Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 5
Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2861-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 5
Technical note
 | 
27 May 2021
Technical note |  | 27 May 2021

Technical note: Accounting for snow in the estimation of root zone water storage capacity from precipitation and evapotranspiration fluxes

David N. Dralle, W. Jesse Hahm, K. Dana Chadwick, Erica McCormick, and Daniella M. Rempe

Data sets

Dataset for "Accounting for snow in the estimation of root-zone water storage capacity from precipitation and evapotranspiration fluxes" Dralle, D. N., W. J. Hahm, and D. M. Rempe http://www.hydroshare.org/resource/ee45c2f5f13042ca85bcb86bbfc9dd37

Model code and software

Code for "Accounting for snow in the estimation of root-zone water storage capacity from precipitation and evapotranspiration fluxes" Dralle, D. N., W. J. Hahm, and K. D. Chadwick https://colab.research.google.com/drive/1R6WkxaG77-O2Q7hEaiCVMvuE_1oCf_6S?usp=sharing

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Short summary
Root zone water storage capacity determines how much water can be stored belowground to support plants during periods without precipitation. Here, we develop a satellite remote sensing method to estimate this key variable at large scales that matter for management. Importantly, our method builds on previous approaches by accounting for snowpack, which may bias estimates from existing approaches. Ultimately, our method will improve large-scale understanding of plant access to subsurface water.
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