Stretched Boundary Layer Water Vapor Interpolation Algorithm for ECMWF Data
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摘要: 针对欧洲中期数值天气预报中心(ECMWF)数据在研究小区域气象时空间分辨率较低的问题,研究了基于边界层伸缩的空间水汽加密思想,建立了基于ECMWF的空间水汽、地表气压和地表温度的加密模型。该模型可依据加密区域DEM分辨率实现任意密度的加密结果。利用美国GPSIPW示范网络中夏季连续两个月的GPS水汽观测值和地表实测气象数据进行了实验,结果表明,该模型结果较ECMWF原始数据,在空间水汽、地表气压和地表温度的精度上均有较大提高。Abstract: Atmospheric precipitable water vapor is an important element of the meteorological and meteorological disaster forecast. Using the ECMWF data for regional meteorological research is one of the current research focuses.For the problem caused by the low spatial resolution of the ECMWF data in studying the small regional meteorologicala，we studied the ECMWF water vapor interpolation idea with the Stretched Boundary Layer，and we established the model and realized it.This model can be used to interpolate the ECMWF water vapor，surface pressure and surface temperature. We can obtain the results in any density based on region DEM resolution. The model is tested with the UPS water vapor observations and surface meteorological data from the UPS-IPW network of the U.S.The results show that the model can improve the accuracy greatly on the ECMWF water vapor，surface pressure and surface temperature compared to the raw ECMWF data.
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期刊类型引用(2)
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