Comparison Tests of the Integration Effect of Surface Temperature by LAPS and STMAS

Abstract

To test fusion effects of LAPS( Local Analysis and Prediction System) and STMAS( Space Time Multiscale Analysis System) system at different spatial scales,different resolution conditions on the surface temperature,LAPS and STMAS fusion test were performed in Beijing,North China and the Country 3 different areas,using the regional automatic weather station observations and GFS( Global Forecast System) background information on 1,5,10 and 20 km four kinds of grid resolution,the differences of LAPS and STMAS fusion effect was analyzed from algorithm angle,and a year of hourly fusion analysis results by LAPS and STMAS was statistical analyzed using the national automatic station data. The results showed that: LAPS and STMAS both have good performance in the observation-intensive areas,STMAS can resolve the small features in the observations,and the fusion results by STMAS are more closer to the actual observation and that by LAPS relatively smooth obvious,and possibly losing observational information; the confusion of the longwave and shortwave information in data sparse areas can be avoided because of the multi-scale analysis of STMAS that the background field can be corrected more efficiently using observations; in addition,the irrational nature of the terrain height adjustment has affect the fusion effect of LAPS and STMAS in the mountains.