Scientific papers and articles

Below is the list of scientific and technical publications stemming from PRIMAVERA.

All publications from the project should also eventually appear as open access on https://www.openaire.eu/, search under "PRIMAVERA + climate".

Submitted, under review

Bador, M., Boé, J., Terray, L., Alexander, L. V., Bellucci, A., Haarsma, R., Koenigk, T., Moine, M.-P., Lohmann, K., Putrasahan, D. A., Roberts, C., Roberts, M., Scoccimarro, E., Schiemann, R., Seddon, J.,  Senan, R., Valcke, S., Vanniere, B.: Impact of higher spatial atmospheric resolution on precipitation extremes over land in global climate models. Submitted to JGR Atmos., Dec 2019.

Bock, L., A. Lauer, V. Eyring, M. Schlund, M. Barreiro, N. Bellouin, C. Jones, G. A. Meehl, V. Predoi, and M. J. Roberts, 2019: Quantifying progress across different CMIP phases with the ESMValTool. Submitted to J. Geophys. Res.

Boe, J., Terray, L., Moine, M.-P., Valcke, S., Bellucci, A., Drijfhout, S., Haarsma, R., Lohmann, K., Putrasahan, D., Roberts, C., Roberts, M., Scoccimarro, E., Seddon, J., Senan, R., Wyser, K.: Recent summer warming over western Europe in new generation climate models and errors in large-scale circulation trends. Submitted to ERL (Oct 2019).

Bojovic, D. St. Clair, I. Christel, M. Terrado, P. Stanzel, P. Gonzalez, E. Palin, 2019: Engagement, Involvement and Empowerment: three realms of a coproduction framework for climate services. GEC, submitted.

Demory, M.-E., and Coauthors, 2019: Can high-resolution GCMs reach the level of information provided by 12-50 km CORDEX RCMs in terms of daily precipitation distribution? Geosci. Model. Dev., submitted.

Demory, M.-E., C. Boening, R. Schiemann, P. L. Vidale, J.T. Reager, M. J. Roberts, M. S. Mizielinski, 2019: ENSO-driven variability in terrestrial water cycle in Global Climate Models compared to GRACE. Submitted to ERL.

Fedele, G., A. Bellucci, S. Masina, S. Pierini, 2019: Decadal variability of the Kuroshio Extension: The response of the jet to increased atmospheric resolution in a coupled ocean-atmosphere model, submitted to Climate Dynamics.

Gao, J., Minobe, S, Roberts, M.J., Haarsma, R., Putrasahan, D., Roberts, C.D., Scoccimarro, E., Terray, L., Vannière, B. and  Vidale, P.L.: 2019: Influence of model resolution on bomb cyclones revealed by HighResMIP-PRIMAVERA simulations. Submitted to ERL.

Hirschi, J. J.-M.,, Barnier, B., Böning, C., Biastoch, A., Blaker, A. T., Coward, A., Danilov, S. , Drijfhout, S., Getzlaff, K., Griffies, S. M., Hasumi, H., Hewitt, H., Iovino, D., Kawasaki, T., Kiss, A. E., Koldunov, N., Marzocchi, A., Moat, B., Molines, J.-M., Myers, P. G., Penduff, T., Roberts, M., Treguier, A.-M., Sein, D. V., Sidorenko, D., Small, J., Spence, P., Thompson, L., Weijer, W., Xu, X.: The Atlantic meridional overturning circulation in high resolution models. J. Geophys. Res., accepted, 2020.

Haarsma, R, M Acosta, R Bakhshi, P-A Bretonnière, L-P Caron, M Castrillo, S Corti, P Davini, E Exarchou, F Fabiano, U Fladrich, R Fuentes, J García-Serrano, J von Hardenberg, T Koenigk, X Levine, V Meccia, T van Noije, G van den Oord, F Palmeiro, M Rodrigo, Y Ruprich-Robert, P Le Sager, E Tourigny, S Wang, M van Weele and K Wyser, 2019: HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR. Description, model performance, data handling and validation. Geosci. Model Dev., submitted.

Jackson, L.C.,·M. J. Roberts, H. T. Hewitt, D. Iovino, T. Koenigk, V. L. Meccia, C. D. Roberts, Y. Ruprich-Robert, R. A. Wood, 2019: Does ocean resolution affect the rate of AMOC weakening? Clim. Dyn., submitted.

