Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry
Abstract
Increasing population and resource-intensive lifestyles are driving enhanced demands for clean water, food, and energy. In parallel, land-use change, climate change, and perturbations—including drought, floods, fires, and early snowmelt—are significantly reshaping interactions within watersheds throughout the world. While watersheds are the Earth's key functional unit for assessing and managing water resources, hydrological processes in watersheds also mediate biogeochemical interactions that support terrestrial life on Earth (Kaushal, Gold, Bernal, & Tank, 2018; National Research Council, 2012). Although society is dependent upon clean water availability, tractable prediction of watershed hydrobiogeochemical behavior, including watershed response to perturbations, remains a challenge. Central to the challenge are complex, multiscale interactions between plants, microorganisms, organic matter, minerals, dissolved constituents, and migrating fluids, which occur within and across bedrock-to-canopy compartments and along extensive lateral gradients of a watershed. Several recent community reports have synthesized formidable challenges associated with watershed science and technology (AGU, 2018; Blöschl et al., 2019). Here, we discuss emerging technologies and collaboration modes that are critical for developing generalizable insights about and predictive understanding of complex watershed hydrobiogeochemical behavior, which are important for underpinning optimized natural resource management.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1760257
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Hydrological Processes
- Additional Journal Information:
- Journal Volume: 34; Journal Issue: 15; Journal ID: ISSN 0885-6087
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Hubbard, Susan S., Varadharajan, Charuleka, Wu, Yuxin, Wainwright, Haruko, and Dwivedi, Dipankar. Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry. United States: N. p., 2020.
Web. doi:10.1002/hyp.13807.
Hubbard, Susan S., Varadharajan, Charuleka, Wu, Yuxin, Wainwright, Haruko, & Dwivedi, Dipankar. Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry. United States. https://doi.org/10.1002/hyp.13807
Hubbard, Susan S., Varadharajan, Charuleka, Wu, Yuxin, Wainwright, Haruko, and Dwivedi, Dipankar. Fri .
"Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry". United States. https://doi.org/10.1002/hyp.13807. https://www.osti.gov/servlets/purl/1760257.
@article{osti_1760257,
title = {Emerging technologies and radical collaboration to advance predictive understanding of watershed hydrobiogeochemistry},
author = {Hubbard, Susan S. and Varadharajan, Charuleka and Wu, Yuxin and Wainwright, Haruko and Dwivedi, Dipankar},
abstractNote = {Increasing population and resource-intensive lifestyles are driving enhanced demands for clean water, food, and energy. In parallel, land-use change, climate change, and perturbations—including drought, floods, fires, and early snowmelt—are significantly reshaping interactions within watersheds throughout the world. While watersheds are the Earth's key functional unit for assessing and managing water resources, hydrological processes in watersheds also mediate biogeochemical interactions that support terrestrial life on Earth (Kaushal, Gold, Bernal, & Tank, 2018; National Research Council, 2012). Although society is dependent upon clean water availability, tractable prediction of watershed hydrobiogeochemical behavior, including watershed response to perturbations, remains a challenge. Central to the challenge are complex, multiscale interactions between plants, microorganisms, organic matter, minerals, dissolved constituents, and migrating fluids, which occur within and across bedrock-to-canopy compartments and along extensive lateral gradients of a watershed. Several recent community reports have synthesized formidable challenges associated with watershed science and technology (AGU, 2018; Blöschl et al., 2019). Here, we discuss emerging technologies and collaboration modes that are critical for developing generalizable insights about and predictive understanding of complex watershed hydrobiogeochemical behavior, which are important for underpinning optimized natural resource management.},
doi = {10.1002/hyp.13807},
journal = {Hydrological Processes},
number = 15,
volume = 34,
place = {United States},
year = {Fri Jun 12 00:00:00 EDT 2020},
month = {Fri Jun 12 00:00:00 EDT 2020}
}
Works referenced in this record:
Estimating soil moisture using remote sensing data: A machine learning approach
journal, January 2010
- Ahmad, Sajjad; Kalra, Ajay; Stephen, Haroon
- Advances in Water Resources, Vol. 33, Issue 1
Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model: INFLUENCE OF GROUNDWATER DYNAMICS ON LAND
journal, February 2008
- Kollet, Stefan J.; Maxwell, Reed M.
- Water Resources Research, Vol. 44, Issue 2
Hot Spots and Hot Moments of Nitrogen in a Riparian Corridor
journal, January 2018
- Dwivedi, Dipankar; Arora, Bhavna; Steefel, Carl I.
