TY - JOUR
T1 - On the correlation between total condensate and moist heating in tropical cyclones and applications for diagnosing intensity
AU - Nolan, David S.
AU - Miyamoto, Yoshiaki
AU - Wu, Shun Nan
AU - Soden, Brian J.
N1 - Funding Information:
Acknowledgments. The authors acknowledge Dr. Tim DelSole for his guidance on statistics, and three anonymous reviewers whose comments led to significant improvements of this paper. This work was supported by the NASA CloudSat/CALIPSO Science Team Program under Grant NNXW16AP19G. Y. Miyamoto was supported by JSPS Scientific Research 26-358 for the Japanese Society for the Promotion of Science fellowship program for overseas researchers. All simulations for this study were produced at the University of Miami Center for Computational Sciences.
Funding Information:
The authors acknowledge Dr. Tim DelSole for his guidance on statistics, and three anonymous reviewers whose comments led to significant improvements of this paper. This work was supported by the NASA CloudSat/CALIPSO Science Team Program under Grant NNXW16AP19G. Y. Miyamoto was supported by JSPS Scientific Research 26-358 for the Japanese Society for the Promotion of Science fellowship program for overseas researchers. All simulations for this study were produced at the University of Miami Center for Computational Sciences.
Publisher Copyright:
© 2019 American Meteorological Society.
PY - 2019
Y1 - 2019
N2 - While the transfer of moist enthalpy from the ocean to the atmosphere is the fundamental energy source for tropical cyclones, the release of latent heat in moist convection is the mechanism by which this energy is converted into the kinetic and potential energy of these storms. Most observational estimates of this heat release rely on satellite estimates of rain rate. Here, examination of five high-resolution numerical simulations of tropical cyclones reveals that there is a close correlation between the total condensate and the total heating, even though the former quantity is an amount and the latter is a rate. This relationship is due to the fact that for condensate to be sustained at large values, it must be rapidly replaced by new condensate and associated latent heating. Total condensate and total rain rate within fixed radial distances such as 111 km also show good correlations with the current intensity of the storm, but surprisingly, high values of condensate at high altitudes and close to the storm center are not good predictors of imminent intensification. These relationships are confirmed with an additional ensemble of 270 idealized simulations of tropical cyclones with varying sizes and intensities. Finally, simulated measurements of total condensate are computed from narrow swaths modeled after the cloud profiling radar on the CloudSat satellite. Despite their narrow footprint and the fact that they rarely cut through the exact center of the cyclone, these estimates of total condensate also show a useful correlation with current intensity.
AB - While the transfer of moist enthalpy from the ocean to the atmosphere is the fundamental energy source for tropical cyclones, the release of latent heat in moist convection is the mechanism by which this energy is converted into the kinetic and potential energy of these storms. Most observational estimates of this heat release rely on satellite estimates of rain rate. Here, examination of five high-resolution numerical simulations of tropical cyclones reveals that there is a close correlation between the total condensate and the total heating, even though the former quantity is an amount and the latter is a rate. This relationship is due to the fact that for condensate to be sustained at large values, it must be rapidly replaced by new condensate and associated latent heating. Total condensate and total rain rate within fixed radial distances such as 111 km also show good correlations with the current intensity of the storm, but surprisingly, high values of condensate at high altitudes and close to the storm center are not good predictors of imminent intensification. These relationships are confirmed with an additional ensemble of 270 idealized simulations of tropical cyclones with varying sizes and intensities. Finally, simulated measurements of total condensate are computed from narrow swaths modeled after the cloud profiling radar on the CloudSat satellite. Despite their narrow footprint and the fact that they rarely cut through the exact center of the cyclone, these estimates of total condensate also show a useful correlation with current intensity.
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U2 - 10.1175/MWR-D-19-0010.1
DO - 10.1175/MWR-D-19-0010.1
M3 - Review article
AN - SCOPUS:85075578288
SN - 0027-0644
VL - 147
SP - 3759
EP - 3784
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 10
ER -