A Study of the role of daytime land-atmosphere interactions on nocturnal convective activity in the southern great plains during CLASIC

Journal of Hydrometeorology

Volumn 15, Issue 5, 2014, Pages 1932-1953

  Erlingis, Jessica M ^a   Barros, Ana P ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADVECTION; ATMOSPHERE-BIOSPHERE INTERACTION; BOUNDARY LAYER; CLIMATE MODELING; CONVECTIVE BOUNDARY LAYER; LAND SURFACE; MESOSCALE METEOROLOGY; PRECIPITATION INTENSITY;

GREAT PLAINS;

EID: 84907450700     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-14-0016.1     Document Type: Article

References (52)

1. Avissar, R., and T. Schmidt, 1998: An evaluation of the scale at which ground-surface heat flux patchiness affects the convective boundary layer using large-eddy simulations. J. Atmos. Sci., 55, 2666-2689, doi:10.1175/1520-0469(1998)055<2666:AEOTSA>2.0.CO;2.
2. Balaji, V., and T. L. Clark, 1988: Scale selection in locally forced convective fields and the initiation of deep cumulus. J. Atmos. Sci., 45, 3188-3211, doi:10.1175/1520-0469(1988)045<3188:SSILFC>2.0.CO;2.
3. Baldwin, M. E., and K. E. Mitchell, 1998: Progress on the NCEP hourly multi-sensor U.S. precipitation analysis for operations and GCIP research. Preprints, Second Symp. on Integrated Observing Systems, Phoenix, AZ, Amer. Meteor. Soc., 10-11.
4. Balling, R. C., 1985: Warm season nocturnal precipitation in the Great Plains of the United States. J. Climate Appl. Meteor., 24, 1383-1387, doi:10.1175/1520-0450(1985)024<1383:WSNPIT>2.0.CO;2.
5. Barros, A. P., and W. Hwu, 2002: A study of land-atmosphere interactions during summertime rainfall using amesoscalemodel. J. Geophys. Res., 107, 17-1-17-18, doi:10.1029/2000JD000254.
6. Barros, A. P., W. Li, D.-H. Kang, O. Prat, P. Shrestha, N. Brunsell, and T. A. Rhan, 2013: Observations of surface fluxes and boundary layer instability in the southern Great Plains during CLASIC. Rep. EPL-2013-CLASIC-1, Environmental Physics Laboratory, Duke University, 57 pp.
7. Betts, A. K., 1992: FIFE atmospheric boundary layer budget methods. J. Geophys. Res., 97, 18 523-18 531, doi:10.1029/91JD03172.
8. Bright, D. R., and S. L. Mullen, 2002: Short-range ensemble forecasts of precipitation during the southwest monsoon. Wea. Forecasting, 17, 1080-1100, doi:10.1175/1520-0434(2002)017<1080:SREFOP>2.0.CO;2.
9. Carbone, R. E., and J. D. Tuttle, 2008: Rainfall occurrence in the U.S. warm season: The diurnal cycle. J. Climate, 21, 4132-4146, doi:10.1175/2008JCLI2275.1.
10. Carbone, R. E., J. D. Tuttle, D. A. Ahijevych, and S. B. Trier, 2002: Inferences of predictability associated with warm season precipitation episodes. J. Atmos. Sci., 59, 2033-2056, doi:10.1175/1520-0469(2002)059<2033:IOPAWW>2.0.CO;2.
11. Denis, B., J. Côté, and R. Laprise, 2002: Spectral decomposition of two-dimensional atmospheric fields on limited-area domains using the discrete cosine transform (DCT). Mon. Wea. Rev., 130, 1812-1829, doi:10.1175/1520-0493(2002)130<1812:SDOTDA>2.0.CO;2.
12. Dirmeyer, P. A., and Coauthors, 2012: Simulating the diurnal cycle of rainfall in global climate models: Resolution versus parameterization. Climate Dyn., 39, 399-418, doi:10.1007/s00382-011-1127-9.
13. Dong, X., and Coauthors, 2011: Investigation of the 2006 drought and 2007 flood extremes at the southern Great Plains through an integrative analysis of observations. J. Geophys. Res., 116, D03204, doi:10.1029/2010JD014776.
14. Ek, M.B., K.E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley, 2003: Implementation of Noah land-surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J. Geophys. Res., 108, 8851, doi:10.1029/2002JD003296.
15. Gilmore, M. S., and L. J. Wicker, 1998: The influence of midtropospheric dryness on supercell morphology and evolution. Mon. Wea. Rev., 126, 943-958, doi:10.1175/1520-0493(1998)126<0943:TIOMDO>2.0.CO;2.