Klaver, R., R. Haarsma, P.L. Vidale, W. Hazeleger: Effective resolution in high resolution global atmospheric models for climate studies. Atmospheric Science Letters, accepted.

Massonnet, F., Barthélemy, A., Worou, K., Fichefet, T., Vancoppenolle, M., Rousset, C., and Moreno-Chamarro, E.: On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean–sea ice model, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-16, in review, 2019.

Molteni, F., C. D. Roberts, R. Senan, S. P. E. Keeley, A. Bellucci, S. Corti, R. F. Franco, R. Haarsma, X. Levine, D. Putrasahan, M. J. Roberts, L. Terray, 2019: Boreal-winter teleconnections with the tropical Indo-Pacific rainfall in HighResMIP historical simulations from the PRIMAVERA project. Clim. Dyn., submitted.

Müller, O. V., P. L. Vidale, B. Vannière, R. Schiemann, R. Senan, R. Haarsma and J. Jungclaus, 2019: Land-atmosphere Coupling Sensitivity to GCMs Resolution: A Multi-model Analysis of the Sahel Hotspot. J. Clim., submitted Dec 2019.

Roberts, C.D, Vitart, F., Balmaseda, M.A., Molteni, F., The atmospheric response to increased ocean model resolution in the ECMWF Integrated Forecast System: a seamless approach. Submitted to Journal of Climate.

Roberts, M.J. and 26 Coauthors, 2019: Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes. JAMES, submitted. https://doi.org/10.1002/essoar.10501560.1

Roberts, M.J. and 29 Coauthors, 2019: Projected Future Changes in Tropical Cyclones using the CMIP6 HighResMIP Multi-model Ensemble. Geophys. Res. Lett., submitted. https://doi.org/10.1002/essoar.10501559.1

Schiemann, R. and Coauthors, 2019: The representation of Northern Hemisphere blocking in current global climate models. Weather and Climate Dynamics, submitted. https://www.weather-clim-dynam-discuss.net/wcd-2019-19/

Scoccimarro, E., et al. (2020): The typhoon-induced drying of the Maritime Continent. Submitted to PNAS.

Vanniere, B. and Coauthors, 2019: The moisture budget of tropical cyclones: large scale environmental constraints and sensitivity to model horizontal resolution. J. Clim., submitted.

Yang, Christensen, Corti, von Hardenberg, Davini, 2018: The impact of stochastic physics on the El Niño Southern Oscillation in the EC-Earth coupled model. Climate Dynamics, submitted.

Peer reviewed

2020

Moreton, S., D. Ferreira, M. Roberts, H. Hewitt, 2020: Evaluating surface eddy properties in climate simulations with 'eddy-present' and 'eddy-rich' ocean resolution. Ocean Modelling, in press. https://doi.org/10.1016/j.ocemod.2020.101567

Roberts, M. J., J. Camp, J. Seddon, P. L. Vidale, K. Hodges, B. Vanniere, J. Mecking, R. Haarsma4, A. Bellucci, E. Scoccimarro, L.-P. Caron, F. Chauvin, L. Terray, S. Valcke, M.-P. Moine, D. Putrasahan, C. Roberts, R. Senan, C. Zarzycki, P. Ullrich, 2020: Impact of model resolution on tropical cyclone simulation using the HighResMIP-PRIMAVERA multi-model ensemble. J. Climate, in press. https://doi.org/10.1175/JCLI-D-19-0639.1

2019

Baker, A.J., R. Schiemann, K.I. Hodges, M. Demory, M.S. Mizielinski, M.J. Roberts, L.C. Shaffrey, J. Strachan, and P.L. Vidale, 2019: Enhanced Climate Change Response of Wintertime North Atlantic Circulation, Cyclonic Activity, and Precipitation in a 25-km-Resolution Global Atmospheric Model. J. Climate, 32, 7763–7781, https://doi.org/10.1175/JCLI-D-19-0054.1

Darmaraki, S., Somot, S., Sevault, F., Nabat, P., Cabos Narvaez, W. D., Cavicchia, L., Djurdjevic, V., Li, L., Sannino, G. and Sein, D. V. (2019) Future evolution of Marine Heatwaves in the Mediterranean Sea, Climate Dynamics. https://doi.org/10.1007/s00382-019-04661-z

Docquier, D., J. P. Grist, M. J. Roberts, C. D. Roberts, T. Semmler, L. Ponsoni, F. Massonnet, D. Sidorenko, D. Sein, D. Iovino, T. Fichefet, 2019. Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport. Climate Dynamics, https://doi.org/10.1007/s00382-019-04840-y.

