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.  Monitoring global mean surface temperature is useful because it is linked to many important climate impacts and it has a long and reliable historical record.  However, Earth’s surface temperature, even its global average, is strongly affected by internal climate variability, and is not necessarily

use. 1 We use 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 4 of 5 Source: Met

Circulation Model (GCM) data • NASA Earthdata, NASA GCM data • DHM websites (seasonal outlooks for precipitation and temperature, longer-term historical precipitation records) • Climate Change Knowledge Portal of WB – projection data © Crown copyright 2022, Met Office Page 17 of 24 • Longer-term climate

Key Aims  Dynamical drivers of regional seasonal to decadal climate variability.  Regional climate prediction using initialised climate models.  Evaluating the current risk of unprecedented extreme events.  Developing tools for dynamical diagnoses.  

CLIMATE SCIENCE FOR SERVICE PARTNERSHIP CHINA – CLIMATE CHANGE AND EXTREME EVENTS CSSP CHINA 2 ©Crown copyright 2019 CLIMATE SCIENCE FOR SERVICE PARTNERSHIP CHINA – CLIMATE CHANGE AND EXTREME EVENTS Is climate change increasing the likelihood of extreme weather in China? Typically, people discuss

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.

2025 - Spotlight on issue 100 of the Climate Newsletter Issue 99, 24 September 2025 - Climate news Issue 98, 10 September 2025 - Spotlight on wamest UK summer on record

Climate Science involves the development of observation-based climate datasets; the use of these datasets in climate change monitoring and attribution; and the use of Earth system models to make future long-term predictions.

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

Consultancy and services for a changing climate.

Natural variations in the climate and longer-term changes due to human activities are increasingly affecting us and the environment we live in, such as the availability of fresh water, food security, our health, and social and economic infrastructures. Tackling these issues to ensure that society

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.