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Daniele Peano is a Junior Research Associate fellow in the “Climate Simulation and Prediction” division. In 2016, he obtained the PhD title at Ca’ Foscari University (Venice) in the program “Science and Management of Climate Change” with a research project on “Simulation of Greenland mass balance until 2100”.
Nowadays, Daniele Peano is working on the development and implementation of the land surface model CLM 4.5 aiming at producing climate sensitivity experiments.
ULTIME PUBBLICAZIONI
- Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes
- Adaptation measures to global change in the Serpis River Basin (Spain): An evaluation considering agricultural benefits, environmental flows, and invasive fishes
- 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.
- Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences
- Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design