An Overview of Fleet Numerical Oceanography Center Operations and Products

Nelson, Cynthia A.; Aldinger, W. Tyson

doi:10.1175/1520-0434(1992)007<0204:aoofno>2.0.co;2

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unclassified products can also be obtained by "on scene" users through dial-in access to FNMOC via the Navy Oceanographic Data Distribution System. See Nelson and Aldinger (1992) and Plante and Clancy (1994) for an in-depth discussion of FNMOC.…”

Section: Fleet Numerical Meteorology and Oceanographymentioning

confidence: 99%

Cooperation and Collaboration among the Nation's Meteorology, Oceanography, and Satellite Operational Processing Centers: An Evolving Era in U.S. Civilian-Military Partnerships

Dumont¹,

Nelson²,

Caviness³

et al. 1996

Bull. Amer. Meteor. Soc.

Self Cite

View full text Add to dashboard Cite

The United States has several meteorological, oceanographic, and satellite operational processing centers (OPCs) in the military and civilian sectors. Separate cooperative and complementary military and civilian OPCs provide sufficient redundancy for backup purposes; permit the development of state-of-the-art forecasting schemes, such as the ensemble technique; and ensure the diverse environmental needs of military and civilian users are met with the most efficient use of resources. The effective collaboration of the military and civilian OPCs has resulted in the development of a truly national meteorological and oceanographic resource not attainable within any single agency.

show abstract

Section: Fleet Numerical Meteorology and Oceanographymentioning

confidence: 99%

Cooperation and Collaboration among the Nation's Meteorology, Oceanography, and Satellite Operational Processing Centers: An Evolving Era in U.S. Civilian-Military Partnerships

Dumont¹,

Nelson²,

Caviness³

et al. 1996

Bull. Amer. Meteor. Soc.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The United States Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC)is the Department of Defense (DoD) main source for standard meteorological and oceanographic (METOC)prediction products [Nelson and Aldinger, 1992]. At the heart of these predictions is the Navy Operational Global Atmospheric Prediction System (NOGAPS), a short-to medium-range (6 days) numerical Research has also been conducted with lower-resolution versions (T47L18 and T63L 18) of the NOGAPS 3.4 forecast model in a climate mode.…”

Section: Introductionmentioning

confidence: 99%

Analysis of ocean surface heat fluxes in a NOGAPS climate simulation: Influences from convection, clouds and dynamical processes

Waliser¹,

Hogan²

2000

J. Geophys. Res.

View full text Add to dashboard Cite

Abstract. This study examines the simulation quality of the surface heat flux fields produced during a climate simulation of the Navy Operational Global Atmospheric Prediction System, version 3.4, with a reduced spectral truncation of T63 and 18 levels (herineafter referred to as NOGAPS-CL). Comparisons are made between a 17-year NOGAPS-CL simulation using monthly sea surface temperatures as surface boundary conditions and a number of validating data sets consisting of ship, satellite, and/or reanalysis-based surface heat fluxes, precipitation, top of the atmosphere radiation budget, water vapor, cloud frequency, surface wind stress, and tropospheric winds. In this extended, long-range integration, NOGAPS-CL underpredicts the net surface shortwave flux in much of the subtropical oceans and overpredicts the net shortwave flux in the western Pacific warm pool and the midlatitude oceans, when compared to several satellite-derived climatological data sets. In addition, NOGAPS-CL over predicts the latent heat flux in much of the subtropics and under predicts the latent heat flux over the northern ocean western boundary currents and under the storm track regions that extend eastward from them. These shortwave and evaporation biases combine to produce errors in the surface net heat flux, with too little heat entering the subtropical/tropical oceans and too much heat loss in the midlatitudes oceans. Examination of related quantities indicates that the tropical climate biases are coupled to shortcomings in the convective cloud and/or boundary layer parameterizations which leads to the premature release of moist instability from the boundary layer in regions just outside the deep convective zones. This leads to enhanced climatological cloudiness, rainfall, and surface evaporation, as well as to a reduction in the surface shortwave flux and outgoing longwave radiation (OLR), in the subtropical regions. Furthermore, because of this early release of the moist static energy, there is a reduction in clouds, rainfall and water vapor content, as well as enhanced surface shortwave flux and outgoing longwave radiation, in the deep convective zones. The reduction in rainfall and enhanced OLR reduces the strength of the tropical large-scale circulation, which in turn reduces the strength of the subsidence in the subtropical regions which normally acts to suppress the convection processes in these regions. The implications of these results are discussed in terms of the relationship among the forecast model climatological surface fluxes, convection, clouds, and the dynamical processes, as well as their similarities to other climate models and their possible impact on the simulation of transient systems.

show abstract

An Overview of Fleet Numerical Oceanography Center Operations and Products

Cited by 2 publications

References 0 publications

Cooperation and Collaboration among the Nation's Meteorology, Oceanography, and Satellite Operational Processing Centers: An Evolving Era in U.S. Civilian-Military Partnerships

Cooperation and Collaboration among the Nation's Meteorology, Oceanography, and Satellite Operational Processing Centers: An Evolving Era in U.S. Civilian-Military Partnerships

Analysis of ocean surface heat fluxes in a NOGAPS climate simulation: Influences from convection, clouds and dynamical processes

Contact Info

Product

Resources

About