Jonathan Day

SCIENTIST
Forecast Department, Evaluation Section, Diagnostics

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Profile
Summary: 

Jonny is interested in polar weather and climate processes, particularly coupled processes involving the crysophere. He is currently developing diagnostics to evaluate the ECMWF IFS model in the polar regions. This work is funded by the EU-H2020 APPLICATE project.

Professional interests: 
  • Coupled processes involving the cryosphere

  • High latitude climate processes

  • sea ice prediction

  • Arctic storms and extreme events

  • Polar predictability and prediction

Career background: 

Before joining ECMWF in 2017 Jonny was an AXA Post-Doctoral Research Fellow at the University of Reading. His research focussed on Arctic cyclones, sea ice prediction and polar climate processes. Before this he was a Post-Doc at the Japan Agency for Marine Earth Science and Technology (JAMSTEC). He received his PhD from the University of Bristol in 2011.

External recognitions: 

Jonny is a steering group member of the World Weather Research Program – Polar Prediction Project, a 10 year WMO initiative designed to improve the provision of polar weather forecasting in the polar regions.

Publications

2017

Valdes, P. J., Armstrong, E., Badger, M. P. S., Bradshaw, C. D., Bragg, F., Davies-Barnard, T., Day, J. J., Farnsworth, A., Hopcroft, P. O., Kennedy, A. T., Lord, N. S., Lunt, D. J., Marzocchi, A., Parry, L. M., Roberts, W. H. G., Stone, E. J., Tourte, G. J. L. and Williams, J. H. T. (2017) The BRIDGE HadCM3 family of climate models: HadCM3@Bristol v1.0. Geoscientific Model Development, 10. pp. 3715-3743. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-2017-16

Melia, N., Haines, K., Hawkins, E. and Day, J. J. (2017) Towards seasonal Arctic shipping route predictions. Environmental Research Letters, 12 (8). ISSN 1748-9326 doi: https://doi.org/10.1088/1748-9326/aa7a60

Day, J. J., Holland, M. M. and Hodges, K. I. (2017) Seasonal differences in the response of Arctic cyclones to climate change in CESM1. Climate Dynamics. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-017-3767-x

Day, J. J., Svensson, G., Brooks, I. M., Bitz, C., Broman, L., Carver, G., Chevallier, M., Goessling, H., Hartung, K., Jung, T., Kay, J. E., Kolstad, E. W., Perovich, D., Screen, J., Siemen, S. and Váňa, F. (2017) The Abisko Polar Prediction School. Bulletin of the American Meteorological Society, 98 (3). pp. 445-447. ISSN 1520-0477 doi: https://doi.org/10.1175/BAMS-D-16-0119.1

2016

Edinburgh, T. and Day, J. J. (2016) Estimating the extent of Antarctic summer sea ice during the Heroic Age of Antarctic Exploration. The Cryosphere, 10 (6). pp. 2721-2730. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-10-2721-2016

Jung, T., Gordon, N. D., Bauer, P., Bromwich, D. H., Chevallier, M., Day, J. J., Dawson, J., Doblas-Reyes, F., Fairall, C., Goessling, H. F., Holland, M., Inoue, J., Iversen, T., Klebe, S., Lemke, P., Losch, M., Makshtas, A., Mills, B., Nurmi, P., Perovich, D., Reid, P., Renfrew, I. A., Smith, G., Svensson, G., Tolstykh, M. and Yang, Q. (2016) Advancing polar prediction capabilities on daily to seasonal time scales. Bulletin of the American Meteorological Society, 97 (9). pp. 1631-1647. ISSN 1520-0477 doi: https://doi.org/10.1175/BAMS-D-14-00246.1

Day, J. J., Tietsche, S., Collins, M., Goessling, H. F., Guemas, V., Guillory, A., Hurlin, W. J., Ishii, M., Keeley, S. P. E., Matei, D., Msadek, R., Sigmond, M., Tatebe, H. and Hawkins, E. (2016) The Arctic Predictability and Prediction on Seasonal-to-Interannual TimEscales (APPOSITE) data set version 1. Geoscientific Model Development, 9 (6). pp. 2255-2270. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-9-2255-2016

Goessling, H. F., Jung, T., Klebe, S., Baeseman, J., Bauer, P., Chen, P., Chevallier, M., Dole, R., Gordon, N., Ruti, P., Bradley, A., Bromwich, D. H., Casati, B., Chechin, D., Day, J. J., Massonnet, F., Mills, B., Renfrew, I., Smith, G. and Tatusko, R. (2016) Paving the way for the year of polar prediction. Bulletin of the American Meteorological Society, 97 (4). ES85-ES88. ISSN 1520-0477 doi: https://doi.org/10.1175/BAMS-D-15-00270.1

