| A call for new approaches to quantifying biases in observations of sea surface temperature EC Kent, JJ Kennedy, TM Smith, S Hirahara, B Huang, A Kaplan, ... Bulletin of the American Meteorological Society 98 (8), 1601-1616, 2017 | 116 | 2017 |
| Climatological diurnal variability in sea surface temperature characterized from drifting buoy data S Morak‐Bozzo, CJ Merchant, EC Kent, DI Berry, G Carella Geoscience Data Journal 3 (1), 20-28, 2016 | 37 | 2016 |
| A probabilistic approach to ship voyage reconstruction in ICOADS G Carella, EC Kent, DI Berry International Journal of Climatology 37 (5), 2233-2247, 2017 | 28 | 2017 |
| Estimating sea surface temperature measurement methods using characteristic differences in the diurnal cycle G Carella, JJ Kennedy, DI Berry, S Hirahara, CJ Merchant, ... Geophysical Research Letters 45 (1), 363-371, 2018 | 27 | 2018 |
| Measurements and models of the temperature change of water samples in sea‐surface temperature buckets G Carella, AKR Morris, RW Pascal, MJ Yelland, DI Berry, S Morak‐Bozzo, ... Quarterly Journal of the Royal Meteorological Society 143 (706), 2198-2209, 2017 | 8 | 2017 |
| A Bayesian spatial analysis of the heterogeneity in human mobility changes during the first wave of the COVID-19 epidemic in the United States G Carella, J Perez Trufero, M Álvarez, J Mateu The American Statistician 76 (1), 64-72, 2022 | 6 | 2022 |
| Enhancing geophysical flow machine learning performance via scale separation D Faranda, M Vrac, P Yiou, FME Pons, A Hamid, G Carella, ... Nonlinear Processes in Geophysics 28 (3), 423-443, 2021 | 4* | 2021 |
| Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds G Carella, M Vrac, H Brogniez, P Yiou, H Chepfer Earth System Science Data 12 (1), 1-20, 2020 | 4 | 2020 |
| Boosting performance in machine learning of turbulent and geophysical flows via scale separation D Faranda, M Vrac, P Yiou, F Pons, A Hamid, G Carella, C Langue, ... arXiv: hal-02337839v2, 2019 | 4 | 2019 |
| A Bayesian Spatial Analysis of the Association of Socioeconomic Inequality, Epidemiological Conditions and Human Mobility Changes During the US COVID-19 Epidemic G Carella, J Pérez Trufero, M Álvarez, J Mateu THELANCETID-D-20-05952, The American Statistician, 11 Aug 2021, https://www …, 2020 | 1 | 2020 |
| New estimates of uncertainty in the marine surface temperature record G Carella University of Southampton, 2017 | 1 | 2017 |
| Models for the adjustment of observations of sea surface temperature made using buckets EC Kent, DI Berry, G Carella, CJ Merchant, JC Chiu in preparation, 2017 | 1 | 2017 |
| Deep learning-based downscaling of seasonal forecasts over the Iberian Peninsula CA Gómez-Gonzalez, L Palma Garcia, L Lledó, R Marcos, ... EGU General Assembly Conference Abstracts, EGU21-12253, 2021 | | 2021 |
| Estimating the air-sea gas transfer velocity from a statistical reconstruction of ocean turbulence observations G Carella, L Esters, M Galí Tàpias, C Gomez Gonzalez, R Bernardello EGU General Assembly Conference Abstracts, EGU21-10045, 2021 | | 2021 |
| Magnify Your Population: Statistical Downscaling to Augment the Spatial Resolution of Socioeconomic Census Data G Carella, A Eschbacher, D Fan, M Álvarez, Á Arredondo, AP Hall, ... arXiv preprint arXiv:2006.13152, 2020 | | 2020 |
| Can we predict weather and climate extremes using machine learning techniques? A Hamid, G Carella, S Thao, P Yiou, M Vrac, V Gautard, D Faranda Geophysical Research Abstracts 21, 2019 | | 2019 |
| Supplementary Material: Boosting performance in Machine Learning of Turbulent and Geophysical Flows via scale separation D Faranda, M Vrac, P Yiou, FME Pons, A Hamid, G Carella, CGN Langue, ... | | |
| A call for new approaches to quantifying biases in observations of sea-surface temperature: Supplemental material EC Kent, JJ Kennedy, TM Smith, S Hirahara, B Huang, A Kaplan, ... | | |
