Jonathan Day
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Year
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
1452016
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
1302016
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
1262012
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
113*2017
Will Arctic sea ice thickness initialization improve seasonal forecast skill?
JJ Day, E Hawkins, S Tietsche
Geophysical Research Letters 41 (21), 7566-7575, 2014
1132014
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
1002014
Pan-Arctic and regional sea ice predictability: Initialization month dependence
JJ Day, S Tietsche, E Hawkins
Journal of Climate 27 (12), 4371-4390, 2014
982014
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
662016
Precipitation and floodiness
E Stephens, JJ Day, F Pappenberger, H Cloke
Geophysical Research Letters 42 (23), 10,316-10,323, 2015
422015
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
332012
Towards seasonal Arctic shipping route predictions
N Melia, K Haines, E Hawkins, JJ Day
Environmental Research Letters 12 (8), 084005, 2017
302017
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
252016
Growing land‐sea temperature contrast and the intensification of Arctic cyclones
JJ Day, KI Hodges
Geophysical Research Letters 45 (8), 3673-3681, 2018
212018
Seasonal differences in the response of Arctic cyclones to climate change in CESM1
JJ Day, MM Holland, KI Hodges
Climate Dynamics 50 (9), 3885-3903, 2018
202018
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
20*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
182019
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
182016
The Greenland Ice Sheet's surface mass balance in a seasonally sea ice‐free Arctic
JJ Day, JL Bamber, PJ Valdes
Journal of Geophysical Research: Earth Surface 118 (3), 1533-1544, 2013
142013
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 (5), 2775-2797, 2019
122019
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
YJ Kim, HC Kim, D Han, S Lee, J Im
The Cryosphere 14 (3), 1083-1104, 2020
92020
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