Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age

Bardin, Ann; Primeau, Francois; Lindsay, Keith; Bradley, Andrew

doi:10.1016/j.ocemod.2016.07.003

Title: Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age

Full Record
Other Related Research

Abstract

Newton-Krylov solvers for ocean tracers have the potential to greatly decrease the computational costs of spinning up deep-ocean tracers, which can take several thousand model years to reach equilibrium with surface processes. One version of the algorithm uses offline tracer transport matrices to simulate an annual cycle of tracer concentrations and applies Newton’s method to find concentrations that are periodic in time. Here we present the impact of time-averaging the transport matrices on the equilibrium values of an ideal-age tracer. We compared annually-averaged, monthly-averaged, and 5-day-averaged transport matrices to an online simulation using the ocean component of the Community Earth System Model (CESM) with a nominal horizontal resolution of 1° × 1° and 60 vertical levels. We found that increasing the time resolution of the offline transport model reduced a low age bias from 12% for the annually-averaged transport matrices, to 4% for the monthly-averaged transport matrices, and to less than 2% for the transport matrices constructed from 5-day averages. The largest differences were in areas with strong seasonal changes in the circulation, such as the Northern Indian Ocean. As a result, for many applications the relatively small bias obtained using the offline model makes the offline approach attractive becausemore »« less

Authors:

Bardin, Ann ^[1]; Primeau, Francois ^[1]; Lindsay, Keith ^[2]; Bradley, Andrew ^[3]

Univ. of California, Irvine, CA (United States)
National Center for Atmospheric Research, Boulder, CO (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Publication Date:: Thu Jul 21 00:00:00 EDT 2016

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1275512

Alternate Identifier(s):: OSTI ID: 1398012

Report Number(s):: SAND-2016-6880J
Journal ID: ISSN 1463-5003; PII: S1463500316300750

Grant/Contract Number:: AC04-94AL85000; SC0012550

Resource Type:: Accepted Manuscript

Journal Name:: Ocean Modelling

Additional Journal Information:: Journal Volume: 105; Journal Issue: C; Journal ID: ISSN 1463-5003

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES; implicit solver; ideal age; Newton–Krylov; offline; transport matrix; global ocean modeling

Citation Formats


                    Bardin, Ann, Primeau, Francois, Lindsay, Keith, and Bradley, Andrew. Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age.  United States: N. p., 2016. 
Web.  doi:10.1016/j.ocemod.2016.07.003.

Copy to clipboard


                    Bardin, Ann, Primeau, Francois, Lindsay, Keith, & Bradley, Andrew. Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age.  United States.  https://doi.org/10.1016/j.ocemod.2016.07.003

Copy to clipboard


                    Bardin, Ann, Primeau, Francois, Lindsay, Keith, and Bradley, Andrew. Thu .  
"Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age".  United States.  https://doi.org/10.1016/j.ocemod.2016.07.003.  https://www.osti.gov/servlets/purl/1275512.

Copy to clipboard


                    
@article{osti_1275512,

  title        = {Evaluation of the accuracy of an offline seasonally-varying matrix transport model for simulating ideal age},

  author       = {Bardin, Ann and Primeau, Francois and Lindsay, Keith and Bradley, Andrew},

  abstractNote = {Newton-Krylov solvers for ocean tracers have the potential to greatly decrease the computational costs of spinning up deep-ocean tracers, which can take several thousand model years to reach equilibrium with surface processes. One version of the algorithm uses offline tracer transport matrices to simulate an annual cycle of tracer concentrations and applies Newton’s method to find concentrations that are periodic in time. Here we present the impact of time-averaging the transport matrices on the equilibrium values of an ideal-age tracer. We compared annually-averaged, monthly-averaged, and 5-day-averaged transport matrices to an online simulation using the ocean component of the Community Earth System Model (CESM) with a nominal horizontal resolution of 1° × 1° and 60 vertical levels. We found that increasing the time resolution of the offline transport model reduced a low age bias from 12% for the annually-averaged transport matrices, to 4% for the monthly-averaged transport matrices, and to less than 2% for the transport matrices constructed from 5-day averages. The largest differences were in areas with strong seasonal changes in the circulation, such as the Northern Indian Ocean. As a result, for many applications the relatively small bias obtained using the offline model makes the offline approach attractive because it uses significantly less computer resources and is simpler to set up and run.},

  doi          = {10.1016/j.ocemod.2016.07.003},

  journal      = {Ocean Modelling},

  number       = C,

  volume       = 105,

  place        = {United States},

  year         = {Thu Jul 21 00:00:00 EDT 2016},

  month        = {Thu Jul 21 00:00:00 EDT 2016}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1016/j.ocemod.2016.07.003

