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...

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Bibliographic Details
Main Authors: Jungho, Seo, Panahi, Mahdi, JiHyun, Kim, Bateni, Sayed, Kim, Yeonjoo
Format: Dataset
Language:English
Published: Zenodo 2024
Subjects:
antartic*
Online Access:https://dx.doi.org/10.5281/zenodo.10407062
https://zenodo.org/doi/10.5281/zenodo.10407062
Description
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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