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Miguel Nogueira holds a PhD in Atmospheric Sciences in November/2014, a joint programme between FCUL (Faculdade de Ciências da Universidade de Lisboa) and Duke University (USA), where he also worked as an assistant researcher on climate variability over complex terrain. Since then, he conducts research on climate change and numerical climate modeling. Over the last 5 years, he published 14 papers in top journals, 10 as the leading author (6 as a single author). He submitted 3 additional papers, currently under review (2 as first author). He worked as postdoctoral researcher at IPMA (Instituto Português do Mar e da Atmosfera) and IDL (Instituto Dom Luiz - FCUL) funded by an EEA grant under project “Local Warming Website”, characterizing the historical climate over Portugal and projecting its future evolution with unprecedented detail using a state-of-the-art multi-model ensemble. The results were publicly released through a custom-tailored easy-access data portal (http://portaldoclima.pt). Subsequently, he worked as a junior researcher on land surface model development funded by F.C.T. project CONTROL, in a joint effort between IDL-FCUL, IPMA, European Centre for Medium-Range Weather Forecasting (ECMWF) and Météo-France. During this period, he completed short training period at Météo-France on the SURFEX modeling platform. Since December 2020 he works as an Assistant Researcher at IDL, funded by EEA grant project “National Roadmap for Adaptation for the Twenty-First Century” (RNA2100), being one of the project core CVs, and co-responsible for one work package. RNA2100 supports Portuguese public policy on climate change, assessing impacts and adaptation strategies at national to local levels under different future socioeconomic development scenarios, combining models and observations. The proponent has been an active member of IDL’s climate research group 1 (RG1), maintaining collaborations on regional and urban climate modeling, numerical modeling, and data assimilation, and in writing project funding proposals. He integrated research project SOLAR (funded by FCT) on Earth System Modelling of the Eastern Atlantic Region, and “CaMaFlood Integration” (funded by ECMWF) for implementing a Global River Hydrodynamics scheme into ECMWF’s land-surface model. He organizes RG1 seminar series, and contributes to student training as an advisor for BSc, MSc and PhD thesis: 5 successfully finished, and has 4 ongoing (including 2 focusing on the application of machine learning methods to climate science - one MSc thesis in collaboration FCUL’s computer science department, and the other as an external advisor for a PhD on theoretical physics from ETH Zurich in collaboration with Prof. Maciej Koch-Janusz). He is an active reviewer for top journals, including Science Advances, Earth System Dynamics, Journal of Hydrology amongst others. He has worked as an invited auxiliary professor at FCUL for the “numerical modeling” course between 2017 and 2019.
Identificação

Identificação pessoal

Nome completo
Miguel de Oliveiros Vieira de Albergaria e Castro Nogueira

Nomes de citação

  • Nogueira, Miguel

Identificadores de autor

Ciência ID
B214-4E2E-31CE
ORCID iD
0000-0003-4587-875X
Google Scholar ID
6x1AM0MAAAAJ&hl
Scopus Author Id
55855888600

Endereços de correio eletrónico

  • mdnogueira@fc.ul.pt (Profissional)

Domínios de atuação

  • Ciências Naturais - Ciências da Terra e do Ambiente - Investigação Climática

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Formação
Grau Classificação
2014/11/10
Concluído
PhD in Atmospheric Sciences (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal
"The dynamics of convective orographic precipitation: the transition to convection" (TESE/DISSERTAÇÃO)
Aprovado com distinção e louvor
2009/07/26
Concluído
MSc in Geophysical Sciences (Meteorology) (Mestrado integrado)
Especialização em Atmosphere
Universidade de Lisboa Faculdade de Ciências, Portugal
18
2007
Concluído
BSc in Meteorology, Oceanography, Geophysics (Licenciatura)
Universidade de Lisboa Faculdade de Ciências, Portugal
15
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2021/09/01 - Atual Investigador (Investigação) Universidade de Lisboa Instituto Geofísico do Infante Dom Luiz, Portugal
2020/12 - 2021/08/31 Investigador Auxiliar Convidado (carreira) (Investigação) Universidade de Lisboa Instituto Geofísico do Infante Dom Luiz, Portugal
2017/01 - 2020/12 Investigador (Investigação) Universidade de Lisboa Instituto Geofísico do Infante Dom Luiz, Portugal
2014/12 - 2016/12 Pós-doutorado (Investigação) Instituto Português do Mar e da Atmosfera, Portugal
2013/01 - 2014/08 Investigador (Investigação) Duke University, Estados Unidos

