Implementation of Curvilinear Coordinate System in the WAVEWATCH III Model

Rogers, W. E.; Campbell, Timothy J.

doi:10.21236/ada507120

Cited by 13 publications

(15 citation statements)

References 9 publications

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“…The regional grid is, in fact, a subset of the Arctic grid, designed specifically for multiple, rapid testing of the new source functions. The grids are based on a polar stereographic projection at approximately 16 km resolution (see also Rogers and Campbell 2009).…”

Section: Resultsmentioning

confidence: 99%

Wave-Ice interaction in the Marginal Ice Zone: Toward a Wave-Ocean-Ice Coupled Modeling System

Rogers¹,

Posey²,

Zieger³

2015

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Our main objective is to improve an operational model for wind-generated surface gravity waves (WAVEWATCH III ®) such that it can accurately predict the attenuation and scattering of waves by interaction with ice in the Marginal Ice Zone (MIZ). The wave model physics developed here will later be part of an operational coupled model system, allowing feedback to ice, ocean, and atmospheric models. OBJECTIVES The specific objective of this proposal is to fully exploit the theoretical, observational, and ice/ocean/atmosphere numerical modeling work performed by various groups within the MIZ DRI and the "Sea State Sea State and Boundary Layer Physics of the Emerging Arctic Ocean" DRI to improve wave predictions. APPROACH The WAVEWATCH III model (Tolman 1991, Tolman et al. 2002, Tolman 2009) is a phase-averaged wave model solved by integrating the wave action conservation equation. Local rates of change of wave spectral density is determined by advection in four dimensions (two geographic and two spectral dimensions) and source terms representing various dynamic processes, such as energy transfer from the wind, and energy lost due to wave breaking. The approach in WAVEWATCH III ("WW3") version 3 (Tolman 2009) was to represent the effect of ice on waves as part of the advection, such that under partial ice cover, wave energy is partially blocked, with linear scaling of the blocked fraction according to ice concentration (Tolman 2003). This is a practical approach for an operational model, 1 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited.

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Section: Resultsmentioning

confidence: 99%

Wave-Ice interaction in the Marginal Ice Zone: Toward a Wave-Ocean-Ice Coupled Modeling System

Rogers¹,

Posey²,

Zieger³

2015

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“…A curvilinear grid implemented by Rogers and Campbell (2009) is suitable at high latitudes and adopted here with a polar stereographic projection of 75°N latitude (produced by Mathworks Matlab's polarstereo_inv function). The TodaiWW3-ArCS grid used in this study has an increased horizontal resolution of 4 km, and its domain was modified to only cover most of the Pacific side of the Arctic Ocean (which covers the following region of the polar stereographic grids: the easting extent between 145 −1,800 km and 1,512 km, and the northing extent between 520 km and 2,904 km).…”

Section: Third-generation Spectral Wave Modelmentioning

confidence: 99%

Satellite retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones

Nose

Waseda

Kodaira

et al. 2019

Preprint

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Satellite retrieved Sea Ice Concentration (SIC) uncertainty is studied with respect to its effect on spectral wave modelling of ice-covered water. Eight SIC products based on four algorithms applied to SSMIS and AMSR2 data were analysed.They were compared with sea-truth images captured from a 12 day fixed Marginal Ice Zone (MIZ) transect observation during the November 2018 R/V Mirai expedition in the Chukchi Sea. The analysis shows the refreezing sea ice field is highly variable in time and space, and the uncertainty of SIC estimates is considerable. A wave hindcast experiment for the observation period 5 using these SIC products as model forcing has shown that the SIC uncertainty translates to wave prediction discrepancies in ice cover. There is evidence that bivariate uncertainty data (model significant wave heights and SIC forcing) are correlated, although off-ice wave growth is more complicated due to the cumulative effect of SIC uncertainty and the model implementation of wave-ice interactions along an MIZ fetch. Analysis of significant wave height uncertainty distributions for SIC forcing and wave-ice interaction source terms reveals that they are both sizeable; however, the study concludes the more dominant 10 uncertainty source of modelling wave-ice interactions is the accuracy of satellite retrieved SIC estimates that are used as model forcing.

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“…Now, the nest domain points are mutually exclusive from others except where there is overlap within the buffer zone around the boundaries. In addition, it is possible run together domains with different grid types (specifically curvilinear grids vs. regular grids) passing wave energy across the boundaries in both directions (Rogers and Campbell, 2009). …”

Section: Multi-grid Model Descriptionmentioning

confidence: 99%

Operational Implementation Design for the Earth System Prediction Capability (ESPC): A First-Look

Metzger¹,

Dykes²,

Wallcraft³

et al. 2014

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Implementation of Curvilinear Coordinate System in the WAVEWATCH III Model

Abstract: This document describes modifications to the WAVEWATCH III wave model (Tolman 2002a) by the Naval Research Laboratory, Code 7322. This work is primarily concerned with the implementation of arbitrary structured grid (i.e., curvilinear) approach. Verification test cases are presented.

Cited by 13 publications

References 9 publications

Wave-Ice interaction in the Marginal Ice Zone: Toward a Wave-Ocean-Ice Coupled Modeling System

Wave-Ice interaction in the Marginal Ice Zone: Toward a Wave-Ocean-Ice Coupled Modeling System

Satellite retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones

Operational Implementation Design for the Earth System Prediction Capability (ESPC): A First-Look

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