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Andrew Hedrick (PhD)
Northwest Watershed Research Center
Post Doc (Research Associate)

Phone: (208) 422-0718
Fax: (208) 334-1502

251 E Front Street
SUITE 400
BOISE, ID 83702

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Automated Water Supply Model (AWSM): Streamlining and standardizing application of a physically based snow model for water resources and reproducible science Reprint Icon - (Peer Reviewed Journal)
Havens, S.C., Marks, D.G., Sandusky, M.L., Hedrick, A., Johnson, M.J., Robertson, M.E., Trujillo, E. 2020. Automated Water Supply Model (AWSM): Streamlining and standardizing application of a physically based snow model for water resources and reproducible science. Geoscientific Model Development. 144. https://doi.org/10.1016/J.CAGEO.2020.104571.
From drought to flood: A water balance analysis of the Tuolumne River Basin during extreme conditions (2015 – 2017) Reprint Icon - (Peer Reviewed Journal)
Hedrick, A., Marks, D.G., Marshall, H., McNamara, J., Havens, S.C., Trujillo, E., Sandusky, M.L., Robertson, M.E., Johnson, M.J., Bormann, K., Painter, T.H. 2020. From drought to flood: A water balance analysis of the Tuolumne River Basin during extreme conditions (2015 – 2017). Hydrological Processes. 34(11):2560-2574. https://doi.org/10.1002/hyp.13749.
Spatial modeling for resources framework (computer code) Reprint Icon ()
Havens, S.C., Marks, D.G., Kormos, P., Hedrick, A., Johnson, M., Sandusky, M.L., Robertson, M.E. 2019. Spatial modeling for resources framework (computer code). Model and Computer Program Software Documentation. USDA-ARS-NWRC-v0.8.10. https://doi.org/10.5281/zenodo.3455763.
Automated Water Supply Model (AWSM), (computer code) Reprint Icon ()
3. Havens, S., D. Marks, M. Sandusky, A. Hedrick, M. Johnson, M. Robertson and E. Trujillo, 2019, Automated Water Supply Model (AWSM), (computer code), USDA-ARS-NWRC/awsm: v0.9.26, Zenodo, https://doi.org/10.5281/zenodo.3455762.
Snow and Water Model analysis and visualiztion (SNOWAV) Reprint Icon ()
Havens, S.C., Robertson, M.E., Marks, D.G., Johnson, M., Hedrick, A., Trujillo-Gomez, E., Sandusky, M.L. 2019. Snow and Water Model analysis and visualiztion (SNOWAV). Zenodo. USDA-ARS-NWRC/snowav:v0.9.26. https://doi.org/10.5281/zenodo.3455768.
Automated Water Supply Model (AWSM), test cases Reprint Icon ()
Havens, S.C., Marks, D.G., Sandusky, M.L., Hedrick, A., Johnson, M., Robertson, M.E., Trujillo-Gomez, E. 2019. Automated Water Supply Model (AWSM), test cases. Zenodo. USDA-ARS-NWRC/awsm. https://doi.org/10.5281/zenodo.3381607.
Approximating input data to a snowmelt model using weather research and forecasting model outputs in lieu of meteorological measurements Reprint Icon - (Peer Reviewed Journal)
Havens, S., Marks, D., FitzGerald, K., Masarik, M., Flores, A.N., Kormos, P., Hedrick, A. 2019. Approximating input data to a snowmelt model using weather research and forecasting model outputs in lieu of meteorological measurements. Journal of Hydrometeorology. 20(5):847-862. https://doi.org/10.1175/JHM-D-18-0146.1.
Approximating input data to a snowmelt model using Weather Research and Forecasting model outputs in lieu of meteorological measurements Reprint Icon - (Peer Reviewed Journal)
Havens, S.C., Marks, D.G., Fitzgerald, K., Masarik, M., Flores, A., Kormos, P., Hedrick, A. 2019. Approximating input data to a snowmelt model using Weather Research and Forecasting model outputs in lieu of meteorological measurements. Journal of Hydrometeorology. 20(5):847-862. https://doi.org/10.1175/JHM-D-18-0146.1.
Direct insertion of NASA airborne snow observatory-derived snow depth time series into the iSnobal energy balance snow model Reprint Icon - (Peer Reviewed Journal)
