National Library of Energy BETA

Sample records for research network locarnet

  1. Singapore-Low Carbon Asia Research Network (LoCARNet) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  2. Myanmar-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  3. Cambodia-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  4. Brunei-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  5. Vietnam-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  6. Malaysia-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  7. India-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  8. Japan-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  9. China-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  10. Laos-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  11. Indonesia-Low Carbon Asia Research Network (LoCARNet) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  12. Philippines-Low Carbon Asia Research Network (LoCARNet) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  13. Thailand-Low Carbon Asia Research Network (LoCARNet) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Energy, Land Focus Area Agriculture, Biomass, Buildings, Economic Development, Energy Efficiency, Forestry, Geothermal, Greenhouse Gas, Hydrogen, Industry, Land Use, People and...

  14. The Ad Lucem Research Network

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Ad Lucem Research Network Lada Adamic Associate Professor, School of Information & Center for the Study of Complex Systems University of Michigan Research interests: structure and dynamics of social and information networks, with a particular emphasis on information diffusion, expertise sharing, and online communities D. Lazer et al. "Computational Social Science." Science 323, 5915 (2009). J. Leskovec, L. A. Adamic, and B. A. Huberman. "The dynamics of viral marketing."

  15. Biological and Environmental Research Network Requirements

    SciTech Connect

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  16. Advanced Scientific Computing Research Network Requirements

    SciTech Connect

    Bacon, Charles; Bell, Greg; Canon, Shane; Dart, Eli; Dattoria, Vince; Goodwin, Dave; Lee, Jason; Hicks, Susan; Holohan, Ed; Klasky, Scott; Lauzon, Carolyn; Rogers, Jim; Shipman, Galen; Skinner, David; Tierney, Brian

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  17. Biological and Environmental Research Network Requirements Review

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Network Requirements Review Final Report September 18-19, 2015 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this doc- ument is believed to contain correct informa on, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness

  18. Networking and Information Technology Research and Development Supplement

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    to the President's Budget (February 2010) | Department of Energy Networking and Information Technology Research and Development Supplement to the President's Budget (February 2010) Networking and Information Technology Research and Development Supplement to the President's Budget (February 2010) This Supplement to the President's Fiscal Year (FY) 2011 Budget provides a technical summary of the budget request for the Networking and Information Technology Research and Development (NITRD)

  19. Nano Communication Networks Update | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Nano Communication Networks Update Click to email this to a friend (Opens in new window) ... Nano Communication Networks Update Steve Bush 2011.12.09 Hi everybody, In my last blog I ...

  20. Intelligent Rail Networks | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research: Holiday Shopping & Electric Vehicles IMG0475 Innovation 247: We're Always Open primusenginefeaturedimage3 GE Innovation and Manufacturing in Europe ...

  1. The Mind Research Network - Mental Illness Neuroscience Discovery Grant

    SciTech Connect

    Roberts, J.; Calhoun, V.

    2013-12-17

    The scientific and technological programs of the Mind Research Network (MRN), reflect DOE missions in basic science and associated instrumentation, computational modeling, and experimental techniques. MRN's technical goals over the course of this project have been to develop and apply integrated, multi-modality functional imaging techniques derived from a decade of DOE-support research and technology development.

  2. Networking and Information Technology Research and Development...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    by the High-Performance Computing Act of 1991 (P.L. 102-194), the Next Generation Internet Research Act of 1998 (P.L. 105-305), and the America COMPETES Act of 2007 (P.L. 110-69). ...

  3. AmeriFlux Measurement Network: Science Team Research

    SciTech Connect

    Law, B E

    2012-12-12

    Research involves analysis and field direction of AmeriFlux operations, and the PI provides scientific leadership of the AmeriFlux network. Activities include the coordination and quality assurance of measurements across AmeriFlux network sites, synthesis of results across the network, organizing and supporting the annual Science Team Meeting, and communicating AmeriFlux results to the scientific community and other users. Objectives of measurement research include (i) coordination of flux and biometric measurement protocols (ii) timely data delivery to the Carbon Dioxide Information and Analysis Center (CDIAC); and (iii) assurance of data quality of flux and ecosystem measurements contributed by AmeriFlux sites. Objectives of integration and synthesis activities include (i) integration of site data into network-wide synthesis products; and (ii) participation in the analysis, modeling and interpretation of network data products. Communications objectives include (i) organizing an annual meeting of AmeriFlux investigators for reporting annual flux measurements and exchanging scientific information on ecosystem carbon budgets; (ii) developing focused topics for analysis and publication; and (iii) developing data reporting protocols in support of AmeriFlux network goals.

  4. UltraSciencenet: High- Performance Network Research Test-Bed

    SciTech Connect

    Rao, Nageswara S; Wing, William R; Poole, Stephen W; Hicks, Susan Elaine; DeNap, Frank A; Carter, Steven M; Wu, Qishi

    2009-04-01

    The high-performance networking requirements for next generation large-scale applications belong to two broad classes: (a) high bandwidths, typically multiples of 10Gbps, to support bulk data transfers, and (b) stable bandwidths, typically at much lower bandwidths, to support computational steering, remote visualization, and remote control of instrumentation. Current Internet technologies, however, are severely limited in meeting these demands because such bulk bandwidths are available only in the backbone, and stable control channels are hard to realize over shared connections. The UltraScience Net (USN) facilitates the development of such technologies by providing dynamic, cross-country dedicated 10Gbps channels for large data transfers, and 150 Mbps channels for interactive and control operations. Contributions of the USN project are two-fold: (a) Infrastructure Technologies for Network Experimental Facility: USN developed and/or demonstrated a number of infrastructure technologies needed for a national-scale network experimental facility. Compared to Internet, USN's data-plane is different in that it can be partitioned into isolated layer-1 or layer-2 connections, and its control-plane is different in the ability of users and applications to setup and tear down channels as needed. Its design required several new components including a Virtual Private Network infrastructure, a bandwidth and channel scheduler, and a dynamic signaling daemon. The control-plane employs a centralized scheduler to compute the channel allocations and a signaling daemon to generate configuration signals to switches. In a nutshell, USN demonstrated the ability to build and operate a stable national-scale switched network. (b) Structured Network Research Experiments: A number of network research experiments have been conducted on USN that cannot be easily supported over existing network facilities, including test-beds and production networks. It settled an open matter by demonstrating

  5. Advanced Scienti c Computing Research Network Requirements Review

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Scienti c Computing Research Network Requirements Review Final Report April 22-23, 2015 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this doc- ument is believed to contain correct informa on, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy,

  6. New Ultra-High Speed Network Connection for Researchers and Educators is 10

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Times Faster Than Commercial Internet Providers | Department of Energy Ultra-High Speed Network Connection for Researchers and Educators is 10 Times Faster Than Commercial Internet Providers New Ultra-High Speed Network Connection for Researchers and Educators is 10 Times Faster Than Commercial Internet Providers October 13, 2011 - 10:47am Addthis Washington, D.C. - U.S. Energy Secretary Steven Chu today announced the activation of an ultra-high speed network connection for scientists,

  7. Architecture of the Multi-Modal Organizational Research and Production Heterogeneous Network (MORPHnet)

    SciTech Connect

    Aiken, R.J.; Carlson, R.A.; Foster, I.T.

    1997-01-01

    The research and education (R&E) community requires persistent and scaleable network infrastructure to concurrently support production and research applications as well as network research. In the past, the R&E community has relied on supporting parallel network and end-node infrastructures, which can be very expensive and inefficient for network service managers and application programmers. The grand challenge in networking is to provide support for multiple, concurrent, multi-layer views of the network for the applications and the network researchers, and to satisfy the sometimes conflicting requirements of both while ensuring one type of traffic does not adversely affect the other. Internet and telecommunications service providers will also benefit from a multi-modal infrastructure, which can provide smoother transitions to new technologies and allow for testing of these technologies with real user traffic while they are still in the pre-production mode. The authors proposed approach requires the use of as much of the same network and end system infrastructure as possible to reduce the costs needed to support both classes of activities (i.e., production and research). Breaking the infrastructure into segments and objects (e.g., routers, switches, multiplexors, circuits, paths, etc.) gives the capability to dynamically construct and configure the virtual active networks to address these requirements. These capabilities must be supported at the campus, regional, and wide-area network levels to allow for collaboration by geographically dispersed groups. The Multi-Modal Organizational Research and Production Heterogeneous Network (MORPHnet) described in this report is an initial architecture and framework designed to identify and support the capabilities needed for the proposed combined infrastructure and to address related research issues.

  8. High-Speed Network Enables Industrial Internet | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Unveils High-Speed Network Infrastructure to Connect Machines, Data and People at Light Speed to the Industrial Internet Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) GE Unveils High-Speed Network Infrastructure to Connect Machines, Data and People at Light Speed to the Industrial Internet New fiber optic network

  9. Get science-Access E-print Network for current research documents,

    Office of Scientific and Technical Information (OSTI)

    researchers' Web sites, and scientific societies | OSTI, US Dept of Energy Office of Scientific and Technical Information science-Access E-print Network for current research documents, researchers' Web sites, and scientific societies Back to the OSTI News Listing for 2007 Gain access to more than 1 million e-print science documents, over 25,000 Web sites, and links to more than 2,900 scientific societies at OSTI's E-print Network, a fast-growing searchable scientific communications network.

  10. Cyber Security Research Frameworks For Coevolutionary Network Defense

    SciTech Connect

    Rush, George D.; Tauritz, Daniel Remy

    2015-12-03

    Several architectures have been created for developing and testing systems used in network security, but most are meant to provide a platform for running cyber security experiments as opposed to automating experiment processes. In the first paper, we propose a framework termed Distributed Cyber Security Automation Framework for Experiments (DCAFE) that enables experiment automation and control in a distributed environment. Predictive analysis of adversaries is another thorny issue in cyber security. Game theory can be used to mathematically analyze adversary models, but its scalability limitations restrict its use. Computational game theory allows us to scale classical game theory to larger, more complex systems. In the second paper, we propose a framework termed Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES) that can coevolve attacker and defender agent strategies and capabilities and evaluate potential solutions with a custom network defense simulation. The third paper is a continuation of the CANDLES project in which we rewrote key parts of the framework. Attackers and defenders have been redesigned to evolve pure strategy, and a new network security simulation is devised which specifies network architecture and adds a temporal aspect. We also add a hill climber algorithm to evaluate the search space and justify the use of a coevolutionary algorithm.

  11. Rail Networks Are Getting Smarter | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Rail Networks Are Getting Smarter Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) RailConnect 360 makes rail networks and operations smarter RailConnect 360 includes Movement Planner, Yard Planner and Trip Optimizer RailConnect 360 increases efficiency Freight trains moving faster could save railroads millions yearly

  12. New Ultra-High Speed Network Connection for Researchers and Educators...

    Office of Environmental Management (EM)

    New Ultra-High Speed Network Connection for Researchers and Educators is 10 Times Faster ... A 4G cell phone is in roughly the same ballpark of about .01 gbps. The new 100 gbps ...

  13. A State-Wide Research Network for Alzheimer's Disease

    SciTech Connect

    Mintzer, Jacobo E.; Bachman, D. L.; Stuckey, M.; Ebeling, M.; Wagner, M. T.; Evans, W. J.; Hirth, V.; Walker, A.; Joglekar, R.; Faison, W.

    2014-03-13

    The Specific Aim of the proposal was to develop an administrative structure that will facilitate the development of AD research across the state of SC by providing key services such as (but not limited to) seeking funding research opportunities, financial tracking, regulatory management, central recruitment, training for investigators and coordinators, data collection, data storing, and data processing to researchers across the state.

  14. International Research Network for Low Carbon Societies (LCS...

    OpenEI (Open Energy Information) [EERE & EIA]

    and recommendations." References Retrieved from "http:en.openei.orgwindex.php?titleInternationalResearchNetworkforLowCarbonSocieties(LCS-RNet)&oldid764934" ...

  15. national-lab-research-network | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    high-pressuretemperature core flow units), NETL researchers are improving pore-scale to reservoir-scale predictive methods to provide accurate and reliable simulations in...

  16. Connect to researchers around the world at OSTI's E-Print Network | OSTI,

    Office of Scientific and Technical Information (OSTI)

    US Dept of Energy Office of Scientific and Technical Information Connect to researchers around the world at OSTI's E-Print Network Back to the OSTI News Listing for 2008 You can browse more than 28,500 Web sites of researchers from around the world, read their abstracts, download their papers, and explore their research institutions, all at OSTI's E-print Network. This rapidly growing service is free and open to the public. Simply go to the browse by disciplines page, and select from an

  17. The Evolution of Research and Education Networks and their Essential Role in

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    be published in: "Trends in High Performance & Large Scale Computing" Lucio Grandinetti and Gerhard Joubert editors, IOS Press publisher The Evolution of Research and Education Networks and their Essential Role in Modern Science William JOHNSTON, Evangelos CHANIOTAKIS, Eli DART, Chin GUOK, Joe METZGER, Brian TIERNEY ESnet, Lawrence Berkeley National Laboratory † Abstract. ESnet - the Energy Sciences Network - has the mission of enabling the aspects of the US Department of

  18. The Use of Underground Research Laboratories to Support Repository Development Programs. A Roadmap for the Underground Research Facilities Network.

    SciTech Connect

    MacKinnon, Robert J.

    2015-10-26

    Under the auspices of the International Atomic Energy Agency (IAEA), nationally developed underground research laboratories (URLs) and associated research institutions are being offered for use by other nations. These facilities form an Underground Research Facilities (URF) Network for training in and demonstration of waste disposal technologies and the sharing of knowledge and experience related to geologic repository development, research, and engineering. In order to achieve its objectives, the URF Network regularly sponsors workshops and training events related to the knowledge base that is transferable between existing URL programs and to nations with an interest in developing a new URL. This report describes the role of URLs in the context of a general timeline for repository development. This description includes identification of key phases and activities that contribute to repository development as a repository program evolves from an early research and development phase to later phases such as construction, operations, and closure. This information is cast in the form of a matrix with the entries in this matrix forming the basis of the URF Network roadmap that will be used to identify and plan future workshops and training events.

  19. Network-based collaborative research environment LDRD final report

    SciTech Connect

    Davies, B.R.; McDonald, M.J.

    1997-09-01

    The Virtual Collaborative Environment (VCE) and Distributed Collaborative Workbench (DCW) are new technologies that make it possible for diverse users to synthesize and share mechatronic, sensor, and information resources. Using these technologies, university researchers, manufacturers, design firms, and others can directly access and reconfigure systems located throughout the world. The architecture for implementing VCE and DCW has been developed based on the proposed National Information Infrastructure or Information Highway and a tool kit of Sandia-developed software. Further enhancements to the VCE and DCW technologies will facilitate access to other mechatronic resources. This report describes characteristics of VCE and DCW and also includes background information about the evolution of these technologies.

  20. Sandia`s research network for Supercomputing `93: A demonstration of advanced technologies for building high-performance networks

    SciTech Connect

    Gossage, S.A.; Vahle, M.O.

    1993-12-01

    Supercomputing `93, a high-performance computing and communications conference, was held November 15th through 19th, 1993 in Portland, Oregon. For the past two years, Sandia National Laboratories has used this conference to showcase and focus its communications and networking endeavors. At the 1993 conference, the results of Sandia`s efforts in exploring and utilizing Asynchronous Transfer Mode (ATM) and Synchronous Optical Network (SONET) technologies were vividly demonstrated by building and operating three distinct networks. The networks encompassed a Switched Multimegabit Data Service (SMDS) network running at 44.736 megabits per second, an ATM network running on a SONET circuit at the Optical Carrier (OC) rate of 155.52 megabits per second, and a High Performance Parallel Interface (HIPPI) network running over a 622.08 megabits per second SONET circuit. The SMDS and ATM networks extended from Albuquerque, New Mexico to the showroom floor, while the HIPPI/SONET network extended from Beaverton, Oregon to the showroom floor. This paper documents and describes these networks.

  1. Report of the Interagency Optical Network Testbeds Workshop 2 September 12-14, 2006 NASA Ames Research Center

    SciTech Connect

    Joe Mambretti Richard desJardins

    2006-05-01

    A new generation of optical networking services and technologies is rapidly changing the world of communications. National and international networks are implementing optical services to supplement traditional packet routed services. On September 12-14, 2005, the Optical Network Testbeds Workshop 2 (ONT2), an invitation-only forum hosted by the NASA Research and Engineering Network (NREN) and co-sponsored by the Department of Energy (DOE), was held at NASA Ames Research Center in Mountain View, California. The aim of ONT2 was to help the Federal Large Scale Networking Coordination Group (LSN) and its Joint Engineering Team (JET) to coordinate testbed and network roadmaps describing agency and partner organization views and activities for moving toward next generation communication services based on leading edge optical networks in the 3-5 year time frame. ONT2 was conceived and organized as a sequel to the first Optical Network Testbeds Workshop (ONT1, August 2004, www.nren.nasa.gov/workshop7). ONT1 resulted in a series of recommendations to LSN. ONT2 was designed to move beyond recommendations to agree on a series of “actionable objectives” that would proactively help federal and partner optical network testbeds and advanced research and education (R&E) networks to begin incorporating technologies and services representing the next generation of advanced optical networks in the next 1-3 years. Participants in ONT2 included representatives from innovative prototype networks (Panel A), basic optical network research testbeds (Panel B), and production R&D networks (Panels C and D), including “JETnets,” selected regional optical networks (RONs), international R&D networks, commercial network technology and service providers (Panel F), and senior engineering and R&D managers from LSN agencies and partner organizations. The overall goal of ONT2 was to identify and coordinate short and medium term activities and milestones for researching, developing, identifying

  2. Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    by more powerful supercomputers, global collaborations that can involve thousands of researchers, and specialized facilities like the Large Hadron Collider and digital sky surveys. ...

  3. Wind power: executive summary on research on network wind power over the Pacific Northwest. Progress report, October 1979-September 1980

    SciTech Connect

    Baker, R.W.; Hewson, E.W.

    1980-10-01

    This research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations.

  4. DOE Launches First Segment of its Next-Generation Nationwide Network to Support Scientific Research Efforts

    Energy.gov [DOE]

    WASHINGTON, DC- The U.S. Department of Energy's (DOE) Office of Science and Internet2 announced today that the first segment of a next-generation, nationwide network has gone live, marking a key...

  5. E-print Network Web Log News: Research Communications for Scientists...

    Office of Scientific and Technical Information (OSTI)

    Description This Web Log provides the latest information about changes to E-print Network ... questions, concerns and other input by using the Contact Us page. Web Log Archive

  6. Historical Network Maps

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science

  7. Privacy and Security Research Group workshop on network and distributed system security: Proceedings

    SciTech Connect

    Not Available

    1993-05-01

    This report contains papers on the following topics: NREN Security Issues: Policies and Technologies; Layer Wars: Protect the Internet with Network Layer Security; Electronic Commission Management; Workflow 2000 - Electronic Document Authorization in Practice; Security Issues of a UNIX PEM Implementation; Implementing Privacy Enhanced Mail on VMS; Distributed Public Key Certificate Management; Protecting the Integrity of Privacy-enhanced Electronic Mail; Practical Authorization in Large Heterogeneous Distributed Systems; Security Issues in the Truffles File System; Issues surrounding the use of Cryptographic Algorithms and Smart Card Applications; Smart Card Augmentation of Kerberos; and An Overview of the Advanced Smart Card Access Control System. Selected papers were processed separately for inclusion in the Energy Science and Technology Database.

  8. Network Maps

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Network Maps Engineering Services The Network Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet...

  9. BER Science Network Requirements

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted July 26 and 27, 2007 BER Science Network Requirements Workshop Biological and Environmental Research Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - July 26 and 27, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by

  10. Residential Network Members Unite to Form Green Bank Network...

    Energy.gov [DOE] (indexed site)

    The NY Green Bank logo. Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and ...

  11. A densely distributed high-sensitivity seismograph network in Japan: Hi-net by National Research Institute for Earth Science and Disaster Prevention

    SciTech Connect

    Obara, Kazushige; Kasahara, Keiji; Hori, Sadaki; Okada, Yoshimitsu

    2005-02-01

    Seismic observations to retrieve various information from the Earth are the basis of seismology. A seismic observation system requires various technologies for vibration sensors, analog-and-digital measurement, data transmission, and computing for mass data analysis, for example. New developments in technology are adopted whenever possible in the construction of seismic observation systems. In Japan, after the disastrous Kobe Earthquake in 1995, a high-density and high-sensitivity seismograph network was constructed. The seismic network, called the National Research Institute for Earth Science and Disaster Prevention (NIED) Hi-net, uniformly covers the Japanese Islands with a spacing of 20-30 km. As a result, the detection capability for microearthquakes has been greatly improved, and various research using Hi-net data has indicated that this seismic network has a great potential to resolve the underground structure and various geophysical phenomena as a radar-array oriented toward the Earth. Equipped with modern standard techniques, the Hi-net system is designed to be able to be smoothly upgradeable in the future.

  12. Energy Sciences Network (ESnet)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    making it the standard for research institutions today. Read More ESnet Releases Open Source Software from MyESnet Portal for Building Online Interactive Network Portals ESnet...

  13. Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Research Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Research thorium test foil A thorium test foil target for proof-of-concept actinium-225 production In addition to our routine isotope products, the LANL Isotope Program is focused on developing the next suite of isotopes and services to meet the Nation's emerging needs. The LANL Isotope Program's R&D strategy is focused on four main areas (see

  14. BES Science Network Requirements

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted June 4-5, 2007 BES Science Network Requirements Workshop Basic Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Washington, DC - June 4 and 5, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which

  15. Research

    SciTech Connect

    1999-10-01

    Subjects covered in this section are: (1) PCAST panel promotes energy research cooperation; (2) Letter issued by ANS urges funding balance in FFTF restart consideration and (3) FESAC panel releases report on priorities and balance.

  16. Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The LANL Isotope Program's R&D strategy is focused on four main areas (see article list below for recent efforts in these areas): Medical Applications are a key focus for research ...

  17. U.S. Environmental Protection Agency national network of research centers: A case study in socio-political influences on research

    SciTech Connect

    Morehouse, K.

    1995-12-01

    During the 15 years that the U.S. Environmental Protection Agency (EPA) has supported university-based research centers, there have been many changes in mission, operating style, funding level, eligibility, and selection process. Even the definition of the term {open_quotes}research center{close_quotes} is open to debate. Shifting national priorities, political realities, and funding uncertainties have powered the evolution of research centers in EPA, although the agency`s basic philosophy on the purpose and value of this approach to research remains essentially unchanged. Today, EPA manages 28 centers, through the Office of Exploratory Research. These centers are administered under three distinct programs. Each program has its own mission and goals which guide the way individual centers are selected and operated. This paper will describe: (1) EPA`s philosophy of reserach centers, (2) the complicated history of EPA research centers, (3) coordination and interaction among EPA centers and others, (4) opportunities for collaboration, and (5) plans for the future.

  18. Networks, smart grids: new model for synchronization

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that ...

  19. Neural Networks

    SciTech Connect

    Smith, Patrick I.

