National Oceanography Centre, UK

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Presentation transcript:

National Oceanography Centre, UK Modelling beauty contest  Katya Popova National Oceanography Centre, UK 1

UK Earth System Modelling (ESM) Implementation Delivers UK contribution to CMIP6 (IPCC AR6) Core Group (MetOffice/NERC) Assemble Run Analysis

Marine Biogeochemistry UK Earth System Modelling (ESM) Implementation Delivers UK contribution to CMIP6 (IPCC AR6) Core Group (MetOffice/NERC) Assemble Run Analysis Ice Sheets/Shelves (BAS, Bristol) Atmosphere (NCAS, Met O) Land Surface (CEH) Marine Biogeochemistry (NOC, Met O) Sea-Ice (NOC,BAS, CPOM, Met O) Ocean Group

Marine Biogeochemistry UK Earth System Modelling (ESM) Implementation Delivers UK contribution to CMIP6 (IPCC AR6) Core Group (MetOffice/NERC) Assemble Run Analysis Ice Sheets/Shelves (BAS, Bristol) Atmosphere (NCAS, Met O) Land Surface (CEH) Marine Biogeochemistry (?, Met O) Sea-Ice (NOC,BAS, CPOM, Met O) Ocean Group (NOC, Met O) ?

iMARNET project National Oceanography Centre Plymouth Marine Laboratory University of East Anglia Met Office A. Yool, E. Buitenhuis, M. Butenschon, L. de Mora, C. Enright, P. Halloran, B. Sinha, I. Totterdell

iMARNET project National Oceanography Centre Plymouth Marine Laboratory University of East Anglia Met Office “Beauty contest” A. Yool, E. Buitenhuis, M. Butenschon, L. de Mora, C. Enright, P. Halloran, B. Sinha, I. Totterdell

iMARNET project “Beauty contest” To select ocean biogeochemistry for the UK Global Earth System model for the contribution to the next IPCC AR6 (~2019). Criteria: Computational efficiency (Ocean model resolution 1/4o ) Best agreement with global climatological data sets: Dissolved inorganic nitrogen Silicate Chl-a Primary production Inorganic carbon Alkalinity Minimum additional complexity: The model should be able to perform iron fertilisation experiment (Fe)

Participant biogeochemical models HadOCC Diat-HadOCC MEDUSA-2 PLANKTOM-10 + simpler siblings ERSEM

Plankton functional types HadOCC Diat-HadOCC MEDUSA-2 PlankTOM-5 PlankTOM-10 ERSEM Generic P. √ Diatoms “Large P.” Picophyto. Coccos ? N2-fixers Flagellates Phaeocystis Generic Z. Microzoo. Mesozoo. Macrozoo. Het. nanoflag. Bacteria Tracers 7 13 15 25 39 57

iMARNET benchmarking Model BGC tracers 128 (CPU s) Fraction 256 (CPUs) Physics-only 55169 - 108366 HadOCC 7 96371 1.75 160733 1.48 Diat-HadOCC 13 130102 2.36 203680 1.88 MEDUSA-2 15 150672 2.73 227153 2.10 PlankTOM-6 25 281898 5.11 381472 3.52 PlankTOM-10 39 427026 7.74 529862 4.90 ERSEM 57 571395 10.36 744285 6.87

The main conclusion: We find little evidence that more complex models evaluate better against observations and often the opposite is the case

? = Miss World Ocean Miss Arctic

Conclusion: Concluding remarks Time for metric development! Can we develop a metric which would separate upstream problems (Pacific and Atlantic) from AO problems? Time to move beyond climatology?

Arctic is not under-sampled, it is under-modelled!

IPCC AR6 timeline Ecosystem model selected: Summer 2013 Model coupled to the ESM, fine-tuned and frozen: Summer 2015 Equilibration runs, scenarios: Autumn 2017 Analysis (papers submitted): Summer 2018 AR6 - Autumn 2019