Projects

Showing 11 - 20 results of 28

The CAMS2_35 invitation to tender describes a highly technical project that requires experience and expertise in several domains: integrated global chemistry and aerosol modelling, physics and chemistry of the atmosphere, air quality modelling, as well as a detailed knowledge on the architecture and functioning of the IFS and of the possible observational datasets used for...

NextGEMS will develop and apply a new generation of global coupled Storm-Resolving Earth System Models (SR-ESMs) to the study of anthropogenic climate change. SR-ESMs are distinguished by their fine, 3 km, grid in the atmosphere andocean. This allows a more physical representation of atmospheric and oceanic circulation systems, including their coupling to Earth-system...

The goal of this project is to extend the temporal coverage of the CAMS-REG_ERF-COVID19 dataset developed under the CAMS_COP066 contract, from 01/08/2020 to 31/12/2020, and to include the effect of the second wave and the associated new round of lockdowns across the different European countries during the year 2020. The extension of the dataset will allow to estimate the...

A climate resilient society requires reliable monitoring and forecasting information of the climate trends, patterns anddisturbances, both at global and regional scales. Through CONsistent representation of temporal variations of boundary Forcings in reanalysES and Seasonal forecasts, CONFESS will contribute to the emerging societal need for an enhanced Copernicus Climate...

Air quality and climate change are some of today's most important environmental concerns. Poor air quality and climate change are closely linked and directly relate to the changing composition of the atmosphere. The dominant driver of the changing atmospheric composition over the past decades are human activities like industrial production, agriculture and energy production....

At the time of writing of this proposal, most European countries have imposed lockdowns to combat the spread of the COVID-19 pandemic, which have forced many industries, businesses and transport networks to either close down or drastically reduce their activity. Such economic interruption, which is unprecedented in many ways, is resulting in a sudden drop of atmospheric...

The DeepLIM study has two technical goals:

  • understanding, developing and exploiting the use of Generative Artificial Intelligence to improve and augment datasets acquired via observation campaigns, or generated by computationally intensive models.
  • improving the state of the art models that are in use to perform Inversion Modelling with the use of Deep...

CAMS_43 is a project that requires experience and expertise in several domains: global aerosol modelling, physics and chemistry of the atmosphere, data assimilation and its computational aspects, as well as a detailed knowledge on the architecture and functioning of the IFS. Our proposal is a continuation and an extension of what was achieved during phase 1 of CAMS_43. It...

Organic aerosols (OA) affect climate forcing and human health, but still large uncertainties exist in their sources and evolution. A large fraction of submicron particulate matter, 20%90%, can be attributed to OA. Recent studies have shown that secondary organic aerosols (SOA) account for a large fraction of the OA burden. Most OA efficiently scatter visible radiation and...

The Copernicus Atmosphere Monitoring Service (CAMS) is providing services to meet the information need on atmospheric composition, including detailed distributions of reactive gases such as ozone, aerosol and greenhouse gases. CAMS provides daily analysis and forecasts, as well as reanalyses products. CAMS has a global service, implemented by ECMWF, and a regional air quality...

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