Published April 5, 2022 | Version 1.0.0

GPM_API - Global Hourly Soil Moisture from GPM IMERG Data - 2016

Authors/Creators

  • 1. Ludwig-Maximilians-Universität München

Description

# GPM_API 2016

GPM_API data root: https://zenodo.org/record/6489998

# Related article:

Ramsauer, T., & Marzahn, P. (2023). Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index. International Journal of Remote Sensing, 44(2), 542-566.

Article: https://doi.org/10.1080/01431161.2022.2162351

Free PDF: www.tandfonline.com/eprint/6VHQ7JCCJXSPAMG3PVIG/full?target=10.1080/01431161.2022.2162351

Files

Files (20.6 GB)

Name Size
md5:ddfc06aa7dc75c7bb1c7d3d386b64136
1.7 GB Download
md5:7a3e3e08c09372c8752355a330951345
1.6 GB Download
md5:bde89736159a3ae426d2c00c6e3a05d0
1.7 GB Download
md5:feba991f214d2135faa8cc8139e75de5
1.7 GB Download
md5:d06575d4b036f261a7f8dc4522a80f62
1.8 GB Download
md5:325ec0d141e90cf63b2c332f6f1d180f
1.7 GB Download
md5:c6c0785c03e776fba2eff1427d79ab60
1.8 GB Download
md5:0990e6ab4c4f9c65a249496b9f9898ea
1.8 GB Download
md5:c6e0a18f13b114b5de465c6d804d7370
1.7 GB Download
md5:4e0ebf02ca1f8f22af0632f33579fb39
1.7 GB Download
md5:35507c463ec9b5e1005b395cbada9edd
1.7 GB Download
md5:f87d05764d29832b02cfd2356f1ef5b4
1.7 GB Download