| 2MASS J18082002− 5104378: The brightest (V= 11.9) ultra metal-poor star J Meléndez, VM Placco, M Tucci-Maia, I Ramírez, TS Li, G Perez Astronomy & Astrophysics 585, L5, 2016 | 24 | 2016 |
| Long‐term study of the occurrence and time of passage of sea breeze in São Paulo, 1960–2009 GMP Perez, MAF Silva Dias International Journal of Climatology 37 (S1), 1210-1220, 2017 | 17 | 2017 |
| Fine scale surface climate in complex terrain using machine learning TC Martin, H Rocha, GMP Perez International Journal of Climatology, 2020 | 8 | 2020 |
| Atmospheric convergence zones stemming from large-scale mixing GMP Perez, PL Vidale, NP Klingaman, T Martin Weather and Climate Dynamics 2 (2), 475-488, 2021 | 4 | 2021 |
| Improving the quantitative precipitation forecast: a deep learning approach GMP Perez, MAF Silva Dias Departamento de Ciências Atmosféricas, Universidade de São Paulo, 2018 | 3 | 2018 |
| Using a Synoptic-scale Mixing Diagnostic to Explain Global Precipitation Variability from Weekly to Interannual Timescales GMP Perez, PL Vidale, H Dacre, JL García-Franco Journal of Climate, 1-41, 2022 | 2 | 2022 |
| Exploring the short-term role of particulate matter in the COVID-19 outbreak in USA cities LY Kamigauti, GMP Perez, CE Souto-Oliveira, E Cowdery, PHN Saldiva, ... medRxiv, 2021 | 1 | 2021 |
| What is the contribution of convergence zones to global precipitation? assessing observations and climate models biases GMP Perez, PL Vidale, H Dacre, TCM Martin Journal of Geophysical Research: Atmospheres 129 (9), e2023JD039635, 2024 | | 2024 |
| Data-driven discovery of mechanisms underlying present and near-future precipitation changes and variability in Brazil MTA Marques, ML Kovalski, GMP Perez, TCM Martin, ELSY Barbosa, ... EGUsphere 2024, 1-14, 2024 | | 2024 |
| Enhancing spatial inference of air pollution using machine learning techniques with low-cost monitors in data-limited scenarios LY Kamigauti, GMP Perez, TCM Martin, M de Fatima Andrade, P Kumar Environmental science: atmospheres, 2024 | | 2024 |
| A global climatology of the kinematical skeletons organising subtropical and tropical convergence zones GMP Perez, PL Vidale, H Dacre, J Garcia-Franco EGU22, 2022 | | 2022 |
| Causal relationships between particulate matter and COVID-19 cases in USA cities LY Kamigauti, GMP Perez, M de Fatima Andrade EMS2021, 2021 | | 2021 |
| Exploring the short-term role of particulate matter in the COVID-19 outbreak in USA cities (preprint) LY Kamigauti, GMP Perez, CE Souto-Oliveira, E Cowdery, PHN Saldiva, ... | | 2021 |
| Atmospheric convergence zones stemming from large-scale mixing G MP Perez, PL Vidale, NP Klingaman, T CM Martin Weather and Climate Dynamics Discussions, 1-22, 2020 | | 2020 |
| Exploring the role of particulate matter as a carrier of SARS-CoV-2 in USA cities LY Kamigauti, GMP Perez, C Souto-Oliveira, EB Cowdery, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Fine-scale surface climate data with deep learning TCM Martin, HR Rocha, K Brauman, M Flörke, GMP Perez, ... 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| A feature extraction and sequence prediction framework for N-Dimensional data structures: an application for subseasonal rainfall and streamflow forecast. TCM Martin, GMP Perez, HR Rocha 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| A Lagrangian characterization of convergence zones in South America GMP Perez, PL Vidale, NP Klingaman 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Forecast of Extreme Precipitation Events in São Paulo using Neural Networks GMP Perez, MAF da Silva Dias | | 2016 |
Pier Luigi VidaleWillis Professor of Climate System Science and Climate Hazards, University of ReadingVerified email at reading.ac.uk