    2003-09-23

    Physicists use large detectors to measure particles created in high-energy collisions at particle accelerators. These detectors typically produce signals indicating either where ionization occurs along the path of the particle, or where energy is deposited by the particle. The data produced by these signals is fed into pattern recognition programs to try to identify what particles were produced, and to measure the energy and direction of these particles. Ideally, there are many techniques used in this pattern recognition software. One technique, neural networks, is particularly suitable for identifying what type of particle caused by a set of energy deposits. Neural networks can derive meaning from complicated or imprecise data, extract patterns, and detect trends that are too complex to be noticed by either humans or other computer related processes. To assist in the advancement of this technology, Physicists use a tool kit to experiment with several neural network techniques. The goal of this research is interface a neural network tool kit into Java Analysis Studio (JAS3), an application that allows data to be analyzed from any experiment. As the final result, a physicist will have the ability to train, test, and implement a neural network with the desired output while using JAS3 to analyze the results or output. Before an implementation of a neural network can take place, a firm understanding of what a neural network is and how it works is beneficial. A neural network is an artificial representation of the human brain that tries to simulate the learning process [5]. It is also important to think of the word artificial in that definition as computer programs that use calculations during the learning process. In short, a neural network learns by representative examples. Perhaps the easiest way to describe the way neural networks learn is to explain how the human brain functions. The human brain contains billions of neural cells that are responsible for processing

  20. Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research CORE-SHELL NANOPARTICLES AND NANOSTRUCTURED MESOPOROUS MATERIALS(NMMs) Nanomaterials need no special introduction as interest in them sparked exponential growth in the past couple of decades, not only in scientific laboratories but also in industries around the world. In addition to size and shape effects, newer designs of nanostructures have also begun gaining prominence providing a new opportunity to tailor the properties of nanomaterials and investigate their fundamental behavior as

  1. Network Activity

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Statistics Network Activity Network Activity PDSF Network Uplinks to NERSC (dual 10 Gbps) NERSC Uplink to ESnet Last edited: 2011-03-31 22:20:59...

  2. Current Testbed Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Current Testbed Research Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds 100G SDN Testbed Dark Fiber Testbed Test Circuit Service Testbed Results Current Testbed Research Previous Testbed Research Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network

  3. Software-Defined Networking (SDN)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ENOS Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Software-Defined Networking (SDN) Network R&D Software-Defined Networking (SDN) ENOS Experimental

  4. ESnet Network Operating System (ENOS)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ENOS Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Software-Defined Networking (SDN) » ENOS Network R&D Software-Defined Networking (SDN) ENOS

  5. Exploiting Network Parallelism

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research and Education (R&E) backbones, including the Energy Sciences Network and Internet... GridFTP extensions provide for, among other things, striping (i.e., the use of multiple ...

  6. Software Defined Networking (SDN) Project

    Energy.gov [DOE] (indexed site)

    Project Description This project is developing an energy ... appliances. The SDN abstracts the network into three ... May 2015 Figure 1: SDN Applications Phase 1: Research and ...

  7. Residential Network Members Unite to Form Green Bank Network

    Energy.gov [DOE]

    Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and Development Authority, have helped launch the Green Bank Network, a new international organization focused on collaborating to scale up private financing to meet the challenge of climate change.

  8. The Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Network Engineering Services The Network Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net The Network A Nationwide Platform for Science Discovery The

  9. Better Buildings Network View February 2016

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    BetterBuildings Network View News From the Field Residential Network Members Unite to Form Green Bank Network Residential Network member Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and Development Authority, have helped launch the Green Bank Network, a new international organization focused on collaborating to scale up private financing to meet the challenge of climate change. During the United Nations Climate Change

  10. Current Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Current Research The U.S. Department of Transportation (USDOT) has established its only high-performance computing and engineering analysis research facility at Argonne National Laboratory to provide applications support in key areas of applied research and development for the USDOT community. The Transportation Research and Analysis Computing Center (TRACC) features a state-of-the-art massively parallel computer system, advanced scientific visualization capability, high-speed network

  11. E-print Network home page -- Energy, science, and technology...

    Office of Scientific and Technical Information (OSTI)

    Energy, science, and technology for the research community Enter Search Terms Search Advanced Search The E-print Network is . . . . . . a vast, integrated network of electronic ...

  12. Emerson Network Power Co Ltd | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Power Co Ltd Jump to: navigation, search Name: Emerson Network Power Co Ltd Place: Canada Product: Power network developer. Involved in fuel cell power research consortia....

  13. New Incubator Network to Help Clean-Energy Entrepreneurs - News...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    New Incubator Network to Help Clean-Energy Entrepreneurs February 4, 2015 The Energy ... Electric Power Research Institute (EPRI) have launched the Clean Energy Incubator Network. ...

  14. BES Science Network Requirements

    SciTech Connect

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivityfor the US Department of Energy Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of the Office ofScience programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years.

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Precipitation Estimation from the ARM Distributed Radar Network Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Giangrande SE, S Collis, A Theisen, and A Tokay. 2014. "Precipitation Estimation from the ARM Distributed Radar Network During the MC3E Campaign." Journal of Applied Meteorology and Climatology, 53(9),

  16. Operating Innovative Networks Workshop Series

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Operating Innovative Networks Workshop Series Science Engagement Move your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Operating Innovative

  17. NP Science Network Requirements

    SciTech Connect

    Dart, Eli; Rotman, Lauren; Tierney, Brian

    2011-08-26

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. To support SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2011, ESnet and the Office of Nuclear Physics (NP), of the DOE SC, organized a workshop to characterize the networking requirements of the programs funded by NP. The requirements identified at the workshop are summarized in the Findings section, and are described in more detail in the body of the report.

  18. Data for Researchers

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    D » Data for Researchers Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Data for Researchers ESnet makes all it's SNMP data and

  19. Functional Ecological Gene Networks to Reveal the Changes Among...

    Office of Scientific and Technical Information (OSTI)

    indicating the potential importance of network interactions in ecosystem functioning. ... aremore fundamentally important for research in microbial ecology, systems ...

  20. Experimental Network Testbeds

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Galleries ESnet Awards and Honors Blog ESnet Live Home Network R&D Experimental Network Testbeds Network R&D Overview Experimental Network Testbeds 100G SDN...

  1. Social Network and Communications Institutional Change Principle |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Network and Communications Institutional Change Principle Social Network and Communications Institutional Change Principle Federal agencies can use social networks and communications to spark and reinforce behavior change for meeting sustainability goals. This principle is based on research findings showing that people and institutions often are strongly influenced by the behaviors and expectations of others. Methods The social network and communications behavior change

  2. Developer Network

    Energy Science and Technology Software Center

    2012-08-21

    NREL's Developer Network, developer.nrel.gov, provides data that users can access to provide data to their own analyses, mobile and web applications. Developers can retrieve the data through a Web services API (application programming interface). The Developer Network handles overhead of serving up web services such as key management, authentication, analytics, reporting, documentation standards, and throttling in a common architecture, while allowing web services and APIs to be maintained and managed independently.

  3. Sentient networks

    SciTech Connect

    Chapline, G.

    1998-03-01

    The engineering problems of constructing autonomous networks of sensors and data processors that can provide alerts for dangerous situations provide a new context for debating the question whether man-made systems can emulate the cognitive capabilities of the mammalian brain. In this paper we consider the question whether a distributed network of sensors and data processors can form ``perceptions`` based on sensory data. Because sensory data can have exponentially many explanations, the use of a central data processor to analyze the outputs from a large ensemble of sensors will in general introduce unacceptable latencies for responding to dangerous situations. A better idea is to use a distributed ``Helmholtz machine`` architecture in which the sensors are connected to a network of simple processors, and the collective state of the network as a whole provides an explanation for the sensory data. In general communication within such a network will require time division multiplexing, which opens the door to the possibility that with certain refinements to the Helmholtz machine architecture it may be possible to build sensor networks that exhibit a form of artificial consciousness.

  4. Networks, smart grids: new model for synchronization

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    May » Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that accurately predicts synchronization as a function of the parameters and the topology of the underlying network. May 21, 2013 High voltage transmission lines carry electrical power. High voltage transmission lines carry electrical power. The researchers envision that their method could be applied to assess

  5. BER Science Network Requirements

    SciTech Connect

    Alapaty, Kiran; Allen, Ben; Bell, Greg; Benton, David; Brettin, Tom; Canon, Shane; Dart, Eli; Cotter, Steve; Crivelli, Silvia; Carlson, Rich; Dattoria, Vince; Desai, Narayan; Egan, Richard; Tierney, Brian; Goodwin, Ken; Gregurick, Susan; Hicks, Susan; Johnston, Bill; de Jong, Bert; Kleese van Dam, Kerstin; Livny, Miron; Markowitz, Victor; McGraw, Jim; McCord, Raymond; Oehmen, Chris; Regimbal, Kevin; Shipman, Galen; Strand, Gary; Flick, Jeff; Turnbull, Susan; Williams, Dean; Zurawski, Jason

    2010-11-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

  6. Enlighten Your Research Global Program

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Enlighten Your Research Global Program Science Engagement Move your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten...

  7. Science DMZ Fuels Fusion Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Science DMZ Fuels Fusion Research General Atomics remote controls fusion experiments, bridges...

  8. Research Projects | The Ames Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Projects Analysis of Gas Turbine Thermal Performances Development of Virtual Power Plants High Density Sensor Network Development Virtual Advanced Power Training ...

  9. Nothing But Networking for Residential Network Members | Department...

    Energy Saver

    Nothing But Networking for Residential Network Members Nothing But Networking for Residential Network Members Better Buildings Residential Network Peer Exchange Call: Nothing But ...

  10. HPSS Yearly Network Traffic

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of IO Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for...

  11. Network Performance and Troubleshooting (perfSONAR)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Performance (perfSONAR) Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Network Performance and Troubleshooting (perfSONAR) perfSONAR:

  12. ASCR Science Network Requirements

    SciTech Connect

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high

  13. 100Gbps Science Network | U.S. DOE Office of Science (SC)

    Office of Science (SC)

    The ANI network will also jump-start ESnet's research in support of "green" energy-efficient networking - a hot priority as network and supercomputing center energy demands keep ...

  14. EIA - Natural Gas Pipeline Network - Network Configuration &...

    Energy Information Administration (EIA) (indexed site)

    Network Configuration & System Design About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Network Configuration and ...

  15. Insecurity of Wireless Networks

    SciTech Connect

    Sheldon, Frederick T; Weber, John Mark; Yoo, Seong-Moo; Pan, W. David

    2012-01-01

    Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.

  16. NetworkX

    Energy Science and Technology Software Center

    2004-05-17

    NetworkX (abbreviated NX in the software and documentation) is a package for studying network structure using graph theory.

  17. Evolution of Grain Boundary Networks in Extreme Radiation Environments

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of the Evolution of Grain Boundary Networks in Extreme Radiation Environments. Evolution of Grain Boundary Networks in Extreme Radiation Environments Research Our objective is to understand the characteristics of an "optimal" grain boundary (GB) network that minimizes microstructural evolution in radiation environments. Through our research we have elucidated that this optimal network requires a balance between two populations of grain boundaries: low free volume (low free energy)

  18. Networks in Buildings: Which Path Forward?

    SciTech Connect

    Nordman, Bruce

    2008-08-17

    To date, digital networks have principally been installed for connecting information technology devices, with more modest use in consumer electronics, security, and large building control systems. The next 20 years will see much greater deployment of networks in buildings of all types, and across all end uses. Most of these are likely to be introduced primarily for reasons other than energy efficiency, and add energy use for network interfaces and network products. Widespread networking could easily lead to increased energy use, and experience with IT and CE networks suggests this may be likely. Active engagement by energy efficiency professionals in the architecture and design of future networks could lead to their being a large and highly cost-effective tool for efficiency. However, network standards are complex and take many years to develop and negotiate so that lack of action on this in the near term may foreclose important opportunities for years or decades to come. Digital networks need to be common globally, providing another challenge to building systems and elements that are more commonly designed only for national or regional markets. Key future networks are lighting, climate control, and security/presence. This paper reviews some examples of past network designs and use and the lessons they hold for future building networks. It also highlights key needed areas for research, policy, and standards development.

  19. ESnet - the energy sciences network strategic plan

    SciTech Connect

    1996-12-01

    The goal of the Energy Sciences Network (ESnet) Program is to provide a highly capable and reliable communications infrastructure that supports the Department of Energy`s (DOE) missions and enables DOE researchers to tap the power of leading-edge information technologies. ESnet provides an essential infrastructure that enhances national competitiveness and accelerates the development of future generations of high-performance, distributed computing systems and networks. These computing systems and networks are vital to modern scientific research. In addition, they enable development of new approaches to energy management, environmental restoration and waste management, national security, industrial processing, and health care, and also facilitate public access to government information. Extensive networks developed by the DOE`s high-energy physics and fusion energy research communities were the forerunners of the ESnet. These networks initially provided improved access to high-energy accelerator sites and to the Magnetic Fusion Energy Supercomputer Center, which opened at Lawrence Livermore National Laboratory in 1974.

  20. Reliable Communication Models in Interdependent Critical Infrastructure Networks

    SciTech Connect

    Lee, Sangkeun; Chinthavali, Supriya; Shankar, Mallikarjun

    2016-01-01

    Modern critical infrastructure networks are becoming increasingly interdependent where the failures in one network may cascade to other dependent networks, causing severe widespread national-scale failures. A number of previous efforts have been made to analyze the resiliency and robustness of interdependent networks based on different models. However, communication network, which plays an important role in today's infrastructures to detect and handle failures, has attracted little attention in the interdependency studies, and no previous models have captured enough practical features in the critical infrastructure networks. In this paper, we study the interdependencies between communication network and other kinds of critical infrastructure networks with an aim to identify vulnerable components and design resilient communication networks. We propose several interdependency models that systematically capture various features and dynamics of failures spreading in critical infrastructure networks. We also discuss several research challenges in building reliable communication solutions to handle failures in these models.

  1. Sandia Energy - Sandia Builds Android-Based Network to Study...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    to Study Cyber Disruptions Home Infrastructure Security Cyber News News & Events Cybersecurity Technologies Research Laboratory Sandia Builds Android-Based Network to Study...

  2. Vehicle Technologies Office Merit Review 2015: Integrated Network...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about Integrated Network Testbed for Energy Grid Research and...

  3. Flow Batteries Enabled by Nanoscale Percolating Conductor Networks...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5, 2014, Research Highlights Flow Batteries Enabled by Nanoscale Percolating Conductor Networks Images for Flow Batteries Scientific Achievement Created novel electronically ...

  4. Groundwater Monitoring Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67 wells in alluvium in canyons. August 1, 2013 Map of LANL's groundwater monitoring network Map of LANL's groundwater monitoring network

  5. Research Experience in Carbon Sequestration 2015 Now Accepting...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    (NETL), and the CCUS Research Coordination Network is currently accepting ... students with backgrounds in geology, chemistry, hydrology, physics, engineering, ...

  6. Biological and Environmenal Research Network Requirements Review

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... the ESGF. As the emphasis on finer spa al resolu on for climate and environmental ... Background soil characteris cs and spa al variability were documented in detail at the ...

  7. Enlighten Your Research Global Program

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Enlighten Your Research Global Program Science Engagement Move your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Enlighten Your Research

  8. Interconnection networks

    DOEpatents

    Faber, V.; Moore, J.W.

    1988-06-20

    A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

  9. Moving | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Moving We're always working on planes, trains and automobiles-and specialized ways to move people and products efficiently and sustainably. Home > Impact > Moving Rail Networks Are Getting Smarter Sources: 2012 GE Annual Report (page 12); Norfolk Southern 2010 sustainability reporter (page 17) North American Freight Railroad... Read More » The GE Store for Technology is Open for Business Welcome to GE Global Research, also known as the GE Store for Technology. Across our global network of

  10. ESnet: Advanced Networking for Science

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    N E R G Y S C I E N C E S N E T W O R K Researchers around the world using advanced computing for scientific discovery are connected via the DOE-operated Energy Sciences Network (ESnet). By providing a reliable, high-performance communications infrastructure, ESnet facilitates the large-scale, collaborative science endeavors fundamental to Office of Science missions. Energy Sciences Network In many ways, the dramatic achievements of 21st century scientific discovery-often involving enormous data

  11. Valley Entrepreneurs' Network (VEN) Monthly Network Meeting

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    VEN Monthly Network Meeting Valley Entrepreneurs' Network (VEN) Monthly Network Meeting WHEN: Mar 05, 2015 5:30 PM - 7:00 PM WHERE: Anthony's At the Delta North Paseo De Onate, Española, NM CATEGORY: Community INTERNAL: Calendar Login Event Description An evening of exciting enterprise networking with like-minded entrepreneurs. For more information, contact Alejandro, VEN Coordinator, at (505) 410-0959

  12. Polytechnic Institute of New York University Researchers Represented...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    E-print Network ResearcherResearch Institution Web page Aronov, Boris - Department of Computer Science and Engineering, Polytechnic Institute of New York University http:...

  13. Sandia Energy - Cybersecurity Technologies Research Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Cybersecurity Technologies Research Laboratory Home Cyber Permalink Gallery Sandia Builds Android-Based Network to Study Cyber Disruptions Cyber, Cybersecurity Technologies...

  14. National Laboratory Fukushima Support Network (NLFSN) Workflow | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Workflow National Laboratory Fukushima Support Network (NLFSN) Workflow This document illustrates the proposed distribution and workflow of any requests made through the NLFSN network. National Laboratory Fukushima Support Network (NLFSN) Workflow (176.39 KB) More Documents & Publications National Laboratory Fukushima Support Network (NLFSN) Pre-Decisional Fact Sheet Status of UFD Campaign International Activities in Disposal Research DFAS Wide-Area Workflow Issues

  15. STIMULUS: End-System Network Interface Controller for 100 Gb/s Wide Area Networks

    SciTech Connect

    Zarkesh-Ha, Payman

    2014-09-12

    The main goal of this research grant is to develop a system-level solution leveraging novel technologies that enable network communications at 100 Gb/s or beyond. University of New Mexico in collaboration with Acadia Optronics LLC has been working on this project to develop the 100 Gb/s Network Interface Controller (NIC) under this Department of Energy (DOE) grant.

  16. Damselfly Network Simulator

    Energy Science and Technology Software Center

    2014-04-01

    Damselfly is a model-based parallel network simulator. It can simulate communication patterns of High Performance Computing applications on different network topologies. It outputs steady-state network traffic for a communication pattern, which can help in studying network congestion and its impact on performance.

  17. Host Event Based Network Monitoring

    SciTech Connect

    Jonathan Chugg

    2013-01-01

    The purpose of INL’s research on this project is to demonstrate the feasibility of a host event based network monitoring tool and the effects on host performance. Current host based network monitoring tools work on polling which can miss activity if it occurs between polls. Instead of polling, a tool could be developed that makes use of event APIs in the operating system to receive asynchronous notifications of network activity. Analysis and logging of these events will allow the tool to construct the complete real-time and historical network configuration of the host while the tool is running. This research focused on three major operating systems commonly used by SCADA systems: Linux, WindowsXP, and Windows7. Windows 7 offers two paths that have minimal impact on the system and should be seriously considered. First is the new Windows Event Logging API, and, second, Windows 7 offers the ALE API within WFP. Any future work should focus on these methods.

  18. HPSS Yearly Network Traffic

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of I/O Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for each year between storage and network destinations (systems within and outside of NERSC). Traffic for the current year is an estimate derived by scaling the known months traffic up to 12 months. The years shown are calendar years. The first graph shows the overall growth in network traffic to storage over the years.

  19. Energy Sciences Network (ESnet) | U.S. DOE Office of Science (SC)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Sciences Network (ESnet) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science Highlights Benefits of ASCR Funding Opportunities Advanced

  20. Advanced Scientific Computing Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Advanced Scientific Computing Research Advanced Scientific Computing Research Discovering, developing, and deploying computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. Get Expertise Pieter Swart (505) 665 9437 Email Pat McCormick (505) 665-0201 Email Galen Shipman (505) 665-4021 Email Fulfilling the potential of emerging computing systems and architectures beyond today's tools and techniques to deliver

  1. Hybrid function projective synchronization in complex dynamical networks

    SciTech Connect

    Wei, Qiang; Wang, Xing-yuan, E-mail: wangxy@dlut.edu.cn; Hu, Xiao-peng [Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024 (China)] [Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024 (China)

    2014-02-15

    This paper investigates hybrid function projective synchronization in complex dynamical networks. When the complex dynamical networks could be synchronized up to an equilibrium or periodic orbit, a hybrid feedback controller is designed to realize the different component of vector of node could be synchronized up to different desired scaling function in complex dynamical networks with time delay. Hybrid function projective synchronization (HFPS) in complex dynamical networks with constant delay and HFPS in complex dynamical networks with time-varying coupling delay are researched, respectively. Finally, the numerical simulations show the effectiveness of theoretical analysis.

  2. ESnet, NERSC Blaze 400G Production Network Path

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ESnet, NERSC Blaze 400G Production Network Path ESnet, NERSC Blaze 400G Production Network Path 400G Link is First Ever by R&E Network November 10, 2015 Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 NetworkMapIllustration.png This map shows the 400G production link between Wang Hall at the main LBNL site and the Oakland Scientific Facility. The Department of Energy's Energy Sciences Network (ESnet) and the National Energy Research Scientific Computing Center (NERSC) have built a 400

  3. Advanced mobile networking, sensing, and controls.

    SciTech Connect

    Feddema, John Todd; Kilman, Dominique Marie; Byrne, Raymond Harry; Young, Joseph G.; Lewis, Christopher L.; Van Leeuwen, Brian P.; Robinett, Rush D. III; Harrington, John J.

    2005-03-01

    This report describes an integrated approach for designing communication, sensing, and control systems for mobile distributed systems. Graph theoretic methods are used to analyze the input/output reachability and structural controllability and observability of a decentralized system. Embedded in each network node, this analysis will automatically reconfigure an ad hoc communication network for the sensing and control task at hand. The graph analysis can also be used to create the optimal communication flow control based upon the spatial distribution of the network nodes. Edge coloring algorithms tell us that the minimum number of time slots in a planar network is equal to either the maximum number of adjacent nodes (or degree) of the undirected graph plus some small number. Therefore, the more spread out that the nodes are, the fewer number of time slots are needed for communication, and the smaller the latency between nodes. In a coupled system, this results in a more responsive sensor network and control system. Network protocols are developed to propagate this information, and distributed algorithms are developed to automatically adjust the number of time slots available for communication. These protocols and algorithms must be extremely efficient and only updated as network nodes move. In addition, queuing theory is used to analyze the delay characteristics of Carrier Sense Multiple Access (CSMA) networks. This report documents the analysis, simulation, and implementation of these algorithms performed under this Laboratory Directed Research and Development (LDRD) effort.

  4. Network II Database

    Energy Science and Technology Software Center

    1994-11-07

    The Oak Ridge National Laboratory (ORNL) Rail and Barge Network II Database is a representation of the rail and barge system of the United States. The network is derived from the Federal Rail Administration (FRA) rail database.

  5. Class network routing

    DOEpatents

    Bhanot, Gyan; Blumrich, Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E.; Heidelberger, Philip; Steinmacher-Burow, Burkhard D.; Takken, Todd E.; Vranas, Pavlos M.

    2009-09-08

    Class network routing is implemented in a network such as a computer network comprising a plurality of parallel compute processors at nodes thereof. Class network routing allows a compute processor to broadcast a message to a range (one or more) of other compute processors in the computer network, such as processors in a column or a row. Normally this type of operation requires a separate message to be sent to each processor. With class network routing pursuant to the invention, a single message is sufficient, which generally reduces the total number of messages in the network as well as the latency to do a broadcast. Class network routing is also applied to dense matrix inversion algorithms on distributed memory parallel supercomputers with hardware class function (multicast) capability. This is achieved by exploiting the fact that the communication patterns of dense matrix inversion can be served by hardware class functions, which results in faster execution times.

