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中国首套1公里高分辨率大气湿度指数数据集(2003~2020)

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国家青藏高原科学数据中心2023-07-26 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/6854ebb3-8a60-454a-8d43-4e6a8c0ebd5d
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中国首套1公里高分辨率大气湿度指数数据集(HiMIC-Monthly)包括6个常用的大气湿度指数:相对湿度(Relative Humidity, RH)、真实水汽压(Actual Vapor Pressure, AVP)、水汽压亏缺(Vapor Pressure Deficit, VPD)、露点温度(Dew Point Temperature, DPT)、混合比(Mixing Ratio, MR)、以及比湿(Specific Humidity, SH)。该HiMIC-Monthly数据集的空间分辨率为1 km × 1 km,时间分辨率为1月,覆盖了2003年1月至2020年12月的中国大陆区域。HiMIC-Monthly数据集中6个湿度指标的总R2均超过0.96,均方根误差和平均绝对误差均在合理范围内。该数据集以年为单位存储,每一年由12个逐月的GeoTIFF或者NetCDF文件组成。为节省存储空间,数据都存储为整数类型(Int16),使用时需要除以100以将RH、AVP、VPD、DPT、MR、及SH的数值单位分别转化为%、hPa、hPa、°C、g/kg、及g/kg。投影坐标系为阿尔伯斯等面积圆锥投影,命名规则和其他详细信息请参见“README.pdf”。 如果您在使用HiTIC-Monthly数据集时有任何问题,请直接联系数据集制作者:张慧(zhangh573@mail2.sysu.edu.cn)或罗明(luom38@mail.sysu.edu.cn)。更多关于HiMIC-Monthly数据集生成过程及其准确性评估请参见:Zhang H., Luo M., Zhao Y., et al., 2023. Hui Zhang, Ming Luo, Wenfeng Zhan, & Yongquan Zhao, 2023. A first 1 km high-resolution atmospheric moisture index collection over China, 2003–2020. Earth System Science Data (submitted for consideration for publication).

The first 1 km high-resolution atmospheric moisture index dataset over China (HiMIC-Monthly) includes six commonly used atmospheric moisture indices: Relative Humidity (RH), Actual Vapor Pressure (AVP), Vapor Pressure Deficit (VPD), Dew Point Temperature (DPT), Mixing Ratio (MR), and Specific Humidity (SH). The HiMIC-Monthly dataset has a spatial resolution of 1 km x 1 km and a temporal resolution of 1 month, covering mainland China from January 2003 to December 2020. For all six moisture indices in the HiMIC-Monthly dataset, the coefficient of determination (R²) exceeds 0.96, and both the root mean square error (RMSE) and mean absolute error (MAE) are within reasonable ranges. This dataset is stored annually, with each year consisting of 12 monthly GeoTIFF or NetCDF files. To save storage space, all data are stored as Int16 integer type. When using the data, they need to be divided by 100 to convert the values of RH, AVP, VPD, DPT, MR, and SH into units of %, hPa, hPa, °C, g/kg, and g/kg, respectively. The projected coordinate system is the Albers Equal Area Conic Projection. For the naming rules and other detailed information, please refer to "README.pdf". If you have any questions when using the HiMIC-Monthly dataset, please contact the dataset creators directly: Hui Zhang (zhangh573@mail2.sysu.edu.cn) or Ming Luo (luom38@mail.sysu.edu.cn). For more information about the generation process and accuracy assessment of the HiMIC-Monthly dataset, please refer to: Zhang H., Luo M., Zhao Y., et al., 2023. Hui Zhang, Ming Luo, Wenfeng Zhan, & Yongquan Zhao, 2023. A first 1 km high-resolution atmospheric moisture index collection over China, 2003–2020. Earth System Science Data (submitted for consideration for publication).
提供机构:
张慧,罗明,占文凤,赵涌泉
创建时间:
2023-06-24
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是中国首套1公里高分辨率大气湿度指数月度数据,覆盖2003年至2020年,包含相对湿度、真实水汽压等6个常用湿度指标,空间分辨率高且精度可靠(总R2超过0.96)。数据以开放获取方式共享,适用于大气科学、遥感研究和环境监测等领域。
以上内容由遇见数据集搜集并总结生成
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