Open WL Archief (OWA)

Over het archief

Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.

Basisinformatie over ‘Open Access to scholarly information'.

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Koninklijk Meteorologisch Instituut (KMI)

www.kmi.be

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Engelse naam: Royal Meteorological Institute Thesaurustermen (4) : Geofysica; Klimatologie; Meteorologie; Weersvoorspelling Adres: Ringlaan 3 1180 Brussel België		Personen | Instituten | Publicaties | Dataset
Type: Wetenschappelijk

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¹ Directeur: Hoofd van de onderzoeksgroep/afdeling

² Mariene onderzoeker: Is werkzaam in deze groep en treedt op als (co)auteur in minstens één mariene publicatie in de laatste 5 jaar.

³ Gespecialiseerd personeel: Levert administratieve of technische ondersteuning aan het zeewetenschappelijk onderzoek.

Personen (24)

Top | Instituten | Publicaties | Dataset

Gellens, Daniel 1 Baguis, Pierre Baudrez, Edward Clerbaux, Nicolas De Cruz, Lesley Deckmyn, Alex Decoster, Ilse Delcloo, Andy Demaeyer, Jonathan Demarée, Gaston Dewitte, Steven Hamdi, Rafiq Ipe, Alessandro Laffineur, Quentin Mangold, Alexander Moraux, Arthur Moutier, William Nevens, Stijn Spassov, Simo Termonia, Piet Van Malderen, Roeland Vannitsem, Stéphane Velázquez-Blazquez, Almudena Verstraeten, Willem

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Geassocieerd aan een deelinstituut (11)

De Muer, Dirk Debontridder, Luc Francotte, Magda Hus, Jozef Quinet, Alfred Rasson, Jean Remory, Katrien Roulin, Emmanuel Rouvas-Nicolis, Catherine Van Malderen, Elise Warnant, René

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Voormalig geassocieerde personen (6)

De Paepe, Bart Malcorps, H. Solé-Pomies, Roman Tornow, Florian Urbain, Manon Van Schaeybroeck, Bert

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Deelinstituten (5)	Top | Personen | Publicaties | Dataset
Koninklijk Meteorologisch Instituut; Geofysica (KMI), meer Koninklijk Meteorologisch Instituut; Informatieverwerking (KMI), meer Koninklijk Meteorologisch Instituut; Meteorologisch onderzoek en ontwikkeling (KMI), meer Koninklijk Meteorologisch Instituut; Operationeel departement (KMI), meer Koninklijk Meteorologisch Instituut; Waarnemingen (KMI), meer

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Abstract:

Het Koninklijk Meteorologisch Instituut (KMI) zet actief in op onderzoek dat de nauwkeurigheid van de weersvoorspellingen verbetert. Daarnaast wordt eveneens onderzoek verricht op het gebied van het klimaat, de waterkringloop (hydrologie), het aardmagnetisme en telemetingen. Het mariene aspect van het onderzoek richt zich in de eerste plaats op gekoppelde oceaan-atmosfeer modellen maar ook op remote sensing technieken met betrekking tot de oceanen.

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Publicaties (107)

