Dr. Justin L. Huntington
Justin Huntington is an associate research professor of Hydrology at the Desert Research Institute, Reno, Nevada. His research interests are focused on remote sensing, land surface energy balance measurement and modeling, drought monitoring, and hydrologic modeling. His projects are primarily being funded by the U.S. Bureau of Reclamation, U.S. Geological Survey, U.S. Bureau of Land Management, NASA, and Google. He is one of 25 members of the Landsat Science Team.
Research Areas of Interest
- Soil, water, plant and atmospheric interactions and feedbacks
- Remote sensing of vegetation andevapotranspiration
- Irrigation water requirements
- Surface and groundwater interactions
- Climate change impacts on water resources
- Groundwater recharge
- Isotope hydrology and chemical tracing
- Water rights
Recent Published Papers, Book Chapters, and Reports, *=Graduate Student Author
|Huntington, J., Hegewisch, K., Daudert, B., Morton, C., Abatzoglou, J., McEvoy, D., and T., Erickson. (in revision). Climate Engine: Cloud Computing of Climate and Remote Sensing Data for Enhanced Natural Resource Monitoring and Process Understanding. Bulletin of the American Meteorological Society, submitted October 11, 2016. Paperfigures - examples.|
|Snyder, K., Wehan, B., Filippa, G., Huntington, J., Stringham, T., and D. Snyder, (2016). Extracting Plant Phenology Metrics in a Great Basin Watershed: Methods and Considerations for Quantifying Phenophases in a Cold Desert. Sensors,16(11), 1948|
|Crago, R., Szilagyi, J., Qualls, R., and J. Huntington, (2016). A Rescaling of the Complementary Relationship for Land Surface Evaporation. Water Resources Research,52(11), 8461-8471.|
|Friedrich, K., Grossman, R., Huntington, J., Blanken, P., Lenters, J., Holman, K., Gochis, D., Livneh, B., Prairie, J., Skeie, E., Healey, N., Dahm, K., Pearson, C., Finnessey, T., Hook, S., and T. Kowalski, (in revision). Reservoir Evaporation in the Western United States: Current Science, Challenges, and Future Needs.Bulletin of the American Meteorological Society.|
|Carroll, R., Huntington, J., Snyder, K., Niswonger, R., Morton, C., and T. Stringham, (2017). Evaluating Mountain Meadow Groundwater Response to Pinyon-Juniper and Temperature in a Great Basin Watershed. Ecohydrology, 10:e1792. doi:10.1002/eco.1792|
|Hobbins, M., and J. Huntington, (2016). Evapotranspiration and Evaporative Demand.In book: Handbook of Applied Hydrology, Edition: 2nd Edition, Chapter: 42, Editors: Vijay P. Singh, pp.42.1 - 42.18McGraw-Hill Publishing: New York.|
|Huntington, J., McGwire, K., Morton, C., Snyder, K., Peterson, S., Erickson, T., Niswonger, R., Carroll, R., *Smith, G., and R. Allen, (2016). Assessing the Role of Climate and Resource Management on Groundwater Dependent Ecosystem Changes in Arid Environments with the Landsat Archive. Remote Sensing of Environment.|
|*McEvoy, D.,Huntington, J., Hobbins, M., Wood, A., Morton, C., Anderson, M., and C. Hain, (2016). The Evaporative Demand Drought Index: Part II - CONUS-wide Assessment Against Common Drought Indicators. Journal of Hydrometeorology.|
|Hobbins, M., Wood, A., *McEvoy, D., Huntington, J., Morton, C., Anderson, M., and C. Hain,(2016). The Evaporative Demand Drought Index: Part I - Linking Drought Evolution to Variations in Evaporative Demand. Journal of Hydrometeorology.|
|McEvoy, D.J., Huntington, J.L., Mejia, J.F., and M.T. Hobbins, (2016). Improved Seasonal Drought Forecasts using Reference Evapotranspiration Anomalies, Geophysical Research Letters, 42,doi:10.1002/2015GL067009|
|Drozdoff, L., Ensminger, J., Barbee, J., Boyle, D., Walker, M., Huntington, J., and C. Cage. (2015). Nevada Drought Forum: Recommendations Report Presented to Governor Brian Sandoval, 281 p.|
|Huntington, J.L., Gangopadhyay, S., Spears, M., Allen, R. King, D., Morton, C., Harrison, A., McEvoy, D., and A. Joros, (2015). West-Wide Climate Risk Assessments: Irrigation Demand and Reservoir Evaporation Projections.U.S. Bureau of Reclamation, Technical memorandum No. 68-68210-2014-01, 196p., 841 app,http://www.usbr.gov/watersmart/wcra/||
