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HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations (at 1.0° and 2.5°, at 0.5° only Europe)

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DataCite Commons2020-07-29 更新2024-07-13 收录
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https://opendata.dwd.de/climate_environment/GPCC/html/HOGP_V002.html
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资源简介:
This dataset contains global precipitation observations combined from satellite and rain gauge data over ocean and over land, respectively. It spans the years 1988-2015 and has a spatial resolution of 2.5°×2.5°, 1.0°×1.0°, and 0.5°×0.5° (Europe). Satellite observations are based on SSM/I Level 2 and SSMIS data of the HOAPS 4.0 dataset of CM SAF (DOI: 10.5676/EUM_SAF_CM/HOAPS/V002 ). These data have been extended with observations from the AMSR-E and TMI microwave imager platform. The basic rain rate retrieval is based on a neuronal network approach. The retrieval excludes sea-ice covered regions. Uncertainty estimations are given as standard deviation of pixel values in one grid cell. Precipitation observations over land are included from the GPCC Full Data Daily Version 2018 product (DOI: 10.5676/DWD_GPCC/FD_D_V2018_100 ). Relative precipitation anomalies at the stations are interpolated by means of ordinary block kriging. For these data, uncertainty information is included as well. On coastal edges data gaps are interpolated. This dataset is recommended to be used for analyses of extreme events and related statistics at daily resolution as well as for verification and validation purposes of other precipitation products or climate models.This dataset is a successor of the HOAPS/GPCC global daily precipitation data record version 1 (10.5676/DWD_CDC/HOGP_050/V001, 10.5676/DWD_CDC/HOGP_100/V001, and 10.5676/DWD_CDC/HOGP_250/V001). This dataset has been created within the DAPAGLOCO project (Daily precipitation analysis for the validation of global medium-range climate predictions operationalized). The DAPAGLOCO project was part of the MiKlip project framework (Mittelfristige Klimaprognosen) and funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF).

本数据集整合了分别覆盖海洋与陆地区域的卫星及雨量计降水观测资料,时间跨度为1988年至2015年,空间分辨率包含2.5°×2.5°、1.0°×1.0°以及0.5°×0.5°(仅欧洲区域)。卫星观测数据基于气候监测卫星应用设施(CM SAF)HOAPS 4.0数据集的SSM/I二级产品与SSMIS数据,其DOI为10.5676/EUM_SAF_CM/HOAPS/V002。该数据集还补充了AMSR-E与TMI微波成像仪平台的观测数据。基础降雨率反演采用神经网络方法实现,且反演过程会剔除海冰覆盖区域。不确定性以单个网格单元内像素值的标准差形式给出。陆面降水观测数据源自全球降水气候学中心(GPCC)2018版全数据逐日产品,DOI为10.5676/DWD_GPCC/FD_D_V2018_100。站点处的相对降水距平通过普通块克里金法进行插值处理,该套陆面数据同样附带不确定性信息。海岸带区域的数据空缺也已完成插值填补。本数据集推荐用于逐日分辨率下的极端事件及其相关统计分析,同时也可用于其他降水产品或气候模型的验证与校验工作。本数据集是HOAPS/GPCC全球逐日降水数据集第1版(DOI分别为10.5676/DWD_CDC/HOGP_050/V001、10.5676/DWD_CDC/HOGP_100/V001及10.5676/DWD_CDC/HOGP_250/V001)的后续版本。 本数据集由DAPAGLOCO项目(面向业务化全球中期气候预报验证的逐日降水分析项目)研发完成。该项目隶属于MiKlip项目框架(中期气候预报),并由德国联邦教育与研究部(Bundesministerium für Bildung und Forschung, BMBF)资助。
提供机构:
Global Precipitation Climatology Centre (GPCC, https://gpcc.dwd.de ) at Deutscher Wetterdienst (DWD)
创建时间:
2019-02-28
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是一个全球日降水数据记录,结合了卫星(海洋区域)和雨量计(陆地区域)观测,覆盖1988年至2015年,提供2.5°、1.0°和0.5°(仅欧洲)三种空间分辨率。关键特点包括包含不确定性估计、适用于极端事件分析和气候模型验证,是HOAPS/GPCC数据记录的第2版,数据格式为NetCDF。
以上内容由遇见数据集搜集并总结生成
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