Improving surface wind databases for extreme wind-wave simulation and analysis in the South Atlantic Ocean

Alves, Jose-Henrique; Campos, Ricardo M.; Soares, C. Guedes; Parente, Carlos E.

doi:10.7289/V5/ON-NCEP-491

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Improving surface wind databases for extreme wind-wave simulation and analysis in the South Atlantic Ocean

2017
By Alves, Jose-Henrique ; Campos, Ricardo M. ; Soares, C. Guedes ; ...
Series: Office note (National Centers for Environmental Prediction (U.S.)) ; 491

[PDF-3.60 MB]

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Personal Author:

Alves, Jose-Henrique ; Campos, Ricardo M. ; Soares, C. Guedes ; Parente, Carlos E.

Alves, Jose-Henrique ; Campos, Ricardo M. ; Soares, C. Guedes ; Parente, Carlos E. Less -
Corporate Authors:

National Centers for Environmental Prediction (U.S.)
NOAA Program & Office:

NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction)

NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) Less -
Description:

An investigation is made of the quality of a publicly available atmospheric reanalysis as potential sources for winds driving wind-wave hindcasts, focusing on extreme sea state applications in the South Atlantic Ocean, namely the Climate Forecast System Reanalysis (CFSR/NCEP). Significant CFSR surface wind biases are found relative to buoy and satellite measurements, particularly in upper-percentiles. Two different approaches for calibration of the CFSR wind data are presented and compared. One applies a simple linear regression model, with coefficients obtained from the comparison of CFSR against buoy data. The second is a method where deficiencies of the CFSR associated with severe sea state events are remedied, whereby "defective" winds are replaced with satellite data within cyclones. Linear regression generally increases in around 5% to 6% CFSR wind intensities. However, the process still retains an underestimation by CFSR of up to 25% of remotely-sensed winds within strong extra-tropical storms. Under intense cyclonic conditions, the proposed method of blending satellite-derived cyclonic wind fields with background CFSR data proves effective, leading to a better representation of winds both during ambient or extreme conditions. Six alternative wind data sets are built to force the wave model WAVEWATCH III, focusing on the South Atlantic. Assessment of results points to a significant advantage of combining both CFSR wind adjustment methods, which jointly produce high-quality winds with benefits for wave hindcasts and general applications including extreme wave analysis.
Content Notes:

Jose-Henrique G. M. Alves, Ricardo M. Campos, Carlos Guedes Soares, Carlos E. Parente.

"MMAB contribution 332."

"October 31, 2017."

"This is an internal-reviewed manuscript, primarily intended for informal exchange of information among the ncep staff members."

Includes bibliographical references (pages 33-36).
Keywords:

[+]

Air Speed Analysis Forecasting Mathematical Models Numerical Weather Forecasting Simulation Methods Wind Waves
Series:

Office note (National Centers for Environmental Prediction (U.S.)) ; 491
DOI:

http://doi.org/10.7289/V5/ON-NCEP-491
Document Type:

Office Note
Place as Subject:

United States ; South Atlantic Ocean

United States ; South Atlantic Ocean Less -
Rights Information:

Public Domain
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Library
Main Document Checksum:

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urn:sha256:f2c8ef26b984fab072028f469ead0b9390ba63201a52b81bce824c5f18b624bf
Download URL:

https://repository.library.noaa.gov/view/noaa/16096/noaa_16096_DS1.pdf
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Improving surface wind databases for extreme wind-wave simulation and analysis in the South Atlantic Ocean

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