这些网格化地表云分数辐射核（GCF-CRK）是通过整合精炼的下沉地表短波辐射（DSSR）估算值和高精度云分数（CF）而创建的，使用这些 GCF-CRK，估计了 21 年期间（2000-2020 年）北极表面短波 CRE 的时空特性。\n
共有五个单独的文件。“SFC_SW_Kernel_Arc.nc “用于所有云的 CRK，”SFC_SW_lowcloud_Kernel_Arc.nc “用于低层云的 CRK，”SFC_SW_midlowcloud_Kernel_Arc. nc “用于中低层云的 CRK，”SFC_SW_midhighcloud_Kernel_Arc.nc “用于中高层云的 CRK，”SFC_SW_highcloud_Kernel_Arc.nc \"用于高层云的 CRK。四个云层是根据 CERES-SYN 分层标准从四个压力层（地表至 700 hPa、700-500 hPa、500-300 hPa 和 300-50 hPa，分别代表低云、中低云、中高云和高层云）导出的。\n\n文件格式为 netcdf4，由 Matlab 创建。要读取这些文件，可以使用任何支持 netcdf4 的软件。这些文件只涉及 2000-2020 年间 4-9 月的晴朗月份，经度范围为 -180°~180° ，纬度范围为 60°N~90°N 。", "ds_source": "
DSSR由依赖于CF的模型校正，模型利用大气层顶（TOA）短波辐射参数与表面辐射之间的相关性，结合来自多个卫星来源的高精度融合CF数据集。", "ds_process_way": "
通过利用大气层顶部 （TOA） 短波辐射参数与表面辐射之间的相关性，结合来自多个卫星源的高精度融合 CF 数据集，构建了一个依赖于 CF 的模型来完善 DSSR 估计。基于这个模型，使用 CF 作为唯一的扰动参数构建 GCF-CRKs 来隔离 CF CRE。", "ds_quality": "
结果表明，该方法显著提高了部分多云条件下 （0 The results indicate that this method significantly improves the accuracy of DSSR estimation under partially cloudy conditions (0 There are five separate files in total. SFC_SW_Kernel_Src.nc \"is used for CRK of all clouds,\" SFC_SW_0wcloud_Kernel_Src.nc \"is used for CRK of low-level clouds,\" SFC_SW_idlowcloud_Kernel_Src. nc \"is used for CRK of mid to low-level clouds,\" SFC_SW_idhigcloud_Kernel_Src.nc \"is used for CRK of mid to high-level clouds, and\" SFC_SW_ighcloud_Kernel_Src.nc \"is used for CRK of high-level clouds. The four cloud layers are derived from four pressure layers (from the surface to 700 hPa, 700-500 hPa, 500-300 hPa, and 300-50 hPa, representing low clouds, medium low clouds, medium high clouds, and high clouds, respectively) according to the CERES-SYN stratification criteria.\nThe file format is netcdf4, created by Matlab. To read these files, any software that supports netcdf4 can be used. These documents only cover sunny months from April to September between 2000 and 2020, with a longitude range of -180 °~180 ° and a latitude range of 60 ° N~90 ° N. A CF dependent model was constructed to improve DSSR estimation by utilizing the correlation between shortwave radiation parameters at the top of the atmosphere (TOA) and surface radiation, combined with high-precision fused CF datasets from multiple satellite sources. Based on this model, use CF as the sole perturbation parameter to construct GCF CRKs for isolating CF CRE.",
"ds_ref_instruction": ""
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},
"submit_center_id": "ncdc",
"data_level": 0,
"license_type": "CC BY 4.0",
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"ds_topic_tags": [
"北极",
"GCF-CRK",
"网格表面"
],
"ds_subject_tags": [
"地理学"
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"ds_time_tags": [
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"ds_contributors": [
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"true_name": "何涛",
"email": "taohers@whu.edu.cn",
"work_for": "武汉大学",
"country": "中国"
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],
"ds_meta_authors": [
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"true_name": "何涛",
"email": "taohers@whu.edu.cn",
"work_for": "武汉大学",
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],
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{
"true_name": "何涛",
"email": "taohers@whu.edu.cn",
"work_for": "武汉大学",
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"category": "极地"
}