Search results (4112)

Web results

• hctn_sept2023rapidhadgemstudy_v11pdf

  value of 15.2˚C equalled the previous record from 2006. This attribution study is supplemented with a qualitative assessment of projected September mean temperature over the UK using the UK Climate Projections (UKCP; Murphy et al., 2018), which provides a guide to expected future changes

• hctn_sept2023rapidhadgemstudy_v1.1.pdf

  value of 15.2˚C equalled the previous record from 2006. This attribution study is supplemented with a qualitative assessment of projected September mean temperature over the UK using the UK Climate Projections (UKCP; Murphy et al., 2018), which provides a guide to expected future changes

• an_attribution_study_of_the_uk_annual_mean_temperature_of_2025.pdf

  Executive Summary • 2025 was the warmest year on record for the UK with an annual mean temperature of 10.09°C replacing 2022 (10.03°C) as the hottest year on record. • In the current climate, UK annual mean temperatures exceeding those observed in 2025 are expected to occur with a best-estimate return time

• an_attribution_study_of_the_uk_annual_mean_temperature_of_2025pdf

  Executive Summary • 2025 was the warmest year on record for the UK with an annual mean temperature of 10.09°C replacing 2022 (10.03°C) as the hottest year on record. • In the current climate, UK annual mean temperatures exceeding those observed in 2025 are expected to occur with a best-estimate return time

• 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

• The future of climate modelling

  Climate modelling at the Met Office

  As faster supercomputers with more processing power are developed, harnessing this power and speed for the benefit of improving climate projections is the dream of climate scientists. The reality is there will never be enough speed or capability to infinitely improve climate models in all aspects

• Place

  Weather and climate change

• 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

• 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

• 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