Top | Personen | Instituten | Dataset

( 62 peer reviewed ) opsplitsen filter Cini, M.; Zappa, G.; Ragone, F.; Corti, S. (2024). Simulating AMOC tipping driven by internal climate variability with a rare event algorithm. npj Climate and Atmospheric Science 7(1): 31. https://dx.doi.org/10.1038/s41612-024-00568-7, meer Dörr, J.; Årthun, M.; Docquier, D.; Li, C.; Eldevik, T. (2024). Causal links between sea‐ice variability in the Barents‐Kara Seas and oceanic and atmospheric drivers. Geophys. Res. Lett. 51(7): e2024GL108195. https://dx.doi.org/10.1029/2024gl108195, meer Van Overmeiren, P.; Demeestere, K.; De Wispelaere, P.; Gili, S.; Mangold, A.; De Causmaecker, K.; Mattielli, N.; Delcloo, A.; Van Langenhove, H.; Walgraeve, C. (2024). Four years of active sampling and measurement of atmospheric polycyclic aromatic hydrocarbons and oxygenated polycyclic aromatic hydrocarbons in Dronning Maud Land, East Antarctica. Environ. Sci. Technol. 58(3): 1577-1588. https://dx.doi.org/10.1021/acs.est.3c06425, meer Wang, G.X.; Yuan, X.L.; Jing, C.Q.; Hamdi, R.; Ochege, F.U.; Dong, P.; Shao, Y.Q.; Qin, X.Y. (2024). The decreased cloud cover dominated the rapid spring temperature rise in arid central Asia over the period 1980-2014. Geophys. Res. Lett. 51(2): e2023GL107523. https://dx.doi.org/10.1029/2023GL107523, meer Wunderling, N.; von der Heydt, A.S.; Aksenov, Y.; Barker, S.; Bastiaansen, R.; Brovkin, V.; Brunetti, M.; Couplet, V.; Kleinen, T.; Lear, C.H.; Lohmann, J.; Roman-Cuesta, R.M.; Sinet, S.; Swingedouw, D.; Winkelmann, R.; Anand, P.; Barichivich, J.; Bathiany, S.; Baudena, M.; Bruun, J.T.; Chiessi, C.M.; Coxall, H.K.; Docquier, D.; Donges, J.F.; Falkena, S.K.J.; Klose, A.K.; Obura, D.; Rocha, J.; Rynders, S.; Steinert, N.J.; Willeit, M. (2024). Climate tipping point interactions and cascades: a review. Earth System Dynamics 15(1): 41-74. https://dx.doi.org/10.5194/esd-15-41-2024, meer Akkermans, T.; Clerbaux, N. (2023). Validation of the CLARA-A3 top-of-atmosphere radiative fluxes climate data record. J. Atmos. Oceanic. Technol. 40(11): 1523-1539. https://dx.doi.org/10.1175/JTECH-D-23-0065.1, meer Docquier, D.; Ponsoni, L.; Simon, A.; Piola, A.R. (2023). Editorial: Sea ice - ocean interactions. Front. Mar. Sci. 10: 1323361. https://dx.doi.org/10.3389/fmars.2023.1323361, meer Docquier, D.; Vannitsem, S.; Bellucci, A. (2023). The rate of information transfer as a measure of ocean–atmosphere interactions. Earth System Dynamics 14(3): 577-591. https://dx.doi.org/10.5194/esd-14-577-2023, meer Hamilton, O.; Demaeyer, J.; Vannitsem, S.; Crucifix, M. (2023). Multistability in a coupled ocean-atmosphere reduced‐order model: nonlinear temperature equations. Q. J. R. Meteorol. Soc. 149(757): 3423-3439. https://dx.doi.org/10.1002/qj.4564, meer Vannitsem, S. (2023). Impact of tropical teleconnections on the long-range predictability of the atmosphere at midlatitudes: a reduced-order multi-scale model perspective. Journal of Physics: Complexity 4(4): 045006. https://dx.doi.org/10.1088/2632-072X/ad04e8, meer Xavier, A.K.; Varikoden, H.; Babu, C.A.; Reshma, T. (2023). Influence of PDO and ENSO with Indian summer monsoon rainfall and its changing relationship before and after 1976 climate shift. Clim. Dyn. 61: 5465-5482. https://dx.doi.org/10.1007/s00382-023-06865-w, meer Yimer, E.A.; Bailey, R.T.; Van Schaeybroeck, B.; Van de Vyver, H.; Villani, L.; Nossent, J.; Van Griensven, A. (2023). Regional evaluation of groundwater-surface water interactions using a coupled geohydrological model (SWAT+gwflow). Journal of Hydrology: Regional Studies 50: 101532. https://dx.doi.org/10.1016/j.ejrh.2023.101532, meer de Graaff, S.J.; Percival, L.M.E.; Kaskes, P.; Déhais, T.; de Winter, N.J.; Jansen, M.N.; Smit, J.; Sinnesael, M.; Vellekoop, J.; Sato, H.; Ishikawa, A.; Spassov, S.; Claeys, P.; Goderis, S. (2022). Geochemical records of the end-Triassic Crisis preserved in a deep marine section of the Budva Basin, Dinarides, Montenegro. Palaeogeogr. Palaeoclimatol. Palaeoecol. 