  6. Virtualized Network Control (VNC)

    SciTech Connect

    Lehman, Thomas; Guok, Chin; Ghani, Nasir

    2013-01-31

    The focus of this project was on the development of a "Network Service Plane" as an abstraction model for the control and provisioning of multi-layer networks. The primary motivation for this work were the requirements of next generation networked applications which will need to access advanced networking as a first class resource at the same level as compute and storage resources. A new class of "Intelligent Network Services" were defined in order to facilitate the integration of advanced network services into application specific workflows. This new class of network services are intended to enable real-time interaction between the application co-scheduling algorithms and the network for the purposes of workflow planning, real-time resource availability identification, scheduling, and provisioning actions.

  7. Energy Efficient Digital Networks

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Efficient Digital Networks Rich Brown Lawrence Berkeley National Laboratory Presentation to DOE State Energy Advisory Board Meeting August 14, 2007 REBrown@LBL.gov - efficientnetworks.LBL.gov Overview * Background on Electronics and Digital Networks * LBNL Project: "Energy Efficient Digital Networks * Future Directions Electronics and Networks * Electronics are an end-use of electricity -"Devices whose primary function is Information (obtain, store, manage, present)" -Includes

  8. Science-Driven Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 1-1 Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 Contributors Paul Adams, LBNL (Advanced Light Source) Shane Canon, ORNL (NLCF) Steven Carter, ORNL (NLCF) Brent Draney, LBNL (NERSC) Martin Greenwald, MIT (Magnetic Fusion Energy) Jason Hodges, ORNL (Spallation

  9. Evangelos Chaniotakis, Network Engineer

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Evangelos Chaniotakis About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart ESnet Leadership Administration Advanced Network Technologies Cybersecurity Infrastructure, Identity & Collaboration Network Engineering Network Planning Operational Enhancements Office of the CTO Science Engagement Tools Team Contact Us Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600

  10. Nothing But Networking for Residential Network Members | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Nothing But Networking for Residential Network Members Nothing But Networking for Residential Network Members Better Buildings Residential Network Peer Exchange Call: Nothing But Networking for Residential Network Members, Call Slides and Discussion Summary, March 12, 2015. Call Slides and Discussion Summary (733 KB) More Documents & Publications Better Buildings Residential Network Orientation Webinar Community Organizing and Outreach Outreach to Multifamily Landlords and Tenants

  11. Calorimetry Network Program

    Energy Science and Technology Software Center

    1998-01-30

    This is a Windows NT based program to run the SRTC designed calorimeters. The network version can communicate near real time data and final data values over the network. This version, due to network specifics, can function in a stand-alone operation also.

  12. Metallic nanowire networks

    DOEpatents

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

    A metallic nanowire network synthesized using chemical reduction of a metal ion source by a reducing agent in the presence of a soft template comprising a tubular inverse micellar network. The network of interconnected polycrystalline nanowires has a very high surface-area/volume ratio, which makes it highly suitable for use in catalytic applications.

  13. Enerlogics Networks | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Networks Name: Enerlogics Networks Place: Pittsburgh, Pennsylvania Product: buidling automation control systems to utility software solutions to telecommunication systems...

  14. Internet protocol network mapper

    DOEpatents

    Youd, David W.; Colon III, Domingo R.; Seidl, Edward T.

    2016-02-23

    A network mapper for performing tasks on targets is provided. The mapper generates a map of a network that specifies the overall configuration of the network. The mapper inputs a procedure that defines how the network is to be mapped. The procedure specifies what, when, and in what order the tasks are to be performed. Each task specifies processing that is to be performed for a target to produce results. The procedure may also specify input parameters for a task. The mapper inputs initial targets that specify a range of network addresses to be mapped. The mapper maps the network by, for each target, executing the procedure to perform the tasks on the target. The results of the tasks represent the mapping of the network defined by the initial targets.

  15. Exploring network structure, dynamics, and function using networkx

    SciTech Connect

    Hagberg, Aric; Swart, Pieter; S Chult, Daniel

    2008-01-01

    NetworkX is a Python language package for exploration and analysis of networks and network algorithms. The core package provides data structures for representing many types of networks, or graphs, including simple graphs, directed graphs, and graphs with parallel edges and self loops. The nodes in NetworkX graphs can be any (hashable) Python object and edges can contain arbitrary data; this flexibility mades NetworkX ideal for representing networks found in many different scientific fields. In addition to the basic data structures many graph algorithms are implemented for calculating network properties and structure measures: shortest paths, betweenness centrality, clustering, and degree distribution and many more. NetworkX can read and write various graph formats for eash exchange with existing data, and provides generators for many classic graphs and popular graph models, such as the Erdoes-Renyi, Small World, and Barabasi-Albert models, are included. The ease-of-use and flexibility of the Python programming language together with connection to the SciPy tools make NetworkX a powerful tool for scientific computations. We discuss some of our recent work studying synchronization of coupled oscillators to demonstrate how NetworkX enables research in the field of computational networks.

  16. Research | Photovoltaic Research | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research From photovoltaic (PV) materials to PV modules to PV systems, the National Center for Photovoltaics (NCPV) at the National Renewable Energy Laboratory (NREL) pursues ...

  17. June 2016 National Idling Reduction Network News | Department of Energy

    Energy Saver

    6 National Idling Reduction Network News June 2016 National Idling Reduction Network News August 3, 2016 - 6:32pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the June 2016

  18. February 2016 National Idling Reduction Network News | Department of Energy

    Energy Saver

    6 National Idling Reduction Network News February 2016 National Idling Reduction Network News April 5, 2016 - 10:05am Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the

  19. January 2016 National Idling Reduction Network News | Department of Energy

    Energy Saver

    6 National Idling Reduction Network News January 2016 National Idling Reduction Network News March 10, 2016 - 1:25pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the

  20. July 2015 National Idling Reduction Network News | Department of Energy

    Energy Saver

    July 2015 National Idling Reduction Network News July 2015 National Idling Reduction Network News September 8, 2015 - 11:01am Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is

  1. May 2015 National Idling Reduction Network News | Department of Energy

    Energy Saver

    5 National Idling Reduction Network News May 2015 National Idling Reduction Network News July 2, 2015 - 4:19pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the May 2015

  2. November 2015 National Idling Reduction Network News | Department of Energy

    Energy Saver

    5 National Idling Reduction Network News November 2015 National Idling Reduction Network News January 7, 2016 - 1:54pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the

  3. September 2015 National Idling Reduction Network News | Department of

    Energy Saver

    Energy 5 National Idling Reduction Network News September 2015 National Idling Reduction Network News November 5, 2015 - 12:26pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States.

  4. April 2015 National Idling Reduction Network News | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    April 2015 National Idling Reduction Network News April 2015 National Idling Reduction Network News June 4, 2015 - 12:19pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is the

  5. August 2014 National Idling Reduction Network News | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    August 2014 National Idling Reduction Network News August 2014 National Idling Reduction Network News October 3, 2014 - 12:11pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Below is

  6. National Network for Manufacturing Innovation: A Preliminary Design |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy National Network for Manufacturing Innovation: A Preliminary Design National Network for Manufacturing Innovation: A Preliminary Design The Federal investment in the National Network for Manufacturing Innovation (NNMI) serves to create an effective manufacturing research infrastructure for U.S. industry and academia to solve industry-relevant problems. The NNMI will consist of linked Institutes for Manufacturing Innovation (IMIs) with common goals, but unique

  7. National Network for Manufacturing Innovation: A Preliminary Design |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Network for Manufacturing Innovation: A Preliminary Design National Network for Manufacturing Innovation: A Preliminary Design The Federal investment in the National Network for Manufacturing Innovation (NNMI) serves to create an effective manufacturing research infrastructure for U.S. industry and academia to solve industry-relevant problems. The NNMI will consist of linked Institutes for Manufacturing Innovation (IMIs) with common goals, but unique concentrations. In

  8. ARM: Baseline Solar Radiation Network (BSRN): solar irradiances (Dataset) |

    Office of Scientific and Technical Information (OSTI)

    Data Explorer Baseline Solar Radiation Network (BSRN): solar irradiances Title: ARM: Baseline Solar Radiation Network (BSRN): solar irradiances Baseline Solar Radiation Network (BSRN): solar irradiances Authors: Mary Anderberg ; Ibrahim Reda ; Afshin Andreas ; Mark Kutchenreiter ; Aron Habte ; Mike Dooraghi Publication Date: 1993-07-01 OSTI Identifier: 1025163 DOE Contract Number: DE-AC05-00OR22725 Resource Type: Dataset Data Type: Numeric Data Research Org: Atmospheric Radiation Measurement

  9. September 2016 National Idling Reduction Network News | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy September 2016 National Idling Reduction Network News September 2016 National Idling Reduction Network News November 7, 2016 - 3:13pm Addthis The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United

  10. Vehicle Technologies Office: National Idling Reduction Network News

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Archives | Department of Energy Archives Vehicle Technologies Office: National Idling Reduction Network News Archives The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to heavy-vehicle idling for the entire United States. Read the latest issue

  11. Vehicle Technologies Office: National Idling Reduction Network News |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Vehicle Technologies Office: National Idling Reduction Network News The National Idling Reduction Network brings together trucking and transit companies; railroads; ports; equipment manufacturers; Federal, state, and local government agencies (including regulators); nonprofit organizations; and national research laboratories to identify consistent, workable solutions to vehicle idling for the entire United States. Below is the most recent issue; the archives are

  12. Reconfigureable network node

    DOEpatents

    Vanderveen, Keith B.; Talbot, Edward B.; Mayer, Laurence E.

    2008-04-08

    Nodes in a network having a plurality of nodes establish communication links with other nodes using available transmission media, as the ability to establish such links becomes available and desirable. The nodes predict when existing communications links will fail, become overloaded or otherwise degrade network effectiveness and act to establish substitute or additional links before the node's ability to communicate with the other nodes on the network is adversely affected. A node stores network topology information and programmed link establishment rules and criteria. The node evaluates characteristics that predict existing links with other nodes becoming unavailable or degraded. The node then determines whether it can form a communication link with a substitute node, in order to maintain connectivity with the network. When changing its communication links, a node broadcasts that information to the network. Other nodes update their stored topology information and consider the updated topology when establishing new communications links for themselves.

  13. Seven Deadliest Network Attacks

    SciTech Connect

    Prowell, Stacy J; Borkin, Michael; Kraus, Robert

    2010-05-01

    Do you need to keep up with the latest hacks, attacks, and exploits effecting networks? Then you need "Seven Deadliest Network Attacks". This book pinpoints the most dangerous hacks and exploits specific to networks, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Attacks detailed in this book include: Denial of Service; War Dialing; Penetration 'Testing'; Protocol Tunneling; Spanning Tree Attacks; Man-in-the-Middle; and, Password Replay. Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally. Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how. Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable.

  14. National Highway Planning Network

    Energy Science and Technology Software Center

    1992-02-02

    NHPN, the National Highway Planning Network, is a database of major highways in the continental United States that is used for national-level analyses of highway transportation issues that require use of a network, such as studies of highway performance, network design, social and environmental impacts of transportation, vehicle routing and scheduling, and mapping. The network is based on a set of roadways digitized by the U. S. Geological Survey (USGS) from the 1980 National Atlasmore » and has been enhanced with additional roads, attribute detail, and topological error corrections to produce a true analytic network. All data have been derived from or checked against information obtained from state and Federal governmental agencies. Two files comprise this network: one describing links and the other nodes. This release, NHPN1.0, contains 44,960 links and 28,512 nodes representing approximately 380,000 miles of roadway.« less

  15. Rooftop Unit Network Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    part load performance - equipment maintenance * RTUs cannot easily interact with the ... Diagnostics - RTU Network Platform * Smart Monitoring and Diagnostics - Cloud * Autonomous ...

  16. battery electrode percolating network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    battery electrode percolating network - Sandia Energy Energy Search Icon Sandia Home ... Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel ...

  17. Multilevel method for modeling large-scale networks.

    SciTech Connect

    Safro, I. M.

    2012-02-24

    researchers. We propose to develop multilevel methods to model complex networks. The key point of the proposed strategy is that it will help to preserve part of the unknown structural attributes by guaranteeing the similar behavior of the real and artificial model on different scales.

  18. Social Network and Communications Institutional Change Principle

    Energy.gov [DOE]

    Federal agencies can use social networks and communications to spark and reinforce behavior change for meeting sustainability goals. This principle is based on research findings showing that people and institutions often are strongly influenced by the behaviors and expectations of others.

  19. AERONET: The Aerosol Robotic Network

    DOE Data Explorer

    The AERONET (AErosol RObotic NETwork) program is a federation of ground-based remote sensing aerosol networks established by NASA and LOA-PHOTONS (CNRS) and is greatly expanded by collaborators from national agencies, institutes, universities, individual scientists, and partners. The program provides a long-term, continuous and readily accessible public domain database of aerosol optical, mircrophysical and radiative properties for aerosol research and characterization, validation of satellite retrievals, and synergism with other databases. The network imposes standardization of instruments, calibration, processing and distribution. AERONET collaboration provides globally distributed observations of spectral aerosol optical Depth (AOD), inversion products, and precipitable water in diverse aerosol regimes. Aerosol optical depth data are computed for three data quality levels: Level 1.0 (unscreened), Level 1.5 (cloud-screened), and Level 2.0 (cloud screened and quality-assured). Inversions, precipitable water, and other AOD-dependent products are derived from these levels and may implement additional quality checks.[Copied from http://aeronet.gsfc.nasa.gov/new_web/system_descriptions.html

  20. Better Buildings Residential Network | Department of Energy

    Energy Saver

    Residential Buildings Better Buildings Residential Network Better Buildings Residential Network Better Buildings Residential Network Explore Latest Peer Exchange Call Summaries ...

  1. New incubator network to help clean-energy entrepreneurs | OpenEI...

    OpenEI (Open Energy Information) [EERE & EIA]

    The Energy Department's National Renewable Energy Laboratory (NREL) and the Electric Power Research Institute (EPRI) have launched the Clean Energy Incubator Network. The...

  2. ESnet supports Sandia and APNIC IPv6 Background Radiation research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sandia and APNIC IPv6 Background Radiation research ESnet is currently supporting the Asia-Pacific Network Information Centre (APNIC) and Sandia National Laboratories in their...

  3. Energy Materials Network News from the Consortia and National Labs |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Energy Materials Network News from the Consortia and National Labs Energy Materials Network News from the Consortia and National Labs March 31, 2016 CALORICOOL LAUNCHES REFRIGERATION TECH RESEARCH WITH FIRST MEETING Ames National Laboratory March 11, 2016 AMES LABORATORY SCIENTISTS JOIN CONSORTIUM TO RESEARCH LIGHTWEIGHT MATERIALS Ames National Laboratory March 2, 2016 ARGONNE AND LOS ALAMOS NATIONAL LABORATORIES TEAM UP TO DEVELOP MORE AFFORDABLE FUEL CELL COMPONENTS

  4. Solar Training Network | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Soft Costs Solar Training Network Solar Training Network Solar Training Network The Solar Training Network addresses a critical need for high-quality, local, accessible training ...

  5. Form:Networking Organization | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Networking Organization Jump to: navigation, search Add a Networking Organization Input your networking organization name below to add to the registry. If your networking...

  6. Solar Training Network | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Training Network Solar Training Network Solar Training Network The Solar Training Network addresses a critical need for high-quality, local, accessible training in solar ...

  7. Transportation Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transportation-research TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Transportation Research Current Research Overview The U.S. Department of Transportation (USDOT) has established its only high-performance computing and engineering analysis research facility at Argonne National Laboratory to provide applications support in key areas of applied research and development for the USDOT community. The Transportation Research and

  8. Collective network routing

    DOEpatents

    Hoenicke, Dirk

    2014-12-02

    Disclosed are a unified method and apparatus to classify, route, and process injected data packets into a network so as to belong to a plurality of logical networks, each implementing a specific flow of data on top of a common physical network. The method allows to locally identify collectives of packets for local processing, such as the computation of the sum, difference, maximum, minimum, or other logical operations among the identified packet collective. Packets are injected together with a class-attribute and an opcode attribute. Network routers, employing the described method, use the packet attributes to look-up the class-specific route information from a local route table, which contains the local incoming and outgoing directions as part of the specifically implemented global data flow of the particular virtual network.

  9. Research Gallery

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Gallery Research Gallery Exhibits in this gallery capture Laboratory's leading-edge research in many areas of science and technology to help solve national problems...

  10. Advance Network Reservation and Provisioning for Science

    SciTech Connect

    Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

    2009-07-10

    We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Submitter: Area of Research: Journal Reference: N/A

  12. Thermal network reduction

    SciTech Connect

    Balcomb, J.D.

    1983-01-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  13. Thermal network reduction

    SciTech Connect

    Balcomb, J.D.

    1983-06-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  14. Networking and Application Strategies

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Networking and Application Strategies Networking and Application Strategies Los Alamos Lab recruits the best minds on the planet and offers job search information and assistance to our dual career spouses or partners. Contact Us dualcareers@lanl.gov You know more people than you think you do Having strong existing connections and building new ones is essential to finding a job-especially for a dual career family that is new to the Los Alamos area. Networking is a proven and effective way to

  15. Energy Materials Network Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    30 th , 2016 2 MGI - Framework New Material Innovations for Clean Energy 2X Faster and 2X Cheaper Predictive Simulation Across Scales Synthesis & Characterization Rapid Screening End Use Performance Process Scalability Process Control Real-time Characterization Reliability Validation Data Management & Informatics Coordinated resource network with a suite of capabilities for advanced materials R&D In Support of the Materials Genome Initiative (MGI) 3 Network Requirements 1. WORLD

  16. Network Requirements Reviews

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reviews Science Engagement Move your data Programs & Workshops Science Requirements Reviews Network Requirements Reviews Documents and Background Materials FAQ for Case Study Authors BER Requirements Review 2015 ASCR Requirements Review 2015 Previous Reviews Requirements Review Reports Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site

  17. The next generation of neural network chips

    SciTech Connect

    Beiu, V.

    1997-08-01

    There have been many national and international neural networks research initiatives: USA (DARPA, NIBS), Canada (IRIS), Japan (HFSP) and Europe (BRAIN, GALA TEA, NERVES, ELENE NERVES 2) -- just to mention a few. Recent developments in the field of neural networks, cognitive science, bioengineering and electrical engineering have made it possible to understand more about the functioning of large ensembles of identical processing elements. There are more research papers than ever proposing solutions and hardware implementations are by no means an exception. Two fields (computing and neuroscience) are interacting in ways nobody could imagine just several years ago, and -- with the advent of new technologies -- researchers are focusing on trying to copy the Brain. Such an exciting confluence may quite shortly lead to revolutionary new computers and it is the aim of this invited session to bring to light some of the challenging research aspects dealing with the hardware realizability of future intelligent chips. Present-day (conventional) technology is (still) mostly digital and, thus, occupies wider areas and consumes much more power than the solutions envisaged. The innovative algorithmic and architectural ideals should represent important breakthroughs, paving the way towards making neural network chips available to the industry at competitive prices, in relatively small packages and consuming a fraction of the power required by equivalent digital solutions.

  18. Chemical Doping Enhances Electronic Transport in Networks of

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Hexabenzocoronenes Assembles in Electrolyte - Joint Center for Energy Storage Research June 12, 2015, Research Highlights Chemical Doping Enhances Electronic Transport in Networks of Hexabenzocoronenes Assembles in Electrolyte (Top) HBCs assemble into nanowires and are chemically oxidized (Bottom Left) Changing UV-vis spectra with temperature indicates assembly (Bottom Right) Increased shuttling current with increased oxidation Scientific Achievement Organic semiconductors provide

  19. High Density Sensor Network Development | The Ames Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    High Density Sensor Network Development

  20. Research Highlights

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Highlights Form Submit a New Research Highlight Sort Highlights Submitter Title Research Area Working Group Submission Date DOE Progress Reports Notable Research Findings for 2001-2006 Office of Science Abstracts Database Research Highlights Summaries Research Highlights Members of ARM's science team are major contributors to radiation and cloud research. ARM investigators publish about 150 refereed journal articles per year, and ARM data are used in many studies published by other scientific

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    a printable PDF Submitter: Schmid, B., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: ARM Climate Research...

  2. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Current Research Projects Joint Los Alamos National LaboratoryUCSD Research Projects Collaborations between Los Alamos National Laboratory and the University of California at San...

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Testing and Comparing the Modified Anomalous Diffraction Approximation Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud DistributionsCharacterizations...

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Fog and Rain in the Amazon For original submission and image(s), see ARM Research Highlights http:www.arm.govsciencehighlights Research Highlight The diurnal and seasonal...

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    to Terrestrial Radiation Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research: General Circulation and Single Column Models...

  6. Better Buildings Network View, April 2015

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Better Buildings Network View News From the Field April 2015 On Earth Day, Discover Solutions in More Than 100 Past Peer Exchange Calls Mark Earth Day by going to a new interactive archive Expand Your Solutions containing 108 Peer Search Exchange Call summaries dating as far back as 2011 that is now available for residential energy efficiency program research and application. Users can sort summaries by call topic, title, and date, Find even more proven practices in the Better Buildings

  7. Energy Materials Network | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Materials Network CaloriCool CaloriCool One of the many tools used by CaloriCool scientists to characterize essential properties of caloric materials is a unique, fully-automated calorimeter. Photo credit: Ames Laboratory Read more ElectroCat ElectroCat The Electrocatalysis Consortium (ElectroCat) is using national lab resources and capabilities such as Argonne's High-Throughput Research facility (pictured) and Los Alamos' ability to design and synthesize catalysts to speed the

  8. Generative model selection using a scalable and size-independent complex network classifier

    SciTech Connect

    Motallebi, Sadegh, E-mail: motallebi@ce.sharif.edu; Aliakbary, Sadegh, E-mail: aliakbary@ce.sharif.edu; Habibi, Jafar, E-mail: jhabibi@sharif.edu [Department of Computer Engineering, Sharif University of Technology, Tehran (Iran, Islamic Republic of)] [Department of Computer Engineering, Sharif University of Technology, Tehran (Iran, Islamic Republic of)

    2013-12-15

    Real networks exhibit nontrivial topological features, such as heavy-tailed degree distribution, high clustering, and small-worldness. Researchers have developed several generative models for synthesizing artificial networks that are structurally similar to real networks. An important research problem is to identify the generative model that best fits to a target network. In this paper, we investigate this problem and our goal is to select the model that is able to generate graphs similar to a given network instance. By the means of generating synthetic networks with seven outstanding generative models, we have utilized machine learning methods to develop a decision tree for model selection. Our proposed method, which is named Generative Model Selection for Complex Networks, outperforms existing methods with respect to accuracy, scalability, and size-independence.

  9. Network topology mapper

    DOEpatents

    Quist, Daniel A.; Gavrilov, Eugene M.; Fisk, Michael E.

    2008-01-15

    A method enables the topology of an acyclic fully propagated network to be discovered. A list of switches that comprise the network is formed and the MAC address cache for each one of the switches is determined. For each pair of switches, from the MAC address caches the remaining switches that see the pair of switches are located. For each pair of switches the remaining switches are determined that see one of the pair of switches on a first port and the second one of the pair of switches on a second port. A list of insiders is formed for every pair of switches. It is determined whether the insider for each pair of switches is a graph edge and adjacent ones of the graph edges are determined. A symmetric adjacency matrix is formed from the graph edges to represent the topology of the data link network.

