I was born in Lisbon, Portugal. I am an environmental modeller working on climate and air quality policy, at RFF-CMCC EIEE in MIlan, Italy. I am interested in climate change, integrated assessment approaches, environmental statistics, energy policy, environmental economics, and air pollution. I like sunny days and skate bowls. I have two amazing kids: one ninja turtle and a jedi baby girl. We all live together with the amazing dad 'Tony Stark', whom we are trying to convince to adopt an Hamster.
The COMMIT EuropeAid project focus on climate policy scientific support, transition pathway scenarios and modelling capacity building.
Developing a state-of-the-art modelling framework of optimal Cost-Benefit Analyses for long term climate and air pollution scenarios.
Future socioeconomic developments and climate policies will play a role in air quality improvement. We compute new global annual air quality indices to provide insights into future global and regional air quality, allowing for the evaluation of climate policies. We project the future air pollution concentrations for 5 socioeconomic pathways and a broad range of climate radiative forcing targets, using a transport chemistry emulator and the emission database produced for the 6th IPCC assessment report. Our findings show that climate policies are very relevant in reducing air pollution exposure by mid-century and will have a stronger effect on the pollution reduction timing, while socioeconomic developments will have a greater impact on the absolute pollution level. A 1.5C policy target may prevent all regions from exceeding the annual average limit for all pollutants, except PM2.5. We emphasize the importance of considering exposure air quality indices rather than a population-weighted average index.
Air pollution (AP) is considered the main environmental problem by the World Health Organization (WHO). Outdoor AP is responsible for 3.3 million premature deaths yearly worldwide. With the continuous burning of fossil fuels and the increasing number of population living in cities, where polluting intense activities are very concentrated, this number is bound to increase if no oriented or integrated policy is in place. Global scale IAMs typically minimize the cost of climate policies, or national/regional energy strategies. Often this framework neglects the benefits that leak from the climate goals to other environmental issues. In this paper we propose a framework that internalizes the air pollution and the climate change impacts in order to inform on optimal cost-benefit multi-objective strategies. We set out to quantify the AP and CC impacts that can be avoided using optimal CBA policy. We investigate the regional heterogeneity of the impacts and provide insights about the robustness of CBA.
Integrated assessment models which include endogenous description of learning-by-researching dynamics allow the study of the influence of R&D investments on the cost of technologies. This is especially important in the context of climate change, due to the potential reductions on the cost of future green technologies that will allow the decarbonization of the energy system. Understanding the size of such investment, and its distribution across countries and technologies is a key insight to inform policy makers. This work will provide a space for knowledge sharing from different IAMs in order to improve the model representation of technical change. It will combine knowledge form econometric studies with the modelling of future technical change.
Graphical visualization of the GYAQI (Global Yearly Air Quality Index) and other Indices as in Aleluia Reis et al. 2018. The index is shown for 5 global regions. The aggregated indices and the sub-indices are provided. The shaded range corresponds to the model range of results.
This Website provides a graphical overview of the database, analysing the experts’ background, origin, expertise, experience and gender. The database consists of 122 experts who have voluntarily registered, until the 13th of April.
National governments have submitted emission mitigation pledges under the Paris Agreement that vary considerably in their form, level of required emission mitigation, elaboration of non-emission goals, and implementation strategies. As a result, domestic emission mitigation programs necessary to deliver on the Paris pledges will diverge in the degree to which that mitigation will be achieved at least cost.
FASST(R) is a fast chemistry transport model, an R version of the reduced-form TM5- FASST model developed at JRC-Ispra, to compute the annual concentrations of several pollutants, namely SO2 , NOx , fine Particulate Matter (PM 2.5) and O3.
TM5-FASST is a source-receptor reduced-form model of TM5 full chemical transport model. The fine PM2.5 include Particulate Organic Matter (POM), secondary inorganic PM, dust and sea-salt. The FASST(R) model produces concentrations on a world spatial grid of resolution of 1◦×1◦.
It calculates concentrations, premature death from exposure to Ozone and PM2.5, and crop loss due to Ozone.
WITCH consists of a dynamic global model that integrates in a unified framework the most important elements of climate change. The economy is modelled through an inter-temporal optimal growth model which captures the long term economic growth dynamics. A compact representation of the energy sector is fully integrated (hard linked) with the rest of the economy so that energy investments and resources are chosen optimally, together with the other macroeconomic variables.
Land use mitigation options are available through a soft link with a land use and forestry model (GLOBIOM). A climate model (MAGICC) is used to compute the future climate. Climate change impacts the economic output through a damage function, depending also on the rate of investments in adaptation. This allows accounting for the complete dynamic of climate change mitigation and adaptation.
RFF-CMCC EIEE Milano, Italy.