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Helge F. Goessling
Helge F. Goessling
Scientist @ Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, BHV, Germany
Verified email at awi.de - Homepage
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Cited by
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
2542016
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, ...
1772013
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
1242022
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
1232016
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
1092020
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
942011
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
792018
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
772018
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
77*2013
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
722021
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
542019
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
452022
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
402018
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
392018
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
372019
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
332015
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
Predictability of Antarctic sea ice edge on subseasonal time scales
L Zampieri, HF Goessling, T Jung
Geophysical Research Letters 46 (16), 9719-9727, 2019
292019
Why CO2 cools the middle atmosphere – a consolidating model perspective
HF Goessling, S Bathiany
Earth System Dynamics 7 (3), 697-715, 2016
292016
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
282016
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