National Solar Radiation Database (NSRDB)

The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2017. The NSRDB provides foundational information to support U.S. Department of Energy programs, research, and the general public.The NSRDB provides time-series data at 30 minute resolution of resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms developed by the University of Wisconsin. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate solar irradiance (GHI, DNI, and DHI). The Global Horizontal Irradiance (GHI) is computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, FARMS is used to compute GHI. The Direct Normal Irradiance (DNI) for cloud scenes is then computed using NREL's DISC model (uses empirical relationships between the global and direct clearness indices to estimate the direct beam component of irradiance). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the Geostationary Operational Environmental Satellite (GOES) series of geostationary weather satellites. Ancillary variables needed to run REST2 and FARMS (e.g., aerosol optical depth, precipitable water vapor, and albedo) are derived from NASA's Modern Era-Retrospective Analysis (MERRA-2) dataset. Temperature and wind speed data are also derived from MERRA-2 and provided for use in NREL's System Advisor Model (SAM) to compute PV generation.

国家太阳能辐射数据库（NSRDB）是一套序列完整的气象和太阳辐照度数据集，覆盖了美国及其它自1998年至2017年不断增长的全球多个国际地区。NSRDB为美国能源部计划、研究以及公众提供了基础信息支持。该数据库提供了以30分钟为时间分辨率，对表面单元格（经纬度均为0.038度，或相当于4公里大小）进行资源平均的时序数据。太阳能辐射值代表了太阳能系统可利用的资源。数据生成过程中使用了云特性，这些特性是通过威斯康星大学开发的AVHRR路径分析大气扩展（PATMOS-x）算法生成的。结合云特性和辅助源提供的气溶胶光学厚度（AOD）以及可降水水汽（PWV），使用快速全天空辐射模型（FARMS）来估算太阳辐照度（全球水平辐照度GHI、直接正常辐照度DNI和扩散辐照度DHI）。对于晴朗天空的全球水平辐照度GHI的计算采用了REST2模型。对于由云掩码识别的云场景，则使用FARMS计算GHI。对于云场景的直接正常辐照度DNI，则采用NREL的DISC模型（利用全球和直接晴朗度指数之间的经验关系来估算辐照度的直射分量）。PATMOS-X模型使用了来自地球同步轨道气象卫星系列（GOES）的地球同步气象卫星在可见光和红外通道中的半小时辐射图像。运行REST2和FARMS所需的辅助变量（例如气溶胶光学厚度、可降水水汽和反照率）来源于NASA的现代时代回顾性分析（MERRA-2）数据集。温度和风速数据也来源于MERRA-2，并为NREL的系统顾问模型（SAM）提供，以计算光伏发电量。

搜集汇总

背景与挑战

背景概述

NSRDB是美国及部分国际地区1998-2017年的高分辨率太阳辐射和气象数据库，提供30分钟时间分辨率和约4公里空间分辨率的太阳辐射数据，支持太阳能资源评估和研究。