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Regional Environmental Change

, Volume 13, Supplement 1, pp 153–164 | Cite as

On the twenty-first-century wet season projections over the Southeastern United States

  • Christopher Selman
  • Vasu Misra
  • Lydia Stefanova
  • Steven Dinapoli
  • Thomas J. Smith III
Original Article

Abstract

This paper reconciles the difference in the projections of the wet season over the Southeastern United States (SEUS) from a global climate model (the Community Climate System Model Version 3 [CCSM3]) and from a regional climate model (the Regional Spectral Model [RSM]) nested in the CCSM3. The CCSM3 projects a dipole in the summer precipitation anomaly: peninsular Florida dries in the future climate, and the remainder of the SEUS region becomes wetter. The RSM forced with CCSM3 projects a universal drying of the SEUS in the late twenty-first century relative to the corresponding twentieth-century summer. The CCSM3 pattern is attributed to the “upped-ante” mechanism, whereby the atmospheric boundary layer moisture required for convection increases in a warm, statically stable global tropical environment. This criterion becomes harder to meet along convective margins, which include peninsular Florida, resulting in its drying. CCSM3 also projects a southwestward expansion of the North Atlantic subtropical high that leads to further stabilizing of the atmosphere above Florida, inhibiting convection. The RSM, because of its high (10-km grid) resolution, simulates diurnal variations in summer rainfall over SEUS reasonably well. The RSM improves upon CCSM3 through the RSM’s depiction of the diurnal variance of precipitation, which according to observations accounts for up to 40 % of total seasonal precipitation variance. In the future climate, the RSM projects a significant reduction in the diurnal variability of convection. The reduction is attributed to large-scale stabilization of the atmosphere in the CCSM3 projections.

Keywords

Regional climate change Southeast United States Rainfall variability Regional climate model Global climate model Precipitation variability 

Notes

Acknowledgments

We acknowledge the editorial assistance of Kathy Fearon of COAPS, FSU. This study was supported by grants from NOAA (NA07OAR4310221), USDA (027865), and USGS (06HQGR0125).

