Important advances in the meso-scale numerical heavy rainfall prediction model in China
The short-range numerical weather prediction model has been developed as a tool to forecast the torrential rainfall since it has the capability to describe the dynamic convergence, fundamental physics and the real topography reasonably when the horizontal resolution is increased to a few tens of kil...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Torrential Rain and Disasters
2019-10-01
|
Series: | 暴雨灾害 |
Subjects: | |
Online Access: | http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2019.05.009 |
_version_ | 1797786487804133376 |
---|---|
author | Rui CHENG Youping XU Chunguang CUI Jing HUANG Juan LIU Baogang JIN Chunli GU Wei SUN |
author_facet | Rui CHENG Youping XU Chunguang CUI Jing HUANG Juan LIU Baogang JIN Chunli GU Wei SUN |
author_sort | Rui CHENG |
collection | DOAJ |
description | The short-range numerical weather prediction model has been developed as a tool to forecast the torrential rainfall since it has the capability to describe the dynamic convergence, fundamental physics and the real topography reasonably when the horizontal resolution is increased to a few tens of kilometers. The nearly fifty years of development in the meso-scale numerical prediction model for heavy rainfall has witnessed great changes in the dynamical core from hydrostatic to non-hydrostatic, the resolution from coarse to fine, the physical processes from simple to comprehensive, cloud and precipitation forecast from implicit to explicit and initialization from simple interpolation to complicated assimilation. In this paper, we mainly focus on dynamical frames, physical packages and initialization techniques of the meso-scale numerical heavy rainfall prediction model to analyze its important advances at home and abroad. Some future directions of the model development are also suggested. The review will be helpful to understand the current status and development trend of meso-scale model as an important tool to study and forecast heavy rainfall. |
first_indexed | 2024-03-13T01:09:36Z |
format | Article |
id | doaj.art-44ebdcdb9ae94f2d8f7e8b59a6965e99 |
institution | Directory Open Access Journal |
issn | 2097-2164 |
language | zho |
last_indexed | 2024-03-13T01:09:36Z |
publishDate | 2019-10-01 |
publisher | Editorial Office of Torrential Rain and Disasters |
record_format | Article |
series | 暴雨灾害 |
spelling | doaj.art-44ebdcdb9ae94f2d8f7e8b59a6965e992023-07-06T05:00:07ZzhoEditorial Office of Torrential Rain and Disasters暴雨灾害2097-21642019-10-0138547248210.3969/j.issn.1004-9045.2019.05.0092603Important advances in the meso-scale numerical heavy rainfall prediction model in ChinaRui CHENG0Youping XU1Chunguang CUI2Jing HUANG3Juan LIU4Baogang JIN5Chunli GU6Wei SUN7State Key Laboratory of Geo-Information Engineering, Xi'an 710054State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029Institute of Heavy Rain, China Meteorological Administrator, Wuhan 430074Beijing Institute of Applied Meteorology, Beijing 100029Beijing Institute of Applied Meteorology, Beijing 100029Beijing Institute of Applied Meteorology, Beijing 100029Beijing Institute of Applied Meteorology, Beijing 100029State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029The short-range numerical weather prediction model has been developed as a tool to forecast the torrential rainfall since it has the capability to describe the dynamic convergence, fundamental physics and the real topography reasonably when the horizontal resolution is increased to a few tens of kilometers. The nearly fifty years of development in the meso-scale numerical prediction model for heavy rainfall has witnessed great changes in the dynamical core from hydrostatic to non-hydrostatic, the resolution from coarse to fine, the physical processes from simple to comprehensive, cloud and precipitation forecast from implicit to explicit and initialization from simple interpolation to complicated assimilation. In this paper, we mainly focus on dynamical frames, physical packages and initialization techniques of the meso-scale numerical heavy rainfall prediction model to analyze its important advances at home and abroad. Some future directions of the model development are also suggested. The review will be helpful to understand the current status and development trend of meso-scale model as an important tool to study and forecast heavy rainfall.http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2019.05.009torrential rainfallmeso-scale numerical modeldynamical corephysical parameterizationinitialization |
spellingShingle | Rui CHENG Youping XU Chunguang CUI Jing HUANG Juan LIU Baogang JIN Chunli GU Wei SUN Important advances in the meso-scale numerical heavy rainfall prediction model in China 暴雨灾害 torrential rainfall meso-scale numerical model dynamical core physical parameterization initialization |
title | Important advances in the meso-scale numerical heavy rainfall prediction model in China |
title_full | Important advances in the meso-scale numerical heavy rainfall prediction model in China |
title_fullStr | Important advances in the meso-scale numerical heavy rainfall prediction model in China |
title_full_unstemmed | Important advances in the meso-scale numerical heavy rainfall prediction model in China |
title_short | Important advances in the meso-scale numerical heavy rainfall prediction model in China |
title_sort | important advances in the meso scale numerical heavy rainfall prediction model in china |
topic | torrential rainfall meso-scale numerical model dynamical core physical parameterization initialization |
url | http://www.byzh.org.cn/cn/article/doi/10.3969/j.issn.1004-9045.2019.05.009 |
work_keys_str_mv | AT ruicheng importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT youpingxu importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT chunguangcui importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT jinghuang importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT juanliu importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT baogangjin importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT chunligu importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina AT weisun importantadvancesinthemesoscalenumericalheavyrainfallpredictionmodelinchina |