| Downscaling RCM precipitation to the station scale using statistical transformations–a comparison of methods L Gudmundsson, JB Bremnes, JE Haugen, T Engen-Skaugen Hydrology and Earth System Sciences 16 (9), 3383-3390, 2012 | 839 | 2012 |
| Probabilistic wind power forecasts using local quantile regression JB Bremnes Wind Energy: An International Journal for Progress and Applications in Wind …, 2004 | 420 | 2004 |
| Statistical postprocessing for weather forecasts: Review, challenges, and avenues in a big data world S Vannitsem, JB Bremnes, J Demaeyer, GR Evans, J Flowerdew, S Hemri, ... Bulletin of the American Meteorological Society 102 (3), E681-E699, 2021 | 223 | 2021 |
| Forecasting for dynamic line rating A Michiorri, HM Nguyen, S Alessandrini, JB Bremnes, S Dierer, E Ferrero, ... Renewable and sustainable energy reviews 52, 1713-1730, 2015 | 195 | 2015 |
| Probabilistic forecasts of precipitation in terms of quantiles using NWP model output JB Bremnes Monthly Weather Review 132 (1), 338-347, 2004 | 184 | 2004 |
| A comparison of a few statistical models for making quantile wind power forecasts JB Bremnes Wind Energy: An International Journal for Progress and Applications in Wind …, 2006 | 138 | 2006 |
| The growth of the human embryo. A longitudinal biometric assessment from 7 to 12 weeks of gestation HG Blaas, SH Eik‐Nes, JB Bremnes Ultrasound in Obstetrics and Gynecology: The Official Journal of the …, 1998 | 95 | 1998 |
| Ensemble postprocessing using quantile function regression based on neural networks and Bernstein polynomials JB Bremnes Monthly Weather Review 148 (1), 403-414, 2020 | 73 | 2020 |
| Evaluation of ‘GLAMEPS’—a proposed multimodel EPS for short range forecasting T Iversen, A Deckmyn, C Santos, KAI Sattler, JBØR Bremnes, ... Tellus A: Dynamic Meteorology and Oceanography 63 (3), 513-530, 2011 | 65 | 2011 |
| Probabilistic visibility forecasting using neural networks JB Bremnes, SC Michaelides Fog and Boundary Layer Clouds: Fog Visibility and Forecasting, 1365-1381, 2007 | 46 | 2007 |
| Constrained quantile regression splines for ensemble postprocessing JB Bremnes Monthly Weather Review 147 (5), 1769-1780, 2019 | 27 | 2019 |
| Short-range probabilistic forecasts from the Norwegian limited-area EPS: Long-term validation and a polar low study T Aspelien, T Iversen, JBØR Bremnes, IL Frogner Tellus A: Dynamic Meteorology and Oceanography 63 (3), 564-584, 2011 | 24 | 2011 |
| Bayesian model averaging for wind speed ensemble forecasts using wind speed and direction SS Eide, JB Bremnes, I Steinsland Weather and Forecasting 32 (6), 2217-2227, 2017 | 23 | 2017 |
| Improved calibration of precipitation forecasts using ensemble techniques. Part 2: Statistical calibration methods. met JB Bremnes no research report 04, 2007 | 19 | 2007 |
| Probabilistic wind power forecasts by means of statistical model JB Bremnes Proceedings of the IEA R&D Wind Annex XI Joint Action Symposium on Wind …, 2002 | 18 | 2002 |
| Embryonic growth. A longitudinal biometric ultrasound study HG Blaas, SH Eik-Nes, JB Bremnes Ultrasound Obstet Gynecol 12 (5), 346-354, 1998 | 16 | 1998 |
| Ensemble prediction with different spatial resolutions for the 2014 Sochi Winter Olympic Games: The effects of calibration and multimodel approaches IL Frogner, T Nipen, A Singleton, JB Bremnes, O Vignes Weather and Forecasting 31 (6), 1833-1851, 2016 | 15 | 2016 |
| Probabilistic forecasts for daily power production JB Bremnes, F Villanger, KV AS Proceedings of the Global Wind Power Conference, Paris (FR), 2002 | 14 | 2002 |
| Improved calibration of precipitation forecasts using ensemble techniques JB Bremnes In practice 10, 5, 2007 | 8 | 2007 |
| Do regional weather models contribute to better wind power forecasts JB Bremnes, G Giebel The Norwegian Meteorological Institute, 2017 | 5 | 2017 |
