本数据集为 2001–2022 年塔吉克斯坦逐旬地表土壤湿度数据集，空间分辨率约 9 km，共 792 期，存储为 GeoTIFF 格式。数据基于欧洲中期天气预报中心（ECMWF）发布的 ERA5-Land 陆面高分辨率再分析资料生成。\n
本数据集为逐旬的塔吉克斯坦地表土壤湿度，单位 m³/m³。\n
文件命名：`TJK_SM_ - `TJK`：Tajikistan（塔吉克斯坦）\n - `SM`：Soil Moisture（土壤湿度）\n - ` - ` - `D - 示例：`TJK_SM_2015_07_D02.tif` 表示 2015 年 7 月中旬土壤湿度\n 数据格式：GeoTIFF，单波段，Float64；\n 坐标系 EPSG:4326（WGS 84）；\n 像元大小约 9 km；\n 时间范围 ：2001 年 1 月上旬至 2022 年 12 月下旬，逐旬连续，共 792 期",
"ds_source": " 数据源为欧洲中期天气预报中心（ECMWF）发布的 ERA5-Land 陆面高分辨率再分析数据集（ERA5-Land hourly data from 1950 to present），由欧盟哥白尼气候变化服务（C3S）通过气候数据商店（CDS）分发。ERA5-Land 是 ECMWF 第五代全球大气再分析资料 ERA5 的陆地分量增强版，不进行独立数据同化，而是以离线回放（offline replay）方式用 ERA5 大气强迫场驱动陆面模型 H-TESSEL（Hydrology Tiled ECMWF Scheme for Surface Exchanges over Land）生成陆面状态变量。原生时间分辨率逐小时，空间分辨率 0.1° × 0.1°（约 9 km），覆盖全球陆地。本数据集引用其中的土壤湿度变量（volumetric soil water layer 1，单位 m³/m³）。引用文献：Muñoz-Sabater, J., et al. (2021). ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13(9), 4349–4383. doi.org/10.5194/essd-13-4349-2021",
"ds_process_way": " 首先从哥白尼气候数据商店（CDS）下载 2001 年 1 月 1 日至 2022 年 12 月 31 日的 ERA5-Land 逐时土壤湿度数据；其次按旬进行时间聚合，将每旬内所有时次求算术平均，得到 22 年 × 12 月 × 3 旬 = 792 期逐旬产品；其次，按塔吉克斯坦国界矢量裁剪至研究区，输出矩形范围 67.3467°E–75.1890°E、36.6243°N–41.0710°N，区外赋为 NaN。最后，以 GeoTIFF 格式输出，单波段 Float64，坐标系 WGS 84（EPSG:4326），波段命名 SM，按 `TJK_SM_ 对全部 792 个文件逐文件读取校验。时间完整性方面，2001–2022 年共 22 年 × 36 旬 = 792 期，无缺年、缺月、缺旬，覆盖度 100%。一致性方面，792 个文件的行列数、像元大小、左上角坐标与坐标系完全一致，无网格错位。缺测掩膜种类数为 1，全时序像元一一对应，可直接进行时间序列分析而无需配准。数值合理性方面，全库有效值介于 0～0.7364 m³/m³，22 年平均 0.2360 m³/m³，处于物理合理区间；逐月气候态呈 4–5 月最高（0.2752 m³/m³）、9 月最低（0.1612 m³/m³）的单峰型季节循环，与中亚内陆春季融雪补给、夏秋蒸散耗损的水文规律吻合。数据保留 Float64 双精度，原始再分析数值精度完整保留。",
"ds_acq_start_time": "2001-01-01 00:00:00",
"ds_acq_end_time": "2022-12-31 00:00:00",
"ds_acq_place": "塔吉克斯坦",
"ds_acq_lon_east": 75.23333333333333,
"ds_acq_lat_south": 36.65,
"ds_acq_lon_west": 67.5,
"ds_acq_lat_north": 41.083333333333336,
"ds_acq_alt_low": null,
"ds_acq_alt_high": null,
"ds_share_type": "login-access",
"ds_total_size": 13309494,
"ds_files_count": 793,
"ds_format": "*.tif",
"ds_space_res": "9km",
"ds_time_res": "旬",
"ds_coordinate": "WGS84",
"ds_projection": "",
"ds_thumbnail": "812893e3-2b90-4c3a-bffa-c3022bb3b06e.png",
"ds_thumb_from": 2,
"ds_ref_way": "",
"paper_ref_way": "",
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"ds_from_station": null,
"organization_id": "b6ee8072-db07-4053-bcbc-78e22d72c5ec",
"ds_serv_man": null,
"ds_serv_phone": null,
"ds_serv_mail": null,
"doi_value": "",
"subject_codes": [
"170.4510"
],
"quality_level": 0,
"publish_time": "2026-10-14 15:19:37",
"last_updated": "2026-10-14 15:19:37",
"protected": false,
"protected_to": "2027-09-05 00:00:00",
"lang": "zh",
"cstr": "11738.11.ncdc.db7811.2026",
"i18n": {
"en": {
"title": "Downscaled Soil Moisture Dataset of Tajikistan (2001–2022)",
"ds_format": "*.tif",
"ds_source": " The data source is the ERA5-Land hourly data from 1950 to present released by the European Center for Medium-Range Weather Forecasts (ECMWF), distributed by the EU Copernicus Climate Change Service (C3S) through the Climate Data Store (CDS). ERA5-Land is an enhanced version of the land component of ERA5, the fifth generation of ECMWF global atmospheric reanalysis data. It does not perform independent data assimilation. Instead, it uses ERA5 atmospheric forcing field to drive the land surface model H-TESSEL (Hydrology Tried ECMWF Scheme for Surface Exchanges over Land) to generate land surface state variables in an offline replay manner. The native temporal resolution is hourly, and the spatial resolution is 0.1° × 0.1° (about 9 km), covering the world's land. This dataset references the soil moisture variable (volumetric soil water layer 1, in m³/m³). Citation: Muñoz-Sabater, J., et al. (2021). ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13(9), 4349–4383. doi.org/10.5194/essd-13-4349-2021",