606: 111250. https://dx.doi.org/10.1016/j.palaeo.2022.111250, meer Delhaye, S.; Fichefet, T.; Massonnet, F.; Docquier, D.; Msadek, R.; Chripko, S.; Roberts, C.; Keeley, S.; Senan, R. (2022). Summertime changes in climate extremes over the peripheral Arctic regions after a sudden sea ice retreat. Weather and Climate Dynamics 3(2): 555-573. https://dx.doi.org/10.5194/wcd-3-555-2022, meer Docquier, D.; Vannitsem, S.; Ragone, F.; Wyser, K.; Liang, X.S. (2022). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Geophys. Res. Lett. 49(9): e2021GL095892. https://dx.doi.org/10.1029/2021GL095892, meer Fuentes-Franco, R.; Koenigk, T.; Docquier, D.; Graef, F.; Wyser, K. (2022). Exploring the influence of the North Pacific Rossby wave sources on the variability of summer atmospheric circulation and precipitation over the Northern Hemisphere. Clim. Dyn. 59: 2025-2039. https://dx.doi.org/10.1007/s00382-022-06194-4, meer He, H.; Hamdi, R.; Luo, G.; Cai, P.; Zhang, M.; Shi, H.; Li, C.; Termonia, P.; De Maeyer, P.; Kurban, A. (2022). Numerical on the climatic effect of the Aral Sea. Atmos. Res. 268: 105977. https://dx.doi.org/10.1016/j.atmosres.2021.105977, meer Van Malderen, R.; Pottiaux, E.; Stankunavicius, G.; Beirle, S.; Wagner, T.; Brenot, H.; Bruyninx, C.; Jones, J. (2022). Global spatiotemporal variability of integrated water vapor derived from GPS, GOME/SCIAMACHY and ERA-Interim: annual cycle, frequency distribution and linear trends. Remote Sens. 14(4): 1050. https://dx.doi.org/10.3390/rs14041050, meer Vannitsem, S.; Liang, X.S. (2022). Dynamical dependencies at monthly and interannual time scales in the climate system: study of the North Pacific and Atlantic regions. Tellus, Ser. A, Dyn. meteorol. oceanogr. 74(1): 141-158. https://dx.doi.org/10.16993/tellusa.44, meer Alberti, T.; Donner, R.V.; Vannitsem, S. (2021). Multiscale fractal dimension analysis of a reduced order model of coupled ocean-atmosphere dynamics. Earth System Dynamics 12(3): 837-855. https://dx.doi.org/10.5194/esd-12-837-2021, meer Docquier, D.; Koenigk, T. (2021). A review of interactions between ocean heat transport and Arctic sea ice. Environ. Res. Lett. 16(12): 123002. https://dx.doi.org/10.1088/1748-9326/ac30be, meer Haesaerts, P.; Hus, J.; Dupuis, C. (2021). Les nappes alluviales de la Basse Somme revisitées. L'Anthropologie 125(3): 102899. https://dx.doi.org/10.1016/j.anthro.2021.102899, meer Moraux, A.; Dewitte, S.; Cornelis, B.; Munteanu, A. (2021). A deep learning multimodal method for precipitation estimation. Remote Sens. 13(16): 3278. https://dx.doi.org/10.3390/rs13163278, meer Vannitsem, S.; Demaeyer, J.; Ghil, M. (2021). Extratropical low-frequency variability with ENSO forcing: a reduced-order coupled model study. J. Adv. Model. Earth Syst. 13(6): e2021MS002530. https://dx.doi.org/10.1029/2021MS002530, meer Wagner, T.; Beirle, S.; Dörner, S.; Borger, C.; Van Malderen, R. (2021). Identification of atmospheric and oceanic teleconnection patterns in a 20-year global data set of the atmospheric water vapour column measured from satellites in the visible spectral range. Atmos. Chem. Phys. 21(7): 5315-5353. https://hdl.handle.net/10.5194/acp-21-5315-2021, meer