Future Extreme Climate Prediction in Western Jilin Province Based on Statistical DownScaling Model : International Geoscience and Remote Sensing Symposium (IGARSS)

Zhang, P. and Yin, D. and Atkinson, P.M. (2019) Future Extreme Climate Prediction in Western Jilin Province Based on Statistical DownScaling Model : International Geoscience and Remote Sensing Symposium (IGARSS). In: 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings :. IEEE, pp. 9886-9889. ISBN 9781538691557

Abstract

Based on the measured data of 12 meteorological stations in western Jilin province from 1961 to 2017, the prediction factors of NCEP reanalysis data were selected through correlation analysis. Combined with the global climate model HadCM3 data in the two scenarios of A2 and B2, the Statistical DownScaling Model (SDSM) for western Jilin province was established. By means of SDSM, this study simulated the changes of temperature, precipitation and eight climate extreme indices (SU25, FD0, CDD, CWD, TXn, TNn, TXx and TNx in western Jilin province in the four periods (2030s, 2050s, 2070s and 2090s). In the two scenarios of A2 and B2, the interannual temperature increases in western Jilin province would be 1-5 °C and 1.5-4 °C respectively. In the A2 scenario, SU25 would increase by 3-9 days and FD0 would decrease by 10-18 days. In the B2 scenario, SU25 would increase by 3-7 days and FD0 would decrease by 9-14 days. Under the both A2 and B2 scenarios, six indices (SU25, CWD, TNn, TXn, TNx and TXx) would increase obviously, while the other two indices (CDD and FD0) would decrease. Under the scenario B2, the increase of eight climate extreme indices in western Jilin province would be less than those under the scenario A2.