Dr. John Volk
Associate Research Scientist, Hydrology
E-Mail
Division
Hydrologic Sciences
Publications
2025
, , , , , & (2025). Multi-model intercomparison of the complementary relationship of evaporation across global environmental settings. Water Resources Research, 61(9), Article No.: e2024WR039740. 10.1029/2024W
, , , , , , , , , , , & (2025). Performance mapping and weighting for the evapotranspiration models of the OpenET ensemble. Water Resources Research, 61(8), Article No. e2024WR038899. https://doi.org/10.1029/2024WR038899
, , , & (2025). Value of microwave soil moisture and thermal-infrared evapotranspiration retrievals for the mapping of irrigation coverage. International Journal of Applied Earth Observation and Geoinformation, 143, Article No. 104773. https://doi.org/10.1016/j.jag.2025.104773
, , , , , , , , , , & (2025). Intercomparison of the US National Water Model with OpenET over the Bear River Basin, US. Journal of Hydrology, 656, Article No. 132826. 10.1016/j.hydrol.2025.132826
, , , , & (2025). gridwxcomp: A Python package to evaluate and interpolate biases between station and gridded weather data. Journal of Open Source Software, 10(105), Article No. 7178. https://doi.org/10.21105/joss.07178
, , , , & (2025). Assessment of OpenET Collection 2.0 Model Performance in the Upper Colorado River Basin, OpenET Technical Series, 006
2024
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2024). Assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications. Nature Water, 13 p. https://doi.org/10.1038/s44221-023-00181-7
, , , , , , , , , & (2024). Historical Evapotranspiration and Consumptive Use of Irrigated Areas of the Upper Colorado River Basin. Desert Research Institute: Las Vegas, NV, DRI Report No. 41304. http://dx.doi.org/10.13140/RG.2.2.31069.63206
, , , , , , , , , , , , , , , , , , & (2024). A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards. Agricultural and Forest Meteorology, 355, 110146. https://doi.org/10.1016/j.agrformet.2024.110146
2023
, , , , , , , , , , , , , , , , , & (2023). Development of a benchmark Eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS. Agricultural and Forest Meteorology, 331, 109307. Elsevier
, , , , , , , , , , , , , , , , , , , , , , , , , & (2023). Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset. Data in Brief, 48, Article No. 109274. https://doi.org/10.1016/j.dib.2023.109274
2022
, , , , & (2022). Evaporation from Lake Powell: In-situ Monitoring between 2018 and 2021. USBR, Technical Memorandum No. ENV-2023-007. https://doi.org/10.13140/RG.2.2.19477.19684
, , , , , , & (2022). Appendix G: Upper Colorado River Basin OpenET Intercomparison Summary, Technical Report prepared for U.S. Bureau of Reclamation.
, , , , , , , , , , , , , , , & (2022). OpenET: Filling a Critical Data Gap in Water Management. Western U.S. Journal of the American Water Resources Association
, , , , , , , , , & (2022). Evapotranspiration uncertainty at micrometeorological scales: The impact of the eddy covariance energy imbalance and correction methods. Irrigation Science, 40(4-5), 445-461. Springer Berlin Heidelberg Berlin/Heidelberg
& (2022). The influence of land-use and seasons on SOM distribution in headwaters of a central Ohio watershed. Authorea Preprints. Authorea
, , , , , , , , , & (2022). Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS. Irrigation Science, 40(4-5), 515-530. Springer Berlin Heidelberg Berlin/Heidelberg
, , , , , , & (2022). Appendix G: Upper Colorado River Basin OpenET Intercomparison Summary
2021
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2021). OpenET: Filling a Critical Data Gap in Water Management for the Western United States. JAWRA Journal of the American Water Resources Association. https://doi.org/10.1111/1752-1688.12956
, , , & (2021). Agricultural Evapotranspiration and Net Irrigation Water Requirements for the Upper Colorado River Basin: 2020 ET Demands Model Summary. Report summitted to United States Bureau of Reclamation.
