Search results (4,069)

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  

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

be higher than 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 We do not quote highest/lowest maximum/minimum day-time and night-time records separately.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

August 2018 - A new study suggests climate sensitivity may be larger and more uncertain than previously thought.

, because if the past warming trend is different to what we might expect in the future, then climate sensitivity, estimated from the observed historical record, may not apply to the future. A new study, led by Dr Timothy Andrews of the Met Office Hadley Centre, along with an international team

A link to view monthly regional climate anomalies

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

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

Providing advice on the impact of climate variability and change for security.

Climate science has made huge progress in understanding the dynamics of climate variability and change over the last few decades, with climate models being a valuable tool for understanding the future climate. However, there remains a gap between the type of information climate projections provide

Developing observational data; monitoring and interpreting climate variations and change.

Climate information and statistics, based on many types of surface, atmospheric and marine measurements, are produced on national to global scales. Climate models are used to attribute causes of past climate change that are seen within the observations. The datasets produced by our scientists are also used by other science areas. Scientific users throughout the world access the data and statistics via the HadObs website.

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