Spatially varying impact of near-real-time ocean profiles in the Navy Coastal Ocean Model (NCOM) of the Gulf stream region

Todd, Robert, E.; Kausch, Kyle R.

doi:10.1080/1755876X.2025.2580076

i

Spatially varying impact of near-real-time ocean profiles in the Navy Coastal Ocean Model (NCOM) of the Gulf stream region

2025
By Todd, Robert, E. ; Kausch, Kyle R.

Select the Download button to view the document

Please click the download button to view the document.

Details

Journal Title:

Journal of Operational Oceanograph
Personal Author:

Todd, Robert, E. ; Kausch, Kyle R.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GOMO (Global Ocean Monitoring and Observing)
Description:

A variety of near-real-time observations are routinely assimilated into operational numerical simulations of the ocean. This analysis focuses on how subsurface profiles from autonomous underwater gliders and Argo profiling floats have varying impact in the operational Navy Coastal Ocean Model (NCOM) for the US East Coast region depending on the proximity of the profiles to the Gulf Stream. Changes in the model's representation of the ocean state from 24-hour-ahead forecasts to the following days' nowcast runs are used to evaluate the impact of observations made available within the final day before the model valid time during 2017. In general, this metric of observation impact decays over a spatial scale of O(100) km, consistent with covariance scales in the data assimilation scheme. However, observations within and near the Gulf Stream are associated with forecast-to-nowcast changes in the model that are about twice as large as for observations far from the Gulf Stream. Moreover, the strongly advective nature of the Gulf Stream leads to elevated downstream impact of observations within the current. For constraining ocean models, these results suggest that autonomous underwater gliders may be most effectively used to target regions with strong gradients, such as are common along oceanic boundaries.
Keywords:

Autonomous Observations Data Assimilation Gulf Stream Ocean Modelling Autonomous Observations Data Assimilation Gulf Stream Ocean Modelling Autonomous Observations Data Assimilation Gulf Stream Ocean Modelling
Source:

Journal of Operational Oceanography, 18(3), 214–228
DOI:

https://doi.org/10.1080/1755876X.2025.2580076
Format:

PDF
Document Type:

Journal Article
Funding:

Grant no. NA14OAR4320158 ; Grant no. NA19OAR4320074 ; Grant no. NA24OARX432C0008
Rights Information:

Accepted Manuscript
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:8804840ef6e5fbf00d9c9f7929a6b5d8414f97ab459517b295003d5fed2477e91f8a45294a7784a5477fbf92edb612fd6c9df45fe1af9dd5334ea71a0885d134
Download URL:

https://repository.library.noaa.gov/view/noaa/72627/noaa_72627_DS1.pdf
File Type:

[PDF - 18.48 MB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.