Malte Müller

• Thomas, Erin E. & Müller, Malte (2022). Characterizing vertical upper ocean temperature structures in the European Arctic through unsupervised machine learning. Ocean Modelling. ISSN 1463-5003. 177. doi: 10.1016/j.ocemod.2022.102092. Vis sammendrag

  In-situ observations of subsurface ocean temperatures are, in many regions, inconsistently distributed in time and space. These spatio-temporal inconsistencies in the observational network lead to difficulties in utilizing those observations effectively for ocean model evaluation or understanding larger-scale ocean characteristics. Model accuracy of subsurface ocean characteristics is especially important within regions that contain complex ocean structures. One such region is the European Arctic which not only contains several types of water masses with unique characteristics, but also wintertime sea ice coverage and complex bathymetry. This study presents an unsupervised neural networking technique that can be used in combination with traditional ocean model evaluation techniques to provide additional information on the accuracy of modeled vertical ocean temperature profiles. Self-organizing maps is an unsupervised machine learning technique that we apply to approximately twenty thousand Argo and CTD temperature profiles from 2012 to 2020 in the European Arctic to categorize the observed vertical ocean temperature structures in the top 150 m. The observed ocean profile categories, or neurons, defined by the self-organizing map show strong spatial and temporal dependencies. We then use the neuron weights, or the learned temperature profile structure of each neuron, to validate the spatial and temporal variability of modeled vertical temperature structures. This analysis gives us new insights about the model’s capabilities to reproduce specific vertical structures of the top-most ocean layer within different regions and seasons. Mapping modeled ocean temperature profiles onto the neuron-space of the observationally-defined self organized map highlights the potential of this method to advance our understanding of model deficiencies in that region.

• Müller, Malte; Kelder, Timo & Palerme, Cyril (2022). Decline of sea-ice in the Greenland Sea intensifies extreme precipitation over Svalbard. Weather and Climate Extremes. ISSN 2212-0947. 36. doi: 10.1016/j.wace.2022.100437.
• Blair, Berill; Müller, Malte; Palerme, Cyril; Blair, Rayne; Crookall, David & Knol-Kauffman, Maaike [Vis alle 7 forfattere av denne artikkelen] (2022). Coproducing Sea Ice Predictions with Stakeholders Using Simulation. Weather, Climate, and Society. ISSN 1948-8327. 14(2), s. 399–413. doi: 10.1175/WCAS-D-21-0048.1. Fulltekst i vitenarkiv
• Rabault, Jean; Nose, Takehiko; Hope, Gaute; Müller, Malte; Breivik, Øyvind & Voermans, Joey [Vis alle 20 forfattere av denne artikkelen] (2022). OpenMetBuoy-v2021: An Easy-to-Build, Affordable, Customizable, Open-Source Instrument for Oceanographic Measurements of Drift and Waves in Sea Ice and the Open Ocean. Geosciences. ISSN 2076-3263. 12(3). doi: 10.3390/geosciences12030110. Fulltekst i vitenarkiv
• Daher, Houraa; Arbic, Brian K.; Williams, James G.; Ansong, Joseph K.; Boggs, Dale H. & Müller, Malte [Vis alle 18 forfattere av denne artikkelen] (2021). Long-Term Earth-Moon Evolution With High-Level Orbit and Ocean Tide Models. Journal of Geophysical Research (JGR): Planets. ISSN 2169-9097. 126(12), s. 1–39. doi: 10.1029/2021JE006875.
• Thomas, Erin E.; Müller, Malte; Bohlinger, Patrik; Batrak, Yurii & Szapiro, Nicholas (2021). A Kilometer-Scale Coupled Atmosphere-Wave Forecasting System for the European Arctic. Weather and forecasting. ISSN 0882-8156. 36(6), s. 2087–2099. doi: 10.1175/WAF-D-21-0065.1. Fulltekst i vitenarkiv
• von Schuckmann , Karina; Traon, Pierre-Yves; Smith, Neville; Pascual, Ananda; Djavidnia, Samuel & Gattuso, Jean-Pierre [Vis alle 22 forfattere av denne artikkelen] (2021). Copernicus Marine Service Ocean State Report, Issue 5. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. ISSN 1755-876X. 14(S1). doi: 10.1080/1755876X.2021.1946240. Fulltekst i vitenarkiv
• Palerme, Cyril & Müller, Malte (2021). Calibration of sea ice drift forecasts using random forest algorithms. The Cryosphere. ISSN 1994-0416. 15(8), s. 3989–4004. doi: 10.5194/tc-15-3989-2021.
• von Schuckmann, K.; Le Traon, Pierre-Yves; Smith, Neville; Pascual, Ananda; Djavidnia, Samuel & Gattuso, Jean-Pierre [Vis alle 13 forfattere av denne artikkelen] (2020). Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. ISSN 1755-876X. 13(1), s. 1–172. doi: 10.1080/1755876X.2020.1785097.
• Ødemark, Karianne; Müller, Malte & Tveito, Ole Einar Ellingbø (2020). Changing lateral boundary conditions for probable maximum precipitation studies: A physically consistent approach. Journal of Hydrometeorology. ISSN 1525-755X. 22(1), s. 113–123. doi: 10.1175/JHM-D-20-0070.1. Fulltekst i vitenarkiv
• Kelder, Timo; Müller, Malte; Slater, L.J.; Marjoribanks, T.I.; Wilby, R.L. & Prudhomme, Christel [Vis alle 9 forfattere av denne artikkelen] (2020). Using UNSEEN trends to detect decadal changes in 100-year precipitation extremes. npj Climate and Atmospheric Science. ISSN 2397-3722. 3. doi: 10.1038/s41612-020-00149-4. Fulltekst i vitenarkiv
• Løken, Trygve Kvåle; Rabault, Jean; Thomas, Erin E.; Müller, Malte; Christensen, Kai Håkon & Sutherland, Graig [Vis alle 7 forfattere av denne artikkelen] (2020). A comparison of wave observations in the Arctic marginal ice zone with spectral models. Proceedings of the IAHR International Symposium on ice. ISSN 2414-6331. s. 499–508.
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Sutherland, Graig; Christensen, Kai Håkon & Müller, Malte (2020). Wave measurements from ship mounted sensors in the Arctic marginal ice zone. Cold Regions Science and Technology. ISSN 0165-232X. 182. doi: 10.1016/j.coldregions.2020.103207. Fulltekst i vitenarkiv
• Hegdahl, Trine J.; Engeland, Kolbjørn; Müller, Malte & Sillmann, Jana (2020). An event-based approach to explore selected present and future atmospheric river–induced floods in Western Norway. Journal of Hydrometeorology. ISSN 1525-755X. 21(9), s. 2003–2021. doi: 10.1175/JHM-D-19-0071.1. Fulltekst i vitenarkiv Vis sammendrag