Gonzalez, P., D. Brayshaw, G. Zappa, 2019: The contribution of North Atlantic atmospheric circulation shifts to future wind speed projections for wind power over Europe. Climate Dynamics, 53, 4095–4113. https://doi.org/10.1007/s00382-019-04776-3

Gutjahr, O., Putrasahan, D., Lohmann, K., Jungclaus, J. H., von Storch, J.-S., Brüggemann, N., Haak, H., and Stössel, A.: Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP), Geosci. Model Dev., 12, 3241–3281, https://doi.org/10.5194/gmd-12-3241-2019, 2019.

Koldunov, N.V., Danilov, S., Sidorenko, D., Hutter, N., Losch, M., Goessling, H., Rakowsky, N., Scholz, P., Sein, D. V., Wang, Q., and Jung, T. Fast EVP solutions in a high-resolution sea ice model. J. Adv. Model. Earth Syst., 2019. https://doi.org/10.1029/2018MS001485

Lima, D. C. A., Soares, P. M. M., Semedo, Á., Cardoso, R. M., Cabos, W. and Sein, D. V. A Climatological Analysis of the Benguela Coastal Low-Level Jet. Journal of Geophysical Research: Atmospheres, 2018. https://doi.org/10.1029/2018JD028944

Putrasahan, D. A., Lohmann, K., von Storch, J. S., Jungclaus, J. H., Gutjahr, O., & Haak, H. (2019). Surface Flux Drivers for the Slowdown of the Atlantic Meridional Overturning Circulation in a High-Resolution Global Coupled Climate Model. Journal of Advances in Modeling Earth Systems11(5), 1349–1363. https://doi.org/10.1029/2018MS001447

Rackow, T., Sein, D. V., Semmler, T., Danilov, S., Koldunov, N. V., Sidorenko, D., Wang, Q., and Jung, T.: Sensitivity of deep ocean biases to horizontal resolution in prototype CMIP6 simulations with AWI-CM1.0, Geosci. Model Dev., 12, 2635-2656, https://doi.org/10.5194/gmd-12-2635-2019, 2019.

Roberts, M. J., Baker, A., Blockley, E. W., Calvert, D., Coward, A., Hewitt, H. T., Jackson, L. C., Kuhlbrodt, T., Mathiot, P., Roberts, C. D., Schiemann, R., Seddon, J., Vannière, B., and Vidale, P. L.: Description of the resolution hierarchy of the global coupled HadGEM3-GC3.1 model as used in CMIP6 HighResMIP experiments, Geosci. Model Dev., https://www.geosci-model-dev.net/12/4999/2019/, in press, 2019.

Scaife, A. A., J. Camp, R. Comer, P. Davis, M. Gordon, C. MacLachlan, N. Aartin, Y. Nie, H. Ren, M. Roberts, W. Robinson, P. L. Vidale, 2019: Does increased atmospheric resolution improve seasonal climate predictions? Atmospheric Science Letters, https://doi.org/10.1002/asl.922.

Scholz, P., Sidorenko, D., Gurses, O., Danilov, S., Koldunov, N., Wang, Q., Sein, D. V., Smolentseva, M., Rakowsky, N., and Jung, T.: Assessment of the Finite VolumE Sea Ice Ocean Model (FESOM2.0), Part I: Description of selected key model elements and comparison to its predecessor version. Geosci. Model Dev., 2019. https://doi.org/10.5194/gmd-12-4875-2019

Sidorenko, D., Goessling, H. F., Koldunov, N., Scholz, P., Danilov, S., Barbi, D., Cabos, W., Gurses, O., Harig, S., Hinrichs, C.,  Juricke, S., Lohmann, G., Losch, M., Mu, L., Rackow, T.,  Rakowsky, N., Sein, D.V., Semmler, T., Shi, X., Stepanek, C., Streffing, J., Wang, Q., Wekerle, C., Yang, H., Jung, T., 2019:  Evaluation of FESOM2.0 coupled to ECHAM6.3: Pre-industrial and HighResMIP simulations. J. Adv. Model. Earth Syst.. https://doi.org/10.1029/2019MS001696

