Pedro J. Belé Mateus
Profile
Research Group: RG1 – Climate variability processes and extremes
Position at IDL: Researcher
Job: Junior Researcher/Post-Doctoral Researcher
Email: pjmateus@fc.ul.pt
Telephone Number: (351) 96-757-8667
Room: 8.1.52
Academic Degree and field of specialization:
I graduated in Geographical Engineering at the Faculty of Sciences of the University of Lisbon (FCUL) in 2008 followed by a Ph.D. in 2013 in Geophysics and Geoinformation at the University of Lisbon.
Scientific Informations
ORCID: http://orcid.org/0000-0001-8027-2142
SCOPUS ID: https://www.scopus.com/authid/detail.uri?authorId=56528087600
Researcher ID: http://www.researcherid.com/rid/C-6317-2016
Research Gate: https://www.researchgate.net/profile/P_Mateus
Google Scholar: https://scholar.google.com/citations?hl=pt-PT&user=FQWSliwAAAAJ
Scientific Interests
Main Interests:
I am focused on creating methods for synergies between remote sensing data and atmospheric models. My main research interests include statistical signal processing, synthetic aperture radar processing (InSAR), Global Navigation Satellite System (GNSS) and atmospheric physics. I’m also working as an invited professor for the Numerical Laboratory and Geographical Information Sciences curses at FCUL and supervised student thesis.
Top 10 Publications:
P. Mateus, J. Catalão, G. Nico and P. Benevides, “Mapping Precipitable Water Vapor Time Series From Sentinel-1 Interferometric SAR,” in IEEE Transactions on Geoscience and Remote Sensing.
doi: 10.1109/TGRS.2019.2946077
Miranda, P. M. A., Mateus, P., Nico, G., Catalão, J., Tomé, R., & Nogueira, M. (2019). InSAR meteorology: High‐resolution geodetic data can increase atmospheric predictability. Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL081336
Mateus, P., Miranda, P. M. A., Nico, G., Catalão, J., Pinto, P., & Tomé, R. (2018). Assimilating InSAR maps of water vapor to improve heavy rainfall forecasts: A case study with two successive storms. Journal of Geophysical Research: Atmospheres, 123, 3341–3355. https://doi.org/10.1002/2017JD027472
Mateus, P., J. Catalão and G. Nico, “Sentinel-1 Interferometric SAR Mapping of Precipitable Water Vapor Over a Country-Spanning Area,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 5, pp. 2993-2999, May 2017. doi: 10.1109/TGRS.2017.2658342
Mateus, P., Laura S. Borma, Ricardo D. da Silva, Giovanni Nico, and João Catalão. “Assessment of two techniques to merge ground-based and TRMM rainfall measurements: a case study about Brazilian Amazon Rainforest”. GIScience & Remote Sensing. Vol. 53, Iss. 6, 2016. doi:10.1109/TGRS.2017.2658342
Mateus, P., R. Tomé, G. Nico and J. Catalão, “Three-Dimensional Variational Assimilation of InSAR PWV Using the WRFDA Model,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 12, pp. 7323-7330, Dec. 2016. doi: 10.1109/TGRS.2016.2599219
Mateus, P., G. Nico, and J. Catalão, “Uncertainty Assessment of the Estimated Atmospheric Delay Obtained by a Numerical Weather Model (NMW),” in IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 12, pp. 6710-6717, Dec. 2015. doi: 10.1109/TGRS.2015.2446758
Mateus, P., G. Nico, and J. Catalão, “Maps of PWV Temporal Changes by SAR Interferometry: A Study on the Properties of Atmosphere’s Temperature Profiles,” in IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 12, pp. 2065-2069, Dec. 2014. doi: 10.1109/LGRS.2014.2318993
Mateus, P., G. Nico, R. Tomé, J. Catalão & P.M.A. Miranda. “Experimental study on the atmospheric delay based on GPS, SAR interferometry and numerical weather model data”. Transactions on Geoscience and Remote Sensing, 51(1):6–11, 2013. doi:10.1109/TGRS.2012.2200901
Mateus, P., G. Nico & J. Catalão. “Can spaceborne SAR interferometry be used to study the temporal evolution of PWV?”. Atmospheric Research, 119:70–80, 2013. doi:10.1016/j.atmosres.2011.10.002
Projects (10 most relevant):
PTDC/CTE-SPA/117666/2010
Spaceborne BIStatic synthetic aperture radar and Compact Active transponder for Earth monitoring (SBISCAM). Projeto liderado pelo Professor Doutor João Carlos da Costa Catalão Fernandes, Fundação da Faculdade de Ciências (FFC/FC/UL).
