中国7个气候区太阳辐射Angstrom-Prescott模型参数预测和校正数据集（1981-2016）

按照赵济（1995）的自然区划方案将中国分为7个气候区的基本框架，本数据集采用中国105个辐射站点1981-2016年间的日值辐射观测数据和气象观测资料，选取用于计算Angstrom-Prescott（A-P）模型参数的8个预测方程；通过参数校正，评估和比较了8个预测方程的准确性和适用性，得到中国7个气候区太阳辐射Angstrom-Prescott模型参数预测和校正数据集（1981-2016）。该数据集包括：（1）中国105个辐射站点1981-2016年多年平均的的气候数据，包括气温、降水量和日照率（表1）；（2）选取的Angstrom-Prescott模型参数预测模型（表2）；（3）7个气候区Angstrom-Prescott模型校正参数的统计数据（表3）；（4）7个气候区Angstrom-Prescott模型参数校正模型和预测模型的性能数据（包括相关系数R2、均方根误差RMSE、纳什-萨特克利夫效率NSE和偏差百分比PBIAS）（表4）;（5）7个气候区Angstrom-Prescott模型全球性能指标数据（表5）。数据集存储为.xlxs格式，由1个数据文件组成，数据量为44.0 KB。该数据集的分析研究成果已经发表在Earth and Space Science，2019年第6卷。Based on the basic framework of dividing China into 7 climatic regions according to the physical regionalization scheme proposed by Zhao Ji (1995), this dataset adopts daily solar radiation observation data and meteorological observation data from 105 radiation monitoring stations in China during 1981-2016, and selects 8 predictive equations for calculating the parameters of the Angstrom-Prescott (A-P) model. Through parameter calibration, the accuracy and applicability of the 8 predictive equations were evaluated and compared, and the dataset for predicting and calibrating the parameters of the Angstrom-Prescott model for solar radiation in China's 7 climatic regions (1981-2016) was established. This dataset includes: (1) Multi-year averaged climatic data from 105 radiation monitoring stations in China during 1981-2016, including air temperature, precipitation and sunshine duration ratio (Table 1); (2) The selected predictive models for Angstrom-Prescott model parameters (Table 2); (3) Statistical data of the calibrated Angstrom-Prescott model parameters for the 7 climatic regions (Table 3); (4) Performance data of the calibrated and predictive models for Angstrom-Prescott parameters in the 7 climatic regions, including correlation coefficient R², root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE) and percent bias (PBIAS) (Table 4); (5) Global performance indicator data of the Angstrom-Prescott model for the 7 climatic regions (Table 5). The dataset is stored in .xlsx format, consisting of a single data file with a total size of 44.0 KB. The analytical research results of this dataset have been published in *Earth and Space Science*, Volume 6, 2019.

搜集汇总

背景与挑战

背景概述

该数据集基于中国105个辐射站1981-2016年的太阳辐射和气象观测数据，针对中国7个气候区，比较和评估了8个Angstrom-Prescott模型参数预测模型的适用性与性能，并确定了最优模型。数据集包含平均气候数据、模型参数预测方程、校正参数统计、模型性能评估等5个表格，用于支持太阳辐射模型的参数校准和预测研究。