Thomas, M. A., A. Devasthale, T. Koenigk, K. Wyser, M. Roberts, C. Roberts, K. Lohmann, 2019: A statistical and process oriented evaluation of cloud radiative effects in high resolution global models. Geosci. Model Dev., 12, 1679-1702. https://doi.org/10.5194/gmd-12-1679-2019

Vries, H.., Scher, S., Haarsma, R. et al., 2019: How Gulf-Stream SST-fronts influence Atlantic winter storms: results from a downscaling experiment with HARMONIE to the role of modified latent heat fluxes and low-level baroclinicity. Clim Dyn, 52: 5899. https://doi.org/10.1007/s00382-018-4486-7

Wang, Q., Wekerle, C., Danilov, S., Sidorenko, D., Koldunov, N., Sein, D. V., Rabe, B. and Jung, T. (2019) Recent Sea Ice Decline Did Not Significantly Increase the Total Liquid Freshwater Content of the Arctic Ocean, J. Climate, 32, pp. 15-32. https://doi.org/10.1175/JCLI-D-18-0237.1

Wang, Q., Wang, X., Wekerle C., Danilov, S., Jung, T., Koldunov, N., Lind, S., Sein, D.V., Shu, Q., Sidorenko, D., 2019: Ocean heat transport into the Barents Sea: Distinct controls on the upward trend and interannual variability.  Geophysical Research Letters. https://doi.org/10.1029/2019GL083837

Wu, P., M. Roberts, G. Martin, X. Chen, T. Zhou, P. L. Vidale, 2018: The impact of horizontal atmospheric resolution in modelling air-sea fluxes. QJRMS, 145, 3271-3283, https://doi.org/10.1002/qj.3618.

2018

Ayarzagüena, B., S. Ineson, N. J. Dunstone, M. P Baldwin and A. A. Scaife, 2018. Intraseasonal effects of El Niño Southern Oscillation on North Atlantic climate. J. Clim. https://doi.org/10.1175/JCLI-D-18-0097.1

Bloemendaal, N., Muis, S., Haarsma, R.J. et al., 2018: Global modelling of tropical cyclone storm surges using high-resolution forecasts. Clim Dyn. https://doi.org/10.1007/s00382-018-4430-x

Cabos, W., Sein, D. V., Durán-Quesada, A., Liguori, G., Koldunov, N. V., Martínez-López, B., Alvarez, F., Sieck, K., Limareva, N. and Pinto, J. G. (2018). Dynamical downscaling of historical climate over CORDEX Central America domain with a regionally coupled atmosphere–ocean model. Climate Dynamics. doi: https://doi.org/10.1007/s00382-018-4381-2

Field, P. R., M. J. Roberts, J. M. Wilkinson, 2018: Simulated lightning in a convection permitting global model. Journal of Geophysical Research - Atmospheres, doi: https://doi.org/10.1029/2018JD029295

Goosse, H., J. E. Kay, K. C. Armour, A. Bodas-Salcedo, H. Chepfer, D. Docquier, A. Jonko, P. J. Kushner, O. Lecomte, F. Massonnet, H.-S. Park, F. Pithan, G. Svensson, M. Vancopenolle (2018). Quantifying climate feedbacks in polar regions. Nature Communications, doi: https://doi.org/10.1038/s41467-018-04173-0. This paper is a perspective paper on extending the methodology of radiative climate feedback to non-radiative processes (e.g. sea-ice processes) in polar regions.

Grist, J. P., S. A. Josey, A. L. New, M. Roberts, T. Koenigk, D. Iovino, 2018: Increasing Atlantic ocean heat transport in the latest generation coupled ocean-atmosphere models: The role of air-sea interaction. JGR-Oceans, accepted. https://doi.org/10.1029/2018JC014387

Lima, D. C. A., Soares, P. M. M., Semedo, Á., Cardoso, R. M., Cabos, W. and Sein, D. V. (2018) A Climatological Analysis of the Benguela Coastal Low‐Level Jet, Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2018JD028944

Massonnet, F., Vancoppenolle, M., Goosse, H., Docquier, D., Fichefet, T., & Blanchard-Wrigglesworth, E. (2018). Arctic sea-ice change tied to its mean state through thermodynamic processes. Nature Climate Change, 8(7), 599–603. https://doi.org/10.1038/s41558-018-0204-z

