A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002–2019)
Name
s41597-021-00925-8.pdf
Description
Published version
Size
12.03 MB
Format
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Checksum (MD5)
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Author(s)
Yao, Panpan
Lu, Hui
Shi, Jiancheng
Zhao, Tianjie
Yang, Kun
Cosh, Michael H
Gianotti, Daniel J Short
Entekhabi, Dara
Date Issued
May 2021
Journal
Scientific Data
Publisher
Springer Science and Business Media LLC
Citation
Yao, P., Lu, H., Shi, J. et al. A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002–2019). Sci Data 8, 143 (2021).
Version
Final published version
Abstract
Long term surface soil moisture (SSM) data with stable and consistent quality are critical for global
environment and climate change monitoring. L band radiometers onboard the recently launched Soil
Moisture Active Passive (SMAP) Mission can provide the state-of-the-art accuracy SSM, while Advanced
Microwave Scanning Radiometer for EOS (AMSR-E) and AMSR2 series provide long term observational
records of multi-frequency radiometers (C, X, and K bands). This study transfers the merits of SMAP to
AMSR-E/2, and develops a global daily SSM dataset (named as NNsm) with stable and consistent quality
at a 36km resolution (2002–2019). The NNsm can reproduce the SMAP SSM accurately, with a global
Root Mean Square Error (RMSE) of 0.029 m3
/m3
. NNsm also compares well with in situ SSM observations,
and outperforms AMSR-E/2 standard SSM products from JAXA and LPRM. This global observationdriven dataset spans nearly two decades at present, and is extendable through the ongoing AMSR2 and
upcoming AMSR3 missions for long-term studies of climate extremes, trends, and decadal variability.
MIT Department
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/S41597-021-00925-8
