Modeling / Computational Science Tag
Modeling / Computational Science is one of more than 16 discipline tags that we use to categorize and aggregate our interdisciplinary information within and across CZOs. Much of our information has been tagged with 2-3 disciplines.
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Reynolds People - Modeling / Computational Science
3 People
INVESTIGATOR, PostDoc
.(JavaScript must be enabled to view this email address)
Hydrologic Relationships between Critical Zone Moisture Fluxes and Observed Soil Organic Carbon.
INVESTIGATOR
.(JavaScript must be enabled to view this email address), 208-422-0716
Micro-Meteorology; Hydrology; SVAT Modeling; Soil Science
INVESTIGATOR, PostDoc
.(JavaScript must be enabled to view this email address)
Terrestrial ecosystem modeling; Forest biometrics; Spatial statistics; Remote sensing; GIS
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Reynolds Data - Modeling / Computational Science
Reynolds Creek - Land Cover, LiDAR, Vegetation - Biomass Estimate of Sagebrush (2012)
1 components • Reynolds Creek Experimental Watershed • Biology / Ecology, GIS / Remote Sensing, Modeling / Computational Science • Li, Aihua; Glenn, Nancy F; Olsoy, Peter J; Mitchell, Jessica J; Shrestha, Rupesh -
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Reynolds Publications - Modeling / Computational Science
2020
Resolving Deep Critical Zone Architecture in Complex Volcanic Terrain. Moravec B.G., White A.M., Root R.A, Sanchez A., Olshansky Y., Paras B.K., Carr B., McIntosh J., Pelletier J.D., Rasmussen C., Holbrook W.S., Chorover J. (2020): Journal of Geophysical Research: Earth Surface 125(1): e2019JF005189 Cross-CZO
2019
Hillslope hydrology in global change research and Earth system modeling. Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S. L., P. D. Brooks, W. E. Dietrich, A. Flores, G. Grant, J. W. Kirchner, D. S. Mackay, J. J. McDonnell, P. C. D. Milly, P. L. Sullivan, C. Tague, H. Ajami, N. Chaney, A. Hartmann, P. Hazenberg, J. McNamara, J. Pelletier, J. Perket, E. Rouholahnejad‐Freund, T. Wagener, X. Zeng, E. Beighley, J. Buzan, M. Huang, B. Livneh, B. P. Mohanty, B. Nijssen, M. Safeeq, C. Shen, W. van Verseveld, J. Volk, D. Yamazaki (2019): Water Resources Research, vol 55 Cross-CZO
2019
Developing and optimizing shrub parameters representing sagebrush (Artemisia spp) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv22) model. Pandit, K., Dashti, H., Glenn, N.F., Flores, A.N., Maguire, K.C., Shinneman, D.J., Flerchinger, G.N., and A.W. Fellows (2019): Geosci. Model Dev.
2018
Water flow modeling with dry bulk density optimization to determine hydraulic properties in mountain soils. Fullhart, A.T., Kelleners, T.J., Chandler, D.G., McNamara, J.P., and M.S. Seyfried (2018): Soil Science Society of America Journal
2018
Hydrologic Control of Catchment-Scale Dissolved Organic Carbon (DOC) Dynamics. Hang Wen*, Li Li, Julia N Perdrial, Benjamin Abbott, Thomas Adler, Susana Bernal, Remi Dupas, Sarah Godsey, Rebecca L Hale, Adrian Harpold, Donna M Rizzo, Gary Sterle, Kristen Underwood (2018): Abstract H13J-1880 presented at 2018 AGU Fall Meeting, Washington, D.C., 10-14 Dec Cross-CZO
2018
Data paper: 31 Years of Spatially Distributed Air Temperature, Humidity, Precipitation Amount and Precipitation Phase From Reynolds Critical Zone Observatory. Kormos, P. R., Marks, D. G., Seyfried, M. S., Havens, S. C., Hedrick, A., Lohse, K. A., Sandusky, M., Kahl, A. and Garen, D. (2018): ESSD. 10, 1197-1205
2017
Block-controlled hillslope form and persistence of topography in rocky landscape. Glade, RC, Anderson, RS, and Tucker, GE (2017): Geology (2017) 45 (4): 311-314. Cross-CZO
2016
The Airborne Snow Observatory: fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo. Painter, T., Berisford, D., Boardman, J., Bormann, K., Deems, J., Gehrke, F., Hedrick, A., Joyce, M., Laidlaw, R., Marks, D., Mattmann, C., Mcgurk, B., Ramirez, P., Richardson, M., Skiles, S.M., Seidel, F., and A. Winstral (2016): Remote Sensing of Environment
2016
Simulating maize production, water and surface energy balance, and canopy temperature under full and deficit irrigation. Qi, Z., Ma, L., Bausch, W.C., Trout, T.J., Ahuja, L.R., Flerchinger, G.N., and Q.X. Fang (2016): Transactions of ASABE
2016
