Modelli Archive

3D-CMCC FEM

3D-CMCC-FEM – Three Dimension Forest Ecosystem Model (Collalti et al., 2014; Collalti et al., 2016; Marconi et al., 2017; Collalti et al., 2018) is a dynamic process-based model which simulates forest growth, carbon allocation and other dynamics in heterogeneous populations (mixed and un-evenaged). The model is based on the reproduction, at daily time scale and according to climate, soil and stand characteristics, of the main eco-physiological processes governing gross and net primary production (GPP, NPP), carbon and water dynamics.

AQUATOX

AQUATOX is an aquatic ecosystem simulation model developed by Environmental Protection Agency (EPA). Its main goal is to predict the fate of nutrients, organic chemicals, and sediments in different water bodies (e.g.

BFM – Biogeochemical Flux Model

The Biogeochemical Flux Model (BFM) is a generalized marine biogeochemistry model based on a biomass continuum description of lower trophic levels in the marine environment. The major chemical and biological components are described in terms of functional groups by means of the theoretical concepts of Chemical Functional Families and Living Functional Groups (CFF and LFG; Vichi et al., 2023).

C-GLORS – The CMCC Global Ocean Physical Reanalysis System

The CMCC Global Ocean Physical Reanalysis System (C-GLORS) is used at CMCC to simulate the state of the ocean in the last decades. It consists of a variational data assimilation system (OceanVar), capable of assimilating all in-situ observations along with altimetry data, and a forecast step performed by the ocean model NEMO coupled with the LIM2 sea-ice model.

CMCC EBM

The Estuary Box Model, CMCC EBM, has been jointly developed by OPA Division of CMCC Foundation and the University of Bologna, Department of Physics and Astronomy. It is a time dependent numerical model based on two-layer averaged continuity and salinity conservation equations, linking the riverine freshwater and the salt sea waters (Verri et al., 2020; Verri et al., 2021).

CMCC Med Model

The climate model CMCC-Med is a coupled model atmosphere-ocean-sea-ice based on the climate model CMCC-CM but with a focus on the Mediterranean region. In particular, in the CMCC-Med model the global atmospheric component (ECHAM5) implemented at high-resolution (T159, corresponding to an horizontal grid spacing of about 80 Km) is coupled with the global ocean (OPA8.2 implemented in ORCA2 version) and, on the Mediterranean Sea, with an high-resolution model of this basin (NEMO-MFS implemented to 1/16°).

CMCC-CESM-NEMO – Climate coupled model

The CMCC–CESM–NEMO is the physical basis of the new CMCC Earth System Model (CMCC-ESM). It is a global coupled climate model derived from the NCAR coupled model CESM version 1.1.2 (Hurrell et al., 2013), where the ocean component is NEMO (Madec et al., 2012) rather than the NCAR ocean model.

CMCC-CM

The Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model CMCC-CM (Scoccimarro et al. 2011) is a coupled atmosphere–ocean general circulation model which has been implemented and developed starting from the Scale Interaction Experiment SINTEX-G (SXG) model (Gualdi et al.

CMCC-ESM – Earth System Model

The Earth System Modeling Unit at ODA division is devoted to the development and application of the CMCC Earth System Model. The current version CMCC-ESM2 is based on the coupling between the climate coupled model CMCC-CM2 (Cherchi et al., 2019), that accounts for interactive dynamics of atmosphere, ocean, sea-ice and land components, with the inclusion of the marine biogeochemistry to fully represent the global carbon cycles.

Coexistence Model

The coexistence model (Di Paola et al., 2012) is a simple quantitative dynamic model able to explain the observed co-occurrence of sclerophyllous evergreen oak species with deciduous ones of the Mediterranean forests. The model is formulated as a set of differential equations describing the competitive dynamic between two groups of species having different physiological responses to water stress.

COSMO-CLM – Climate Limited-area Modelling Community

At CMCC, the regional climate model COSMO-CLM (Rockel and Geyer, 2008) is currently used to perform dynamical downscaling of global climate simulations (see figure 1). Figure 1: A RCM domain embedded in a GCM grid.

DESYCO

DESYCO is a GIS-based Decision Support System (DSS) aimed at the integrated assessment of multiple climate change impacts on vulnerable coastal systems (e.g. beaches, river deltas, estuaries and lagoons, wetlands, agricultural and urban areas).

FASST(R) – FAst Scenario Screening Tool

FASST(R) is a source receptor model, an R version of the reduced-form TM5- FASST [5] model developed at JRC-Ispra, to compute the annual concentrations of several pollutants p, namely SO2 , NOx , fine Particulate Matter (PM2.5 ) and O3. The FASST(R) model produces concentrations on a world spatial grid of resolution of 1 ◦ × 1 ◦ , and the fine PM 2.5 concentrations include Particulate Organic Matter (POM), secondary inorganic PM, dust and sea-salt.