Hedrick, A.R., Marks, D., Havens, S., Robertson, M., Johnson, M., Sandusky, M., Marshall, H., Kormos, P.R., Bormann, K.J., Painter, T.H. 2018. Direct insertion of NASA airborne snow observatory-derived snow depth time series into the iSnobal energy balance snow model. Water Resources Research. 54:8045-8063. https://doi.org/10.1029/2018WR023190.
31 years of hourly spatially distributed air temperature, humidity, and precipitation amount and phase from Reynolds Critical Zone Observatory Reprint Icon - (Peer Reviewed Journal)
Kormos, P.R., Marks, D.G., Seyfried, M.S., Havens, S.C., Hedrick, A., Lohse, K., Sandusky, M.L., Kahl, A., Garen, D. 2018. 31 years of hourly spatially distributed air temperature, humidity, and precipitation amount and phase from Reynolds Critical Zone Observatory. Earth System Science Data. 10:1197-1205. https://doi.org/10.5194/essd-10-1197-2018.
Data set: Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model Reprint Icon ()
Hedrick, A., D. Marks, S. Havens, M. Robertson, M. Johnson, M. Sandusky, H.P. Marshall, P. Kormos, Kat Bormann, Tom Painter, 2018, Data set: Direct insertion of NASA Airborne Snow Observatory-derived snow depth time-series into the iSnobal energy balance snow model, (Data set), Zenodo. doi: 10.5281/zenodo.1228400.
Spatial modeling for resources framework (SMRF): A modular framework for developing spatial forcing data for snow modeling in mountain basins Reprint Icon - (Peer Reviewed Journal)
Havens, S.C., Marks, D.G., Kormos, P.R., Hedrick, A. 2017. Spatial modeling for resources framework (SMRF): A modular framework for developing spatial forcing data for snow modeling in mountain basins. Computers and Geosciences. 109:295-304. https://doi.org/10.1016/j.cageo.2017.08.016.
Spatial Modeling for Resources Framework (SMRF) ()
Havens, Scott, Marks, Danny, Kormos, Patrick, & Hedrick, Andrew. (2017, September 20). Spatial Modeling for Resources Framework (SMRF). Zenodo. http://doi.org/10.5281/zenodo.898158
Meteorological, snow, streamflow, topographic, and vegetation height data from four western juniper-dominated experimental catchments in southwestern Idaho, USA - (Peer Reviewed Journal)
Kormos, P.R., Marks, D.G., Pierson, F.B., Williams, C.J., Hardegree, S.P., Boehm, A.R., Havens, S.C., Hedrick, A., Svejcar, A. 2017. Meteorological, snow, streamflow, topographic, and vegetation height data from four western juniper-dominated experimental catchments in southwestern Idaho, USA. Earth System Science Data. 9:91-98. doi:10.5194/essd-9-91-2017.
Data set: 31 years of spatially distributed air temperature, humidity, precipitation amount and precipitation phase from a mountain catchment in the rain-snow transition zone ()
Kormos, P.R., Marks, D.G., Seyfried, M.S., Havens, S.C., Hedrick, A., Lohse, K., Masarik, M., Flores, A. 2016. Data set: 31 years of spatially distributed air temperature, humidity, precipitation amount and precipitation phase from a mountain catchment in the rain-snow transition zone. Boise State University, Reynolds Creek Critical Zone Observatory. http://doi.org/10.18122/B2B59V.
Ecosystem water availability in juniper versus sagebrush snow-dominated rangelands Reprint Icon - (Peer Reviewed Journal)
Kormos, P.R., Marks, D.G., Pierson, F.B., Williams, C.J., Hardegree, S.P., Havens, S.C., Hedrick, A., Bates, J.D., Svejcar, A.J. 2017. Ecosystem water availability in juniper versus sagebrush snow-dominated rangelands. Rangeland Ecology and Management. 70(1):116-128. https://doi.org/10.1016/j.rama.2016.05.003.
Data set: weather, snow, and streamflow data from four western juniper-dominated experimental catchments in southwestern Idaho, USA ()
Kormos, P.R., Marks, D.G., Boehm, A.R., Havens, S.C., Hedrick, A., Pierson Jr, F.B., Williams, C.J., Hardegree, S.P., Bates, J.D., Svejcar, A., Winstral, A. 2016. Data set: Weather, snow, and streamflow data from four western juniper-dominated experimental catchments in southwestern Idaho, USA, Ag Data Commons, USDA Agricultural Library, http://dx.doi.org/10.15482/USDA.ADC/1254010.