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CariCOOS: Improving high-resolution numerical weather prediction for the northeast Caribbean region

机译:CariCOOS:改善东北加勒比海地区的高分辨率数值天气预报

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The northeast Caribbean as other insular regions lack reliable high-resolution weather forecast data of 10-meter winds to serve as the engine of numerical ocean models targeting high resolution waves and currents forecasts for nearshore areas. This issue is exacerbated due to the complex orographic features of the Antilles, which govern topographic shadowing and incoming solar radiation fields responsible for the diurnally forced convection typical of tropical island weather. A solution to this problem is currently under evaluation for the CariCOOS region. This solution employs both dynamical numerical solvers of the Weather Research and Forecasting (WRF) Model, which are referred to as the ARW (Advanced Research WRF), and the NMM (Non-hydrostatic Mesoscale Model) cores. CariCOOS research and development efforts are executed in collaboration with the National Weather Service Weather Forecast Office San Juan (NWS WFO SJU). CariCOOS current operational WRF model setups are based on the NMM core at resolutions of 6-km, 2-km, and 1-km. These models target short and medium range forecast; the latest experimental WRF model setup is based on the ARW with resolutions of up to 500-m. The WRF-ARW setup is currently under evaluation to improve very-short-term weather forecast, in support of maritime operations of high-traffic ports and harbors (Bay of San Juan, PR, and Port of Yabucoa, PR). Noteworthy improvement have been achieved as evidenced by model skill assessments of forecasted wind speed, and wind direction of these WRF model setups when compared to in-situ observations of CariCOOS assets (land base weather stations and coastal buoys). The numerical weather prediction forecasting improvements realized via the implementation of both WRF dynamical cores are primarily driven by the increase in horizontal resolution. The most prominent improvements in weather forecasts is were achieved for the leeward side of Puerto Rico and U.S. Virgin Islands and harbor regions when sim- lated at very fine horizontal grid spacing resolution (less than 1-km). Considering forecast lead time requirements of the NWS WFO SJU, CariCOOS researchers constantly strive to optimize WRF model setups to its limit. Details of the various CariCOOS WRF model setups and implementations will be presented in this paper along with validation statistics.
机译:与其他岛屿地区一样,东北加勒比海地区缺乏可靠的10米高风速天气预报数据,无法用作针对高分辨率海浪和近岸海流预报的数值海洋模型的引擎。由于安的列斯群岛复杂的地形特征,该问题更加严重,这些特征控制着地形阴影和入射的太阳辐射场,这些辐射场是热带岛屿天气典型的昼夜强迫对流的原因。目前正在评估CariCOOS地区的解决方案。该解决方案使用了称为“ ARW”(高级研究WRF)和“ NMM”(非静水中尺度模型)核心的天气研究和预报(WRF)模型的动态数值求解器。 CariCOOS的研发工作是与国家气象局天气预报办公室San Juan(NWS WFO SJU)合作进行的。 CariCOOS当前可操作的WRF模型设置基于NMM核心,分辨率为6公里,2公里和1公里。这些模型的目标是中短期预测。最新的实验WRF模型设置基于ARW,分辨率高达500-m。目前正在评估WRF-ARW设置,以改善超短期天气预报,以支持高流量港口和港口(PR的圣胡安湾和PR的Yabucoa港)的海上作业。与对CariCOOS资产(陆基气象站和沿海浮标)的现场观测相比,通过预测风速的模型技能评估以及这些WRF模型设置的风向证明,已经取得了显着改善。通过实现两个WRF动态核心实现的数值天气预报预报改进主要是由水平分辨率的提高所驱动。当以非常精细的水平网格间距分辨率(小于1公里)进行模拟时,波多黎各和美属维尔京群岛以及港口地区的背风面实现了天气预报方面最显着的改进。考虑到NWS WFO SJU的预测交货时间要求,CariCOOS研究人员不断努力将WRF模型设置优化到极限。本文将介绍各种CariCOOS WRF模型设置和实现的详细信息以及验证统计信息。

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