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• sur-sharmila-oscar-alves-harry-hendon-antje-weisheimer-magdalena-balmaseda-matthew-wheeler-wendy-sharples-andrew-marshall---predicting-enso-events-and-their-regional-impacts-beyond-a-yearpdf

  series of Niño3.4 indices for all initialised forecasts relative to ERSST IV. Prediction of Regional Impacts Based on Nov0 initialised forecasts: Model predicts overall dry conditions across Australia during 1 st (Y0) and 2 nd (Y+1) wet-season of multi-year El Nino events but underestimates the rainfall

• Turbulent flights and the climate connection

  and Europe, experiences the strongest jet streams. East Asia near Japan can be prone to jet stream-related turbulence. Greenland, the Andes and Himalayas are all susceptible to mountain wave turbulence due to elevated terrain. Parts of the USA and Southeast Asia are frequently affected by convective

• theor_appl_clim_tamil_nadu_india_precis.pdf

  of the timing, magnitude, and variability of wet-season rainfall and its extremes to access the impact on the water resources. Here, our focus is to look for models that demonstrate reasonable skills in simulating rainfall patterns over the study region as well as the wider Indian subcontinent. We assessed

• prasanta_kumar_bal_2014_india.pdf

  as the major driver of the timing, magnitude, and variability of wet-season rainfall and its extremes to access the impact on the water resources. Here, our focus is to look for models that demonstrate reasonable skills in simulating rainfall patterns over the study region as well as the wider Indian

• theor_appl_clim_tamil_nadu_india_precispdf

  of the timing, magnitude, and variability of wet-season rainfall and its extremes to access the impact on the water resources. Here, our focus is to look for models that demonstrate reasonable skills in simulating rainfall patterns over the study region as well as the wider Indian subcontinent. We assessed

• prasanta_kumar_bal_2014_indiapdf

  as the major driver of the timing, magnitude, and variability of wet-season rainfall and its extremes to access the impact on the water resources. Here, our focus is to look for models that demonstrate reasonable skills in simulating rainfall patterns over the study region as well as the wider Indian

• PowerPoint Presentation

  and Burkina Faso were wet or very wet. Uganda was also very wet in July and August with Cameroon wet in July and very dry in August. Ghana was very dry in July. 3-Month Outlook November to January - Rainfall Outlook: In East Africa, the ‘Short Rains’ season takes place for many parts during this period

• PowerPoint Presentation

  balanced (Climatological Odds). This wet signal extends into northern Mozambique. Otherwise, much of southern Africa is more likely to be drier than normal, although in absolute terms the potential rainfall deficit is likely to be small as this is towards the end of the dry season. Tropical cyclones

• Climate change drives increase in storm rainfall

  1991/92 to 2020/21. Source: Met Office HadUK-Grid and Met Éireann’s gridded precipitation datasets. Climate change also had a strong influence on autumn and winter total rainfall. In a pre-industrial climate, wet periods such as the 2023-24 October-March season had an estimated return period of 1

• New global dataset shines a light on humidity extremes

  this is more difficult, increasing health risk to humans. Analysis of the new data has shown that global annual / seasonal mean of maximum daily wet bulb temperature, a measure of humidity, has increased by around 0.2°C each decade between 1973-2022. This rate of change is even higher when looking