Spatio-temporal evaluations of reanalysis surface temperatures in the Tibetan Plateau

Authors: Shobha Yadav*, West Virginia University, Dr. Eungul Lee, West Virginia University
Topics: Climatology and Meteorology, Physical Geography, Qualitative Methods
Keywords: Temperature, Reanalysis, Tibetan Plateau, Trend Analysis
Session Type: Paper
Day: 4/3/2019
Start / End Time: 2:35 PM / 4:15 PM
Room: Jackson, Marriott, Mezzanine Level
Presentation File: No File Uploaded

Surface temperature is one of the fundamental variables to explain climate variability and change across the globe. However, the lack of reliable and long-term observational temperature data makes the assessment difficult, especially in the complex land mass like the Tibetan Plateau (TP). The TP is the important landmass of the earth and has profound impacts on the local, regional and global climates. Therefore, understanding of the spatial and temporal distributions in surface temperature over the TP is important for climate system as well as the human dimension. Reanalysis climate data has been widely used in the climate studies because it provides the spatially and temporally continuous climatic variables at the multi atmospheric levels. However, the validation of reanalysis data against the ground observation meteorological data has not been performed in the TP. In this study, surface air temperature from 114 Chinese meteorological stations in and around the TP was applied for evaluating the five reanalysis datasets (ERA-Interim, JRA-55, NCEP-1and NCEP-2, and CRU reanalysis) from 1979 to 2010. The regression trend analysis was performed on the observation data and then correlation analysis was performed between the observation data and reanalysis data. This study examined the spatiotemporal characteristic of the surface temperature in the TP. The results provided a reliable characteristic of changes in surface temperature in the TP over the time. This study investigated the spatial and temporal suitability of reanalysis datasets for the studies of regional climate and land-atmosphere interactions

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