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algorithm ( Huffman et al. 2007 ). For the exterior portions of the analysis domain, model data from a special version of the NARR prepared for NAME ( Mo et al. 2007 ) are used. The resolution of the NARR product is 32 km, 45 vertical levels, and 3 h. e. Objective analysis In this study gridded fields of horizontal wind components u and υ , temperature T , water vapor mixing ratio q , and geopotential height z at 1° horizontal and 25-hPa vertical resolution have been computed from the quality-controlled
algorithm ( Huffman et al. 2007 ). For the exterior portions of the analysis domain, model data from a special version of the NARR prepared for NAME ( Mo et al. 2007 ) are used. The resolution of the NARR product is 32 km, 45 vertical levels, and 3 h. e. Objective analysis In this study gridded fields of horizontal wind components u and υ , temperature T , water vapor mixing ratio q , and geopotential height z at 1° horizontal and 25-hPa vertical resolution have been computed from the quality-controlled
gray line is same as the dark gray line except that the GCE was driven by tendencies from MERRA output. The two simulations generally agree well with each other and show the viability of using GCE+MERRA to obtain quality simulations for undersampled environments. Table 1. Summary of the five LH algorithms participating. Data inputs, retrieved products, and salient references included. Note that the conventional relationship between Q 1 (apparent heat source), LH, and Q R (radiative heating) is
gray line is same as the dark gray line except that the GCE was driven by tendencies from MERRA output. The two simulations generally agree well with each other and show the viability of using GCE+MERRA to obtain quality simulations for undersampled environments. Table 1. Summary of the five LH algorithms participating. Data inputs, retrieved products, and salient references included. Note that the conventional relationship between Q 1 (apparent heat source), LH, and Q R (radiative heating) is
). CSH LH estimates had been previously evaluated using in situ data [e.g., Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) and ship-based radar] and were reported to be of good quality for different regions of the tropics ( Tao et al. 2000 , 2001 ). The main shortcoming of the CSH algorithm is associated with its dependency on surface rainfall. In the absence of surface rainfall (e.g., nonsurface-precipitating anvils/young convection), the CSH
). CSH LH estimates had been previously evaluated using in situ data [e.g., Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) and ship-based radar] and were reported to be of good quality for different regions of the tropics ( Tao et al. 2000 , 2001 ). The main shortcoming of the CSH algorithm is associated with its dependency on surface rainfall. In the absence of surface rainfall (e.g., nonsurface-precipitating anvils/young convection), the CSH