16. Hong, S.-Y., and J.-O. J. Lim, 2006: The WRF Single-Moment 6-Class Microphysics Scheme (WSM6). J. Korean Meteor. Soc., 42, 121-151.
17. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341, doi:10.1175/MWR3199.1.
18. James, R. P., P. M. Markowski, and J. M. Fritsch, 2006: Bow echo sensitivity to ambient moisture and cold pool strength. Mon. Wea. Rev., 134, 950-964, doi:10.1175/MWR3109.1.
19. Janjić, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, 61 pp. [Available online at www.emc.ncep.noaa.gov/officenotes/newernotes/on437.pdf.]
20. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181, doi:10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2.
21. Koster, R. D., and Coauthors, 2004: Regions of strong coupling between soil moisture and precipitation. Science, 305, 1138-1140, doi:10.1126/science.1100217.
22. Lamb, P., D. H. Portis, and A. Zangvil, 2012: Investigation of largescale atmospheric moisture budget and land surface interactions over U.S. southern Great Plains including for CLASIC (June 2007). J. Hydrometeor., 13, 1719-1738, doi:10.1175/JHM-D-12-01.1.
23. Lanicci, J. M., T. N. Carlson, and T. T. Warner, 1987: Sensitivity of the Great Plains severe-storm environment to soil-moisture distribution. Mon. Wea. Rev., 115, 2660-2673, doi:10.1175/1520-0493(1987)115<2660:SOTGPS>2.0.CO;2.
24. LeMone, M. A., and W. T. Pennell, 1976: The relationship of trade wind cumulus distribution to subcloud layer fluxes and structure. Mon. Wea. Rev., 104, 524-539, doi:10.1175/1520-0493(1976)104<0524:TROTWC>2.0.CO;2.
25. Lin, Y., and K. E. Mitchell, 2005: The NCEP Stage II/IV hourly precipitation analyses: Development and applications. Preprints, 19th Conf. on Hydrology, San Diego, CA, Amer. Meteor. Soc., 1.2. [Available online at https://ams.confex.com/ams/pdfpapers/83847.pdf.]
26. Luo, Y., E. H. Berbery, K. E. Mitchell, and A. K. Betts, 2007: Relationships between land-surface and near-surface atmospheric variables in the NCEP North American Regional Reanalysis. J. Hydrometeor., 8, 1184-1203, doi:10.1175/2007JHM844.1.
27. Lynn, B. H., W.-K. Tao, and P. J. Wetzel, 1998: A study of landscape-generated deep moist convection. Mon. Wea. Rev., 126, 928-942, doi:10.1175/1520-0493(1998)126<0928:ASOLGD>2.0.CO;2.
28. Mahrt, L., J. Sun, D. Vickers, J. I. Macpherson, J. R. Pederson, and R. L. Desjardins, 1994: Observations of fluxes and inland breezes over a heterogeneous surface. J. Atmos. Sci., 51, 2484-2499, doi:10.1175/1520-0469(1994)051<2484:OOFAIB>2.0.CO;2.
29. McPherson, R. A., and Coauthors, 2007: Statewidemonitoring of the mesoscale environment: A technical update on the Oklahoma Mesonet. J. Atmos. Oceanic Technol., 24, 301-321, doi:10.1175/JTECH1976.1.
30. Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343.
31. Miller, M. A., and Coauthors, 2007: SGP Cloud and Land Surface Interaction Campaign (CLASIC): Science and Implementation Plan. Rep. DOE/SC-ARM-0703, Office of Biological and Environmental Research, U.S. Department of Energy, 14 pp. [Available online at www.arm.gov/publications/programdocs/doe-sc-arm-0703.pdf.]
32. Parker, M. D., and R. H. Johnson, 2000: Organizational modes of midlatitude mesoscale convective systems. Mon. Wea. Rev., 128, 3413-3436, doi:10.1175/1520-0493(2001)129<3413:OMOMMC>2.0.CO;2.
33. Santanello, J. A., Jr., M. A. Friedl, and M. B. Ek, 2007: Convective planetary boundary layer interactions with the land surface at diurnal time scales: Diagnostics and feedbacks. J. Hydrometeor., 8, 1082-1097, doi:10.1175/JHM614.1.
34. Santanello, J. A., C. D. Peters-Lidard, S. V. Kumar, C. Alonge, and W.-K. Tao, 2009: Amodeling and observational framework for diagnosing local land-atmosphere coupling on diurnal time scales. J. Hydrometeor., 10, 577-599, doi:10.1175/2009JHM1066.1.
