Advancing polar prediction capabilities on daily to seasonal time scales T Jung, ND Gordon, P Bauer, DH Bromwich, M Chevallier, JJ Day, ... Bulletin of the American Meteorological Society 97 (9), 1631-1647, 2016 | 269 | 2016 |
The BRIDGE HadCM3 family of climate models: HadCM3@ Bristol v1. 0 PJ Valdes, E Armstrong, MPS Badger, CD Bradshaw, F Bragg, M Crucifix, ... Geoscientific Model Development 10 (10), 3715-3743, 2017 | 242 | 2017 |
A review on Arctic sea‐ice predictability and prediction on seasonal to decadal time‐scales V Guemas, E Blanchard‐Wrigglesworth, M Chevallier, JJ Day, M Déqué, ... Quarterly Journal of the Royal Meteorological Society 142 (695), 546-561, 2016 | 222 | 2016 |
Sources of multi-decadal variability in Arctic sea ice extent JJ Day, JC Hargreaves, JD Annan, A Abe-Ouchi Environmental Research Letters 7 (3), 034011, 2012 | 187 | 2012 |
Will Arctic sea ice thickness initialization improve seasonal forecast skill? JJ Day, E Hawkins, S Tietsche Geophysical Research Letters 41 (21), 7566-7575, 2014 | 160 | 2014 |
Pan-Arctic and regional sea ice predictability: Initialization month dependence JJ Day, S Tietsche, E Hawkins Journal of Climate 27 (12), 4371-4390, 2014 | 142 | 2014 |
Seasonal to interannual Arctic sea ice predictability in current global climate models S Tietsche, JJ Day, V Guemas, WJ Hurlin, SPE Keeley, D Matei, ... Geophysical Research Letters 41 (3), 1035-1043, 2014 | 129 | 2014 |
Predictability of the Arctic sea ice edge HF Goessling, S Tietsche, JJ Day, E Hawkins, T Jung Geophysical Research Letters 43 (4), 1642-1650, 2016 | 127 | 2016 |
Use and impact of Arctic observations in the ECMWF Numerical Weather Prediction system H Lawrence, N Bormann, I Sandu, J Day, J Farnan, P Bauer Quarterly Journal of the Royal Meteorological Society 145 (725), 3432-3454, 2019 | 83 | 2019 |
Precipitation and floodiness E Stephens, JJ Day, F Pappenberger, H Cloke Geophysical Research Letters 42 (23), 10,316-10,323, 2015 | 63 | 2015 |
Towards seasonal Arctic shipping route predictions N Melia, K Haines, E Hawkins, JJ Day Environmental Research Letters 12 (8), 084005, 2017 | 59 | 2017 |
Growing land‐sea temperature contrast and the intensification of Arctic cyclones JJ Day, KI Hodges Geophysical Research Letters 45 (8), 3673-3681, 2018 | 53 | 2018 |
Impact of a multi‐layer snow scheme on near‐surface weather forecasts G Arduini, G Balsamo, E Dutra, JJ Day, I Sandu, S Boussetta, T Haiden Journal of Advances in Modeling Earth Systems 11 (12), 4687-4710, 2019 | 49 | 2019 |
Seasonal differences in the response of Arctic cyclones to climate change in CESM1 JJ Day, MM Holland, KI Hodges Climate dynamics 50, 3885-3903, 2018 | 48 | 2018 |
An inter-comparison of Arctic synoptic scale storms between four global reanalysis datasets AF Vessey, KI Hodges, LC Shaffrey, JJ Day Climate Dynamics 54, 2777-2795, 2020 | 36 | 2020 |
The impact of a seasonally ice free Arctic Ocean on the temperature, precipitation and surface mass balance of Svalbard JJ Day, JL Bamber, PJ Valdes, J Kohler Cryosphere 6 (1), 35-50, 2012 | 36 | 2012 |
Reemergence of Antarctic sea ice predictability and its link to deep ocean mixing in global climate models S Marchi, T Fichefet, H Goosse, V Zunz, S Tietsche, JJ Day, E Hawkins Climate Dynamics 52, 2775-2797, 2019 | 31 | 2019 |
The Arctic predictability and prediction on seasonal-to-interannual timescales (APPOSITE) data set version 1 JJ Day, S Tietsche, M Collins, HF Goessling, V Guemas, A Guillory, ... Geoscientific Model Development 9 (6), 2255-2270, 2016 | 31* | 2016 |
Aspects of designing and evaluating seasonal‐to‐interannual Arctic sea‐ice prediction systems E Hawkins, S Tietsche, JJ Day, N Melia, K Haines, S Keeley Quarterly Journal of the Royal Meteorological Society 142 (695), 672-683, 2016 | 30 | 2016 |
Paving the way for the year of polar prediction HF Goessling, T Jung, S Klebe, J Baeseman, P Bauer, P Chen, ... Bulletin of the American Meteorological Society 97 (4), ES85-ES88, 2016 | 29 | 2016 |