Search Results

You are looking at 11 - 20 of 1,077 items for :

  • Waves, atmospheric x
  • Weather and Forecasting x
  • All content x
Clear All
Carl F. Dierking

(NGM), a synoptic-scale model, to predict atmospheric conditions favorable for mountain wave development. 2. Methodology a. Wave theory and Taku winds The Taku wind was most recently examined by Colman and Dierking (1992) , who concluded that it is the product of an amplified mountain wave, which is well documented as the source of many mountain windstorms. Linear theory was used by Klemp and Lilly (1975) to suggest that vertically propagating waves were reflected by variations in atmospheric

Full access
Ashley Ellenson and H. Tuba Özkan-Haller

, specifically atmospheric forcing, will directly affect wave model skill ( Cavaleri 2009 ). Predicting highly energetic and fast-moving atmospheric features that lead to large wave conditions can be especially difficult ( Bidlot et al. 2002 ), and this can contribute to larger wave prediction errors during large wave conditions. Simulations that utilize different combinations of wind input and parameterizations of physical processes (model physics) clearly suggest that a more accurate wind input will yield

Full access
M. L. Khandekar and R. Lalbeharry

VOL. 11, NO. 2 JUNE 1996 WEATHER AND FORECASTING An Evaluation of Environment Canada's Operational Ocean Wave Model Based on Moored Buoy Data M. L. KHANDEKAR AND R. LALBEHARRY Atmospheric Environment Service, Downsview, Ontario, Canada (Manuscript received 17 March 1995, in final form 24 August 1995) ABSTRACT An operational ocean wave model called the Canadian Spectral Ocean Wave Model ( CSOWM) has been implemented in the operational forecasting system of the Atmospheric

Full access
Natacha B. Bernier, Jose-Henrique G. M. Alves, Hendrik Tolman, Arun Chawla, Syd Peel, Benoit Pouliot, Jean-Marc Bélanger, Pierre Pellerin, Mario Lépine, and Michel Roch

and spectral resolutions, the inclusion of time-evolving ice fields, upgrades to the physics package, and a better representation of the atmospheric forcing. (ii) Evaluate, for the first time, the Canadian operational wave forecasts within the Arctic Ocean. Both in situ and satellite observations are used to discuss forecast skill. (iii) Fix the long-standing issue of poorly forecast swell seas on the northeast Pacific coast. We will demonstrate that the increased spatial coverage of the global

Full access
Hendrik L. Tolman, Bhavani Balasubramaniyan, Lawrence D. Burroughs, Dmitry V. Chalikov, Yung Y. Chao, Hsuan S. Chen, and Vera M. Gerald

relations and idealized spectral shapes (so-called hybrid models), or by modeling S nl based on results for simplified spectral shapes (so-called discrete models). The first spectral model used operationally at NCEP (then known as the National Meteorological Center, NMC) was based on the second-generation “SAIL” model ( Cardone and Ross 1977 ). The NMC version of the SAIL model, named the National Oceanic and Atmospheric Administration (NOAA) Operational Wave Model (NOW), became operational in 1985

Full access
Yamei Xu, Tim Li, and Melinda Peng

TC genesis in the WNP is a northwest–southeast-oriented wave train that does not involve a preexisting TC. Lau and Lau (1990) showed that this TD type of perturbation is a dominant synoptic-scale mode in the summertime WNP. Chang et al. (1996) examined the wave trains in the Navy Operational Global Atmospheric Prediction System (NOGAPS) analysis data and found that the wave trains are well presented regardless of whether a TC bogus was used in the analysis. Dickinson and Molinari (2002

Full access
Valdir Innocentini and Ernesto Dos Santos Caetano Neto

-area meteorologicalmodel, and a second-generation prognostic wave model. The atmospheric model results indicated the presence of a long-lived and large fetch with surface windvelocities higher than 12 m s0 1 directed toward the coast. Some areas with velocities of 20 m s0 1 were embeddedin the fetch. The wave model forced by this wind field was able to simulate waves with a significant height of8 m far from the coast and about 4 m inregions very close to the Brazilian coast in agreement with the occurrencereported

Full access
Charles R. Sampson, Paul A. Wittmann, Efren A. Serra, Hendrik L. Tolman, Jessica Schauer, and Timothy Marchok

. Traditionally, third-generation spectral ocean wave models such as WAVEWATCH III ( Tolman 1991 ; Tolman et al. 2002 ) are run with NWP model surface winds to produce significant wave height forecasts. The Fleet Numerical Meteorology and Oceanography Center (FNMOC) runs WAVEWATCH III using winds from the Navy Operational Global Atmospheric Prediction System (NOGAPS; Hogan and Rosmond 1991 ) as described in Rogers et al. (2005) , which will be referred to as NOGAPS/WW3 in the future. One issue with using

Full access
R. M. Clancy and LCDR W. D. Sadler

)boundary condition for atmospheric models, and supply surface currents in support of ocean search andrescue and optimum track ship routing. The sea-icemodels predict ice thickness, concentration, and driftin support of the navy's Arctic operations. Finally, thewave models predict directional wave energy spectraand wave height, period, and direction fields in supportof ship routing, the issuance of high-seas warnings, anda variety of other activities. Although no fully two:way interactive air-sea models are

Full access
Wayne F. Feltz and John R. Mecikalski

convection. The primary reason for the difficulty in forecasting the event was an underinitialized jet stream wind maximum and short wave within the operational forecast models. The features were located off of the Pacific coast of the United States at 1200 UTC 3 May 1999 ( Thompson and Edwards 2000 ). The jet stream maximum subsequently traversed northern Mexico and did not become realized within the U.S. observation network until it was observed by several wind profilers in the southwest United States

Full access