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Estimate of predictability of monthly means in tropics from observations

机译:通过观测估计热带地区月度均值的可预测性

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A method of separating the contributions from slowly varying boundary forcing and internal dynamics (e.g. intraseasonal oscillations) that determine the predictability of the monthly mean tropical climate is presented. Based on 33 years of daily low level wind observations and 24 years of satellite observations of outgoing long wave radiation, we shoes that the Indian monsoon climate is only marginally predictable, as the contribution of the boundary forcing in this region is relatively low and that of the internal dynamics is relatively large. Pt is also shown that excluding the Indian monsoon region, the predictable region is larger and predictability is higher in the tropics during northern summer. Even though the boundary forced variance is large during northern winter, the predictable region is smaller as the internal variance is larger and covers a larger region during that period (due to stronger intraseasonal activity).
机译:提出了一种从缓慢变化的边界强迫和内部动力学(例如季节内振荡)中分离出贡献的方法,该方法确定了月平均热带气候的可预测性。根据33年的每日低空风观测和24年的卫星对长波辐射的观测,我们发现印度季风气候只能勉强预测,因为该地区的边界强迫作用相对较低,而内部动力比较大。 Pt还显示,除印度季风地区外,北半球夏季的可预测区域更大,可预测性更高。即使北部冬季边界强迫变化较大,可预测区域也较小,因为内部变化较大,并且在此期间覆盖较大区域(由于较强的季节内活动)。

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