McCoy, D. T., Field, P. R., Schmidt, A., Grosvenor, D. P., Bender, F. A. M., Shipway, B. J., Hill, A. A., Wilkinson, J. M., Elsaesser, G. S., 2018: Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations. Journal of Atmospheric Chemistry, doi: https://doi.org/10.5194/acp-18-5821-2018. https://www.atmos-chem-phys.net/18/5821/2018/

McCoy, D. T., Bender, F. A-M., Grosvenor, D. P., Mohrmann, J. K., Hartmann, D. L., Wood, R., Field, P. R., 2018: Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data. Journal of Atmospheric Chemistry and Physics, doi: https://doi.org/10.5194/acp-18-2035-2018. https://www.atmos-chem-phys.net/18/2035/2018/

Roberts, C. D., Senan, R., Molteni, F., Boussetta, S., Mayer, M., and Keeley, S. P. E., 2018: Climate model configurations of the ECMWF Integrated Forecasting System (ECMWF-IFS cycle 43r1) for HighResMIP. Geosci. Model Dev., 11, 3681-3712, https://doi.org/10.5194/gmd-11-3681-2018

Roberts, M. J., P. L. Vidale, C. Senior, H. T. Hewitt, C. Bates, S. Berthou, P. Chang, H. M. Christensen, S. Danilov, M.-E. Demory, S. M. Griffies, R. Haarsma, T. Jung, G. Martin, S. Minobe, T. Ringler, M. Satoh, R. Schiemann, E. Scoccimarro, G. Stephens, M. F. Wehner, 2018: The benefits of global high-resolution for climate simulation: process-understanding and the enabling of stakeholder decisions at the regional scale. BAMS, doi: https://doi.org/10.1175/BAMS-D-15-00320.1

Sein, D. V., Koldunov, N. V., Danilov, S., Sidorenko, D., Wekerle, C., Cabos, W., et al. (2018). The relative influence of atmospheric and oceanic model resolution on the circulation of the North Atlantic Ocean in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10, 2026–2041. doi: https://doi.org/10.1029/2018MS001327

Sidorenko, D., Koldunov, N. V., Wang, Q., Danilov, S., Goessling, H. F., Gurses, O., et al. (2018). Influence of a salt plume parameterization in a coupled climate model. Journal of Advances in Modeling Earth Systems, 10. doi: https://doi.org/10.1029/2018MS001291

Soares, P. M. M., Lima, D. C. A., Semedo, A., Cardoso, R. M., Cabos, W. and Sein, D. V. (2018)   Assessing the climate change impact on the North African offshore surface wind and coastal low-level jet using coupled and uncoupled regional climate simulations, Climate Dynamics. https://doi.org/10.1007/s00382-018-4565-9

Soares, P. M. M., Lima, D. C. A., Semedo, Á., Cardoso, R. M., Cabos, W. and Sein, D. (2018). The North African coastal low level wind jet: a high resolution view, Climate Dynamics. doi: https://doi.org/10.1007/s00382-018-4441-7

Tandon, N. F., P. J. Kushner, D. Docquier, J. J. Wettstein, C. Li (2018). Reassessing sea ice drift and its relationship to long term Arctic sea ice loss in coupled climate models. Journal of Geophysical Research, doi: https://doi.org/10.1029/2017JC013697. This paper is a multi-model analysis of Arctic sea-ice drift and its link to sea-ice volume in CMIP5 models.

van der Linden, E., R. Haarsma, G. van der Schrier, 2019: Impact of climate model resolution on soil moisture projections in central-western Europe Hydrol. Earth Syst. Sci., 23, 191-206. https://doi.org/10.5194/hess-23-191-2019

Vanniere, B., P. L. Vidale, M.-E. Demory, R. Schiemann, M. J. Roberts, C. D. Roberts, M. Matsueda, L. Terray, T. Koenigk, R. Senan, 2018: Multi-model evaluation of the sensitivity of the global energy budget and hydrological cycle to resolution. Climate Dynamics, doi: https://doi.org/10.1007/s00382-018-4547-y.

