The Navy Global Environmental Model

Hogan, Timothy F.; Ming, Liu; Ridout, James A.; Peng, Melinda S.; Whitcomb, T.; Ruston, Benjamin; Reynolds, C. A.; Eckermann, Stephen D.; Moskaitis, Jonathan R.; Baker, Nancy L.; McCormack, J. P.; Viner, Kevin C.; McLay, Justin; Flatau, Maria; Xu, Liang; Chen, Chaing; Chang, Simon

doi:10.5670/oceanog.2014.73

Cited by 234 publications

(158 citation statements)

References 20 publications

(21 reference statements)

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Section: B Navgem Reanalysismentioning

confidence: 99%

“…Hogan et al (2014) provide a detailed description of the key model and DA components. In common with other operational DA systems, the current operational NAVGEM has a rigid upper boundary at 0.04 hPa (z ; 70 km: Hogan et al 2014). For the DEEPWAVE reanalysis, the forecast model was reconfigured from 60 to 74 levels (L74) with a new upper boundary at 6 3 10 25 hPa (z ; 115 km), then augmented with a range of additional physical parameterizations needed to model the MLT.…”

Section: B Navgem Reanalysismentioning

confidence: 99%

See 1 more Smart Citation

Dynamics of Orographic Gravity Waves Observed in the Mesosphere over the Auckland Islands during the Deep Propagating Gravity Wave Experiment (DEEPWAVE)

Eckermann

Broutman

et al. 2016

Journal of the Atmospheric Sciences

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On 14 July 2014 during the Deep Propagating Gravity Wave Experiment (DEEPWAVE), aircraft remote sensing instruments detected large-amplitude gravity wave oscillations within mesospheric airglow and sodium layers at altitudes z ; 78-83 km downstream of the Auckland Islands, located ;1000 km south of Christchurch, New Zealand. A high-altitude reanalysis and a three-dimensional Fourier gravity wave model are used to investigate the dynamics of this event. At 0700 UTC when the first observations were made, surface flow across the islands' terrain generated linear three-dimensional wave fields that propagated rapidly to z ; 78 km, where intense breaking occurred in a narrow layer beneath a zero-wind region at z ; 83 km. In the following hours, the altitude of weak winds descended under the influence of a large-amplitude migrating semidiurnal tide, leading to intense breaking of these wave fields in subsequent observations starting at 1000 UTC. The linear Fourier model constrained by upstream reanalysis reproduces the salient aspects of observed wave fields, including horizontal wavelengths, phase orientations, temperature and vertical displacement amplitudes, heights and locations of incipient wave breaking, and momentum fluxes. Wave breaking has huge effects on local circulations, with inferred layer-averaged westward flow accelerations of ;350 m s 21 h 21 and dynamical heating rates, supporting recent speculation of important impacts of orographic gravity waves from subantarctic islands on the mean circulation and climate of the middle atmosphere during austral winter.

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Section: B Navgem Reanalysismentioning

confidence: 99%

Section: B Navgem Reanalysismentioning

confidence: 99%

Dynamics of Orographic Gravity Waves Observed in the Mesosphere over the Auckland Islands during the Deep Propagating Gravity Wave Experiment (DEEPWAVE)

Eckermann

Broutman

et al. 2016

Journal of the Atmospheric Sciences

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“…NAAPS is an offline aerosol model driven by Navy global meteorological models; formerly the Navy Operational Global Analysis Prediction System (NOGAPS; Hogan and Rosmand, 1991) and currently the Navy Global Environmental Model (NAVGEM; Hogan et al, 2014). As an initial exploration of aerosol forecast uncertainty and its dependencies on underlying meteorology, a 1 • resolution, 20-member ensemble version of NAAPS (ENAAPS) driven by the NOGAPS or NAVGEM meteorology ensemble was created.…”

Section: Introductionmentioning

confidence: 99%

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting

Rubin

Reid²,

Hansen³

et al. 2016

Atmos. Chem. Phys.

