官方服务:
资源简介:
通过水分亏缺指数(WDDI)生成的全球干旱监测产品, 可以满足不同尺度干旱(气象干旱,农业干旱,水文干旱)监测的需要。产品覆盖的时间范围是2002年6月-2017年6月,空间范围为全球,时间分辨率是月尺度,空间分辨率是0.5度。
应用场景:
创建时间:
2023-05-27
相关数据集
The high spatial resolution multi-scale monthly SPI and SPEI raster dataset over China from 1979 to 2018
The traditional monthly SPI/SPEI fitting by various probability distributions (Gamma, Gumbel, Logistic, Log-Logistic, and Normal for SPI and Log-Logistic, Generalized extreme value, Normal, and Pearso
DataCite Commons2025-04-01 更新200
Harmonized Palmer Drought Severity Indices throughout the Contiguous United States for HydroBASINS basins
In times of a changing hydroclimate and growing human population, there is a need to assess how various climatic and demand conditions influence water availability on the landscape. Tendency for droug
DataONE2025-06-19 更新50
[HICAM] climate projection; monthly SMI 1971-2098 in depth 0-30cm, full ensemble (88 members) cdf 1971 -2020, mHM, DE domain
Back up of the monthly Soil Moisture Index (SMI) simulated with mHM (https://mhm-ufz.org/) based on soil water content (SWC) in depth 0-30 cm at 0.015625deg spatial resolution, monthly time step 1971
DataCite Commons2024-10-08 更新10
Harrison Experimental Forest site, station Mississippi Division 10, Coastal, study of Palmer Drought Severity Index in units of dimensionless on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest)
DataONE2015-02-25 更新60
Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Goat Draw Meteorological Station (GTDR), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.
The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dr
DataCite Commons2024-07-31 更新30



