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High-Resolution (Half-Hourly) Observational dataset of Solar Spectral Radiation on Different Bare Soil Surfaces in Arid Region of Northwest China

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科学数据银行2024-04-15 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=8b7c65b0b38a4c58ba1738805a8671e7
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资源简介:
"The Field Experiment of Air-Land Interaction in the Arid Area of Northwest China and the Second Tibetan Plateau Scientific Expedition and Research are at the forefront of scientific observation and research in the arid and semi-arid areas of northwest China and the Tibetan Plateau. The land-air integrated observation experiment based on the surface processes and environmental changes in the arid area of Northwest China has provided a large amount of valuable data for the study of the land surface processes and land-air interaction mechanisms and their impacts in the arid and semi-arid area of Northwest China. This dataset synthesizes the half-by-half surface solar spectral radiation (ultraviolet radiation, visible radiation, near-infrared radiation) and global radiation observation data on typical bare soil surfaces with the time span of 2010-2020 from Dunhuang Shuangdunzi Desert Gobi Comprehensive Observation and Research Station (DH-Gobi), Dunhuang Mingshashan-Moonya Spring Desert Observation and Research Station (DH-Desert), Pingliang Bare Loess Comprehensive Observation and Research Station (PL-Loess), Dunhuang Shuanghebao Sparse Vegetation Observation and Research Station (DH-SHB), and Dunhuang Laogolding Sparse Vegetation Observation and Research Station (DH-LJK), respectively. These data can be widely used in the characterization of different bands of solar radiation and its albedo on different bare soil underlying surface in the arid and semi-arid regions of Northwest China, the evaluation of remote sensing products and the development of remote sensing inversion algorithms, as well as the evaluation and development of land surface process model. This dataset contains only the surface solar spectral radiation and total radiation data (RADM_SR), and the naming rule of the data files is: data type_site name_data start date-data end date.csv.
提供机构:
Northwest Institute of Eco-Environment and Resources; Beijing Normal University
创建时间:
2024-03-21
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