TY  - Data
T1  - Annual Surface Temperature Cycle Parameter Set for China and Surrounding Regions (2000–2023)
A1  - ZHAO Guohui
DO  - 10.12072/ncdc.nieer.db7007.2025
PY  - 2025
DA  - 2025-11-19
PB  - National Cryosphere Desert Data Center
AB  - Surface temperature is an important parameter at the land atmosphere interface in the Earth system, closely related to surface radiation and energy balance, and widely used in multiple fields of Earth science such as cryosphere, climatology, hydrology, etc. The surface temperature has spatiotemporal heterogeneity, and it is usually obtained through thermal infrared remote sensing satellites to obtain large-scale surface temperature information. Due to the influence of weather conditions such as clouds and rain, as well as sampling frequency, sensor failures, and inversion algorithm errors, a large amount of data is missing, which reduces the availability of remote sensing data products. The temperature annual cycle model is a robust method for filling the spatial and temporal gaps in surface temperature. The current temperature annual cycle parameters are mostly based on fitting discontinuous data sequences within the year, which makes it difficult to reflect the changing characteristics under the complete sequence. To obtain detailed annual temperature variation characteristics, we established a 5-parameter annual surface temperature cycle model based on the latest EAR5 Land hourly surface temperature set. Using distributed computing, we prepared the annual surface temperature cycle parameter set for China and surrounding areas from 2000 to 2023.The geographical range of this data is 3 ° N-54 ° N, 60 ° E-136 ° E, covering 29 countries including China, Mongolia, Pakistan, Afghanistan, Tajikistan, Kyrgyzstan, etc. The time resolution is years, and the spatial resolutions are 1 km and 10 km. The data file format is GeoTIFF, and the naming convention is CSA_SODskt_APC_ [SP1] [SP2] [SP3] _YYYY.tif, where SP1 represents spatial resolution and there are two types: 10km and 1km. SP2 identifies 7 parameters and evaluation indicators for fitting the APC model. The APC model fits 5 parameters, namely A, T0, d, Theta, and deltaT. A is the amplitude of annual variation in surfa
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/06777916-87c5-463e-bc1b-aafa86e7ec0d
ER  -