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). PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies. Bulletin of the American Meteorological Society, 96(1), 69–83. https://doi.org/10.1175/BAMS-D-13-00068.1 Bai, L., Shi, C., Li, L., Yang, Y., & Wu, J. (2018). Accuracy
Deeper discovery Interpreting climate models 1 2 3 If your group is new to climate change, introduce the concept. Explain that climate change is the long-term shift in average weather patterns across the world. Since the mid-1800s, humans have contributed to the release of carbon dioxide and other
Climate Risk Reports
Human activities have unequivocally caused global warming, and this is affecting weather and climate extremes in every region of the world, disproportionately affecting the most vulnerable (IPCC AR6 SYR A1, A2). Action to adapt and prevent climate change cannot wait. Improved understanding
Analysing climate change and its impacts in the urban environment.
Urbanisation results in significant modification of local climates, the most apparent expression of this being the urban heat island. The global urban population now exceeds the rural population, and the urban population may exceed six billion by the 2050s. Therefore, society and our urban
The Hunger and Climate Vulnerability Index aims to paint a regional picture of how much climate change may affect life across the planet
Experts from the World Food Programme (WFP) have worked closely with our climate scientists to devise a measurement of vulnerability to climate change. Taking its definition from the Intergovernmental Panel on Climate Change (IPCC), 'vulnerability' describes the relative degrees of climate stress
The Climate Ambassador Scheme will link nurseries, schools and colleges across England with free access to local experts who can provide tailored advice and guidance to help them develop their own climate plans.
30,000 education settings across England. A key aim of the extended programme, as part of the Department for Education's Sustainability and Climate Change Strategy, is for all education settings to have a climate action plan and a sustainability lead in place by the end of 2025. To support
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
Configurations of the Unified Model for seasonal, decadal and centennial climate predictions run at the Met Office.
These are usually lower resolution than the models used for day to day weather forecasting, and include ocean and sea-ice components coupled to the atmosphere model in order to represent the full coupled climate system. Additional processes associated with atmospheric chemistry and the ecosystem
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Climate modelling at the Met Office
As faster supercomputers with more processing power are developed, harnessing this power and speed for the benefit of improving climate projections is the dream of climate scientists. The reality is there will never be enough speed or capability to infinitely improve climate models in all aspects
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