35. Santanello, J. A., C. D. Peters-Lidard, and S. V. Kumar, 2011: Diagnosing the sensitivity of local land-atmosphere coupling via the soil moisture-boundary layer interaction. J. Hydrometeor., 12, 766-786, doi:10.1175/JHM-D-10-05014.1.
36. Schär, C., D. Lüthi, U. Beyerle, and E. Heise, 1999: The soil-precipitation feedback: A process study with a regional climate model. J. Climate, 12, 722-741, doi:10.1175/1520-0442(1999)012<0722:TSPFAP>2.0.CO;2.
37. Seo, D. J., 1998: Real-time estimation of rainfall fields using radar rainfall and raingauge data. J. Hydrol., 209, 131-147.
38. Shaw, B. L., R. A. Pielke, and C. L. Ziegler, 1997: A threedimensional numerical simulation of a Great Plains dryline. Mon. Wea. Rev., 125, 1489-1506, doi:10.1175/1520-0493(1997)125<1489:ATDNSO>2.0.CO;2.
39. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-4751STR, 113 pp., doi:10.5065/D68S4MVH.
40. Stensrud, D. J., 2007: Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 459 pp.
41. Sun, X., and A. P. Barros, 2012: The impact of forcing dataset on the high resolution simulation of tropical storm Ivan (2004) in the southern Appalachians. Mon. Wea. Rev., 140, 3300-3326, doi:10.1175/MWR-D-11-00345.1.
42. Sun, X., and A. P. Barros, 2014: High resolution simulation of tropical storm Ivan (2004) in the Southern Appalachians: Role of planetary boundary-layer schemes and cumulus parameterization. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.2255, in press.
43. Tao, K., and A. P. Barros, 2008: Metrics to describe the dynamical evolution of atmospheric moisture: Intercomparison of model (NARR) and observations (ISCCP). J. Geophys. Res., 113, D14125, doi:10.1029/2007JD009337.
44. Trier, S. B., F. Chen, and K. W. Manning, 2004: A study of convection initiation in a mesoscale model using high-resolution land-surface initial conditions. Mon. Wea. Rev., 132, 2954-2976, doi:10.1175/MWR2839.1.
45. Tuttle, J. D., and C. A. Davis, 2006: Corridors of warm season precipitation in the central United States. Mon. Wea. Rev., 134, 2297-2317, doi:10.1175/MWR3188.1.
46. Wallace, J. M., 1975: Diurnal variations in precipitation and thunderstorm frequency over the conterminous United States. Mon. Wea. Rev., 103, 406-419, doi:10.1175/1520-0493(1975)103<0406:DVIPAT>2.0.CO;2.
47. Weckwerth, T. M., J. W. Wilson, and R. M. Wakimoto, 1996: Thermodynamic variability within the convective boundary layer due to horizontal convective rolls. Mon. Wea. Rev., 124, 769-784, doi:10.1175/1520-0493(1996)124<0769:TVWTCB>2.0.CO;2.
48. Weckwerth, T. M., J. W. Wilson., R. M. Wakimoto, and N. A. Crook, 1997: Horizontal convective rolls: Determining the environmental conditions supporting their existence and characteristics. Mon. Wea. Rev., 125, 505-526, doi:10.1175/1520-0493(1997)125<0505:HCRDTE>2.0.CO;2.
49. Wei, J., R. E. Dickinson, and H. Chen, 2008: A negative soil moisture-precipitation relationship and its causes. J. Hydrometeor., 9, 1364-1376, doi:10.1175/2008JHM955.1.
50. Weisman, M. L., 1992: The role of convectively generated rear-inflow jets in the evolution of long-lived mesoconvective systems. J. Atmos. Sci., 49, 1826-1847, doi:10.1175/1520-0469(1992)049<1826:TROCGR>2.0.CO;2.
51. Wu, D., X. Dong, B. Xi, Z. Feng, A. Kennedy, G. Mullendore, M. Gilmore, and W.-K. Tao, 2013: Impacts of microphysical scheme on convective and stratiform characteristics in two high precipitation squall line events. J. Geophys. Res. Atmos., 118, 11 119-11 135, doi:10.1002/jgrd.50798.
52. Zeng, X., M. Barlage, C. Castro, and K. Fling, 2010: Comparison of land-precipitation coupling strength using observations and models. J. Hydrometeor., 11, 979-994, doi:10.1175/2010JHM1226.1.