2006Kyoto University Research Information Repository (Kyoto University)Open access

An Experimental Numerical Weather Prediction in Indochina Region with a Meso-Scale Model

Palikone Thalongsengchanh, Tri Wahyu Hadi, Masanori Niwano, Shigenori Otsuka, Shigeo Yoden

Open full text 1 citations

Abstract

We perform a downscaling hindcast experiment in Indochina region with a fine-mesh meso-scale regional model under the assumption of the "perfect forecast" produced by a global numerical weather prediction model. The experiment is done for July and August in the wet Southwest Monsoon period. Validations of the downscaling hindcasts are done with surface station data of temperature and accumulated rainfall in Lao PDR. Some improvements in the downscaling hindcast are attained as a result of the better resolution of the surface topography. Further application of this kind of downscaling forecasts is discussed.

Open-access reader

About this research paper

What this paper is about

We perform a downscaling hindcast experiment in Indochina region with a fine-mesh meso-scale regional model under the assumption of the "perfect forecast" produced by a global numerical weather prediction model. The experiment is done for July and August in the wet Southwest Monsoon period. Validations of the downscaling hindcasts are done with surface station data of temperature and accumulated rainfall in Lao PDR. Some improvements in the downscaling hindcast are attained as a result of the better resolution of the surface topography. Further application of this kind of downscaling forecasts is discussed.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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

We perform a downscaling hindcast experiment in Indochina region with a fine-mesh meso-scale regional model under the assumption of the "perfect forecast" produced by a global numerical weather prediction model. The experiment is done for July and August in the wet Southwest Monsoon period. Validations of the downscaling hindcasts are done with surface station data of temperature and accumulated rainfall in Lao PDR. Some improvements in the downscaling hindcast are attained as a result of the better resolution of the surface topography. Further application of this kind of downscaling forecasts is discussed.

Key concepts: Downscaling, Hindcast, Climatology, Environmental science, Meteorology, Scale (ratio), Numerical weather prediction, Monsoon

Related papers

Back to paper searchBrowse research topicsOriginal source
An Experimental Numerical Weather Prediction in Indochina Region with a Meso-Scale Model — Research Paper | ScholarLens