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The Soil Moisture Index program - SMI

Authors: Samaniego, Luis; Kumar, Rohini; Zink, Matthias; Mai, Juliane; Boeing, Friedrich; Shrestha, Pallav-Kumar; Kaluza, Maren; +3 Authors

The Soil Moisture Index program - SMI

Abstract

This repository contains the soil moisture index (SMI) Fortran program developed at the Dept. Computational Hydrosystems at the Helmholtz Centre for Environmental Research - UFZ. This sofware was developed initially for Samaniego et al. (2013, https://doi.org/10.1175/JHM-D-12-075.1). Features have been added for subsequent publications. These include Thober et al. (2015, https://doi.org/10.1175/JHM-D-15-0053.1), Zink et al. (2016, https://doi.org/10.1088/1748-9326/11/7/074002), and Samaniego and Thober et al. (2018, https://doi.org/10.1038/s41558-018-0138-5). This version is also used in Rakovec et al. (2022) "The 2018–2020 multi-year drought sets a new benchmark in Europe", Earth's Future, 10, e2021EF002394. In particular, it was used in the creation of the associated dataset "The 2018-20 multi-year drought sets a new benchmark in Europe" (https://zenodo.org/record/5801249). It is also used in the second version of the German Drought Monitor Boeing et al. (2022, https://doi.org/10.5194/hess-2021-402). Continuous development of the program is located in the git repository: https://git.ufz.de/chs/progs/SMI and its mirror https://github.com/mhm-ufz/SMI.

Keywords

soil moisture, kernel density estimator

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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