Journal papers

Brajard, J. et al. (2023) Enhancing seasonal forecast skills by optimally weighting the ensemble from fresh data Weather and Forecasting, accepted for publication.

Silva, E. et al (2023) Forecasting harmful algae blooms: application to Dinophysis acuminata in northern Norway Harmful Algae, accepted for publication.

Counillon, F. et al (2023) Framework for an ocean-connected supermodel of the Earth System. Journal of Advances in Modeling Earth Systems

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. et al.Super-resolution data assimilation. Ocean Dynamics (2022). 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, 1–25 (early online release), 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.

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.

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