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2016/01/01 - 2019/07/31 Professor Auxiliar Convidado (Docente Universitário) Universidade de Lisboa, Portugal
2011 - 2012 Assistente Convidado (Docente Universitário) Universidade de Lisboa Faculdade de Ciências, Portugal

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2021/09/01 - Atual Climate Scientist Cervest, Lda, Reino Unido
Projetos

Projeto

Designação Financiadores
2021/01 - Atual EURO-CORDEX FPS: URBan environments and Regional Climate Change (URB-RCC)
Investigador
2020/12 - Atual NATIONAL ROADMAP FOR ADAPTATION XXI PORTUGUESE TERRITORIAL CLIMATE CHANGE VULNERABILITY ASSESSMENT FOR XXI CENTURY
Investigador
Universidade de Lisboa Instituto Dom Luiz, Portugal
EEA Grants
Em curso
2019/01 - Atual CONsTRaining land-atmosphere exchanges using earth Observations (CONTROL)
PTDC/CTA-MET/28946/2017
Investigador
Fundação para a Ciência e a Tecnologia
2016/01 - 2018/12 Earth System Modelling of the Eastern Atlantic Region (SOLAR)
PTDC/GEO-MET/7078/2014
Investigador
Universidade de Lisboa Instituto Geofísico do Infante Dom Luiz, Portugal
Fundação para a Ciência e a Tecnologia
2014 - 2016 AdaPT (Local Warming Website)
EEA Grants: Programme PT02
Bolseiro de Pós-Doutoramento
Instituto Português do Mar e da Atmosfera, Portugal

Universidade de Lisboa Instituto Geofísico do Infante Dom Luiz, Portugal
EEA Grants
Concluído
2012/03 - 2015/02 SMOG - Structure of Moist convection in high-resolution GNSS observations and models Fundação para a Ciência e a Tecnologia
2013 - 2014 Integrated Precipitation & Hydrology Experiment (IPHEX)
NNX13AH39G
Investigador
Duke University, Estados Unidos
NASA
Concluído
2009/10/01 - 2013/09/30 THE DYNAMICS OF CONVECTIVE OROGRAPHIC PRECIPITATION: THE TRANSITION TO EMBEDDED CELLULAR CONVECTION
SFRH/BD/61148/2009
Universidade de Lisboa Faculdade de Ciências, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2008/09 - 2009/08 AWARE - Amplification of Wind And Rain in coastal and topographic Environments
Bolseiro de Mestrado
Fundação para a Ciência e a Tecnologia

Outro

Designação Financiadores
2018/10 - 2019/10 CaMaFlood Integration
ECMWF/RFP/2018/280
Investigador
Universidade de Lisboa Instituto Dom Luiz, Portugal

European Centre for Medium Range Weather Forecasts, Reino Unido
European Centre for Medium Range Weather Forecasts
Concluído
Produções