  10. Self-Configuring Network Monitor

    Energy Science and Technology Software Center

    2004-05-01

    Self-Configuring Network Monitor (SCNM) is a passive monitoring that can collect packet headers from any point in a network path. SCNM uses special activation packets to automatically activate monitors deployed at the layer three ingress and egress routers of the wide-area network, and at critical points within the site networks. Monitoring output data is sent back to the application data source or destination host. No modifications are required to the application or network routing infrastructuremore » in order to activate monitoring of traffic for an application. This ensures that the monitoring operation does not add a burden to the networks administrator.« less

  11. Intelligent Software Agents for Enhancing Sensor Networks Monitoring of

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Changing Conditions - Energy Innovation Portal Energy Analysis Energy Analysis Find More Like This Return to Search Intelligent Software Agents for Enhancing Sensor Networks Monitoring of Changing Conditions Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing SummaryIntelligent software agents developed by ORNL researchers can be used with sensor networks in distributed and centralized computing systems to enhance detection and response by sensors to

  12. Network resilience; A measure of network fault tolerance

    SciTech Connect

    Najjar, W. . Dept. of Computer Science); Gaudoit, J.L. . Dept. of Electrical Engineering)

    1990-02-01

    The failure of a node in a multicomputer system will not only reduce the computational power but also alter the network's topology. Network fault tolerance is a measure of the number of failures the network can sustain before a disconnection occurs. It is expressed traditionally as the network's node degree. In this paper, the authors propose a probabilistic measure of network fault tolerance expressed as the probability f a disconnection. Qualitative evaluation of this measure is presented. As expected, the single-node disconnection probability is the dominant factor irrespective of the topology under consideration. They derive an analytical approximation of the disconnection probability and verify it with Monte Carlo simulation. Based on this model, the measures of network resilience and relative network resilience are proposed as probabilistic measures of network fault tolerance. These are then used to evaluate the effects of the disconnection probability on the reliability of the system.

  13. Network Science: From the Web to Human Diseases

    SciTech Connect

    Barabasi, Albert-Laszlo

    2008-06-09

    Systems as diverse as the world wide web, Internet or the cell are described by highly interconnected networks with amazingly complex topology. Recent studies indicate that the evolution of these complex networks is governed by simple but generic laws, resulting in apparently universal architectural features. I will discuss this amazing order characterizing our interconnected work, and its implications to how we perceive the impact on communications and medicine, as well as touch upon the next challenge of network research, going beyond the structure and quantifying the dynamics of interconnected systems.

  14. Research Mission

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Mission Research Mission NETL's Office of Research & Development is a national resource for fossil energy research and development, with a mission to create and expand the knowledge base that enables the safe, sustainable utilization of our abundant, domestic energy resources. In support of that mission, the onsite research effort: Develops solutions to key barriers to the implementation of emerging energy technologies. Explores transformational new concepts for next generation

  15. Northwest Biodiesel Network | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Biodiesel Network Jump to: navigation, search Logo: Northwest Biodiesel Network Name: Northwest Biodiesel Network Address: 6532 Phinney Ave N Place: Seattle, Washington Zip: 98103...

  16. Sustainable Agriculture Network | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Agriculture Network Jump to: navigation, search Logo: Sustainable Agriculture Network Name: Sustainable Agriculture Network Website: clima.sanstandards.org References: Sustainable...

  17. Clean Economy Network Foundation | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Clean Economy Network Foundation Jump to: navigation, search Logo: Clean Economy Network Foundation Name: Clean Economy Network Foundation Address: 1301 Pennsylvania Ave NW, Suite...

  18. Energy Materials Network Workshop | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Materials Network Workshop Energy Materials Network Workshop The Energy Materials ... Energy Materials Network - Solar Presentation (3.5 MB) More Documents & Publications Call ...

  19. Vehicle Technologies Office: National Idling Reduction Network...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    National Idling Reduction Network News Archives Vehicle Technologies Office: National Idling Reduction Network News Archives The National Idling Reduction Network brings together ...

  20. Benefits of Better Buildings Residential Network Reporting |...

    Energy Saver

    Benefits of Better Buildings Residential Network Reporting Benefits of Better Buildings Residential Network Reporting Better Buildings Residential Network All-Member Peer Exchange ...

  1. Data Network Equipment Energy Use and Savings Potential in Buildings

    SciTech Connect

    Lanzisera, Steven; Nordman, Bruce; Brown, Richard E.

    2010-06-09

    Network connectivity has become nearly ubiquitous, and the energy use of the equipment required for this connectivity is growing. Network equipment consists of devices that primarily switch and route Internet Protocol (IP) packets from a source to a destination, and this category specifically excludes edge devices like PCs, servers and other sources and sinks of IP traffic. This paper presents the results of a study of network equipment energy use and includes case studies of networks in a campus, a medium commercial building, and a typical home. The total energy use of network equipment is the product of the stock of equipment in use, the power of each device, and their usage patterns. This information was gathered from market research reports, broadband market penetration studies, field metering, and interviews with network administrators and service providers. We estimate that network equipment in the USA used 18 TWh, or about 1percent of building electricity, in 2008 and that consumption is expected to grow at roughly 6percent per year to 23 TWh in 2012; world usage in 2008 was 51 TWh. This study shows that office building network switches and residential equipment are the two largest categories of energy use consuming 40percent and 30percent of the total respectively. We estimate potential energy savings for different scenarios using forecasts of equipment stock and energy use, and savings estimates range from 20percent to 50percent based on full market penetration of efficient technologies.

  2. Microsystem process networks

    SciTech Connect

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    2006-10-24

    Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  3. Microsystem process networks

    DOEpatents

    Wegeng, Robert S [Richland, WA; TeGrotenhuis, Ward E [Kennewick, WA; Whyatt, Greg A [West Richland, WA

    2010-01-26

    Various aspects and applications or microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  4. Microsystem process networks

    DOEpatents

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    2007-09-18

    Various aspects and applications of microsystem process networks are described. The design of many types of Microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  5. Transactional Network Platform: Applications

    SciTech Connect

    Katipamula, Srinivas; Lutes, Robert G.; Ngo, Hung; Underhill, Ronald M.

    2013-10-31

    In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energy’s (DOE’s) Building Technologies Office (BTO) designed, prototyped and tested a transactional network platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). Initially, in FY13, the concept demonstrated transactions between packaged rooftop air conditioners and heat pump units (RTUs) and the electric grid using applications or "agents" that reside on the platform, on the equipment, on a local building controller or in the Cloud. The transactional network project is a multi-lab effort with Oakridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory (LBNL) also contributing to the effort. PNNL coordinated the project and also was responsible for the development of the transactional network (TN) platform and three different applications associated with RTUs. This document describes two applications or "agents" in details, and also summarizes the platform. The TN platform details are described in another companion document.

  6. Sandia National Laboratories: Careers: Cybersecurity Research Careers

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Careers Cybersecurity Research Careers Cybersecurity Research Addressing sophisticated cyber threats demands a multidisciplinary team with a unique mindset. Sandia provides challenging career opportunities for those with a passion to tackle the complexities of protecting critical systems Critical infrastructure, military systems, and other strategically important national security systems are becoming increasingly dependent on vulnerable networked computer systems. Protecting these systems

  7. ESnet supports Sandia and APNIC IPv6 Background Radiation research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    supports Sandia and APNIC IPv6 Background Radiation research Engineering Services The Network OSCARS Fasterdata IPv6 Network IPv6 Implementation Checklist ESnet IPv6 Mirror Servers ESnet IPv6 History ESnet supports Sandia and APNIC IPv6 Background Radiation research Network Performance Tools The ESnet Engineering Team Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net

  8. Software Defined Networking (SDN) Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Software Defined Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT) approaches to network administration and packet delivery are not always appropriate for electric industry applications. The nondeterministic latency and configuration complexity make network design difficult for the deterministic, static control systems of the energy sector. In the electric industry, it is

  9. Complex growing networks with intrinsic vertex fitness

    SciTech Connect

    Bedogne, C.; Rodgers, G. J.

    2006-10-15

    One of the major questions in complex network research is to identify the range of mechanisms by which a complex network can self organize into a scale-free state. In this paper we investigate the interplay between a fitness linking mechanism and both random and preferential attachment. In our models, each vertex is assigned a fitness x, drawn from a probability distribution {rho}(x). In Model A, at each time step a vertex is added and joined to an existing vertex, selected at random, with probability p and an edge is introduced between vertices with fitnesses x and y, with a rate f(x,y), with probability 1-p. Model B differs from Model A in that, with probability p, edges are added with preferential attachment rather than randomly. The analysis of Model A shows that, for every fixed fitness x, the network's degree distribution decays exponentially. In Model B we recover instead a power-law degree distribution whose exponent depends only on p, and we show how this result can be generalized. The properties of a number of particular networks are examined.

  10. Multiple network interface core apparatus and method

    DOEpatents

    Underwood, Keith D.; Hemmert, Karl Scott

    2011-04-26

    A network interface controller and network interface control method comprising providing a single integrated circuit as a network interface controller and employing a plurality of network interface cores on the single integrated circuit.

  11. Research Areas

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Areas Our Vision National User Facilities Research Areas In Focus Global Solutions ⇒ Navigate Section Our Vision National User Facilities Research Areas In Focus Global Solutions Biosciences The Biosciences Area forges multidisciplinary teams to solve national challenges in energy, environment and health issues; and to advance the engineering of biological systems for sustainable manufacturing. Biosciences Area research is coordinated through three divisions and is enabled by Berkeley

  12. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    LaboratoryNational Security Education Center Menu NSEC Educational Programs Los Alamos Dynamics Summer School Science of Signatures Advanced Studies Institute Judicial Science School SHM Data Sets and Software Research Projects Current Projects Past Projects Publications NSEC » Engineering Institute » Research Projects » Joint Los Alamos National Laboratory/UCSD research projects Past Research Projects Previous collaborations between Los Alamos National Laboratory and the University of

  13. Research Library

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Guides Video Tutorials Mobile Resources Alerts Bibliographic Management Scholarly Communication & Open Access Copyright Open Access ORCID Primo LANL Research Library: delivering essential knowledge services for national security sciences since 1947 About the Research Library Mission We deliver agile, responsive knowledge services, connecting people with information, technology and resources. Vision Essential knowledge services for national security sciences. The Research Library provides

  14. Methods Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Methods Research Methods being developed by MANTISSA Researchers Celeste: Bayesian modeling for astronomical images Randomized Linear Algebra for BioImaging Large-Scale PCA for Climate Efficient Graph Analytics for Genomics Unsupervised Learning for Neuroscience Deep Learning for Object Recognition Deep Learning for Daya Bay Unsupervised Learning in Neuroscience Last edited: 2016-11-01 15:21:22

  15. Better Buildings Network View | January 2015

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  16. Instructions for Using Virtual Private Network (VPN)

    Energy.gov [DOE]

    Virtual Private Network (VPN) provides access to network drives and is recommended for use only from a EITS provided laptop.

  17. Better Buildings Network View | November 2015

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  18. Renewable Energy Nongovernmental Organization Network (RENOVE...

    OpenEI (Open Energy Information) [EERE & EIA]

    Nongovernmental Organization Network (RENOVE) Jump to: navigation, search Name: Renewable Energy Nongovernmental Organization Network (RENOVE) Place: Brasilia, Brazil Phone Number:...

  19. Better Buildings Network View | October 2014

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  20. Better Buildings Network View | April 2015

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  1. Better Buildings Network View | March 2015

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  2. Better Buildings Network View | February 2015

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  3. Better Buildings Network View | December 2014

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  4. Better Buildings Network View | June 2014

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  5. Better Buildings Network View | May 2015

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  6. Better Buildings Network View | June 2015

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  7. Better Buildings Network View | October 2015

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  8. Better Buildings Network View | January 2016

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  9. Better Buildings Network View | February 2016

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  10. Better Buildings Network View | January 2014

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  11. Better Buildings Network View | May 2014

    Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  12. Postdoctoral Research Awards Annual Research Meeting: Joseph...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch Postdoctoral Research Awards Annual Research Meeting: Joseph Mondloch poster presentation. ...

  13. A prototype implementation of a network-level intrusion detection system. Technical report number CS91-11

    SciTech Connect

    Heady, R.; Luger, G.F.; Maccabe, A.B.; Servilla, M.; Sturtevant, J.

    1991-05-15

    This paper presents the implementation of a prototype network level intrusion detection system. The prototype system monitors base level information in network packets (source, destination, packet size, time, and network protocol), learning the normal patterns and announcing anomalies as they occur. The goal of this research is to determine the applicability of current intrusion detection technology to the detection of network level intrusions. In particular, the authors are investigating the possibility of using this technology to detect and react to worm programs.

  14. Modular sensor network node

    DOEpatents

    Davis, Jesse Harper Zehring; Stark, Jr., Douglas Paul; Kershaw, Christopher Patrick; Kyker, Ronald Dean

    2008-06-10

    A distributed wireless sensor network node is disclosed. The wireless sensor network node includes a plurality of sensor modules coupled to a system bus and configured to sense a parameter. The parameter may be an object, an event or any other parameter. The node collects data representative of the parameter. The node also includes a communication module coupled to the system bus and configured to allow the node to communicate with other nodes. The node also includes a processing module coupled to the system bus and adapted to receive the data from the sensor module and operable to analyze the data. The node also includes a power module connected to the system bus and operable to generate a regulated voltage.

  15. Bicriteria network design problems

    SciTech Connect

    Marathe, M.V.; Ravi, R.; Sundaram, R.; Ravi, S.S.; Rosenkrantz, D.J.; Hunt, H.B. III

    1997-11-20

    The authors study a general class of bicriteria network design problems. A generic problem in this class is as follows: Given an undirected graph and two minimization objectives (under different cost functions), with a budget specified on the first, find a subgraph from a given subgraph class that minimizes the second objective subject to the budget on the first. They consider three different criteria -- the total edge cost, the diameter and the maximum degree of the network. Here, they present the first polynomial-time approximation algorithms for a large class of bicriteria network design problems for the above mentioned criteria. The following general types of results are presented. First, they develop a framework for bicriteria problems and their approximations. Second, when the two criteria are the same they present a black box parametric search technique. This black box takes in as input an (approximation) algorithm for the criterion situation and generates an approximation algorithm for the bicriteria case with only a constant factor loss in the performance guarantee. Third, when the two criteria are the diameter and the total edge costs they use a cluster based approach to devise approximation algorithms. The solutions violate both the criteria by a logarithmic factor. Finally, for the class of treewidth-bounded graphs, they provide pseudopolynomial-time algorithms for a number of bicriteria problems using dynamic programming. The authors show how these pseudopolynomial-time algorithms can be converted to fully polynomial-time approximation schemes using a scaling technique.

  16. DISCRETE EVENT SIMULATION OF OPTICAL SWITCH MATRIX PERFORMANCE IN COMPUTER NETWORKS

    SciTech Connect

    Imam, Neena; Poole, Stephen W

    2013-01-01

    In this paper, we present application of a Discrete Event Simulator (DES) for performance modeling of optical switching devices in computer networks. Network simulators are valuable tools in situations where one cannot investigate the system directly. This situation may arise if the system under study does not exist yet or the cost of studying the system directly is prohibitive. Most available network simulators are based on the paradigm of discrete-event-based simulation. As computer networks become increasingly larger and more complex, sophisticated DES tool chains have become available for both commercial and academic research. Some well-known simulators are NS2, NS3, OPNET, and OMNEST. For this research, we have applied OMNEST for the purpose of simulating multi-wavelength performance of optical switch matrices in computer interconnection networks. Our results suggest that the application of DES to computer interconnection networks provides valuable insight in device performance and aids in topology and system optimization.

  17. SULI Areas of Research | The Ames Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Areas of Research Summer 2017 Topics of research for undergrad interns have been numerous and diverse. Participating students must write abstracts detailing the purpose, methods, and results of their work. Research projects for Summer 2017 include the following (additional projects coming): Polymer-like Nanowires (Ludovico Cademartiri) Understanding the Social Network of Plants (Ludovico Cademartiri) Nanomaterials by Design (Ludovico Cademartiri) Design and synthesis Intermetallic Catalysts for

  18. High-speed and high-fidelity system and method for collecting network traffic

    DOEpatents

    Weigle, Eric H.

    2010-08-24

    A system is provided for the high-speed and high-fidelity collection of network traffic. The system can collect traffic at gigabit-per-second (Gbps) speeds, scale to terabit-per-second (Tbps) speeds, and support additional functions such as real-time network intrusion detection. The present system uses a dedicated operating system for traffic collection to maximize efficiency, scalability, and performance. A scalable infrastructure and apparatus for the present system is provided by splitting the work performed on one host onto multiple hosts. The present system simultaneously addresses the issues of scalability, performance, cost, and adaptability with respect to network monitoring, collection, and other network tasks. In addition to high-speed and high-fidelity network collection, the present system provides a flexible infrastructure to perform virtually any function at high speeds such as real-time network intrusion detection and wide-area network emulation for research purposes.

  19. NREL: Hydrogen and Fuel Cells Research - NREL- and Sandia-Developed...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    to dramatically reduce greenhouse gas emissions, cut petroleum use, and achieve ... a hydrogen fueling network of 100 retail stations in the Los Angeles region, researchers ...

  20. C3E also includes a network of leaders from the public, private, non-profit

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    C3E also includes a network of leaders from the public, private, non-profit, and academic sectors who support advocacy, research, scholarships, hands-on training, funding, and networking opportunities to prepare and inspire young women to enter and thrive in STEM fields. C3E Network participants have pledged many types of commitments, from highlighting female role models to creating hands-on activities for young girls. Ongoing activities include: * Filming and featuring women in clean energy

  1. COMPLEX NETWORKS IN CLIMATE SCIENCE: PROGRESS, OPPORTUNITIES AND CHALLENGES

    SciTech Connect

    Steinhaeuser, Karsten J K; Chawla, Nitesh; Ganguly, Auroop R

    2010-01-01

    Networks have been used to describe and model a wide range of complex systems, both natural as well as man-made. One particularly interesting application in the earth sciences is the use of complex networks to represent and study the global climate system. In this paper, we motivate this general approach, explain the basic methodology, report on the state of the art (including our contributions), and outline open questions and opportunities for future research. Datasets and systems that can be represented as interaction networks (or graphs), broadly defined as any collection of interrelated objects or entities, have received considerable attention both from a theoretical viewpoint as well as various application domains; examples include the analysis of social networks, chemical interactions between proteins, the behavior of financial markets, and many others. Recently, the study of complex networks - that is, networks which exhibit non-trivial topological properties - has permeated numerous fields and disciplines spanning the physical, social, and computational sciences. So why do networks enjoy such broad appeal? Briefly, it is their ability to serve at once as a data representation, as an analysis framework, and as a visualization tool. The analytic capabilities in particular are quite powerful, as networks can uncover structure and patterns at multiple scales, ranging from local properties to global phenomena, and thus help better understand the characteristics of complex systems. We focus on one particular application of networks in the earth sciences, namely, the construction and analysis of climate networks. Identifying and analyzing patterns in global climate is an important task of growing scientific, social, and political interest, with the goal of deepening our understanding of the complex processes underlying observed phenomena. To this end, we make the case that complex networks offer a compelling perspective for capturing the dynamics of the climate

  2. NETL Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Research One of the U.S. Department of Energy's (DOE) three strategic goals contained in the DOE's 2014-2018 Strategic Plan is to advance foundational science, innovate energy technologies, and inform data driven policies that enhance US economic growth and job creation, energy security, and environmental quality. DOE's National Energy Technology Laboratory contributes to this strategic goal through cutting-edge research and development focused on efficient energy use and clean energy

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Climatology of Aerosol Optical Depth in North-Central Oklahoma: 1992-2008 Download a printable PDF Submitter: Michalsky, J. J., Cooperative Institute for Research in Environmental Sciences Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Michalsky J, F Denn, C Flynn, G Hodges, P Kiedron, A Koontz, J Schlemmer, and SE Schwartz. 2010. "Climatology of aerosol optical depth in north-central Oklahoma: 1992-2008." Journal of Geophysical Research -

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    MAGIC Ship-based Observations Help Validate Satellite Microwave Liquid Water Path PI Contact: Painemal, D., NASA LaRC /SSAI Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Painemal D, T Greenwald, M Cadeddu, and P Minnis. 2016. "First extended validation of satellite microwave liquid water path with ship-based observations of marine low clouds." Geophysical Research Letters, 43(12),

  5. Researchers - JCAP

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Researchers Who We Are JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Recent Science Technology Transfer Awards & Honors Senior Management Scientific Leadership Researchers Governance & Advisory Boards Operations & Administration Who we are Overview JCAP Mission JCAP At A Glance Fact Sheets Organizational Chart Our Achievements Recent Science Technology Transfer Awards & Honors Our People Senior Management Scientific Leadership Researchers Governance &

  6. Research Approach

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Approach Research Approach NETL's onsite research approach is based on integrating simulation tools with targeted experimental validation at real-life conditions in the lab and in the field. Simulation tools increase confidence in designs, thereby reducing the risk associated with incorporating multiple innovative technologies, realizing scale-up, and predicting the behavior and properties of real materials. The scientific underpinnings encoded into these models also ensure that

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Cloud Experiment Submitter: McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Properties Journal...

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and GCM Simulations Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Rasch, P., Pacific Northwest National Laboratory Ivanova, D., Embry-Riddle...

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Download a printable PDF Submitter: Alexandrov, M. D., Columbia University Area of Research: Radiation Processes Working Group(s): Aerosol Journal Reference: Applied Optics,...

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    National Laboratory Ronfeld, D., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Properties Journal Reference: NA The...

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Using Doppler Radar to Characterize Cloud Parameters Download a printable PDF Submitter: Kogan, Y., University of Oklahoma - CIMMS Area of Research: Cloud Distributions...

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Mlawer, E. J., Atmospheric & Environmental Research, Inc. Turner, D. D., National Oceanic ... Journal Reference: Cady-Pereira, K, M Shephard, E Mlawer, D Turner, S Clough, and T ...

  13. Research | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    the science behind them-for a future powered by clean energy. Subscribe Stay connected with the latest news and research breakthroughs from NREL. Sign up now Photo...

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Liljegren, J. C., Argonne National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties, Radiative Processes...

  15. Research Proposals

    Energy.gov [DOE]

    The EERE Postdoctoral Research Awards are intended to be an avenue for significant energy efficiency and renewable energy innovation. To enable the participants' creativity as they conduct their...

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Long-Term Impacts of Aerosols on the Vertical Development of Clouds and Precipitation Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research:...

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Broadband Albedo Observations in the Southern Great Plains Submitter: Lamb, P. J., University of Oklahoma Area of Research: Aerosol Properties Working Group(s): Aerosol Journal...

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    over the MJO Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud DistributionsCharacterizations...

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Get Organized Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: Cloud Processes Working Group(s): Cloud...

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Using ARM Cloud Data to Evaluate the Effect of a Land Surface on Clouds Download a printable PDF Submitter: GSFC, N., NASA GSFC Area of Research: Cloud Distributions...

  1. Research Library

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    For more resources see the Reports page. First try: IHS Standards Expert login more ... Library Catalog Los Alamos Authors Los Alamos Research Online Review & Approval System ...

  2. UNIRIB: Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of the University Radioactive Ion Beam (UNIRIB) consortium is to perform nuclear physics research, and provide training and education. UNIRIB member universities have gained...

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Life Cycle Journal Reference: Zhao Y, GG Mace, and JM Comstock. 2011. "The occurrence of particle ...

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and ARM Data Submitter: Somerville, R. C., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column ModelsParameterizations Working Group(s):...

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    PDF Submitter: McComiskey, A. C., National Oceanic and Atmospheric Administration Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Aerosol Life Cycle,...

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Fog and Rain in the Amazon Download a printable PDF Submitter: Gentine, P., Columbia University Sobel, A., Columbia University Area of Research: Cloud-Aerosol-Precipitation...

