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Ángel F. Adames and Yi Ming

by dashed lines. Liquid water content and ice crystals are depicted with circles, as in Janiga and Zhang (2016) . The simulated SMDs are found to exhibit a life cycle where they develop over the Bay of Bengal, attain a maximum amplitude as they make landfall over India, and then dissipate as they reach the Arabian Sea. While this life cycle is consistent with previous studies ( Krishnamurthy and Ajayamohan 2010 ; Yoon and Chen 2005 ), it may also be due to our choice of index, which is centered

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Toward a Systematic Evaluation of Warm Conveyor Belts in Numerical Weather Prediction and Climate Models. Part I: Predictor Selection and Logistic Regression Model

Julian F. Quinting and Christian M. Grams

. Roy. Meteor. Soc. , 137 , 553 – 597 , https://doi.org/10.1002/qj.828 . 10.1002/qj.828 Dreiseitl , S. , and L. Ohno-Machado , 2002 : Logistic regression and artificial neural network classification models: A methodology review . J. Biomed. Inform. , 35 , 352 – 359 , https://doi.org/10.1016/S1532-0464(03)00034-0 . 10.1016/S1532-0464(03)00034-0 Drobot , S. D. , and J. A. Maslanik , 2002 : A practical method for long-range forecasting of ice severity in the Beaufort Sea . Geophys

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Fiaz Ahmed and J. David Neelin

in this study. Note that a land–sea mask was applied to ensure that selected grid points in the specified intervals did not contain data from both land and ocean. The remote sensing–based estimates of both precipitation and CWV—which rely on passive microwave imagers—suffer from greater uncertainty over land than over oceans owing to uncertainties in the estimates of the background surface emissivity ( Prigent et al. 2006 ; Tian et al. 2014 ). The satellite radiances are not assimilated into the

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