Journal papers

• Shi, Y., Punzo, A., Otneim, H., Maruotti, A. (2025) Hidden Semi-Markov Models for Rainfall-Related Insurance Claims. Insurance, Mathematics and Economics, 120:91-106, doi: 10.1016/j.insmatheco.2024.11.008

• Hølleland, S., Berentsen, G. D., Otneim, H. and Solbrekke, I. M. (2025) Optimal allocation of 30 GW offshore wind power in the Norwegian economic zone. Wind Energy Science, doi: 10.5194/wes-10-293-2025

• Nair, A.S., Counillon, F., Keenlyside, N. (2024) Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation. Climate Dynamics 62:10483–10502, doi: 10.1007/s00382-024-07444-3

• Sospedra-Alfonso, R., and Coauthors, (2024) Decadal prediction centers prepare for a major volcanic eruption. Bull. Amer. Meteor. Soc., in press, doi: 10.1175/BAMS-D-23-0111.1.

• Ono, K., Katara, I., Eliasen, S. K., Broms, C., Campbell, A., dos Santos Schmidt, T. C., Egan, A., Hølleland, S. N., Jacobsen, J. A., Jansen, T., Mackinson, S ., Mousing, E. A., Nash, R. D. M., Nikolioudakis, N., Nnanatu, C., Nøttestad, L., Singh, W., Slotte, A., Wieland, K., Olafsdottir, A. H. (2024) Effect of environmental drivers on the spatiotemporal distribution of mackerel at age in the Nordic Seas during 2010−20, ICES Journal of Marine Science, 81 (7): 1282–1294, doi: 10.1093/icesjms/fsae087.

• Fuentes, G., Wallace, S. W., & Ådland, R. O. (2024) The effects of waiting times on the bunkering decision for tramp ships. Maritime Transport Research, 6: 100106, doi: 10.1016/j.martra.2024.100106.

• Solbrekke, I. M., Sorteberg, A. (2024) Norwegian offshore wind power—Spatial planning using multi-criteria decision analysis (2024) Wind Energy, 27(1): 5-32. doi:10.1002/we.2871

• Boljka, L., Bethke, I., Tao, D., Li, C. (2024) Upstream influence of midlatitude jeg stream biases in boral summer. Atmospheric Science Letters, e1272, doi: 10.1002/asl.1272.

• Bremer, S., Meisch, S., Hempel, M., Dunn-Sigouin, E. (2024) Adapting seasonal beekeeping patterns in western Norway. Time & Society. doi: 10.1177/0961463X2412750

• Silva, E., Brajard, J., Counillon, F., Pettersson, L. H., Naustvoll, L. (2024) Probabilistic models for harmful algae: application to the Norwegian Coast. Environmental Data Science, 3, 2024, e12, doi:10.1017/eds.2024.11

• Kolstad, E. W., O’Reilly, C. (2024) Causal oceanic feedbacks onto the winter NAO. Climate Dynamics, 62, 4223-4236, doi: 10.1007/s00382-024-07128-y

• Ogilvie, A. E. J., King, L A., Keenlyside, N., Counillon F. et al.(2024) Recent ventures in interdisciplinary Arctic research: The ARCPATH Project. Advances in Atmospheric Sciences, doi: 10.1007/s00376-023-3333-x.

• Garcia-Oliva, L., Counillon, F., Bethke, I., Keenlyside, N. (2024) Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM. Climate Dynamics, 62: 5425-5444, doi: 10.1007/s00382-024-07170-w.

• Iversen, E. K., Grimsrud, K., Lindhjem, H. Navrud, S. (2024) Mountains of trouble: Accounting for environmental cost of land use change from tourism development. Tourism Management. 102: 104870, doi: 10.1016/j.tourman.2023.104870

• Iversen, E. K., Dugstad, A. (2024) Spatial dimensions in stated preference valuation: The role of place attachment. Land Use Policy, 136: 106971, doi: 10.1016/j.landusepol.2023.106971

• Afargan-Gerstman, H., Büeler, D., Wulff, C. O. W., Sprenger, M., Domeisen, D. I.V. (2024) Stratospheric influence on the winter North Atlantic storm track in subseasonal reforecasts. Weather and Climate Dynamics, 5, 231-249, doi: 10.5194/wcd-5-231-2024

• Polkova, I., Swingedouw, D., Hermanson, L., Köhl, A., Stammer, D., Smith, D., Kröger, J., Bethke, I., Yang X., Zhang, L., Nicolì, D., Athanasiadis, P. J., Karami, M. P., Pankatz, K., Pohlmann, H., Wu, B., Bilbao, R., Ortega, P., Yang, S., Sospedra-Alfonso, R., Merryfield, W., Kataoka, T., Tatebe, H., Imada, Y., Ishii M., Matear, R. J. (2023) Initialization shock in the ocean circulation reduces skill in decadal predictions of the North Atlantic subpolar gyre. Frontiers in Climate, 5, doi: 10.3389/fclim.2023.1273770

• Rivas Camargo, D. A.,  Counillon, F. S.,  Keenlyside, N. S. (2023) On dynamical downscaling of ENSO-induced oceanic anomalies off Baja California Peninsula, Mexico: role of the air-sea heat flux. Frontiers in Marine Science, 10, doi: 10.3389/fmars.2023.1179649

• Tedesco, P. S, Lenkoski, F. A., Bloomfield, H. C., Sillmann, J. (2023) Gaussian copula modeling of extreme cold and weak-wind events over Europe conditioned on winter weather regimes. Environmental Research Letters, 18, doi: 1748-9326
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• Paasche, Ø. (2023) Om betydningen av et nytt klimaregime. Nytt Norsk Tidsskrift, 40: 215-223, doi: 10.18261/nnt.40.2-3.12