, , , , , , & (2021). Appendix G: Upper Colorado River Basin OpenET Intercomparison Summary. . Report submitted to United States Bureau of Reclamation
, , , , , & (2021). flux-data-qaqc: A Python Package for Energy Balance Closure and Post-Processing of Eddy Flux Data. Journal of Open Source Software, 6(66), 3418
2020
, , , & (2020). Agricultural Evapotranspiration and Net Irrigation Water Requirements for the Upper Colorado River Basin: 2019 ET Demands Model Summary
, , , , & (2020). Evaporation Monitoring at Lahontan Reservoir, Nevada: 2014-2020 Data Collection Summary
2019
, , , , & (2019). Agricultural Evapotranspiration and Net Irrigation Water Requirements for the Upper Colorado River Basin: 2018 Model Result Summary
& (2019). PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures. Environmental Modelling & Software, 114, 152-165. Elsevier
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2019). Hillslope hydrology in global change research and earth system modeling. Water Resources Research, 55(2), 1737-1772. Wiley Online Library
2014
(2014). Potential effects of a warming climate on water resources within the Lehman and Baker Creek drainages, Great Basin National Park, Nevada. University of Nevada, Reno
2010
(2010). Spatial and Temporal Variations of Water Quality in a Recently Urbanized Watershed in Central Ohio
& (2010). The influence of land-use and seasons on SOM distribution in headwaters of a central Ohio watershed. Journal of Natural and Environmental Sciences, 1(2), 19-27. Academy Publications Inc.
Conference Proceedings
2025
, , , &
, , , & (2025). Inferring strong advection from surface flux equilibrium theory to diagnose surface energy balance. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025
, , , , , , , , , , , , , , , , , , , , , , , , & (2025). From Closure to Confidence: Using In Situ ET for Satellite Model Skill Assessment. AGU Chapman Conference on the Energy Balance Closure Problem: Boulder, Colorado
, , , , , , & (2025). Impacts of Energy Balance Non-Closure on Validating Evapotranspiration Products from a Multi-Source Thermal Data Fusion Framework on Google Earth Engine. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2025). OpenET: Supporting Sustainable Water Management with Satellite-based Evapotranspiration Data. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025
, , , , , , , , , , , , , , , , , , , , , , , , & (2025). From Closure to Confidence: Using In Situ ET for Satellite Model Skill Assessment. AGU Chapman Conference: Boulder, CO, September 15, 2025-September 19, 2025
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2025). OpenET: Supporting Sustainable Water Management with Earth Observations and Open Science, 567-574. World Environmental and Water Resources Congress 2025: Anchorage, AK, May 18, 2025-May 21, 2025
2024
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2024). OpenET: Applications of Evapotranspiration Data for Water Resources Management in the Western United States, 2023, H13D-07
https://ui.adsabs.harvard.edu/abs/2023AGUFM.H13D..07M
https://ui.adsabs.harvard.edu/abs/2023AGUFM.H13D..07M
, , , & (2024). Quantifying and mapping performance patterns of the OpenET remotely sensed evapotranspiration models. WaterSciCon24: St. Paul, MN, June 24, 2024-June 27, 2024
, , , , , , , , , , , , , , , , , , , , , , , , , , , & (2024). OpenET: Applications of Satellite-Based Evapotranspiration Data for Water Resources Management in the Western United States. Water Science Conference (WaterSciCon): St. Paul, MN, June 24, 2024-June 27, 2024, NASA NTRS Doc ID: 20240011985
, , , , , , , , , & (2024). Decreased Latency in Landsat Derived Evapotranspiration Products Using Machine Learning on Google Earth Engine, 3054-3057. IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Athens, Greece, July 7, 2024-July 12, 2024