- Water Resources Research, Vol. 54, Issue 1
Growing new generations of critical zone scientists: MULTIGENERATIONAL CRITICAL ZONE SCIENCE
journal, July 2017
- Wymore, Adam S.; West, Nicole R.; Maher, Kate
- Earth Surface Processes and Landforms, Vol. 42, Issue 14
Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
journal, January 2016
- Park, Seonyoung; Im, Jungho; Jang, Eunna
- Agricultural and Forest Meteorology, Vol. 216
Expanding the role of reactive transport models in critical zone processes
journal, February 2017
- Li, Li; Maher, Kate; Navarre-Sitchler, Alexis
- Earth-Science Reviews, Vol. 165
A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists
journal, November 2018
- Shen, Chaopeng
- Water Resources Research, Vol. 54, Issue 11
The US Long Term Ecological Research Program
journal, January 2003
- Hobbie, John E.; Carpenter, Stephen R.; Grimm, Nancy B.
- BioScience, Vol. 53, Issue 1
Reactive Transport at the Crossroads
journal, September 2019
- Steefel, Carl I.
- Reviews in Mineralogy and Geochemistry, Vol. 85, Issue 1
A Network of Terrestrial Environmental Observatories in Germany
journal, January 2011
- Zacharias, Steffen; Bogena, Heye; Samaniego, Luis
- Vadose Zone Journal, Vol. 10, Issue 3
Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design
journal, August 2013
- Li, Xin; Cheng, Guodong; Liu, Shaomin
- Bulletin of the American Meteorological Society, Vol. 94, Issue 8
Temporal Information Partitioning Networks (TIPNets): A process network approach to infer ecohydrologic shifts: INFORMATION PARTITIONING NETWORKS
journal, July 2017
- Goodwell, Allison E.; Kumar, Praveen
- Water Resources Research, Vol. 53, Issue 7
Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LiDAR and machine learning: OPTIMIZING SNOW SENSOR PLACEMENTS
journal, October 2016
- Oroza, Carlos A.; Zheng, Zeshi; Glaser, Steven D.
- Water Resources Research, Vol. 52, Issue 10
Scaling, similarity, and the fourth paradigm for hydrology
journal, January 2017
- Peters-Lidard, Christa D.; Clark, Martyn; Samaniego, Luis
- Hydrology and Earth System Sciences, Vol. 21, Issue 7
Time-lapse monitoring of root water uptake using electrical resistivity tomography and mise-à-la-masse: a vineyard infiltration experiment
journal, January 2020
- Mary, Benjamin; Peruzzo, Luca; Boaga, Jacopo
- SOIL, Vol. 6, Issue 1
The European Water Framework Directive at the age of 10: A critical review of the achievements with recommendations for the future
journal, September 2010
- Hering, Daniel; Borja, Angel; Carstensen, Jacob
- Science of The Total Environment, Vol. 408, Issue 19
HydroShare: Sharing Diverse Environmental Data Types and Models as Social Objects with Application to the Hydrology Domain
journal, October 2015
- Horsburgh, Jeffery S.; Morsy, Mohamed M.; Castronova, Anthony M.
- JAWRA Journal of the American Water Resources Association, Vol. 52, Issue 4
Toward Exascale Earthquake Ground Motion Simulations for Near-Fault Engineering Analysis
journal, January 2017
- Johansen, Hans; Rodgers, Arthur; Petersson, N. Anders
- Computing in Science & Engineering, Vol. 19, Issue 5
Flood Prediction Using Machine Learning Models: Literature Review
journal, October 2018
- Mosavi, Amir; Ozturk, Pinar; Chau, Kwok-wing
- Water, Vol. 10, Issue 11
Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington
journal, October 2010
- Slater, Lee D.; Ntarlagiannis, Dimitrios; Day‐Lewis, Frederick D.
- Water Resources Research, Vol. 46, Issue 10
Coincident aboveground and belowground autonomous monitoring to quantify covariability in permafrost, soil, and vegetation properties in Arctic tundra: ABOVEGROUND AND BELOWGROUND CODYNAMICS
journal, June 2017
- Dafflon, Baptiste; Oktem, Rusen; Peterson, John
- Journal of Geophysical Research: Biogeosciences, Vol. 122, Issue 6
Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado
journal, January 2019
- Varadharajan, Charuleka; Faybishenko, Boris; Henderson, Amanda
- IEEE Access, Vol. 7
Climate-vegetation-soil interactions and long-term hydrologic partitioning: signatures of catchment co-evolution
journal, January 2013
- Troch, P. A.; Carrillo, G.; Sivapalan, M.