Publicações

Artigo em revista
  1. Miguel Nogueira; Pedro M. M. Soares; Dutra, Emanuel; Hurduc, Alexandra; Ermida, Sofia; Johannsen, Frederico; LIMA, DANIELA. "Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using METEOSAT land surface temperature product". Geoscientific Model Development (2022):
    Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using METEOSAT land surface temperature product
  2. Daniela C. A. Lima; Pedro M. M. Soares; Miguel Nogueira; Alvaro Semedo. "Global coastal low-level wind jets revisited through the new ERA5 reanalysis". International Journal of Climatology (2021): https://doi.org/10.1002/joc.7482.
    10.1002/joc.7482
  3. Miguel Nogueira; Souhail Boussetta; Gianpaolo Balsamo; Clément Albergel; Isabel F. Trigo; Frederico Johannsen; Diego G. Miralles; Emanuel Dutra. "Upgrading Land-Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis". Journal of Geophysical Research: Atmospheres 126 15 (2021): https://doi.org/10.1029/2020JD034163.
    10.1029/2020JD034163
  4. P. M. A. Miranda; R. Tomé; L. Frois; M. Nogueira; J.M.R. Alves; V. Prior; R. Caldeira; E. Dutra. "Speed-up of the Madeira tip jets in the ERA5 climate highlights the decadal variability of the Atlantic subtropics". Quarterly Journal of the Royal Meteorological Society 147 734 (2021): 679-690. https://doi.org/10.1002/qj.3940.
    10.1002/qj.3940
  5. Pedro M M Soares; Daniela C A Lima; Miguel Nogueira. "Global offshore wind energy resources using the new ERA-5 reanalysis". Environmental Research Letters (2020): https://doi.org/10.1088/1748-9326/abb10d.
    10.1088/1748-9326/abb10d
  6. Nogueira, Miguel; Soares, Pedro MM; Lima, Daniela C.A.. "An integrated approach to project the future urban climate response: Changes to Lisbon's urban heat island and temperature extremes". Urban Climate 34 (2020): 100683..
    Acesso aberto • https://doi.org/10.1016/j.uclim.2020.100683
  7. Miguel Nogueira; Clément Albergel; Souhail Boussetta; Frederico Johannsen; Isabel F. Trigo; Sofia L. Ermida; João P. A. Martins; Emanuel Dutra. "Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia". Geoscientific Model Development 13 9 (2020): 3975-3993. https://doi.org/10.5194/gmd-13-3975-2020.
    10.5194/gmd-13-3975-2020
  8. Miguel Nogueira. "Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences". Journal of Hydrology 583 (2020): 124632-124632. https://doi.org/10.1016/j.jhydrol.2020.124632.
    10.1016/j.jhydrol.2020.124632
  9. Miguel Nogueira; Clément Albergel; Souhail Boussetta; Frederico Johannsen; Isabel F Trigo; Sofia L Ermida; João P A Martins; Emanuel Dutra. "Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia". Geoscientific Model Development Discussions (2020): https://doi.org/10.5194/gmd-2020-49.
    10.5194/gmd-2020-49
  10. Miguel Nogueira; Pedro M M Soares. "A surface modelling approach for attribution and disentanglement of the effects of global warming from urbanization in temperature extremes: application to Lisbon". Environmental Research Letters (2019): https://doi.org/10.1088/1748-9326/ab465f.
    10.1088/1748-9326/ab465f
  11. Johannsen; Ermida; Martins; Trigo; Nogueira; Dutra. "Cold Bias of ERA5 Summertime Daily Maximum Land Surface Temperature over Iberian Peninsula". Remote Sensing 11 21 (2019): 2570. http://dx.doi.org/10.3390/rs11212570.
    10.3390/rs11212570
  12. Nogueira, Miguel. "Multi-scale structure of tropical rainfall response to SST fluctuations". Climate Research (2019): http://dx.doi.org/10.3354/cr01566.
    10.3354/cr01566
  13. Miguel Nogueira. "The multi-scale structure of atmospheric energetic constraints on globally averaged precipitation". Earth System Dynamics 10 2 (2019): 219-232. https://doi.org/10.5194/esd-10-219-2019.
    10.5194/esd-10-219-2019
  14. Miguel Nogueira; Pedro M. M. Soares; Ricardo Tomé; Rita M. Cardoso. "High-resolution multi-model projections of onshore wind resources over Portugal under a changing climate". Theoretical and Applied Climatology 136 1-2 (2019): 347-362. https://doi.org/10.1007/s00704-018-2495-4.
    10.1007/s00704-018-2495-4
  15. P. M. A. Miranda; P. Mateus; G. Nico; J. Catalão; R. Tomé; M. Nogueira. "InSAR Meteorology: High-Resolution Geodetic Data Can Increase Atmospheric Predictability". Geophysical Research Letters 46 5 (2019): 2949-2955. https://doi.org/10.1029/2018GL081336.
    10.1029/2018GL081336
  16. Miguel Nogueira. "The sensitivity of the atmospheric branch of the global water cycle to temperature fluctuations at synoptic to decadal time-scales in different satellite- and model-based products". Climate Dynamics 52 1-2 (2019): 617-636. https://doi.org/10.1007/s00382-018-4153-z.
    10.1007/s00382-018-4153-z
  17. M. Nogueira. "Exploring the Links in Monthly to Decadal Variability of the Atmospheric Water Balance Over the Wettest Regions in ERA-20C". Journal of Geophysical Research: Atmospheres 122 20 (2017): 10,560-10,577. https://doi.org/10.1002/2017JD027012.
    10.1002/2017JD027012
  18. Miguel Nogueira; Francois G. Schmitt. "Exploring the link between multiscale entropy and fractal scaling behavior in near-surface wind". PLOS ONE (2017):
    10.1371/journal.pone.0173994
  19. M. Nogueira; A.P. Barros. "Transient stochastic downscaling of quantitative precipitation estimates for hydrological applications". Journal of Hydrology (2015): http://dx.doi.org/10.1016/j.jhydrol.2015.08.041.
    10.1016/j.jhydrol.2015.08.041
  20. Nogueira, M.; Barros, A. P.. "The nonconvective/convective structural transition in stochastic scaling of atmospheric fields". Journal of Geophysical Research-Atmospheres 119 24 (2014): 13771-13794. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000348460000011&KeyUID=WOS:000348460000011.
    10.1002/2014JD022548
  21. Nogueira, M.; Barros, A. P.; Miranda, P. M. A.. "Multifractal properties of embedded convective structures in orographic precipitation: toward subgrid-scale predictability". Nonlinear Processes in Geophysics 20 5 (2013): 605-620. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000326633200001&KeyUID=WOS:000326633200001.
    10.5194/npg-20-605-2013
Livro
  1. Barros, Ana; Nogueira, Miguel;. The Integrated Precipitation and Hydrology Experiment - Hydrologic Applications for the Southeast US (IPHEx-H4SE) Part III: High-Resolution Ensemble Rainfall Products. Duke University Libraries. 2014.
    10.7924/G8MW2F2W

