Peano Daniele

Institute for Earth System Predictions
Earth System Modelling and Data Assimilation Division

via C. Berti Pichat 6/2 - 40127 Bologna, Italy

+39 051 0301600

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Dr. Daniele Peano is a Junior Scientist at CMCC in the “Earth System Modelling and Data Assimilation” (ESYDA)
Division. He has experience in ice sheet, land surface and climate modelling.
He has contributed to the development of the land component of the CMCC global coupled model with a specific focus on the land biogeochemical cycle (CMCC-CM2, CMCC-ESM2), high-resolution configurations (CMCC-CM2-HR4, CMCC-CM2-VHR4), and it is working at the development of the new CMCC coupled model (CMCC-CM3). He has contributed to various International projects (i.e. CRESCENDO, PRIMAVERA, COACCH, GoNEXUS), the sixth phase of the Coupled Model Intercomparison Projects (CMIP6), and some of CMIP6-specific MIPs (LUMIP, LS3MIP, C4MIP, HighResMIP).
He is nowadays involved in the CMCC activities for the new CMIP phase (CMIP7).

ULTIME PUBBLICAZIONI
Methodological Framework for the Evaluation of Climate Change Impacts on Rural Basins Using the GR2M Model
Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in Northern Europe
Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes
Near-global summer circulation response to the spring surface temperature anomaly in Tibetan Plateau –– the GEWEX/LS4P first phase experiment
The Euro-Mediterranean Center on Climate Change (CMCC) decadal prediction system
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning
Spring Land Temperature in Tibetan Plateau and Global-Scale Summer Precipitation – Initialization and Improved Prediction
On the role of Eurasian autumn snow cover in dynamical seasonal predictions
CMIP6 simulations with the CMCC Earth System Model (CMCC-ESM2)
Extreme Events Representation in CMCC-CM2 Standard and High Resolution General Circulation Models.
Vedi tutti gli articoli & papers di Peano Daniele