|*Liebert, R.,Huntington, J.L., Morton, C., *Sueki, S., and K. Acharya, (2015). Estimating Water Salvage from Leaf Beetle Induced Tamarisk Defoliation in the Lower Virgin River Using Satellite Based Energy Balance.Journal of Ecohydrology. DOI:10.1002/eco.1623|
|*Sueki, S., Acharya, K.,Huntington, J.L., *Liebert, R., Healey, J., Jasoni, R., and M. Young, (2015). Defoliation Effect of Tamarisk Biocontrol agent,Diorhabda carinulata, on Evapotranspiration and Groundwater Levels.Journal of Ecohydrology. DOI:10.1002/eco.1604|
|Carroll, R., Pohll, G., Morton, C., and J.L.,Huntington, (2015). Calibrating Basin-Scale Groundwater Models to Remotely Sensed Estimates of Groundwater Evapotranspiration.Journal of the American Water Resources Association. DOI:10.1111/jawr.12285|
Roy, D. P., Wulder, M. A., Loveland, T. R., Woodcock, C. E., Allen, R. G., Anderson, M. C., Huntington, J., Justice, C. O., Kilic, A. Kovalskyy V., Lee Z. P., Lymburner L.,J. Masek,J. McCorkel, Shuai Y., Trezza R., Vogelmann J., Wynne R.H., and Zhu Z. (2014). Landsat-8: Science and product vision for terrestrial global change research.Remote Sensing of Environment, 145: 154-172.
|Mejia, J.F., Niswonger, R.G., and J.L. Huntington. (2014). Uncertainty Transfer in Modeling Layers: From GCM to downscaling to hydrologic surface-groundwater modeling.Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA.ISBN: 978-88-9035-744-2|
|*McEvoy, D.J., Mejia, J.F., and J.L.Huntington. (2014). Use of an Observation Network in the Great Basin to Evaluate Gridded Climate Data. Journal of Hydrometeorology, 15, 19131931. doi:10.1175/JHM-D-14-0015.1|
|*Beamer, J.P., J.L.Huntington, C.G. Morton, and G.M. Pohll. (2013). Estimating Annual Groundwater Evapotranspiration from Phreatophytes in the Great Basin Using Landsat and Flux Tower Measurements. Journal of the American Water Resources Association (JAWRA) 49(3): 518-533. DOI: 10.1111/jawr.12058|
|*Morton, C.G., J.L.Huntington, G.M. Pohll, R.G. Allen, K.C. McGwire, and S.D. Bassett. (2013). Assessing Calibration Uncertainty and Automation for Estimating Evapotranspiration from Agricultural Areas Using METRIC. Journal of the American Water Resources Association (JAWRA) 49(3): 549-562.DOI: 10.1111/jawr.12054|
|Allen, R.G., B. Burnett, W. Kramber, J.Huntington, J. Kjaersgaard, A. Kilic, C. Kelly, and R. Trezza. (2013). Automated Calibration of the METRIC-Landsat Evapotranspiration Process. Journal of the American Water Resources Association (JAWRA) 49(3): 563-576. DOI: 10.1111/jawr.12056|
|Huntington, J.L., R.G. Niswonger, S. Rajagopal, Y. Zhang, M. Gardner, C.G. Morton, D. M. Reeves, D. McGraw, G.M. Pohll. (2013). Integrated Hydrologic Modeling of Lake Tahoe and Martis Valley Mountain Block and Alluvial Systems, Nevada and California. Proceedings Paper, MODFLOW and More 2013, June 2-5, 2013, Golden, Colorado, 5 pp.|
|*Jaksa, W., Shridhar, V.,Huntington, J.L. (2013). Evaluation of the Complementary Relationship using Noah Land Surface Model and North American Regional Reanalysis (NARR) Data to Estimate Evapotranspiration in Semiarid Ecosystems.Journal of Hydrometeorology, doi: 10.1175/JHM-D-11-067.1.|
|*McEvoy, D.J., J.L.,Huntington, J. Abatzoglou, L. Edwards. (2012). An Evaluation of Multi-scalar Drought Indices in Nevada and Eastern California.Earth Interactions, 16, 1-18.|
|Huntington, J.L. and R.G. Niswonger. (2012). Role of surface-water and groundwater interactions on projected summertime streamflow in snow dominated regions: An integrated modeling approach,Water Resources Research, 48, W11524, doi:10.1029/2012WR012319.|
|Mejia, J.,Huntington, J.L., *Hatchett, B., D. Koracin, R. Niswonger. (2012). Linking Global Climate Models to an Integrated Hydrologic Model Using an Individual Station Downscaling Approach.Journal of Contemporary Water Research and Education.147:1, 17-27.|
