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National Aeronautics and Space Administration 3. Results Comparison of MERRA-2 and ECCO-v4 ocean surface heat fluxes: Consequences of different forcing feedbacks on ocean circulation and implications for climate data assimilation Ehud Strobach 1,2,, Andrea Molod 1 , Gael Forget 3 , Jean-Michel Campin 3 , Chris Hill 3 , Dimitris Menemenlis 4 and Patrick Heimbach 5 1 University of Maryland, 2 NASA Goddard Space Flight Center, 3 Massachusetts Institute of Technology, 4 NASA Jet Propulsion Laboratory, 5 University of Texas at Austin Global Modeling & Assimilation O ffice EGU2018-19432 MERRA-2-flux MITgcm forced with MERRA-2 surface fluxes MERRA-2-turb MITgcm forced with MERRA-2 turbulent fluxes MERRA-2-state MITgcm forced with MERRA-2 state variables 0 5 10 15 20 LW SH LH Feedback Strength - Disabled Feedback 2. Experimental Setup We ran MITgcm ocean model (ECCO-v4 underlying ocean model) forced with fields from MERRA-2 (for which GEOS is the underlying atmospheric model) between 1992 to 2011. Different forcing methods were used to imitate different “flavors” of a coupled GEOS-MITgcm DA system in an ocean-only setup. By doing so we were able to turn off different air-sea feedbacks which, in a coupled DA setup, are partially muted by the constraining observations. The set of experiments, therefore, represents a range of active feedbacks in different “flavors” of coupled data- assimilation systems. Web: gmao.gsfc.nasa.gov E-mail: [email protected] Web: essic.umd.edu/joom2 MERRA-2-flux can be seen as an amplification of the errors that will propagate from the atmosphere to the ocean in a strongly constrained coupled DA system. MERRA-2-state can be seen as a coupled DA system that is less constrained (more active feedbacks) than the system represented in the MERRA- 2-flux experiment. MERRA-2-turb may reflect a “compromise” state between the ocean and the atmosphere in a coupled DA system. 1. Introduction In coupled data-assimilation (DA), feedbacks between the ocean and the atmosphere are active, but, depending on the system “flavor”, they are constrained by the observations. We demonstrate that insights about coupled DA can be gained in an ocean only setup and using different forcing methods which act to limit some of the feedbacks and replace the constraining effect of observations in coupled DA. 0 5 10 15 20 LW SH LH Feedback Strength - Disabled Feedback 0 5 10 15 20 LW SH LH Feedback Strength - Disabled Feedback 20-year average of net surface heat flux (upper left) and SST (upper right); difference between MERRA-2-flux and the original MERRA-2 fields (middle); and difference between the MERRA-2-flux the ECCO-v4 fields (lower). 20-year average of net surface heat flux (upper left) and SST (upper right); difference between MERRA-2-turb and the original MERRA-2 fields (middle); and difference between the MERRA-2-turb the ECCO-v4 fields (lower). 20-year average of net surface heat flux (upper left) and SST (upper right); difference between MERRA-2-state and the original MERRA-2 fields (middle); and difference between the MERRA-2-state the ECCO-v4 fields (lower). Negative MERRA-2 heat flux resulted in a large SST reduction compared with observational based products. MERRA-2-flux 20-year average of latent heat, sensible heat and net long wave. The first column shows MERRA-2-flux fluxes, the second column shows MERRA-2-flux minus the original MERRA-2 fluxes, and the third column shows MERRA-2-flux minus ECCO-v4 fluxes. MERRA-2-state 20-year average of latent heat, sensible heat and net long wave. The first column shows MERRA-2-state fluxes, the second column shows MERRA-2-state minus the original MERRA-2 fluxes, and the third column shows MERRA-2-state minus ECCO-v4 fluxes. Heat flux components are the same in MERRA-2-flux and MERRA-2 by definition. SST restored but errors propagated to the water cycle resulted global sea-level increase by 2.7m (not shown). Latent heat flux feedback acted to increase SST. Sensible heat and long wave radiation Feedbacks are secondary to Latent heat. Better SST compared withMERR-2-flux and no change in the water cycle compared with MERRA-2 reanalysis. MERRA-2-turb 20-year average of latent heat, sensible heat and net long wave. The first column shows MERRA-2-turb fluxes, the second column shows MERRA-2-turb minus the original MERRA-2 fluxes, and the third column shows MERRA-2-turb minus ECCO-v4 fluxes. Long wave radiation acted to increase SST. No change to the water cycle compared to MERRA-2. 4. Conclusions Errors in the atmospheric DA are expected to propagate to different components of the ocean model in a coupled DA. The “flavor” of the DA system will determine where the errors propagate. The investigation of air-sea flux errors in the uncoupled components of the model can help anticipate and avoid errors in the coupled version of the system. Photography And social media allowed Nomenclature MERRA-2: Modern-Era Retrospective analysis for Research and Applications, Version 2 (NASA GMAO atmospheric reanalysis) GEOS: Goddard Earth Observing System Model – MERRA-2 underlying atmospheric model ECCO-v4: Estimating the Circulation and Climate of the Ocean Version 4 (ocean state estimate) MITgcm: Massachusetts Institute of Technology general circulation model – ECCO-v4 underlying ocean model

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Page 1: Comparison of MERRA-2 and ECCO-v4 ocean surface heat ...National Aeronautics and Space Administration 3. Results Comparison of MERRA-2 and ECCO-v4 ocean surface heat fluxes: Consequences