  The aim of this study is to investigate extreme precipitation events caused by atmospheric rivers and compare their flood impact in a warmer climate to current climate using an event-based storyline approach. The study was set up by selecting four high precipitation events from 30 years of present and future climate simulations of the high-resolution global climate model EC-Earth. The two most extreme precipitation events within the selection area for the present and future climate were identified, and EC-Earth was rerun creating 10 perturbed realizations for each event. All realizations were further downscaled with the regional weather prediction model, AROME-MetCoOp. The events were thereafter used as input to the operational Norwegian flood-forecasting model for 37 selected catchments in western Norway, and the magnitude and the spatial pattern of floods were analyzed. The role of the hydrological initial conditions, which are important for the total flooding, were analyzed with a special emphasis on snow and soil moisture excess. The results show that the selected future extreme precipitation events affected more catchments with larger floods, compared to the events from present climate. In addition, multiple realizations of the meteorological forcing and four different hydrological initial conditions, e.g. soil saturation and snow storage, were important for the estimation of the maximum flood level. The meteorological forcing (e.g. the internal variability/perturbed output) accounts for the highest contribution to the spread in flood magnitude; however, for some events and catchments the hydrological initial conditions affected the magnitudes of floods more than the meteorological forcing.

• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Haarsma, Reindert; Hazeleger, Wilco & Hegdahl, Trine Jahr [Vis alle 10 forfattere av denne artikkelen] (2020). The role of spatial and temporal model resolution in a flood event storyline approach in western Norway. Weather and Climate Extremes. ISSN 2212-0947. 29. doi: 10.1016/j.wace.2020.100259. Fulltekst i vitenarkiv
• Haigh, Ivan D.; Pickering, Mark D.; Green, J.A. Mattias; Arbic, Brian K.; Arns, Arne & Dangendorf, Sönke [Vis alle 18 forfattere av denne artikkelen] (2020). The tides they are a-changin': A comprehensive review of past and future nonastronomical changes in tides, their driving mechanisms, and future implications. Reviews of Geophysics. ISSN 8755-1209. 58:e2018RG000636(1), s. 1–39. doi: 10.1029/2018RG000636.
• Aaboe, Signe; Aguiar, Eva; Álvarez Fanjul, Enrique; Alvera-Azcárate, Aida; Aouf, Lotfi & Barciela, Rosa [Vis alle 113 forfattere av denne artikkelen] (2019). Copernicus Marine Service Ocean State Report, Issue 3. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. ISSN 1755-876X. 12, s. 1–123. doi: 10.1080/1755876X.2019.1633075.
• Batrak, Yurii & Müller, Malte (2019). On the warm bias in atmospheric reanalyses induced by the missing snow over Arctic sea-ice. Nature Communications. ISSN 2041-1723. 10(1). doi: 10.1038/s41467-019-11975-3.
• Howe, Bruce M.; Arbic, Brian K.; Aucan, Jérome; Barnes, Chris; Bayliff, Nigel & Becker, Nathan [Vis alle 25 forfattere av denne artikkelen] (2019). Smart cables for observing the global ocean: Science and implementation. Frontiers in Marine Science. ISSN 2296-7745. 6. doi: 10.3389/fmars.2019.00424.
• Bohlinger, Patrik; Breivik, Øyvind; Economou, Theodoros & Müller, Malte (2019). A novel approach to computing super observations for probabilistic wave model validation. Ocean Modelling. ISSN 1463-5003. 139:101404, s. 1–10. doi: 10.1016/j.ocemod.2019.101404. Fulltekst i vitenarkiv
• Palerme, Cyril; Müller, Malte & Melsom, Arne (2019). An intercomparison of verification scores for evaluating the sea ice edge position in seasonal forecasts. Geophysical Research Letters. ISSN 0094-8276. 46(9), s. 4757–4763. doi: 10.1029/2019GL082482.
