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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

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

2022_03_july_heatwave_v1

), setting a new UK and England temperature record by a margin of 1.6°C, and multiple stations across England also exceeded 40°C. This heatwave marked a milestone in UK climate history, with 40°C being recorded for the first time in the UK. The extent of the heatwave was remarkable with temperatures of 39°C

ukcp18-factsheet-precipitation.pdf

/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 Copyright 2019 What do you need to be aware of? Whilst

paper1_observing_changes_in_the_climate_system.pdf

in Arctic sea ice and a rise in global sea level. These changes are consistent with our understanding of how the climate system responds to increasing atmospheric greenhouse gases. Global mean surface temperatures remain high, with the last decade being the warmest on record. © Crown copyright 2013 3

News

New climate science programme to meet climate challenge

Climate science will need to continue to be at the heart of policy to mitigate and adapt to climate change, says the Met Office as it announces a new scientific programme.

With the UK hosting the COP26 climate conference in Glasgow at the end of the year, the Met Office is launching a new climate science programme to address some of the key scientific challenges to inform the international climate gathering and beyond. Albert Klein Tank is the director of the Met

upscaling-toolkit-introduction_and_stage1.pdf

• Institutionalisation address them • The innovation is tested and improved in collaboration with stakeholder groups requested climate service of the new normal is lobbied for, making it part of legal or climate services frameworks, for example Record any notes related to these additional

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

Weather and climate consultancy

Find out about how we can help you manage the risks and realise the opportunities associated with day-to-day weather, extreme events and future climate conditions.

The impact of extreme weather events are identified by global industry leaders as one of the most significant risks to their businesses (World Economic Forum – 2025 Global Risk Report). Our consultants work with you to understand how these weather and climate impacts affect your business

Climate sensitivity and feedbacks

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

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