| Calibrated ensemble forecasts using quantile regression forests and ensemble model output statistics M Taillardat, O Mestre, M Zamo, P Naveau Monthly Weather Review 144 (6), 2375-2393, 2016 | 224 | 2016 |
| A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production M Zamo, O Mestre, P Arbogast, O Pannekoucke Solar Energy 105, 792-803, 2014 | 205 | 2014 |
| A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production. Part II: Probabilistic forecast of daily production M Zamo, O Mestre, P Arbogast, O Pannekoucke Solar Energy 105, 804-816, 2014 | 132 | 2014 |
| Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts M Zamo, P Naveau Mathematical Geosciences 50 (2), 209-234, 2018 | 114 | 2018 |
| Improved gridded wind speed forecasts by statistical postprocessing of numerical models with block regression M Zamo, L Bel, O Mestre, J Stein Weather and Forecasting 31 (6), 1929-1945, 2016 | 31 | 2016 |
| ARPEGE Cloud Cover Forecast Postprocessing with Convolutional Neural Network F Dupuy, O Mestre, M Serrurier, VK Burdá, M Zamo, ... Weather and Forecasting 36 (2), 567-586, 2021 | 27 | 2021 |
| Sequential aggregation of probabilistic forecasts—Application to wind speed ensemble forecasts M Zamo, L Bel, O Mestre Journal of the Royal Statistical Society: Series C (Applied Statistics) 70 …, 2021 | 18 | 2021 |
| Calibrated ensemble forecasts of the height of new snow using quantile regression forests and Ensemble Model Output Statistics G Evin, M Lafaysse, M Taillardat, M Zamo Nonlinear Processes in Geophysics 28 (3), 467-480, 2021 | 11 | 2021 |
| Statistical post-processing of deterministic and ensemble wind speed forecasts on a grid M Zamo Université Paris-Saclay (ComUE), 2016 | 11 | 2016 |
| Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts. Math. Geosci. 50, 209–234 M Zamo, P Naveau Discussion started 21, 2018 | 9 | 2018 |
| NetCDF: Performance and Storage Optimization of Meteorological Data V Kivachuk Burdá, M Zamo EGU General Assembly Conference Abstracts, 21549, 2020 | 3 | 2020 |
| Calibration of solar radiation ensemble forecasts using convolutional neural network F Dupuy, YS Lu, G Good, M Zamo EGU General Assembly Conference Abstracts, EGU21-7359, 2021 | 2 | 2021 |
| Surrogate Models for Rainfall Nowcasting NC Cabrera-Gutiérrez, H Godé, JC Jouhaud, MC Bakkay, VK Burdá, ... arXiv preprint arXiv:2006.14515, 2020 | | 2020 |
| Surrogate Models for Rainfall Nowcasting N Citlali Cabrera-Gutiérrez, H Godé, JC Jouhaud, M Chafik Bakkay, ... arXiv e-prints, arXiv: 2006.14515, 2020 | | 2020 |
| Impact of the statistical method, training dataset, and spatial scale of post-processing to adjust ensemble forecasts of the height of new snow N Jari-Pekka, M Lafaysse, G Evin, M Vernay, J Bellier, B Joly, M Taillardat, ... EGU General Assembly Conference Abstracts, 17465, 2020 | | 2020 |
| NetCDF: Performance and Storage Optimization of Meteorological Data VK Burdá, M Zamo EGU2020, 2020 | | 2020 |
| Improved gridded wind forecasts with statistical post-processing of numerical models with functional and/or block regressions M Zamo, L Bel, O Mestre EGU General Assembly Conference Abstracts, 4174, 2015 | | 2015 |
| Using the flatness package, illustrated with weather ensemble forecasts M Zamo | | |
| Publication: EGU General Assembly Conference Abstracts Pub Date: April 2018 F Varino, J Berndt, M Taillardat, M Zamo, O Mestre, P Arbogast, H Elbern | | |