- Hydrology and Earth System Sciences, Vol. 17, Issue 6
Identifying multiscale zonation and assessing the relative importance of polygon geomorphology on carbon fluxes in an Arctic tundra ecosystem: ZONATION APPROACH IN AN ARCTIC ECOSYSTEM
journal, April 2015
- Wainwright, Haruko M.; Dafflon, Baptiste; Smith, Lydia J.
- Journal of Geophysical Research: Biogeosciences, Vol. 120, Issue 4
Catchment chemostasis revisited: Water quality responds differently to variations in weather and climate
journal, September 2019
- Godsey, Sarah E.; Hartmann, Jens; Kirchner, James W.
- Hydrological Processes, Vol. 33, Issue 24
A Review of Methods for Fibre-Optic Distributed Chemical Sensing
journal, June 2019
- Lu, Xin; Thomas, Peter James; Hellevang, Jon Oddvar
- Sensors, Vol. 19, Issue 13
A New Machine‐Learning Approach for Classifying Hysteresis in Suspended‐Sediment Discharge Relationships Using High‐Frequency Monitoring Data
journal, June 2018
- Hamshaw, Scott D.; Dewoolkar, Mandar M.; Schroth, Andrew W.
- Water Resources Research, Vol. 54, Issue 6
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
journal, June 2016
- Fatichi, Simone; Vivoni, Enrique R.; Ogden, Fred L.
- Journal of Hydrology, Vol. 537
The future of Earth observation in hydrology
journal, January 2017
- McCabe, Matthew F.; Rodell, Matthew; Alsdorf, Douglas E.
- Hydrology and Earth System Sciences, Vol. 21, Issue 7
Managing complexity in simulations of land surface and near-surface processes
journal, April 2016
- Coon, Ethan T.; David Moulton, J.; Painter, Scott L.
- Environmental Modelling & Software, Vol. 78
Field-scale model for the natural attenuation of uranium at the Hanford 300 Area using high-performance computing: MODEL FOR NATURAL ATTENUATION OF URANIUM
journal, September 2010
- Hammond, Glenn E.; Lichtner, Peter C.
- Water Resources Research, Vol. 46, Issue 9
Understanding watershed hydrogeochemistry: 1. Development of RT-Flux-PIHM: DEVELOPMENT OF RT-FLUX-PIHM
journal, March 2017
- Bao, Chen; Li, Li; Shi, Yuning
- Water Resources Research, Vol. 53, Issue 3
The East River, Colorado, Watershed: A Mountainous Community Testbed for Improving Predictive Understanding of Multiscale Hydrological–Biogeochemical Dynamics
journal, January 2018
- Hubbard, Susan S.; Williams, Kenneth Hurst; Agarwal, Deb
- Vadose Zone Journal, Vol. 17, Issue 1
Climate and vegetation water use efficiency at catchment scales
journal, July 2009
- Troch, Peter A.; Martinez, Guillermo F.; Pauwels, Valentijn R. N.
- Hydrological Processes, Vol. 23, Issue 16
An Analysis of Water Data Systems to Inform the Open Water Data Initiative
journal, April 2016
- Blodgett, David; Read, Emily; Lucido, Jessica
- JAWRA Journal of the American Water Resources Association, Vol. 52, Issue 4
Reactive transport codes for subsurface environmental simulation
journal, September 2014
- Steefel, C. I.; Appelo, C. A. J.; Arora, B.
- Computational Geosciences, Vol. 19, Issue 3
Deep learning and process understanding for data-driven Earth system science
journal, February 2019
- Reichstein, Markus; Camps-Valls, Gustau; Stevens, Bjorn
- Nature, Vol. 566, Issue 7743
Adaptive Mesh Refinement for Finite-Difference Ocean Models: First Experiments
journal, June 1999
- Blayo, Eric; Debreu, Laurent
- Journal of Physical Oceanography, Vol. 29, Issue 6
Distributed Optical Fiber Current Sensor Based on Magnetostriction in OFDR
journal, October 2015
- Ding, Zhenyang; Du, Yang; Liu, Tiegen
- IEEE Photonics Technology Letters, Vol. 27, Issue 19
Data Science of the Natural Environment: A Research Roadmap
journal, August 2019
- Blair, Gordon S.; Henrys, Peter; Leeson, Amber
- Frontiers in Environmental Science, Vol. 7
A review on optical fiber sensors for environmental monitoring
journal, January 2018
- Joe, Hang-Eun; Yun, Huitaek; Jo, Seung-Hwan
- International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 5, Issue 1
Machine learning for data-driven discovery in solid Earth geoscience
journal, March 2019
- Bergen, Karianne J.; Johnson, Paul A.; de Hoop, Maarten V.
