基于优化参数的陕西省多年平均气温、降水数据集

准确地估测气温、降水的空间分布对于开展农业生产，进行气候变化、碳循环、陆表过程模拟、自然灾害等研究具有重要意义。作者选取陕西及其附近200km缓冲区范围内76个气象站点（在2003-2012年内具有连续逐月气温、降水数据）的气温和降水数据，运用传统插值法、地统计插值法、多元回归法和模拟气象站点法4大类11种方法，对陕西省2003-2012年平均气温、降水量数据进行栅格化，最后得到基于优化参数的陕西省多年平均气温、降水数据集。数据集包括：（1）基于“回归 残差IDW（Inverse Distance Weighting）”的陕西省多年平均气温数据；（2）基于OK（Ordinary Kriging）法的陕西省多年平均降水量数据。数据集以.tif格式存储，分辨率为1km，压缩后数据量1.90MB。该数据集的研究论文发表在《自然资源学报》2015年30卷第7期。

Accurate estimation of the spatial distribution of air temperature and precipitation is of paramount importance for agricultural production, as well as research on climate change, carbon cycle, land surface process simulation, natural disasters and other related fields. The authors selected air temperature and precipitation data from 76 meteorological stations within a 200 km buffer zone surrounding Shaanxi Province, where continuous monthly air temperature and precipitation records were available from 2003 to 2012. Using 11 methods classified into four major categories, including traditional interpolation methods, geostatistical interpolation methods, multiple regression methods and simulated meteorological station methods, the authors rasterized the average air temperature and precipitation data of Shaanxi Province over the period 2003–2012, and finally developed the multi-year average air temperature and precipitation dataset for Shaanxi Province based on optimized parameters. The dataset consists of two parts: (1) Multi-year average air temperature data of Shaanxi Province based on the "Regression-residual Inverse Distance Weighting (IDW)" method; (2) Multi-year average precipitation data of Shaanxi Province based on the Ordinary Kriging (OK) method. The dataset is stored in .tif format with a spatial resolution of 1 km, and the compressed data size is 1.90 MB. The research paper corresponding to this dataset was published in *Journal of Natural Resources*, Volume 30, Issue 7, 2015.

搜集汇总

背景与挑战

背景概述

该数据集提供了陕西省2003-2012年的1km分辨率多年平均气温和降水数据，基于76个气象站数据和4类转换模型生成，数据格式为.tiff，适用于气候研究。