ClimUAd: Observation-Based Gridded Daily Climate Data for Ukraine, 1946–2020

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Volodymyr Osadchyi, Oleg Skrynyk, Vladyslav Sidenko, Enric Aguilar, Jose Guijarro, Tamás Szentimrey, Olesya Skrynyk, Zita Bihari, Liudmyla Palamarchuk, Dmytro Oshurok, Igor Kravchenko, Dmytro Pinchuk
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Abstract

In this work, we present results of the development of an observation-based gridded climate dataset (ClimUAd), which covers the territory of Ukraine for the period of 1946–2020. The spatial resolution of the developed data is 0.1° × 0.1° (approximately 10 km in both longitude and latitude directions), with a 1-day time step. Four essential climate variables are included in the dataset, namely daily sums of atmospheric precipitation and daily minimum, mean, and maximum air temperature. The created gridded product is based on the complete collection of station measurements performed at 178 weather stations in Ukraine. Quality control, homogenisation, and gridding of the station time series were performed by means of the widely used software, INQC, Climatol, and MISH, respectively. The created gridded time series were statistically compared with several existing datasets that have the same spatial resolution (i.e., previously developed gridded monthly data of Ukraine, ERA5-Land and E-OBS) on monthly and daily scales. The comparison showed good accordance with the Ukrainian monthly data (partly obtained from other paper sources than the daily data and homogenised with HOMER software) and acceptable agreement with ERA5-Land and E-OBS data. The developed data are of great importance as they were built with the involvement of as many real weather measurements as possible, representing a denser network than those included in continental/global gridded products. They can be used for regional climate monitoring and as the reference for a wide variety of climatological applications for the territory of Ukraine. The dataset is freely available for research purposes and can be downloaded from the data repository of the Ukrainian Hydrometeorological Institute.

Abstract Image

cliuad:乌克兰1946-2020年基于观测的网格化日气候资料
在这项工作中,我们介绍了基于观测的网格化气候数据集(ClimUAd)的开发结果,该数据集涵盖了乌克兰1946-2020年期间的领土。开发数据的空间分辨率为0.1°× 0.1°(经纬度方向均约为10 km),时间步长为1 d。该数据集包括四个基本气候变量,即日大气降水和日最低、平均和最高气温。创建的网格产品是基于乌克兰178个气象站进行的站测量的完整集合。利用INQC、Climatol和MISH软件分别对台站时间序列进行质量控制、均质化和网格化。将创建的网格化时间序列与具有相同空间分辨率的几个现有数据集(即先前开发的乌克兰网格化月度数据、ERA5-Land和E-OBS)在月尺度和日尺度上进行统计比较。比较结果显示,乌克兰的月度数据(部分数据来自其他纸质来源,而不是每日数据,并使用HOMER软件进行了均质化)与ERA5-Land和E-OBS数据的一致性良好。开发的数据非常重要,因为它们是在尽可能多的实际天气测量的参与下建立的,代表了一个比大陆/全球网格产品更密集的网络。它们可用于区域气候监测,并作为乌克兰境内各种气候学应用的参考。该数据集可免费用于研究目的,并可从乌克兰水文气象研究所的数据存储库下载。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
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.
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