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Statistical Properties of Cloud Lifecycles in Cloud-resolving Models : Volume 8, Issue 6 (09/12/2008)

By Plant, R. S.

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Book Id: WPLBN0003979310
Format Type: PDF Article :
File Size: Pages 28
Reproduction Date: 2015

Title: Statistical Properties of Cloud Lifecycles in Cloud-resolving Models : Volume 8, Issue 6 (09/12/2008)  
Author: Plant, R. S.
Volume: Vol. 8, Issue 6
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2008
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Plant, R. S. (2008). Statistical Properties of Cloud Lifecycles in Cloud-resolving Models : Volume 8, Issue 6 (09/12/2008). Retrieved from http://worldlibrary.net/


Description
Description: Department of Meteorology, University of Reading, Earley Gate, Reading, P.O. Box 243, RG6 6BB, UK. A new technique is described for the analysis of cloud-resolving model simulations, which allows one to investigate the statistics of the lifecycles of cumulus clouds. Clouds are tracked from timestep-to-timestep within the model run. This allows for a very simple method of tracking, but one which is both comprehensive and robust. An approach for handling cloud splits and mergers is described which allows clouds with simple and complicated time histories to be compared within a single framework. This is found to be important for the analysis of an idealized simulation of radiative-convective equilibrium, in which the moist, buoyant, updrafts (i.e., the convective cores) were tracked. Around half of all such cores were subject to splits and mergers during their lifecycles. For cores without any such events, the average lifetime is 30 min, but events can lengthen the typical lifetime considerably.

Summary
Statistical properties of cloud lifecycles in cloud-resolving models

Excerpt
Arakawa, A. and Schubert, W. H.: Interaction of a~cumulus cloud ensemble with the large-scale environment. Part I, J. Atmos. Sci., 31, 674–701, 1974.; Carvalho, L. M. V. and Jones, C.: A~satellite method to identify structural properties of mesoscale convective systems based on the maximum spatial correlation tracking technique (MASCOTTE), J. Appl. Meteorol., 40, 1683–1701, 2001.; Cho, H.-R.: Contributions of cumulus cloud life-cycle effects to the large-scale heat and moisture budget equations, J. Atmos. Sci., 34, 87–97, 1977.; Cohen, B. G. and Craig, G. C.: The response time of a~convective cloud ensemble to a~change in forcing, Q. J. Roy. Meteor. Soc., 130, 933–944, 2004.; Cohen, B. G. and Craig, G. C.: Fluctuations in an equilibrium convective ensemble. Part II: Numerical experiments, J. Atmos. Sci., 63, 2005–2015, 2006.; Davies, L.: Self organisation of convection as a~mechanism for memory, Ph.D. thesis, University of Reading, UK, 165~pp., 2008.; Derbyshire, S. H., Brown, A. R., and Lock, A. P.: The Meteorological Office Large-Eddy Simulation Model, Met O (APR) Turbulence and Diffusion Note No. 213, Met Office, UK, 1994.; Dixon, M. and Wiener, G.: TITAN: thunderstorm identification, tracking, analysis and nowcasting – a~radar-based methodology, J. Atmos. Ocean Tech., 10, 785–797, 1993.; Done, J., Davis, C. A., and Weisman, M.: The next generation of NWP: Explicit forecasts of convection using the weather research and forecasting (WRF) model, Atmos. Sci. Lett., 5, 110–117, 2004.; Foote, G. B. and Mohr, C. G.: Results of a~randomized hail suppression experiment in northeast Colorado. Part VI: Post hoc stratification by storm intensity and type, J. Appl. Meteorol., 18, 1589–1600, 1979.; Gray, M. E. B., Petch, J., Derbyshire, S. H., Brown, A. R., Lock, A. P., Swann, H. A., and Brown, P. R. A.: Version 2.3 of the Met Office Large Eddy Model. Part II: Scientific documentation, Met O (APR) Turbulence and Diffusion Note No. 276, Met Office, UK, 2001.; Hozumi, K., Harimaya, T., and Magono, C.: The size distribution of cumulus clouds as a~function of cloud amount, J. Meteorol. Soc. Jpn., 60, 691–699, 1982.; Kain, J. S.: The Kain–Fritsch convective parameterization: An update, J. Appl. Meteorol., 43, 170–181, 2004.; LeMone, M. A. and Zipser, E. J.: Cumulonimbus vertical velocity events in GATE. Part I: Diameter, intensity and mass flux, J. Atmos. Sci., 37, 2444–2457, 1980.; Khairoutdinov, M., Randall, D., and DeMott, C.: Simulations of the atmospheric general circulation using a~cloud-resolving model as a~superparameterization of physical processes, J. Atmos. Sci., 62, 2136–2154, 2005.; Kuo, K.-S., Welch, R. M., and Weger, R. C.: The three-dimensional structure of cumulus clouds over the ocean. 1: Structural analysis, J. Geophys. Res., 98, 20 865–20 711, 1993.; Lennard, R.: The distribution of cumulus cloud sizes, MSc thesis, University of Reading, UK, 67~pp., 2004.; Machado, L. A. T. and Laurent, H.: The convective system area expansion over Amazonia and its relationships with convective system life duration and high-level wind divergence, Mon. Weather Rev., 132, 714–725, 2004.; Petch, J. C., Brown, A. R., and Gray, M. E. B.: The impact of horizontal resolution on the simulations of convective development over land, Q. J. Roy. Meteor. Soc., 128, 2031–2044, 2002.; Petch, J. C., Willett, M., Wong, R. Y., and Woolnough, S. J.: Modelling suppressed and active convection. Comparing a~numerical weather prediction, cloud-resolving and single-column model, Q. J. Roy. Meteor. Soc., 133, 1087–1100, 2007.; Plank, V. G.: The size distribution of cumulus clouds in representative Florida populations, J. Appl. Meteorol., 8, 46–67, 1969.; Plant, R. S. and Craig, G. C.: A~stochastic parameterization for deep convection based on equilibrium statistics, J. Atmos. Sci., 65, 87–105, 2008.; Roberts, N. M. and Lean, H. W.: Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events, Mon. Weather Rev., 136

 

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