• Melsom, Arne; Palerme, Cyril & Müller, Malte (2019). Validation metrics for ice edge position forecasts. Ocean Science. ISSN 1812-0784. 15(3), s. 615–630. doi: 10.5194/os-15-615-2019. Vis sammendrag

  Retreating sea ice in the Arctic Ocean gives rise to increased naval traffic with shorter navigation distances. Hence, information about the position of the sea ice edge is crucial for safe navigation. In the present study we explore methods for examining the quality of sea ice edge forecasts. We conclude that the forecast quality can be monitored with results from a set of four quantities. We also recommend the use of maps which display discrepancies in the positions of the sea ice edge.

• Sérazin, Guillaume; Penduff, Thierry; Barnier, Bernard; Molines, Jean-Marc; Arbic, Brian K. & Müller, Malte [Vis alle 7 forfattere av denne artikkelen] (2018). Inverse cascades of kinetic energy as a source of intrinsic variability: A global OGCM study. Journal of Physical Oceanography. ISSN 0022-3670. 48(6), s. 1385–1408. doi: 10.1175/JPO-D-17-0136.1.
• Batrak, Yurii & Müller, Malte (2018). Atmospheric response to kilometer‐scale changes in sea‐ice concentration within the Marginal Ice Zone. Geophysical Research Letters. ISSN 0094-8276. 45(13), s. 6702–6709. doi: 10.1029/2018GL078295.
• Li, Zhuhua; von Storch, Jin-Song & Müller, Malte (2017). The K1 internal tide simulated by a 1/10° OGCM. Ocean Modelling. ISSN 1463-5003. 113, s. 145–156. doi: 10.1016/j.ocemod.2017.04.002.
• Müller, Malte; Batrak, Yurii; Kristiansen, Jørn; Køltzow, Morten Andreas Ødegaard; Noer, Gunnar & Korosov, Anton (2017). Characteristics of a convective-scale weather forecasting system for the European Arctic. Monthly Weather Review. ISSN 0027-0644. 145(12), s. 4771–4787. doi: 10.1175/MWR-D-17-0194.1.
• Müller, Malte; Homleid, Mariken; Ivarsson, Karl-Ivar; Køltzow, Morten Andreas Ødegaard; Lindskog, Magnus & Midtbø, Knut Helge [Vis alle 15 forfattere av denne artikkelen] (2017). AROME-MetCoOp: A Nordic Convective-Scale Operational Weather Prediction Model. Weather and forecasting. ISSN 0882-8156. 32(2), s. 609–627. doi: 10.1175/WAF-D-16-0099.1.
• Li, Zhuhua; von Storch, Jin-Song & Müller, Malte (2015). The M2 Internal Tide Simulated by a 1/10° OGCM. Journal of Physical Oceanography. ISSN 0022-3670. 45(12), s. 3119–3135. doi: 10.1175/JPO-D-14-0228.1.
• Müller, Malte; Arbic, Brian K.; Richman, James G.; Shriver, Jay F.; Kunze, Eric & Scott, Robert [Vis alle 8 forfattere av denne artikkelen] (2015). Toward an internal gravity wave spectrum in global ocean models. Geophysical Research Letters. ISSN 0094-8276. 42(9), s. 3474–3481. doi: 10.1002/2015GL063365.
• Fer, Ilker; Müller, Malte & Peterson, Algot Kristoffer (2015). Tidal forcing, energetics, and mixing near the Yermak Plateau. Ocean Science. ISSN 1812-0784. 11(2), s. 287–304. doi: 10.5194/os-11-287-2015. Fulltekst i vitenarkiv
• Müller, Malte; Cherniawsky, Josef Y.; Foreman, Michael G.G. & von Storch, Jin-Song (2014). Seasonal variation of the M 2 tide. Ocean Dynamics. ISSN 1616-7341. 64(2), s. 159–177. doi: 10.1007/s10236-013-0679-0.
• Gräwe, Ulf; Burchard, Hans; Müller, Malte & Schuttelaars, Henk M. (2014). Seasonal variability in M<sub>2</sub> and M<sub>4</sub> tidal constituents and its implications for the coastal residual sediment transport. Geophysical Research Letters. ISSN 0094-8276. 41(15), s. 5563–5570. doi: 10.1002/2014GL060517.
• Arbic, Brian K.; Müller, Malte; Richman, James G.; Shriver, Jay F.; Morten, Andrew J. & Scott, Robert B. [Vis alle 8 forfattere av denne artikkelen] (2014). Geostrophic turbulence in the frequency-wavenumber domain: Eddy-driven low-frequency variability. Journal of Physical Oceanography. ISSN 0022-3670. 44(8), s. 2050–2069. doi: 10.1175/JPO-D-13-054.1.
• Stammer, Detlef; Ray, Richard D.; Andersen, Ole Baltazar; Arbic, Brian K.; Bösch, Wolfgang & Carrère, Loren [Vis alle 27 forfattere av denne artikkelen] (2014). Accuracy assessment of global barotropic ocean tide models. Reviews of Geophysics. ISSN 8755-1209. 52(3), s. 243–282. doi: 10.1002/2014RG000450.