2023
(2023). Lessons Learned from Harnessing Eddy Covariance Networks to Evaluate OpenET Remote Sensing Models. FLUXNET-ECN Seminar, October 23, 2023
2022
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2022). OpenET: Cloud-based Evapotranspiration Data for Water Management . AGU – Frontiers in Hydrology Meeting: San Juan, Puerto Rico, June 20, 2022-June 24, 2022
https://agu.confex.com/agu/hydrology22/meetingapp.cgi
https://agu.confex.com/agu/hydrology22/meetingapp.cgi
, , , , , , , , , & (2022). OpenET Satellite-based ET Intercomparisons with Ground-based Measurements: Phase II Results . Authorea
, , , , , , , , & (2022). Bias-corrected Crop Coefficients for Different Land Cover Types in the US Mid-South derived from Eddy Covariance Measurements and the gridMET Dataset, H55A-02. AGU Fall Meeting
2021
, , , , , , , & (2021). A machine learning approach to weighting the remotely sensed ET ensemble members of OpenET. AGU Fall Meeting: New Orleans, LA
, , , , , , , & (2021). A machine learning approach to weighting the remotely sensed ET ensemble members of OpenET, H53D-04. AGU Fall Meeting
2020
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2020). OpenET: Filling a Critical Gap in Water Data for the Western US. AGU: Virtual, December 1, 2020-December 17, 2020
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2020). OpenET: Enabling Science-Based Water Management through Open Data Services and User-Driven Design. AGU: Virtual, December 1, 2020-December 17, 2020
2017
, , , , , , , & (2017). Parameter estimation of nonlinear nitrate prediction model using genetic algorithm, 1893-1899. IEEE
2016
, , , , , & (2016). Parameter Optimization of a Hydrologic Model in a Snow-Dominated Basin Using a Modular Python Framework. American Geophysical Union Fall Meeting: San Francisco, CA, December 12, 2016-December 16, 2016
, , , , , , & (2016). A real-time web-based wildfire simulation system, 4964-4969. IEEE
, , , , , & (2016). Parameter optimization of a hydrologic model in a snow-dominated basin using a modular Python framework, H41B-1325. AGU Fall Meeting
2015
, , , , & (2015). Improving subsurface hydrology in Earth System Models, GC23G-1202. AGU Fall Meeting
, , , & (2015). Informing Hydrological Drought Response in Headwater Catchments Using Water Storage Estimated From GRACE: Storage-Flow Dynamics, H41F-1391. AGU Fall Meeting
2013
, , , , & (2013). Climate Change Impacts on the Lehman-Baker Creek Drainage in the Great Basin National Park. AGU, December 10, 2013
2009
(2009). SPATIAL AND TEMPORAL VARIATIONS IN SEDIMENT ORGANIC MATTER (SOM) FROM A STREAM DRAINING MIXED-USE LANDSCAPES. Geological Society of America North-Central Section – 43rd Annual Meeting, April 2, 2009-April 3, 2009
Other
2025
, , , , , , , , , , , & (2025). Performance maps, weights, and associated data sets for Version 2.0 of the OpenET evapotranspiration models for the Conterminous U.S., U.S. Geological Survey data release. https://doi.org/10.5066/P1HY5TUM
, , , , , & (2025). Post-processed flux data and visualization tools from FLUXNET2015 sites using the flux-data-qaqc Python package. Zenodo dataset. https://doi.org/10.5281/zenodo.15634375
2024
, , , , , , , , , , , , , , , , , , , , , , , , & (2024). Monthly OpenET Image Collections (v2.0) Summarized by 12-Digit Hydrologic Unit Codes, 2008-2023, U.S. Geological Survey data release. https://doi.org/10.5066/P13Y9HXJ
2023
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , & (2023). OpenET model data for assessing the accuracy of OpenET satellite-based evapotranspiration data to support water resource and land management applications. Zenodo dataset. https://doi.org/10.5281/zenodo.7636782
, , , , , , , , , , , , , , , , , , , , , , , , , , & (2023). Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset. Zenodo dataset. https://doi.org/10.5281/zenodo.7636782