Author(s): Ji Chen; Chi Hang Chung
Linked Author(s): Ji Chen
Keywords: No Keywords
Abstract: The precipitation around the globe is influenced by different climate patterns. This study aims at representing the precipitation over the globe by using major climate patterns like the El Nino–Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Arctic Oscillation (AO) and Antarctic Oscillation (AAO). The anomalous precipitation in the north hemisphere is modeled by the anomalous NINO3. 4 (index representing ENSO), DMI (index representing IOD) and AO index, while the anomalous precipitation in the South hemisphere is modeled by the anomalous NINO3. 4, DMI and AAO index. The selected climate pattern indexes show significant relation with the precipitation in many areas, indicating that it is reasonable to use the four climate pattern indexes to model the precipitation around the globe. Then, a four index model is proposed to represent the impact of the general global circulation on the regional precipitation because it reflects the condition of the global climate patterns which have great impact on the global circulation. This study also aims at finding the dominant climate pattern influencing the precipitation in different regions in the world. The amount of influence brought by each climate pattern is found by studying the magnitude of the regression coefficient of the corresponding predictors and compare it with other predictors. In the study, the precipitation in Northern part of South America and Southeast Asia (Northwest part) is mainly controlled by ENSO, Precipitation in East Africa and Southeast Asia (Southwest part) is mainly controlled by IOD, precipitation in Europe and west coast of North America is mainly controlled by AO and precipitation in East part and South part of South America, South Part of Africa and Northeast Australia is mainly controlled by AAO. These findings strengthen our understanding over the teleconnection of the climate patterns. The proportion of the contribution of each climate pattern gives some directions on which climate pattern to be focused when doing prediction of the precipitation over each region. This can help us to make seasonal forecast and warning can be announced if the dominant climate pattern is anomalously high or low.