Se alle arbeider i Cristin

• Müller, Malte (2022). Atmosphere, sea-ice, ocean, and wave interactions in a coupled kilometer-scale Arctic forecasting system .
• Thomas, Erin E. & Müller, Malte (2022). Characterizing Upper Ocean Temperature Structures in the European Arctic: Self-organizing Mapping for Model Validation.
• Seuthe, Lena; Bluhm, Bodil Annikki Ulla Barbro; Reigstad, Marit; Steer, Adam; Lundesgaard, Øyvind & Gerland, Sebastian [Vis alle 8 forfattere av denne artikkelen] (2022). Beyond satellite observations of sea ice. Fram Forum. ISSN 1893-5532.
• Thomas, Erin E.; Müller, Malte; Szapiro, Nicholas; Bohlinger, Patrik; Batrak, Yurii & Palerme, Cyril (2021). An Arctic coupled kilometer-scale atmosphere, sea-ice, and wave forecasting system.
• Müller, Malte; Kelder, Timo & Palerme, Cyril (2021). Extreme precipitation over Svalbard and its relation to the recent decline of sea-ice.
• Müller, Malte; Jeuring, Jelmer; Thomas, Erin E.; Palerme, Cyril; Hjøllo, Bjørn Åge & Høylandskjær, Ståle [Vis alle 8 forfattere av denne artikkelen] (2021). Tailored probabilistic weather and sea ice forecasting services for Arctic marine operators.
• Müller, Malte; Sundfjord, Arild & Årthun, Marius (2021). Rekordlite is og økt skipstrafikk i Arktis: Hvordan forbereder vi oss på framtiden? . High North News.
• Müller, Malte; Stige, Leif Christian; Gabrielsen, Geir W.; Rinaldo, Øyvind; Knudsen, Stig Morten & Rødven, Rolf [Vis alle 8 forfattere av denne artikkelen] (2020). Arctic Frontiers side event FROM NANSEN LEGACY SCIENCE TO USEFUL KNOWLEDGE FOR SOCIETY.
• Løken, Trygve Kvåle; Rabault, Jean; Thomas, Erin E.; Müller, Malte; Christensen, Kai Håkon & Sutherland, Graig [Vis alle 7 forfattere av denne artikkelen] (2020). A comparison of wave observations in the Arctic marginal ice zone with spectral models.
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Sutherland, Graig; Christensen, Kai Håkon & Müller, Malte (2019). Wave measurements from ship mounted sensors in the Arctic marginal ice zone.
• Evans, Anna Kathinka Dalland; Batrak, Yurii & Müller, Malte (2019). Ny metode for varsling av vær i arktisk. Forskning.no. ISSN 1891-635X.
• Evans, Anna Kathinka Dalland; Batrak, Yurii & Müller, Malte (2019). New method for weather forecasting in the arctic. sciencenorway.no.
• Thomas, Erin E.; Batrak, Yurii; Müller, Malte; Carrasco, Ana & Sætra, Øyvind (2019). Atmosphere-Wave Coupling in an Arctic NWP System.
• Thomas, Erin E.; Batrak, Yurii; Müller, Malte; Carrasco, Ana & Sætra, Øyvind (2019). Atmosphere-Wave Coupling in a NWP System.
• Müller, Malte (2019). On the warm bias of atmospheric reanalysis over sea-ice in Arctic winter. .
• Løken, Trygve Kvåle; Rabault, Jean; Jensen, Atle; Christensen, Kai Håkon & Müller, Malte (2019). Wave statistics from ship mounted sensors in the marginal ice zone.
• Breivik, Øyvind; Rabault, Jean; Hole, Lars R; Christensen, Kai Håkon; Müller, Malte & Jensen, Atle [Vis alle 7 forfattere av denne artikkelen] (2019). Bølger i isen påvirker Arktis. Å forstå isdønningene kan forbedre værvarsler og klimamodeller. Forskning.no. ISSN 1891-635X.
