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R use in Hydrology: an example with R and the hydrological model GEOtop

Authors: Emanuele Cordano (1), Giacomo, Bertoldi (2), Samuel Senoner (3)

(1) aff (2) Eurac Research, Institute for Alpine Environment, Bolzano, Italy. (3) aff

Eco-hydrological models are increasingly used in the contexts of hydrology, ecology, precision agriculture for a detailed description of the water cycle at various scales: local scale, an hillslope or a watershed. However, with increasing computing power and observations avalaible, bigger and bigger amount of raw data are produced. Therefore the need to develop flexible and user-oriented interfaces to visualize multiple outputs, perform sensitivity analyzes and compare against observations emerges. This work presents two R open-source packages: geotopbricks and geotopOptim2. They offer an I/0 interface and R visualization tools the GEOtop hydrological distributed model (http://geotopmodel.github.io/geotop/), which solves water mass and energy budget equations to describe water cycle in the Earth´s critical zone. The package geotopbricks (https://github.com/ecor/geotopbricks and https://CRAN.R-project.org/package=geotopbricks ) is able to to read the GEOtop I/O data of the model. The package geotopOptim2 (https://github.com/EURAC-Ecohydro/geotopOptim2) calling the hydroPSO (https://CRAN.R-project.org/package=hydroPSO) package can be used for model calibration against observations. Further details and complete R package dependencies are listed in geotopOtim2 description file.
As a demonstration example, an analysis of modeled and observed soil moisture and evapotranspiration time series in some alpine agricultural sites (https://github.com/EURAC-Ecohydro/MonaLisa) are presented.

R packages: geotopbricks,stringr,geotopOptim2(github),hydroPSO,hydroGOF,shiny and leaflet (for visualizion)

Reference:

  • Endrizzi, S., Gruber, S., Dall'Amico, M., and Rigon, R. (2014): GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects, Geosci. Model Dev., 7, 2831-2857, doi:10.5194/gmd-7-2831-2014, 2014, http://www.geosci-model-dev.net/7/2831/2014/gmd-7-2831-2014.html