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Seasonal Variations of Gravity Wave Variance Inferred from CLAES

机译:从克里斯推断的重力波方差的季节变化

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Gravity wave variances in CLAES temperature data are isolated by a 0-6 zonal wavenumber Kalman filter. Resulting vertical profiles of temperature residuals are analyzed by a combination of Maximum Entropy Method (MEM) and harmonic analysis for gravity waves (GWs). This is the same method previously employed to study GWs in CRISTA data. We obtain nearly 1.5 years of continuous GW data between 34S and 34N and good coverage at higher latitudes depending on UARS yaw maneuvers. A time series of zonal mean GW variance shows the seasonal shift of the tropical maximum of GW variance around the equator. Maximum variances are reached 1-2 months after summer solstice, consistent with the shift of the inner tropical convergence zone. Quiet summer and enhanced winter values at mid and high latitudes are due to a combination of wind filtering and wind modulation. Wind filtering occurs when GWs propagate from tropospheric west winds into the lower stratosphere. There prevailing winds reverse from west wind in winter to east wind in summer, thus causing a critical layer for low phase speed GWs during summer. The term wind modulation is used for the Doppler shift of the GW spectrum by the wind at the observation altitude shifting parts of the GW spectrum in and out the vertical-wavelength visibility limits of the instrument. We find evidence for both processes in the data and indication that GW filtering might be the more important one.
机译:CLAES温度数据中的重力波差异由0-6个Zonal Wavenumber Kalman滤波器隔离。通过最大熵方法(MEM)和重力波(GWS)的谐波分析和谐波分析来分析所得到的温度残差的垂直轮廓。这是先前用于研究CRISTA数据的GWS的相同方法。我们在34秒和34N之间获得近1.5年的连续GW数据,并根据UAR偏航机会在更高的纬度下覆盖覆盖范围。一个带有区域均值GW方差的时间序列显示了赤道周围GW方差的热带最大值的季节转变。夏至1-2个月后达到最大差异,符合内部热带收敛区的偏移。安静的夏季和中期和高纬度的增强冬季值都是由于风滤波和风调制的组合。当GW从对流层西风传播到较低的平流层时,发生风滤波。夏季,在冬季向东风越过西风而逆转,从而导致夏季低相速GW的临界层。术语风调制用于通过风在仪器的观察高度移位部分的观察高度移位部分的宽度转换的多普勒偏移。我们发现数据中的过程的证据,并指示GW过滤可能是更重要的。

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