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Abstract. An ensemble-based forecast and data assimilation system has been developed for use in Navy aerosol forecasting. The system makes use of an ensemble of the Navy Aerosol Analysis Prediction System (ENAAPS) at 1 × 1 • , combined with an ensemble adjustment Kalman filter from NCAR's Data Assimilation Research Testbed (DART). The base ENAAPS-DART system discussed in this work utilizes the Navy Operational Global Analysis Prediction System (NOGAPS) meteorological ensemble to drive offline NAAPS simulations coupled with the DART ensemble Kalman filter architecture to assimilate bias-corrected MODIS aerosol optical thickness (AOT) retrievals. This work outlines the optimization of the 20-member ensemble system, including consideration of meteorology and sourceperturbed ensemble members as well as covariance inflation. Additional tests with 80 meteorological and source members were also performed. An important finding of this work is that an adaptive covariance inflation method, which has not been previously tested for aerosol applications, was found to perform better than a temporally and spatially constant covariance inflation. Problems were identified with the constant inflation in regions with limited observational coverage. The second major finding of this work is that combined meteorology and aerosol source ensembles are superior to either in isolation and that both are necessary to produce a robust system with sufficient spread in the ensemble members as well as realistic correlation fields for spreading observational information. The inclusion of aerosol source ensembles improves correlation fields for large aerosol source regions, such as smoke and dust in Africa, by statistically separating freshly emitted from transported aerosol species. However, the source ensembles have limited efficacy during long-range transport. Conversely, the meteorological ensemble generates sufficient spread at the synoptic scale to enable observational impact through the ensemble data assimilation. The optimized ensemble system was compared to the Navy's current operational aerosol forecasting system, which makes use of NAVDAS-AOD (NRL Atmospheric Variational Data Assimilation System for aerosol optical depth), a 2-D variational data assimilation system. Overall, the two systems had statistically insignificant differences in root-mean-squared error (RMSE), bias, and correlation relative to AERONETobserved AOT. However, the ensemble system is able to better capture sharp gradients in aerosol features compared to the 2DVar system, which has a tendency to smooth out aerosol events. Such skill is not easily observable in bulk metrics. Further, the ENAAPS-DART system will allow for new avenues of model development, such as more efficient lidar and surface station assimilation as well as adaptive sourcePublished by Copernicus Publications on behalf of the European Geosciences Union. 3928 J. I. Rubin et al.: Development of the ENAAPS and its application of the DART functions. At this early stage of development, the parity with th...

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“…In addition, predictive equations for the water vapor, microphysics (cloud water, cloud ice, rainwater, snow, and graupel concentrations), and turbulence kinetic energy are included. In this study, the model was forced by Navy Global Environmental Model (NAVGEM) [23] fields at the boundaries and initial time. The inner-most nested grid, centered over the Monterey Bay region, was 163 × 196 grid points in the horizontal (333 m resolution) with 60 vertical levels (5 in the lowest 100 m).…”

Section: Methodsmentioning

confidence: 99%

Numerical Study on the Effect of Air–Sea–Land Interaction on the Atmospheric Boundary Layer in Coastal Area

Yang

Calderer

et al. 2018

Atmosphere

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Abstract:We have performed large-eddy simulations (LES) to study the effect of complex land topography on the atmospheric boundary layer (ABL) in coastal areas. The areas under investigation are located at three beaches in Monterey Bay, CA, USA. The sharp-interface immersed boundary method is employed to resolve the land topography down to grid scale. We have considered real-time and what-if cases. In the real-time cases, measurement data and realistic land topographies are directly incorporated. In the what-if cases, the effects of different scenarios of wind speed, wind direction, and terrain pattern on the momentum flux at the beach are studied. The LES results are compared with simulations using the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) and field measurement data. We find that the land topography imposes a critical influence on the ABL in the coastal area. The momentum fluxes obtained from our LES agree with measurement data. Our results indicate the importance of capturing the effects of land topographies in simulations.

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The Navy Global Environmental Model

Cited by 234 publications

References 20 publications

Dynamics of Orographic Gravity Waves Observed in the Mesosphere over the Auckland Islands during the Deep Propagating Gravity Wave Experiment (DEEPWAVE)

Dynamics of Orographic Gravity Waves Observed in the Mesosphere over the Auckland Islands during the Deep Propagating Gravity Wave Experiment (DEEPWAVE)

Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting

Numerical Study on the Effect of Air–Sea–Land Interaction on the Atmospheric Boundary Layer in Coastal Area

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