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Improving our understanding of the role of the oceans and the cryosphere (ice) in the climate system.
Key aims Improving ocean and ice modelling capability. Providing advice to government regarding climate mitigation. Understanding how the oceans, sea-ice and land-ice could be affected by climate change and how these changes could feed back onto the climate system.
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
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
Skip to main content Menu Weather & climate Research programmes Services About us Careers Met Office Search site Search x 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
Skip to main content Menu Weather & climate Research programmes Services About us Careers Met Office Search site Search x 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
the day-time maximum. In either situation this makes a comparison with the daily records invalid. We do not quote highest/lowest maximum/minimum day-time and night-time records separately. The main reason is that manual climate stations only report daily 0900-0900 UTC maximum and minimum temps
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
This page displays airfield climate statistics for 48 UK airports including occurrences of Low Visibility Procedures, temperature, low cloud base, significant weather, visibility and wind.
from 1990 to 2021 has been used to allow comparison to the most recent climatological reference period (Charting the UK;s changing climate - Met Office). Where this full period is not available, the maximum range is used using data from METARs recorded at each airfield. The number of observations
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
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