Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Radar Data Assimination in WRF Model to Forecast Heavy Rainfall at Ho Chi Minh City
View through CrossRef
Abstract: This article using high resolution WRF model simulation on a heavy rainfall in summer at Hochiminh city by using radar data to assimilation initial conditions with 3DVAR method, the WRF3Dvar running simulation with two modes: cold start and warm start combine with three cases: only Reflectivity of radar; Reflectivity and Doppler radar radial wind observations; Reflectivity, Doppler radar radial wind, and GTS data. The background error used was CV7 created from 6 months forecast in South Vietnam. Radar data before assimilation was quality control and thinned to remove noise and create the best observation. 24 station rainfall in South Vietnam using to an evaluation of WRF model simulation. Results show assimilation only reflectivity will affect to variable qcloud, qvapor and qrain on the initial condition of model and assimilation only Doppler radar radial wind improve wind. Compare each case show warm start simulation precipitation better than the cold start, assimilation both Doppler radar radial wind observations, the reflectivity of radar and GTS better than another case.
Key words: WRFDA,RADAR
Vietnam National University Journal of Science
Title: Radar Data Assimination in WRF Model to Forecast Heavy Rainfall at Ho Chi Minh City
Description:
Abstract: This article using high resolution WRF model simulation on a heavy rainfall in summer at Hochiminh city by using radar data to assimilation initial conditions with 3DVAR method, the WRF3Dvar running simulation with two modes: cold start and warm start combine with three cases: only Reflectivity of radar; Reflectivity and Doppler radar radial wind observations; Reflectivity, Doppler radar radial wind, and GTS data.
The background error used was CV7 created from 6 months forecast in South Vietnam.
Radar data before assimilation was quality control and thinned to remove noise and create the best observation.
24 station rainfall in South Vietnam using to an evaluation of WRF model simulation.
Results show assimilation only reflectivity will affect to variable qcloud, qvapor and qrain on the initial condition of model and assimilation only Doppler radar radial wind improve wind.
Compare each case show warm start simulation precipitation better than the cold start, assimilation both Doppler radar radial wind observations, the reflectivity of radar and GTS better than another case.
Key words: WRFDA,RADAR.
Related Results
Seasonal prediction of Indian summer monsoon using WRF: A dynamical downscaling perspective
Seasonal prediction of Indian summer monsoon using WRF: A dynamical downscaling perspective
Abstract
Seasonal forecasting of the Indian summer monsoon by dynamically downscaling the CFSv2 output using a high resolution WRF model over the hindcast period of 1982–20...
UTILIZAÇÃO DE PREVISÕES DE PRECIPITAÇÃO DE MODELOS ATMOSFÉRICOS WRF, GFS E GEFS NA BACIA HIDROGRÁFICA DO RIO AVE (PORTUGAL) PARA GESTÃO OPERACIONAL DE UM SISTEMA DE DRENAGEM
UTILIZAÇÃO DE PREVISÕES DE PRECIPITAÇÃO DE MODELOS ATMOSFÉRICOS WRF, GFS E GEFS NA BACIA HIDROGRÁFICA DO RIO AVE (PORTUGAL) PARA GESTÃO OPERACIONAL DE UM SISTEMA DE DRENAGEM
<p>Os sistemas de previsão e alerta utilizados na gestão de recursos hídricos e operação de sistemas de drenagem tiveram desenvolvimentos significativos nos últimos anos. Ess...
Urban effects on the Extreme Precipitation: Advanced Statistical Analysis and Numerical Weather Prediction Model at Convective Scales
Urban effects on the Extreme Precipitation: Advanced Statistical Analysis and Numerical Weather Prediction Model at Convective Scales
Chennai is the fourth largest metropolitan city in India and being a coastal city, this region receives extreme precipitation events, especially during the North-East monsoon seaso...
A Review on the Synergistic Approaches for Heavy Metals Bioremediation: Harnessing the Power of Plant-Microbe Interactions
A Review on the Synergistic Approaches for Heavy Metals Bioremediation: Harnessing the Power of Plant-Microbe Interactions
Heavy metals contamination is a serious threat to all life forms. Long term exposure of heavy metals can lead to different life-threatening medical conditions including cancers of ...
Using an Artificial Neural Network to improve operational wind prediction in a small unresolved valley
Using an Artificial Neural Network to improve operational wind prediction in a small unresolved valley
<p>Forecasting valley winds over complex terrain using a coarse horizontal resolution mesoscale model is a challenging task. Mesoscale models such as<br>...
Regularity of rainfall timing across Ethiopia: implications for crop production
Regularity of rainfall timing across Ethiopia: implications for crop production
<p>Rainfall timing is a key parameter that farmers rely on to match the cropping season with the time window over which seasonal precipitation provides adequate soil ...
Comparisons of Retention and Lag Characteristics of Rainfall–Runoff under Different Rainfall Scenarios in Low-Impact Development Combination: A Case Study in Lingang New City, Shanghai
Comparisons of Retention and Lag Characteristics of Rainfall–Runoff under Different Rainfall Scenarios in Low-Impact Development Combination: A Case Study in Lingang New City, Shanghai
An increasing focus has been given to stormwater management using low-impact development (LID), which is regarded as a “near-nature” concept and is utilized to manage and reduce su...
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
This study presents the impact of cumulative rainfall on landslides, following the analysis of cumulative rainfall for 20 days before the landslide. For the 1520 landslides analyze...