A 5-km gridded product development of daily temperature and precipitation for Bangladesh, Nepal, and Pakistan from 1981 to 2016

IF 3.3 3区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Geoscience Data Journal Pub Date : 2023-09-06 DOI:10.1002/gdj3.217

Shaukat Ali, Zulfiqar A. Bhutta, Michelle S. Reboita, Muhammad Arif Goheer, Shiva Ebrahimi, Jose Roberto Rozante, Rida S. Kiani, Sher Muhammad, Firdos Khan, Md Mizanur Rahman, Madan L. Shreshta, Li Dan

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引用次数: 0

Abstract

Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.

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1981 - 2016年孟加拉国、尼泊尔和巴基斯坦日温度和降水的5公里格网产品发展

科学界已经做出了许多努力来制作具有高空间分辨率的网格数据集，因为它们对气候变化评估、影响研究、决策等至关重要。本研究符合这一背景，并描述了通过将孟加拉国、尼泊尔和巴基斯坦1981年至2016年气象站的观测数据与ERA5再分析相结合，制备降水量与最低和最高温度的5公里网格乘积的方法。介绍了台站数据质量控制的分步方法和5km网格数据的开发。此外，我们使用5公里的数据集来显示这三个国家的主要气候特征，这有助于与文献中的其他数据源进行比较。

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.