  7. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Past Research Projects Composite-to-Steel Joint Integrity Monitoring and Assessment Collaboration between Los Alamos National Laboratory and the University of California at San ...

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Power in the Vertical: Using Wind Profiler Data to Study Precipitation Download a printable PDF Submitter: Kollias, P., Stony Brook University Area of Research: Radiation Processes ...

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    in the Doppler spectra. Over the North Slope of Alaska, researchers used cloud radar Doppler velocity spectra, lidar backscattering coefficients and depolarization ratios, and...

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    to Lose Download a printable PDF Submitter: Laskin, A., Pacific Northwest National Laboratory Fast, J. ., Pacific Northwest National Laboratory Area of Research: Aerosol...

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Nucleation Events Download a printable PDF Submitter: McMurry, P. ., University of Minnesota Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal ...

  12. Research Areas

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    in diverse research areas such as cell biology, lithography, infrared microscopy, radiology, and x-ray tomography. Time-Resolved These techniques exploit the pulsed nature of...

  13. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM Sites Enable Assessment of Cluster Analysis for Identifying Cloud Regimes Submitter: Jakob, C., Monash University Area of Research: Cloud DistributionsCharacterizations...

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Chamber Studies Uncover New Pathways for Atmospheric Aerosol Growth PI Contact: Smith, J., University of California, Irvine Area of Research: Aerosol Processes Working Group(s): ...

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Northwest National Laboratory, researchers found that a significant increase in the amount of light scattered by the clouds was caused by the amount of pollution in the air. ...

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Differences Between Tropical and Trade-Wind Shallow Cumuli Download a printable PDF Submitter: Ghate, V. P., Argonne National Laboratory Area of Research: Vertical Velocity Working...

  17. High-Speed Network Enables Industrial Internet | GE Global Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    GE software scientists and developers to spur high-speed connectivity and access to really big data Disruptive innovation demonstrates industry success in creating viable test beds ...

  18. The Ad Lucem Research Network | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    This document lists the attendees of the DOE Ad Lucem Workshop on February 17, 2012. adlucem2012attendees.pdf (437.05 KB) More Documents & Publications Big Data Projects on Solar ...

  19. Howard University Researchers Represented in the E-print Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ww.biology.howard.edu FacultyFacultyBiosEckberg.htm Hindman, Neil - Department of Mathematics, Howard University http:mysite.verizon.netnhindman Sitaraman, Sankar -...

  20. national-lab-research-network | netl.doe.gov

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4,1996 http://www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t P r i c e H e n r y H u b S p o t N o t e : T H e H e n r y H u b s p o t p r i c e i s f r o m t h e G A S D A I L Y a n d i s t h e m i d p o i n t o f t h e i r h i g h a n d l o w p r i c e f o r a d a y . J U L Y - 9 6 . 0 0 A U G - 9 6 S E P T - 9 6 O C T - 9 6 N O V - 9 6 A v e r

  1. A State-Wide Research Network for Alzheimer's Disease (Technical...

    Office of Scientific and Technical Information (OSTI)

    Contributing Orgs: MUSC & Ralph H. Johnson VAMC, Charleston, SC Senior Primary Care, Columbia, SC Comprehensive Neurological Services, Florence, SC Hospital Medicine Consultants, ...

  2. The Evolution of Research and Education Networks and their Essential...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... The goal is to ensure that they have robust communication with their science collaborators ... One 10 Gbs waveoptical circuit is used for the IP core and all of the rest of the waves...

  3. The international RESPO network

    SciTech Connect

    1997-12-01

    Winrock International, with sponsorship from the Center for Environment of the U.S. Agency for International Development (USAID) and the U.S. Export Council for Renewable Energy (US/ECRE), is building a global network of non-governmental organizations to help catalyze the use of renewable energy technologies for rural energy supply in developing countries. Known as the Renewable Energy Project Support Offices (REPSOs), these in-country facilities are managed by local institutions in coordination with Winrock. REPSOs provide an array of technical and financial support services to help developers identify and evaluate opportunities for renewable energy projects.

  4. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email Jerry Camuso SSRL Computer and Networking Group (650) 926-2994 | email Networking Support The Networking group provides connectivity and communications services for SSRL. The services provided by the Networking Support Group include: Local Area Network support for cable and wireless connectivity. Installation and maintenance

  5. HEP Science Network Requirements--Final Report

    SciTech Connect

    Bakken, Jon; Barczyk, Artur; Blatecky, Alan; Boehnlein, Amber; Carlson, Rich; Chekanov, Sergei; Cotter, Steve; Cottrell, Les; Crawford, Glen; Crawford, Matt; Dart, Eli; Dattoria, Vince; Ernst, Michael; Fisk, Ian; Gardner, Rob; Johnston, Bill; Kent, Steve; Lammel, Stephan; Loken, Stewart; Metzger, Joe; Mount, Richard; Ndousse-Fetter, Thomas; Newman, Harvey; Schopf, Jennifer; Sekine, Yukiko; Stone, Alan; Tierney, Brian; Tull, Craig; Zurawski, Jason

    2010-04-27

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2009 ESnet and the Office of High Energy Physics (HEP), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by HEP. The International HEP community has been a leader in data intensive science from the beginning. HEP data sets have historically been the largest of all scientific data sets, and the communty of interest the most distributed. The HEP community was also the first to embrace Grid technologies. The requirements identified at the workshop are summarized below, and described in more detail in the case studies and the Findings section: (1) There will be more LHC Tier-3 sites than orginally thought, and likely more Tier-2 to Tier-2 traffic than was envisioned. It it not yet known what the impact of this will be on ESnet, but we will need to keep an eye on this traffic. (2) The LHC Tier-1 sites (BNL and FNAL) predict the need for 40-50 Gbps of data movement capacity in 2-5 years, and 100-200 Gbps in 5-10 years for HEP program related traffic. Other key HEP sites include LHC Tier-2 and Tier-3 sites, many of which are located at universities. To support the LHC, ESnet must continue its collaborations with university and international networks. (3) While in all cases the deployed 'raw' network bandwidth must exceed the user requirements in order to meet the data transfer and reliability requirements, network engineering for trans-Atlantic connectivity

  6. Research | Photosynthetic Antenna Research Center

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Research Mission Statement The objective of PARC is to understand the basic scientific principles that underpin the efficient functioning of natural photosynthetic antenna systems as a basis for design of biohybrid and bioinspired architectures for next-generation systems for solar-energy conversion. Scientific Themes Through basic scientific research, PARC seeks to understand the principles of light harvesting and energy funneling as applied to The PARC Vision Graphic three

  7. United States National Seismographic Network

    SciTech Connect

    Buland, R.

    1993-09-01

    The concept of a United States National Seismograph Network (USNSN) dates back nearly 30 years. The idea was revived several times over the decades. but never funded. For, example, a national network was proposed and discussed at great length in the so called Bolt Report (U. S. Earthquake Observatories: Recommendations for a New National Network, National Academy Press, Washington, D.C., 1980, 122 pp). From the beginning, a national network was viewed as augmenting and complementing the relatively dense, predominantly short-period vertical coverage of selected areas provided by the Regional Seismograph Networks (RSN`s) with a sparse, well-distributed network of three-component, observatory quality, permanent stations. The opportunity finally to begin developing a national network arose in 1986 with discussions between the US Geological Survey (USGS) and the Nuclear Regulatory Commission (NRC). Under the agreement signed in 1987, the NRC has provided $5 M in new funding for capital equipment (over the period 1987-1992) and the USGS has provided personnel and facilities to develop. deploy, and operate the network. Because the NRC funding was earmarked for the eastern United States, new USNSN station deployments are mostly east of 105{degree}W longitude while the network in the western United States is mostly made up of cooperating stations (stations meeting USNSN design goals, but deployed and operated by other institutions which provide a logical extension to the USNSN).

  8. Regional Networks for Energy Efficiency

    Energy.gov [DOE]

    Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and discussion summary, December 6, 2012.

  9. Network interdiction with budget constraints

    SciTech Connect

    Santhi, Nankakishore; Pan, Feng

    2009-01-01

    Several scenarios exist in the modern interconnected world which call for efficient network interdiction algorithms. Applications are varied, including computer network security, prevention of spreading of Internet worms, policing international smuggling networks, controlling spread of diseases and optimizing the operation of large public energy grids. In this paper we consider some natural network optimization questions related to the budget constrained interdiction problem over general graphs. Many of these questions turn out to be computationally hard to tackle. We present a particularly interesting practical form of the interdiction question which we show to be computationally tractable. A polynomial time algorithm is then presented for this problem.

  10. High Performance Network Monitoring

    SciTech Connect

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  11. Vector Network Analysis

    Energy Science and Technology Software Center

    1997-10-20

    Vector network analyzers are a convenient way to measure scattering parameters of a variety of microwave devices. However, these instruments, unlike oscilloscopes for example, require a relatively high degree of user knowledge and expertise. Due to the complexity of the instrument and of the calibration process, there are many ways in which an incorrect measurement may be produced. The Microwave Project, which is part of Sandia National Laboratories Primary Standards Laboratory, routinely uses check standardsmore » to verify that the network analyzer is operating properly. In the past, these measurements were recorded manually and, sometimes, interpretation of the results was problematic. To aid our measurement assurance process, a software program was developed to automatically measure a check standard and compare the new measurements with an historical database of measurements of the same device. The program acquires new measurement data from selected check standards, plots the new data against the mean and standard deviation of prior data for the same check standard, and updates the database files for the check standard. The program is entirely menu-driven requiring little additional work by the user.« less

  12. Neural network guided search control in partial order planning

    SciTech Connect

    Zimmerman, T.

    1996-12-31

    The development of efficient search control methods is an active research topic in the field of planning. Investigation of a planning program integrated with a neural network (NN) that assists in search control is underway, and has produced promising preliminary results.

  13. Pathways, Networks and Systems Medicine Conferences

    SciTech Connect

    Nadeau, Joseph H.

    2013-11-25

    The 6th Pathways, Networks and Systems Medicine Conference was held at the Minoa Palace Conference Center, Chania, Crete, Greece (16-21 June 2008). The Organizing Committee was composed of Joe Nadeau (CWRU, Cleveland), Rudi Balling (German Research Centre, Brauschweig), David Galas (Institute for Systems Biology, Seattle), Lee Hood (Institute for Systems Biology, Seattle), Diane Isonaka (Seattle), Fotis Kafatos (Imperial College, London), John Lambris (Univ. Pennsylvania, Philadelphia),Harris Lewin (Univ. of Indiana, Urbana-Champaign), Edison Liu (Genome Institute of Singapore, Singapore), and Shankar Subramaniam (Univ. California, San Diego). A total of 101 individuals from 21 countries participated in the conference: USA (48), Canada (5), France (5), Austria (4), Germany (3), Italy (3), UK (3), Greece (2), New Zealand (2), Singapore (2), Argentina (1), Australia (1), Cuba (1), Denmark (1), Japan (1), Mexico (1), Netherlands (1), Spain (1), Sweden (1), Switzerland (1). With respect to speakers, 29 were established faculty members and 13 were graduate students or postdoctoral fellows. With respect to gender representation, among speakers, 13 were female and 28 were male, and among all participants 43 were female and 58 were male. Program these included the following topics: Cancer Pathways and Networks (Day 1), Metabolic Disease Networks (Day 2), Day 3 ? Organs, Pathways and Stem Cells (Day 3), and Day 4 ? Inflammation, Immunity, Microbes and the Environment (Day 4). Proceedings of the Conference were not published.

  14. USA National Phenology Network: Plant and Animal Life-Cycle Data...

    Office of Scientific and Technical Information (OSTI)

    The network harnesses the power of people and the Internet to collect and share information, providing researchers with far more data than they could collect alone.Extracts copied ...

  15. Bioprocessing research

    SciTech Connect

    Kaufman, E.N.

    1996-06-01

    This section describes research and development activities performed for the Fossil Energy Bioprocessing Research Program. This program includes fundamental research for coal applications that investigates advanced reactor design for conversion of coal and coal liquids, the use of enzymes in pure organic media, and development of biological processes for the conversion of coal residuum. In addition, the program includes studies on advanced bioreactor systems for the treatment of gaseous substrates and the conversion to liquid fuels, removal of heteroatoms from heavy oils, renewable hydrogen production, remediation of oil containing soils. The program also includes natural gas and oil technology partnership support.

  16. "Dark Fiber" Enables Research to Create Tomorrow's Internet ...

    Office of Science (SC)

    So far, about 20 groups have taken advantage of ESnet's 100 Gbps testbed to test ... For the networking research community, there is no other test environment like this that ...

  17. Network Upgrade for the SLC: PEP II Network

    SciTech Connect

    Crane, M.; Call, M.; Clark, S.; Coffman, F.; Himel, T.; Lahey, T.; Miller, E.; Sass, R.; /SLAC

    2011-09-09

    The PEP-II control system required a new network to support the system functions. This network, called CTLnet, is an FDDI/Ethernet based network using only TCP/IP protocols. An upgrade of the SLC Control System micro communications to use TCP/IP and SLCNET would allow all PEP-II control system nodes to use TCP/IP. CTLnet is private and separate from the SLAC public network. Access to nodes and control system functions is provided by multi-homed application servers with connections to both the private CTLnet and the SLAC public network. Monitoring and diagnostics are provided using a dedicated system. Future plans and current status information is included.

  18. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    To Rain or Not to Rain...Aerosols May Be the Answer Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud-Aerosol-Precipitation Interactions...

  20. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The primary objective of this research effort is to develop and prototype a novel unmanned ground vehicle (UGV), as illustrated in the figure, that could be used for unmanned ...

  1. Caterpillar Research

    Energy.gov [DOE]

    Presentation given at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT).

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Modeling Journal Reference: Naud, C, A Del Genio, GG Mace, S Benson, EE Clothiaux, and P Kollias. ...

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Area of Research: Cloud DistributionsCharacterizations Working Group(s): Cloud Properties Journal Reference: Wang X, KN Liou, SS Ou, GG Mace, and M Deng. 2009. "Remote sensing of ...

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Observing Warm Clouds in 3D Using ARM Scanning Cloud Radars and a Novel Ensemble Method Download a printable PDF Submitter: Fielding, M. D., University of Reading Area of Research:...

  5. OSTI's E-print Network content tops 900,000 documents | OSTI, US Dept of

    Office of Scientific and Technical Information (OSTI)

    Energy Office of Scientific and Technical Information E-print Network content tops 900,000 documents Back to the OSTI News Listing for 2006 OSTI's E-print Network: Research Communications for Scientists and Engineers now provides access to over 900,000 documents on more than 22,000 scientific e-print Web sites. In addition, the E-print Network provides links to more than 2,900 relevant scientific societies. This Web portal, established as the PrePRINT Network in 2000, is a vast, integrated

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    New Method for Retrieving Cloud Heights from Satellite Data Download a printable PDF Submitter: Chang, F., Science Systems and Applications, Inc. Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Chang F, P Minnis, B Lin, MM Khaiyer, R Palikonda, and DA Spangenberg. 2010. "A modified method for inferring cloud top height using GOES-12 imager 10.7- and 13.3-µm data." Journal of

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Surface Summertime Radiative Forcing by Shallow Cumuli at the ARM SGP Download a printable PDF Submitter: Berg, L., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Berg LK, EI Kassianov, CN Long, and DL Mills. 2011. "Surface summertime radiative forcing by shallow cumuli at the ARM SGP." Journal of Geophysical Research - Atmospheres, 116, D01202, 10.1029/2010JD014593. Histogram of hourly average shortwave

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Adoption of RRTMG in the NCAR CAM5 and CESM1 Global Climate Models Download a printable PDF Submitter: Iacono, M. J., Atmospheric & Environmental Research, Inc. Collins, W. D., Lawrence Berkeley National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Figure 1. Shortwave cloud forcing for three versions of the NCAR Community Atmosphere Model (CAM) with CERES

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Improving the Treatment of Radiation in Climate Models Download a printable PDF Submitter: Delamere, J. S., University of Alaska Fairbanks Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Delamere JS, SA Clough, VH Payne, EJ Mlawer, DD Turner, and RR Gamache. 2010. "A far-infrared radiative closure study in the Arctic: Application to water vapor." Journal of Geophysical Research - Atmospheres, 115, D17106,

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Cumuli Impact on Solar Radiation at Surface: Spectral Changes Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, J Barnard, LK Berg, CN Long, and C Flynn. 2011. "Shortwave spectral radiative forcing of cumulus clouds from surface observations." Geophysical Research Letters, 38, L07801,

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Possible Impact of Homogeneous Freezing Nucleation on in Situ Measurements Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., DOE - SunShot Initiative, AAAS S&T Policy Fellow Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. Cirrus Clouds and Climate Engineering: New Findings on Ice Nucleation and Theoretical

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Parameterizing the Ice Fall Speed in Climate Models: Results from TC4 and ISDAC Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Mishra, S., DOE - SunShot Initiative, AAAS S&T Policy Fellow Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mitchell DL, S Mishra, and RP Lawson. 2011. "Representing the ice fall speed in climate

  13. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Ice Heating Up Cold Clouds Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ovchinnikov M, A Korolev, and J Fan. 2011. "Effects of ice number concentration on dynamics of a shallow mixed-phase stratiform cloud." Journal of Geophysical Research - Atmospheres, 116, D00T06, doi:10.1029/2011JD015888. The mighty cloud

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Putting the Pieces Together Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Fan J, S Ghan, M Ovchinnikov, X Liu, P Rasch, and A Korolev. 2011. "Representation of arctic mixed-phase clouds and the Wegener-Bergeron-Findeisen process in climate models: Perspectives from a cloud-resolving study." Journal of Geophysical Research - Atmospheres, 116,

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Improving Water Vapor Continuum Absorption and Its Impact on a GCM Simulation Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, A Merrelli, D Vimont, and EJ Mlawer. 2012. "Impact of modifying the longwave water vapor continuum absorption model on community Earth system model

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    First Ground-Based Spectral Observations of the Entire Infrared Band Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Turner DD, EJ Mlawer, G Bianchini, MP Cadeddu, S Crewell, JS Delamere, RO Knuteson, G Maschwitz, M Mlynzcak, S Paine, L Palchetti, and DC Tobin. 2012.

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Pollution + Storm Clouds = Warmer Atmosphere Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Fan J, D Rosenfeld, Y Ding, L Leung, and Z Li. 2012. "Potential aerosol indirect effects on atmospheric circulation and radiative forcing through deep convection." Geophysical Research Letters, 39, L09806,

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Aerosols Help Heat Up the Yangtze River Delta in China Download a printable PDF Submitter: Flynn, C. J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Liu J, Z Li, Y Zheng, C Flynn, and M Cribb. 2012. "Seasonal variations of aerosol optical properties, vertical distribution and associated radiative effects in the Yangtze Delta region of China." Journal of Geophysical Research, 117, D00K38,

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM Measurements Help to Evaluate Radiation Codes Used in Global Modeling Download a printable PDF Submitter: Oreopoulos, L., NASA Mlawer, E. J., Atmospheric & Environmental Research, Inc. Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Oreopoulos L, E Mlawer, J Delamere, T Shippert, J Cole, B Fomin, M Iacono, Z Jin, J Li, J Manners, P Raisanen, F Rose, Y Zhang, MJ Wilson, and WB Rossow. 2012. "The Continual Intercomparison of Radiation Codes:

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    "Invisible" Giants in the Sky Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kassianov E, M Pekour, and J Barnard. 2012. "Aerosols in central California: Unexpectedly large contribution of coarse mode to aerosol radiative forcing." Geophysical Research Letters, 39, L20806, doi:10.1029/2012GL053469. Daily averaged values of (a, b) the direct

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Lord of the Wings: Elevated Particles a Rising Star Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kassianov E, C Flynn, J Redemann, B Schmid, PB Russell, and A Sinyuk. 2012. "Initial assessment of the Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR)-based aerosol retrieval: Sensitivity study." Atmosphere, 3,

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Quantifying the Magnitude of Anomalous Solar Absorption Submitter: Ackerman, T. P., University of Washington Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1 Figure 1 Spurred by a series of articles published in 1995 claiming solar absorption in cloudy atmospheres far exceeded model predictions, Atmospheric Radiation Measurement (ARM) Program researchers at the Southern Great Plains (SGP) site in

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Chinese Researchers Report Reliable Method for Monitoring Soil Moisture Submitter: Bhattacharya, A., Pacific Northwest National Laboratory Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Sun L, R Sun, XW Li, SL Liang, and RH Zhang. 2012. "Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information." Agricultural and Forest Meteorology, 166, doi:10.1016/j.agrformet.2012.07.015. Shown

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Downward Longwave Irradiance Uncertainty Under Arctic Atmospheres: Measurements and Modeling Submitter: Marty, C., Swiss Federal Institute of Snow and Avalanche Research Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marty, C., R. Philipona, J. Delamere, E.G. Dutton, J. Michalsky, K. Stamnes, R. Storvold, T. Stoffel, S.A. Clough, and E.J. Mlawr, Downward longwave irradiance uncertainty under arctic atmospheres: Measurements and modeling, J.

