Run the LWF-Brook90 hydrological model within R.
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Updated
Sep 6, 2024 - R
Run the LWF-Brook90 hydrological model within R.
R native implementation of the Dynamic Water Balance hydrologic model in a monthly time step
Code for mapping, modeling, and validating evapotranspiration data across spatial and temporal scales
R scripts to create surface radiation components of evapotranspiration from Landsat Satellite data
Scripts and instructions to reproduce the analysis presented in "Diagnosing evapotranspiration responses to water deficit across biomes using deep learning" by Giardina et al.
PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru
The main goal of the project is to collect data from various sources (satellite - NASA, Modis and Ecostress) as well as ground-based meteorological measurements, and then to calculate evapotranspiration processes based on the Ts-Ta formula
How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?
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