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Presentation . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
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Global long-term daily 1 km surface soil moisture dataset with physics-informed machine learning (GSSM 1km)

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 18 Jan 2023 English Publisher:Zenodo
Authors: Han, Qianqian;

doi: 10.5281/zenodo.7576863 , 10.5281/zenodo.7576864

Global long-term daily 1 km surface soil moisture dataset with physics-informed machine learning (GSSM 1km)

Abstract

We use physics-informed machine learning to generate a global, long-term, spatially continuous high resolution dataset of surface soil moisture, using International Soil Moisture Network (ISMN), remote sensing and meteorological data, guided with the knowledge of physical processes impacting soil moisture dynamics. Global Surface Soil Moisture (GSSM1km) provides surface soil moisture (0-5 cm) at 1 km spatial and daily temporal resolution over the period 2000-2020. The root mean square error of GSSM1km in testing set is 0.05 cm3/cm3, and correlation coefficient is 0.9.

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Keywords

machine learning, open data, soil moisture

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This is an alternative to the "Influence" indicator, which also 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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popularity
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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impulse
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