Yool, A., Popova, E.E. and Anderson, T.R. (2011). MEDUSA-1.0: a new intermediate complexity plankton ecosystem model for the global domain. Geoscientific Model Development 4, 381-417, doi: 10.5194/gmd-4-381-2 011.
Yool, A., Popova, E.E. and Anderson, T.R. (2013). MEDUSA-2.0: an intermediate complexity biogeochemical model of the marine carbon cycle for climate change and ocean acidification studies. Geoscientific Model Development 6, 1767-1811, doi: 10.5194/gmd-6-1767-2013.
UKESM1
Kwiatkowski, L., Yool, A., Allen, J.I., Anderson, T.R., Barciela, R., Buitenshuis, E.T., Butenschon, M., Enright, C., Halloran, P.R., Le Quere, C., de Mora, L., Racault, M.F., Sinha, B., Totterdell, I.J., Cox, P.M. (2014). iMarNet: an ocean biogeochemistry model intercomparison project within a common physical ocean modelling framework. Biogeosciences 11, 7291-7304, doi: 10.5194/bg-11-7291-2014.
de Mora, L., Yool, A., Palmieri, J., Sellar, A., Kuhlbrodt, T., Popova, E., Jones, C., and Allen, J. I.: BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models, Geosci. Model Dev., 11, 4215-4240, doi: 10.5194/gmd-11-4215-2018, 2018.
Sellar, A.A., Jones, C.G., Mulcahy, J.P., Tang, Y., Yool, A., et al.: UKESM1: Description and evaluation of the U.K. Earth System Model. J. Adv. Mod. Earth Syst., 11, 4513–4558, doi: 10.1029/2019MS001739, 2019.
Yool, A., Palmiéri, J., Jones, C.G., Sellar, A.A., de Mora, L., Kuhlbrodt, T., Popova, E.E., Mulcahy, J.P., Wiltshire, A., Rumbold, S.T., Stringer, M., Hill, R.S.R., Tang, Y., Walton, J., Blaker, A., Nurser, A.G.J., Coward, A.C., Hirschi, J., Woodward, S., Kelley, D.I., Ellis, R., Rumbold‐Jones, S. (2020). Spin‐up of UK Earth System Model 1 (UKESM1) for CMIP6. Journal of Advances in Modeling Earth Systems, 12, e2019MS001933, doi: 10.1029/2019MS001933.
Kwiatkowski, L., et al.: Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections, Biogeosciences, 17, 3439–3470, doi: 10.5194/bg-17-3439-2020, 2020.
Séférian, R., Berthet, S., Yool, A., et al.: Tracking Improvement in Simulated Marine Biogeochemistry Between CMIP5 and CMIP6. Curr. Clim. Change Rep. 6, 95–119, doi: 10.1007/s40641-020-00160-0, 2020.
Yool, A., Palmiéri, J., Jones, C. G., de Mora, L., Kuhlbrodt, T., Popova, E. E., Nurser, A. J. G., Hirschi, J., Blaker, A. T., Coward, A. C., Blockley, E. W., and Sellar, A. A.: Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations, Geosci. Model Dev., 14, 3437–3472, doi: 10.5194/gmd-14-3437-2021, 2021.
Bock, J., Michou, M., Nabat, P., Abe, M., Mulcahy, J., P.; Olivié, D.J.L., Schwinger, J., Suntharalingam, P., Tjiputra, J., van Hulten, M., Watanabe, M., Yool, A., and Séférian, R.: Evaluation of ocean dimethylsulfide concentration and emission in CMIP6 models. Biogeosciences, 18. 3823-3860, doi: 10.5194/bg-18-3823-2021, 2021.
Yool, A., Martin, A.P., Anderson, T.R., Bett, B.J., Jones, D.O.B. and Ruhl, H.A.: Big in the benthos: Future change of seafloor community biomass in a global, body size-resolved model. Glob. Change Biol. 23, 3554-3566, doi: 10.1111/gcb.13680, 2017.
Applications
Popova, E.E., Yool, A., Coward, A.C., Aksenov, Y.K., Alderson, S.G., de Cuevas, B.A. and Anderson, T.R. (2010). Control of primary production in the Arctic by nutrients and light: insights from a high resolution ocean general circulation model. Biogeosciences 7, 3569-3591, doi: 10.5194/bg-7-3569-2010.
Cole, H., Henson, S., Martin, A. and Yool, A.: Mind the gap: The impact of missing data on the calculation of phytoplankton phenology metrics. J. Geophys. Res. 117, C08030, doi: 10.1029/ 2012JC008249, 2012.
Popova, E.E., Yool, A., Coward, A.C., Dupont, F., Deal, C., Elliott, S., Hunke, E., Jin, M.B., Steele, M. and Zhang, J.L.: What controls primary production in the Arctic Ocean? Results from an intercomparison of five general circulation models with biogeochemistry. J. Geophys. Res. 117, C00D12, doi: 10.1029/ 2011JC007112, 2012.
