{ "created": "2021-09-26 13:40:59", "updated": "2026-06-23 03:04:16", "id": "faa6c360-06a5-470d-b05f-1bf0ab058751", "version": null, "ds_topic": null, "title_cn": "渭河流域气象观测数据（1984-2019年）", "title_en": "Meteorological data of Weihe River Basin from 1984 to 2019", "ds_abstract": "

  1. 本数据收集了渭河流域气象站点数据，由于各站点部分数据未公开。\n

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  本数据仅收录了17条气象因素（平均气温(℃)、日最高气温(℃)、日最低气温(℃)、20至20时累计降水量(mm)、平均风速(m/s)、最大风速(m/s)、平均相对湿度(%)、最小相对湿度(%)、日照时数(h)、平均地表气温(℃)、日最高地表气温(℃)、日最低地表气温(℃)、平均本站气压(hPa）、日最高本站气压(hPa)、日最低本站气压(hPa)、小型蒸发量(mm)、大型蒸发量(mm)）。

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  2. 人工收集20个常规气象站点：（临洮、华家岭、定边、吴旗、固原、环县、延安、西吉、平凉、西峰镇、长武、洛川、岷县、天水北道区、武功、耀县、华山、佛坪、商州（县）、镇安）。\n

  3. 通过数据分析渭河流域气候变化现状，发现蕴藏在气象资料中的大量的气象规律，可以有效地进行天气预测，系统总结气候变化规律，针对气候灾害及时采取预防措施，还可为某一区域的特色作物的发展提供决策依据，来满足人们对生活实践和社会活动的需求。", "ds_source": "

  数据来源于中国气象局和全国温室数据系统（http://data.sheshiyuanyi.com/WeatherData/）。", "ds_process_way": "

  人工导出，汇总到Excel进行整合。", "ds_quality": "

  有些年份数据有数据空缺问题，其他质量完好。", "ds_acq_start_time": "1984-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "渭河流域,陕西省,甘肃省,宁夏回族自治区", "ds_acq_lon_east": 110.27444444444444, "ds_acq_lat_south": 33.69611111111111, "ds_acq_lon_west": 103.9713888888889, "ds_acq_lat_north": 37.40833333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 7899149, "ds_files_count": 2, "ds_format": "Excel表格", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "faa6c360-06a5-470d-b05f-1bf0ab058751.jpg", "ds_thumb_from": 2, "ds_ref_way": "张耀南，渭河流域气象观测数据（1984-2019年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2021，doi：10.12072/ncdc.WRiver.db0024.2021", "paper_ref_way": "", "ds_ref_instruction": " 用户在使用数据时请在正文中明确声明数据的来源，并在参考文献部分引用本元数据提供的引用方式", "ds_from_station": null, "organization_id": "0d5fea4e-6fd7-4c70-b28b-3f91204c579a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-09-29 13:14:54", "last_updated": "2025-01-17 16:59:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.WRiver.2021.22", "i18n": { "en": { "title": "Meteorological data of Weihe River Basin from 1984 to 2019", "ds_format": "", "ds_source": "

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 The data comes from China Meteorological Administration and national greenhouse data system（ http://data.sheshiyuanyi.com/WeatherData/ ）。", "ds_quality": "

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 The data of some years have the problem of data vacancy, and the quality of others is good.", "ds_ref_way": " ", "ds_abstract": "

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  1. This data is collected from meteorological stations in Weihe River Basin, because some data of each station are not disclosed;\n

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  This data only includes 17 meteorological factors (average temperature (℃), daily maximum temperature (℃), daily minimum temperature (℃), cumulative precipitation from 20:00 to 20:00 (mm), and average wind speed (M / s) Maximum wind speed (M / s), average relative humidity (%), minimum relative humidity (%), sunshine hours (H), average surface temperature (℃), daily maximum surface temperature (℃), daily minimum surface temperature (℃), average station air pressure (HPA), daily maximum station air pressure (HPA), daily minimum station air pressure (HPA), small evaporation (mm), large evaporation (mm)). < p >\n 2. Manually collect 20 conventional meteorological stations; (Lintao, Huajialing, Dingbian, Wuqi, Guyuan, Huanxian, Yan'an, Xiji, Pingliang, Xifeng Town, Changwu, Luochuan, Min County, Tianshui Beidao District, Wugong, Yaoxian, Huashan, Foping, Shangzhou (county), Zhen'an).\n3. By analyzing the current situation of climate change in the Weihe River Basin, it is found that a large number of meteorological laws contained in meteorological data can effectively predict the weather, systematically summarize the laws of climate change, take timely preventive measures against climate disasters, and provide decision-making basis for the development of characteristic crops in a region to meet people's needs of life practice and society Meeting the needs of the event.

", "ds_time_res": "日", "ds_acq_place": "Weihe River Basin, Shaanxi Province, Gansu Province, Ningxia Hui Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
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  Export manually and summarize to excel for integration.", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "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, "belong_to_nieer": false, "ds_topic_tags": [ "气温", "风速", "湿度", "累积降雨量", "地表气温", "气压", "蒸发量", "日照时数" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "渭河流域", "甘肃省", "宁夏回族自治区", "陕西省" ], "ds_time_tags": [ 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "张耀南", "email": "yaonan@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "李红星", "email": "lihongxing@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "气象" }