Investigating Precipitation and Snow Storage in Southern Idaho Via a High Resolution Regional Climate Model. Watson, K., Masarik, M. and A. Flores (2016): Western Snow Conference, Seattle, WA
2015
A unified approach to hydrologic modeling: Part 2 Comparison of alternative process representations. Clark, M., Nijssen, B., Lundquist, J., Kavetski, D., Rupp, D., Gutmann, E., Wood, A., Gochis, D., Rasmussen, R., Tarboton, D., Mahat, V., Flerchinger, G., and D. Marks (2015): Water Resources Research
2015
Improving Ecosystem Dynamic Models in a Semi-arid Ecosystem by Integrating Different Sources of Remotely Sensed Data. Dashti, H., Glenn, N., Jessica, M., Spaete, L., Flores, A., Zhou, Q., and M. Masarik (2015): CSDMS Annual Meeting, Boulder, CO
2015
ISNOBAL: Impacts of Extreme Precipitation event in the rain-snow transition. Enslin, C., Marks, D., Godsey, S., and P. Kormos (2015): Summer Tri-State EPSCoR Meeting
2015
Modeling Temperature and Humidity Profiles withing Forest Canopies. Flerchinger, G., Reba, M., Link, T., and D. Marks (2015): Agricultural and Forest Meteorology
2015
Running a physically-based snow model for near real time operational water forecasts Abstract H31A-07. Havens, S., Winstral, A., Marks, D., Kormos, P., Hedrick, A., Rothwell, E., Flores, A., Watson, K., and M. Masarik (2015): Joint AGU/CGU Meeting, Montreal, Canada
2015
High-resolution, intermediate range forecasting for water resource management in Southern Idaho. Masarik, M., Watson, K., and A. Flores (2015): Northwest Climate Conference, Coeur d'Alene, ID
2015
Geophysical investigation of differences in weathering depths between the north and south facing slopes of a small catchment in the Reynolds Creek Critical Zone Observatory. Nielson, T., Bradford, J., and S. Holbrook (2015): American Geophysical Union, San Francisco, CA
2015
Modeling the hydro-climate of southwest Idaho over a range of historical conditions. Watson, K., Masarik, M. and A. Flores (2015): Northwest Climate Conference, Coeur d'Alene, ID
2014
Process-Based Modeling of Temperature and Water Profiles in the Seedling Recruitment Zone: Part 1 Model Validation. Bullied, W.H., Flerchinger, G.N., Bullock, P.R., and R.C. Van Acker (2014): Agricultural & Forest Meterology. 188:89–103
2014
Modeling evapotranspiration and energy balance in a wheat-maize cropping system using the revised RZ-SHAW model. Fang, Q.X., Ma, L., Flerchinger, G.N., Qi, Z., Ahuja, L.R., Xing, H.T., Li, J., and Q. Yu (2014): Agricultural and Forest Meteorology. 194:218–229
2014
Evaluation of a two source snow-vegetation energy balance model for estimating surface energy fluxes in a rangeland ecosystem. Kongoli, C, W.P. Kustas, M.C., Anderson, J.M., Norman, J.G., Alfieri, G.N., Flerchinger and D. Marks (2014): Journal of Hydrometeorology, 15: 143-158
2014
The use of similarity concepts to represent sub-grid variability in hydrologic and land-surface models: Case study in a snowmelt dominated watershed. Newman, A., M. Clark, A. Winstral, D. Marks and M. Seyfried (2014): Journal of Hydrometeorology, early online release
2014
Sensitivity of model parameterizations for simulating latent heat flux over snow. Reba, M., D. Marks, T. Link, J. Pomeroy and A. Winstral (2014): Hydrological Processes, 28: 868-881
2014
Assessing the sensitivities of distributed snow models to forcing data resolution. Winstral, A., D. Marks and R. Gurney (2014): Journal of Hydrometeorology, 15(4): 1366-1383
2013
Coupling of the simultaneous heat and water model with a distributed hydrological model and evaluation of the combined model in a cold region watershed. Zhang, Y., Cheng, G., Li, X., Han, X., Wang, L., Li, H., Chang, X., and G.N. Flerchinger (2013): Hydrological Processes. 27:3762-3776
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Reynolds News - Modeling / Computational Science
2017
Critical Zone Profile – MARK SEYFRIED (soil scientist, USDA)
17 Jan 2017 - Soil Scientist, USDA ARS, Pacific West Area, Boise, Idaho
2016
Critical Zone Q&A with researcher Adrian Harpold
19 Oct 2016 - University of Nevada Reno's Adrian Harpold reflects on his past and present time researching at Critical Zone Observatories.
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Reynolds Events - Modeling / Computational Science
CZO / LTER / NEON / ISMC Joint Workshop
Modeling the Critical Zone; State of the Art, Data Integration, and Frontiers
Boulder, Colorado.
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