Zhang, L.; Van Schaeybroeck, B.; Caluwaerts, S.; Termonia, P.; Van de Weghe, N. (2021). Analyzing and visualizing spatiotemporal patterns of El Niño teleconnections using attribute trajectories. Atmosphere 12(4): 414. https://dx.doi.org/10.3390/atmos12040414, meer Parrish, D.D.; Derwent, R.G.; Steinbrecht, W.; Stübi, R.; Van Malderen, R.; Steinbacher, M.; Trickl, T.; Ries, L.; Xu, X. (2020). Zonal similarity of long-term changes and seasonal cycles of baseline ozone at northern midlatitudes. JGR: Atmospheres 125(13): e2019JD031908. https://hdl.handle.net/10.1029/2019JD031908, meer Tao, L.; Duan, W.; Vannitsem, S. (2020). Improving forecasts of El Niño diversity: a nonlinear forcing singular vector approach. Clim. Dyn. 55(3-4): 739-754. https://hdl.handle.net/10.1007/s00382-020-05292-5, meer Tondeur, M.; Carrassi, A.; Vannitsem, S.; Bocquet, M. (2020). On temporal scale separation in coupled data assimilation with the ensemble Kalman filter. Journal of Statistical Physics 179(5-6): 1161-1185. https://hdl.handle.net/10.1007/s10955-020-02525-z, meer Vannitsem, S.; Duan, W. (2020). On the use of near-neutral Backward Lyapunov Vectors to get reliable ensemble forecasts in coupled ocean-atmosphere systems. Clim. Dyn. 55(5-6): 1125-1139. https://hdl.handle.net/10.1007/s00382-020-05313-3, meer Dewitte, S.; Clerbaux, N.; Cornelis, J. (2019). Decadal changes of the reflected solar radiation and the earth energy imbalance. Remote Sens. 11(6): 663. https://dx.doi.org/10.3390/rs11060663, meer Faranda, D.; Messori, G.; Vannitsem, S. (2019). Attractor dimension of time-averaged climate observables: insights from a low-order ocean-atmosphere model. Tellus, Ser. A, Dyn. meteorol. oceanogr. 71(1): 1-11. https://dx.doi.org/10.1080/16000870.2018.1554413, meer Herenz, P.; Wex, H.; Mangold, A.; Laffineur, Q.; Gorodetskaya, I.V.; Fleming, Z.L.; Panagi, M.; Stratmann, F. (2019). CCN measurements at the Princess Elisabeth Antarctica research station during three austral summers. Atmos. Chem. Phys. 19(1): 275-294. https://dx.doi.org/10.5194/acp-19-275-2019, meer Pas, D.; Da Silva, A.-C.; Poulain, G.; Spassov, S.; Boulvain, F. (2019). Magnetic susceptibility record in Paleozoic succession (Rhenohercynian Massif, Northern Europe) - Disentangling sea level, local and diagenetic impact on the magnetic records. Front. Earth Sci. 7: 00341. https://dx.doi.org/10.3389/feart.2019.00341, meer Vannitsem, S.; Dalaiden, Q.; Goosse, H. (2019). Testing for dynamical dependence: application to the surface mass balance over Antarctica. Geophys. Res. Lett. 46(21): 12125-12135. https://dx.doi.org/10.1029/2019GL084329, meer Vannitsem, S.; Solé‐Pomies, R.; De Cruz, L. (2019). Routes to long-term atmospheric predictability in reduced-order coupled ocean-atmosphere systems: impact of the ocean basin boundary conditions. Q. J. R. Meteorol. Soc. 145(723): 2791-2805. https://dx.doi.org/10.1002/qj.3594, meer Verstraeten, G.J.M.; Verstraeten, W.W. (2019). Eco-development response to climate change and the isostatic uplift of southwestern Finland. Sustainability 11(21): 6098. https://dx.doi.org/10.3390/su11216098, meer Demaeyer, J.; Vannitsem, S. (2018). Comparison of stochastic parameterizations in the framework of a coupled ocean-atmosphere model. Nonlinear Process Geophys. 