A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2019).

Climate Change Soil Water

Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
27 05 2021
Historique:
received: 21 10 2020
accepted: 07 04 2021
entrez: 28 5 2021
pubmed: 29 5 2021
medline: 16 10 2021
Statut: epublish

Résumé

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 36 km resolution (2002-2019). The NNsm can reproduce the SMAP SSM accurately, with a global Root Mean Square Error (RMSE) of 0.029 m

Identifiants

DOI: 10.1038/s41597-021-00925-8 PMID: 34045448 PMC: PMC8160186
pubmed: 34045448
doi: 10.1038/s41597-021-00925-8
pii: 10.1038/s41597-021-00925-8
pmc: PMC8160186
doi:

Substances chimiques

Soil 0
Water 059QF0KO0R

Types de publication

Dataset Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

143

Subventions

Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2019QZKK0206
Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2017YFA0603703
Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2019QZKK0206
Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2019QZKK0206
Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2019QZKK0206
Organisme : Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)
ID : 2019QZKK0206
Organisme : China Postdoctoral Science Foundation
ID : 2019M660609
Organisme : Chinese Academy of Sciences (CAS)
ID : XDA20100103

Références

Science. 2006 Aug 25;313(5790):1068-72
pubmed: 16931749

Auteurs

Panpan Yao (P)

Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
ORCID: 0000-0002-5877-9569

Hui Lu (H)

Department of Earth System Science, Tsinghua University, Beijing, 100084, China. luhui@tsinghua.edu.cn.
ORCID: 0000-0003-1640-239X

Jiancheng Shi (J)

National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China.

Tianjie Zhao (T)

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.

Kun Yang (K)

Department of Earth System Science, Tsinghua University, Beijing, 100084, China.

Michael H Cosh (MH)

Hydrology and Remote Sensing Laboratory (HRSL), United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Beltsville, MD, 20705, USA.

Daniel J Short Gianotti (DJS)

Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Dara Entekhabi (D)

Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.

Articles similaires

Planting density effect on poplar growth traits and soil nutrient availability, and response of microbial community, assembly and function.

Rongye Qiao, Zhen Song, Yinglong Chen et al.
1.00
Populus Soil Microbiology Soil Microbiota Fungi

Effects of water-insoluble wheat bran-fraction powder on disease activity and caecal microbiota in dextran sodium sulphate-induced inflammatory bowel disease mouse model.

Kazuya Koga, Mizuki Sato, Nanase Okamoto et al.
1.00
Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal

Climate change, climate disasters and oncology care: a descriptive global survey of oncology healthcare professionals.

Milagros R Elia, Ismail Toygar, Elaine Tomlins et al.
1.00
Humans Climate Change Health Personnel Surveys and Questionnaires Medical Oncology

Study on the mechanical properties of granite responses of cyclic heating and water cooling considering microcosmic and energy.

Xiaokang Liang, Hanxiang Liu, Yong Yuan et al.
1.00
Silicon Dioxide Water Hot Temperature Compressive Strength X-Ray Diffraction

Classifications MeSH

questionsmedicales.fr › Phénomènes biologiques › Phénomènes écologiques et environnementaux › Processus climatiques › Changement climatique › A long term global daily soil moisture dataset...
questionsmedicales.fr › Environnement et santé publique › Environnement › Sol › A long term global daily soil moisture dataset...
questionsmedicales.fr › Produits chimiques inorganiques › Composés de l'oxygène › Oxydes › Eau › A long term global daily soil moisture dataset...