本数据集基于全球陆地数据同化系统第2版(GLDAS-2)的系统物理场，采用Noah陆面模式进行计算。数据集考虑了不同的物理水能过程，特别是雪过程。评估表明，该数据集能够调查不同时间尺度上不同类型的干旱。评估还表明，该数据集具有足够的性能来捕获不同空间尺度的干旱。雪过程的考虑提高了SZIsnow的能力，并且在积雪覆盖地区(如北极地区)和高海拔地区(如青藏高原)的改善明显。此外，分析还表明SZIsnow数据集能够很好地捕捉世界范围内的大尺度干旱事件。该数据集在干旱监测、评估和信息提供方面具有很高的应用潜力，也可作为干旱研究的宝贵资源。", "ds_source": "
采用数值模式的水文气象变量作为计算干旱指数的源数据。", "ds_process_way": "
基于全球陆地数据同化系统第2版(GLDAS-2)的系统物理场，采用Noah陆面模式进行计算。", "ds_quality": "
数据质量较好。", "ds_acq_start_time": "1948-01-01 00:00:00", "ds_acq_end_time": "2010-03-01 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 29828554702, "ds_files_count": 10, "ds_format": "NetCDF", "ds_space_res": "0.25°", "ds_time_res": "月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "985a3209-487a-48c1-b2c1-369b536410f3.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15" ], "quality_level": 3, "publish_time": "2024-08-29 09:02:32", "last_updated": "2026-01-14 11:05:34", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6670.2024", "i18n": { "en": { "title": "A Global Dataset of Standardized Moisture Anomaly Index Incorporating Snow Dynamics (SZIsnow) from 1948 to 2010", "ds_format": "NetCDF", "ds_source": "
Using numerical models of hydro meteorological variables as source data for calculating drought indices.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset is based on the system physics field of the Global Land Data Assimilation System Version 2 (GLDAS-2) and is calculated using the Noah land surface model. The dataset considers different physical water energy processes, especially snow processes. The evaluation indicates that the dataset is capable of investigating different types of drought at different time scales. The evaluation also indicates that the dataset has sufficient performance to capture drought at different spatial scales. The consideration of snow processes has improved the ability of SZIsnow, and the improvement is significant in snow covered areas such as the Arctic and high-altitude areas such as the Qinghai Tibet Plateau. In addition, the analysis also indicates that the SZIsnow dataset can effectively capture large-scale drought events worldwide. This dataset has high potential for application in drought monitoring, assessment, and information provision, and can also serve as a valuable resource for drought research.
", "ds_time_res": "月", "ds_acq_place": "Global", "ds_space_res": "0.25°", "ds_projection": "", "ds_process_way": "Based on the Global Land Data Assimilation System Version 2 (GLDAS-2), the system physical field is calculated using the Noah land surface model.", "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": [ "干旱指数", "标准化水分异常指数", "融雪过程" ], "ds_subject_tags": [ "大气科学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 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 ], "ds_contributors": [ { "true_name": "田磊", "email": "tianlei@lzu.edu.cn", "work_for": "兰州大学兰州大学黄河流域绿色发展研究院", "country": "中国" }, { "true_name": "张宝庆", "email": "baoqzhang@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "田磊", "email": "tianlei@lzu.edu.cn", "work_for": "兰州大学兰州大学黄河流域绿色发展研究院", "country": "中国" }, { "true_name": "张宝庆", "email": "baoqzhang@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "田磊", "email": "tianlei@lzu.edu.cn", "work_for": "兰州大学兰州大学黄河流域绿色发展研究院", "country": "中国" }, { "true_name": "张宝庆", "email": "baoqzhang@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "积雪" }