该数据集是“中国雪深长时间序列数据集（1978-2012）”的升级版本。 制作该数据集的源数据与上一版本存在差异，由于AMSR-E在2011年停止运行，从2008年到2016年的雪深采用SSMI/S传感器的亮度温度进行提取。
\n本数据集提供1979年1月1日到2016年12月31日逐日的中国范围的积雪厚度分布数据，其空间分辨率为0.25度。用于反演该雪深数据集的原始数据来自美国国家雪冰数据中心（NSIDC）处理的SMMR（1979-1987年)，SSM/I（1987-2007年)和SSMI/S(2008-2016)逐日被动微波亮温数据（EASE-Grid）。由于三个传感器搭载在不同的平台上，所以得到的数据存在一定的系统不一致性。通过对不同传感器的亮温进行交叉定标提高亮温数据在时间上的一致性。然后利用车涛博士在Chang算法基础上针对中国地区进行修正的算法进行雪深反演。具体反演方法参考数据说明文档“中国雪深长时间序列数据集(1979-2016)介绍.doc”。
\n该数据集是经纬度投影，每天一个文件，文件命名方式为：年+天，如1990001表示1990年第一天，1990207表示1990年第207天。详细数据说明请参考数据文档。
", "ds_source": "用于反演该雪深数据集的原始数据来自美国国家雪冰数据中心（NSIDC）处理的SMMR（1979-1987年)，SSM/I（1987-2007年)和SSMI/S(2008-2016)逐日被动微波亮温数据（EASE-Grid）。
", "ds_process_way": "通过对不同传感器的亮温进行交叉定标提高亮温数据在时间上的一致性。然后利用车涛博士在Chang算法基础上针对中国地区进行修正的算法进行雪深反演。具体反演方法参考数据说明文档“中国雪深长时间序列数据集(1979-2016)介绍.doc
", "ds_quality": "数据集通过严格的人工审核控制质量
", "ds_acq_start_time": "1979-01-01 00:00:00", "ds_acq_end_time": "2016-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 140.0, "ds_acq_lat_south": 15.0, "ds_acq_lon_west": 60.0, "ds_acq_lat_north": 55.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 225509298, "ds_files_count": 5, "ds_format": "文本数据", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "lon-lat", "ds_thumbnail": "d9a9e8ae-3e8f-4c1a-b1a6-a739a405c971.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "寒区旱区科学数据中心", "ds_serv_phone": "0931-4967287", "ds_serv_mail": "westdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-06-06 15:51:15", "last_updated": "2023-06-07 11:01:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.639", "i18n": { "en": { "title": "A long time series dataset of snow depth of China from 1979-2016", "ds_format": "Text data", "ds_source": "The original data used to invert this snow depth dataset were obtained from the SMMR (1979-1987), SSM/I (1987-2007) and SSMI/S (2008-2016) daily passive microwave bright temperature data (EASE-Grid) processed by the US National Snow Ice Data Center (NSIDC).
", "ds_quality": "The dataset is controlled for quality through strict manual review
", "ds_ref_way": "", "ds_abstract": "This dataset is an updated version of the \"A long time series dataset of snow depth of China from 1978-2012\". The original data used to produce this dataset differs from the previous version in that the snow depths from 2008 to 2016 were extracted using brightness temperatures from the SSMI/S sensor, as AMSR-E ceased operation in 2011.
\nThis dataset provides daily China-wide snow cover thickness distribution data with a spatial resolution of 0.25 degrees from January 1, 1979 to December 31, 2016. The original data used to invert this snow depth dataset were obtained from the SMMR (1979-1987), SSM/I (1987-2007) and SSMI/S (2008-2016) daily passive microwave bright temperature data (EASE-Grid) processed by the US National Snow Ice Data Center (NSIDC). Since the three sensors are mounted on different platforms, there is some systematic inconsistency in the data obtained. The temporal consistency of the bright temperature data was improved by cross-calibrating the bright temperatures from different sensors. The snow depth inversion was then carried out using Dr Che Tao's algorithm based on Chang's algorithm modified for the area of China. For details of the inversion method, please refer to the data description document \"Introduction to theA long time series dataset of snow depth of China from 1979-2016.doc\".
\nThe dataset is a latitude and longitude projection, one file per day, with files named in the following way: year + day, e.g. 1990001 for the first day of 1990, 1990207 for the 207th day of 1990. Please refer to the data file for detailed data descriptions.
", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "lon-lat", "ds_process_way": "The temporal consistency of the bright temperature data was improved by cross-calibrating the bright temperatures from different sensors. The snow depth inversion was then carried out using Dr Che Tao's algorithm based on Chang's algorithm modified for the area of China. For details of the inversion method, please refer to the data description document \"Introduction to theA long time series dataset of snow depth of China from 1979-2016.doc\".
", "ds_ref_instruction": "In order to respect intellectual property rights, protect the rights and interests of data authors, expand the services of data centers, and evaluate the application potential of data, data users are invited to use the data" } }, "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": [ "雪深" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "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 ], "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": "戴礼云", "email": "dailiyun@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": "遥感及产品" }