Increasing the accuracy of the WRF-ARW numerical weather prediction model using Corine Land Cover and JAXA data

IF 0.5 Q3 GEOGRAPHY

Geographia Cassoviensis Pub Date : 2021-01-01 DOI:10.33542/gc2021-2-07

Tomáš Fedor, J. Hofierka

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引用次数: 1

Abstract

The geographic data play an important role in atmospheric and weather forecasting. They influence input physical parameters defining the energy balance and heat and moisture fluxes in the planetary boundary layer. The goal of this paper is to increase the accuracy of the widely used Weather Research and Forecasting (WRF) numerical prediction model using a more detailed, 100 m resolution Corine Land Cover 2018 (CLC) and Japanese Space Agency (JAXA) elevation data in comparison to global data from the United States Geological Survey (USGS) containing the MODIS LULC land cover and elevation data. The WRF-ARW variant of the model is applied to a study area of 50x50 km in the Košice region at a microscale level with a spatial resolution of 250 m for June 24, 2020. The GIS4WRF module in QGIS and other GIS tools are used to perform modelling and input and output data preparation and result analysis. The results for both datasets are compared to data measured in local weather stations and statistically evaluated. The use of higher-resolution geographical data improves the overall accuracy of the model for this microscale level.

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利用Corine土地覆盖和JAXA数据提高WRF-ARW数值天气预报模式的准确性

地理资料在大气和天气预报中起着重要的作用。它们影响决定行星边界层能量平衡和热湿通量的输入物理参数。本文的目标是使用更详细的100米分辨率Corine土地覆盖2018 (CLC)和日本航天局(JAXA)高程数据，与包含MODIS LULC土地覆盖和高程数据的美国地质调查局(USGS)全球数据相比，提高广泛使用的天气研究与预报(WRF)数值预测模型的准确性。该模式的WRF-ARW变体应用于Košice地区50 × 50 km的微尺度研究区域，空间分辨率为250 m，时间为2020年6月24日。利用QGIS中的GIS4WRF模块和其他GIS工具进行建模、输入输出数据准备和结果分析。将这两个数据集的结果与当地气象站测量的数据进行比较，并进行统计评估。使用更高分辨率的地理数据提高了模型在这一微尺度水平上的总体精度。

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来源期刊

Geographia Cassoviensis GEOGRAPHY-

CiteScore

0.80

自引率

0.00%

发文量

期刊介绍： Geographia Cassoviensis is a biannual peer-reviewed journal published by the Pavol Jozef Šafárik University in Košice since 2007. It is available both in print and open-access electronic version. The journal publishes original research articles from Geography and other closely-related research fields. Since 2016 the journal is indexed in SCOPUS and ERIH PLUS - European Reference Index for Humanities and Social Sciences, and since 2017 also in Emerging Sources Citation Index by Clarivate Analytics.