25(3): 605-631. https://dx.doi.org/10.5194/npg-25-605-2018, meer Duforet-Gaurier, L.; Dessailly, D.; Moutier, W.; Loisel, H. (2018). Assessing the impact of a two-layered spherical geometry of phytoplankton cells on the bulk backscattering ratio of marine particulate matter. Applied Sciences-Basel 8(12): 2689. https://dx.doi.org/10.3390/app8122689, meer Souverijns, N.; Gossart, A.; Gorodetskaya, I.V.; Lhermitte, S.; Mangold, A.; Laffineur, Q.; Delcloo, A.; van Lipzig, N.P.M. (2018). How does the ice sheet surface mass balance relate to snowfall? Insights from a ground-based precipitation radar in East Antarctica. Cryosphere 12(6): 1987-2003. https://hdl.handle.net/10.5194/tc-12-1987-2018, meer Vannitsem, S.; Ekelmans, P. (2018). Causal dependences between the coupled ocean-atmosphere dynamics over the tropical Pacific, the North Pacific and the North Atlantic. Earth System Dynamics 9(3): 1063-1083. https://dx.doi.org/10.5194/esd-9-1063-2018, meer De Niel, J.; Demarée, G.; Willems, P. (2017). Weather typing‐based flood frequency analysis verified for exceptional historical events of past 500 years along the Meuse river. Water Resour. Res. 53(10): 8459-8474. https://dx.doi.org/10.1002/2017WR020803, meer Delpomdor, F.R.A.; Devleeschouwer, X.; Spassov, S.; Préat, A. (2017). Stratigraphic correlations in mid- to late-Proterozoic carbonates of the Democratic Republic of Congo using magnetic susceptibility. Sediment. Geol. 351: 80-101. https://dx.doi.org/10.1016/j.sedgeo.2017.02.007, meer Tornow, F.; Clerbaux, N.; Ipe, A.; Urbain, M. (2017). An improved method to estimate reference cloud-free images for the visible band of geostationary satellites. Int. J. Remote Sens. 38(23): 7220-7241. https://dx.doi.org/10.1080/01431161.2017.1372859, meer Vannitsem, S.; Ghil, M. (2017). Evidence of coupling in ocean-atmosphere dynamics over the North Atlantic. Geophys. Res. Lett. 44(4): 2016-2026. https://dx.doi.org/10.1002/2016GL072229, meer De Cruz, L.; Demaeyer, J.; Vannitsem, S. (2016). The Modular Arbitrary-Order Ocean-Atmosphere Model: MAOOAM v1.0. Geosci. Model Dev. 9(8): 2793-2808. https://dx.doi.org/10.5194/gmd-9-2793-2016, meer Vannitsem, S.; Lucarini, V. (2016). Statistical and dynamical properties of covariant lyapunov vectors in a coupled atmosphere-ocean model-multiscale effects, geometric degeneracy, and error dynamics. Journal of Physics A-Mathematical and Theoretical 49(22). https://dx.doi.org/10.1088/1751-8113/49/22/224001, meer Barth, A.; Canter, M.; Van Schaeybroeck, B.; Vannitsem, S.; Massonnet, F.; Zunz, V.; Mathiot, P.; Alvera-Azcárate, A.; Beckers, J.-M. (2015). Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean. Ocean Modelling 93: 22-39. https://dx.doi.org/10.1016/j.ocemod.2015.07.011, meer Lanckriet, S.; Frankl, A.; Adgo, E.; Termonia, P.; Nyssen, J. (2015). Droughts related to quasi-global oscillations: a diagnostic teleconnection analysis in North Ethiopia. Int. J. Climatol. 35(7): 1534-1542. https://dx.doi.org/10.1002/joc.4074, meer Vannitsem, S. (2015). The role of the ocean mixed layer on the development of the North Atlantic Oscillation: a dynamical system's perspective. Geophys. Res. Lett. 42(20): 8615-8623. https://dx.doi.org/10.1002/2015GL065974, meer Vannitsem, S.; Demaeyer, J.; De Cruz, L.; Ghil, M. (2015). Low-frequency variability and heat transport in a low-order nonlinear coupled ocean-atmosphere model. Physica. D, Nonlinear phenomena 309: 71-85. https://dx.doi.org/10.1016/j.physd.2015.07.006, meer Vannitsem, S. (2014). Dynamics and predictability of a low-order wind-driven ocean-atmosphere coupled model. Clim. Dyn. 42(7-8): 1981-1998. dx.doi.org/10.1007/s00382-013-1815-8, meer Vannitsem, S. (2014). Stochastic modelling and predictability: analysis of a low-order coupled ocean-atmosphere model. Philos. Trans. - Royal Soc., Math. Phys. Eng. Sci. 372(2018): 20130282. https://dx.doi.org/10.1098/rsta.2013.0282, meer Vannitsem, S.; De Cruz, L. (2014). A 24-variable low-order coupled ocean-atmosphere model: OA-QG-WS v2. Geosci. Model Dev. 7(2): 649-662. https://dx.doi.org/10.5194/gmd-7-649-2014, meer Decoster, I.; Clerbaux, N.; Baudrez, E.; Dewitte, S.; Ipe, A.; Nevens, S.; Velazquez Blazquez, A.; Cornelis, J. (2013). A Spectral Aging Model for the Meteosat-7 Visible Band. J. Atmos. Oceanic. Technol. 