SM2RAIN-CCI: a new global long-term rainfall data set derived from ESA CCI soil moisture
Accurate and long-term rainfall estimates are the main inputs for several applications, from crop modeling to climate analysis. In this study, we present a new rainfall data set (SM2RAIN-CCI) obtained from the inversion of the satellite soil moisture (SM) observations derived from the ESA Climat...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-02-01
|
Series: | Earth System Science Data |
Online Access: | https://www.earth-syst-sci-data.net/10/267/2018/essd-10-267-2018.pdf |
Summary: | Accurate and long-term rainfall estimates are the main inputs
for several applications, from crop modeling to climate analysis. In this
study, we present a new rainfall data set (SM2RAIN-CCI) obtained from the
inversion of the satellite soil moisture (SM) observations derived from the
ESA Climate Change Initiative (CCI) via SM2RAIN (Brocca et al., 2014). Daily
rainfall estimates are generated for an 18-year long period (1998–2015),
with a spatial sampling of 0.25° on a global scale, and are based on
the integration of the ACTIVE and the PASSIVE ESA CCI SM data sets.<br><br>The quality of the SM2RAIN-CCI rainfall data set is evaluated by comparing it
with two state-of-the-art rainfall satellite products, i.e. the Tropical
Measurement Mission Multi-satellite Precipitation Analysis 3B42 real-time
product (TMPA 3B42RT) and the Climate Prediction Center Morphing Technique
(CMORPH), and one modeled data set (ERA-Interim). A quality check is carried
out on a global scale at 1° of spatial sampling and 5 days of
temporal sampling by comparing these products with the gauge-based Global
Precipitation Climatology Centre Full Data Daily (GPCC-FDD) product.
SM2RAIN-CCI shows relatively good results in terms of correlation coefficient
(median value > 0.56), root mean square difference (RMSD, median value
< 10.34 mm over 5 days)
and bias (median value < −14.44 %) during the evaluation period. The
validation has been carried out at original resolution (0.25°) over
Europe, Australia and five other areas worldwide to test the capabilities of
the data set to correctly identify rainfall events under different climate
and precipitation regimes.<br><br>The SM2RAIN-CCI rainfall data set is freely available at <a href="https://doi.org/10.5281/zenodo.846259" target="_blank">https://doi.org/10.5281/zenodo.846259</a>. |
---|---|
ISSN: | 1866-3508 1866-3516 |