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• construction-catalogue-v3.pdf

  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

• New climate science programme to meet climate challenge

  Climate science will need to continue to be at the heart of policy to mitigate and adapt to climate change, says the Met Office as it announces a new scientific programme.

  With the UK hosting the COP26 climate conference in Glasgow at the end of the year, the Met Office is launching a new climate science programme to address some of the key scientific challenges to inform the international climate gathering and beyond. Albert Klein Tank is the director of the Met

• CSSP-food security.indd

  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

• Microsoft Word - CSA 24-29 version for external Met Office website_FINAL

  that provides weather and climate information to enable the general public and specialist users (i.e. academia) to research and understand the science and history of meteorology and ensures compliance with the Public Records Act 1958. The Met Office should ensure that the weather story is the same

• 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

• Seasonal Climate Outlooks

  What is the Seasonal Climate Outlook? Following the El Nino event in 2015, the Met Office worked with the UK Government’s Foreign, Commonwealth and Development Office (FCDO) and the University of Reading to design a new service which would provide insights into the upcoming season and enable more

• Understanding climate change

  Quantifying and reducing uncertainty in climate change, through understanding and improving the representation of key processes.

  This area of research involves the design, building, evaluation and improvement of climate models informed by knowledge of the mechanisms of past, present and future climates. The scientific focus is on gaining understanding and improving the representation of key processes that are critical for climate variability and change on global and regional scales. Related pages Climate change scientists  

• Climate, cryosphere and oceans

  Improving our understanding of the role of the oceans and the cryosphere (ice) in the climate system.

  Changes in sea ice and land ice have important climate feedbacks, through albedo and ocean circulation. The melt of land ice results in sea level rise. Sea ice cover seasonally insulates the atmosphere from the ocean preventing the exchange of heat and gases. The formation of sea ice during winter

• Impacts of climate variability

  Description of research and applications of the impacts of climate variability on monthly to seasonal timescales.

  Predictions and climate model output often refer to large-scale phenomena (e.g. ENSO, NAO) or give information on large-area averages. The variables for which predictions are made are most often meteorological (e.g. temperature, rainfall). Users' needs are typically related to their economic

• 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