subsequent Atlantic hurricane season. Xidong Wang1 ... d) cold SST anomalies. (Shaded, Unit: °C) in the MDR of the Atlantic hurricane during 1951-2010.
Geophysical Research Letters Supporting Information for Persistent influence of tropical North Atlantic wintertime sea surface temperature on the subsequent Atlantic hurricane season Xidong Wang1, Hailong Liu*2, Gregory R. Foltz3 1. College of Oceanography, Hohai University, Nanjing 210098, China 2. Institute of Oceanography, Shanghai Jiaotong University, Shanghai 200240, China 3. NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
Contents of this file Figures S1 to S7
Introduction This supporting information provides the additional figures to support the conclusion of this study. The data used is the same as the data introduced in the section of data and methods of the main article. 1
Figure S1. Trajectories of tropical storms (TS) and hurricanes (HU) in the subsequent hurricane season (June‐November) associated with winter (a, c) warm and (b, d) cold SST anomalies (Shaded, Unit: °C) in the MDR of the Atlantic hurricane during 1951‐2010.
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Figure S2. Monthly hurricane climatology (gray), and monthly average number of tropical storms (TS), hurricanes (HU), major hurricanes (MH) and ACE (Unit: 104 kn2) from June to November for the preceding winter warm years (red) and cold years (blue) during 1951‐2010.
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Figure S3. Composites of track density anomaly for the tropical cyclones (multiplied by 10) during the hurricane season (June‐November) for the preceding winter (a) warm and (b) cold years during 1951‐2010.
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Figure S4. Composites of subsequent hurricane season SST anomalies (Shaded, Unit: °C) and vertical wind shear anomalies between 200 hPa and 850 hPa (Contours, Unit: m/s, Contour interval: 0.5) for (a) the winter warm years and (b) winter cold years during 1951‐2010. The dashed and solid contours indicate positive and negative vertical wind shear anomalies, respectively.
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Figure S5. Seasonal evolution composites of SST, downward longwave radiation flux (DLWRF), cloud forcing net longwave radiation (CFNLF) and precipitable water content (PRWTR) for the winter warm years (Red Line), cold years (Blue line) and climatology (Black line) during 1951‐ 2010.
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Figure S6. Scatter plots between June‐November (JJASON) averaged total cloud cover (TCDC), precipitable water content (PRWTR) and net longwave radiation (NLWRS) during 1951‐2010. Italic correlation coefficients are statistically significant at the 95% confidence level. The red and blue dots indicate the values in the ten winter warm and cold years, respectively.
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Figure S7. Correlations between JFM MDR SST and each month MDR SST during 1951‐2010. Dashed line indicates the 95% confidence level. The linear trend is removed by the linear regression. The decadal‐multidecadal variability is obtained by performing a 7‐year low‐pass filter to the detrended SST. The interannual variability is calculated by subtracting the decadal‐ multidecadal variability from the detrended SST.
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