• King, M. P., Keenlyside, N. S. & Li, C. (2023) ENSO teleconnections in terms of non-NAO and NAO atmospheric variability. Climate Dynamics, 61: 2717–2733, doi: 10.1007/s00382-023-06697-8

• O’Kane, T. J. et al. (2023) Recent applications and potential of near-term (interannual to decadal) climate predictions Frontiers in Climate, 5,  doi: 10.3389/fclim.2023.1121626

• Brajard, J. et al.  (2023) Enhancing seasonal forecast skills by optimally weighting the ensemble from fresh data Weather and Forecasting, 38: 1241-1252, doi: 10.1175/WAF-D-22-0166.1

• Silva, E. et al (2023) Forecasting harmful algae blooms: application to Dinophysis acuminata in northern Norway Harmful Algae, 126: 102442, doi: 10.1016/j.hal.2023.102442.

• Counillon, F. et al (2023) Framework for an ocean-connected supermodel of the Earth System. Journal of Advances in Modeling Earth Systems, 15, doi:10.1029/2022MS003310

• Fransner et al. (2023) Phytoplankton abundance in the Barents Sea is predictable up to five years in advance Nature Communications Earth & Environment, 4: 114, doi: 10.1038/s43247-023-00791-9

• Gao, S., Schwinger, J., Tjiputra, J., Bethke, I. et al. (2023) Riverine impact on future projections of marine primary production and carbon uptake. Biogeosciences, 20: 93-119, doi: 10.5194/bg-20-93-2023.

• Roksvåg, T., Lenkoski, A., Scheuerer, M., Heinrich-Mertsching, C. & Thorarinsdottir, T.L. (2022) Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods. Quarterly Journal of the Royal Meteorological Society, 1–20. doi: 10.1002/qj.4403

• Kolstad, E. W., Lee, S. H., Butler, A. H., Domeisen, D. I. V., & Wulff, C. O. (2022). Diverse surface signatures of stratospheric polar vortex anomalies. Journal of Geophysical Research: Atmospheres, 127, e2022JD037422. doi: 10.1029/2022JD037422

• Hovdahl, I. (2022) The deadly effect of day-to-day temperature variation in the United States. Environ. Res. Lett. 17 104031. doi: 10.1088/1748-9326/ac9297

• Barthélémy, S., Brajard, J., Bertino, L., & Counillon, F. (2022) Super-resolution data assimilation. Ocean Dynamics, 72: 661-678, doi: 10.1007/s10236-022-01523-x

• Berentsen, G. D., Bulla, j., Maruotti, A, Støve, B. (2022) Modelling clusters of corporate defaults: Regime-switching models significantly reduce the contagion source. Journal of the Royal Statistical Society: Series C, 71: 698-722, doi: 10.1111/rssc.12551.

• Kolstad, E. W., & MacLeod, D. (2022) Lagged Oceanic Effects on the East African Short Rains. Climate Dynamics, doi: 10.1007/s00382-022-06176-6.

• Domeisen, D. I. V., White, C. J., Afargan-Gerstman, H., et al. (2022) Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe. Bulletin of the American Meteorological Society, 103: E1473-E1501, doi: 10.1175/BAMS-D-20-0221.1

• Lawrence, Z., Abalos, M., Ayarzagüena, B., Barriopedro, D. E., et al. (2022) Quantifying stratospheric biases and identifying their potential sources in subseasonal forecast systems. Weather and Climate Dynamics. doi: 10.5194/wcd-3-977-2022.

• Meisch, S., M. Hempel, S. R. Bremer, E. Dunn-Sigouin (2022) Changing beekeeping seasons in Vestland, Norway. In Transforming food systems: ethics, innovation and responsibility. Editors: D. Bruce and A. Bruce,  p 69-75. doi: 10.3920/978-90-8686-939-8_9.

• Yuan, Q., Thorarinsdottir, T. L., Beldring, S., Wong, W. K., Xu, C.-Y. (2021) Bridging the scale gap: obtaining high-resolution stochastic simulations of gridded daily precipitation in a future climate. Hydrology and Earth System Sciences, 25: 5259-5275, doi: 10.5194/hess-25-5259-2021.

• Bethke, I., Wang, Y., Counillon, F. S., Keenlyside, N. S., Kimmritz, M., Fransner, F., Samuelsen, A., Langehaug, H. R., Svendsen, L., Chiu, P-G., Passos, L. G., Bentsen, M., Guo, C., Gupta, A. K., Tjiputra, J., Kirkevåg, A., Oliviè, D. J. L., Seland, Ø., Vågane, J. S., Fan, Y., Eldevik, T. (2021) NorCPM1 and its contribution to CMIP6 DCPP.  Geoscientific Model Development, 14: 7073-7116, doi: 10.5194/gmd-14-7073-2021.

• Silva., E., Counillon, F.,  Brajard, J., Korosov, A., Pettersson, L. H.,  Samuelsen, A., &  Keenlyside, N. (2021) Twenty-One Years of Phytoplankton Bloom Phenology in the Barents, Norwegian, and North Seas. Frontiers in Marine Science, 8: 746327, doi: 10.3389/fmars.2021.746327.

• Kolstad, E. W., MacLeod, D., & Demissie, T. D. (2021) Drivers of subseasonal forecasting of the East African short rains. Geophysical Research Letters, 48, e2021GL093292, doi: 10.1029/2021GL093292.

 

Not peer-reviewed

• Lenkoski, A., Kolstad, E. W. & Thorarinsdottir, T. L. (2022) Benchmarking Dataset for Seasonal Weather Forecasts. Norsk Regnesentral rapport SAMBA/01/22 (27.01.2022).