Year: 2025
Type: article
Abstract: 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.
Source: Geoscience Data Journal
DOI: 10.1002/gdj3.70003
Authors: Pei Shunqiang, Li Chao
Institution: China Meteorological Administration
Language: English
Domain: Life Sciences
SDGs: Zero hunger, Climate action
Open Access status: gold
Estimated APC paid: $2,290
Awards: G1315944809, G5860370797
OpenAlex ID: W4409427577
