{ "created": "2021-11-09 14:36:03", "updated": "2026-04-28 09:56:57", "id": "92b05202-81c1-43d2-b6b3-e298c1041835", "version": 2, "ds_topic": null, "title_cn": "塔里木盆地荒漠区各季节可降水转化率数据集（1979-2017年）", "title_en": "Data set of seasonal precipitation conversion rate in desert area of Tarim Basin (1979-2017)", "ds_abstract": "

  基于空中水资源基本理论，将大气中由特殊的边界层形成的次生环流锁定且具备发生相变转化为云和降水潜力的水物质定义为有效水汽，然后基于水汽辐合区开发有效水汽识别算法，并对区域可开发空中水资源（即有效水汽）的总量和空中水资源降水潜力进行评估。", "ds_source": "

  （1）欧洲中尺度天气预测中心（ECMWF）的实时再分析资料（ERA-Interim）日平均数据，下载地址为：https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=sfc/ \n

  （2）国家气象信息中心中国地面降水月值格点数据，下载地址为：http://data.cma.cn/data/detail/dataCode/SURF_CLI_CHN_PRE_MON_GRID_0.5.html", "ds_process_way": "

  （1）基于ERA-Interim比湿数据，利用整层积分公式计算得到可降水量矩阵。 \n

  （2）基于国家气象信息中心中国地面降水月值格点数据，计算各格点中降水与可降水量得比值矩阵，即可降水转化率矩阵，采用python统计分析库裁取研究区域内数据点，做区域平均得可降水转化率数据。\n

  （3）最后进行季平均及年平均，得到区域内各级季节数据。", "ds_quality": "

   严格按照相关方法和标准规范进行统计分析，数据质量良好。", "ds_acq_start_time": "1979-01-01 00:00:00", "ds_acq_end_time": "2017-12-31 00:00:00", "ds_acq_place": "塔里木盆地荒漠区", "ds_acq_lon_east": 88.31666666666666, "ds_acq_lat_south": 37.2825, "ds_acq_lon_west": 77.61305555555555, "ds_acq_lat_north": 41.05361111111111, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 9728, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "92b05202-81c1-43d2-b6b3-e298c1041835.jpg", "ds_thumb_from": 2, "ds_ref_way": "钟德钰，塔里木盆地荒漠区各季节可降水转化率数据集（1979-2017年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2021，doi：10.12072/ncdc.XBSAQ.db2250.2022", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "fba361ca-30e1-4a60-a262-c183d8cd6ab3", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.XBSAQ.db2250.2022", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-06-30 09:33:12", "last_updated": "2022-06-30 14:51:24", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.XBSAQ.db2250.2022", "i18n": { "en": { "title": "Data set of seasonal precipitation conversion rate in desert area of Tarim Basin (1979-2017)", "ds_format": "", "ds_source": "

  (1) The daily average data of real-time reanalysis data (era Interim) of European Mesoscale Weather Prediction Center (ECMWF) can be downloaded from: https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=sfc/ \n

  (2) The grid data of monthly surface precipitation in China from the National Meteorological Information Center can be downloaded from: http://data.cma.cn/data/detail/dataCode/SURF_CLI_CHN_PRE_MON_GRID_0.5.html", "ds_quality": "

    statistical analysis was carried out in strict accordance with relevant methods, standards and specifications, and the data quality was good.", "ds_ref_way": "", "ds_abstract": "

\n
\n

  Based on the basic theory of air water resources, the water substances in the atmosphere locked by the secondary circulation formed by the special boundary layer and with the potential of phase transformation into clouds and precipitation are defined as effective water vapor, and then the effective water vapor identification algorithm is developed based on the water vapor convergence area, and the regional exploitable air water resources (i.e. effective water vapor) The total amount and air water resources precipitation potential are evaluated.

", "ds_time_res": "年", "ds_acq_place": "Desert area of Tarim Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
\n
\n

 & emsp; (1) Based on era interim specific humidity data, the precipitable water matrix is calculated by using the whole layer integral formula.\n

 & emsp; (2) Based on the grid point data of monthly surface precipitation in China of the National Meteorological Information Center, the ratio matrix of precipitation and precipitable amount in each grid point is calculated, that is, the precipitation conversion rate matrix. The data points in the study area are cut by Python statistical analysis library, and the regional average precipitable conversion rate data is obtained.\n

 & emsp; (3) Finally, the seasonal average and annual average are carried out to obtain the seasonal data at all levels in the region.", "ds_ref_instruction": " " } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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, "ds_topic_tags": [ "塔里木盆地荒漠区", "可降水转化率", "历史情景（1979年-2017年）" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔里木盆地荒漠区" ], "ds_time_tags": [ 1979, 1980, 1981, 1982, 1983, 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 ], "ds_contributors": [ { "true_name": "钟德钰", "email": "zhongdy@tsinghua.edu.cn", "work_for": "清华大学水利水电工程系", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "田颖琳", "email": "tianyl18@mails.tsinghua.edu.cn", "work_for": "清华大学", "country": "中国" } ], "ds_managers": [ { "true_name": "钟德钰", "email": "zhongdy@tsinghua.edu.cn", "work_for": "清华大学水利水电工程系", "country": "中国" } ], "category": "水文" }