本数据集主要包括哈萨克斯坦（5个站），吉尔吉斯斯坦（1个站），塔吉克斯坦（3个站），乌兹别克斯坦（1个站），伊朗（2个站）共12个野外气象观测站7个要素的7161条月数据。因仪器安装启用时间不同，数据时间最早2012年10月，最晚2019年1月开始，到2021年12月结束。
", "ds_source": "中亚哈萨克斯坦（5个站），吉尔吉斯斯坦（1个站），塔吉克斯坦（3个站），乌兹别克斯坦（1个站）、伊朗（2个站）共12个观测站的气象观测月度数据。野外生态观测站由中科院中亚生态与环境研究中心与中亚合作单位共建。
", "ds_process_way": "气象观测设备获得原始观测日数据，经过境外电信网络传输到各国数据分中心(中亚生态与环境研究中心阿拉木图、杜尚别、比什凯克3个分中心)，再由数据分中心将原始数据传回到国内总中心的服务器上，数据处理人员对原始数据进行检核，剔除异常值，插值处理，整编成月度数据。
", "ds_quality": "因设备安装启用时间不同，数据获取的起始时间会有不同。数据出现数值“-99999”代表“空值”(数据缺失，没有数据)，是因为该站网络信号不正常，导致数据传输掉线，或是因为设备断电，以及其他环境因素影响设备正常工作等导致了数据间断丢失；数据出现数值“0”代表0值，属于正常值。\n数据处理技术方法和质量控制参照WMO-NO.8, WMO-NO.305、Foken Thomas (2017). Micrometeorology，Springer Berlin, Heidelberg 、GB/T 33703自动气象站观测规范、GB/T 3369-2017 陆-气和海气通量观测规范和QX/T 118-2020《气象观测资料质量控制 地面》。
", "ds_acq_start_time": null, "ds_acq_end_time": null, "ds_acq_place": "", "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": "apply-access", "ds_total_size": 325019, "ds_files_count": 8, "ds_format": ".xlsx格式", "ds_space_res": "无", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "无", "ds_thumbnail": "d3c84a68-0ae3-4350-8136-ae527d07ecab.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": "2025-05-15 19:12:30", "first_publish_time": null, "last_updated": "2025-05-17 15:45:00", "protected": false, "protected_to": null, "lang": "zh", "cstr": "33110.11.ariddc.00642", "license": null, "extra": null, "files_shape": [ { "name": "01哈萨克斯坦气象月度数据.xlsx", "size": 109775, "is_dir": false }, { "name": "02吉尔吉斯斯坦气象月度数据.xlsx", "size": 26289, "is_dir": false }, { "name": "03塔吉克斯坦气象月度数据.xlsx", "size": 55641, "is_dir": false }, { "name": "04乌兹别克斯坦气象月度数据（只布哈拉站202112月）.xlsx", "size": 18817, "is_dir": false }, { "name": "04乌兹别克斯坦气象月度数据（至202012月）.xlsx", "size": 38568, "is_dir": false }, { "name": "06伊朗气象月度数据（至202112月）.xlsx", "size": 26872, "is_dir": false }, { "name": "中亚四国月气温最高与最低（至202012月）.xlsx", "size": 37926, "is_dir": false }, { "name": "观测指标含义.xlsx", "size": 11131, "is_dir": false } ], "features": null, "data_level": 0, "i18n": { "en": { "title": "2012-2021 Monthly data set of surface meteorological observations in Central and West Asia in 2008", "ds_abstract": "This dataset mainly includes 7161 monthly data of 7 elements from 12 field meteorological observation stations in Kazakhstan (5 stations), Kyrgyzstan (1 station), Tajikistan (3 stations), Uzbekistan (1 station), and Iran (2 stations). Due to the different installation and commissioning times of the instrument, the data time is as early as October 2012, starting from January 2019 at the latest, and ending in December 2021.
", "ds_source": "Monthly meteorological observation data from 12 observation stations in Central Asia, including Kazakhstan (5 stations), Kyrgyzstan (1 station), Tajikistan (3 stations), Uzbekistan (1 station), and Iran (2 stations). The Field Ecological Observatory is jointly built by the Central Asian Ecology and Environment Research Center of the Chinese Academy of Sciences and the Central Asian Cooperation Unit.
", "ds_process_way": "The raw observation day data obtained by meteorological observation equipment is transmitted to the data sub-centers of various countries (the three sub-centers of the Central Asian Ecology and Environment Research Center in Almaty, Dushanbe, and Bishkek) through overseas telecommunications networks. The data sub-centers then transmit the raw data. The data is sent back to the server of the domestic headquarters. The data processing personnel check the raw data, remove outliers, interpolate it, and compile it into monthly data.
", "ds_quality": "Depending on the installation and activation time of the device, the start time for data acquisition will vary. The value of \"-99999\" appears in the data represents a \"null value\"(data is missing, no data). It is because the network signal of the station is abnormal, resulting in data transmission being dropped, or because the equipment is powered off, and other environmental factors affect the normal operation of the equipment, etc., resulting in intermittent data loss; the value of \"0\" appears in the data represents a 0 value, which is a normal value.\nData processing technical methods and quality control refer to WMO-NO.8, WMO-NO.305, Foken Thomas (2017). Micrometeorology, Springer Berlin, Heidelberg, GB/T 33703 Automatic Meteorological Station Observation Specifications, GB/T 3369-2017 Land-Air and Air-Sea Flux Observation Specifications and QX/T 118-2020 \"Quality Control of Meteorological Observation Data Ground\".
", "ds_format": ".xlsx format", "ds_projection": "no", "ds_space_res": "no", "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", "气温" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "哈萨克斯坦", "塔吉克斯坦", "吉尔吉斯斯坦", "乌兹别克斯坦", "伊朗" ], "ds_time_tags": [ 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ "李耀明" ], "ds_meta_authors": [ "李锦" ], "ds_managers": [ "李耀明" ], "category": "气象" }