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Climate impacts

Investigating the impacts of climate change and variability on Earth and human systems; including water resources, agriculture, ecosystems, health and energy.

A key activity of the group is the development and application of impacts models that simulate a number of terrestrial processes interactively. Using the output from these models, in addition to more complex Earth System Models, the group addresses the increasing requirements for more detailed climate impact information that is necessary to underpin both adaptation planning and mitigation advice.

Climate impacts

The Climate Impacts Modelling (CIM) group are a team of scientists who work with and develop integrated models for assessing climate change impacts. The team focuses on climate change and agriculture, water resources and health.

The Climate Impacts Modelling (CIM) group are a team of scientists who work with and develop integrated models for assessing climate change impacts. The team focuses on climate change and agriculture, water resources and health. We are part of the Earth System Science. The Climate Impacts Modelling

Climate Newsletter

Our twice-monthly climate newsletter covers the latest news on climate change and our environment. We’ll share scientific thinking and developments in climate science.

Our Climate Newsletter brings together research and news to inform decision makers, scientists and the public about the latest climate science. The newsletter will also keep you informed about what’s coming up, including expected announcements and relevant events.  We publish the Climate Newsletter

ukcp18-precipitation-factsheet-january-2026.pdf

a reanalysis dataset ERA-Interim (www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim). It provides a comprehensive synthetic historical record of climate and is produced using observations and numerical models. www.metoffice.gov.uk Pg 6 of 8 Source: Met Office © Crown

Why has it been so wet this winter?

weather records The role of climate change While this winter’s weather has been heavily influenced by natural variability and atmospheric patterns, climate change provides important context. A warmer atmosphere can hold more moisture, approximately 7% more for every degree Celsius of warming. This means

News

2020: Climate indicators reveal worsening climate

World Meteorological Organization report reveals the state of the climate in 2020.

The State of the Global Climate 2020 highlights the latest indicators of the climate system, including greenhouse gas concentrations, increasing land and ocean temperatures, sea level rise, melting ice and glacier retreat and extreme weather. The WMO report, which included contributions from

Climate Risk Reports - Climate in Context Methodology

Climate Risk Reports - Climate in Context Methodology

The climate risk reports are a series of regional climate risk reports the Met Office has produced in collaboration with ODI and commissioned by FCDO to provide evidence to the UK Government in support of adaptation and resilience planning and investments. Climate risk is a combination of hazard

hctn_sept2023rapidhadgemstudy_v1.0.pdf

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 in September UK temperature. To facilitate a rapid

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

sa24_wcssp-south-africa-fy2425-grant-funding-opportunities_eoi1.pdf

of Climate Variability and change over Africa by using Machine Learning as a tool for Data Rescue The observational record of weather and climate is severely limited – there are many times and places where we have few or no observations, and these limitations restrict both science and predictions

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