- Science, Vol. 363, Issue 6433
Wavelet-based local mesh refinement for rainfall–runoff simulations
journal, April 2020
- Özgen-Xian, Ilhan; Kesserwani, Georges; Caviedes-Voullième, Daniel
- Journal of Hydroinformatics, Vol. 22, Issue 5
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
journal, January 2018
- Kratzert, Frederik; Klotz, Daniel; Brenner, Claire
- Hydrology and Earth System Sciences, Vol. 22, Issue 11
The FAIR Guiding Principles for scientific data management and stewardship
journal, March 2016
- Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan
- Scientific Data, Vol. 3, Issue 1
Quantifying and relating land-surface and subsurface variability in permafrost environments using LiDAR and surface geophysical datasets
journal, December 2012
- Hubbard, S. S.; Gangodagamage, C.; Dafflon, B.
- Hydrogeology Journal, Vol. 21, Issue 1
Diverse water quality responses to extreme climate events: an introduction
journal, November 2018
- Kaushal, Sujay S.; Gold, Arthur J.; Bernal, Susana
- Biogeochemistry, Vol. 141, Issue 3
OZCAR: The French Network of Critical Zone Observatories
journal, January 2018
- Gaillardet, J.; Braud, I.; Hankard, F.
- Vadose Zone Journal, Vol. 17, Issue 1
Designing a network of critical zone observatories to explore the living skin of the terrestrial Earth
journal, January 2017
- Brantley, Susan L.; McDowell, William H.; Dietrich, William E.
- Earth Surface Dynamics, Vol. 5, Issue 4
On Methods for In-Well Nitrate Monitoring Using Optical Sensors
journal, November 2017
- MacDonald, Graeme; Levison, Jana; Parker, Beth
- Groundwater Monitoring & Remediation, Vol. 37, Issue 4
Time-lapse surface wave monitoring of permafrost thaw using distributed acoustic sensing and a permanent automated seismic source
conference, August 2017
- Ajo-Franklin, Jonathan; Dou, Shan; Daley, Thomas
- SEG Technical Program Expanded Abstracts 2017
Sensors in the Stream: The High-Frequency Wave of the Present
journal, September 2016
- Rode, Michael; Wade, Andrew J.; Cohen, Matthew J.
- Environmental Science & Technology, Vol. 50, Issue 19
Exascale applications: skin in the game
journal, January 2020
- Alexander, Francis; Almgren, Ann; Bell, John
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 378, Issue 2166
Hyper-resolution global hydrological modelling: what is next?: “Everywhere and locally relevant”
journal, December 2014
- Bierkens, Marc F. P.; Bell, Victoria A.; Burek, Peter
- Hydrological Processes, Vol. 29, Issue 2
Big Data and cloud computing: innovation opportunities and challenges
journal, July 2016
- Yang, Chaowei; Huang, Qunying; Li, Zhenlong
- International Journal of Digital Earth, Vol. 10, Issue 1
Toward Better Understanding of Terrestrial Processes through Long-Term Hydrological Observatories
journal, January 2018
- Bogena, H. R.; White, T.; Bour, O.
- Vadose Zone Journal, Vol. 17, Issue 1
Does Information Theory Provide a New Paradigm for Earth Science? Hypothesis Testing
journal, February 2020
- Nearing, Grey S.; Ruddell, Benjamin L.; Bennett, Andrew R.
- Water Resources Research, Vol. 56, Issue 2
Deep learning in neural networks: An overview
journal, January 2015
- Schmidhuber, Jürgen
- Neural Networks, Vol. 61
Overpumping leads to California groundwater arsenic threat
journal, June 2018
- Smith, Ryan; Knight, Rosemary; Fendorf, Scott
- Nature Communications, Vol. 9, Issue 1
Twenty-three unsolved problems in hydrology (UPH) – a community perspective
journal, July 2019
- Blöschl, Günter; Bierkens, Marc F. P.; Chambel, Antonio
- Hydrological Sciences Journal, Vol. 64, Issue 10
Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management
journal, March 2019
- Murphy, Jennifer; Sprague, Lori
- Science of The Total Environment, Vol. 656
The AmeriFlux network: A coalition of the willing
journal, February 2018
- Novick, K. A.; Biederman, J. A.; Desai, A. R.
- Agricultural and Forest Meteorology, Vol. 249
Watershed Reactive Transport
journal, September 2019
- Li, Li
- Reviews in Mineralogy and Geochemistry, Vol. 85, Issue 1
Works referencing / citing this record:
Women advancing research on hydrological processes: Preface
text, January 2021
- Tetzlaff, Doerthe; Boyer, Elizabeth; Doody, Tanya M.
- Humboldt-Universität zu Berlin