Effects of atmospheric particle concentration on cloud mocrophysics over Arecibo

Journal of Geophysical Research Atmospheres

Volumn 111, Issue 9, 2006, Pages

  Comarazamy, Daniel E ^a   Gonzalez, Jorge E ^b   Tepley, Craig A ^c   Raizada, Shikha ^c   Pandya, R V R ^a  

^a UNIVERSITY OF PUERTO RICO   (Puerto Rico)

^b Department of Computer Science and Engineering   (United States)

^c ARECIBO OBSERVATORY   (Puerto Rico)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUDS; CONDENSATION; PARTICLES (PARTICULATE MATTER); PRECIPITATION (METEOROLOGY); RAIN;

ATMOSPHERIC MODELING; ATMOSPHERIC PARTICLE; CLOUD CONDENSATION NUCLEUS; CLOUD MICROPHYSICS; CONCENTRATION (COMPOSITION); PRECIPITATION (CLIMATOLOGY);

ARECIBO; ATLANTIC ISLANDS; ATLANTIC OCEAN; CARIBBEAN ISLANDS; GREATER ANTILLES; PUERTO RICO;

EID: 33745476709     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2005JD006243     Document Type: Article

References (27)

1. Berry, E. X., and R. L. Reinhardt (1974), An analysis of cloud drop growth by collection: Part I Double distributions, J. Atmos. Sci., 31, 1814-1824.
2. Comarazamy, D. E. (2001), Atmospheric modeling of the Caribbean region: Precipitation and wind analysis in Puerto Rico for April 1998, M.S. thesis, 95 pp., Dep. of Mech. Eng., Univ. of P.R., Mayagüez.
3. Cotton, W. R., et al. (2003), RAMS 2001: Current status and future directions, Meteorol, Atmos. Phys., 82, 5-29.
4. Daly, C., E. H. Helmer, and M. Quinones (2003), Mapping the climate of Puerto Rico, Vieques and Culebra, Int. J. Climatol., 23, 1359-1381.
5. Dubovik, O., and M. D. King (2000), A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J. Geophys. Res., 105, 20,673-20,696.
6. Grabowski, W. W. (2000), Cloud microphysics and the tropical climate: Cloud-resolving model perspective, J. Clim., 13, 2306-2322.
7. Grabowski, W. W. (2003), Impact of cloud microphysics on convective-radiative quasi equilibrium revealed by cloud-resolving convection parameterization, J. Clim., 16, 3463-3475.
8. Grabowski, W. W., X. Wu, and M. T. Moncrieff (1999), Cloud resolving modeling of tropical cloud systems during Phase III of GATE. Part III: Effects of cloud microphysics, J. Atmos. Sci., 56, 2384-2402.
9. Ichoku, C., et al. (2002), Analysis of the performance characteristics of the five-channel Microtops H Sun photometer for measuring aerosol optical thickness and precipitable water vapor, J. Geophys. Res., 107(D13), 4179, doi:10.1029/2001JD001302.
10. Jonas, P. R. (1996), Turbulence and cloud microphysics, Atmos. Res., 40, 283-306.
11. Kaufman, Y. J., and T. Nakajima (1993), Effect of Amazon smoke on cloud microphysics and albedo-analysis from satellite imagery, J. Appl. Meteorol., 32, 729-744.
12. Khain, A. P., A. Pokrovsky, and I. Sednev (1999), Some effects of cloud-aerosol interaction on cloud microphysics structure and precipitation formation: Numerical experiments with a spectral microphysics cloud ensemble model, Atmos. Res., 52, 195-220.
13. Khain, A., M. Ovtchinnikov, M. Pinsky, A. Pokrovsky, and H. Krugliak (2000), Notes on the state-of-the-art numerical modeling of cloud microphysics, Atmos. Res., 55, 159-224.
14. King, M. D., D. M. Byrne, B. M. Herman, and J. A. Reagan (1978), Aerosol size distributions obtained by inversion of spectral optical depth measurements, J. Atmos. Sci., 35, 2153-2167.
15. Li, X., C. H. Sui, and K. M. Lau (2002), Dominant cloud microphysics processes in a tropical oceanic convective system: A 2D cloud resolving modeling study, Mon. Weather Rev., 130, 2481-2491.
16. Liu, Y., D. L. Zhang, and M. K. Yau (1997), A multiscale numerical study of Hurricane Andrews, 1992. Part I: Explicit simulation and verification, Mon. Weather Rev., 125, 1065-1092.
17. Malmgren, B. A., and A. Winter (1999), Climate zonation in Puerto Rico based on principal components analysis and an artificial neural network, J.Clim., 12(4),977-985.
18. Meyers, M. P., R. L. Walko, J. Y. Harrington, and W. R. Cotton (1997), New RAMS cloud microphysics parameterization. Part II: The two-moment scheme, Atmos. Res., 45, 3-39.
19. Nagel, D., A. Herber, L. W. Thomason, and U. Leiterer (1998), Vertical distribution of the spectral aerosol optical depth in the Arctic from 1993 to 1996, J. Geophys. Res., 103(D2), 1857-1870.
20. Pielke, R. A., et al. (1992), A comprehensive meteorological modeling system-RAMS, Meteorol. Atmos. Phys., 49, 69-91.
21. Rogers, R. R., and M. K. Yau (1996), A Short Course in Cloud Physics, 290 pp., Elsevier, New York.
22. Saleeby, M. S., and W. R. Cotton (2004), A large-droplet mode and prognostic number concentration of cloud droplets in the Colorado State University Regional Atmospheric Modeling System (RAMS), Part I: Module descriptions and supercell test simulations, J. Appl. Meteorol., 43, 182-195.
23. Taylor, M. A., D. B. Enfield, and A. A. Chen (2002), Influence of the tropical Atlantic versus the tropical Pacific on Caribbean rainfall, J. Geophys. Res., 107(C9), 3127, doi:10.1029/2001JC001097.
24. Walko, R. L., C. J. Tremback, and F. A. Herstenstein (1995a), The Regional Atmospheric Modeling System technical description, report, Atmos., Meteorol., and Environ. Technol., Boulder, Colo.
25. Walko, R. L., C. J. Tremback, and F. A. Herstenstein (1995b), The Regional Atmospheric Modeling System user's guide, input parameters and variables, report, Atmos., Meteorol., and Environ. Technol., Boulder, Colo.
26. Walko, R. L., W. R. Cotton, M. P. Meyers, and J. Y. Harrington (1995c), New RAMS cloud microphysics parameterization: Part I: The single-moment scheme, Atmos. Res., 38, 29-62.
27. Wang, Y. (2002), An explicit simulation of tropical cyclones with a triply nested movable mesh primitive equation model: TCM3. Part II: Model refinements and sensitivity to cloud microphysics parameterization, Mon. Weather Rev., 130, 3022-3036.