Linkages between Madden–Julian oscillation and drought events over Kenya

Increased frequencies and intensities of extreme weather events have negatively impacted climate-sensitive socio-economic sectors in Kenya larger Equatorial East Africa (EEA). Madden–Julian oscillation (MJO) influence intra-seasonal variability over although less attention has been given to its effect on such as droughts floods, which increased frequency intensity. Outgoing Longwave Radiation (OLR) was used this work proxy data for rainfall study the geographical distribution circulation anomalies associated with MJOs their impacts events. Extreme are identified using self-calibrating Palmer Drought Severity Index (sc-PDSI), based sc-PDSI, 2013/2014 2017/2018 drought flood years, respectively. The background power spectral analysis reveals that more dominant during March–May (MAM) season than other seasons. variance depicted maximum MJO-filtered OLR is cantered within tropical Indian Ocean, maritime continent Pacific Ocean. Upper tropospheric (200 hPa) wind signatures give a clear Matsuno-Gill-type compared lower flows. Thus, can be develop dynamic MJO index prediction purposes. There exists weak direct relationship between sc-PDSI; however, may result from modulation atmospheric illustrated by velocity potential patterns before after passage convective phase.