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Using the mean pressure gradient and NCEP/NCAR reanalysis to estimate the strength of the South Atlantic Anticyclone
Affiliation:1. National Institute for Space Research – INPE, Center for Weather Forecast and Climate Studies – CPTEC, Rodovia Presidente Dutra, km 40, Cachoeira Paulista, São Paulo, Brazil;2. Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States;1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, PR China;2. College of Mechanical and Electrical Engineering, Central South University of Forestry and Teleology, 410014 Changsha, PR China;1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082, PR China;2. School of Logistics, Central South University of Forestry and Teleology, Changsha, 41004, PR China
Abstract:A new methodology is proposed to estimate the strength of the South Atlantic Anticyclone (SAA), using the gridded sea level pressure (SLP) of the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis data. The top quartile (1017.3 hPa) of the SLP data was found a reasonable criterion to delimit the SAA area. Consequently, we defined the SAA area as the quadrangle containing 80% of the observations with pressure >1017.3 hPa. In this quadrangle, an area weighted pressure gradient (AWPG) was computed for the whole area and for the north–south and west–east halves. When compared with maximum pressure, the AWPG showed a better correlation with the significant wave height (SWH) and wind speed (WS) derived from altimetry. The mean value of the AWPG was 8 × 10−4 Pa/m, with representative values of 9.1 × 10−4 Pa/m and 7.4 × 10−4 Pa/m for austral winter and summer, respectively. The phase difference between the monthly AWPG in the north and south sub-quadrangles accounts for the evolution of the spatial pattern of the anticyclone throughout a year. This quantitative approach proved to be a useful estimate of the strength of South Atlantic Anticyclone. Further improvements of this approach are discussed.
Keywords:Pressure gradient force  Horizontal gradient  Wind field  Vectorial field
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