Yool, A., Popova, E.E., Coward, A.C., Bernie, D. and Anderson, T.R. (2013b). Climate change and ocean acidification impacts on lower trophic levels and the export of organic carbon to the deep ocean. Biogeosciences, 10, 5831-5854, doi: 10.5194/bg-10-5831-2013.
Henson, S., Cole, H., Beaulieu, C. and Yool, A. (2013). The impact of global warming on seasonality of ocean primary production. Biogeosciences, 10, 4357-4369, doi: 10.5194/bg-10-4357-2013.
Popova, E.E., Yool, A., Aksenov, Y., Coward, A.C., Anderson, T.R. (2014). Regional variability of acidification in the Arctic: a sea of contrasts. Biogeosciences 11, 293-308, doi: 10.5194/bg-11-293-2014.
Lawrence, J., Popova, E., Yool, A. and Srokosz, M.: On the vertical phytoplankton response to an ice-free Arctic Ocean. J. Geophys. Res. 120, 8571-8582, doi: 10.1002/2015JC011180, 2015.
Hemmings, J.C.P., Challenor, P.G. and Yool, A.: Mechanistic site-based emulation of a global ocean biogeochemical model (MEDUSA 1.0) for parametric analysis and calibration: an application of the Marine Model Optimization Testbed (MarMOT 1.1). Geoscientific Model Development, 8, 697-731, doi: 10.5194/gmd-8-697-2015, 2015.
Henson, S.A., Yool, A. and Sanders, R.: Variability in efficiency of particulate organic carbon export: A model study. Glob. Biogeochem. Cycles 29, 33-45, doi: 10.1002/2014GB004965, 2015.
Cole, H.S., Henson, S., Martin, A.P. and Yool, A.: Basin-wide mechanisms for spring bloom initiation: how typical is the North Atlantic? ICES J. Mar. Sci., 72, 2029-2040, doi: 10.1093/icesjms/fsu239, 2015.
Tagliabue, A., Aumont, O., DeAth, R., Dunne, J.P., Dutkiewicz, S., Galbraith, E., Misumi, K., Moore, J.K., Ridgwell, A., Sherman, E., Stock, C., Vichi, M., Volker, C. and Yool, A.: How well do global ocean biogeochemistry models simulate dissolved iron distributions? Glob. Biogeochem. Cycles 30, 149-174, doi: 10.1002/2015GB005289, 2016.
Gubili, C., Ross, E., Billett, D.S.M., Yool, A., Tsairidis, C., Ruhl, H.A., Rogacheva, A., Masson, D., Tyler, P.A. and Hauton, C.: Species diversity in the cryptic abyssal holothurian Psychropotes longicauda (Echinodermata). Deep-Sea Res. Pt. II, doi: 10.1016/j.dsr2.2016.04.003, 2016.
Steiner, N.S., Sou, T., Deal, C., Jackson, J.M., Jin, M., Popova, E., Williams, W. and Yool, A.: The future of the subsurface chlorophyll-a maximum in the Canada Basin-A model intercomparison. J. Geophys. Res. 121, 387-409, doi: 10.1002/2015JC011232, 2016.
Jin, M., Popova, E.E., Zhang, J.L., Ji, R.B., Pendleton, D., Varpe, O., Yool, A. and Lee, J.Y.: Ecosystem model intercomparison of under-ice and total primary production in the Arctic Ocean. J. Geophys. Res. 121, 934-948, doi: 10.1002/ 2015JC011183, 2016.
Lee, Y.J. et al.: Net primary productivity estimates and environmental variables in the Arctic Ocean: An assessment of coupled physical-biogeochemical models. J. Geophys. Res. 121, 8635-8669, doi: 10.1002/2016JC011993, 2016.
Beaulieu, C., Cole, H., Henson, S., Yool, A., Anderson, T., de Mora, L., Buitenhuis, E.T., Butenschon, M., Totterdell, I.J. and Allen, J.I.: Marine regime shifts in ocean biogeochemical models: a case study in the Gulf of Alaska. Biogeosciences 13, 4533-4553, doi: 10.5194/bg-13-4533-2016, 2016.
Popova, E., Yool, A., Byfield, V., Cochrane, K., Coward, A.C., Salim, S.S., Gasalla, M.A., Henson, S.A., Hobday, A.J., Pecl, G., Sauer, W., and Roberts, M.: From global to regional and back again: common climate stressors of marine ecosystems relevant for adaptation across five ocean warming hotspots. Global Change Biology, 22, 2038-2053, https://doi.org/10.1111/gcb.13247, 2016.
Sanders, R.J. et al.: Controls over Ocean Mesopelagic Interior Carbon Storage (COMICS): Fieldwork, Synthesis, and Modeling Efforts. Frontiers in Marine Sci., 3, 136, doi: 10.3389/fmars.2016.00136, 2016.
