Year: 2025
Type: article
Abstract: Applications of reanalyses in climate servicesClimate re-analyses are generated by combining Earth system models with meteorological observations, using methods that are similar to those used for numerical weather prediction (NWP).Reanalysis datasets contain a wealth of information about past weather and the recent climate, in the form of multi-decadal time series for many geophysical variables on global grids.Several major NWP centres intermittently conduct reanalysis projects as part of their research and development activities.Reanalysis data have been widely used by the scientific community, especially in the Earth sciences, as evidenced by the very high number of citations of reanalysis products in the published literature.The quality and utility of reanalysis products have improved greatly over the years, mainly due to steady progress in modelling, Earth observation and data assimilation.At the same time, as society awakens to the real consequences of climate change, demand for reliable information about weather and climate has increased rapidly.Reanalysis data, together with other types of climate data, are now routinely used to assess past, present and future impacts of climate change in agriculture, water resources, energy, health, urban planning, transport and other sectors.Consequently, the community of reanalysis users is growing and becoming much more diverse, with experts in different domains, technical consultants, data scientists and many others who are climate-literate but may not be specialized in climate science.Having the needs and requirements of this new user community in mind, the Copernicus Climate Change Service (C3S; Buontempo et al., 2022) was designed to facilitate and support development of effective climate services based on high-quality, consistent, scientific data.The service focuses on simplifying access to data and enabling new applications for planners, policy makers and technical experts in the private and public spheres.The backbone of C3S is the Climate Data Store (CDS), which provides open and free access to a catalogue of more than 150 quality-controlled climate datasets, including observations, reanalysis products, climate
Source: Meteorological Applications
DOI: 10.1002/met.70026
Authors: Carlo Buontempo, Chiara Cagnazzo, Dick Dee
Institution: European Centre for Medium-Range Weather Forecasts
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $2,880
Funder: European Commission
OpenAlex ID: W4406133813