30(3): 496-509. dx.doi.org/10.1175/JTECH-D-12-00124.1, meer Campioli, M.; Vincke, C.; Jonard, M.; Kint, V.; Demarée, G.; Ponette, Q. (2012). Current status and predicted impact of climate change on forest production and biogeochemistry in the temperate oceanic European zone: review and prospects for Belgium as a case study. J. For. Res. 17(1): 1-18. https://dx.doi.org/10.1007/s10310-011-0255-8, meer Smet, G.; Termonia, P.; Deckmyn, A. (2012). Added economic value of limited area multi-EPS weather forecasting applications. Tellus, Ser. A, Dyn. meteorol. oceanogr. 64: 1-20. dx.doi.org/10.3402/tellusa.v64i0.18901, meer De Paepe, B.; Ignatov, A.; Dewitte, S.; Ipe, A. (2008). Aerosol retrieval over ocean from SEVIRI for the use in GERB Earth's radiation budget analyses. Remote Sens. Environ. 112(5): 2455-2468. https://dx.doi.org/10.1016/j.rse.2007.11.005, meer Vannitsem, S. (2008). Dynamical properties of MOS forecasts: analysis of the ECMWE operational forecasting system. Weather and Forecasting 23(5): 1032-1043. https://dx.doi.org/10.1175/2008WAF2222126.1, meer Demarée, G. (2006). The catastrophic floods of February 1784 in and around Belgium - a Little Ice Age event of frost, snow, river ice... and floods. Hydrol. Sci. J. 51(5): 878-898. http://dx.doi.org/10.1623/hysj.51.5.878, meer Bertrand, C.; Loutre, M.F.; Crucifix, M.; Berger, A. (2002). Climate of the last millennium: a sensitivity study. Tellus, Ser. A, Dyn. meteorol. oceanogr. 54(3): 221-244. dx.doi.org/10.1034/j.1600-0870.2002.00287.x, meer Tison, J.-L.; Khazendar, A.; Roulin, E. (2001). A two-phase approach to the simulation of the combined isotope/salinity signal of marine ice. J. Geophys. Res. 106(C12): 31387-31401. https://dx.doi.org/10.1029/2000JC000207, meer Hamilton, O.; Demaeyer, J.; Xavier, A.; Vannitsem, S. (2024). The impact of model resolution on variability in a coupled land atmosphere model, in: EGU General Assembly 2024. Vienna, Austria & Online, 14-19 April 2024. pp. EGU24-9253. https://dx.doi.org/10.5194/egusphere-egu24-9253, meer Cini, M.; Zappa, G.; Corti, S.; Ragone, F. (2023). Simulating spontaneous AMOC collapses with a Rare Event Algorithm, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-8099. https://dx.doi.org/10.5194/egusphere-egu23-8099, meer Demarée, G.R. (2023). Les observations météorologiques instrumentales à l'École centrale de Bruges. Ciel et Terre 139(3): 73-82, meer Demarée, G.R.; Tagami, Y. (2023). William Robert Broughton's voyage of discovery to the North Pacific and expedition of the Strait of Tartary/Mamiya Strait. Okhotsk Sea and Polar Oceans Research 7: 1-6, meer Docquier, D.; Vannitsem, S.; Bellucci, A.; Frankignoul, C. (2023). The rate of information transfer as a measure of ocean-atmosphere interactions, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-4940. https://dx.doi.org/10.5194/egusphere-egu23-4940, meer Hamilton, O.; Demaeyer, J.; Vannitsem, S.; Crucifix, M. (2023). Multistability in a coupled ocean-atmosphere reduced order model: non-linear temperature equations, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-5496. https://dx.doi.org/10.5194/egusphere-egu23-5496, meer Kruschke, T.; Karami, M.P.; Docquier, D.; Schenk, F.; Fuentes-Franco, R.; Willén, U.; Wang, S.; Wyser, K.; Fladrich, U.; Koenigk, T. (2023). A