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Evaluation of Cloud Properties in Major Reanalyses Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Wu, W., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Wu W, YG Liu, and AK Betts. 2012. "Observationally based evaluation of NWP reanalyses in modeling cloud properties over the Southern Great Plains." Journal of Geophysical Research - Atmospheres, 117, D12202,

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Decade and Counting Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Long CN, SA McFarlane, A Del Genio, P Minnis, TP Ackerman, J Mather, J Comstock, GG Mace, M Jensen, and C Jakob. 2013. "ARM research in the equatorial western Pacific - a decade and counting." Bulletin of the American Meteorological Society, 94(5),

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Field Campaign Resource Allocation Using Statistical Decision Analysis Download a printable PDF Submitter: Hanlon, C., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Hanlon CJ, JB Stefik, AA Small, J Verlinde, and GS Young. 2013. "Statistical decision analysis for flight decision support: The SPartICus campaign." Journal of Geophysical Research - Atmospheres, 118(10), 10.1002/jgrd.50237. In many atmospheric science

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Brass Ring of Climate Modeling Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ghan SJ, SJ Smith, M Wang, K Zhang, K Pringle, K Carslaw, J Pierce, S Bauer, and P Adams. 2013. "A simple model of global aerosol indirect effects." Journal of Geophysical Research - Atmospheres, 118, 1-20. The simple model of aerosol effects on clouds

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Twenty Years Serving Climate Science Download a printable PDF Submitter: Mather, J. H., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Aerosol Life Cycle, Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Mather JH and JW Voyles. 2013. "The ARM Climate Research Facility: a review of structure and capabilities." Bulletin of the American Meteorological Society, 94(3), doi:10.1175/BAMS-D-11-00218.1. A scanning ARM

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    CCN and Vertical Velocity Influences Submitter: Hudson, J. G., Desert Research Institute Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Hudson JG and S Noble. 2013. "CCN and vertical velocity influences on droplet concentrations and supersaturations in clean and polluted stratus clouds." Journal of the Atmospheric Sciences, 71(1), 10.1175/JAS-D-13-086.1. Figure 1. Effective cloud supersaturation

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Hemispherical Simulations Show Impact of Aerosols on Cloud Reflectivity Submitter: Rotstayn, L., Commonwealth Scientific and Industrial Research Organization Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Rotstayn, L., and Y. Liu, Sensitivity of the First Indirect Aerosol Effect to an Increase in Cloud Droplet Spectral Dispersion with Droplet Number Concentration, Journal of Climate: Vol. 16, No. 21, pp.3476-3481, May 2003. Figure 1. Measurements of the

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Digging Into Climate Models' Needs with SPADE Download a printable PDF Submitter: Gustafson, W. I., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Gustafson WI, PL Ma, H Xiao, B Singh, PJ Rasch, and JD Fast. 2013. "The separate physics and dynamics experiment (SPADE) framework for determining resolution awareness: A case study of microphysics." Journal of Geophysical Research -

  13. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Invisible Giants in the Sky Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Kassianov E, M Pekour, and J Barnard. 2012. "Aerosols in central California: Unexpectedly large contribution of coarse mode to aerosol radiative forcing." Geophysical Research Letters, 39, L20806, doi:10.1029/2012GL053469. Photo

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Nailing Down Ice in a Cloud Model Download a printable PDF Submitter: Comstock, J. M., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Comstock JM, A Protat, SA McFarlane, J Delanoë, and M Deng. 2013. "Assessment of uncertainty in cloud radiative effects and heating rates through retrieval algorithm differences: Analysis using 3 Years of ARM data at Darwin, Australia." Journal of Geophysical Research -

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Overambitious Other Carbon Submitter: Church, J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Song C, M Gyawali, RA Zaveri, JE Shilling, and WP Arnott. 2013. "Light absorption by secondary organic aerosol from α-pinene: Effects of oxidants, seed aerosol acidity, and relative humidity." Journal of Geophysical Research - Atmospheres, 118, doi:10.1002/jgrd.50767. Time-dependent Mass Absorption

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Observational Analysis of Land-Atmosphere Coupling for Climate Model Evaluation Download a printable PDF Submitter: Phillips, T. J., Lawrence Livermore National Laboratory Klein, S., Lawrence Livermore National Laboratory Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Phillips TJ and SA Klein. 2014. "Land-atmosphere coupling manifested in warm-season observations on the U.S. southern great plains." Journal of Geophysical Research -

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Revealing Look Inside Northern Australian Wet Season Precipitation Download a printable PDF Submitter: Giangrande, S., Brookhaven National Laboratory Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, M Bartholomew, M Pope, S Collis, and MP Jensen. 2014. "A Summary of Precipitation Characteristics from the 2006-2011 Northern Australian Wet Seasons as Revealed by ARM Disdrometer Research Facilities (Darwin, Australia)." Journal of

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    MBL Aerosol Properties and Their Impact on CCN at the Azores-AMF Site Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Aerosol Properties Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Logan T, B Xi, and X Dong. 2014. "Aerosol properties and their influences on marine boundary layer cloud condensation nuclei at the ARM mobile facility over the Azores." Journal of Geophysical Research - Atmospheres, 119(8),

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Accuracy of GFS and ECMWF Hurricane Sandy Track Forecasts Dependent on Cumulus Parameterization Download a printable PDF Submitter: Bassill, N. P., University of Utah Zipser, E., University of Utah Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Bassill NP. 2014. "Accuracy of early GFS and ECMWF Sandy (2012) track forecasts: Evidence for a dependence on cumulus parameterization." Geophysical Research Letters, ,

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Parameterization of Ice Fall Speeds in Midlatitude Cirrus: Results from SPartICus Submitter: Mishra, S., DOE - SunShot Initiative, AAAS S&T Policy Fellow Mitchell, D. L., Desert Research Institute Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Mishra S, DL Mitchell, DD Turner, and RP Lawson. 2014. "Parameterization of ice fall speeds in midlatitude cirrus: Results from SPartICus." Journal of

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Masters the Misunderstood Mixed-Phase Cloud Download a printable PDF Submitter: Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Ovchinnikov M, AS Ackerman, A Avramov, A Cheng, J Fan, AM Fridland, S Ghan, J Harrington, C Hoose, A Korolev, GM McFarquhar, H Morrison, M Paukert, J Savre, BJ Shipway, MD Shupe, A Solomon, and K

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Checking Up on Tropical Sunlight Download a printable PDF Submitter: Riihimaki, L., Pacific Northwest National Laboratory Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Riihimaki LD and CN Long. 2014. "Spatial variability of surface irradiance measurements at the Manus ARM site." Journal of Geophysical Research - Atmospheres, 119(9), 10.1002/2013JD021187. The radiometer system used at the

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Gas-Phase Dry Deposition as a Major Removal Mechanism for Secondary Organic Aerosols (SOA) Download a printable PDF Submitter: Hodzic, A., NCAR Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Hodzic A, B Aumont, C Knote, J Lee-Taylor, S Madronich, and G Tyndall. 2014. "Volatility dependence of Henry's law constants of condensable organics: Application to estimate depositional loss of secondary organic aerosols." Geophysical Research Letters,

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Water Vapor Turbulence Statistics in the Convective Boundary Layer Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Turner DD, V Wulfmeyer, LK Berg, and JH Schween. 2014. "Water vapor turbulence profiles in stationary continental convective mixed layers." Journal of Geophysical Research - Atmospheres, 119,

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Interactions Between Cumulus Convection and Its Environment as Revealed by MC3E Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: Xie S, Y Zhang, SE Giangrande, MP Jensen, R McCoy, and M Zhang. 2014. "Interactions between cumulus convection and its environment as revealed by the MC3E sounding array." Journal of Geophysical Research

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Comparison of Vertical Velocities in Cirrus Derived from Aircraft and Ground-based Radar Download a printable PDF Submitter: Muhlbauer, A., University of Washington Kalesse, H., Leibniz Institute for Tropospheric Research Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Muhlbauer A, H Kalesse, and P Kollias. 2014. "Vertical velocities and turbulence in midlatitude anvil cirrus: A comparison between in situ aircraft measurements and ground-based

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Quantifying the Importance of Cold Pool Mechanisms for Convection Triggering Download a printable PDF Submitter: Kuang, Z., Harvard University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Torri G, Z Kuang, and Y Tian. 2015. "Mechanisms for convection triggering by cold pools." Geophysical Research Letters, 42(6), 10.1002/2015GL063227. Horizontal sections of (left) potential temperature and (right) water vapor specific humidity at 25 m from the

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Observed Relations Between Snowfall Microphysics and Triple-Frequency Radar Observations Download a printable PDF Submitter: Kneifel, S., McGill University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kneifel S, A von Lerber, J Tiira, D Moisseev, P Kollias, and J Leinonen. 2015. "Observed relations between snowfall microphysics and triple-frequency radar measurements." Journal of Geophysical Research - Atmospheres, 120(12),

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Stereo Photogrammetry Reveals Substantial Drag on Cloud Thermals Download a printable PDF Submitter: Romps, D., Lawrence Berkeley National Laboratory Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Romps DM and R Oktem. 2015. "Stereo photogrammetry reveals substantial drag on cloud thermals." Geophysical Research Letters, , doi:10.1002/2015GL064009. ONLINE. A 14-minute sequence of cloud growth as observed by a camera located at the MAST Academy

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Retrieving Cloud and Aerosol Properties from the ARM Raman Lidar Download a printable PDF Submitter: Thorsen, T., NASA - Langley Research Center Fu, Q., University of Washington Area of Research: Cloud Distributions/Characterizations Working Group(s): Aerosol Life Cycle, Cloud Life Cycle Journal Reference: Thorsen TJ, Q Fu, RK Newsom, DD Turner, and JM Comstock. 2015. "Automated retrieval of cloud and aerosol properties from the ARM Raman lidar, Part I: Feature detection." Journal of

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Role of Ice Nuclei Recycling in the Maintenance of Cloud Ice in Arctic Mixed-phase Stratocumulus Download a printable PDF Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Feingold, G., NOAA - Earth System Research Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, G Feingold, and MD Shupe. 2015. "The role of ice nuclei recycling in the maintenance of cloud ice in Arctic mixed-phase

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Roles of Wind Shear at Different Vertical Levels in Cloud System Organization and Properties Download a printable PDF Submitter: Fan, J., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Chen Q, J Fan, S Hagos, W Gustafson, and L Berg. 2015. "Roles of wind shear at different vertical levels, Part I: Cloud system organization and properties." Journal of Geophysical Research -

  13. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Observation of Fair-weather Cumuli over Land Dynamical Factors Controlling Cloud Size and Cover Download a printable PDF Submitter: Lamer, K., Pennsylvania State University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Lamer K and P Kollias. 2015. "Observations of fair-weather cumuli over land: dynamical factors controlling cloud size and cover." Geophysical Research Letters, 42(20), 10.1002/2015GL064534. Statistics of

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Characterizing Arctic Mixed-Phase Cloud Structure Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qiu S, X Dong, B Xi, and F Li. 2015. "Characterizing Arctic mixed-phase cloud structure and its relationship with humidity and temperature inversion using ARM NSA observations." Journal of Geophysical Research - Atmospheres, 120, 10.1002/2014JD023022. Figure 1.

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Partial Mechanistic Understanding of the North American Monsoon Download a printable PDF Submitter: Erfani, E., George Mason University Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Erfani E and DL Mitchell. 2014. "A partial mechanistic understanding of the North American monsoon." Journal of Geophysical Research - Atmospheres, 119(23), 10.1002/2014JD022038. a) Dependence of inversion

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Ice Particle Projected Area- and Mass-Dimension Expressions for Cirrus Clouds Download a printable PDF Submitter: Mitchell, D. L., Desert Research Institute Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Erfani E and DL Mitchell. 2015. "Developing and bounding ice particle mass- and area-dimension expressions for use in atmospheric models and remote sensing." Atmospheric Chemistry and Physics, 15(20),

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Scale-Aware Parameterization of Liquid Cloud Inhomogeneity and Its Impact on Simulated Climate Download a printable PDF Submitter: Zhang, M., Stony Brook University Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Xie X and M Zhang. 2015. "Scale-aware parameterization of liquid cloud inhomogeneity and its impact on simulated climate in CESM." Journal of Geophysical Research - Atmospheres, 120(16),

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    From Fire to Ice Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Kulkarni GR, M Nandasiri, A Zelenyuk, J Beranek, N Madaan, A Devaraj, V Shutthanandan, S Thevuthasan, and T Varga. 2015. "Effects of crystallographic properties on the ice nucleation properties of volcanic ash particles." Geophysical Research Letters, 42(8), doi:10.1002/2015GL063270. Tons of

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Birth and Growth of an Aerosol Download a printable PDF Submitter: Fast, J. D., Pacific Northwest National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A An aerosol particle journey. New modeling approaches developed by a research team led by PNNL show how aerosol particles are born and grow to affect the atmosphere and ultimately climate. An aerosol particle journey. New modeling approaches

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Pollution Changes Clouds' Ice Crystal Genesis Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kulkarni GR, K Zhang, C Zhao, M Nandasiri, V Shutthanandan, X Liu, L Berg, and J Fast. 2015. "Ice formation on nitric acid-coated dust particles: Laboratory and modeling studies." Journal of Geophysical Research - Atmospheres, 120(15), doi:10.1002/2014JD022637.

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Spiraling Through a Storm PI Contact: Giangrande, S., Brookhaven National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Giangrande SE, T Toto, A Bansemer, MR Kumjian, S Mishra, and A Ryzkhov. 2016. "Insights into riming and aggregation processes as revealed by aircraft, radar, and disdrometer observations for a 27 April 2011 widespread precipitation event." Journal of Geophysical Research - Atmospheres, , doi:10.1002/2015JD024537.

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Dependence of Entrainment in Shallow Cumulus Convection on Vertical Velocity and Distance to Cloud Edge PI Contact: Kuang, Z., Harvard University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Tian Y and Z Kuang. 2016. "Dependence of entrainment in shallow cumulus convection on vertical velocity and distance to cloud edge." Geophysical Research Letters, , doi:10.1002/2016GL069005. ONLINE. Percentage change in (a) vertical velocity, (b) distance

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Three Dimensions Are Better Than Two, When It Comes to Representing Aerosols PI Contact: Ching, J., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: Ching J, RA Zaveri, RC Easter, N Riemer, and JD Fast. 2016. "A three-dimensional sectional representation of aerosol mixing state for simulating optical properties and cloud condensation nuclei." Journal of Geophysical Research - Atmospheres, 121(10),

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bell-Shaped Curve Captures Cloud System Variability Submitter: Lamb, P. J., University of Oklahoma Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Journal of Geophysical Research, 110, D18205, doi:10.1029/2005JD006158. Figure 1. Reflectivity standard deviation PDFs, resampled as a function of timescale and contoured by equal values of probability, show an increase in variability with scale. The PDF modes lie mostly along the mean

  5. Research Highlights

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ADCLES » Chemistry » Research Highlights Research Highlights A publication highlights recent advances. Contact Us Division Leader David Morris Deputy Division Leader Mark McCleskey (505) 667-4457 Division Office (505) 667-4457 Email Extraordinary work from Chemistry Division staff 2016 Nuclear Forensics Undergraduate Summer School 2017 11/15 Quantum Dot Solar Windows Technology Wins Special R&D 100 Award Recognition 11/15 Los Alamos scientist recognized for work to increase availability of

  6. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Projects » Past Research Projects Composite-to-Steel Joint Integrity Monitoring and Assessment Collaboration between Los Alamos National Laboratory and the University of California at San Diego (UCSD) Jacobs School of Engineering Contact Institute Director Charles Farrar (505) 663-5330 Email UCSD EI Director Michael Todd (858) 534-5951 Professional Staff Assistant Ellie Vigil (505) 667-2818 Email Administrative Assistant Rebecca Duran (505) 665-8899 Email UCSD Faculty and Graduate

  7. Research Capabilities

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Capabilities Research Capabilities These capabilities are our science and engineering at work for the national security interest in areas from global climate to cyber security, from nonproliferation to new materials, from clean energy, to supercomputing. thumbnail of Bioscience At Los Alamos, scientists and engineers are working to unlock many of the mechanisms found in nature to improve humanity's ability to battle diseases, create new forms of environmentally friendly and abundant

  8. Research Help

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Help Research Help Find the core literature and resources in a given subject area. Questions? 505-667-5809 Email Business Chemistry Computer Science Earth & Environmental Science Engineering Global Security Health & Safety Information Science Life Sciences Materials Science Mathematics Nanotechnology Nuclear Science & Technology Physics Renewable Energy Space Sciences *Plutonium Science Research Help Looking for Library resources? How to Find can assist you in your search Need

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Black Carbon Aerosols Alter Cloud Microphysical Properties PI Contact: Riemer, N., University of Illinois, Urbana Ching, J., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Ching J, N Riemer, and M West. 2016. "Black carbon mixing state impacts on cloud microphysical properties: Effects of aerosol plume and environmental conditions." Journal of Geophysical Research - Atmospheres, 121(10),

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Radiation Closure Study at Both Surface and TOA Using RTM PI Contact: Dong, X., University of Arizona Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Dong X, B Xi, S Qiu, P Minnis, S Sun-Mack, and F Rose. 2016. "A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite-surface data and Fu-Liou radiative transfer model." Journal of Geophysical Research - Atmospheres, 121(17),

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Impacts of the Manaus Pollution Plume on the Microphysical Properties of Amazonian Warm-Phase C PI Contact: Machado, L. A., INPE-CPTEC Cecchini, M. A., National Institute for Space Research (INPE) Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Cecchini MA, LA Machado, JM Comstock, F Mei, J Wang, J Fan, JM Tomlinson, B Schmid, R Albrecht, ST Martin, and P Artaxo. 2016. "Impacts of the Manaus pollution plume on the

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    New DSD Parameterization and SR QPE from Aircraft and Surface Distrometer PI Contact: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Properties Journal Reference: Wang J, X Dong, B Xi, and H Andrew. 2016. "Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization of rain drop size distribution and its application for stratiform rain estimate." Journal of Geophysical Research - Atmospheres, 121,

  13. Research Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Projects Joint Los Alamos National Laboratory/UCSD Research Projects Collaborations between Los Alamos National Laboratory and the University of California at San Diego (UCSD) Jacobs School of Engineering Contact Institute Director Charles Farrar (505) 663-5330 Email UCSD EI Director Michael Todd (858) 534-5951 Professional Staff Assistant Jutta Kayser (505) 663-5649 Email Administrative Assistant Stacy Baker (505) 663-5233 Email "Since 2003, LANL has funded numerous collaborative

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Characterization of Atmospheric Aerosols Using MFRSR Measurements Download a printable PDF Submitter: Alexandrov, M. D., Columbia University Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Alexandrov, MD, AA Lacis, BE Carlson, and B Cairns. 2007. "Characterization of atmospheric aerosols using MFRSR measurements." (Journal of Geophysical Research 113, DO8204. Sample spectral optical depths of atmospheric constituents in 300 - 900 nm spectral range:

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Improving Convection Parameterization Using ARM Observations and NCAR Community Atmosphere Model Download a printable PDF Submitter: Zhang, G., University of California, San Diego Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Li, G, and GJ Zhang. 2008. "Understanding biases in shortwave cloud radiative forcing in the National Center for Atmospheric Research Community Atmosphere Model (CAM3) during El

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Wide Angle Imaging Lidar: Active Optical Sensor Technology for Ground-Based Probing of Dense Clouds Download a printable PDF Submitter: Davis, A. B., Jet Propulsion Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Davis, AB. 2008. "Multiple-scattering lidar from both sides of the clouds: Addressing internal structure." Journal of Geophysical Research 113, D14S10, doi:10.1029/2007JD009666. Figure 1. Lidar

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Threshold Radar Reflectivity Separating Precipitating from Non-Precipitating Clouds Download a printable PDF Submitter: Liu, Y., Brookhaven National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Liu, Y, B Geerts, PH Daum, R McGraw, and M Miller. 2008. "Threshold radar reflectivity for drizzling clouds." Geophysical Research Letters 35, L03807, doi:10.1029/2007GL031201. Figure 1 shows the comparison of the

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Minimal Shortwave Anomalous Absorption Found over ACRF Sites Download a printable PDF Submitter: Dong, X., University of Arizona Minnis, P., NASA - Langley Research Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Dong, X, BA Wielicki, B Xi, Y Hu, GG Mace, S Benson, F Rose, S Kato, T Charlock, and P Minnis. 2008. "Using observations of deep convective systems to constrain atmospheric column absorption of solar radiation in the optically

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Atmospheric Aerosol Measurements on Cloudy Days: a New Method Download a printable PDF Submitter: Kassianov, E., Pacific Northwest National Laboratory Ovchinnikov, M., Pacific Northwest National Laboratory Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Kassianov, EI, and M Ovtchinnikov. 2008. "On reflectance ratios and aerosol optical depth retrieval in the presence of cumulus clouds." Geophysical Research Letters doi:10.1029/2008GL033231.

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Detection and Retrieval of Cirrus Clouds in the Tropics from AIRS: Validation from ARM Data Submitter: Yue, Q., Jet Propulsion Laboratory/California Institute of Technology Liou, K., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Yue Q and KN Liou. 2009. "Cirrus cloud optical and microphysical properties determined from AIRS infrared spectra." Geophysical Research Letters, 36, L05810,

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Influence of Parameterized Ice Habit on Simulated Mixed-Phase Arctic Clouds Download a printable PDF Submitter: Harrington, J. Y., Pennsylvania State University Avramov, A., Columbia University Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Modeling Journal Reference: Avramov A and JY Harrington. 2010. "Influence of parameterized ice habit on simulated mixed phase Arctic clouds." Journal of Geophysical Research - Atmospheres, 115, D03205,

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Clouds Brighten Up the Sky Near Them Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Varnai T and A Marshak. 2009. "MODIS observations of enhanced clear sky reflectance near clouds." Geophysical Research Letters, 36, L06807, doi:10.1029/2008GL037089. Figure 1. Illustration of clouds enhancing the

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Comparison of Ground-Based Millimeter-Wave Observations During RHUBC I Submitter: Cimini, D., CETEMPS - Dipartimento di Fisica Westwater, E. R., University of Colorado Payne, V., Jet Propulsion Laboratory/California Institute of Technology Turner, D. D., National Oceanic and Atmospheric Administration Mlawer, E. J., Atmospheric & Environmental Research, Inc. Exner, M., Radiometrics Corporation Cadeddu, M. P., Argonne National Laboratory Area of Research: Radiation Processes Working Group(s):

  4. Better Buildings Network View | February 2015 | Department of...

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Better Buildings Network View | June 2015 Nothing But Networking for Residential Network ...

  5. Postdoctoral Research Awards Annual Research Meeting: Padmaja...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Padmaja Gunda Postdoctoral Research Awards Annual Research Meeting: Padmaja Gunda Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from the ...

  6. Postdoctoral Research Awards Annual Research Meeting: Brandon...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Brandon Mercado Postdoctoral Research Awards Annual Research Meeting: Brandon Mercado Poster Presentation at 2012 EERE Annual Research Meeting, Postdoctoral Research Awards, from ...

  7. Scaling the Earth System Grid to 100Gbps Networks

    SciTech Connect

    Balman, Mehmet; Sim, Alex

    2012-03-02

    The SC11 demonstration, titled Scaling the Earth System Grid to 100Gbps Networks, showed the ability to use underlying infrastructure for the movement of climate data over 100Gbps network. Climate change research is one of the critical data intensive sciences, and the amount of data is continuously growing. Climate simulation data is geographically distributed over the world, and it needs to be accessed from many sources for fast and efficient analysis and inter-comparison of simulations. We used a 100Gbps link connecting National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL), Argonne National Laboratory (ANL) and Oak Ridge National Laboratory (ORNL). In the demo, the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) phase 3 of the Coupled Model Intercomparison Project (CMIP-3) dataset was staged into the memory of computing nodes at ANL and ORNL from NERSC over the 100Gbps network for analysis and visualization. In general, climate simulation data consists of relatively small and large files with irregular file size distribution in each dataset. In this demo, we addressed challenges on data management in terms of high bandwidth networks, usability of existing protocols and middleware tools, and how applications can adapt and benefit from next generation networks.

  8. RNEDE: Resilient Network Design Environment

    SciTech Connect

    Venkat Venkatasubramanian, Tanu Malik, Arun Giridh; Craig Rieger; Keith Daum; Miles McQueen

    2010-08-01

    Modern living is more and more dependent on the intricate web of critical infrastructure systems. The failure or damage of such systems can cause huge disruptions. Traditional design of this web of critical infrastructure systems was based on the principles of functionality and reliability. However, it is increasingly being realized that such design objectives are not sufficient. Threats, disruptions and faults often compromise the network, taking away the benefits of an efficient and reliable design. Thus, traditional network design parameters must be combined with self-healing mechanisms to obtain a resilient design of the network. In this paper, we present RNEDEa resilient network design environment that that not only optimizes the network for performance but tolerates fluctuations in its structure that result from external threats and disruptions. The environment evaluates a set of remedial actions to bring a compromised network to an optimal level of functionality. The environment includes a visualizer that enables the network administrator to be aware of the current state of the network and the suggested remedial actions at all times.

  9. Global interrupt and barrier networks

    DOEpatents

    Blumrich, Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E; Heidelberger, Philip; Kopcsay, Gerard V.; Steinmacher-Burow, Burkhard D.; Takken, Todd E.

    2008-10-28

    A system and method for generating global asynchronous signals in a computing structure. Particularly, a global interrupt and barrier network is implemented that implements logic for generating global interrupt and barrier signals for controlling global asynchronous operations performed by processing elements at selected processing nodes of a computing structure in accordance with a processing algorithm; and includes the physical interconnecting of the processing nodes for communicating the global interrupt and barrier signals to the elements via low-latency paths. The global asynchronous signals respectively initiate interrupt and barrier operations at the processing nodes at times selected for optimizing performance of the processing algorithms. In one embodiment, the global interrupt and barrier network is implemented in a scalable, massively parallel supercomputing device structure comprising a plurality of processing nodes interconnected by multiple independent networks, with each node including one or more processing elements for performing computation or communication activity as required when performing parallel algorithm operations. One multiple independent network includes a global tree network for enabling high-speed global tree communications among global tree network nodes or sub-trees thereof. The global interrupt and barrier network may operate in parallel with the global tree network for providing global asynchronous sideband signals.

