Cameo - Climate and Meteorology, Modelling, and Earth Observation
Coordinator: Mario Marcello Miglietta
Board: Elisa Adirosi – Susanna Corti
The macroarea CAMEO (Climate and Meteorology, Modelling, and Earth Observation) focuses on understanding past and future global climate changes and the fundamental processes driving them. This includes climate variability, trends, and meteorological events across spatial and temporal scales through an integrated approach. Achieving these goals requires advanced observational tools and methodologies, integration of high-quality historical data, and a range of modeling tools, from conceptual models to state-of-the-art numerical weather prediction and Earth system models.
Climate Modeling and Variability
This activity enhances understanding of climate variability and change by producing future climate scenario simulations at global and regional scales, developing downscaling techniques, and creating specific products for Climate Services. It evaluates the impacts and risks of climate change, particularly for Italy and hotspot regions like mountain areas, the Mediterranean, and the Polar regions.This activity focuses on understanding climate variability and change, improving past reconstructions, producing global and regional projections, retrospective predictions from seasonal to decadal, and developing specific products for Climate Services. It evaluates the impacts and risks of climate change, particularly for Italy and hotspot regions like mountain areas, the Mediterranean, and the Polar regions.
Activities
- Climate reconstructions, future scenarios, climate sensitivity, and predictability
- Climate change impacts on the hydrological cycle, including extremes
- Coupling and feedback of climate change with biosphere and ecosystems
- Processes in climate dynamics, variability, and abrupt climate shifts (tipping points)
- Dynamical and statistical/stochastic downscaling of climate simulations
- Transport processes and physical-chemical interactions
- Tropical-extratropical teleconnections and their variability as sources of seasonal to decadal predictability
- Paleoclimate analysis and modeling
- Climate monitoring in Italy
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Description of the EC-Earth model
Meteorological Modeling
This activity develops numerical tools to accurately simulate atmospheric processes from planetary to turbulent scales, supporting applications in the field of meteorology, atmospheric composition, and dispersion. These tools are also available to external users and support societal needs such as energy planning, risk evaluation, and air quality assessments.
Activities
- Atmospheric dynamics and turbulence
- Mesoscale meteorology and modeling
- Coupled meteorology-composition modeling
- Atmospheric dispersion modeling
- Microscale Modeling
- Data assimilation and Predictability
- Wind field analysis in coastal environments
GLOBO BOLAM MOLOCH Weather Forecasts CNR-ISAC
Earth Observations
Earth Observation (EO) technologies and methodologies improve understanding of atmospheric interactions and feedbacks in the upper and lower part of the troposphere and at the air/soil interface. Activities focus on the development and integration of EO techniques (satellite- and ground-based) for monitoring clouds, precipitation, wind, air-sea interaction processes, radiation, to study phenomena and processes related to the hydrological cycle, to analyse and monitor extreme events in the Mediterranean basin, and to study turbulent and dispersive dynamics of the atmospheric boundary layer and its impact on weather and climate.
Activities
- Satellite meteorology and precipitation monitoring
- Radar meteorology and disdrometers
- Atmospheric electricity and multisensor techniques
- Machine learning
- Cloud and precipitation physics
- Data assimilation and nowcasting
- Photometry and solar radiation
- Planetary boundary layer studies.
For remote sensing and in-situ facilities and instruments visit Observations
Atmospheric Circulation
This activity improves knowledge of atmospheric processes like turbulence, convection, and radiation through Earth Observations and modeling tools at different scales. It also analyzes mechanisms of formation, development, intensification and decay behind synoptic-scale and mesoscale phenomena such as extratropical, tropical, and tropical-like cyclones, and mesoscale convective systems and develops parameterization schemes for weather and climate models.
Activities
- Theory and modelling of the planetary boundary layer
- Instabilities and predictability
- Techniques for extended-range forecasts
Grand Challenges
1) The Water Cycle in a Changing Climate
This research investigates changes in the water cycle, including precipitation quantification and regimes, atmospheric circulation, snow cover, glaciers, and water resources in a warming climate.
Methods
- Modeling and observing water cycle processes at global and regional scales
- Assessing tipping points and their impacts
- Developing observational technologies for studying soil hydrology, clouds, precipitation, wind, and radiation
Research Topics
- Cloud and precipitation physics
- Hydrological cycle changes and drought monitoring
- Data assimilation
- Precipitation estimation, trends and regimes
- Humidity transport by large-scale atmospheric circulations (Atmospheric rivers)
- Water resource management
2) Climate and Weather Extremes
Understanding the mechanisms behind precipitation and temperature extremes in a changing climate is a priority. Research focuses on processes leading to extreme events, their prediction, and future projections.
Methods
- High-resolution modeling and integrated prediction chains for the prediction, attribution and future projection of extreme events
- Analysis of historical extreme events using reanalysis and instrumental data including series of daily temperatures and precipitation
- Development of observational techniques integrated with modeling tools for reconstruction and analysis of the formation and development processes and for the characterization of extreme weather events in the Mediterranean basin
Research Topics
- Mechanisms causing extreme events
- Improving weather forecasting and climate projections
- Reconstructing and analyzing historical series of extreme events
- EO techniques for extremes monitoring and characterisation
3) Climate Change Hotspots
This research explores amplified impacts of global climate change in hotspots such as polar areas, mountains, the Mediterranean, and urban areas. Key topics include understanding processes, coupling and feedback mechanisms, predictability studies, elevation-dependent warming, polar amplification, and Mediterranean climate shifts.
Methods
- Analysis of feedbacks and processes using observational datasets and models
- Development of stochastic downscaling techniques
- Development of EO methodologies and analysis of long-term observational datasets
- Study of turbulent and dispersive dynamics of the atmospheric boundary layer and its impact in hot spot areas
- Integration of observational and modeling techniques for hotspot areas
Research Topics
- High-altitude hydrological cycle changes
- Polar and Arctic amplification processes
- Seasonal and decadal predictions in the Mediterranean
- Turbulent dynamics of the atmospheric boundary layer
4) Towards Seamless Observation-Constrained Models
Efforts aim to develop meteorological and climate models with observationally-constrained processes/parameterizations. This seamless modeling framework enhances prediction accuracy across different scales and aims to reinforce the ISAC atmospheric modeling chain (Moloch/Bolam/Globo) by pursuing “seamless” development of predictions and modeling.
Methods
- Development of new parameterizations for processes like PBL dynamics and land water cycles
- Application of a “seamless” approach to ensure: (i) exploitation of the available observational constraints; (ii) design of parameterizations that can be seamlessly integrated at the different time and spatial scales
- Integration of high-performance computing network and infrastructures for high-resolution simulations and for handling, processing and analysis of large volumes of climate and observational data
Research Topics
- Improved surface and PBL parameterizations
- Improve representation of hydrological systems and surface processes
- Realistic surface emissivity and surface albedo parameterization
- Use of artificial intelligence for physical parameterization development