simple coupled assimilation approach for improved initialization of decadal climate predictions, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-8750. https://dx.doi.org/10.5194/egusphere-egu23-8750, meer Ragone, F.; Bastiaansen, R.; Lembo, V.; Lucarini, V. (2023). Analysis of proxy response and sensitivities in a coupled general circulation model, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-16258. https://dx.doi.org/10.5194/egusphere-egu23-16258, meer Sauer, J.; Ragone, F.; Massonnet, F.; Demaeyer, J.; Zappa, G. (2023). Drivers and predictability of extreme summer Arctic sea ice reduction with rare event simulation methods, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-7813. https://dx.doi.org/10.5194/egusphere-egu23-7813, meer Vanderborght, E.; Demeayer, J.; Dijkstra, H.; Manucharyan, G.; Moon, W. (2023). Physics of eddy memory kernel of a baroclinic midlatitude atmosphere, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-3282. https://dx.doi.org/10.5194/egusphere-egu23-3282, meer Demarée, G.; Olsthoorn, T.; Mailier, P.; Ogilvie, A.E. (2022). A meteorological manuscript for Labrador/Nunatsiavut concerning May 1872-June 1873 found in Moravian missionary records. Okhotsk Sea and Polar Oceans Research 6: 1-6, meer Demarée, G.R. (2022). Les observations météorologiques mensuelles de Yangambi Poste (1910-1939) au Congo. Ciel et Terre 137: 14-19, meer Decleir, H.; Demarée, G. (2021). The Belgica Antarctic expedition, 1897-1899 - A view, 120 years later. Okhotsk Sea and Polar Oceans Research 5: 7-14. https://dx.doi.org/doi.org/10.57287/ospor.5.7, meer Demarée, G.R. (2021). Une série météorologique inconnue à Bruges au milieu du XIXème siècle. Ciel et Terre 137(4): 98-102, meer Demarée, G.R.; Bouwhuis, B. (2021). A la découverte du début des observations météorologiques instrumentales en Belgique…. Ciel et Terre 137(3): 66-73, meer Van Schaeybroeck, B.; Mendoza Paz, S.; Willems, P.; Termonia, P.; van Lipzig, N.; van Ypersele, J.P.; Fettweis, X.; De Ridder, K.; Stavrakou, T.; Lacroix, G.; Pottiaux, E. (2021). Coherent Integration of climate projections into Climate ADaptation plAnning tools for BElgium. Final Report. (BRAIN-be - (Belgian Research Action through Interdisciplinary Networks)). Belgian Science Policy Office: Brussels. 21 pp., meer Demarée, G.; Tagami, Y.; Mailier, P.; Ogilvie, A.E.; Mikami, T. (2020). Arctic meteorological and geographical observations on Dutch whaling vessels in 1758, 1759 and 1760. 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Vlaamse Milieumaatschappij (VMM)/KU Leuven/VITO/KMI: Aalst. ISBN 9789491385469. 147 pp., meer Brouyaux, F.; De Troch, R.; Hamdi, R.; Roulin, E.; Tricot, Ch. (2015). Hulp bij het beslissingsproces in meteorologie en klimatologie, in: Tricot, C. et al. Oog voor het klimaat. pp. 71-86, meer Dewitte, S.; De Backer, H.; Van Malderen, R.; Mangold, A.; Hus, J. (2015). Waarnemingen die bijdragen tot het onderzoek naar de mechanismen achter de klimaatverandering, in: Tricot, C. et al. Oog voor het klimaat. pp. 30-51, meer Tricot, C.; Vandiepenbeeck, M.; Van de Vyver, H.; Debontridder, L.; Dewitte, S.; De Backer, H.; Van Malderen, R.; Mangold, A.; Hus, J.; Vannitsem, S.; de Troch, R.; Hamdi, R.; Brouyaux, F.; Roulin, E. (2015). Oog voor het klimaat. KMI: Brussel. 87 pp., meer Vannitsem, S.; De Troch, R.; Hamdi, R. (2015). Onderzoek over klimaatvoorspelling en klimaatmodellering, in: Tricot, C. et al. Oog voor het klimaat. pp. 52-75, meer Dehenauw, D. (2013). 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