|Irmak, A., Allen, R., Kjaersgaard, J.L.,Huntington, J., Kamble, B., Trezza, R., Ratcliffe, I. (2012).Operational Remote sensing of ET and Challenges.Remote Sensing and Modeling. ed. InTech. ISBN:978-953-307-808-3.|
|Huntington, J.L., J. Szilagyi, S. Tyler, G. Pohll. (2011). Evaluating the Complementary Relationship for Estimating Evapotranspiration from Arid Shrublands.Water Resources Research. 47, W05533, doi:10.1029/2010WR009874.|
|Huntington, J.L. and *D. McEvoy. (2011). Climatological Estimates of Open Water Evaporation from Selected Truckee and Carson River Basin Water Bodies, California and Nevada.Desert Research Institute Publication No. 41254.|
|Huntington, J.L. andR. Allen. (2010). Evapotranspiration and Net Irrigation Water Requirements for Nevada.Nevada State Engineers Office Publication, 266 pp.|
|Groeneveld, D.P., J.L.Huntington, D.D. Barz. (2010). Floating Brine Crusts, Reduction of Evaporation, and Possible Replacement of Fresh Water to Control Dust from Owens Lakebed, California.Journal of Hydrology. 392:211-218.|
|*Epstein, B.J., G.M., Pohll, J.L.Huntington, R.H. Carrol. (2010). Development and Uncertainty Analysis of an Empirical Recharge Prediction Model for Nevadas Desert Basins.Journal of the Nevada Water Resources Association. 5:1,1-22.|
|Allen R.G., Hendrickx, J., Bastiaanssen, W., Kjaersgaard, J., Irmak, A., J.L.Huntington,(2010). Status and Continuing Challenges in Operational Remote Sensing of Evapotranspiration.Proceedings PaperIRR10-9971, 5th National Decennial Irrigation Conference Sponsored jointly by ASABE and Irrigation Association, Phoenix, Arizona, December 5-8.|
|*Stevick E., G. Pohll, J.L.Huntington. (2005). Locating new production wells using a probabilistic based groundwater model.Journal of Hydrology. 303(1-4), pp 231-246.|
|*Morse, B. S., G. Pohll, J.L.Huntington, and R. Rodriguez Castillo. (2003). Stochastic capture zone analysis of an arsenic-contaminated well using the generalized likelihood uncertainty estimator (GLUE) methodology.Water Resources Research, 39(6), 1151, doi:10.1029/2002WR001470.|
Current Research Projects
USGS 2012-2017 Landsat Science Team Developing and Enhancing Landsat Derived ET and Surface Energy Products -Cooperator, USGS
Evapotranspiration (ET) from irrigation represents more than 80% of the consumption of freshwater in the western US. ET is a critical input to development of improved management systems for sustained use of the nations water resources, and the ability to quantify water consumption at the field scale is of enormous economic value to local, state and federal stakeholders. As part of the Landsat Science Team, we intend to develop, support development of, and utilize new applications of Landsat archive and LDCM (Landsat Data Continuity Mission) data sets, including surface reflectance, land surface temperature and cloud identification products, in routine, operational retrievals of ET. We will build on our experience and capacities to further develop current methods for producing spatial and temporal information on ET at the field scale. We intend to further develop and perfect means to handle large volumes of Landsat imagery in the archive for use in ET retrievals, including the automation of calibration of Surface Energy Balance and review of ET production processes. We will work towards complete integration of LDCM data with past and present Landsat data and remotely sensed data from other satellites, with the purpose of observing and monitoring national and global environmental systems, and in support of new applications, especially those involving the consumption of water. We will conduct scientific-based research with focus on supporting Landsat Science Team and USGS efforts to provide systematic, science-quality Landsat and related datasets that are consistent over the full 40+ year record of Landsat and that are well suited for supporting analyses and modeling of climate, hydrologic, and biological processes.
