本数据集为2001-2010年间10年的北半球逐日雪深数据，数据覆盖范围0-86°N，180°W-180°E，该数据集结合积雪过程模型和积雪微波辐射传输模型，并吸收地面观测站点资料对雪深进行提取，引入森林覆盖率因子降低森林对雪深反演的影响，利用集合卡尔曼滤波方法综合卫星观测的微波亮度温度和模拟的亮度温度对积雪参数进行优化；在森林地区通过森林覆盖率降低森林的影响，获得北半球雪深数据集。
", "ds_source": "
本数据集用到的原始数据为星载被动微波亮度温度数据AMSR-E EASE-Grid，从美国雪冰数据中心下载。
", "ds_process_way": "通过积雪过程模型和积雪微波辐射传输模型、北半球站点积雪观测数据实时更新积雪状态变量、卡尔曼滤波方法综合卫星观测的微波亮度温度和模拟的亮度温度对积雪参数进行优化和森林地区通过森林覆盖率降低森林的影响。
", "ds_quality": "本数据集与站点观测雪深（雪深大于5cm）相比，雪深较深的月份相对偏差较小，而雪深较浅的月份相对偏差较大。对于雪深较深的1-4月，平均雪深月30cm，其相对偏差为-21%，对于雪深较浅的5-6月，10-12月，相对偏差为-63.2%。
", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "北半球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 0.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 86.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 383249886, "ds_files_count": 3, "ds_format": "*.txt", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "819a29a7-cd9e-41d8-83fd-6e72845b82d8.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "由于本数据集测定时间不尽一致，指标繁杂，如需要详细原始数据者，请联系数据管理者。\r\n联系信息：联系人姓名：车涛 Email:chetao@lzb.ac.cn Tel:0931-4967966", "ds_from_station": null, "organization_id": "b3c14ec7-0cc1-417f-8986-b6fc1352242f", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596 ", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-12-03 08:51:52", "last_updated": "2026-05-28 15:24:02", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.CCI.2020.90", "i18n": { "en": { "title": "Northern Hemisphere Daily Snow Depth Data Set (2001-2010)", "ds_format": "*.txt", "ds_source": "The raw data used in this dataset is the spaceborne passive microwave brightness temperature data AMSR-E EASE-Grid, which was downloaded from the American Snow and Ice Data Center.
", "ds_quality": "Compared with the snow depth observed at the station (snow depth greater than 5cm), the relative deviation in months with deeper snow depth is smaller, while the relative deviation in months with shallower snow depth is larger. For January to April when the snow depth is deeper, the average snow depth is 30cm per month, and the relative deviation is-21%. For May to June and October to December when the snow depth is shallower, the relative deviation is-63.2%.
", "ds_ref_way": "", "ds_abstract": "This dataset is a 10-year daily snow depth data in the Northern Hemisphere from 2001 to 2010, covering a range of 0-86°N and 180°W-180°E. This dataset combines the snow cover process model and the snow cover microwave radiation transmission model, absorbs ground observation station data to extract snow depth, and introduces a forest coverage factor to reduce the impact of forests on snow depth retrieval. The ensemble Kalman filter method is used to integrate satellite observed microwave brightness temperatures and simulated brightness temperatures to optimize snow cover parameters; in forest areas, forest coverage is used to reduce the impact of forests, and a Northern Hemisphere snow depth data set is obtained.
", "ds_time_res": "", "ds_acq_place": "Northern Hemisphere", "ds_space_res": "", "ds_projection": "latitude and longitude", "ds_process_way": "
Through the snow cover process model and snow cover microwave radiation transmission model, real-time update of snow cover state variables with snow observation data from northern hemisphere stations, and the Kalman filtering method integrates satellite observed microwave brightness temperatures and simulated brightness temperatures to optimize snow cover parameters and forest areas. Reduce the impact of forests through forest coverage.
", "ds_ref_instruction": "Because the measurement time of this data set is not consistent and the indicators are complex, if you need detailed original data, please contact the data manager.\r\nContact information: Contact Name: Che Tao Email:chetao@lzb.ac.cn Tel :0931-4967966" } }, "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": [ "北半球", "雪深", "逐日" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北半球" ], "ds_time_tags": [ 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 ], "ds_contributors": [ { "true_name": "车涛", "email": "chetao@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": "车涛", "email": "chetao@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": "车涛", "email": "chetao@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": "积雪" }