该数据包含了祁连山自然保护区地面气压、2m气温、2m比湿、10m风速纬向分量、10m风速经向分量、总的积云对流降水累积、总的格点降水累积、地面向下短波辐射等数据。", "ds_source": "
利用以全球预报系统（GFS）的预报结果（0.25o×0.25o）作为基础数据源。", "ds_process_way": "
以全球预报系统（GFS）的预报结果（0.25°×0.25°）作为区域天气模式的驱动场，搭建专门针对保护区的精细化天气预报系统，通过动力降尺度的方法得到国家公园2022年超前未来2-3天的气象情景数据（包括2m气温、10m风速、相对湿度、降水量和向下短波辐射）。", "ds_quality": "
1.原始数据来源于公开发布的数据库，其精度由原发布中心充分验证和控制；2.模型构建过程完全按照数据驱动模型标准构建方案进行，方法规范，并且采用交叉验证方法对模型稳健性、鲁棒性进行了充分的验证。", "ds_acq_start_time": "2022-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "祁连山国家公园", "ds_acq_lon_east": 103.44111111111111, "ds_acq_lat_south": 36.755833333333335, "ds_acq_lon_west": 95.2538888888889, "ds_acq_lat_north": 39.74611111111111, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 3228753536, "ds_files_count": 2, "ds_format": "NC4", "ds_space_res": "3km", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "cd26f336-84b6-48c6-ad76-d1e42c1c3c11.png", "ds_thumb_from": 0, "ds_ref_way": "杜军，祁连山国家公园短期气象预报数据（2022年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2743.2023", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2743.2023", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2023-02-28 15:56:27", "last_updated": "2023-03-01 11:06:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2743.2023", "i18n": { "en": { "title": "Short-term meteorological forecast data of Qilian Mountain National Park (2022)", "ds_format": "", "ds_source": "
Using the forecast results of the Global Forecast System (GFS) (0.25o × 0.25o) as the basic data source.", "ds_quality": "
1. The original data comes from the publicly released database, and its accuracy is fully verified and controlled by the original release center; 2. The model construction process is completely carried out in accordance with the standard construction scheme of data-driven model, and the method is standardized, and the robustness and robustness of the model are fully verified by the cross-validation method.", "ds_ref_way": "", "ds_abstract": "
This data includes surface pressure, 2m air temperature, 2m specific humidity, 10m wind speed zonal component, 10m wind speed meridional component, total cumulus convective precipitation accumulation, total grid precipitation accumulation, surface downward short-wave radiation and other data in Qilian Mountain Nature Reserve.
", "ds_time_res": "日", "ds_acq_place": "Qilian Mountain National Park", "ds_space_res": "3km", "ds_projection": "", "ds_process_way": "Based on the forecast results of the Global Forecast System (GFS) (0.25 ° × 0.25 °) as the driving field of the regional weather model, build a refined weather forecast system specifically for the reserve, and obtain the meteorological scenario data of the National Park in 2022 ahead of the next 2-3 days (including 2m air temperature, 10m wind speed, relative humidity, precipitation and downward short-wave radiation) through the dynamic downscaling method.", "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", "降水", "辐射", "风速", "祁连山" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山国家公园" ], "ds_time_tags": [ 2022 ], "ds_contributors": [ { "true_name": "杜军", "email": "dujun2012@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": "杜军", "email": "dujun2012@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": "杜军", "email": "dujun2012@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" }