  10. Wellbore Integrity Network

    SciTech Connect

    Carey, James W.; Bachu, Stefan

    2012-06-21

    In this presentation, we review the current state of knowledge on wellbore integrity as developed in the IEA Greenhouse Gas Programme's Wellbore Integrity Network. Wells are one of the primary risks to the successful implementation of CO{sub 2} storage programs. Experimental studies show that wellbore materials react with CO{sub 2} (carbonation of cement and corrosion of steel) but the impact on zonal isolation is unclear. Field studies of wells in CO{sub 2}-bearing fields show that CO{sub 2} does migrate external to casing. However, rates and amounts of CO{sub 2} have not been quantified. At the decade time scale, wellbore integrity is driven by construction quality and geomechanical processes. Over longer time-scales (> 100 years), chemical processes (cement degradation and corrosion) become more important, but competing geomechanical processes may preserve wellbore integrity.

  11. Toward quantum plasmonic networks

    DOE PAGES [OSTI]

    Holtfrerich, M. W.; Dowran, M.; Davidson, R.; Lawrie, B. J.; Pooser, R. C.; Marino, A. M.

    2016-08-30

    Here, we demonstrate the transduction of macroscopic quantum entanglement by independent, distant plasmonic structures embedded in separate thin silver films. In particular, we show that the plasmon-mediated transmission through each film conserves spatially dependent, entangled quantum images, opening the door for the implementation of parallel quantum protocols, super-resolution imaging, and quantum plasmonic sensing geometries at the nanoscale level. The conservation of quantum information by the transduction process shows that continuous variable multi-mode entanglement is momentarily transferred from entangled beams of light to the space-like separated, completely independent plasmonic structures, thus providing a first important step toward establishing a multichannel quantummore » network across separate solid-state substrates.« less

  12. Distributed downhole drilling network

    DOEpatents

    Hall, David R.; Hall, Jr., H. Tracy; Fox, Joe; Pixton, David S.

    2006-11-21

    A high-speed downhole network providing real-time data from downhole components of a drilling strings includes a bottom-hole node interfacing to a bottom-hole assembly located proximate the bottom end of a drill string. A top-hole node is connected proximate the top end of the drill string. One or several intermediate nodes are located along the drill string between the bottom-hole node and the top-hole node. The intermediate nodes are configured to receive and transmit data packets transmitted between the bottom-hole node and the top-hole node. A communications link, integrated into the drill string, is used to operably connect the bottom-hole node, the intermediate nodes, and the top-hole node. In selected embodiments, a personal or other computer may be connected to the top-hole node, to analyze data received from the intermediate and bottom-hole nodes.

  13. HeNCE: A Heterogeneous Network Computing Environment

    DOE PAGES [OSTI]

    Beguelin, Adam; Dongarra, Jack J.; Geist, George Al; Manchek, Robert; Moore, Keith

    1994-01-01

    Network computing seeks to utilize the aggregate resources of many networked computers to solve a single problem. In so doing it is often possible to obtain supercomputer performance from an inexpensive local area network. The drawback is that network computing is complicated and error prone when done by hand, especially if the computers have different operating systems and data formats and are thus heterogeneous. The heterogeneous network computing environment (HeNCE) is an integrated graphical environment for creating and running parallel programs over a heterogeneous collection of computers. It is built on a lower level package called parallel virtual machine (PVM).more » The HeNCE philosophy of parallel programming is to have the programmer graphically specify the parallelism of a computation and to automate, as much as possible, the tasks of writing, compiling, executing, debugging, and tracing the network computation. Key to HeNCE is a graphical language based on directed graphs that describe the parallelism and data dependencies of an application. Nodes in the graphs represent conventional Fortran or C subroutines and the arcs represent data and control flow. This article describes the present state of HeNCE, its capabilities, limitations, and areas of future research.« less

  14. Network Information System

    Energy Science and Technology Software Center

    1996-05-01

    The Network Information System (NWIS) was initially implemented in May 1996 as a system in which computing devices could be recorded so that unique names could be generated for each device. Since then the system has grown to be an enterprise wide information system which is integrated with other systems to provide the seamless flow of data through the enterprise. The system Iracks data for two main entities: people and computing devices. The following aremore » the type of functions performed by NWIS for these two entities: People Provides source information to the enterprise person data repository for select contractors and visitors Generates and tracks unique usernames and Unix user IDs for every individual granted cyber access Tracks accounts for centrally managed computing resources, and monitors and controls the reauthorization of the accounts in accordance with the DOE mandated interval Computing Devices Generates unique names for all computing devices registered in the system Tracks the following information for each computing device: manufacturer, make, model, Sandia property number, vendor serial number, operating system and operating system version, owner, device location, amount of memory, amount of disk space, and level of support provided for the machine Tracks the hardware address for network cards Tracks the P address registered to computing devices along with the canonical and alias names for each address Updates the Dynamic Domain Name Service (DDNS) for canonical and alias names Creates the configuration files for DHCP to control the DHCP ranges and allow access to only properly registered computers Tracks and monitors classified security plans for stand-alone computers Tracks the configuration requirements used to setup the machine Tracks the roles people have on machines (system administrator, administrative access, user, etc...) Allows systems administrators to track changes made on the machine (both hardware and software) Generates an

  15. Network Information System

    SciTech Connect

    1996-05-01

    The Network Information System (NWIS) was initially implemented in May 1996 as a system in which computing devices could be recorded so that unique names could be generated for each device. Since then the system has grown to be an enterprise wide information system which is integrated with other systems to provide the seamless flow of data through the enterprise. The system Iracks data for two main entities: people and computing devices. The following are the type of functions performed by NWIS for these two entities: People Provides source information to the enterprise person data repository for select contractors and visitors Generates and tracks unique usernames and Unix user IDs for every individual granted cyber access Tracks accounts for centrally managed computing resources, and monitors and controls the reauthorization of the accounts in accordance with the DOE mandated interval Computing Devices Generates unique names for all computing devices registered in the system Tracks the following information for each computing device: manufacturer, make, model, Sandia property number, vendor serial number, operating system and operating system version, owner, device location, amount of memory, amount of disk space, and level of support provided for the machine Tracks the hardware address for network cards Tracks the P address registered to computing devices along with the canonical and alias names for each address Updates the Dynamic Domain Name Service (DDNS) for canonical and alias names Creates the configuration files for DHCP to control the DHCP ranges and allow access to only properly registered computers Tracks and monitors classified security plans for stand-alone computers Tracks the configuration requirements used to setup the machine Tracks the roles people have on machines (system administrator, administrative access, user, etc...) Allows systems administrators to track changes made on the machine (both hardware and software) Generates an adjustment

  16. Collective network for computer structures

    DOEpatents

    Blumrich, Matthias A.; Coteus, Paul W.; Chen, Dong; Gara, Alan; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E.; Steinmacher-Burow, Burkhard D.; Vranas, Pavlos M.

    2011-08-16

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

  17. Collective network for computer structures

    DOEpatents

    Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

    2014-01-07

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

  18. National Energy Research Scientific Computing Center (NERSC) | U.S. DOE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Office of Science (SC) National Energy Research Scientific Computing Center (NERSC) Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities User Facilities Argonne Leadership Computing Facility (ALCF) Energy Sciences Network (ESnet) National Energy Research Scientific Computing Center (NERSC) Oak Ridge Leadership Computing Facility (OLCF) Accessing ASCR Facilities Computational Science Graduate Fellowship (CSGF) Research & Evaluation Prototypes (REP) Science

  19. ASU EFRC - Center researchers

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Center researchers Chad Simmons Academic Professional Gerdenis Kodis Research Assistant Professor Raimund Fromme Faculty Research Associate Yuichi Terazono Faculty Research...

  20. Phoebus: Network Middleware for Next-Generation Network Computing

    SciTech Connect

    Martin Swany

    2012-06-16

    The Phoebus project investigated algorithms, protocols, and middleware infrastructure to improve end-to-end performance in high speed, dynamic networks. The Phoebus system essentially serves as an adaptation point for networks with disparate capabilities or provisioning. This adaptation can take a variety of forms including acting as a provisioning agent across multiple signaling domains, providing transport protocol adaptation points, and mapping between distributed resource reservation paradigms and the optical network control plane. We have successfully developed the system and demonstrated benefits. The Phoebus system was deployed in Internet2 and in ESnet, as well as in GEANT2, RNP in Brazil and over international links to Korea and Japan. Phoebus is a system that implements a new protocol and associated forwarding infrastructure for improving throughput in high-speed dynamic networks. It was developed to serve the needs of large DOE applications on high-performance networks. The idea underlying the Phoebus model is to embed Phoebus Gateways (PGs) in the network as on-ramps to dynamic circuit networks. The gateways act as protocol translators that allow legacy applications to use dedicated paths with high performance.

  1. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    DOE PAGES [OSTI]

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2014-01-01

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centersmore » and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.« less

  2. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    SciTech Connect

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2013-08-13

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  3. Flexible transparent conductors based on metal nanowire networks

    DOE PAGES [OSTI]

    Guo, Chuan Fei; Ren, Zhifeng

    2015-04-01

    Few conductors are transparent and flexible. Metals have the best electrical conductivity, but they are opaque and stiff in bulk form. However, metals can be transparent and flexible when they are very thin or properly arranged on the nanoscale. This review focuses on the flexible transparent conductors based on percolating networks of metal. Specifically, we discuss the fabrication, the means to improve the electrical conductivity, the large stretchability and its mechanism, and the applications of these metal networks. We also suggest some criteria for evaluating flexible transparent conductors and propose some new research directions in this emerging field.

  4. Multiply-agile encryption in high speed communication networks

    SciTech Connect

    Pierson, L.G.; Witzke, E.L.

    1997-05-01

    Different applications have different security requirements for data privacy, data integrity, and authentication. Encryption is one technique that addresses these requirements. Encryption hardware, designed for use in high-speed communications networks, can satisfy a wide variety of security requirements if that hardware is key-agile, robustness-agile and algorithm-agile. Hence, multiply-agile encryption provides enhanced solutions to the secrecy, interoperability and quality of service issues in high-speed networks. This paper defines these three types of agile encryption. Next, implementation issues are discussed. While single-algorithm, key-agile encryptors exist, robustness-agile and algorithm-agile encryptors are still research topics.

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Long-Term Observations of Convective Boundary Layer Using Insect Returns at SGP Download a printable PDF Submitter: Chandra, A. S., McGill University Area of Research: Vertical Velocity Working Group(s): Cloud Life Cycle Journal Reference: Chandra AS, P Kollias, SE Giangrande, and SA Klein. 2010. "Long-term observations of the convective boundary layer using insect radar returns at the SGP ARM Climate Research Facility." Journal of Climate, 23, 5699-5714. Example of time-height mapping

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Predicting Arctic Sea Ice Loss Download a printable PDF Submitter: Liu, X., University of Wyoming Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Liu X, S Xie, J Boyle, SA Klein, X Shi, Z Wang, W Lin, SJ Ghan, M Earle, PS Liu, and A Zelenyuk. 2011. "Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations." Journal of Geophysical Research, 116, D00T11,

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    New Method for Three-Dimensional Imaging of Cirrus Clouds Submitter: Liou, K., University of California, Los Angeles Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Liou, K.N, S.C. Ou, Y. Takano, J. Roskovensky, G.G. Mace, K. Sassen, and M. Poellot, 2002: "Remote sensing of three-dimensional inhomogeneous cirrus clouds using satellite and mm-wave cloud radar data," Geophysical Research Letters 29(9): 1360. Figure 1 Figure 1

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    How to Catch Aerosols in the Act Download a printable PDF Submitter: Wang, M., Nanjing University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wang M, S Ghan, X Liu, TS L'Ecuyer, K Zhang, H Morrison, M Ovchinnikov, R Easter, R Marchand, D Chand, Y Qian, and JE Penner. 2012. "Constraining cloud lifetime effects of aerosols using A-Train satellite observations." Geophysical Research Letters, 39, L15709, doi: 10.1029/2012GL052204. S-POP derived

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Short and the Long of Storms: Tracing a Deep Convective System's Life in the Midlatitude Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, X Dong, B Xi, S McFarlane, A Kennedy, B Lin, and P Minnis. 2012. "Life cycle of midlatitude deep convective systems in a Lagrangian framework." Journal of Geophysical Research - Atmospheres, 117(D23), D23201,

  10. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Evaluation of WRF Microphysics Schemes in Squall Line Simulations Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wu D, B Xi, Z Feng, A Kennedy, M Grenchen, G Matt, and T W-K. 2013. "The impact of various WRF single-moment microphysics parameterizations on squall line precipitation events." Journal of Geophysical Research - Atmospheres, 118, doi:10.1002/jgrd.50798. Comparison of

  11. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Effect of Dry Deposition of Condensable Organic Vapors on SOA Formation in the Urban Plume Download a printable PDF Submitter: Hodzic, A., NCAR Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Hodzic A, S Madronich, B Aumont, J Lee-Taylor, T Karl, M Camredon, and C Mouchel-Vallon. 2014. "Limited influence of dry deposition of semi-volatile organic vapors on secondary organic aerosol formation in the urban plume." Geophysical Research Letters,

  12. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Madden-Julian Oscillation Heating: to Tilt or Not to Tilt Download a printable PDF Submitter: Schumacher, C., Texas A&M University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Lappen C and C Schumacher. 2014. "The role of tilted heating in the evolution of the MJO." Journal of Geophysical Research - Atmospheres, 119(6), 10.1002/2013JD020638. In this figure, November through April wavenumber frequency spectrum of OLR (colors) and 850 hPa

  13. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Validation of CERES-MODIS Cloud Retrievals Using the Azores Data Download a printable PDF Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Xi B, P Minnis, and S Sun-Mack. 2014. "Comparison of marine boundary layer cloud properties from CERES-MODIS edition 4 and DOE ARM AMF measurements at the Azores." Journal of Geophysical Research - Atmospheres, 119, doi:10.1002/2014JD021813. Figure 1. The ARM radar-MWR

  14. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Climate Warming Due to Soot and Smoke? Maybe Not. Submitter: Penner, J. E., University of Michigan Area of Research: Aerosol Properties Working Group(s): Aerosol Journal Reference: Penner, J.E., S.Y. Zhang, and C.C. Chuang, Soot and smoke aerosol may not warm climate, J. Geophys. Res., 108(D21), 4657, doi:10.1029/2003JD003409, 2003. New research results from the Department of Energy's Atmospheric Radiation Measurement (ARM) Program suggest that fossil fuel soot emissions and biomass smoke may

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM Program Achieves Milestone in Global Cloud Properties Research Submitter: Revercomb, H. E., University of Wisconsin, Madison Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Knuteson, R.O., Best, F.A., Dedecker, R.G., Feltz, W.F., Revercomb, H.E., and Tobin, D.C., 2004: "10 Years of AERI Data from the DOE ARM Southern Great Plains Site," In Proceedings from the Fourteenth ARM Science Team Meeting, U.S. Department of Energy,Washington,

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Dust Takes Detour on Ice-Cloud Journey Download a printable PDF Submitter: Kulkarni, G., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Kulkarni G, C Sanders, K Zhang, X Liu, and C Zhao. 2014. "Ice nucleation of bare and sulfuric acid-coated mineral dust particles and implication for cloud properties." Journal of Geophysical Research - Atmospheres, 119(16), doi:10.1002/2014JD021567. Cirrus clouds are

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Multiday Production of SOA in Urban and Forest Outflow Submitter: Lee-Taylor, J., NCAR Madronich, S., National Center for Atmospheric Research Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Lee-Taylor J, A Hodzic, S Madronich, B Aumont, M Camredon, and R Valorso. 2015. "Multiday production of condensing organic aerosol mass in urban and forest outflow." Atmospheric Chemistry and Physics, 15, doi:10.5194/acp-15-595-2015. Simulated SOA in

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bimodal CCN Spectra Download a printable PDF Submitter: Hudson, J. G., Desert Research Institute Area of Research: Cloud Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: N/A Figure 1. Differential CCN concentrations (per cm3) against critical supersaturation (Sc) for MASE below cloud CCN spectra for each of the 8 modal categories. (a) cat 1, (b) cat 2, (c) cat 3, (d) cat 4, (e) cat 5, (f) cat 6, (g) cat 7, (h) cat 8. Sc in percent for, Hoppel minima are

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    How Well Are Shallow Convective Clouds Simulated in the CAM5 Model? Download a printable PDF Submitter: Chandra, A. S., University of Miami Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Chandra AS, C Zhang, SA Klein, and H Ma. 2015. "Low-cloud characteristics over the tropical western Pacific from ARM observations and CAM5 simulations." Journal of Geophysical Research - Atmospheres, 120(17), 52402, doi:10.1002/2015JD02.

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    DCS Ice Cloud Microphysical Properties Derived from Aircraft Data During MC3E Submitter: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Wang J, X Dong, and B Xi. 2015. "Investigation of ice cloud microphysical properties of DCSs using aircraft in situ measurements during MC3E over the ARM SGP site." Journal of Geophysical Research - Atmospheres, 120(8), 3533-3552. Figure 1. The observed PSDs at different aircraft

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Saggy Bright Bands PI Contact: Kumjian, M., Pennsylvania State University Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kumjian MR, S Mishra, SE Giangrande, T Toto, AV Ryzhkov, and A Bansemer. 2016. "Polarimetric radar and aircraft observations of saggy bright bands during MC3E." Journal of Geophysical Research - Atmospheres, , doi: 10.1002/2015JD024446. ONLINE. Time series of quasi-vertical profiles from 27 April 2011, 05:00 UTC through about

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Python ARM Radar Toolkit, the World's Leading Interactive Radar Toolkit PI Contact: Helmus, J., Argonne National Laboratory Collis, S. M., Argonne National Laboratory Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Helmus JJ and SM Collis. 2016. "The Python ARM Radar Toolkit (Py-ART), a Library for Working with Weather Radar Data in the Python Programming Language." Journal of Open Research Software., 4(1), doi:10.5334/jors.119. The Python ARM

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Understanding Changes in Cloud Phase Partitioning in Mixed-phase Clouds: an Arctic Case Study PI Contact: Kalesse, H., Leibniz Institute for Tropospheric Research Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Kalesse H, G DeBoer, A Solomon, M Oue, M Ahlgrimm, D Zhang, M Shupe, E Luke, and A Protat. 2016. "Understanding rapid changes in phase partitioning between cloud liquid and ice in stratiform mixed-phase clouds: An Arctic Case Study."

  4. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM Program Research Improves Longwave Radiative Transfer Models Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Radiative Processes Journal Reference: The QME AERI LBLRTM: A closure experiment for downwelling high spectral resolution infrared radiance. D.D. Turner, D.C. Tobin, S.A. Clough, P.D. Brown, R.G. Ellingson, E.J. Mlawer, R.O. Knuteson, H.E. Revercomb, T.R.

  5. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4D (Space-time) Ice Cloud Microphysical Properties of DCSs Retrieved from NEXRAD PI Contact: Dong, X., University of Arizona Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle Journal Reference: Jingjing T, D Xiquan, X Baike, W Jingyu, H Cameron, M Greg, and F Jiwen. 2016. "Retrievals of ice cloud microphysical properties of deep convective systems using radar measurements." Journal of Geophysical Research - Atmospheres, 121(18), 10.1002/2015JD024686. Figure 1.

  6. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM Measurements Validate New Satellite Multilayer Cloud Remote Sensing Method Submitter: Minnis, P., NASA - Langley Research Center Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Huang, J., P. Minnis, B. Lin, Y. Yi, T.-F. Fan, S. Sun-Mack, and J. K. Ayers, 2006: Determination of ice water path in ice-over-water cloud systems using combined MODIS and AMSR-E measurements. Geophys. Res. Lett., 33, L21801, 10.1029/2006GL027038. Minnis,

  7. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Cloud Ensemble Simulation with the ARM IOP Data Submitter: Xu, K., NASA - Langley Research Center Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: N/A Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 The main objective of this study is to use ARM IOP data to refine a cloudiness parameterization, as proposed by Xu and Randall (1996a). The cloudiness parameterization uses

  8. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ARM M-PACE Data Used to Evaluate and Improve Arctic Mixed-Phase Clouds Simulated in Climate Models Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Xie, S, J Boyle, SA Klein, X Liu, and S Ghan. 2008. "Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE." Journal of Geophysical Research 113,

  9. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Apparent Bluing of Aerosols Near Clouds Download a printable PDF Submitter: Marshak, A., NASA - Goddard Space Flight Center Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: Marshak, A, G Wen, JA Coakley, LA Remer, NG Loeb, and RF Cahalan. 2008. "A simple model of the cloud adjacency effect and the apparent bluing of aerosols near clouds." Journal of Geophysical Research 113, D14S17, doi: 10.1029/2007JD009196. (upper panel) A schematic

  10. Rural Innovations Network | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Network Jump to: navigation, search Name: Rural Innovations Network Place: India Sector: Services Product: General Financial & Legal Services ( Charity Non-profit Association...

  11. Residential Energy Services Network (RESNET) Conference | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Residential Energy Services Network (RESNET) Conference Residential Energy Services Network (RESNET) Conference February 29, 2016 9:00AM EST to March 2, 2016 5:0

  12. Indigenous Environmental Network | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Indigenous Environmental Network Name: Indigenous Environmental Network Address: PO Box 485 Place: Bemidji, MN Year Founded: 1990 Phone Number: (218) 751-4967 Website:...

  13. Clean Economy Network | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Network Jump to: navigation, search Name: Clean Economy Network Place: Washington, Washington, DC Zip: 20004 Product: Washingt (DC-based advocacy group focused on clean energy and...

  14. Silver Spring Networks Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Spring Networks Inc Jump to: navigation, search Name: Silver Spring Networks Inc Place: Redwood City, California Zip: 94063 Product: California-based, developer of utility...

  15. Mesoscale Simulations of Coarsening in GB Networks

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Mukul Kumar is the Principal Investigator for Mesoscale Simulations of Coarsening in GB Networks LLNL BES Programs Highlight Mesoscale Simulations of Coarsening in GB Networks The...

  16. Southeast Energy Efficiency Alliance Launches Finance Network...

    Energy Saver

    Southeast Energy Efficiency Alliance Launches Finance Network Southeast Energy Efficiency Alliance Launches Finance Network Photo of two hands holding dollar bills shaped like a ...

  17. Better Buildings Network View, March 2015

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... sent to Residential Network members or via the Residential Network Group on Home Energy Pros. ... renewable energy systems (e.g., solar panels, small wind power systems) ...

  18. EA-1964: National Ecological Observation Network (NEON)

    Energy.gov [DOE]

    The National Science Foundation (NSF) prepared an EA that evaluated potential environmental impacts of the proposed National Ecological Observation Network (NEON), a continental-scale network of...

  19. Better Buildings Residential Network Membership Form | Department...

    Energy.gov [DOE] (indexed site)

    of Energy's Better Buildings Residential Network. BBRN Membership Form (138.55 KB) More Documents & Publications Better Buildings Residential Network Orientation Fact Sheet: ...

  20. Better Buildings Residential Network Case Study: Partnerships...

    Energy Saver

    Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of Energy's Office of Energy ...

  1. Better Buildings Residential Network Orientation Webinar | Department...

    Energy Saver

    September 11, 2014. Call Slides and Discussion Summary (2.44 MB) More Documents & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network ...

  2. Better Buildings Residential Network Orientation | Department...

    Energy Saver

    Orientation Better Buildings Residential Network Orientation Better Buildings Residential Network (BBRN) Orientation Call Slides and Summary, March 27, 2014. Call Slides and ...

