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Published August 1, 2024 | Version v1
Dataset Open

Global snow water equivalent product derived from machine learning model trained with in situ measurement data

  • 1. ROR icon Yonsei University
  • 2. University of Hawaii at Manoa

Description

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.

Files

SWEML_1980.zip

Files (13.2 GB)

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Additional details

Additional titles

Subtitle (English)
Global Snow Water Equivalent Product (SWEML)