遇见数据集

Hydro-JULES: Global high-resolution drought datasets from 1981-2022

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DataCite Commons2023-07-07 更新2025-04-16 收录
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These are global scale high-resolution drought indices developed from a combination of precipitation and potential evapotranspiration datasets for the Hydro-JULES project. Climate Hazards group InfraRed Precipitation with Station data (CHIRPS), Multi-Source Weighted-Ensemble Precipitation (MSWEP) precipitation estimates, Global Land Evaporation Amsterdam Model (GLEAM) and Bristol Hourly potential evapotranspiration (hPET) estimates were used. The drought index is developed using the Standardized Precipitation-Evapotranspiration Index (SPEI). These high-resolution global scale drought indices are available from 1981-2022 at a monthly and 5km spatial resolution. The SPEI indices are available from 1-48 months. The datasets provide valuable information for the study and analysis of droughts at much higher resolution from global to local scale. These data were produced for Hydro-Jules (NE/S017380/1) and REACH (Foreign, Commonwealth and Development Office): Programme Code 201880.

本数据集为适配Hydro-JULES项目研发的全球尺度高分辨率干旱指数,由降水与潜在蒸散发数据集融合构建而成。所用数据包括气候危害组红外降水与站点数据融合产品(Climate Hazards group InfraRed Precipitation with Station data, CHIRPS)、多源加权集成降水(Multi-Source Weighted-Ensemble Precipitation, MSWEP)降水估算产品、全球陆地蒸发阿姆斯特丹模型(Global Land Evaporation Amsterdam Model, GLEAM)以及布里斯托尔小时尺度潜在蒸散发(Bristol Hourly potential evapotranspiration, hPET)估算结果。该干旱指数采用标准化降水蒸散指数(Standardized Precipitation-Evapotranspiration Index, SPEI)方法生成。这套全球尺度高分辨率干旱指数的时间跨度为1981年至2022年,空间分辨率为5km,时间分辨率为月尺度;SPEI指数的时间尺度覆盖1至48个月。本数据集可为全球至局地尺度的干旱研究与分析提供更高分辨率的宝贵数据支撑。本数据由Hydro-Jules(项目编号NE/S017380/1)与REACH项目(外交、联邦与发展办公室:项目代码201880)联合研制产出。

创建时间:
2023-07-07
搜集汇总
背景与挑战
背景概述
Hydro-JULES数据集是全球高分辨率干旱指数数据集,覆盖1981年至2022年,基于降水(CHIRPS、MSWEP)和潜在蒸散(GLEAM、hPET)数据,采用标准化降水蒸散指数(SPEI)方法计算,提供每月和5公里空间分辨率的数据,SPEI指数时间尺度为1至48个月,适用于从全球到局部尺度的干旱研究和分析。
以上内容由遇见数据集搜集并总结生成
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