作者: Charles J.R. Williams , Dominic R. Kniveton , R. Layberry
DOI: 10.1007/978-90-481-3842-5_4
关键词: Sea surface temperature 、 Climatology 、 Climate model 、 Climate extremes 、 Latitude 、 Geography 、 Longitude 、 Atmospheric circulation 、 Extreme events 、 High resolution
摘要: It is generally agreed that changing climate variability, and the associated change in extremes, may have a greater impact on environmentally vulnerable regions than mean. This research investigates rainfall extremes their associations with atmospheric oceanic circulations over southern Africa, region considered particularly to extreme events because of numerous environmental, social economic pressures. As variability function scale, high resolution data are needed identify events. Thus this uses remotely-sensed model experiments at spatial temporal resolution, overall aim investigating ways which sea surface temperature (SST) anomalies influence Africa. Extreme identification achieved by MIRA dataset. comprises satellite-derived daily from 1993 2002 covers Africa 0.1° longitude/latitude. Extremes extracted used reanalysis study possible circulation rainfall. Anomalously cold temperatures (SSTs) central south Atlantic warm SSTs off coast southwestern seem be statistically related extremes. Further, through number idealised experiments, it would appear both decreasing increasing leads demonstrable increase via local effects such as increased convection remote an adjustment Walker-type circulation.