Goessling, H. F., Tietsche, S., Day, J. J., Hawkins, E. and Jung, T. (2016) Predictability of the Arctic sea ice edge. Geophysical Research Letters, 43 (4). pp. 1642-1650. ISSN 0094-8276 doi: https://doi.org/10.1002/2015GL067232

Hawkins, E., Tietsche, S., Day, J. J., Melia, N., Haines, K. and Keeley, S. (2016) Aspects of designing and evaluating seasonal-to-interannual Arctic sea-ice prediction systems. Quarterly Journal of the Royal Meteorological Society, 142 (695). pp. 672-683. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2643

Tietsche, S., Hawkins, E. and Day, J. J. (2016) Atmospheric and oceanic contributions to irreducible forecast uncertainty of Arctic surface climate. Journal of Climate, 29 (1). pp. 331-346. ISSN 0894-8755 doi: https://doi.org/10.1175/JCLI-D-15-0421.1

Guemas, V., Blanchard-Wrigglesworth, E., Chevallier, M., Day, J. J., Déqué, M., Doblas-Reyes, F. J., Fučkar, N., Germe, A., Hawkins, E., Keeley, S., Koenigk, T., Salas y Mélia, D. and Tietsche, S. (2016) A review on Arctic sea ice predictability and prediction on seasonal-to-decadal timescales. Quarterly Journal of the Royal Meteorological Society, 142 (695). pp. 546-561. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2401

2015

Stephens, E., Day, J. J., Pappenberger, F. and Cloke, H. (2015) Precipitation and floodiness. Geophysical Research Letters, 42 (23). pp. 10316-10323. ISSN 0094-8276 doi: https://doi.org/10.1002/2015GL066779

Jung, T., Bauer, P., Goessling, H. F., Gordon, N., Klebe, S., Bromwich, D. H., Doblas-Reyes, F., Day, J. J., Fairall, C. W., Holland, M., Iverson, T., Lemke, P., Mills, B., Nurmi, P., Perovich, D. K., Reid, P., Renfrew, I., Smith, G., Svensson, G. and Tolstykh, M. (2015) The WWRP Polar Prediction Project (PPP). In: Brunet, G., Jones, S. and Ruti, P. (eds.) Seamless prediction of the Earth system: from minutes to months. WMO, 1156. World Meteorological Organisation, Geneva, pp. 371-384. ISBN 9789263111562

2014

Day, J., Hawkins, E. and Tietsche, S. (2014) Will Arctic sea ice thickness initialization improve seasonal forecast skill? Geophysical Research Letters, 41 (21). pp. 7566-7575. ISSN 0094-8276 doi: https://doi.org/10.1002/2014GL061694

Day, J. J., Tietsche, S. and Hawkins, E. (2014) Pan-Arctic and regional sea ice predictability: initialization month dependence. Journal of Climate, 27 (12). pp. 4371-4390. ISSN 1520-0442 doi: https://doi.org/10.1175/JCLI-D-13-00614.1

Tietsche, S., Day, J.J., Guemas, V., Hurlin, W. J., Keeley, S.P.E., Matei, D., Msadek, R., Collins, M. and Hawkins, E. (2014) Seasonal to interannual Arctic sea-ice predictability in current GCMs. Geophysical Research Letters, 41 (3). pp. 1035-1043. ISSN 0094-8276 doi: https://doi.org/10.1002/2013GL058755

2013

Day, J.J., Bamber, J. L. and Valdes, P. J. (2013) The Greenland Ice Sheet's surface mass balance in a seasonally sea-ice free Arctic. Journal of Geophysical Research : Earth Surface, 118 (3). pp. 1533-1544. ISSN 2169-9011 doi: https://doi.org/10.1002/jgrf.20112

2013

Day, J. J., Hargreaves, J. C., Annan, J. D. and Abe-Ouchi, A. (2012) Sources of multi-decadal variability in Arctic sea ice extent. Environmental Research Letters, 7 (3). 034011. ISSN 1748-9326 doi: https://doi.org/10.1088/1748-9326/7/3/034011

Day, J. J., Bamber, J. L., Valdes, P. J. and Kohler, J. (2012) The impact of a seasonally ice free Arctic Ocean on the temperature, precipitation and surface mass balance of Svalbard. The Cryosphere, 6. pp. 35-50. ISSN 1994-0424 doi: https://doi.org/10.5194/tc-6-35-2012