National Aeronautics andSpace Administration

3. Results

Comparison of MERRA-2 and ECCO-v4 ocean surface heat fluxes: Consequences of different forcing feedbacks on ocean circulation andimplications for climate data assimilationEhud Strobach1,2,✝, Andrea Molod1, Gael Forget3, Jean-Michel Campin3, Chris Hill3, Dimitris Menemenlis4

and Patrick Heimbach51University of Maryland, 2NASA Goddard Space Flight Center, 3Massachusetts Institute of Technology, 4NASA Jet Propulsion Laboratory, 5University of Texas at Austin

Global Modeling & Assimilation Office

EGU2018-19432

MERRA-2-fluxMITgcm forced with MERRA-2 surface fluxes

MERRA-2-turbMITgcm forced with MERRA-2 turbulent fluxes

MERRA-2-stateMITgcm forced with MERRA-2 state variables

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2. Experimental SetupWe ran MITgcm ocean model (ECCO-v4underlying ocean model) forced with fieldsfrom MERRA-2 (for which GEOS is theunderlying atmospheric model) between1992 to 2011. Different forcing methodswere used to imitate different “flavors” of acoupled GEOS-MITgcm DA system in anocean-only setup. By doing so we wereable to turn off different air-sea feedbackswhich, in a coupled DA setup, are partiallymuted by the constraining observations.The set of experiments, therefore,represents a range of active feedbacks indifferent “flavors” of coupled data-assimilation systems.

Web: gmao.gsfc.nasa.gov

✝E-mail: [email protected]: essic.umd.edu/joom2

MERRA-2-flux can be seen as an amplification of the errors that will propagate from the atmosphere to the ocean in a strongly constrained coupled DA system.

MERRA-2-state can be seen as a coupled DA system that is less constrained (more active feedbacks) than the system represented in the MERRA-2-flux experiment.

MERRA-2-turb may reflect a “compromise” state between the ocean and the atmosphere in a coupled DA system.

1. IntroductionIn coupled data-assimilation (DA),feedbacks between the ocean and theatmosphere are active, but, depending onthe system “flavor”, they are constrained bythe observations. We demonstrate thatinsights about coupled DA can be gained inan ocean only setup and using differentforcing methods which act to limit some ofthe feedbacks and replace the constrainingeffect of observations in coupled DA.

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20-year average of net surface heat flux (upper left) and SST (upper right);difference between MERRA-2-flux and the original MERRA-2 fields (middle);and difference between the MERRA-2-flux the ECCO-v4 fields (lower).

20-year average of net surface heat flux (upper left) and SST (upper right);difference between MERRA-2-turb and the original MERRA-2 fields (middle);and difference between the MERRA-2-turb the ECCO-v4 fields (lower).

20-year average of net surface heat flux (upper left) and SST (upper right);difference between MERRA-2-state and the original MERRA-2 fields (middle);and difference between the MERRA-2-state the ECCO-v4 fields (lower).

NegativeMERRA-2heatfluxresultedinalargeSSTreductioncomparedwithobservationalbasedproducts.

MERRA-2-flux 20-year average of latent heat, sensible heat and net longwave. The first column shows MERRA-2-flux fluxes, the second columnshows MERRA-2-flux minus the original MERRA-2 fluxes, and the thirdcolumn shows MERRA-2-flux minus ECCO-v4 fluxes.

MERRA-2-state 20-year average of latent heat, sensible heat and net longwave. The first column shows MERRA-2-state fluxes, the second columnshows MERRA-2-state minus the original MERRA-2 fluxes, and the thirdcolumn shows MERRA-2-state minus ECCO-v4 fluxes.

• HeatfluxcomponentsarethesameinMERRA-2-fluxandMERRA-2bydefinition.

SSTrestoredbuterrorspropagatedtothewatercycleresultedglobalsea-levelincreaseby2.7m(notshown).

• LatentheatfluxfeedbackactedtoincreaseSST.

• SensibleheatandlongwaveradiationFeedbacksaresecondarytoLatentheat.

BetterSSTcomparedwithMERR-2-fluxandnochangeinthewatercyclecomparedwithMERRA-2reanalysis.

MERRA-2-turb 20-year average of latent heat, sensible heat and net longwave. The first column shows MERRA-2-turb fluxes, the second columnshows MERRA-2-turb minus the original MERRA-2 fluxes, and the thirdcolumn shows MERRA-2-turb minus ECCO-v4 fluxes.

• LongwaveradiationactedtoincreaseSST.

• NochangetothewatercyclecomparedtoMERRA-2.

4. Conclusions

• Errors in the atmospheric DA areexpected to propagate to differentcomponents of the ocean model in acoupled DA. The “flavor” of the DAsystem will determine where the errorspropagate.

• The investigation of air-sea flux errors inthe uncoupled components of the modelcan help anticipate and avoid errors inthe coupled version of the system.

PhotographyAndsocialmediaallowed

Nomenclature• MERRA-2:Modern-EraRetrospectiveanalysisforResearchandApplications,Version2(NASAGMAOatmosphericreanalysis)• GEOS:GoddardEarthObservingSystemModel– MERRA-2underlyingatmosphericmodel• ECCO-v4:EstimatingtheCirculationandClimateoftheOceanVersion4(oceanstateestimate)• MITgcm:MassachusettsInstituteofTechnologygeneralcirculationmodel– ECCO-v4underlyingoceanmodel