1.
Mosaffa, Hamidreza; Filippucci, Paolo; Massari, Christian; Ciabatta, Luca; Brocca, Luca
SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studie Journal Article
In: Scientific Data, vol. 10, no. 749, 2023.
Abstract | Links | BibTeX | Tags: Climate Science, Hydrology
@article{nokey,
title = {SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studie},
author = {Hamidreza Mosaffa and Paolo Filippucci and Christian Massari and Luca Ciabatta and Luca Brocca },
url = {https://www.nature.com/articles/s41597-023-02654-6#citeas},
doi = {https://doi.org/10.1038/s41597-023-02654-6},
year = {2023},
date = {2023-10-31},
urldate = {2023-10-31},
journal = {Scientific Data},
volume = {10},
number = {749},
abstract = {A reliable and accurate long-term rainfall dataset is an indispensable resource for climatological studies and crucial for application in water resource management, agriculture, and hydrology. SM2RAIN (Soil Moisture to Rain) derived datasets stand out as a unique and wholly independent global product that estimates rainfall from satellite soil moisture observations. Previous studies have demonstrated the SM2RAIN products’ high potential in estimating rainfall around the world. This manuscript describes the SM2RAIN-Climate rainfall product, which uses the European Space Agency (ESA) Climate Change Initiative (CCI) soil moisture v06.1 to provide monthly global rainfall for the 24-year period 1998–2021 at 1-degree spatial resolution. The assessment of the proposed rainfall dataset against different existing state-of-the-art rainfall products exhibits the robust performance of SM2RAIN-Climate in most regions of the world. This performance is indicated by correlation coefficients between SM2RAIN-Climate and state-of-the-art products, consistently exceeding 0.8. Moreover, evaluation results indicate the potential of SM2RAIN-Climate as an independent rainfall product from other satellite rainfall products in capturing the pattern of global rainfall trend.},
keywords = {Climate Science, Hydrology},
pubstate = {published},
tppubtype = {article}
}
A reliable and accurate long-term rainfall dataset is an indispensable resource for climatological studies and crucial for application in water resource management, agriculture, and hydrology. SM2RAIN (Soil Moisture to Rain) derived datasets stand out as a unique and wholly independent global product that estimates rainfall from satellite soil moisture observations. Previous studies have demonstrated the SM2RAIN products’ high potential in estimating rainfall around the world. This manuscript describes the SM2RAIN-Climate rainfall product, which uses the European Space Agency (ESA) Climate Change Initiative (CCI) soil moisture v06.1 to provide monthly global rainfall for the 24-year period 1998–2021 at 1-degree spatial resolution. The assessment of the proposed rainfall dataset against different existing state-of-the-art rainfall products exhibits the robust performance of SM2RAIN-Climate in most regions of the world. This performance is indicated by correlation coefficients between SM2RAIN-Climate and state-of-the-art products, consistently exceeding 0.8. Moreover, evaluation results indicate the potential of SM2RAIN-Climate as an independent rainfall product from other satellite rainfall products in capturing the pattern of global rainfall trend.