Search results (4363)

Web results

• AI in climate science

  Artificial intelligence (AI) and machine learning (ML) have demonstrated potential for their application in weather forecasting, the crossovers with climate science suggests that similar progress is possible in climate modelling.

  Climate models are numerical representations of the Earth system (including components such as the atmosphere, ocean and land) that are used to explore long-term changes to the underlying statistical distributions that govern day-to-day weather. Developments in climate models have typically come

• Regional climate modelling

  Developing models and techniques to produce regional climate information for climate change impacts and adaptation assessments.

  The primary tool used in this work is the regional climate model, a higher resolution limited area version of a global atmospheric model. It simulates high-resolution climate skilfully through its improved resolution of a regional physiography and atmospheric motions. Work is undertaken to assess

• Urban climate impacts

  Analysing climate change and its impacts in the urban environment.

  Urbanisation results in significant modification of local climates, the most apparent expression of this being the urban heat island. The global urban population now exceeds the rural population, and the urban population may exceed six billion by the 2050s. Therefore, society and our urban

• climate hackathon PRINT

  Climate Data Challenge hackathon series During the first half of 2021 the Met Office and Met Office Academic Partnership (MOAP) universities led a series of virtual hackathon events with the aim of using a variety of skill sets and data products to tackle challenges related to climate change

• Climate webinar series

  Met Office climate science webinars

  In 2023 the Met Office ran a series of climate science webinars following on from a number of events ahead of COP27 in 2022.  Below you will find details of these past events including video recordings and written summaries. Details of upcoming events will be added below including registration

• Climate change scientists

  Our climate change scientists

  Dr Tim Andrews Tim is a climate scientist working on forcing, feedbacks and heat uptake in the climate system. Dr Alejandro Bodas-Salcedo Alejandro works on developing and assessing the Met Office Hadley Centre's climate models. Dr Rob Chadwick Rob looks at changes in the global water cycle related

• Upscaling Climate Services

  As part of the UK Climate Resilience (UKCR) programme, the Met Office has compiled an approach for upscaling climate services. This page introduces climate services providers to this resource.

  this means for climate services. We have reviewed existing upscaling literature and resources, and adapted themes and concepts from them to produce an upscaling approach for climate services. We have tested this in three case studies with different services and service providers. A toolkit, to aid

• Linking hunger and climate

  The Hunger and Climate Vulnerability Index aims to paint a regional picture of how much climate change may affect life across the planet

  Experts from the World Food Programme (WFP) have worked closely with our climate scientists to devise a measurement of vulnerability to climate change. Taking its definition from the Intergovernmental Panel on Climate Change (IPCC), 'vulnerability' describes the relative degrees of climate stress

• Climate change and health

  Skip to main content Weather & climate Research programmes Services About us Careers Menu Search site Search Back Weather & climate Everything you need to know about the forecast, and making the most of the weather. Find a forecast Warnings & advice Warnings & advice UK weather warnings UK Storm

• Climate sensitivity and feedbacks

  Understanding and quantifying the most important feedback processes operating in the climate system.

  An important aspect of this work is to use both models and observations to try to establish links between physical processes operating in past, present and future climates. This involves the development and refinement of diagnostics and metrics for assessing model performance, and for isolating