TY  - Data
T1  - A dataset of snow drought occurrence frequency and typed derivatives in Tajikistan from 1950 to 2023
A1  - Li Yupeng
A1  - Wang Baode
A1  - Liu Jingqi
DO  - doi.
PY  - 2026
DA  - 2026-09-01
PB  - National Cryosphere Desert Data Center
AB  - Tajikistan is located in High Mountain Central Asia and serves as an important source region for several transboundary rivers. Seasonal snow plays a critical role in sustaining snowmelt runoff, agricultural irrigation, hydropower generation and regional water-resource security. However, long-term snow drought monitoring in this region has been constrained by sparse in situ observations, insufficient continuous data products and limited type-specific information. Based on hourly ERA5-Land data, this study developed a gridded dataset of snow drought occurrence frequency and type-specific derived products for Tajikistan from 1950 to 2023. The dataset uses a regular 0.1° × 0.1° latitude longitude grid and adopts the hydrological year as the annual statistical unit. The processing chain includes source data organization, daily aggregation, identification of valid seasonal snow covered areas, calculation of hydrological year intermediate variables, construction of 1950 1979 climatological reference fields, identification of total snow drought events and derivation of snow drought types, producing snow drought event and occurrence frequency products for 74 hydrological years from 1950 to 2023. Total snow drought is identified where the hydrological-year maximum snow water equivalent is lower than the corresponding reference-period value. Based on changes in accumulated total precipitation and snowfall fraction relative to the reference state, total snow drought events are further classified into warm, dry and warm-dry compound snow droughts. The released dataset also includes annual regional occurrence frequency, long-term gridded occurrence frequency, climatological reference fields, intermediate maximum snow water equivalent products and study-area boundary files. Data quality control shows that the main gridded products have consistent dimensions and complete temporal coverage, and independently reconstructed products are fully consistent with the released event grids a
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/463b4841-4814-4659-a1c4-6e2305c0b6a0
ER  -