Zheng, Xudong (2023): Data for the combinatorial decomposable flash drought identification framework (CDFDI) research [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.939631
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Abstract:
The data for the combinatorial decomposable flash drought identification framework (CDFDI) research is used to describe the regular droughts and flash droughts characteristics in the Loess Plateau (LP) (33°43′-41°16′N, 104°54′-114°33′E), such as duration, severity, and area on an annual basis, respectively. The soil moisture percentile indicator is also provided here. The data is generated from the CDFDI framework using a reanalysis soil moisture dataset, the Global Land Data Assimilation System (GLDAS) version 2.0, over the January 1948 - December 2014. The data with a spatial resolution and temporal resolution of 0.25°x0.25° and pentad is presented in the comma searated value fromat (.csv) and nc4 (netcdf4). In general, this data could provide some useful information for water management in the LP to prevent extreme flash drought disasters.
Related to:
Zheng, Xudong; Huang, Shengzhi; Peng, Jian; Leng, Guoyong; Huang, Qiang; Fang, Wei; Guo, Yi (2022): Flash Droughts Identification Based on an Improved Framework and Their Contrasting Impacts on Vegetation Over the Loess Plateau, China. Water Resources Research, 58(9), https://doi.org/10.1029/2021WR031464
Coverage:
Median Latitude: 37.491667 * Median Longitude: 109.725000 * South-bound Latitude: 33.716667 * West-bound Longitude: 104.900000 * North-bound Latitude: 41.266667 * East-bound Longitude: 114.550000
Event(s):
Comment:
The data for the combinatorial decomposable flash drought identification framework (CDFDI) research is used to describe the regular droughts and flash droughts characteristics in the Loess Plateau (LP) (33°43′-41°16′N, 104°54′-114°33′E), such as duration, severity, and area on an annual basis, respectively. The soil moisture percentile indicator is also provided here. The data is generated from the CDFDI framework using a reanalysis soil moisture dataset, the Global Land Data Assimilation System(GLDAS) version 2.0, over the January 1948 - December 2014. The data with a spatial resolution and temporal resolution of 0.25°x0.25° and pentad is presented in the comma searated value fromat (.csv) and nc4 (netcdf4). In general, this data could provide some useful information for water management in the LP to prevent extreme flash drought disasters.
Rodell, M., et al. (2004), The Global Land Data Assimilation System, bams, 85, 381-394.
Beaudoing, H., and M. Rodell (2019), GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree V2.0, edited by NASA/GSFC/HSL, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Zheng, Xudong | |||
| 2 | Binary Object (Media Type) | Binary (Type) | Zheng, Xudong | |||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Zheng, Xudong |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
27 data points