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 5 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Application of a fast Newton–Krylov solver for equilibrium simulations of phosphorus and oxygen

Journal Article Fu, Weiwei ; Primeau, François - Ocean Modelling

Model drift due to inadequate spinup is a serious problem that complicates the interpretation of climate change simulations. Even after a 300 year spinup we show that solutions are not only still drifting but often drifting away from their eventual equilibrium over large parts of the ocean. Here we present a Newton-Krylov solver for computing cyclostationary equilibrium solutions of a biogeochemical model for the cycling of phosphorus and oxygen. In addition to using previously developed preconditioning strategies – time-averaging and coarse-graining the Jacobian matrix – we also introduce a new strategy: the adiabatic elimination of a fast variable (particulate organicmore »« less
Cited by 3
https://doi.org/10.1016/j.ocemod.2017.09.005

Full Text Available
FEOTS v0.0.0: a new offline code for the fast equilibration of tracers in the ocean

Journal Article Schoonover, Joseph ; Weijer, Wilbert ; Zhang, Jiaxu - Geoscientific Model Development (Online)

Abstract. In this paper we introduce a new software framework for the offline calculation of tracer transport in the ocean. The Fast Equilibration of Ocean Tracers Software (FEOTS) is an end-to-end set of tools to efficiently calculate tracer distributions on a global or regional sub-domain using transport operators diagnosed from a comprehensive ocean model. To the best of our knowledge, this is the first application of a transport matrix model to an eddying ocean state. While a Newton–Krylov-based equilibration capability is still under development and not presented here, we demonstrate in this paper the transient modeling capabilities of FEOTS inmore »« less
https://doi.org/10.5194/gmd-16-2795-2023
Collaborative Research: Advancing Arctic Climate Projection Capability at Seasonal to Decadal Scales (Final Technical Report)

Technical Report Maslowski, Wieslaw ; Cassano, John J. ; Nijssen, Bart

The Regional Arctic System Model (RASM) at process resolving configurations has been used to (i) advance understanding of physical processes and feedbacks involved in Arctic amplification and (ii) understand and potentially reduce uncertainty in prediction of arctic climate change at seasonal to decadal scales. RASM consists the atmosphere (Weather and Research Forecasting model, WRF), ocean (Parallel Ocean Program, POP), sea ice (CICE), land hydrology (Variable Infiltration Capacity model, VIC), river routing scheme (RVIC), marine biogeochemistry components and the coupling framework (CPL7). Its domain is pan-Arctic, with the atmosphere and land components configured on a 50-km or 25-km grid and fourmore »« less
https://doi.org/10.2172/1638942

Full Text Available
Surface-to-Interior Transport Timescales and Ventilation Patterns in a Time-Dependent Circulation Driven by Sustained Climate Warming

Journal Article Liu, Y. ; Primeau, F. - Journal of Physical Oceanography

Abstract The effect of climate warming in response to rising atmospheric CO ₂ on the ventilation of the ocean remains uncertain. Here we make theoretical advances in elucidating the relationship between ideal age and transit time distribution (TTD) in a time-dependent flow. Subsequently, we develop an offline tracer-transport model to characterize the ventilation patterns and time scales in the time-evolving circulation for the 1850–2300 period as simulated with the Community Earth System Model version 1 (CESMv1) under a business-as-usual warming scenario. We found that by 2300 2.1% less water originates from the high-latitude deep water formation regions (both hemispheres) comparedmore »« less
https://doi.org/10.1175/JPO-D-23-0113.1
A Newton–Krylov solver for fast spin-up of online ocean tracers

Journal Article Lindsay, Keith - Ocean Modelling

We present a Newton–Krylov based solver to efficiently spin up tracers in an online ocean model. We demonstrate that the solver converges, that tracer simulations initialized with the solution from the solver have small drift, and that the solver takes orders of magnitude less computational time than the brute force spin-up approach. To demonstrate the application of the solver, we use it to efficiently spin up the tracer ideal age with respect to the circulation from different time intervals in a long physics run. We then evaluate how the spun-up ideal age tracer depends on the duration of the physicsmore »« less
Cited by 13
https://doi.org/10.1016/j.ocemod.2016.12.001

Full Text Available

Similar Records