{"title":"Agrometeorological Hazard Warning Dataset for Black Soil Area of Northeast China","authors":"Pei Shunqiang, Li Chao","doi":"10.1002/gdj3.70003","DOIUrl":null,"url":null,"abstract":"<p>Understanding the impacts of meteorological and climatic conditions on agriculture in the black soil area of northeast China is important. In contrast with long- or mid-term forecasts, the meteorological disaster warning signal, which is triggered and graded using a predefined threshold, provides information close to the time of disaster occurrence. The associated Agrometeorological Hazard Warning Dataset is compiled by extracting key information, that is, the date and time, affected county, disaster type, warning level, and the timeliness and details of the information from the text description of the publicly issued warning signal associated with agriculture. It is quality controlled and structured. The dataset covers the black soil area of northeast China from 2021 to 2023.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 2","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70003","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://rmets.onlinelibrary.wiley.com/doi/10.1002/gdj3.70003","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the impacts of meteorological and climatic conditions on agriculture in the black soil area of northeast China is important. In contrast with long- or mid-term forecasts, the meteorological disaster warning signal, which is triggered and graded using a predefined threshold, provides information close to the time of disaster occurrence. The associated Agrometeorological Hazard Warning Dataset is compiled by extracting key information, that is, the date and time, affected county, disaster type, warning level, and the timeliness and details of the information from the text description of the publicly issued warning signal associated with agriculture. It is quality controlled and structured. The dataset covers the black soil area of northeast China from 2021 to 2023.
Geoscience Data JournalGEOSCIENCES, 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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