Outros

Outra produção
  1. Multivariate Process-Based Evaluation of CMIP6 Historical Simulations Over the Tropical Oceans. 2021. Miguel Nogueira. https://doi.org/10.21203/rs.3.rs-458817/v1.
    10.21203/rs.3.rs-458817/v1
  2. Reply to the Reviewers Comments. 2020. Miguel Nogueira. https://doi.org/10.5194/gmd-2020-49-AC1.
    10.5194/gmd-2020-49-AC1
  3. On the added value of improving the spatial representation and seasonal variations of vegetation cover in land surface models for simulated land surface temperature. 2020. Miguel Nogueira; Clément Albergel; Souhail Boussetta; Frederico Johanssen; Emanuel Dutra. https://doi.org/10.5194/egusphere-egu2020-18110.
    10.5194/egusphere-egu2020-18110
  4. Sensitivity of the ECMWF Land surface model to vegetation and LU/LC maps. 2020. Souhail Boussetta; Gianpaolo Balsamo; Emanuel Arduini; Miguel Nogueira; Gabriele Arduini; Margarita Choulga; Nils Wedi; Joaquin Munoz Sabater. https://doi.org/10.5194/egusphere-egu2020-22238.
    10.5194/egusphere-egu2020-22238
  5. Supplementary material to "Role of vegetation in representing land surface temperature in the CHTESSEL (CY45R1) and SURFEX-ISBA (v8.1) land surface models: a case study over Iberia". 2020. Miguel Nogueira; Clément Albergel; Souhail Boussetta; Frederico Johannsen; Isabel F Trigo; Sofia L Ermida; João P A Martins; Emanuel Dutra. https://doi.org/10.5194/gmd-2020-49-supplement.
    10.5194/gmd-2020-49-supplement
  6. Cold Bias of ERA5 Summertime Daily Maximum Land Surface Temperature Over Iberian Peninsula. 2019. Frederico Johannsen; Sofia Ermida; João Martins; Isabel F. Trigo; Miguel Nogueira; Emanuel Dutra. https://doi.org/10.20944/preprints201909.0268.v1.
    10.20944/preprints201909.0268.v1
  7. An emergent transition time-scale in the atmosphere and its implications to global-averaged precipitation control mechanisms, time-series reconstruction and stochastic downscaling. 2018. Miguel Nogueira. https://doi.org/10.5194/esd-2018-70.
    10.5194/esd-2018-70
Atividades

