Marco Verdecchia – Curriculum

Marco Verdecchia – Curriculum 1986 Degree in Physics, University of L'Aquila Italy

1988-1989 Research grants c/o Department of Physics - University of L'Aquila Italy 1990-2000 Technologist c/o Department of Physics - University of L'Aquila Italy 2000-2015 Researcher c/o Department of Physics - University of L'Aquila Italy

Main Research Activities

Development of 2D models of stratosphere. Studies of the radiative and dynamical effects on the stratosphere due to great volcanic eruptions.

Development of 2D models for the simulation of Antarctic "ozone hole". Parameterization of stratospheric heterogeneous chemistry. Study of modulation of Antarctic ozone due to the QBO.

Climatic effects at regional scale of CO2 increase. Simulations have been carried out using Limited Area Model and in collaboration with National Center for Atmospheric Research (Colorado)where he spent few months in 1992.

Applications of Biological algorithms to Atmospheric Physics problems. For example recognition of North Atlantic Atmospheric Blocking using a Neural Network Approach.

From 1993 until 1996 he collaborate with INFN group of University of L'Aquila and was involved in the acquisition and elaboration of Icarus experiment data. Icarus is a Time Projection Chamber (TPC) developed for neutrinos observation. During that period he spent many months in the CERN laboratories (Geneva, CH) where the first Icarus prototype was built. He collaborated with Icarus experiment mainly for what concerns developments and implementation of algorithms for TPC signals analysis. This represents a very critical aspect of the experiment because of the huge amount of data expected to be acquired (about 1 Gb/sec).

He was involved in the study of climatologic and meteorological effects, occurring at regional scale, as a consequence of land use modification connected to human activities. As an example numerical experiments was carried out to investigate the hydrometeorological effects, in few representative scenarios, of the Fucino Lake on the Surrounding Region. At present time the same studios is carried out to simulate changes in precipitations regime due to the melting of many glaciers in Alpine region.

Rainfall estimation using data from polar and geostationary satellites, using Neural Network approach. Development of a native general purpose software to implement recurrent neural network. For what concerns the operational applications of such algorithms, collaboration activities have been activated with University of Reading (UK).

In the last years the main activity has been linked to the development of a new hydrological model for Cetemps Centre of Excellence activities. Cetemps Hydrological Model (CHYM) has been designed to be used in any geographical domain and with any resolution up to the resolution of the implemented Digital Elevation Model (DEM). An important characteristic of the model is also to acquire different and heterogeneous (simulated and observed) data sources for downscaling of rainfall field at hydrological space scale (few hundreds of meters). The offline coupling of CHYM and MM5 meteorological model is now operational and able to give a suitable flood alert mapping.

Selected references since 2005

F. S. Marzano, D. Cimini, E. Coppola, Verdecchia M., V. Levizzani, J. F. Turk (2005). Satellite radiometric remote sensing of rainfall fields: multi-sensor retrival tecniques at geostationary scale.

Advances In Geosciences, vol. 2; p. 267-272, ISSN: 1680-7340.

Tomassetti M., Coppola E., Verdecchia M., Visconti G. (2005). Coupling a distributed grid based hydrological model and MM5 meteorological model for flooding alert mapping. Advances In Geosciences, vol. 2; p. 59-63, ISSN: 1680-7340.

Coppola E., D. I. F. Grimes, M. Verdecchia and G. Visconti, Validation of Improved TAMANN Neural Network for Operational Satellite-Derived Rainfall Estimation in Africa, J. of Appl. Met., 45 (11), pp. 1557-1572, 2006.

Rivolta G., F. S. Marzano, E. Coppola and M. Verdecchia,

Artificial neural-network technique for precipitation nowcasting from satellite imagery

Coppola E., B. Tomassetti, L. Mariotti, M. Verdecchia and G. Visconti,

Cellular automata algorithms for drainage network extraction and rainfall data assimilation

Marzano F. S., G. Rivolta, E. Coppola, B. Tomassetti and M. Verdecchia,

Rainfall Nowcasting From Multisatellite Passive-Sensor Images Using a Recurrent Neural Network

Tomassetti B., F. S. Marzano, M. Montopoli and M. Verdecchia,

Rainfall Radar Nowcasting using a Neural-Network Cascade Approach

Verdecchia M., E. Coppola, C. Faccani, R. Ferretti, A. Memmo, M. Montopoli, G. Rivolta, T. Paolucci, E.

Picciotti, A. Santacasa, B. Tomassetti, G. Visconti and F. S. Marzano,

Flood forecast in complex orography coupling distributed hydrometeorological models and in-situ and remote sensing data

Sorooshian, S., Hsu, K.L., Coppola, E., Tomassetti, B., Verdecchia, M., Visconti, G. (Eds.),

Hydrological Modelling and the Water Cycle Coupling ther Atmospheric and Hydrological Models

Water Science and Technology Library , Vol. 63. ISBN: 978-3-540-77842-4.

Tomassetti B., A. Angelosante Bruno, L. Pace, M. Verdecchia and G. Visconti

Prediction of Alternaria and Pleospora concentrations from the meteorological forecast and artificial neural network in L'Aquila, Abruzzo (Central Italy)

Tomassetti B., M. Verdecchia and F. Giorgi,

NN5: A neural network based approach for the downscaling of precipitation fields - Model description and preliminary results

Barbara Tomassetti, Annalina Lombardi, Enzo Cerasani, Antonio Di Sabatino, Loretta Pace, Dina Ammazzalorso and Marco Verdecchia,

Mapping of Alternaria and Pleospora concentrations in Central Italy using meteorological forecast and Neural Network estimator

Gabriele Curci, Giovanni Cinque, Paolo Tuccella, Guido Visconti, Marco Verdecchia, Marco Iarlori and Vincenzo Rizi,

Modelling air quality impact of a biomass energy power plant in a mountain

valley in Central Italy

Erika Coppola, Marco Verdecchia, Filippo Giorgi, Valentina Colaiuda, Barbara Tomassetti, Annalina Lombardi,

Changing hydrological conditions in the Po basin under global warming

Fabio Biancofiore, Marco Verdecchia, Piero Di Carlo, Barbara Tomassetti, Eleonora Aruffo, Marcella Busilacchio, Sebastiano Bianco, Sinibaldo Di Tommaso, Carlo Colangeli

Analysis of surface ozone