The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes.
The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes.
复制标题
带有站点的气候危害红外降水 - 一种新的环境记录，用于监测极端。
DOI：
10.1038/sdata.2015.66
复制
发表时间：
2015-12-08
期刊：
影响因子：
9.8
通讯作者：
Michaelsen J
中科院分区：
文献类型：
--
作者：
Funk C;Peterson P;Landsfeld M;Pedreros D;Verdin J;Shukla S;Husak G;Rowland J;Harrison L;Hoell A;Michaelsen J
气候灾害组红外降水站（CHIRPS）数据集建立在以前的方法，以“智能”插值技术和高分辨率，长时间的记录降水估计的基础上，红外冷云持续时间（CCD）观测。该算法i）是围绕0.05°气候学建立的，该气候学结合了卫星信息以表示稀疏测量的位置，ii）结合了基于CCD的1981年至今的每日、五日和每月0.05°降水估计，iii）混合台站数据以产生延迟约为2天的初步信息产品和平均延迟约为3周的最终产品，以及iv）使用结合CCD估计的空间相关结构的新颖混合过程来分配内插权重。我们提出了CHIRPS算法，全球和区域验证结果，并展示了如何CHIRPS可以用来量化降水减少和气温上升在非洲之角的水文影响。使用可变入渗能力模型，我们表明，CHIRPS可以支持有效的水文预报和趋势分析在埃塞俄比亚东南部。
The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly 1981-present 0.05° CCD-based precipitation estimates, iii) blends station data to produce a preliminary information product with a latency of about 2 days and a final product with an average latency of about 3 weeks, and iv) uses a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights. We present the CHIRPS algorithm, global and regional validation results, and show how CHIRPS can be used to quantify the hydrologic impacts of decreasing precipitation and rising air temperatures in the Greater Horn of Africa. Using the Variable Infiltration Capacity model, we show that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.