"ds_quality": " Read and verify all 792 files one by one. In terms of time integrity, there are 22 years × 36 ten-days = 792 periods from 2001 to 2022, with no missing years, missing months, and missing ten-days, with a coverage of 100%. In terms of consistency, the number of rows and columns, cell sizes, and upper left corner coordinates of the 792 files are completely consistent with the coordinate system, and there is no grid dislocation. The number of missing mask types is 1, and the full-time sequence pixels correspond one-to-one, allowing direct time series analysis without registration. In terms of numerical rationality, the effective value of the entire reservoir is between 0 and 0.7364 m³/m³, and the 22-year average is 0.2360 m³/m³, which is in a physically reasonable range; the monthly climate state shows a single-peak seasonal cycle with the highest from April to May (0.2752 m³/m ³) and the lowest in September (0.1612 m³/m³), which is consistent with the hydrological laws of spring snowmelt replenishment and summer and autumn evapotranspiration losses in the interior of Central Asia. The data is retained with Float64 double precision, and the original reanalysis numerical precision is completely retained.",
"ds_ref_way": "",
"ds_abstract": " This dataset is a ten-day surface soil moisture dataset in Tajikistan from 2001 to 2022, with a spatial resolution of about 9 km, a total of 792 issues, and is stored in GeoTIFF format. The data were generated based on ERA5-Land high-resolution land surface reanalysis data released by the European Center for Medium-Range Weather Forecasts (ECMWF).\r\n This dataset is the ten-day surface soil moisture in Tajikistan, in m³/m³.\r\n File name: `TJK_SM_ - `TJK`: Tajikistan (Tajikistan)\r\n - `SM`: Soil Moisture\r\n - ` - ` - `D - Example: `TJK_SM_2015_07_D02.tif` indicates soil moisture in mid-July 2015\r\n Data format: GeoTIFF, single band, Float64;\r\n Coordinate system EPSG:4326 (WGS84);\r\n The pixel size is about 9 km;\r\n Time range: From early January 2001 to late December 2022, consecutive ten-day, with a total of 792 issues",
"ds_time_res": "",
"ds_acq_place": "Tajikistan",
"ds_space_res": "9km",
"ds_projection": "",
"ds_process_way": " First, download the hourly soil moisture data of ERA5-Land from January 1, 2001 to December 31, 2022 from the Copernicus Climate Data Store (CDS); secondly, time aggregation is carried out on a ten-day basis, and all times within each ten-day basis are arithmetically averaged to obtain 22 years × 12 months × 3 ten-day = 792 ten-day products; Secondly, according to the Tajik border vector, it is clipped to the research area, and the output rectangular range is 67.3467°E-75.1890°E, 36.6243°N-41.0710°N, and the area is assigned NaN. Finally, output in GeoTIFF format, single band Float64, coordinate system WGS84 (EPSG:4326), band named SM, named as `TJK_SM_