Regional Model Nesting within GFS Daily Forecasts Over West Africa

L. Druyan, M. Fulakeza, P. Lonergan, R. Worrell
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引用次数: 3

Abstract

The study uses the RM3, the regional climate model at the Center for Climate Systems Research of Columbia University and the NASA/Goddard Institute for Space Studies (CCSR/GISS). The paper evaluates 30 48-hour RM3 weather forecasts over West Africa during September 2006 made on a 0.5° grid nested within 1° Global Forecast System (GFS) global forecasts. September 2006 was the Special Observing Period #3 of the African Monsoon Multidisciplinary Analysis (AMMA). Archived GFS initial conditions and lateral boundary conditions for the simulations from the US National Weather Service, National Oceanographic and Atmospheric Administration were interpolated four times daily. Results for precipitation forecasts are validated against Tropical Rainfall Measurement Mission (TRMM) satellite estimates and data from the Famine Early Warning System (FEWS), which includes rain gauge measurements, and forecasts of circulation are compared to reanalysis 2. Performance statistics for the precipitation forecasts include bias, root-mean-square errors and spatial correlation coefficients. The nested regional model forecasts are compared to GFS forecasts to gauge whether nesting provides additional realistic information. They are also compared to RM3 simulations driven by reanalysis 2, representing "high potential skill" forecasts, to gauge the sensitivity of results to lateral boundary conditions. Nested RM3/GFS forecasts generate excessive moisture advection toward West Africa, which in turn causes prodigious amounts of model precipitation. This problem is corrected by empirical adjustments in the preparation of lateral boundary conditions and initial conditions. The resulting modified simulations improve on the GFS precipitation forecasts, achieving time-space correlations with TRMM of 0.77 on the first day and 0.63 on the second day. One real- time RM3/GFS precipitation forecast made at and posted by the African Centre of Meteorological Application for Development (ACMAD) in Niamey, Niger is shown.
西非GFS每日预报中的区域模型嵌套
该研究使用了哥伦比亚大学气候系统研究中心和美国宇航局/戈达德空间研究所(CCSR/GISS)的区域气候模型RM3。本文评估了2006年9月在1°全球预报系统(GFS)全球预报内嵌套的0.5°网格上对西非的30个48小时RM3天气预报。2006年9月是非洲季风多学科分析(AMMA)的第三个特别观察期。美国国家气象局、国家海洋和大气管理局存档的模拟GFS初始条件和侧向边界条件每天插值4次。降水预报结果与热带降雨测量任务(TRMM)卫星估计和饥荒预警系统(FEWS)的数据(包括雨量计测量数据)进行了验证,环流预报与再分析2进行了比较。降水预报的性能统计包括偏差、均方根误差和空间相关系数。将嵌套的区域模型预测与GFS预测进行比较,以衡量嵌套是否提供了额外的现实信息。它们还与由再分析2驱动的RM3模拟(代表“高潜力技能”预测)进行比较,以衡量结果对横向边界条件的敏感性。嵌套的RM3/GFS预报会对西非产生过多的水汽平流,从而导致大量的模式降水。在准备横向边界条件和初始条件时,可以通过经验调整来纠正这个问题。修正后的模拟结果改善了GFS的降水预报,与TRMM的时空相关性在第一天为0.77,第二天为0.63。这是由位于尼日尔尼亚美的非洲气象应用促进发展中心(ACMAD)发布的RM3/GFS实时降水预报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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