数据集包含三江源国家公园区1971-2020年空间分辨率0.1°的降水和气温栅格（插值）数据以及模型模拟的积雪覆盖率、雪水当量、冰川融水、积雪融水数据，以及SSP2-4.5气候情景下IPCC CMIP6的GCMs和三江源大尺度冰雪水资源估算模型预估的降水、气温、冰川融水、积雪融水未来时间序列（2020-2100年）。", "ds_source": "
本数据集气温、降水站点数据来源于中国气象局，冰川数据来源于第一次、第二次冰川编目数据，气温降水预估数据通过GCMs气候模式计算并进行降尺度获得，其他数据通过三江源国家公园大尺度冰雪水资源估算模型计算获得。", "ds_process_way": "
1）利用站点观测的气象数据，以WorldClim多年月平均数据作为协变量，采用TPS插值方法，制作了三江源国家公园区气温和降水栅格数据集；\n
2）利用历史气温、降水等气象栅格数据驱动三江源国家公园大尺度冰雪水资源估算模型进行水量要素计算；\n
3）利用MODIS积雪数据和两次冰川编目间的逐条冰川面积变化数据对模型进行参数校正；\n
4）对选定的IPCC CMIP6的GCMs预估的气温、降水等要素进行降尺度；\n
5）利用降尺度气温、降水等数据驱动三江源国家公园大尺度冰雪水资源估算模型获得未来水量平衡要素数据；\n
6）详细生产过程及方法见数据产品生产说明.docx。", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "2020-08-20 00:00:00", "ds_acq_end_time": "2020-08-20 00:00:00", "ds_acq_place": "兰州", "ds_acq_lon_east": 103.0, "ds_acq_lat_south": 31.0, "ds_acq_lon_west": 88.0, "ds_acq_lat_north": 38.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 1259783704, "ds_files_count": 13, "ds_format": "tiff", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "5991ca00-fda8-41bb-96f8-ea05b56ff8f1.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "15c097ee-6847-4f6f-8b59-c6a7d5150039", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510", "170.55" ], "quality_level": 3, "publish_time": "2024-07-26 16:59:27", "last_updated": "2025-06-30 14:51:05", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB6545.2024", "i18n": { "en": { "title": "High Resolution Water Balance Element Dataset of Sanjiangyuan National Park (1971-2100)", "ds_format": "tiff", "ds_source": "
The temperature and precipitation station data in this dataset are sourced from the China Meteorological Administration, while glacier data is obtained from the first and second glacier inventory data. The estimated temperature and precipitation data are calculated using GCMs climate models and downscaled. Other data are obtained through the large-scale ice and snow water resource estimation model of Sanjiangyuan National Park.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
The dataset includes precipitation and temperature raster (interpolated) data with a spatial resolution of 0.1 ° from 1971 to 2020 in the Three River Source National Park area, as well as simulated snow cover, snow water equivalent, glacier meltwater, and snow meltwater data, and future time series (2020-2100) of precipitation, temperature, glacier meltwater, and snow meltwater estimated by IPCC CMIP6 and the Three River Source Large Scale Ice and Snow Water Resource Estimation Model under SSP2-4.5 climate scenarios.
", "ds_time_res": "", "ds_acq_place": "Lanzhou", "ds_space_res": "", "ds_projection": "", "ds_process_way": "1) Using meteorological data observed at stations and WorldClim's annual monthly average data as covariates, a temperature and precipitation raster dataset for the Three Rivers Source National Park area was created using TPS interpolation method;\n
2) Using historical temperature, precipitation and other meteorological grid data to drive the large-scale ice and snow water resource estimation model of Sanjiangyuan National Park for water element calculation;\n
3) Use MODIS snow data and glacier area change data between two glacier inventories to calibrate the model parameters;\n
4) Downscaling the temperature, precipitation, and other factors estimated by the selected IPCC CMIP6 GCMs;\n
5) Using downscaled temperature, precipitation and other data to drive the large-scale ice and snow water resource estimation model of Sanjiangyuan National Park to obtain future water balance factor data;\n
6) The detailed production process and methods can be found in the Data Product Production Instructions. docx.", "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": [ "三江源", "国家公园", "水量平衡", "水资源", "气候情景", "GCMs", "冰川融水", "积雪融水", "雪水当量", "积雪覆盖" ], "ds_subject_tags": [ "水文学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "三江源" ], "ds_time_tags": [ 1971, 2020, 2100 ], "ds_contributors": [ { "true_name": "赵求东", "email": "Zhaoqd@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": "赵求东", "email": "Zhaoqd@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": "赵求东", "email": "Zhaoqd@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": "水文" }