References

  1. Atkins N, Wakimoto R, Weckwerth T (1995) Observations of the sea-breeze front during CaPE. Part II: dual-doppler and aircraft analysis. Mon Wea Rev 123:944–969CrossRefGoogle Scholar
  2. Bastola S, Misra V (2013) Sensitivity of hydrological simulations of southeastern United States watersheds to temporal aggregations of rainfalls. J Hydrometeor. doi: 10.1175/JHM-D-12-096.1
  3. Biggs W, Graves M (1962) A lake breeze index. J Appl Meteor Climatol 1:474–480CrossRefGoogle Scholar
  4. Bove M, Elsner J, Landsea C, Niu X, O’Brien J (1998) Effect of El Niño on U.S. landfalling hurricanes, revisited. Bull Am Soc 79:2477–2482CrossRefGoogle Scholar
  5. Briegleb B, Bitz C, Hunke E, Lipscomb W, Holland M, Schramm J, Moritz R (2004) Scientific description of the sea ice component in the community climate system model, version three. Tech. Rep. NCAR/TN-463 + STR, 78 ppGoogle Scholar
  6. Bukovsky M, Karoly D (2008) An evaluation of climate model precipitation over the United States, 20th conference on climate variability and change, New Orleans, LA. American Meteorological Society, P3.8Google Scholar
  7. Carbone R, Tuttle J (2008) Rainfall occurrence in the U.S. warm season: the diurnal cycle. J Climate 21:4132–4146CrossRefGoogle Scholar
  8. Chan S, Misra V (2010) A diagnosis of the 1979–2005 extreme rainfall events in the Southeastern United States with isentropic moisture tracing. Mon Wea Rev 138:1172–1185CrossRefGoogle Scholar
  9. Chiang J, Sobel A (2002) Tropical tropospheric temperature variations caused by ENSO and their influences on the remote tropical climate. J Climate 15:2616–2631CrossRefGoogle Scholar
  10. Chou MD, Lee KT (1996) Parameterizations for the absorption of solar radiation by water vapor and ozone. J Atmos Sci 53:1203–1208CrossRefGoogle Scholar
  11. Chou MD, Suarez MJ (1994) An efficient thermal infrared radiation parameterization for use in general circulation models. Technical report series on global modeling and data assimilation, NASA/TM-1994-104606, 3, 85 ppGoogle Scholar
  12. Christensen J et al (2007) Regional climate projections. Climate change 2007: the physical science basis. Cambridge University Press, CambridgeGoogle Scholar
  13. Collins W et al (2004) Description of the NCAR community atmosphere model (CAM3). Tech. Rep. NCAR/TN-464 + STR, 226 ppGoogle Scholar
  14. Collins W et al (2006) The community climate system model version 3 (CCSM3). J Climate 19:2122–2143CrossRefGoogle Scholar
  15. Dai A (2006) Precipitation characteristics in eighteen coupled climate models. J Climate 19:4606–4630Google Scholar
  16. Dickinson R, Oleson K, Bonan G, Hoffman F, Thornton P, Vertenstein M, Yang ZL, Zeng X (2006) The community land model and its climate statistics as a component of the community climate system model. J Climate 19:2302–2324CrossRefGoogle Scholar
  17. Doblas-Reyes F, Goodess C (2005) Working paper on the need for downscaling of seasonal-to-decadal integrations within the EU-funded ENSEMBLES project. ENSEMBLES Technical Report No. 2, 10 pp. [ISSN 1752-2854]Google Scholar
  18. Ek M, Mitchell K, Lin Y, Rogers E, Grunmann P, Koren V, Gayno G, Tarpley J (2003) Implementation of Noah Land surface model advances in the national centers for environmental prediction operational Mesoscale Eta Model. J Geophys Res 108:8851CrossRefGoogle Scholar
  19. Elguindi N, Grundstein A (2013) An integrated approach to assessing 21st century climate change over the contiguous US using the NARCCAP RCM output. Climatic Change 117:809–827CrossRefGoogle Scholar
  20. Hansen J, Hodges A, Jones J (1998) ENSO influences on agriculture in the southeastern United States. J Climate 11:404–411CrossRefGoogle Scholar
  21. Hong S, Pan H (1996) Nonlocal boundary layer vertical diffusion in a medium range forecast model. Mon Wea Rev 124:2322–2339CrossRefGoogle Scholar
  22. Juang HM, Kanamitsu M (1994) The NMC nested regional spectral model. Mon Wea Rev 122:3–26CrossRefGoogle Scholar
  23. Kanamaru H, Kanamitsu M (2007a) Scale-selective bias correction in a downscaling of global analysis using a regional model. Mon Wea Rev 135:334–350CrossRefGoogle Scholar
  24. Kanamaru H, Kanamitsu M (2007b) Fifty-seven-year reanalysis downscaling at 10 km (CaRD10). Part II: comparison with North American Regional Reanalysis. J Climate 20:5572–5592CrossRefGoogle Scholar
  25. Kanamitsu M, Kanamaru H (2007) Fifty-seven-year reanalysis downscaling at 10 km (CaRD10). Part I: system detail and validation with observations. J Climate 20:5553–5571CrossRefGoogle Scholar
  26. Kanamitsu M, Yoshimura K, Yhang Y (2010) Errors of interannual variability and trend in dynamical downscaling of reanalysis. J Geophys Res 115:1–17CrossRefGoogle Scholar
  27. Karl T, Melillo J, Peterson T (2009) Global climate change impacts in the United States. Cambridge University Press, CambridgeGoogle Scholar
  28. Kushnir Y, Seager R, Ting M, Naik N, Nakamura J (2010) Mechanisms of tropical Atlantic SST influence on North American precipitation variability. J Climate 23:5610–5628CrossRefGoogle Scholar
