de.pangaea.dataset937283 und dataset PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact 2026-04-30T21:39:49Z https://doi.pangaea.de/10.1594/PANGAEA.937283 2021-10-12T14:42:46 publication https://doi.org/10.1594/PANGAEA.937283 Wang, Hansheng

whs@whigg.ac.cn

author Xiang, Longwei

xianglongwei@126.com

https://orcid.org/0000-0003-4182-0606 information author Steffen, Holger

holger.steffen@lm.se

https://orcid.org/0000-0001-6682-6209 information author Wu, Patrick

ppwu@ucalgary.ca

https://orcid.org/0000-0001-5812-4928 information author Jiang, Liming

jlm@whigg.ac.cn

https://orcid.org/0000-0002-1127-9823 information author Shen, Qiang

cl980606@whigg.ac.cn

https://orcid.org/0000-0001-9401-4160 information author Li, Zhen

lizhen@asch.whigg.ac.cn

author Hayashi, Masaki

hayashi@ucalgary.ca

author PANGAEA

info@pangaea.de

https://www.pangaea.de/ information publisher tableDigital We release three data products for monthly GRACE derived groundwater storage changes (GWS) in North America. In the first one, we provide an independent estimate for monthly GWS changes within North America in 1-degree-grids and their trends over the whole GRACE mission lifetime from April 2002 to June 2017. In the second one, we give the monthly GWS changes and the trends averaged for the 5 major GWS trend anomalies in around Saskatchewan, Nevada, California, Arizona and Texas, respectively. The third data product includes the monthly GWS changes and the trends averaged for the 14 states or provinces in the US and Canada, affected by the above GWS trend anomalies, i.e., for Saskatchewan, Montana, Nevada, California, Arizona, New Mexico, Texas, Oklahoma, Kansas, Alberta, North Dakota, Minnesota, Colorado and Chihuahuas, respectively. Our GWS estimates are derived from the release-6 version of GRACE monthly level-2 data, GNSS data, two land surface models of new version of GLDAS dataset (GLDAS 2.1) for soil moisture and snow water equivalent, and satellite altimetric lake level data. Especially, unlike previous studies, glacial isostatic adjustment (GIA) effects are eliminated by employing an independent separation approach with the aid of GNSS (Global Navigation Satellite System) vertical velocity data. We find a GWS anomaly in form of an increasing trend in Saskatchewan, which affects the Saskatchewan Province and the states of Montana, North Dakota and Minnesota, and 4 GWS anomalies with declining trends in Nevada, California, Arizona and Texas, respectively. The monthly changes of these GWS anomalies are validated by well level data. completed drought GNSS GRACE groundwater North America precipitation theme 1995-01-01 creation PANGAEA

info@pangaea.de

https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation application/zip unknown https://download.pangaea.de/dataset/937283/files/Wang-etal_2021.zip download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. Supplement to 2022-01-01 publication https://doi.org/10.1016/j.geog.2021.10.003 Wang, Hansheng

whs@whigg.ac.cn

author Xiang, Longwei

xianglongwei@126.com

https://orcid.org/0000-0003-4182-0606 information author Steffen, Holger

holger.steffen@lm.se

https://orcid.org/0000-0001-6682-6209 information author Wu, Patrick

ppwu@ucalgary.ca

https://orcid.org/0000-0001-5812-4928 information author Jiang, Liming

jlm@whigg.ac.cn

https://orcid.org/0000-0002-1127-9823 information author Shen, Qiang

cl980606@whigg.ac.cn

https://orcid.org/0000-0001-9401-4160 information author Li, Zhen

lizhen@asch.whigg.ac.cn

author Hayashi, Masaki

hayashi@ucalgary.ca

author documentDigital Geodesy and Geodynamics 13(1) 11-23 Further details documentHardcopy