Global snow water equivalent product derived from machine learning model trained with in situ measurement data ... : Global Snow Water Equivalent Product (SWEML) ...
This dataset is a global snow water equivalent dataset using machine learning trained with in-situ measurements. The temporal resolution of the SWEML product is daily, and the spatial resolution is 25km. It covers latitudes of 90S to 90N and longitudes of 180W to 180E with global scales, excluding A...
Main Authors: | , , , , |
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Format: | Dataset |
Language: | English |
Published: |
Zenodo
2024
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.10407061 https://zenodo.org/doi/10.5281/zenodo.10407061 |
Summary: | This dataset is a global snow water equivalent dataset using machine learning trained with in-situ measurements. The temporal resolution of the SWEML product is daily, and the spatial resolution is 25km. It covers latitudes of 90S to 90N and longitudes of 180W to 180E with global scales, excluding Antartica. ... |
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