本数据集面向塔吉克斯坦及中亚高山区长期雪旱监测、类型化识别和水资源影响分析需求，发布了1950-2023年雪旱事件判识、发生频率及相关中间过程产品。数据集以ERA5-Land再分析资料为基础，采用0.1° × 0.1°规则经纬度格网，并以水文年为年度统计单元，构建了从日尺度气象驱动、逐水文年最大雪水当量、气候参考场、雪旱事件判识到频率统计产品的完整数据链条。\n
数据集不仅提供最终雪旱发生频率结果，也保留了支撑结果复算和方法追溯的关键中间数据。发布内容包括900个ERA5-Land日尺度月文件、1个1950-2023年逐水文年最大雪水当量格网文件、1个1950-1979年气候参考场文件、5个逐水文年雪旱事件判识格网文件、5个逐年区域雪旱发生频率NetCDF文件、5个长期格网雪旱发生频率文件，以及1套由.shp、.shx、.dbf和.prj共4个文件组成的塔吉克斯坦国界矢量数据。上述文件共同构成了从基础气象变量到雪旱类型化频率产品的层级化数据体系，可支持逐年分析、格网统计、区域汇总、空间制图和跨数据集复核。\n
本数据集适用于塔吉克斯坦及中亚高山区雪旱时空格局识别、类型化风险评估、融雪径流影响分析、气候变化背景下积雪资源变化研究以及跨境水资源风险管理等场景。由于同时提供原始派生驱动、中间过程量、参考场、事件判识结果和频率统计产品，数据使用者可根据研究需求开展结果复算、指标扩展、流域叠加分析和多源数据对比。", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "1950-01-01 00:00:00", "ds_acq_end_time": "2023-12-31 00:00:00", "ds_acq_place": "塔吉克斯坦", "ds_acq_lon_east": 75.21666666666667, "ds_acq_lat_south": 36.61666666666667, "ds_acq_lon_west": 67.5, "ds_acq_lat_north": 41.06666666666667, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 1665830423, "ds_files_count": 922, "ds_format": "*.nc", "ds_space_res": "0.1°×0.1°（约9 km）", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "463b4841-4814-4659-a1c4-6e2305c0b6a0.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170" ], "quality_level": 0, "publish_time": "2026-09-01 10:01:55", "last_updated": "2026-09-24 19:49:45", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.db7760.2026", "i18n": { "en": { "title": "A dataset of snow drought occurrence frequency and typed derivatives in Tajikistan from 1950 to 2023", "ds_format": "*.nc", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
This dataset was developed to support long-term snow drought monitoring, type-specific identification, and water-resource impact assessment in Tajikistan and High Mountain Central Asia. It provides snow drought event-identification products, occurrence-frequency products, and associated intermediate datasets for the period 1950–2023. The dataset is derived from ERA5-Land reanalysis data, organized on a regular 0.1° × 0.1° latitude–longitude grid, and uses the hydrological year as the annual statistical unit. A complete data-processing chain is provided, extending from daily meteorological forcing data and hydrological-year maximum snow water equivalent to climatological reference fields, snow drought event identification, and occurrence-frequency products.\r\n
In addition to the final snow drought occurrence-frequency products, the dataset preserves key intermediate data required for result reproduction and methodological traceability. The released data comprise 900 monthly files of daily ERA5-Land data; one gridded file containing hydrological-year maximum snow water equivalent for 1950–2023; one climatological reference-field file for 1950–1979; five gridded files containing hydrological-year snow drought event-identification results; five NetCDF files of annual regional snow drought occurrence frequency; five files of long-term gridded snow drought occurrence frequency; and one vector dataset representing the national boundary of Tajikistan, consisting of four files (.shp, .shx, .dbf, and .prj). Together, these files form a hierarchical data system linking basic meteorological variables to type-specific snow drought occurrence-frequency products and support annual analysis, grid-cell statistics, regional aggregation, spatial mapping, and cross-dataset verification.\r\n
The dataset is suitable for a range of applications, including analysis of the spatiotemporal patterns of snow drought, type-specific risk assessment, evaluation of snowmelt-runoff responses, investigation of changes in seasonal snow resources under climate change, and transboundary water-resource risk management in Tajikistan and High Mountain Central Asia. By providing forcing data, intermediate variables, climatological reference fields, event-identification results, and occurrence-frequency products within a unified data structure, the dataset also enables users to reproduce published results, develop alternative or extended indicators, conduct basin-scale overlay analyses, and perform comparisons with other meteorological, cryospheric, and hydrological datasets.", "ds_time_res": "day", "ds_acq_place": "Tajikistan", "ds_space_res": "0.1°×0.1° (approximately 9 km)", "ds_projection": "", "ds_process_way": "", "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_outside", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "allow_update_data": false, "created_from": "fair", "ds_topic_tags": [ "塔吉克斯坦", "雪旱", "雪水当量", "长时序", "ERA5-Land", "水文响应" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔吉克斯坦" ], "ds_time_tags": [ 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, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 ], "ds_contributors": [ { "true_name": "李玉朋", "email": "liyupeng@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" }, { "true_name": "王保得", "email": "bdwang@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所 干旱区生态安全与可持续发展全国重点实验室", "country": "中国" }, { "true_name": "刘景琦", "email": "liujingqi@nieer.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": "刘景琦", "email": "liujingqi@nieer.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": "李红星", "email": "lihongxing@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" }