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Title: ASCEM Data Brower (ASCEMDB) v0.8


Data management tool designed for the Advanced Simulation Capability for Environmental Management (ASCEM) framework. Distinguishing features of this gateway include: (1) handling of complex geometry data, (2) advance selection mechanism, (3) state of art rendering of spatiotemporal data records, and (4) seamless integration with a distributed workflow engine.

Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Contributing Org.:
OSTI Identifier:
Report Number(s):
ASCEMDB v.0.8; 005243WKSTN00
R&D Project: EY4049110; 2017-014
DOE Contract Number:
Resource Type:
Software Revision:
Software Package Number:
Software CPU:
Open Source:
Source Code Available:
Country of Publication:
United States

Citation Formats

ROMOSAN, ALEXANDRU. ASCEM Data Brower (ASCEMDB) v0.8. Computer software. Vers. 00. USDOE. 25 Apr. 2017. Web.
ROMOSAN, ALEXANDRU. (2017, April 25). ASCEM Data Brower (ASCEMDB) v0.8 (Version 00) [Computer software].
ROMOSAN, ALEXANDRU. ASCEM Data Brower (ASCEMDB) v0.8. Computer software. Version 00. April 25, 2017.
title = {ASCEM Data Brower (ASCEMDB) v0.8, Version 00},
abstractNote = {Data management tool designed for the Advanced Simulation Capability for Environmental Management (ASCEM) framework. Distinguishing features of this gateway include: (1) handling of complex geometry data, (2) advance selection mechanism, (3) state of art rendering of spatiotemporal data records, and (4) seamless integration with a distributed workflow engine.},
url = {},
doi = {},
year = {Tue Apr 25 00:00:00 EDT 2017},
month = {Tue Apr 25 00:00:00 EDT 2017},
note =

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  • This package contains documentation of the Flexible Regional Emissions Data System (FREDS) for the 1980 NAPAP Emissions Inventory, FREDS source code, allocation factor files, and peripheral data files. FREDS extracts emissions data, pertinent modeling parameters (e.g., stack height, exhaust-gas temperature, etc.) and source-identification information from Emissions Inventory System (EIS) Master File records or preprocessed Statistical Analysis System (SAS) files and applies appropriate temporal, spatial, and pollutant-species allocation factors to derive a gridded, speciated, and temporally resolved emissions file suitable as input to regional scale atmospheric simulation models (such as the Regional Acid Deposition and Regional Oxidant Models). FREDS consists ofmore » five main modules which are used to apply allocation-factors to the annual emissions data, plus peripheral software used to ensure the quality of and maintain the allocation factor files. Separate programs are used to process point and area sources. Each module requires a user-defined control-options file. The five primary modules are the Model Data Extraction Module (MDEM), the Temporal Allocation Module (TAM), the Speciation Module (SM), the Spatial Allocation Module (SAM), and the Model Input Preprocessor (MIP). To maximize flexibility, FREDS allows the user to define and assign emissions of up to 15 pollutants (referenced by SAROAD code), the temporal scenario, spatial grid origin and grid cell size, and the number and relationship of pollutant subspecies. FREDS' modules are written in the language of the Statistical Analysis System...Software Description: The model is written in the SAS programming language for implementation on a IBM 3090 Computer using the OS/TSO operating system. Memory requirement is 1536 K bytes.« less
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  • In this experiential paper we report on lessons learned during the development ofthe data acquisition software for the IceCube project - specifically, how to effectively address the unique challenges presented by a distributed, collaborative, multi-institutional, multi-disciplined project such as this. While development progress in software projects is often described solely in terms of technical issues, our experience indicates that non- and quasi-technical interactions play a substantial role in the effectiveness of large software development efforts. These include: selection and management of multiple software development methodologies, the effective useof various collaborative communication tools, project management structure and roles, and the impactmore » and apparent importance of these elements when viewed through the differing perspectives of hardware, software, scientific and project office roles. Even in areas clearly technical in nature, success is still influenced by non-technical issues that can escape close attention. In particular we describe our experiences on software requirements specification, development methodologies and communication tools. We make observations on what tools and techniques have and have not been effective in this geographically disperse (including the South Pole) collaboration and offer suggestions on how similarly structured future projects may build upon our experiences.« less
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  • No abstract prepared.

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