Development of a Reservoir Meteorological Network Cooperator, Bureau of Reclamation
The purpose of this project is to develop a buoy weather station network on reservoirs of interest, similar to agricultural weather networks. Weather over water is quite different than on land, and yet we are limited to land based weather to estimate evaporation from open water bodies. This research will aid in our understanding of open water evaporation and allow for the collection of benchmark datasets promoting and allowing for robust research centered on remote sensing of open water evaporation.
Open Water Evaporation Modeling Cooperator, Bureau of Reclamation & Truckee River Federal Water Master
Principle Investigator on a reservoir evaporation study for the Truckee-Carson basins. Historically, evaporation from lakes and reservoirs in the Truckee-Carson basins has been estimated using pan evaporation information, which is widely known to have significant uncertainty both in magnitude and timing. Reservoir operations and development of new storage and water accounting strategies require more accurate evaporation estimates. The objective of this study was to estimate mean monthly and mean annual net open water evaporation from lakes and reservoirs in the Truckee-Carson basins from 2000 to 2009 using available land-based weather data with a widely accepted approach that accurate on both a seasonal and annual basis.
Development of the Nevada Integrated Climate and Evapotranspiration Network NICE Net (www.nicenet.dri.edu) Cooperator, Bureau of Reclamation, Nevada Division of Water Resources
Co-PI and Project Manager for developing and managing Nevadas first agricultural weather network. With the exception of NICE Net stations, almost all weather stations in Nevada are located in dry, non-irrigated environments. The lack of water around the weather stations causes the air temperatures to be elevated and the humidity levels to be reduced when compared to the climate surrounding irrigated lands. This dry land aridity causes the computed reference evapotranspiration and estimated crop water demand to be in error by as much as 30% when compared to estimates derived from well irrigated climate data. Several federal, state, and local agencies across the western U.S. have recognized this fact and have developed their own irrigated agricultural weather networks. The NICE Net is the first weather station network focused on measuring and reporting climate derived in irrigated environments in Nevada. Currently, NICE Net consists of 18 agricultural weather station located throughout the state of Nevada (see map).
Remote Sensing of Evapotranspiration for Western Nevada Cooperator,U.S. Bureau of Reclamation, Nevada Division of Water Resources, State Engineers Office
The principal objective of this task is to produce accurate estimates of historical evapotranspiration (ET) for agricultural and other land uses in selected agricultural regions of northwest Nevada using the METRIC remote sensing ET algorithm. The METRIC approach will be utilized and enhanced by DRI to construct monthly and growing season ET maps for water resource and water rights management, and to assess seasonal ET by land use/land cover in the study area. DRI scientists are working in close collaboration with Dr. Richard Allen of the University of Idaho and the Nevada Division of Water Resources (NDWR) in applying and enhancing the METRIC approach to the Truckee, Walker and Carson River basins.
Nevada State Wide Irrigation Water Demand Modeling - Cooperator, Nevada Division of Water Resources, State Engineers Office
Principle Investigator on a Nevada state wide historical crop evapotranspiration and irrigation water demand study. Irrigation currently accounts for about 80% of total water withdrawals in Nevada. Accurate estimates of evapotranspiration (ET) from irrigated agriculture are becoming more important as increasing demands are placed on finite water supplies in Nevada and across the western U.S due to development and changing climate. Local, state, and federal water resource agencies require accurate estimates of crop ET and irrigation water requirements for evaluating basin water budgets, irrigation development, transfers of irrigation water for municipal use, and litigation of water right applications and protests. Nevada Division of Water Resources and Desert Research Institute have updated estimates of crop ET and basin water budgets throughout the state of Nevada, including the Truckee Basin. Updates were performed by developing and applying reference ET- crop coefficient- soil water balance and remote sensing models for estimating irrigation water requirements and actual historical crop ET, respectively.
