Abstract:
The link between climate and typhoons are well studied, particularly in determining if changes in typhoon characteristics are forced by certain climate anomalies / trends. However, only few assessed the impact of a typhoon event to the weather / climate anomalies surrounding the typhoon period. In Southeast Asia, no study investigated the effects of Super Typhoon Haiyan that devastated the Philippines, to the weather / climate variables before and after its landfall. This thesis aims to analyze the spatio-temporal anomalies using observational and reanalysis datasets i.e., GPCP, CRU, HadISST and ERA5, exploring temperature and precipitation, to determine how anomalies surrounding the Haiyan period compare with meteo-climatic variability between the non-typhoon and typhoon months / years. Using wind, pressure, precipitation and runoff data, the daily spatio-temporal evolution of abnormal weather patterns surrounding the landfall period (before, during, and after) is determined, and their inter-variable correlation is measured. Regression and other statistical treatments were also carried out to understand which environmental signal is likely impacted by the typhoon event - whether it corresponds to changes in temperature, pressure, wind, precipitation, or runoff values. The effects of seasonal phases and inter-annual variations (dry/wet, monsoon, ENSO) on precipitation and temperature patterns were also assessed.
