The main activities of REMHI Division include studies about: regionalization of the climatic signal through the development and use of statistical and dynamical downscaling approaches, and qualitative evaluation of the effects of climate changes and anthropogenic pressure on the geo hydrological hazards (such as landslides, floods and droughts). Furthermore, in the Division are developed and implemented procedures able to optimize the link between climate and impacts models, and tools for the correct quantification of the associated uncertainty. The REMHI Division is involved in the European COSMO consortium since 2008 where has been developed different COSMO CLM optimized configurations; in particular over Africa, Asia Euro-Mediterranean area. The Division is involved in the CORDEX project and, more specifically in the activity of MENA CORDEX and EURO CORDEX. REMHI has also competences on some specific issues very strategic for correct evaluation of impacts of climate changes; among these, there is the development of dynamical and statistical methods from the temporal disaggregation of precipitation up to subdaily scale; in particular REMHI is developing a very high resolution (about 2 km) COSMO CLM configuration to provide more accurate representation of precipitation diurnal cycle. Furthermore, an updated version of the very high resolution COSMO configuration, including urban parameterization schemes, has been used to evaluate the effect of the urban areas over the local climate of the main cities in the Northern Italy. The scientific activity of the Division also includes the development of advanced tool for the management and visualization; for this scope has been developed a tool in GIS environment (CLIME) for the validation and analysis of data (observed and simulated), but also including techniques to reduce the climate models bias and to manage different observation formats. Furthermore, REMHI has developed a methodology, including different climate, hydrological and hydraulic models, to correctly qualify/quantify the variation of geo-hydrological hazards due to climate change and anthropogenic pressure. Furthermore, tools for the evaluation of the overall models uncertainty, included in the simulation chain, are adopted. This research activity is supported by the collaboration with different local authorities (environmental agencies and Universities) ensuring continuous feedback on the methodology and on the usability of the results for the definition of future actions.
Research Unit Leader
The aim of this unit is the evaluation of the variation induced by Climate Change and human pressure on average and extremes atmospherical variables through development and implementations of Regional Climate Models (RCM). Different RCM optimized configuration, at high and very high resolution, in different geographical contexts, have been defined to provide detailed climate scenarios. The scientific activity also includes the analysis of the coupled local effects of urbanized areas and climate change through very high resolution simulations. Activities are carried out in scientific collaborations with several research institutions and through the participation to national and international projects (e.g. MENA – Cordex ed EURO-CORDEX).
Research Unit Leader
The Unit has the main goal to investigate how the variations in Extreme Weather Events potentially induced by Climate Changes may impact natural and urban environments. In this perspective, the analysis primarily focus on the assessment of the variations in occurrence and magnitude of geo-hydrological (floods, drought and landslide) hazards and impacts on the population (heat waves, health). Due to its peculiarities, the Unit is deeply engaged in involvement of stakeholders and policy makers (Municipalities, Regional authorities, Regional environmental agencies) by fostering participatory processes. Furthermore, it relies on the collaboration of national and international universities.
Research Unit Leader
Alessandra Lucia Zollo
Development and implementation of methods and tools for the correct coupling of climate and impact models. Among these there are different bias correction methodologies and statistical tools for the spatio-temporal disaggregation of atmospherical parameters; more specifically up to sub daily time scale and up to spatial scale of hundreds of meters. Tools are also implemented in GIS environment with user-friendly interface in order to support end users in the analysis and correct use of climate data on their specific applications.