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 | 262 | 2016 |
Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part I: Model formulation and mean climate D Sidorenko, T Rackow, T Jung, T Semmler, D Barbi, S Danilov, W Dorn, ... | 178 | 2013 |
Overview of the MOSAiC expedition: Snow and sea ice M Nicolaus, DK Perovich, G Spreen, MA Granskog, L von Albedyll, ... Elem Sci Anth 10 (1), 000046, 2022 | 139 | 2022 |
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 | 133 | 2016 |
Simulations for CMIP6 with the AWI climate model AWI‐CM‐1‐1 T Semmler, S Danilov, P Gierz, HF Goessling, J Hegewald, C Hinrichs, ... Journal of Advances in Modeling Earth Systems 12 (9), e2019MS002009, 2020 | 121 | 2020 |
What do moisture recycling estimates tell us? Exploring the extreme case of non-evaporating continents HF Goessling, CH Reick Hydrology and Earth System Sciences 15 (10), 3217-3235, 2011 | 95 | 2011 |
Bright prospects for Arctic sea ice prediction on subseasonal time scales L Zampieri, HF Goessling, T Jung Geophysical Research Letters 45 (18), 9731-9738, 2018 | 83 | 2018 |
Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part II: climate variability T Rackow, HF Goessling, T Jung, D Sidorenko, T Semmler, D Barbi, ... Climate dynamics 50, 2369-2394, 2018 | 80 | 2018 |
The MOSAiC Drift: Ice conditions from space and comparison with previous years T Krumpen, L Von Albedyll, HF Goessling, S Hendricks, B Juhls, ... The Cryosphere Discussions 2021, 1-35, 2021 | 79 | 2021 |
On the" well-mixed" assumption and numerical 2-D tracing of atmospheric moisture HF Goessling, CH Reick Atmospheric Chemistry and Physics 13, 5567-5585, 2013 | 78* | 2013 |
Evaluation of FESOM2. 0 coupled to ECHAM6. 3: preindustrial and HighResMIP simulations D Sidorenko, HF Goessling, NV Koldunov, P Scholz, S Danilov, D Barbi, ... Journal of Advances in Modeling Earth Systems 11 (11), 3794-3815, 2019 | 57 | 2019 |
Delayed Antarctic sea-ice decline in high-resolution climate change simulations T Rackow, S Danilov, HF Goessling, HH Hellmer, DV Sein, T Semmler, ... Nature communications 13 (1), 637, 2022 | 51 | 2022 |
A probabilistic verification score for contours: Methodology and application to Arctic ice‐edge forecasts HF Goessling, T Jung Quarterly Journal of the Royal Meteorological Society 144 (712), 735-743, 2018 | 42 | 2018 |
Predictability of Arctic sea ice on weather time scales M Mohammadi-Aragh, HF Goessling, M Losch, N Hutter, T Jung Scientific reports 8 (1), 6514, 2018 | 41 | 2018 |
Fast EVP solutions in a high‐resolution sea ice model NV Koldunov, S Danilov, D Sidorenko, N Hutter, M Losch, H Goessling, ... Journal of Advances in Modeling Earth Systems 11 (5), 1269-1284, 2019 | 37 | 2019 |
Predictability of Antarctic sea ice edge on subseasonal time scales L Zampieri, HF Goessling, T Jung Geophysical Research Letters 46 (16), 9719-9727, 2019 | 32 | 2019 |
Polar lower-latitude linkages and their role in weather and climate prediction T Jung, F Doblas-Reyes, H Goessling, V Guemas, C Bitz, C Buontempo, ... Bulletin of the American Meteorological Society 96 (11), ES197-ES200, 2015 | 32 | 2015 |
Why CO2 cools the middle atmosphere – a consolidating model perspective HF Goessling, S Bathiany Earth System Dynamics 7 (3), 697-715, 2016 | 31 | 2016 |
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 |
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 |