Vries, H. de, Scher, S., Haarsma, R., Drijfhout, S., & Delden, A. van. (2018). How Gulf-Stream SST-fronts influence Atlantic winter storms. Climate Dynamics, 1–11. https://doi.org/10.1007/s00382-018-4486-7

Wang, Q., Wekerle, C., Danilov, S., Koldunov, N., Sidorenko, D., Sein, D. V., Rabe, B. and Jung, T. (2018). Arctic Sea Ice Decline Significantly Contributed to the Unprecedented Liquid Freshwater Accumulation in the Beaufort Gyre of the Arctic Ocean. Geophysical Research Letters, 45, pp. 4956-4964, doi: https:/doi.org/10.1029/2018GL077901

2017

M. M. Dekker, R. J. Haarsma, H. de Vries, M. Baatsen, A. J. van Delden, 2017: Characteristics and development of European cyclones with tropical origin in reanalysis data. Climate Dynamics, doi: https://doi.org/10.1007/s00382-017-3619-8

D. Docquier, F. Massonnet, A. Barthélemy, N. F. Tandon, O. Lecomte, and T. Fichefet, 2017: Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6. The Cryosphere, doi: https://doi.org/10.5194/tc-11-2829-2017

H. T. Hewitt, M. J. Bell, E. P. Chassignet, A. Czaja, D. Ferreira, S. M. Griffies, P. Hyder, J. L. McClean, A. L. New, M. J. Roberts, 2017: Will high-resolution global ocean models benefit coupled predictions on short-range to climate timescales? Ocean Modelling, doi: https://doi.org/10.1016/j.ocemod.201711002

S. Scher, R. J. Haarsma, H. de Vries, S. S. Drijfhout, A. J. van Delden, 2017: Resolution dependence of extreme precipitation and deep convection over the Gulf Stream. Journal of Advances in Modeling Earth Systems, doi: https://doi.org/10.1002/2016MS000903.

Sein, D. V., Koldunov, N. V., Danilov, S., Wang, Q., Sidorenko, D., Fast, I., … Jung, T. (2017). Ocean modeling on a mesh with resolution following the local Rossby radius. Journal of Advances in Modeling Earth Systems, 9, 2601–2614. doi: https:/doi.org/10.1002/2017MS001099

2016

R. J. Haarsma, M. Roberts, P. L. Vidale, C. A. Senior, A. Bellucci, Q. Bao, P. Chang, S. Corti, N. S. Fučkar, V. Guemas, J. von Hardenberg, W. Hazeleger, C. Kodama, T. Koenigk, L. R. Leung, J. Lu, J.-J. Luo, J. Mao, M. S. Mizielinski, R. Mizuta, P. Nobre, M. Satoh, E. Scoccimarro, T. Semmler, J. Small, J.-S. von Storch, 2016: High resolution model intercomparison project (HighResMIP). Geoscientifc Model Development Discussions, doi: https://doi.org/10.5194/gmd-2016-6.

M. J. Roberts, H. T. Hewitt, P. Hyder, D. Ferreira, S. A. Josey, M. Mizielinski, A. Shelly, 2016: Impact of ocean resolution on coupled air-sea fluxes and large-scale climate. Geophysical Research Letters, doi: https://doi.org/10.1002/2016GL070559.

E. Scoccimarro, P.G. Fogli. K. Reed, S. Gualdi, S.Masina, A. Navarra, 2016: Tropical cyclone interaction with the ocean: the role of high frequency (sub-daily) coupled processes. Journal of Climate, doi: https://doi.org/10.1175/JCLI-D-16-0292.1.

D. V. Sein, S. Danilov, A. Biastoch, J. V. Durgadoo, D. Sidorenko, S. Harig, Q. Wang, 2016: Designing variable ocean model resolution based on the observed ocean variability. Journal of Advances in Modeling Earth Systems, doi: https://doi.org/10.1002/2016MS000650.

Articles, reports and other publications

Palin, E., et al., 2018: Co-designing state-of-the-art climate model simulations to advance the transport sector’s assessment of climate risk. Proceedings of 7th Transport Research Arena TRA 2018. 

The following are papers written before PRIMAVERA, but with methods or processes that will be applied to PRIMAVERA multi-model simulations.


R. Schiemann, M.-E. Demory, L. C. Shaffrey, J. Strachan, P. L. Vidale, M. S. Mizielinski, M. J. Roberts, M. Matsueda, M. F. Wehner, T. Jung, 2016: The resolution sensitivity of Northern Hemisphere blocking in four 25‑km atmospheric global circulation models. Journal of Climate, doi: https://doi.org/10.1175/JCLI-D-16-0100.1.

 Evaluation of FESOM2.0 coupled to ECHAM6.3: Pre-industrial and HighResMIP simulations. J. Adv. Model. Earth Syst., submitted.