Models

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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 a state-of-the-art modelling framework widely used in ocean and climate research, as well as in operational forecasting. It provides a flexible and modular system for simulating the ocean in its physical, sea-ice, and biogeochemical components.


OceanVar2

Due to the sparsity of data in the ocean interior, oceans require specialized data assimilation schemes. The OceanVar2, developed at CMCC, is a state-of-the-art variational ocean data assimilation framework.


PyPSA-Eur: Python for Power System Analysis – Europe

PyPSA-Eur is an open-source model for optimizing and analyzing the European energy system. It is built on thePyPSA (Python for Power System Analysis) framework and includes detailed representations of demand and supplyfor all energy sectors across Europe.


RICE50+: A multi-regional Integrated Assessment Model

The model is a modular, highly regionalized, and flexible model built upon the DICE model, with calibrated abaetment costs, a variety of regional climate and impact functions. It includes in a modular fashion features such as within-country inequality, Solar Radiation Management, Carbon Dioxide Removal, and Natural Capital, among others.


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-2 is an open-source, Python-coded numerical modelling framework for ship voyage optimisation or weather routing.  Leveraging a graph-search methodology, VISIR-2 makes use of dynamic meteo-oceanographic fields to compute optimal ship routes. Its versatility extends to navigating coastal and archipelagic regions.


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.


WRF – Weather Research and Forecasting model

What is WRF WRF (Weather Research and Forecasting model, Skamarock et al., 2019) is a mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications, developed at the National Center for Atmospheric Research (NCAR), Boulder, CO, U.S.A. It relies on two dynamical cores: the Advanced Research WRF (ARW) and the NCEP Non-hydrostatic Mesoscale Model (NMM).


WW3 – WAVEWATCH III

What is WW3? WAVEWATCH III (WW3) (WW3DG, 2019) is a third-generation spectral wave model that integrates the latest advances in wind–wave dynamics. Originally developed at NOAA/NCEP, it is now maintained and further developed by the international WW3 Development Group.

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