Global sowing and harvesting windows of major crops

Using daily weather data for the period 1996–2005 as the inputs to a rule-based model, we derive calendars for maize, rice, winter and spring wheat and soybeans around the year 2000 with a spatial resolution of 0.5° in latitude and longitude. Winter and spring wheat and rainfed versus irrigated conditions are differentiated. Separate calendars for rainfed and irrigated conditions and three representative varieties (short-, medium- and long-season varieties) are estimated. The daily probabilities of sowing and harvesting derived using the model can be converted into sowing and harvesting windows, respectively, with user-defined thresholds.本研究以1996-2005年的逐日气象数据作为基于规则（rule-based）的模型输入，针对玉米、水稻、冬小麦、春小麦及大豆这几类作物，构建了2000年前后、空间分辨率为0.5°经纬度的作物种植日历数据集。该数据集区分冬小麦与春小麦，以及雨养（rainfed）与灌溉两种种植情境；同时针对雨养、灌溉两种种植条件，以及短生育期、中生育期、长生育期三类典型品种，分别估算得到专属种植日历。通过该模型推导得到的逐日播种概率与收获概率，可分别结合用户自定义阈值转换为对应播种窗口与收获窗口。