Clarifying remotely-retrieved precipitation of shallow marine clouds from the NSF/NCAR Gulfstream V
Clarifying remotely-retrieved precipitation of shallow marine clouds from the NSF/NCAR Gulfstream V
复制标题
澄清从 NSF/NCAR Gulfstream V 远程反演的浅海云降水
DOI:
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发表时间:
2021
影响因子:
2.2
通讯作者:
V. Ghate
中科院分区:
文献类型:
--
作者:
M. Sarkar;P. Zuidema;V. Ghate
Precipitation is a key process within the shallow cloud lifecycle. The Cloud System Evolution in the Trades (CSET) campaign included the first deployment of a 94 GHz Doppler radar and 532 nm lidar. Despite a larger sampling volume, initial mean radar/lidar retrieved rain rates (Schwartz et al. 2019) based on the upward-pointing remote sensor datasets are systematically less than those measured by in-situ precipitation probes in the cumulus regime. Subsequent retrieval improvements produce rainrates that compare better to in-situ values, but still underestimate. Retrieved shallow cumulus drop sizes can remain too small and too few, with an overestimated shape parameter narrowing the raindrop size distribution too much. Three potential causes for the discrepancy are explored: the gamma functional fit to the dropsize distribution, attenuation by rain and cloud water, and an underaccounting of Mie dampening of the reflectivity. A truncated exponential fit may represent the dropsizes below a showering cumulus cloud more realistically, although further work would be needed to fully evaluate the impact of a different dropsize representation upon the retrieval. The rain attenuation is within the measurement uncertainty of the radar. Mie dampening of the reflectivity is shown to be significant, in contrast to previous stratocumulus campaigns with lighter rain rates, and may be difficult to constrain well with the remote measurements. An alternative approach combines an a priori determination of the dropsize distribution width based on the in-situ data with the mean radar Doppler velocity and reflectivity. This can produce realistic retrievals, although a more comprehensive assessment is needed to better characterize the retrieval errors.
影响因子:
3.2
作者:
Blossey, Peter N.;Bretherton, Christopher S.;Mohrmann, Johannes
通讯作者:
Mohrmann, Johannes
影响因子:
8
作者:
B. Stevens;F. Ament;S. Bony;S. Crewell;Florian Ewald;S. Groß;Akio Hansen;L. Hirsch;M. Jacob;T. Kölling;Heike Konow;B. Mayer;M. Wendisch;M. Wirth;Kevin Wolf;S. Bakan;M. Bauer-Pfundstein;M. Brueck;J. Delanoë;A. Ehrlich;D. Farrell;Marvin Forde;Felix Gödde;H. Grob;M. Hagen;E. Jäkel;F. Jansen;C. Klepp;M. Klingebiel;M. Mech;G. Peters;M. Rapp;A. Wing;T. Zinner
通讯作者:
B. Stevens;F. Ament;S. Bony;S. Crewell;Florian Ewald;S. Groß;Akio Hansen;L. Hirsch;M. Jacob;T. Kölling;Heike Konow;B. Mayer;M. Wendisch;M. Wirth;Kevin Wolf;S. Bakan;M. Bauer-Pfundstein;M. Brueck;J. Delanoë;A. Ehrlich;D. Farrell;Marvin Forde;Felix Gödde;H. Grob;M. Hagen;E. Jäkel;F. Jansen;C. Klepp;M. Klingebiel;M. Mech;G. Peters;M. Rapp;A. Wing;T. Zinner
影响因子:
5.2
作者:
Fuchs‐Stone, Ž.;Raymond, D. J.;Sentić, S.
通讯作者:
Sentić, S.