ICES – Intertemporal Computable Equilibrium System

The ICES - Intertemporal Computable Equilibrium System (https://www.icesmodel.org/) model is one of the main modelling tools developed within the FEEM Research Programme "Sustainable Development" and designed to assist in the study of the socio-economic dimension of climate change. ICES is a recursive dynamic general equilibrium model developed with the main (but not exclusive) purpose to assess the final welfare implication of climate change impacts on world economies.

IDI – Integrated Desertification Index

The Integrated Desertification Index (IDI) was developed (Santini et al., 2010) to combine in a semi-quantitative way multiple processes leading to desertification and simulated via mechanistic to empirical models. The outcomes from the modelling efforts on different desertification components are standardized and weighted so to be inserted in the IDI formulation.

LIM

LIM is a numerical model of sea ice designed for climate studies and operational oceanography. It is coupled to the ocean general circulation model OPA (Océan Parallélisé) and is part of NEMO (Nucleus for European Modeling of the Ocean).

LUC@CMCC – Land use change model

The land use change model LUC@CMCC was reformulated in Santini and Valentini (2011) starting from the CLUEs model (Verburg et al. 2002) to reproduce the dynamics of land use/cover change in the past and project them in the future.

Medslik-II

The oil spill model code MEDSLIK-II, based on its precursor oil spill model MEDSLIK is a freely available oil transport and transformation community model. The development of the MEDSLIK-II model is supported by a formal agreement (Memorandum of Agreement for the Operation and Continued Development of MEDSLIK-II) signed by the following institutions: CMCC – Centro Euro-Mediterraneo sui Cambiamenti Climatici (Italy) INGV – Istituto Nazionale di Geofisica e Vulcanologia (Italy) CNR-IAS – Consiglio Nazionale delle Ricerche-Istituto per lo studio degli impatti Antropici e Sostenibilità in ambiente marino (Italy) ORION – Joint Research and Development Centre ORION (Cyprus) UNIBO – Alma Mater Studiorum University of Bologna (Italy) FORTH – Numerical Analysis, Computational Fluid Dynamics and Scientific Computing Group at the Institute of Applied & Computational Mathematics (Greece) METODS – METOcean Dynamic Solutions Pty Ltd (Australia) UOA – National and Kapodistrian University of Athens (Greece) AUTH – Aristotle University of Thessaloniki (Greece) MEDSLIK-II simulates the transport of the surface slick governed by the water currents and by the wind.

NEMO – Nucleus for European Modelling of the Ocean

What is NEMO? NEMO (Nucleus for European Modelling of the Ocean, www.nemo-ocean.eu/) is is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences. It is developed in a sustainable way by a European Consortium that includes CMCC, CNRS (France), Mercator Ocean International (France), NERC-NOC (UK) and Metoffice UK.

OceanVar

OceanVar is the variational ocean data assimilation system developed at CMCC to provide initial conditions for ocean reanalyses and operational forecasts. It is a three-dimensional variational (3DVAR) system, formulated in its classical incremental variant.

SANIFS – Southern Adriatic Northern Ionian coastal Forecasting System

CMCC-OPA division has been developing and maintaining the Southern Adriatic Northern Ionian coastal Forecasting System (SANIFS) operational since September 2014. SANIFS is a coastal-ocean operational system providing short-term forecasts.

SHYFEM – Shallow water HYdrodynamic Finite Element Model

SHYFEM - Shallow water HYdrodynamic Finite Element Model is a package that solves the 3D hydrodynamic equations using finite element method on unstructured meshes, that are particularly suitable for applications in areas with a complex geometry and bathymetry such as jagged coasts, islands, fjords, lagoons, estuaries and lakes. Such meshes provide a seamless representation of the physical area in which the processes are object of study, allowing higher resolution only where needed, with consequent ease of computational resources.

SWAT

SWAT is a hydrologic model, developed by the Agricultural Research Service (ARS) of the United States Department of Agriculture (USDA) and Texas A&M AgriLife Research, that operates in order to assess the impacts of land management on water quality and quantity in watersheds over long periods. It has the capacity to simulate important nutrient and pesticide processes in the land phase and in the in-stream phase.

VISIR

VISIR is a numerical model for ship voyage optmisation, developed at CMCC since 2012. Leveraging a graph-search methodology, VISIR incorporates dynamic meteo-oceanographic fields and supports multiple vessel performance models.

WITCH – World Induced Technical Change Hybrid model

WITCH (World Induced Technical Change Hybrid) is an integrated assessment model designed to assess climate change mitigation and adaptation policies. WITCH consists of a dynamic global model that integrates in a unified framework the most important elements of climate change.