WRFtailor: A Toolkit for Tailoring the WRF Model Input Data

IF 2.4 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Geoscience Data Journal Pub Date : 2025-09-16 DOI:10.1002/gdj3.70031

Amirhossein Nikfal

引用次数: 0

Abstract

WRFtailor is an open-source toolkit offering a set of distinct functionalities to customise and tailor the Weather Research and Forecasting (WRF) model input data, such as WPS geographical data or WRF/Chem emissions data. Before running the toolkit, the user should specify an area of interest (AOI) from the WRF input file, a variable to be tailored within the AOI, and a polynomial of variables that will replace the specified variable. WRFtailor is a Linux-based toolkit, written in Shell and NCAR Command Language (NCL) scripts, and is available at https://github.com/anikfal/wrftailor.

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WRFtailor：裁剪WRF模型输入数据的工具包

WRFtailor是一个开源工具包，提供了一组独特的功能来定制和定制天气研究与预报（WRF）模型输入数据，如WPS地理数据或WRF/Chem排放数据。在运行工具包之前，用户应该从WRF输入文件中指定一个感兴趣的区域（AOI）、要在AOI中定制的变量，以及替换指定变量的变量多项式。WRFtailor是一个基于linux的工具包，用Shell和NCAR命令语言（NCL）脚本编写，可从https://github.com/anikfal/wrftailor获得。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES

CiteScore

5.90

自引率

9.40%

发文量

审稿时长

4 weeks

期刊介绍： Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.