POCI/CTE-GIN/57530/2004
Kinematics and Rheological Modelling of the Nubian-Eurasian plate boundary in the Azores (KARMA). Projeto liderado pelo Professor Doutor João Carlos da Costa Catalão Fernandes, Fundação da Faculdade de Ciências (FFC/FC/UL).
Conferences (last 15 presentations):
Pedro Mateus, Giovanni Nico, João Catalão and Pedro Miranda, “How to quantify the impact of assimilating InSAR maps of PWV in a Numerical Weather Prediction Model?”. European Space Agency’s 2019 Living Planet Symposium, 13–17 May 2019 in Milan, Italy.
Pedro Mateus, Giovanni Nico, and João Catalão, “On the impact of assimilating water vapor maps from a Geosynchronous SAR mission in a high-resolution Numerical Weather Prediction Model”. European Space Agency’s 2019 Living Planet Symposium, 13–17 May 2019 in Milan, Italy.
Pedro Miranda, Pedro Mateus, João Catalão, Giovanni Nico, and Miguel Nogueira, “InSAR water vapor data may have a major impact on the skill of weather forecasts”. EGU General Assembly 2019, Vienna (Austria) on 7–12 April 2019.
Nico, G., Mateus, P., Catalão, J., Benevides, P., Conde, V., “Examples of InSAR PWV maps and applications: Present and Future.“. In the InSAR Meteorology workshop, Miami March 1&2, 2018.
Mateus, P., G. Nico, and J. Catalão, “Assimilation of InSAR propagation delay maps in high-resolution numerical weather model: imaging of water vapor structures in the atmosphere “. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018.
Mateus, P., G. Nico, J. Catalão and Pedro M. A. Miranda, “Assimilation of InSAR-derived PWV maps exhibit potential for atmospheric convective storm characterization”. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018.
Pedro Mateus, Giovanni Nico, João Catalão & Pedro Miranda, “Assimilação de mapas de água precipitável derivados de interferogramas revelam potencial para caracterização de eventos extremos de precipitação”. IX Conferência Nacional de Cartografia e Geodesia (IX CNCG), 25-26 de outubro de 2018.
Mateus, P., Nico, G. and Catalão, J. How a Numerical Weather Model can digest Precipitable Water Vapor (PWV) maps generated by SAR interferometry? In Proc. of ‘Fringe 2017’, 2017.
Mateus, P., G. Nico, and J. Catalão. Assimilation of Sentinel-1 estimates of Precipitable Water Vapor (PWV) into a Numerical Weather Model for a more accurate forecast of extreme weather events. In Geophysical Research Abstracts, Vol. 19, EGU2017, EGU General Assembly 2017.
Nico, G. Conde, V. Mateus, P., Catalão, J. and Tomé, R. Mitigation Of Atmospheric Phase Delay in SAR Interferograms of Norcia’s Earthquake. In Proc. of ‘Fringe 2017’, 2017.
Nico, G., Mateus, P., Alshawaf, F. Heublein, M. and Catalão, J. Assimilation Of PS-INSAR Precipitable Water Vapor (PWV) Maps in WRF Model: A Statistical Analysis of The Assimilation results. In Proc. of ‘Fringe 2017’, 2017.
Mateus, P., G. Nico, J. Catalão, and R, Tomé. Precipitable water vapor (PWV) estimated from interferometric maps: a 3D-Variational data assimilation experiment using WRFDA. In Living Planet Symposium, Prague, the Czech Republic from 9-13 May 2016.
Catalão, J., Mateus, P. & G. Nico. On the possibility of using SAR interferometry to map the atmosphere precipitable water vapor. Copernicus User Awareness and Training Event, Lisbon, Portugal, 13th and 14th February 2014.
Borma, L. S., S. Roballo, P. Silva & Mateus, P. Local and global threats to the water resources in the Amazon basin floodplain. International Conference on the Status and Future of the World’s Large Rivers, 21-25. July 2014 in Manaus, Amazonas, Brazil.
Mateus, P., Nico, G. & Catalão, J. Mapping the Atmosphere Precipitable Water Vapor: The Experience with ENVISAT-ASAR and TerraSAR-X. ESA-Living Planet Symposium 2013, Edinburgh, UK.