Eddy-resolving global ocean prediction

Hurlburt, Harley E.; Chassignet, Eric P.; Cummings, James; Kara, A. Birol; Metzger, E. Joseph; Shriver, Jay F.; Smedstad, Ole Martin; Wallcraft, Alan J.; Barron, Charlie N.

doi:10.1029/177gm21

Cited by 28 publications

(17 citation statements)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…defined (Hurlburt et al, 2008). Figure 1 shows the climatological mean derived on a 0.5° grid using surface drifters by Maximenko and Niiler (2005) Either the Cooper and Haines (1996) technique or synthetic temperature and salinity profiles (Fox et al, 2002) can be figure 1.…”

Section: B Y E R I C P C H a S S I G N E T H A R L E Y E H U R L mentioning

confidence: 99%

US GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM)

Chassignet¹,

Hurlburt²,

Metzger³

et al. 2009

Oceanog.

Self Cite

403

193

View full text Add to dashboard Cite

B y E r i c P. c h a s s i g N E t, h a r l E y E . h u r l B u r t, E . J o s E P h M E t z g E r , o l E M a r t i N s M E d s ta d , J a M E s a . c u M M i N g s ,g E o r g E r . h a l l i w E l l , r a i N E r B l E c k , r E M y B a r a i l l E , The partnership represents a broad spectrum of the oceanographic community, bringing together academia, federal agencies, and industry/commercial entities, and spanning modeling, data assimilation, data management and serving, observational capabilities, and application of HYCOM prediction system outputs. In addition to providing real-time, eddy-resolving global-and basin-scale ocean prediction systems for the US Navy and NOAA, this project also offered an outstanding opportunity for NOAA-Navy collaboration and cooperation, ranging from research to the operational level. This paper provides an overview of the global HYCOM ocean prediction system and highlights some of its achievements. An important outcome of this effort is the capability of the global system to provide boundary conditions to even higherresolution regional and coastal models.Oceanography Vol. In addition to operational eddyresolving global-and basin-scale ocean prediction systems for the US Navy and NOAA, respectively, this project offered an outstanding opportunity for NOAA-Navy collaboration and cooperation ranging from research to the operational level.

show abstract

Section: B Y E R I C P C H a S S I G N E T H A R L E Y E H U R L mentioning

confidence: 99%

US GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM)

Chassignet¹,

Hurlburt²,

Metzger³

et al. 2009

Oceanog.

Self Cite

403

193

View full text Add to dashboard Cite

show abstract

“…The model is designed to be applicable in a variety of global, regional and littoral applications. HYCOM has additionally been implemented as a global model and global ocean prediction system that can provide boundary conditions to nested models (Hurlburt et al, 2008; Chassignet et al, 2009). Output from the eddy‐resolving Pacific HYCOM, as presented here, is made available to users of interest for many types of applications.…”

Section: Discussionmentioning

confidence: 99%

Can an atmospherically forced ocean model accurately simulate sea surface temperature during ENSO events?

Kara

Hurlburt

Barron

et al. 2010

Tellus A: Dynamic Meteorology and Oceanography

Self Cite

View full text Add to dashboard Cite

The performance of an atmospherically forced ocean general circulation model (OGCM) in simulating daily and monthly sea surface temperature (SST) is examined during the historical El Niño Southern Oscillation (ENSO) events during the time period 1993–2003. For this purpose, we use the HYbrid Coordinate Ocean Model (HYCOM) configured for the North Pacific north of 20°S at a resolution of ≈9 km. There is no assimilation of (or relaxation to) SST data and no date‐specific assimilation of any data type. The ability of the model in simulating temporal variations of SST anomalies is discussed by comparing model results with two satellite‐based SST products. The HYCOM simulation gives a basin‐averaged monthly mean bias of 0.3 °C and rms difference of 0.6 °C over the North Pacific Ocean during 1993–2003. While the model is able to simulate SST anomalies with mean biases <0.5 °C in comparison to observations during most of the ENSO events, limitations in the accuracy of atmospheric forcing (specifically, net short‐wave radiation) have some influence on the accuracy of simulations. This is specifically demonstrated during the 1998 transition period from El Niño to La Niña, when a record large SST drop of ≈7 °C occurred in the eastern equatorial Pacific Ocean.

show abstract

“…Mariano (1990) tracks the motion of isocontours as displacement error. Hurlburt et al (2008) manually identify features in satellite imagery and model results and compare the positions by hand. A method similar to Clark et al (2010) is utilized by Helber et al (2010) such that data points are grouped into analysis windows.…”

Section: Introductionmentioning

confidence: 99%

Spatial Error Metrics for Oceanographic Model Verification

Ziegeler¹,

Dykes

Shriver

2012

Journal of Atmospheric and Oceanic Technology

Self Cite

View full text Add to dashboard Cite

A common problem with modern numerical oceanographic models is spatial displacement, including misplacement and misshapenness of ocean circulation features. Traditional error metrics, such as least squares methods, are ineffective in many such cases; for example, only small errors in the location of a frontal pattern are translated to large differences in least squares of intensities. Such problems are common in meteorological forecast verification as well, so the application of spatial error metrics have been a recently popular topic there. Spatial error metrics separate model error into a displacement component and an intensity component, providing a more reliable assessment of model biases and a more descriptive portrayal of numerical model prediction skill. The application of spatial error metrics to oceanographic models has been sparse, and further advances for both meteorology and oceanography exist in the medical imaging field. These advances are presented, along with modifications necessary for oceanographic model output. Standard methods and options for those methods in the literature are explored, and where the best arrangements of options are unclear, comparison studies are conducted. These trials require the reproduction of synthetic displacements in conjunction with synthetic intensity perturbations across 480 Navy Coastal Ocean Model (NCOM) temperature fields from various regions of the globe throughout 2009. Study results revealed the success of certain approaches novel to both meteorology and oceanography, including B-spline transforms and mutual information. That, combined with other common methods, such as quasi-Newton optimization and land masking, could best recover the synthetic displacements under various synthetic intensity changes.

show abstract

Eddy-resolving global ocean prediction

Cited by 28 publications

References 90 publications

US GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM)

US GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model (HYCOM)

Can an atmospherically forced ocean model accurately simulate sea surface temperature during ENSO events?

Spatial Error Metrics for Oceanographic Model Verification

Contact Info

Product

Resources

About