Regional climate centres (RCC) across Africa are vital communicators of hydrometeorological early warnings. In our latest climate services study, we show the current status of services provided by the Central African RCC. 🌍🌧️.@african_swift @UKCEHPapers.

RT @DrLizCooper: Great to see @UK_CEH work on future droughts published in ERL We used the JULES model, data from….

Final @UK_CEH talk at @GEWEX_WCRP ! @bl_harris showing how the observed vegetation can be used to better predict risk to flash drought. 🛰️🌳🏜️

RT @AASjournal: 2-h poster sessions with beer& sake are a #GEWEX-OSC highlight! Great seeing our authors, like @JoshTalib, who published on….

Rising temperatures will have profound consequences on African health in particular an increased in vector-borne diseases.

RT @metofficestorms: Although landfall is not expected, #Ialy is passing closer to the coast of Kenya than any previous tropical storm in t….

RT @ChCh_Oxford: Congratulations to Professor @SimonDadson, whose team @REACHwater has received a Vice-Chancellor's Award for close collabo….

RT @AndyMorse: Our paper on running the Liverpool Malaria Model with a convection permitting Met Office Unified Model is out. @MetOffice_Sc….

(5) Finally, as climate and malaria modelling communities make huge advances through increased computational resource and AI, we must not forget to use both community efforts to ensure the best predictions are used to support policy planning and health decision-making.

(4) Hence, when we compare the effect of climate change on malaria we get different results when using parameterised or explicit convection. For model with high sensitivity to temp, temperature changes increase malaria over highlands. Meanwhile in VECTRI, rainfall changes is key;

(3) explicitly-representing convection has a greater impact on malaria models with a large rainfall sensitivity. Malaria models with controlled temperature thresholds for certain processes are sensitive to temperature changes due to changes in cloud-radiation interactions.

Not my typical research field, so been a huge learning curve!. Lessons I've learnt: (1) Significant spread between different malaria models; (2) predicted malaria has a strong sensitivity to either temperature or precipitation depending on the chosen malaria model;.

Published today! 📢🦟🌫️🌍. How does high-resolution atmospheric modelling with a better simulated rainfall impact predictions of present and future malaria? . @AndyMorse @RemyHS @BirchCathryn @UKCEHPapers @BritishCouncil .

RT @icpac_igad: 📢 Day 3 of Participatory Integrated Climate Services for Agriculture (PICSA) training.The training is supported by AICCRA p….

RT @icpac_igad: 📢 Call for Application: Regional WRF-Hydro Training. In collaboration with several European institutions, @icpac_igad and @….

RT @ECMWF: Penny Endersby, the Chief Executive of the UK @metoffice, has given a wide-ranging interview to ECMWF, focusing on the use of #A….

RT @RMetS: 📢 JOB OPPORTUNITY. We're seeking a part-time Science Engagement Fellow (Energy) to support in delivering our strategic objective….

RT @ECMWF: ECMWF has released a much larger dataset to the public than before. It represents #WeatherForecasts at a higher resolution and i….

RT @UK_CEH: At today's @RMetS #nowcasting meeting, UKCEH's Seonaid Anderson will discuss satellite-based nowcasting advances in Africa. The….

RT @JohnMarsham: Not one but three fantastic lectureships going at @ICASLeeds @PriestleyCentre. Climate science + AI/ML. .

Not one, not two, but five(!) @HydroJules internships available this summer. Whilst every project is great, I'm slightly biased towards mine, @DrEJ_astrogeo and Conni Klein's project on predicting sub-seasonal variability of Indian storms. Any questions, just ask! @UK_CEH.