  29. LeMone M (1973) The structure and dynamics of horizontal roll vortices in the planetary boundary layer. J Atmos Sci 30:1077–1091CrossRefGoogle Scholar
  30. Li W, Li L, Fu R, Deng L, Wang H (2011) Changes to the north Atlantic subtropical high and its role in the intensification of summer rainfall variability in the southeastern United States. J Climate 24:1499–1506CrossRefGoogle Scholar
  31. Lin Y, Mitchell K (2005) The NCEP Stage II/IV hourly precipitation analyses: development and applications. Preprints, 19th conference on hydrology, american meteorological society, San Diego, CA, 9–13 January 2005, Paper 1.2Google Scholar
  32. Loveland T, Merchant J, Reed B, Brown J, Ohlen D, Olson P, Hutchinson J (1995) Seasonal land cover regions of the United States. Ann Assoc Am Geogr 85:339–355CrossRefGoogle Scholar
  33. Mearns L, Gutowski W, Jones R, Leung L, McGinnis S, Nunes A, Qian Y (2009) A regional climate change assessment program for North America. EOS 90:311–312CrossRefGoogle Scholar
  34. Misra V, DiNapoli S (2012) Understanding the wet season variations over Florida. Clim Dyn (in press). doi: 10.1007/s00382-012-1382-4
  35. Misra V, Moeller L, Stefanova L, Chan S, O’Brien JJ, SmithIII TJ, Plant N (2011) The influence of the Atlantic warm pool on the panhandle Florida Sea breeze. J Geophys Res. doi: 10.1029/2010JD01 Google Scholar
  36. Misra V et al (2011b) Climate scenarios: a Florida-Centric view, Florida climate change task forceGoogle Scholar
  37. Neelin J, Chou C, Su H (2003) Tropical drought regions in global warming and El Nino teleconnections. Geophys Res Lett. doi: 10.129/2003GLO018625 Google Scholar
  38. Oleson K et al (2004) Technical description of the community land model (CLM). Tech. Rep. NCAR/TN-461 + STR, 174 ppGoogle Scholar
  39. Pan H, Wu W (1995) Implementing a mass-flux convective parameterization package for the NMC medium range forecast model, paper presented at 10th conference on Numerical Weather Prediction. American Meteorological Society, Portland, OregonGoogle Scholar
  40. Parker M, Ahijevych D (2007) Convective episodes in the east-central United States. Mon Wea Rev 135:3707–3727CrossRefGoogle Scholar
  41. Rauscher S, Kucharski A, Enfield D (2011) The role of regional SST warming variations in the drying of Meso-America in future climate projections. J Climate 24:2003–2016CrossRefGoogle Scholar
  42. Schwartz B, Bosart L (1979) The diurnal variability of florida rainfall. Mon Wea Rev 107:1535–1545CrossRefGoogle Scholar
  43. Seager R, Tzanova A, Nakamura J (2009) Drought in the southeastern United States: causes, variability over the last millennium, and the potential for future hydro climate change. J Climate 22:5021–5045CrossRefGoogle Scholar
  44. Slingo J (1987) The development and verification of a cloud prediction scheme for the ECMWF model. Q J R Meteorol Soc 113:899–927CrossRefGoogle Scholar
  45. Smith R, Gent P (2002) Reference manual for the parallel ocean program (POP), ocean component of the Community Climate System Model (CCSM 2.0 and 3.0) Tech. Rep. LA-UR-02-2484, Los Alamos National LaboratoryGoogle Scholar
  46. Sobolowski S, Pavelski T (2011) Evaluation of present and future North American regional climate change assessment program (NARCCAP) regional climate simulations over the southeast United States. J Geophys Res 117. doi: 10.1029/2011JD016430
  47. Stefanova L, Misra V, Chan S, Griffin M, O’Brien J, Smith T III (2012) A proxy for high-resolution regional reanalysis for the Southeast United States. Climate Dyn 38:2449–2466CrossRefGoogle Scholar
  48. Vecchi G, Clement A, Soden B (2008) Examining the tropical Pacific’s response to global warming. Trans Amer Geophys Union 89:81–83Google Scholar
  49. Xie S, Deser C, Vecchi G, Ma J, Teng H, Wittenberg A (2010) Global warming pattern formation: sea surface temperature and rainfall. J Climate 23:966–986CrossRefGoogle Scholar
  50. Yualeva E, Holton J, Wallace J (1994) On the cause of annual cycle in the tropical lower stratospheric temperature. J Atmos Sci 51:169–174CrossRefGoogle Scholar
  51. Zhang DL, Zhang S, Weaver S (2006) Low-level jets over Mid-Atlantic states: warm-season climatology and a case study. J Appl Meteor Climatol 45:194–209CrossRefGoogle Scholar
  52. Zhang X, Dimarco S, Smith D, Howard M, Jochens A, Hetland R (2009) Near-resonant ocean response to sea breeze on a stratified continental shelf. J Phys Oceanogr 39:2134–2155Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christopher Selman
    • 1
    • 2
  • Vasu Misra
    • 1
    • 2
    • 3
  • Lydia Stefanova
    • 2
  • Steven Dinapoli
    • 2
  • Thomas J. Smith III
    • 4
  1. 1.Department of Earth, Ocean and Atmospheric ScienceFlorida State UniversityTallahasseeUSA
  2. 2.Center for Ocean-Atmospheric Prediction StudiesFlorida State UniversityTallahasseeUSA
  3. 3.Florida Climate InstituteFlorida State UniversityTallahasseeUSA
  4. 4.Southeastern Ecological Science CenterUnited States Geological SurveySt. PetersburgUSA

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