Apresentação oral de trabalho

Título da apresentação Nome do evento
Anfitrião (Local do evento)
2021/02 Evaluation of LST in EC-Earth3-Veg (& ECMWF model): Use of LSA-SAF and role of vegetation. 2021 EC-EARTH meeting
2020/11 The water cycle response across scales CVAS (Climate Variability Across Scale) 2020 workgroup sessions (online).
2020/04 On the added value of improving the spatial representation and seasonal variations of vegetation cover in land surface models for simulated land surface temperature EGU 2020, Vienna, Austria
2020/04 Sensitivity of the ECMWF Land surface model to vegetation and LU/LC maps EGU 2020, Vienna, Austria
2020 Clima, Cidades e Uso do Solo: Modelar a Mudança. Encontro Nacional sobre Investigação em Alterações Climáticas, Lisboa, Portugal
2020 ERA5 reanalysis cold bias of maximum land surface temperature in Iberia: The role of vegetation. 3rd International Surface Working Group (ISWG-3), Montreal, Canada
2019 An emergent transition time-scale in the atmosphere and its implications to the global and regional water cycle. EGU 2019 (Vienna, Austria)
2019 InSAR water vapor data may have a major impact in the skill of weather forecasts. EGU 2019 (Vienna, Austria)
2018 The Slow Variability of Wind speed over the Madeira Island: Large-Scale Forcings and Local Response. APMG 2018 (Cascais, Portugal)
2018 Improving weather forecasts with high resolution water vapor from InSAR. Workshop “A previsão numérica do tempo em Portugal: estado da arte e novos desafios”
IPMA
2018 Filling the resolution gap between global models and applications: dynamical and/or stochastic downscaling. Workshop “A previsão numérica do tempo em Portugal: estado da arte e novos desafios”
IPMA (Lisbon, Portugal)
2017 P.M.M. Soares, M. Nogueira, D.C.A. Lima, R. M. Cardoso, M.L. Nascimento, A. Semedo: Western Iberian Wind Resources in a Changing Climate. Presentation at APMG 2017 (Lisbon, Portugal)
2017 P. Viterbo, S. Gomes, R. Deus, M. Nogueira, J.M. Miranda, S. Antunes, A. Silva, M. Pazian, P. Miranda: O Portal do Clima. Presentation at APMG 2017 (Lisbon, Portugal)
2016 S. Gomes, R. Deus, M. Nogueira, P. Viterbo, M. Miranda, S. Antunes, A. Silva, and P. M. Miranda: The Portuguese Climate Portal. Poster presentation at EGU 2016 (Vienna, Austria)
2015 M. Nogueira and Miranda, P. M.: Stochastic ensemble forecasts of precipitation and wind in storm events: dynamical downscaling and stochastic full-field fractal weather generators . Oral presentation at IUGG 2015. (Prague, Czech Republic).
2014 Miguel Nogueira, Ana P. Barros, and Pedro M. A. Miranda: Metrics to describe NWP scaling behavior of convective rainfall in mountainous regions: parameterization dependency, zero- value problem, and downscaling applications in the Southern Appalachians. Poster presentation at AMS 2014. (Atlanta, USA).
2013 Miguel Nogueira, Ana P. Barros, Pedro M. A. Miranda: Investigating the ability of NWP model to reproduce the observed multisaling properties of rain and reflectivity fields and its potential for downscaling applications. Poster presentation at 11th International Precipitation Conference (IPC) 2013. (Ede-Wageningen, Netherlands).
2013 A.P. Barros, S. Bhusan, J. Erlingis, M. Nogueira, X. Sun, L. Lowman: Emergent Pathways of Predictability – The Diurnal Cycle and the Role of Landform and Landcover on the Organization of Moist Processes at Multiple Scales. Presentation at Workshop on Land and Surface Modeling in Support of NWP Sub-Seasonal Climate Prediction, 2013. (Virginia, USA).
2012 M. Nogueira, P.M.A. Miranda, R. Tomé, Ana P. Barros: Multifractal properties of numerically simulated cloud and wind fields: a downscaling application. Oral presentation at 7ª Assembleia Hispano Portuguesa de Geodesia e Geofísica (7AHPGG) 2012. (San Sebastian, Spain).
2012 M. Nogueira, A.P. Barros, P.M.A. Miranda: Stochastic downscaling of numerically simulated spatial rain and cloud fields using a trasient multifractal approach. Oral presentation at EGU 2012. (Vienna, Austria).
2012 M. Nogueira, A.P. Barros, P.M.A. Miranda: Stochastic downscaling of numerically simulated spatial rain and cloud fields using a trasient multifractal approach. Oral presentation at 3rd workshop: “Dynamical Systems Applied to Biology and Natural Sciences”, 2012, CMAF Lisbon University. (Lisbon, Portugal).
2011 M. Nogueira, A.P. Barros, P.M. A. Miranda: Investigating linkages between atmospheric and terrain properties and spatial anisotropic multiscaling in orographic convective precipitation. Poster at AGU 2011 Fall Meeting. (San Francisco, U.S.A).
2011 M. Nogueira, A.P. Barros, P.M. A. Miranda: Multiscaling properties of embedded convective structures in orographic precipitation: toward subgrid-scale predictability. Oral presentation at EGU 2011. (Vienna, Austria).
2011 M. Nogueira, A.P. Barros, P.M. A. Miranda: Elucidating the Spatial Scaling Behavior of Cloud Embedded Convection and Rainfall Patterns Using Idealized WRF Simulations. Oral presentation at 7º Simpósio de Meteorologia e Geofísica da APMG 2011. (Setúbal, Portugal).
2010 M. Nogueira, A.P. Barros, P.M.A. Miranda: Elucidating the Spatial Scaling Behavior of Cloud Embedded Convection and Rainfall Patterns in Complex Terrain Using Idealized WRF Simulations. Poster at AGU 2010 Fall Meeting (San Francisco, U.S.A.).
2009 Miguel Nogueira, Miguel A. C. Teixeira, Pedro M. A. Miranda: Estudo de brisas e depressões térmicas: aplicação à Península Ibérica. In proceedings do 6º Simpósio de Meteorologia e Geofísica da APMG 2009. (Almada, Portugal) Comunicações em painel ("poster")