Couldrey, M.P., Oliver, K.I.C., Yool, A., Halloran, P.R. and Achterberg, E.P.: On which timescales do gas transfer velocities control North Atlantic CO2 flux variability? Glob. Biogeochem. Cycles 30, 787-802, doi: 10.1002/2015GB005267, 2016.
Magozzi, S., Yool, A., Zanden, H.B.V., Wunder, M.B. and Trueman, C.N.: Using ocean models to predict spatial and temporal variation in marine carbon isotopes. Ecosphere 8, doi: 10.1002/ecs2.1763, 2017.
Fernandes, J.A., Papathanasopoulou, E., Hattam, C., Queiros, A.M., Cheung, W.W.L., Yool, A., Artoli, Y., Pope, E.C., Flynn, K.J., Merino, G., Calosi, P., Beaumont, N., Austen, M.C., Widdicombe, S. and Barange, M.: Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries. Fish and Fisheries 18, 389-411, doi: 10.1111/faf.12183, 2017.
Barange, M., Butenschon, M., Yool, A., Beaumont, N., Fernandes, J.A., Martin, A.P. and Allen, J.I.: The Cost of Reducing the North Atlantic Ocean Biological Carbon Pump. Front. Mar. Sci. 10, doi: 10.3389/fmars.2016.00290, 2017.
Yool, A., Popova, E.E. and Coward, A.C. (2015). Future change in ocean productivity: Is the Arctic the new Atlantic? J. Geophys. Res. 120, 7771-7790, doi: 10.1002/2015JC011167.
Bird, C.S., Veríssimo, A., et al.: A global perspective on the trophic geography of sharks. Nature Ecol. & Evol., 2, 299-305, doi: 10.1038/s41559-017-0432-z, 2018.
Holt, J., Polton, J., Huthnance, J., Wakelin, S., O'Dea, E., Harle, J., Yool, A., Artoli, Y., Blackford, J. Siddorn, J. and Inall, M.: Climate‐driven change in the North Atlantic and Arctic Oceans can greatly reduce the circulation of the North Sea. Geophysical Research Letters, 45, 11,827–11,836, doi: 10.1029/2018GL078878, 2018.
Fernandes, J.A., et al.: Can we project changes in fish abundance and distribution in response to climate? Glob. Change Biol., 26, 3891–3905, doi: 10.1111/gcb.15081, 2020.
Aldama‐Campino, A., Fransner, F., Ödalen, M., Groeskamp, S., Yool, A., Döös, K., & Nycander, J.: Meridional ocean carbon transport. Global Biogeochemical Cycles, 34, e2019GB006336, doi: 10.1029/2019GB006336, 2020.
Jacobs, Z.L., Jebri, F., Srokosz, M., Raitsos, D.E., Painter, S.C., Nencioli, F., Osuka, K., Samoilys, M., Sauer, W., Roberts, M., Taylor, S.F.W., Scott, L., Kizenga, H., and Popova E: A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Niño as Detected Using Remote Sensing Data. Remote Sensing, 12, 3127, https://doi.org/10.3390/rs12193127, 2020a.
Jacobs, Z.L., Jebri, F., Raitsos, D.E., Popova, E., Srokosz, M., Painter, S.C., Nencioli, M., Roberts, J., Kamau, M., Palmer, J., and Wihsgott: Shelf-break upwelling and productivity over the North Kenya Banks: The importance of large-scale ocean dynamics, Journal of Geophysical Research, 125, e2019JC015519, https://doi.org/10.1029/2019JC015519, 2020b.
Jacobs, Z.L., Yool, A., Jebri, F., Srokosz, M., van Gennip, S., Kelly, S.J., Roberts, M., Sauer, W., Queirós, A.M., Osuka, K.E., Samoilys, M., Becker, A.E., and Popova, E.: Key climate change stressors of marine ecosystems along the path of the east african coastal current, Ocean & Coastal Management, 208, 105627, https://doi.org/10.1016/j.ocecoaman.2021.105627, 2021.
Jebri, F., Raitsos, D.E., Gittings, J.A., Jacobs, Z.L., Srokosz, M., Gornall, J., Sauer, W.H.H., Roberts, M.J., Popova, E.: Unravelling links between squid catch variations and biophysical mechanisms in South African waters, Deep Sea Research Part II: Topical Studies in Oceanography, 196, 105028, https://doi.org/10.1016/j.dsr2.2022.105028, 2022.
Asdar, S., Jacobs, Z.L., Popova, E., Noyon, M., Sauer, W., and Roberts, M.J.: Projected climate change impacts on the ecosystems of the Agulhas Bank, South Africa, Deep Sea Research Part II: Topical Studies in Oceanography, 105092, https://doi.org/10.1016/j.dsr2.2022.105092, 2022.
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