• Arbic, Brian K.; Alford, Matthew H.; Ansong, Joseph K.; Buijsman, Maarten C.; Ciotti, Robert B. & Farrar, J. Thomas [Vis alle 27 forfattere av denne artikkelen] (2018). A Primer on Global Internal Tide and Internal Gravity Wave Continuum Modeling n HYCOM and MITgcm . I Chassignet, Eric P. (Red.), New Frontiers in Operational Oceanography. GODAE OceanView. ISSN 1720549974. s. 307–392.
• Müller, Malte & Batrak, Yurii (2018). On the warm bias of atmospheric reanalysis over sea-ice in Arctic winter.
• Müller, Malte & Batrak, Yurii (2018). Convective-scale atmospheric modelling in the Arctic: Model characteristics and sensitivity to the sea-ice representation.
• Müller, Malte & Sivle, Anders Doksæter (2018). Maritimt forskning - SALIENSEAS. Skipsrevyen. ISSN 0800-2282. 5.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Bjørge, Dag; Kelder, Timo & van den Oort, Gijs [Vis alle 8 forfattere av denne artikkelen] (2018). Translating the October 2014 flood event in western Norway into the future. Geophysical Research Abstracts. ISSN 1029-7006. 20.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Bjørge, Dag; Kelder, Timo & van den Oord, Gjis [Vis alle 8 forfattere av denne artikkelen] (2018). Translating the October 2014 flood event in western Norway into the future.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Bjørge, Dag; Kelder, Timo & van den Oord, Gjis [Vis alle 8 forfattere av denne artikkelen] (2018). Translating the October 2014 flood event in western Norway into the future.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Haarsma, Reindert J.; Amundsen, Helene & Whan, Kirien (2017). Translating weather extremes into the future - A case for Norway.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte & Bjørge, Dag (2017). First results from the West Coast event.
• Schaller, Nathalie; Sillmann, Jana; Müller, Malte; Haarsma, Reindert J.; Hazeleger, Wilco & Amundsen, Helene (2017). Translating weather extremes into the future - A case for Norway.
• Nilsen, Frank; Fer, Ilker; Baumann, Till Martin; Breivik, Øyvind; Czyz, Ceslav & Frank, Lukas [Vis alle 14 forfattere av denne artikkelen] (2021). PC-2 Winter Process Cruise (WPC). Septentrio Academic Publishing. 26.
• Fer, Ilker; Nilsen, Frank; Bosse, Anthony; Falck, Eva; Fossum, Trygve Olav & Hole, Lars Robert [Vis alle 18 forfattere av denne artikkelen] (2020). Physical Process Cruise 2018: Cruise Report. Septentrio Academic Publishing.
• Lamers, Machiel; Knol, Maaike; Müller, Malte; Blair, Berill; Jeuring, Jelmer & Rasmussen, Till Andreas Soya [Vis alle 7 forfattere av denne artikkelen] (2018). Enhancing the saliency of climate services for marine mobility sectors in European Arctic seas (SALIENSEAS): Stakeholder Advisory Group Workshop Report. Wageningen University. Fulltekst i vitenarkiv

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