本数据是2000-2018年乌兹别克斯坦的降水和气温月尺度数据，数据以Geotif文件格式存储。来源于世界气象组织网站https://www.worldclim.org/data 公布的“2000-2018年2.5分（约21km2）的全球历史月度天气数据”，经过叠合国界线矢量裁剪、重投影、重采样处理步骤生成乌兹别克斯坦2000-2018年逐月降水，逐月最高温度，逐月最低温度栅格数据，投影采用GCS_WGS-1984坐标。
", "ds_source": "本数据来源于世界气象组织网站https://www.worldclim.org/data 公布的“2000-2018年2.5分（约21km2）的全球历史月度天气数据”。 该数据是由东安格利亚大学气候研究所从CRU-TS-4.03降级而来，使用WorldClim 2.1进行偏差校正。
", "ds_process_way": "经过叠合国界线矢量裁剪、重投影、重采样处理步骤生成乌兹别克斯坦2000-2018年逐月降水，逐月最高温度，逐月最低温度栅格数据。
", "ds_quality": "数据精度2.5分，保留原始数据的属性和内容没有改动。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "乌兹别克斯坦", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 103731831, "ds_files_count": 6, "ds_format": "Geotiff", "ds_space_res": "2.5分", "ds_time_res": "月", "ds_coordinate": "WGS84", "ds_projection": "WGS84", "ds_thumbnail": "3c570a1d-460a-441f-8756-353b5972e64a.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "a5877b42-96ea-4f13-af7e-246f355413d6", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 1, "publish_time": "2024-09-29 12:01:11", "first_publish_time": "2024-09-29 12:01:11", "last_updated": "2025-04-03 16:59:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00163", "license": null, "extra": null, "files_shape": [ { "name": "UZB_prec_2000-2009.rar", "size": 18242709, "is_dir": false }, { "name": "UZB_prec_2010-2018.rar", "size": 16566390, "is_dir": false }, { "name": "UZB_tmax_2000-2009.rar", "size": 17937238, "is_dir": false }, { "name": "UZB_tmax_2010-2018.rar", "size": 16319056, "is_dir": false }, { "name": "UZB_tmin_2000-2009.rar", "size": 18241675, "is_dir": false }, { "name": "UZB_tmin_2010-2018.rar", "size": 16424763, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "2000-2018 Meteorological Grid Data Set of Uzbekistan", "ds_abstract": "This data is monthly scale data of precipitation and temperature in Uzbekistan from 2000 to 2018, and the data is stored in Geotif file format. Derived from the \"Global Historical Monthly Weather Data of 2.5 Minutes (About 21 km2) from 2000 to 2018\" published on the World Meteorological Organization website https://www.example.com, Uzbekistan's monthly precipitation, monthly maximum temperature, and monthly minimum temperature grid data from 2000 to 2018 are generated through superimposed national border vector clipping, reprojection, and resampling processing steps. The projection uses GCS_WGS-1984 coordinates. www.worldclim.org/data
", "ds_source": "This data comes from the \"Global Historical Monthly Weather Data for 2.5 Minutes (About 21 km2) from 2000 to 2018\" published on the World Meteorological Organization website https:// www.worldclim.org/data The data was downgraded from CRU-TS-4.03 by the Institute for Climate Research at the University of East Anglia and corrected for bias using WorldClim 2.1.
", "ds_process_way": "After the steps of superimposed national border vector clipping, re-projection, and resampling, grid data of monthly precipitation, monthly maximum temperature, and monthly minimum temperature in Uzbekistan from 2000 to 2018 are generated.
", "ds_quality": "The data accuracy is 2.5 points, and the attributes and content of the original data are retained without change.
", "ds_acq_place": "Uzbekistan", "ds_format": "Geotiff", "ds_projection": "WGS84", "ds_space_res": "2.5 points", "ds_time_res": "months" } }, "license_type": null, "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "降水量", "气温" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "乌兹别克斯坦" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ "方晖", "杨辽" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李锦" ], "category": "遥感再分析数据" }