Identification

Title

Dataset to reproduce the figures in "Parameterizing the Impact of Unresolved Temperature Variability on the Large-Scale Density Field: Part 2. Modeling." in Journal of Advances in Modeling Earth Systems (JAMES)

Abstract

Ocean circulation models have systematic errors in large-scale horizontal density gradients due to estimating the grid-cell-mean density by applying the nonlinear seawater equation of state to the grid-cell-mean water properties. In frontal regions where unresolved subgrid-scale (SGS) fluctuations are significant, dynamically relevant errors in the representation of current systems can result. A previous study developed a novel and computationally efficient parameterization of the unresolved SGS temperature variance andresulting density correction. This parameterization was empirically validated but not tested in an ocean model. In this study, we implement deterministic and stochastic variants of this parameterization in the pressure-gradient force term of a coupled ocean-sea ice configuration of CESM-MOM6 and perform a suite of hindcast sensitivity experiments to investigate the ocean response. The parameterization leads to coherent changes in the large-scale ocean circulation and hydrography, particularly in the Nordic Seas and Labrador Sea, which are attributable in large part to changes in the seasonally varying upper-ocean exchange through Denmark Strait. In addition, the separated Gulf Stream strengthens and shifts equatorward, reducing a common bias in coarse-resolution ocean models. The ocean response to the deterministic and stochastic variants of the parameterization is qualitatively, albeit not quantitatively, similar, yet qualitative differences are found in various regions.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/dataset/id/d1b95333-fb36-40f6-8808-afba56c4cdba.html

protocol: https

applicationProfile: browser

name: Dataset to reproduce the figures in "Parameterizing the Impact of Unresolved Temperature Variability on the Large-Scale Density Field: Part 2. Modeling." in Journal of Advances in Modeling Earth Systems (JAMES)

description: Metadata Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

Keywords

Keyword set

keyword value

Dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN MIXED LAYER

EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > POTENTIAL TEMPERATURE

EARTH SCIENCE > OCEANS > SALINITY/DENSITY > POTENTIAL DENSITY

EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY

EARTH SCIENCE > OCEANS > SEA ICE > ICE DEPTH/THICKNESS

EARTH SCIENCE > OCEANS > SEA SURFACE TOPOGRAPHY

originating controlled vocabulary

title

reference date

date type

revision

effective date

2018-03-15

Keyword set

keyword value

Other > Models > Cesm > Ncar Community Earth System Model

originating controlled vocabulary

title

reference date

date type

revision

effective date

2018-03-15

Geographic location

West bounding longitude

-180.0

East bounding longitude

180.0

North bounding latitude

90.0

South bounding latitude

-90.0

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2021-12-20

date type

modified

effective date

2021-12-16

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

application/x-netcdf

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License.

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Climate and Global Dynamics Laboratory

email address

fredc@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

UCAR/NCAR - GDEX

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata date

2022-07-21T11:47:03-06:00

Metadata language