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利用与 CHIRPS 兼容的 NCEP GEFS 降水预报提高早期预警能力。

Advancing early warning capabilities with CHIRPS-compatible NCEP GEFS precipitation forecasts.

机构信息

University of California Santa Barbara, Climate Hazards Center and Department of Geography, Santa Barbara, USA.

出版信息

Sci Data. 2022 Jun 30;9(1):375. doi: 10.1038/s41597-022-01468-2.

Abstract

CHIRPS-GEFS is an operational data set that provides daily bias-corrected forecasts for next 1-day to ~15-day precipitation totals and anomalies at a quasi-global 50-deg N to 50-deg S extent and 0.05-degree resolution. These are based on National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System version 12 (GEFS v12) precipitation forecasts. CHIRPS-GEFS forecasts are compatible with Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) data, which is actively used for drought monitoring, early warning, and near real-time impact assessments. A rank-based quantile matching procedure is used to transform GEFS v12 "reforecast" and "real-time" forecast ensemble means to CHIRPS spatial-temporal characteristics. Matching distributions to CHIRPS makes forecasts better reflect local climatology at finer spatial resolution and reduces moderate-to-large forecast errors. As shown in this study, having a CHIRPS-compatible version of the latest generation of NCEP GEFS forecasts enables rapid assessment of current forecasts and local historical context. CHIRPS-GEFS effectively bridges the gap between observations and weather predictions, increasing the value of both by connecting monitoring resources (CHIRPS) with interoperable forecasts.

摘要

CHIRPS-GEFS 是一个业务化数据集,提供全球准 50°N 至 50°S 范围内、0.05°分辨率的逐日 1 至 15 天降水总量和距平的有偏订正预报。这些预报基于美国国家环境预报中心(NCEP)全球集合预报系统第 12 版(GEFS v12)降水预报。CHIRPS-GEFS 预报与气候危害中心红外降水与站(CHIRPS)数据兼容,该数据被积极用于干旱监测、预警和临近实时影响评估。利用基于排序的分位数匹配程序,将 GEFS v12“再预报”和“实时”预报集合平均值转换为 CHIRPS 的时空特征。使预报与 CHIRPS 分布匹配,可改善在更精细空间分辨率上对局部气候的反映,减少中等至较大的预报误差。如本研究所示,拥有最新一代 NCEP GEFS 预报的 CHIRPS 兼容版本可实现对当前预报和本地历史背景的快速评估。CHIRPS-GEFS 有效地弥合了观测与天气预报之间的差距,通过将监测资源(CHIRPS)与可互操作的预报相连接,提高了两者的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56a1/9246965/92017f0e0405/41597_2022_1468_Fig2_HTML.jpg

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