全球以日为时段的0.01°天顶辐射数据

天顶辐射（Extraterrestrial (solar) Radiation, Ra）是估计其他太阳辐射的前提以及重要参数之一，同时Ra也广泛用于光伏、光热系统、太阳能、农业、林业、建筑业等领域，对于植物蒸散量、潜在蒸散发、干旱指数特别是作物蒸散量的估算具有重要作用。本数据集利用FAO 56文件提供的公式，基于Python软件计算出了全球以日为时段的天顶辐射数据，单位为MJm-2day-1，包含365天以及闰年366天的数据，空间分辨率为0.01°。每一天的数据单独存放一个txt文件，命名格式为day_xxx_radiation.txt，如day_001_radiation.txt,表示第一天的Ra数据，并提供年内日序数与日期对照文件。txt文件第一列为纬度（南极纬度为负值，北极纬度为正值），第二列为天顶辐射值Ra，Ra不受经度影响，即同一纬度下所有经度的Ra相等，可基于本数据提供的Ra数据，利用Python软件批量生成间隔0.01°经度的带有经纬度的Excel表格，利用经纬度链接到ArcGIS软件中生成全球的数据。

Extraterrestrial (solar) Radiation (Ra) serves as a prerequisite and one of the core parameters for estimating other solar radiation-related quantities. Additionally, Ra is widely utilized in sectors including photovoltaic systems, solar thermal facilities, solar energy applications, agriculture, forestry, construction, and more, and plays a critical role in the estimation of plant evapotranspiration, potential evapotranspiration, drought indices, and particularly crop evapotranspiration.
This dataset computes global daily extraterrestrial solar radiation data using the formula specified in the FAO 56 document via Python, with a unit of MJ·m⁻²·day⁻¹. It encompasses data for 365 standard days and 366 days in leap years, with a spatial resolution of 0.01°.
Data for each individual day is stored in a separate TXT file, following the naming convention `day_xxx_radiation.txt`; for instance, `day_001_radiation.txt` corresponds to the Ra data of the first day of the year. A supplementary file matching day-of-year (DOY) ordinal numbers to corresponding calendar dates is also provided.
Each TXT file contains two columns: the first column is latitude (negative values for southern latitudes, positive values for northern latitudes), and the second column is the extraterrestrial solar radiation value Ra. Ra is independent of longitude, meaning that Ra values are identical across all longitudes at the same latitude. Using the Ra data provided in this dataset, users can batch generate Excel tables with latitude and longitude coordinates at 0.01° longitude intervals via Python, then link the tabular data to ArcGIS software using the geographic coordinates to produce complete global spatial datasets.

搜集汇总

背景与挑战

背景概述

该数据集提供了全球范围内以日为时段、空间分辨率为0.01°的天顶辐射数据，包含365天及闰年366天的数据，适用于光伏、农业等多个领域的研究和应用。数据以每日一个txt文件的形式存储，命名规范清晰，便于使用和处理。