A dataset of hydroclimate variations during the past 1000 years for Eastern China

The dataset was developed based on the dryness and wetness index at 63 sites, which was reconstructed from Chinese historical ducuments, used a five-grade category index ranging from 1 to 5 with 10%, 25%, 30%, 25%, and 10% frequency distributions, respectively, based on the May–September hydroclimatic description in the historical records. Among these categories, 1 indicates very dry conditions, revealed by long-lasting rainless conditions; 5 indicates very wet conditions, with heavy rainfall lasting several days, even up to one month, and many flooded counties; 3 indicates normal conditions, with few or no climatic disasters; and 2 and 4 are between extreme and normal, and indicate relatively dry and relatively wet conditions, respectively. Since previous of 1470, a large number of data were missing, we used spatial (Probit model) and temproal (Markov chain) interpolation methods.The datasest covered 9 regions as the north (NC), the northwest (NW), Guanzhong Plain (GP), Shandong Island (SI), Henan–Hubei (HH), the middle-lower reaches of the Yangtze River (MLRYR), the southwest (SW), the southeast (SE), and the south (SC), based on their geographic location. Spatially, the dataset covered the scope of 22-41°N, 102-122°E.The data file includes 10 colomns: Year, and 9 regions.

本数据集基于63个站点的干湿指数构建，该指数由中国历史文献重建得到，采用1至5的五级分类指标，各级频率分布依次为10%、25%、30%、25%、10%，分类依据为历史记录中5-9月的水文气候描述。其中，1代表极端干旱状态，由长期无雨天气所致；5代表极端湿润状态，表现为持续数日乃至长达一个月的强降雨，且多县发生洪涝；3代表正常气候状态，极少或无气象灾害；2和4则介于极端与正常状态之间，分别对应相对干旱与相对湿润的气候条件。由于1470年之前存在大量数据缺失，我们采用空间插值方法（概率单位模型，Probit model）与时间插值方法（马尔可夫链，Markov chain）进行数据补全。本数据集依据地理位置划分为9个区域：北方地区（NC）、西北地区（NW）、关中平原（GP）、山东岛（SI）、豫鄂地区（HH）、长江中下游地区（MLRYR）、西南地区（SW）、东南地区（SE）以及华南地区（SC）。空间覆盖范围为北纬22°至41°、东经102°至122°。数据文件共包含10列，分别为年份列与上述9个区域的对应数据列。

搜集汇总

背景与挑战

背景概述

该数据集提供了中国东部过去1000年（基于历史文献重建）的水文气候变异数据，使用1-5级干湿指数分类，覆盖9个地理区域和北纬22-41度、东经102-122度的空间范围。数据集通过Probit模型和Markov链插值方法处理缺失数据，文件包含年份和各区域数据列，适用于地球科学研究，采用开放许可（CC BY 4.0）且数据量较小（209.00 KB）。