Journal papers

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, early online release, 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: e2022MS003310, 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. 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).