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HadGEM1: Met Office climate prediction model
HadGEM1 is the first in a new generation of coupled climate models incorporating a non-hydrostatic, fully compressible, deep atmosphere formulation with a semi-implicit semi-Lagrangian time integration scheme.
Note that the most recent HadGEM model is the HadGEM3 HadGEM1 stands for the Hadley Centre Global Environment Model version 1. It was developed in 2006 and used in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. The atmospheric component has 38 levels extending
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Assessing your climate risk training course
Assessing your climate risk – an introduction to climate data and reporting course will introduce you to the key concepts of climate risk assessments and aid your understanding of climate projections.
About this course The course will help you gain the skills you need to identify, access, interpret and communicate climate data to meet your organisational needs. Course aims At the end, participants will understand: An established framework for assessing climate risk that can be utilised
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Asia Regional Resilience to a Changing Climate (ARRCC)
new technologies and innovative approaches to help vulnerable communities use weather warnings and forecasts to better prepare for climate-related shocks. Asia is highly vulnerable to natural disasters and this vulnerability is expected to increase. The ARRCC programme targeted the most vulnerable
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Announcement of study support grants in climate science
-production, climate services, weather/climate science expertise etc) Please detail processes that are in place to ensure ethical research practices. (* the institute where the applicant is currently registered or appointed) Insurance The Met Office requires the following levels of insurance
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Building capacity and improving climate resilience in the Philippines
Improving resilience to weather and climate extremes
with the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA), to help strengthen PAGASA's technical capabilities as well as provide state-of-the-art information to guide decisions and build resilience to future climate-related risks. Project summary The partnership
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Food, Farming and Natural Environment Climate Service
Met Office science is helping UK farmers and the wider food chain prepare for a changing climate. This work includes a number of ‘Climate Services’ which are funded by Defra (Department for Environment, Food and Rural Affairs).
UK agriculture, food and climate adaptation The UK Climate Projections (UKCP) show us that the UK is likely to experience ‘hotter, drier summers and warmer, wetter winters’, as well as an increase in extreme weather events such as heavy rainfall, periods of drought and heatwaves. These changing
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Met Office Weather and Climate Syndication Service
Our free-to-use Weather and Climate Syndication Service is designed to provide digital and content providers access to the latest Met Office weather and climate content for UK public audiences.
, as well as relevant and timely climate information and visuals. To sign up to receive our syndication email: Please read and ensure you’ve understood the terms and conditions Licence Terms for Syndicated Email Content Complete this order form. RSS web feed content Our Really Simple Syndication
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UK Climate Resilience Programme additional resources
Additional resources produced by the UK Climate Resilience Programme that ran from 2019 to 2023.
The UK Climate Resilience Programme produced a wide range of outputs, including data, journal papers, reports and briefings. Data 1. Samples of extreme winters to support climate adaptation This data set is designed to better understand the statistics of three extreme winters, as sampled by the UK
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climate-of-central-africa-summary-infographic-portuguesepdf
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east-africa-climate-risk-report-final.pdf
Climate risk report for the East Africa region Authors: Katy Richardson, Roger Calow, Florence Pichon, Stacey New, and Rebecca Osborne Reviewers: Richard Jones, Jane Strachan, Kirsty Lewis, Mandar Trivedi, and Leah Mwai Recommended citation: Richardson, K., Calow, R., Pichon, F., New, S