  3. Better Buildings Residential Network | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Better Buildings Residential Network Better Buildings Residential Network Explore Peer ... programs can implement and leverage to quickly show energy and utility dollar savings. ...

  4. Better Buildings Residential Network (BBRN) Orientation Call...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... 11 Better Buildings Residential Network (BBRN) Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

  5. Structure Learning in Power Distribution Networks (Technical...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Structure Learning in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks Authors: Deka, ...

  6. Grencubator. Ukrainian energy innovation network | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Grencubator. Ukrainian energy innovation network Jump to: navigation, search Name: Greencubator. Ukrainian energy innovation network Place: Kyiv, Ukraine Number of Employees: 1-10...

  7. Creative Environmental Networks | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Environmental Networks Jump to: navigation, search Name: Creative Environmental Networks Place: United Kingdom Zip: CR7 7JG Sector: Biomass, Renewable Energy, Services Product:...

  8. Towards A Network-of-Networks Framework for Cyber Security

    SciTech Connect

    Halappanavar, Mahantesh; Choudhury, Sutanay; Hogan, Emilie A.; Hui, Peter SY; Johnson, John R.; Ray, Indrajit; Holder, Lawrence B.

    2013-06-07

    Networks-of-networks (NoN) is a graph-theoretic model of interdependent networks that have distinct dynamics at each network (layer). By adding special edges to represent relationships between nodes in different layers, NoN provides a unified mechanism to study interdependent systems intertwined in a complex relationship. While NoN based models have been proposed for cyber-physical systems, in this paper we build towards a three-layer NoN model for an enterprise cyber system. Each layer captures a different facet of a cyber system. We then discuss the potential benefits of graph-theoretic analysis enabled from such a model. Our goal is to provide a novel and powerful tool for modeling and analyzing problems in cyber security.

  9. Biomass Rapid Analysis Network (BRAN)

    SciTech Connect

    Not Available

    2003-10-01

    Helping the emerging biotechnology industry develop new tools and methods for real-time analysis of biomass feedstocks, process intermediates and The Biomass Rapid Analysis Network is designed to fast track the development of modern tools and methods for biomass analysis to accelerate the development of the emerging industry. The network will be led by industry and organized and coordinated through the National Renewable Energy Lab. The network will provide training and other activities of interest to BRAN members. BRAN members will share the cost and work of rapid analysis method development, validate the new methods, and work together to develop the training for the future biomass conversion workforce.

  10. Analysis of Network Address Shuffling as a Moving Target Defense

    SciTech Connect

    Carroll, Thomas E.; Crouse, Michael B.; Fulp, Errin W.; Berenhaut, Kenneth S.

    2014-06-10

    Address shuffling is a type of moving target defense that prevents an attacker from reliably contacting a system by periodically remapping network addresses. Although limited testing has demonstrated it to be effective, little research has been conducted to examine the theoretical limits of address shuffling. As a result, it is difficult to understand how effective shuffling is and under what circumstances it is a viable moving target defense. This paper introduces probabilistic models that can provide insight into the performance of address shuffling. These models quantify the probability of attacker success in terms of network size, quantity of addresses scanned, quantity of vulnerable systems, and the frequency of shuffling. Theoretical analysis will show that shuffling is an acceptable defense if there is a small population of vulnerable systems within a large network address space, however shuffling has a cost for legitimate users. These results will also be shown empirically using simulation and actual traffic traces.

  11. ARM - Field Campaign - COSMOS Network

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    or call us at 1-888-ARM-DATA. Send Campaign : COSMOS Network 2010.08.05 - 2013.08.01 Lead Scientist : Marek Zreda For data sets, see below. Abstract Cosmic-ray soil moisture...

  12. Program for Online Network Inversion

    Energy Science and Technology Software Center

    2009-12-21

    PONI determines the source location of a contamination incident in a water distribution network. PONI uses large scale optimization methods to predict likely source locations by reconciling the differences between observations and numerical predictions of possible contamination incidents.

  13. INL Cyber Security Research (2008) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    INL Cyber Security Research (2008) INL Cyber Security Research (2008) Cybersecurity research at INL will help protect critical infrastructure control system computers against worms and other viruses. INL Cyber Security Research (2008) (1.06 MB) More Documents & Publications Mitigations for Security Vulnerabilities Found in Control System Networks Introduction SCADA Security for Managers and Operators The NIAC Convergence of Physical and Cyber Technbologies and Related Security Management

  14. Research | U.S. DOE Office of Science (SC)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Computer Science Next Generation Networking Scientific Discovery through Advanced Computing (SciDAC) ASCR SBIR-STTR Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific Computing Advisory Committee (ASCAC) Community Resources Contact Information Advanced Scientific Computing Research U.S. Department of Energy SC-21/Germantown Building 1000 Independence Ave., SW

  15. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Increased Accuracy for Sky Imager Retrievals Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: Long CN. 2010. "Correcting for circumsolar and near-horizon errors in sky cover retrievals from sky images." The Open Atmospheric Science Journal, 4, doi:10.2174/1874282301004010045. Long CN, JM Sabburg, J Calbo, and D Pages. 2006. "Retrieving

  16. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A New Bulk Microphysical Scheme That Includes Riming Intensity and Temperature Dependent Ice Ch Download a printable PDF Submitter: Lin, Y., Geophysical Fluid Dynamics Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Lin Y and BA Colle. 2011. "A new bulk microphysical scheme that includes riming intensity and temperature dependent ice characteristics." Monthly Weather Review, 139(3),

  17. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Comparison of Arctic Clouds Between ECMWF Simulations and ARM Observations at the NSA Download a printable PDF Submitter: Zhao, M., National Oceanic and Atmospheric Administration Wang, Z., University of Wyoming Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Figure 1: Monthly-averaged vertical distribution of cloud fraction from the observation (a) and the ECMWF model (b), and their differences (c). Both

  18. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Multiyear Statistics of 2D Shortwave Radiative Effects at Three ARM Sites Download a printable PDF Submitter: Varnai, T., University of Maryland, Baltimore County/JCEST Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Varnai T. 2010. "Multiyear statistics of 2D shortwave radiative effects at three ARM sites." Journal of the Atmospheric Sciences, 67, 3757-3762. Multiyear average influence of 2D radiative processes on total (surface and

  19. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    General Macrophysical and Microphysical Properties of Deep Convective Clouds as Observed by MODIS Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Distributions of cloud optical depth from Aqua in four regions. The mean and standard deviation of the distributions are given for each region indicated by latitude and longitude range in each panel. The means and

  20. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Estimating Glaciation Temperature of Deep Convective Clouds with Remote Sensing Data Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A (a) A conceptual diagram of cloud particle size vertical evolution inside a deep convective cloud. (b) Cloud side scanner retrievals of (left) particle size and (right) cloud phase. (a) A conceptual diagram of cloud particle size

  1. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    First Observation-Based Estimates of Cloud-Free Aerosol Radiative Forcing Across China Download a printable PDF Submitter: Li, Z., University of Maryland Area of Research: Aerosol Properties Working Group(s): Aerosol Life Cycle Journal Reference: N/A Mean annual shortwave aerosol radiative forcing (SWARF) averaged across China. Spatial variation of the annual mean SW aerosol radiative forcing. Mean annual shortwave aerosol radiative forcing (SWARF) averaged across China. Spatial variation of the

  2. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Progress Towards Climate Projections of Central U.S. Rainfall Using a Global Model with Embedded Explicit Convection Download a printable PDF Submitter: Pritchard, M. S., Scripps Institution of Oceanography Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Pritchard MS, MW Moncrieff, and RC Somerville. 2011. "Orogenic propagating precipitation systems over the US in a global climate model with embedded

  3. Research Highlight

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Characterizing Clouds at Arctic Atmospheric Observatories Download a printable PDF Submitter: Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Shupe MD, VP Walden, E Eloranta, T Uttal, JR Campbell, SM Starkweather, and M Shiobara. 2011. "Clouds at Arctic atmospheric observatories, part I: occurrence and macrophysical properties." Journal of Applied Meteorology and Climatology, 50(3), 626-644.

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    A Downwelling Infrared Radiance Climatology for the ARM Southern Great Plains Site Download a printable PDF Submitter: Turner, D. D., National Oceanic and Atmospheric Administration Gero, J., University of Wisconsin Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Turner DD and PJ Gero. 2011. "Downwelling infrared radiance temperature climatology for the Atmospheric Radiation Measurement Southern Great Plains site." Journal of Geophysical

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    Comparison of Microphysics Schemes in Idealized Supercell Thunderstorm Simulations Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Morrison H and JA Milbrandt. 2011. "Comparison of two-moment bulk microphysics schemes in idealized supercell thunderstorm simulations." Monthly Weather Review, 139, 1103-1130. Near-surface radar reflectivity after

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    Evaluation of CRM Intercomparison Simulations Using TWP-ICE Observations, Part 1 Download a printable PDF Submitter: Varble, A., University of Utah Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Varble AC, AM Fridlind, EJ Zipser, AS Ackerman, J Chaboureau, J Fan, A Hill, SA McFarlane, J Pinty, and B Shipway. 2011. "Evaluation of cloud-resolving model intercomparison simulations using TWP-ICE observations: Precipitation and cloud

  7. Research Highlight

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    Estimating the Ice Crystal Enhancement Factor in the Tropics Download a printable PDF Submitter: Zeng, X., Morgan State University GSFC, N., NASA GSFC Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Zeng X, W Tao, T Matsui, S Xie, S Lang, M Zhang, DO Starr, and X Li. 2011. "Estimating the ice crystal enhancement factor in the tropics." Journal of the

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    Dependence of the Single-Scattering Properties of Small Ice Crystals on Idealized Shape Models Download a printable PDF Submitter: Um, J., University of Illinois, Urbana McFarquhar, G., University of Illinois, Urbana Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Um J and GM McFarquhar. 2011. "Dependence of the single-scattering properties of small ice crystals on idealized shape

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    Indirect Impact of Atmospheric Aerosols on an Ensemble of Deep Convective Clouds Download a printable PDF Submitter: Grabowski, W., NCAR Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Grabowski WW and H Morrison. 2011. "Indirect impact of atmospheric aerosols in idealized simulations of convective-radiative quasi-equilibrium. Part II: Double-moment microphysics." Journal of

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    Atmospheric Moistening by Clouds Sustains Madden-Julian Oscillation Download a printable PDF Submitter: Hagos, S. M., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Life Cycle Journal Reference: N/A Outgoing longwave radiation (OLR Wm-2) signals in the tropics averaged between 10°S and 10°N from (a) a regional simulation with moisture constrained by observations and (b) NOAA-CPC satellite observations. The

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    Factors Influencing the Microphysics and Radiative Properties of Liquid-Dominated Arctic Clouds Download a printable PDF Submitter: Earle, M., Environment Canada Liu, P., Environment Canada Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Earle ME, PS Liu, JW Strapp, A Zelenyuk, D Imre, GM McFarquhar, NC Shantz, and WR Leaitch. 2011. "Factors influencing the microphysics and radiative properties of

  12. Research Highlight

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    Optical Properties of the 1997 TWP Smoke Event Submitter: Spinhirne, J., University of Arizona Area of Research: Radiation Processes Working Group(s): Radiative Processes Journal Reference: N/A Figure 1. MPL image showing evolution of early September, 1997 smoke event at Manus, TWP. Figure 2. Selected aerosol extinction cross section profiles at the ARM TWP site during 1997 showing progression of aerosol loading. Figure 3. Cloud-cleared optical measurements at the TWP site from July 27 to

  13. Research Highlight

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    New Surface Albedo Data Set Enables Improved Radiative Transfer Calculations Download a printable PDF Submitter: McFarlane, S. A., U.S. Department of Energy Area of Research: Surface Properties Working Group(s): Cloud Life Cycle Journal Reference: McFarlane SA, K Gaustad, E Mlawer, C Long, and J Delamere. 2011. "Development of a high spectral resolution surface albedo product for the ARM Southern Great Plains central facility." Atmospheric Measurement Techniques, 4, 1713-1733. Time

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    Snow Particle Observations in Arctic Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, P Zuidema, GM McFarquhar, A Bansemer, and AJ Heymsfield. 2011. "Microphysical observations in shallow mixed-phase and deep frontal Arctic cloud systems." Quarterly Journal Royal Meteorological Society, 137(659), doi:10.1002/qj.840. Fitted size distribution intercept

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    Understanding Ice Formation in Arctic Mixed-Phase Boundary-Layer Clouds During ISDAC Download a printable PDF Submitter: Ackerman, A., NASA - Goddard Institute for Space Studies Fridlind, A. M., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Avramov A, AS Ackerman, AM Fridlind, B van Diedenhoven, G Botta, K Aydin, J Verlinde, KV Alexei, W Strapp, GM McFarquhar, R

  16. Research Highlight

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    Influence of Humidified Aerosols on Lidar Depolarization Below Ice-Precipitating Arctic Clouds Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies van Diedenhoven, B., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: van Diedenhoven B, AM Fridlind, and AS Ackerman. 2011. "Influence of humidified aerosol on lidar depolarization measurements below

  17. Research Highlight

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    A Dance of Aerosols Download a printable PDF Submitter: Song, C., Pacific Northwest National Laboratory Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Song C, RA Zaveri, JE Shilling, ML Alexander, and M Newburn. 2011. "Effect of hydrophilic organic seed aerosols on secondary organic aerosol formation from ozonolysis of α-pinene." Environmental Science & Technology, 45(17), doi:10.1021/es201225c. The injection of alpha-pinene, a

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    Cloud-Top Humidity Inversions and the Maintenance of Arctic Mixed-Phase Stratocumulus Submitter: Solomon, A., NOAA/ESRL/Physical Sciences Division Shupe, M., University of Colorado Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Solomon A, MD Shupe, O Persson, and H Morrison. 2011. "Moisture and dynamical interactions maintaining decoupled Arctic mixed-phase stratocumulus in the presence of a humidity inversion." Atmospheric

  19. Research Highlight

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    Modeling the Sensitivity of Convection to Tropospheric Humidity Download a printable PDF Submitter: Del Genio, A. D., National Aeronautics and Space Administration Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Del Genio AD. 2011. "Representing the sensitivity of convective cloud systems to tropospheric humidity in general circulation models." Surveys in Geophysics, , doi:10.1007/s10712-011-9148-9.

  20. Research Highlight

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    Intercomparison of Model Simulations of Arctic Mixed-Phase Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, P Zuidema, AS Ackerman, A Avramov, G de Boer, J Fan, AM Fridlind, T Hashino, JY Harrington, Y Luo, M Ovchinnikov, and B Shipway. 2011. "Intercomparison of cloud model simulations of Arctic mixed-phase boundary layer clouds observed during

  1. Research Highlight

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    The Birth of a Cloud Droplet Download a printable PDF Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Ghan SJ, H Abdul-Razzak, A Nenes, Y Ming, X Liu, M Ovchinnikov, B Shipway, N Meskhidze, J Xu, and X Shi. 2011. "Droplet nucleation: Physically-based parameterizations and comparative evaluation." Journal of Advances

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    TOA Radiation Budget of Convective Core/Stratiform Rain/Anvil Clouds from Deep Convection Download a printable PDF Submitter: Feng, Z., Pacific Northwest National Laboratory Dong, X., University of Arizona Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Feng Z, XQ Dong, BK Xi, C Schumacher, P Minnis, and M Khaiyer. 2011. "Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective

  3. Research Highlight

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    Simulating the Impact of Aerosols on Tropical Deep Convection Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Morrison H and WW Grabowski. 2011. "Cloud-system resolving model simulations of aerosol indirect effects on tropical deep convection and its thermodynamic environment." Atmospheric Chemistry and Physics, 11(20),

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    Millimeter Wave Scattering from Ice Crystals and Their Aggregates Download a printable PDF Submitter: Botta, G., Pennsylvania State University Verlinde, J., The Pennsylvania State University Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Botta G, K Aydin, J Verlinde, A Avramov, A Ackerman, A Fridlind, M Wolde, and G McFarquhar. 2011. "Millimeter wave scattering from ice crystals and their aggregates: Comparing cloud model simulations with X- and

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    Unraveling the Complexity of Arctic Mixed-Phase Clouds Download a printable PDF Submitter: Morrison, H. C., NCAR Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Morrison H, G de Boer, G Feingold, J Harrington, M Shupe, and K Sulia. 2011. "Resilience of persistent Arctic mixed-phase clouds." Nature Geoscience, 5, doi:10.1038/ngeo1332. A conceptual model that illustrates the primary processes and basic physical structure of persistent Arctic

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    Trends in Downwelling Longwave Radiation over SGP Download a printable PDF Submitter: Gero, J., University of Wisconsin Turner, D. D., National Oceanic and Atmospheric Administration Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Gero P and DD Turner. 2011. "Long-term trends in downwelling spectral infrared radiance over the U.S. Southern Great Plains." Journal of Climate, 24(18),

  7. Research Highlight

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    Evaluation of Simulated Clouds and Radiation at the ARM Site Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Modeling Journal Reference: Ghan, S.J. and Leung, L.R., 1999: "A Comparison of Three Different Modeling Strategies for Evaluating Cloud and Radiation Parameterizations," Monthly Weather Review 127( 9): 1967-1984. Observed and Simulated Column Water Vapor Column

  8. Research Highlight

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    Clouds Get in the Way: How Climate Models Calculate the Effects of Clouds on Earth's Warming Download a printable PDF Submitter: Qian, Y., Pacific Northwest National Laboratory Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle Journal Reference: Qian Y, CN Long, H Wang, JM Comstock, SA McFarlane, and S Xie. 2012. "Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations."

  9. Research Highlight

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    Black Carbon Reduction of Snow Albedo Submitter: Kirchstetter, T. W., Lawrence Berkeley National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Hadley OL and TW Kirchstetter. 2012. "Black carbon reduction of snow albedo." Nature Climate Change, , doi:10.1038/nclimate1433. Spectrally weighted snow albedo over the 300-2,500 nm solar spectrum: derived from our experiments (dots, 1 standard deviation) and modelled using SNICAR

  10. Research Highlight

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    Cloud Boundary Detection and Analysis from Micro Pulse Lidar Submitter: Spinhirne, J., University of Arizona Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Properties Journal Reference: N/A Figure 1. A high resolution MPL image for 14 January 1998 during testing of MPL008 (NSA unit) at NASA-Goddard Space Flight Center. Figure 2. MPL overlap correction algorithm. Figure 3. Accompanying diagram to Figure 2 detailing overlap correction development. Figure 4. Cloud

  11. Research Highlight

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    Tropical Rain Clouds Still a Challenge to Cloud-Resolving Models Download a printable PDF Submitter: Fridlind, A. M., NASA - Goddard Institute for Space Studies Ackerman, A., NASA - Goddard Institute for Space Studies Area of Research: Cloud Distributions/Characterizations Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Fridlind AM, AS Ackerman, J Chaboureau, J Fan, WW Grabowski, AA Hill, TR Jones, MM Khaiyer, G Liu, P Minnis, H Morrison, L Nguyen,

  12. Research Highlight

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    Challenging Work: Observing in the Arctic Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES Area of Research: Radiation Processes Working Group(s): Cloud Life Cycle Journal Reference: Matsui N, CN Long, J Augustine, D Halliwell, T Uttal, D Longenecker, O Niebergall, J Wendell, and R Albee. 2012. "Evaluation of Arctic broadband surface radiation measurements." Atmospheric Measurement Techniques, 5, doi:10.5194/amt-5-429-2012. The Arctic is showing

  13. Research Highlight

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    Improved Simulation of Boundary Layer Clouds Submitter: Ghan, S. J., Pacific Northwest National Laboratory Area of Research: Atmospheric Thermodynamics and Vertical Structures Working Group(s): Cloud Properties Journal Reference: N/A Figure 1. Comparison of Boundary Layer Clouds Schemes in Climate Models with Satellite Observations Figure 1. Comparison of Boundary Layer Clouds Schemes in Climate Models with Satellite Observations Key Contributors: James McCaa, as part of his Ph.D. dissertation

  14. Research Highlight

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    Comparing Global Atmospheric Model Simulations of Tropical Convection Download a printable PDF Submitter: Lin, Y., Geophysical Fluid Dynamics Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: N/A Mean profiles of (first column) total precipitation normalized Q1, (second column) convective precipitation normalized convective heating, (third column) stratiform heating, and (fourth column) convective

  15. Research Highlight

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    Radiative-Dynamical Feedbacks in Thin Stratiform Clouds Download a printable PDF Submitter: Petters, J. L., Pennsylvania State University Area of Research: Radiation Processes Working Group(s): Cloud-Aerosol-Precipitation Interactions Journal Reference: Petters JL, JY Harrington, and EE Clothiaux. 2012. "Radiative-dynamical feedbacks in low liquid water path stratiform clouds." Journal of the Atmospheric Sciences, 69(5), 10.1175/JAS-D-11-0169.1. Large-eddy simulation time series output

  16. Research Highlight

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    Mexico City Carbon-Containing Particle Composition Simulated Download a printable PDF Submitter: Zaveri, R., Pacific Northwest National Laboratory Area of Research: Radiation Processes Working Group(s): Aerosol Life Cycle Journal Reference: Lee-Taylor J, S Madronich, B Aumont, M Camredon, A Hodzic, GS Tyndall, E Aperl, and RA Zaveri. 2012. "Explicit modeling of organic chemistry and secondary organic aerosol partitioning for Mexico City and its outflow plume." Atmospheric Chemistry and

  17. Research Highlight

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    CAM5 Shows Reasonable Aerosol First Indirect Effects on Non-Precipitating Low Liquid Clouds Download a printable PDF Submitter: Zhao, C., Beijing Normal University Klein, S., Lawrence Livermore National Laboratory Area of Research: Cloud-Aerosol-Precipitation Interactions Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: Zhao C, SA Klein, S Xie, X Liu, JS Boyle, and Y Zhang. 2012. "Aerosol first indirect effects on non-precipitating low-level

  18. Research Highlight

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    Many Forecast Errors Are Climate Errors Download a printable PDF Submitter: Xie, S., Lawrence Livermore National Laboratory Area of Research: General Circulation and Single Column Models/Parameterizations Working Group(s): Cloud Life Cycle Journal Reference: Xie S, H Ma, JS Boyle, SA Klein, and Y Zhang. 2012. "On the correspondence between short- and long-timescale systematic errors in CAM4/CAM5 for the years of tropical convection." Journal of Climate, 25(22),

  19. Research Highlight

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    Diurnal Cycle of Monsoon Clouds, Precipitation, and Surface Radiation Download a printable PDF Submitter: Long, C. N., NOAA Global Monitoring Division/CIRES May, P. T., Bureau of Meteorology Area of Research: Cloud Processes Working Group(s): Cloud Life Cycle, Cloud-Aerosol-Precipitation Interactions Journal Reference: May PT, CN Long, and A Protat. 2012. "The diurnal cycle of the boundary layer, convection, clouds, and surface radiation in a coastal monsoon environment (Darwin

  20. Research Highlight

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    Impact of Anthropogenic Emissions on Organic Aerosols During CARES Submitter: Zhang, Q., University of California, Davis Area of Research: Aerosol Processes Working Group(s): Aerosol Life Cycle Journal Reference: Setyan A, Q Zhang, M Merkel, WB Knighton, Y Sun, C Song, J Shilling, TB Onasch, S Herndon, D Worsnop, JD Fast, R Zaveri, LK Berg, A Wiedensohler, BA Flowers, MK Dubey, and R Subramanian. 2012. "Characterization of submicron particles influenced by mixed biogenic and anthropogenic