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2021/01 - Atual Assessment of high-resolution simulations of urban climate over Europe
Orientador
Meteorology, Oceanography and Geophysics (Licenciatura/Bacharelato)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2021 - Atual The regional-scale response of mid-latitude precipitation and its extremes to climate change.
Orientador
Geophysical Sciences (Atmosphere) (Doutoramento)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2020/10 - Atual Cities future climate: generating improved climate multi-model ensembles using machine learning.
Orientador
Data Science (Mestrado)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2018/10 - 2019/07 Sensitivity of Lisbon Heat Island to Land-Use changes
Orientador
Environmental and Energy Engineering (Licenciatura/Bacharelato)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2018/10 - 2019/07 High-Resolution Simulation of Summer Convective Organization over Portugal.
Orientador
Geophysical Sciences (Meteorology) (Mestrado)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2018/09 - 2019/07 Improved Parameterization of the Venus Upper Atmosphere Thermal Structure and its Implications to Large Scale Circulations.
Orientador
Meteorology, Oceanography and Geophysics (Licenciatura/Bacharelato)
Universidade de Lisboa Instituto Dom Luiz, Portugal
2017 - 2017 Study of interannual variability of the Iberian thermal low in long high resolution simulations
Orientador
BSc in Meteorology, Oceanography and Geophysics. (Licenciatura/Bacharelato)
Universidade de Lisboa Faculdade de Ciências, Portugal
2016 - 2016 Quantify the uncertainties in climate projections using risk analysis techniques
Orientador
BSc in Meteorology, Oceanography and Geophysics
Universidade de Lisboa Faculdade de Ciências, Portugal

Participação em evento

Descrição da atividade
Tipo de evento
Nome do evento
Instituição / Organização
2019 - 2019 SURFEX training course
Météo France, França

Júri de grau académico

Tema
Tipo de participação
Nome do candidato (Tipo de grau)
Instituição / Organização
2019/03 The Benguela Coastal Low-Level Jet in a Changing Climate
Arguente
Daniela C A Lima (Doutoramento)
Universidade de Lisboa Faculdade de Ciências, Portugal

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2017/01/01 - 2019/07/31 Numerical Modelling (Licenciatura)
2011 - 2012 Teaching assistant for the “Numerical Modeling” course (Licenciatura) Universidade de Lisboa Faculdade de Ciências, Portugal
Distinções

Outra distinção

2009 Individual PhD grant awarded by F.C.T.