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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

Configurations of the Unified Model for seasonal, decadal and centennial climate predictions run at the Met Office.

These are usually lower resolution than the models used for day to day weather forecasting, and include ocean and sea-ice components coupled to the atmosphere model in order to represent the full coupled climate system. Additional processes associated with atmospheric chemistry and the ecosystem

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

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

Office and the Met Office logo are registered trademarks. © Crown copyright 2021, Met Office 01604 FOOD SECURITY PACK – Future Climate - Northeast Farming Region Current drought risk Drought is the dominant climate risk in the NFR. Climate models show that the observational record (blue line

Verification (capabilities and outputs) Dynamics research 42 Post processing (Gridded, Site specific, climatological record) Impact modelling Observation based research Observations systems research Weather Science IT Informatics Atmospheric dispersion Science partnerships Ocean forecasting Climate

AI4 Climate explores and applies cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) techniques to advance climate science and deliver improved climate information more efficiently.

AI4 Climate is funded by the UK Government’s Department for Science, Innovation and Technology (DSIT) through the International Science Partnerships Fund (ISPF) and sits within the Met Office’s National Capability AI (NCAI) Programme.  The NCAI Programme demonstrates our commitment to embedding AI

of different locations around the UK and globally. We hold original manuscripts dating back to 1860 and have digitised climate records from around 1960 for a wide variety of weather variables to meet your individual business needs. These include the following: • Precipitation • Air temperature

Office 2014 26 Historical Weather Data Weather Observations The Met Office holds an extensive archive of weather observations from thousands of different locations around the UK and globally. We hold original manuscripts dating back to 1860 and have digitised climate records from around 1960

attribution study using © Crown copyright 2024, Met Office Page 5 of 34 HadGEM3-A (Ciavarella et al., 2018) to assess the changing chance of observing the record high UK May and Spring (March-April-May) temperatures recorded in 2024. To facilitate a rapid study, the attribution study uses a single climate