Search results (1714)

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• 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

• 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

• 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

• 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-year.pdf

  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

• 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

• 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

• PowerPoint Presentation

  /maproom/. Additional Information: ^Note: In March western Nigeria had normal rainfall but it was Very Wet in the east, whilst the dry season continued in the north. ^^Note: In April, northern Nigeria was Very Wet and western Cameroon Very Dry. * Region usually experiences less than 10mm/month

• Microsoft PowerPoint - Africa Climate Outlook - November 2025

  10mm/month rainfall during the month (dry season). Additional Information: 1. Note: Hot in the west, Cold in the east 2. Note: Normal, but Hot in the north and the south 3. Note: Normal, but Very Wet in the west 4. Note: Normal, but dry in the far southwest and Very Wet in the east 5. Note: Hot

• PowerPoint Presentation

  Kenya, western Tanzania and parts of Malawi and Zambia were wetter than normal, with more mixed conditions in December. 3-Month Outlook February to April - Rainfall Outlook: The development of La Niña usually increases slightly the chance of a wetter than normal season across parts of southern Africa

• africa-climate-outlook---november-2024pdf

  the month (dry season). Additional Information: (1) Note: Normal or cold in the north, hot in the south (2) Note: Normal in the northeast (3) Note: Large variations across the country (4) Note: Warm or hot in the southwest, cool to normal in the northeast (5) Note: Normal in the west, very wet