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中国再分析晴空太阳辐射资料评估。

Evaluation of Reanalysis Surface Incident Solar Radiation Data in China.

机构信息

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sci Rep. 2020 Feb 26;10(1):3494. doi: 10.1038/s41598-020-60460-1.

Abstract

Surface incident solar radiation (R) of reanalysis products is widely used in ecological conservation, agricultural production, civil engineering and various solar energy applications. It is of great importance to have a good knowledge of the uncertainty of reanalysis R products. In this study, we evaluated the R estimates from two representative global reanalysis (ERA-Interim and MERRA-2) using quality- controlled surface measurements from China Meteorological Administration (CMA) and Multi-layer Simulation and Data Assimilation Center of the Tibetan Plateau (DAM) from 2000 to 2009. Error causes are further analyzed in combination radiation products from the Earth's Radiant Energy System (CERES) EBAF through time series estimation, hotspot selection and Geodetector methods. Both the ERA-Interim and MERRA-2 products overestimate the R in China, and the MERRA-2 overestimation is more pronounced. The errors of the ERA-Interim are greater in spring and winter, while that of the MERRA-2 are almost the same in all seasons. As more quality-controlled measurements were used for validation, the conclusions seem more reliable, thereby providing scientific reference for rational use of these datasets. It was also found that the main causes of errors are the cloud coverage in the southeast coastal area, aerosol optical depth (AOD) and water vapor content in the Sichuan Basin, and cloud coverage and AOD in the northeast and middle east of China.

摘要

再分析产品的地表太阳入射辐射(R)广泛应用于生态保护、农业生产、土木工程和各种太阳能应用。因此,充分了解再分析 R 产品的不确定性非常重要。本研究使用中国气象局(CMA)和青藏高原多层面模拟与资料同化中心(DAM)从 2000 年到 2009 年的质量控制地面测量数据,评估了两个有代表性的全球再分析(ERA-Interim 和 MERRA-2)的 R 估计值。通过时间序列估计、热点选择和地理探测器方法,结合地球辐射能系统(CERES)EBAF 的辐射产品,进一步分析了误差原因。ERA-Interim 和 MERRA-2 产品都高估了中国的 R,而且 MERRA-2 的高估更为明显。ERA-Interim 的误差在春季和冬季较大,而 MERRA-2 的误差在所有季节几乎相同。随着更多的质量控制测量数据被用于验证,结论似乎更可靠,从而为合理使用这些数据集提供了科学参考。还发现,误差的主要原因是东南沿海地区的云覆盖率、四川盆地的气溶胶光学厚度(AOD)和水汽含量以及中国东北和中东部的云覆盖率和 AOD。

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