ScholarLens Back to search
2008•Heilongjiang MeteorologyRequires access

Quality Analysis of Prediction in Application of GRAPES and MM5

Chen Li

Open publisher page 0 citations

Abstract

Two limited regional mesoscale numerical model systems have been set up on the basis of GRAPES and MM5. Quality analysis of theirs are examined in application of forecasting temperature and precipitation of summer 2006. The results indicate: GRAPES and MM5 have great ability on predict. The temperature prediction of GRAPES bears comparison to that of MM5. The 0~24 h precipitaion prediction effect of GRAPES is superior to that of MM5, the 24~48 h of GRAPES is inferion to that of MM5. The productions of GRAPES and MM5 can be the basis of high resolution and high precision precipitaion.

About this research paper

What this paper is about

Two limited regional mesoscale numerical model systems have been set up on the basis of GRAPES and MM5. Quality analysis of theirs are examined in application of forecasting temperature and precipitation of summer 2006. The results indicate: GRAPES and MM5 have great ability on predict. The temperature prediction of GRAPES bears comparison to that of MM5. The 0~24 h precipitaion prediction effect of GRAPES is superior to that of MM5, the 24~48 h of GRAPES is inferion to that of MM5. The productions of GRAPES and MM5 can be the basis of high resolution and high precision precipitaion.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Two limited regional mesoscale numerical model systems have been set up on the basis of GRAPES and MM5. Quality analysis of theirs are examined in application of forecasting temperature and precipitation of summer 2006. The results indicate: GRAPES and MM5 have great ability on predict. The temperature prediction of GRAPES bears comparison to that of MM5. The 0~24 h precipitaion prediction effect of GRAPES is superior to that of MM5, the 24~48 h of GRAPES is inferion to that of MM5. The productions of GRAPES and MM5 can be the basis of high resolution and high precision precipitaion.

Key concepts: MM5, Mesoscale meteorology, Precipitation, Quality (philosophy), Environmental science, Geography, Meteorology, Physics

Back to paper searchBrowse research topicsOriginal source
Quality Analysis of Prediction in Application of GRAPES and MM5 — Research Paper | ScholarLens