Reservoir Meteorological Network -Cooperator,Desert Research Institute, U.S. Bureau of Reclamation, & Truckee Federal Water Master
Principle Investigator on a project focused towards developing a reservoir evaporation network in the Truckee Basin. This project entails deployment of a buoy weather station on Stampede Reservoir, Truckee Basin, to estimate evaporation using energy balance and aerodynamic methods. Evaporation estimates will be transferred in near real time to USBR and Federal Water Master offices to be used in reservoir and river operations and modeling. This information will also be used to develop empirical techniques for estimating climate change impacts on reservoir evaporation and aid in remote sensing evaporation.
Irrigation Water Demand Modeling - Cooperator, U.S. Bureau of Reclamation
Principle Investigator on a project focused on numerical modeling for water demands under climate change. The objective of this project is to further develop and utilize existing tools to better predict future crop water demands and reservoir evaporation under various climate change scenarios. The Desert Research Institute has developed unique numerical modeling that can be used to make these predictions and has shared the models with Reclamation to collaborate in the further development and application of the models to achieve the goals of the West Wide Climate Risk Assessments (WWCRA). DRI is supporting and training Reclamation staff on the models and collaborating in the further development of the models to meet Reclamations specific needs.
Current and Future Irrigation Water Demand Modeling - Cooperator, U.S. Bureau of Reclamation
Principle Investigator on a project aimed at developing historical and future agricultural evapotranspiration and irrigation water requirements. The project will enable the USBR to simulate and understand uncertainties in historical and future irrigation water requirements (IWR) under climate change through the evaluation of strategies for 1) conditioning and bias correcting retrospective gridded weather data to accurately product ET for irrigated conditions, 2) downscaling General Circulation Models (GCMs) and estimating daily weather variables of temperature and precipitation using statistical, dynamical, and hybrid downscaling to increase spatial resolution of IWR estimates, and exploring empirical approaches to estimate future daily solar radiation and humidity to support use of physically-based ET equations, and 3) evaluating the impacts of the different conditioning and downscaling approaches on computed retrospective and projected reference ET (ETref) and crop ET. We propose to address information gaps identified in this research area by 1) addressing the strengths and weaknesses of current IWR models and propose improvements, including nongrowing season evaporation, 2) applying retrospective and future climate information to estimate historical and future IWR using new modeling strategies for considering climate-driven variable growing season length and effective precipitation amounts, 3) providing guidance and methodologies for enhancing retrospective spatially distributed hydrologic weather data to simulate representative ETref and downscale GCMs, and 4) evaluating how climate change will impact crop dependent growing season lengths, crop development, and CO2 impacts on crop ET and IWR.
Development of a Evapotranspiration Monitoring Program in Southern Nevada using Remote SensingCooperator,Desert Research Institute Maki Endowment
Principle Investigator to map and monitor evapotranspiration in Southern Nevada. This project contains four major objectives: 1) develop a automated framework for estimating remotely sensed ET from irrigated lands in Southern Nevada for the entire Landsat archive (1984-pres.), 2) estimate ET from irrigated areas in the southern Nevada for the last six years (2006-2011) using METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration), 3) develop GIS databases containing METRIC derived ET estimates for irrigated areas, and 4) manage and post gridded ET maps, vegetation indices, and all other intermediate and final products on DRIs newly developed Nevada Remote Sensing Web Portal for free public access and download. Close collaboration between the PI and the Nevada Division of Water Resources will help guide specific deliverables of the project based on their needs. Actual historical ET maps and intermediate products, such as vegetation indices will be extremely beneficial for several state and federal agencies including the NDWR, National Park Service, U. S. Geological Survey, Fish and Wildlife, and Bureau of Land Management. The beauty of this project is that a historical and current archive of Landsat imagery can be used to map historical and current water use at the field scale over Southern Nevada (30m resolution).
|Ph.D.||2011||University of Nevada, Reno||Hydrologic Sciences|
|M.S.||2003||University of Nevada, Reno||Hydrologic Sciences|
|B.S.||2000||University of Nevada, Reno||Environmental Sciences/Hydrology|
Publications & Presentations