The dataset of extreme heat event during the reproductive growing period of rice in China over 1981-2018

Accurate, consecutive, and detailed intelligence on extreme heat event is crucial for optimizing crop management, addressing climate change and ensuring sustainable agricultural development. Here, firstly, we regards the rice crop as a representative example and China as a typical research area. Then, over 470,000 pieces of massive observations were collected, involving rice heading date, maturity date, and the daily maximum temperature from 1981 to 2018 of 34 agro-meteorological stations in China. Finally, a long-term, high-precision, and large-scale dataset of extreme heat frequency, intensity, duration and accumulated intensity during the reproductive growing period of rice was innovatively produced, consisting of a total of 6,688 records. This work offers valuable data support for deeply understanding the effect of extreme heat and effectively formulating climate adaptation policies.

精准、连续且详尽的极端高温事件相关数据，对于优化作物管理、应对气候变化以及保障农业可持续发展至关重要。本研究首先以水稻作为典型作物代表，选取中国作为典型研究区域；随后共收集了超过47万条观测数据，涵盖中国34个农业气象站1981年至2018年的水稻抽穗期、成熟期以及日最高气温资料；最终创新性构建了一套覆盖水稻生殖生长期的极端高温频率、强度、持续时长及累积强度的长时序、高精度、大规模数据集，总计包含6688条记录。本数据集可为深入解析极端高温的影响、高效制定气候适应政策提供宝贵的数据支撑。