降水与相对湿度协同算法研究

本文利用天津地区国家气象观测站2016-2017年常规观测数据和欧洲中心数值模式数据,建立降水和相对湿度协同统计订正算法并检验评估,结果表明：观测资料显示降水量级越小,其相对湿度的离散度越大,且日变化特征。雨量越大、降水持续时间越长,相对湿度稳定在90%以上。模式预报降水时的相对湿度分布离散度较大,需订正。基于降水与相对湿度的统计关系,建立的降水和相对湿度协同算法,算法对于小雨的相对湿度订正偏高,而对于中雨以上订正偏低；协同订正效果不理想的可能原因是模式数据的时间分辨率不高,协同统计算法还有待进一步优化。

Research on Collaborative Algorithm between Precipitation and Relative Humidity

Based on the observation data of Tianjin National Meteorological Observatory and the EC data from January to Decembe 2016 - 2017 , this paper establishes a coordinated revised statistical algorithm for precipitation and relative humidity. The results show that the smaller the precipitation level, the greater the dispersion of relative humidity and the diurnal variation of relative humidity.The larger the rainfall, the longer the duration of precipitation, the more stable the relative humidity. The relative humidity distribution of the model forecast with precipitation has a large degree of dispersion, which can not be directly applied in operation, so it needs to be revised. The results show that the correction of relative humidity is better for light rain, but lower for moderate rain.