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Patrick Broxton
Patrick Broxton
School of Natural Resources and the Environment, University of Arizona
Verified email at email.arizona.edu
Title
Cited by
Cited by
Year
A global land cover climatology using MODIS data
PD Broxton, X Zeng, D Sulla-Menashe, PA Troch
Journal of Applied Meteorology and Climatology 53 (6), 1593-1605, 2014
3792014
A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling
JD Pelletier, PD Broxton, P Hazenberg, X Zeng, PA Troch, GY Niu, ...
Journal of Advances in Modeling Earth Systems 8 (1), 41-65, 2016
2462016
Quantifying the effects of vegetation structure on snow accumulation and ablation in mixed‐conifer forests
PD Broxton, AA Harpold, JA Biederman, PA Troch, NP Molotch, ...
Ecohydrology 8 (6), 1073-1094, 2015
1742015
Snowpack change from 1982 to 2016 over conterminous United States
X Zeng, P Broxton, N Dawson
Geophysical Research Letters 45 (23), 12,940-12,947, 2018
1702018
On the role of aspect to quantify water transit times in small mountainous catchments
PD Broxton, PA Troch, SW Lyon
Water Resources Research 45 (8), 2009
1402009
Technical description of version 5.0 of the Community Land Model (CLM)
D Lawrence
(No Title), 329, 2020
1352020
A MODIS-based global 1-km maximum green vegetation fraction dataset
PD Broxton, X Zeng, W Scheftic, PA Troch
Journal of applied Meteorology and Climatology 53 (8), 1996-2004, 2014
1112014
Improving snow water equivalent maps with machine learning of snow survey and lidar measurements
PD Broxton, WJD Van Leeuwen, JA Biederman
Water Resources Research 55 (5), 3739-3757, 2019
1032019
Why do global reanalyses and land data assimilation products underestimate snow water equivalent?
PD Broxton, X Zeng, N Dawson
Journal of Hydrometeorology 17 (11), 2743-2761, 2016
982016
Global 1-km gridded thickness of soil, regolith, and sedimentary deposit layers
JD Pelletier, PD Broxton, P Hazenberg, X Zeng, PA Troch, G Niu, ...
ORNL DAAC, 2016
842016
Intercomparison of seven NDVI products over the United States and Mexico
W Scheftic, X Zeng, P Broxton, M Brunke
Remote Sensing 6 (2), 1057-1084, 2014
812014
Linking snowfall and snow accumulation to generate spatial maps of SWE and snow depth
PD Broxton, N Dawson, X Zeng
Earth and Space Science 3 (6), 246-256, 2016
762016
Implementing and evaluating variable soil thickness in the Community Land Model, version 4.5 (CLM4. 5)
MA Brunke, P Broxton, J Pelletier, D Gochis, P Hazenberg, DM Lawrence, ...
Journal of climate 29 (9), 3441-3461, 2016
732016
Daily 4 km gridded SWE and snow depth from assimilated in-situ and modeled data over the conterminous US, version 1
P Broxton, X Zeng, N Dawson
NASA Natl. Snow Ice Data Cent. Distrib. Act. Arch. Center, Boulder, CO, 2019
672019
A wet‐bulb temperature‐based rain‐snow partitioning scheme improves snowpack prediction over the drier western United States
YH Wang, P Broxton, Y Fang, A Behrangi, M Barlage, X Zeng, GY Niu
Geophysical Research Letters 46 (23), 13825-13835, 2019
612019
Evaluation of remotely sensed snow water equivalent and snow cover extent over the contiguous United States
N Dawson, P Broxton, X Zeng
Journal of Hydrometeorology 19 (11), 1777-1791, 2018
552018
A hybrid‐3D hillslope hydrological model for use in E arth system models
P Hazenberg, Y Fang, P Broxton, D Gochis, GY Niu, JD Pelletier, ...
Water Resources Research 51 (10), 8218-8239, 2015
542015
A new snow density parameterization for land data initialization
N Dawson, P Broxton, X Zeng
Journal of Hydrometeorology 18 (1), 197-207, 2017
492017
Estimating the effects of forest structure changes from wildfire on snow water resources under varying meteorological conditions
CD Moeser, PD Broxton, A Harpold, A Robertson
Water Resources Research 56 (11), e2020WR027071, 2020
382020
Using process based snow modeling and lidar to predict the effects of forest thinning on the northern Sierra Nevada snowpack
SA Krogh, PD Broxton, PN Manley, AA Harpold
Frontiers in Forests and Global Change 3, 21, 2020
332020
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