Regional Environmental Change

, Volume 13, Supplement 1, pp 15–23 | Cite as

Dynamic downscaling of the twentieth-century reanalysis over the southeastern United States

Original Article

Abstract

A 108-year (1901–2008) downscaling of the twentieth-century reanalysis (20CR) using the Regional Spectral Model (RSM) has been conducted for the southeastern United States (SEUS) at a horizontal grid resolution of 10 km. This 108-year product, named as the Florida Climate Institute-Florida State University Land–Atmosphere Reanalysis for the southeastern United States at 10-km resolution version 1.0 [FLAReS1.0], has primarily been developed for anticipated application studies in hydrology, crop management, ecology, and other interdisciplinary fields in the SEUS. The analysis of this downscaled product reveals that it ameliorates the issue of artificial discontinuity in the precipitation time series of the 20CR from the variations inherent to RSM. This centennial scale product allows us to begin examining decadal scale variations of the regional features of the SEUS. The fidelity of the low-frequency variations of the winter rainfall associated with the Atlantic Multi-decadal Oscillation (AMO) and the Pacific Decadal Oscillation is reasonably well captured in FLAReS1.0. In fact, the modulation of the El Niño-Southern Oscillation (ENSO) teleconnection with the SEUS rainfall by AMO in the downscaled product is also validated with observations. The ENSO-associated variations of accumulated rainfall from landfalling hurricanes in the SEUS are also well simulated in the downscaled climate simulation. It is to be noted that the success of this dynamical downscaling is also because the global reanalysis of 20CR showed comparable fidelity in these low-frequency variations of the SEUS climate. This method of dynamic downscaling global reanalysis with inclusion of spectral nudging at large wavelengths (in this case ≥500 km) toward the driving global reanalysis (20CR) is sometimes referred as a form of regional reanalysis.

Keywords

Atlantic multi-decadal oscillation Hurricanes Pacific Decadal Oscillation 

Supplementary material

10113_2012_372_MOESM1_ESM.pdf (93 kb)
Supplementary material 1 (PDF 93 kb)

References

  1. Bastola S, Misra V (2012) Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application of watersheds in the southeast United States. Hydrol Process. SubmittedGoogle Scholar
  2. Bove MC, Elsner JB, Landsea CW, Niu X, O’Brien JJ (1998) Effects of El Niño on US landfalling hurricanes, revisited. Bull. Am Meteor Soc 79:2477–2482CrossRefGoogle Scholar
  3. Cane MA, Zebiak SE (1985) A theory for El Niño and the Southern Oscillation. Science 228:1085–1087CrossRefGoogle Scholar
  4. Castro CL, Pielke RA Sr, Leoncini G (2005) Dynamical downscaling: assessment of value retained and added using the regional atmospheric modeling system (RAMS). J Geophys Res 110:D05108. doi:10.1029/2004JD004721 CrossRefGoogle Scholar
  5. Chen F, Dudhia J (2001) Coupling an advanced land-surface hydrology model with the Penn State/NCAR MM5 modeling system. Part I: model implementation and sensitivity. Mon Wea Rev 129:569–585CrossRefGoogle Scholar
  6. 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
  7. Chou M-D, Suarez MJ, Ho C-H, Yan MM-J, Lee K-T (1998) Parameterizations for cloud overlapping and shortwave single-scattering properties for use in general circulation and cloud ensemble models. J Climate 11:202–214CrossRefGoogle Scholar
  8. Compo GP et al (2011) The twentieth century reanalysis project. Q J R Meteorol Soc 137:1–28CrossRefGoogle Scholar
  9. DiNapoli S, Misra V (2012) Reconstructing the 20th century high-resolution climate of the Southeastern United States. J Geophys Res (Atmospheres) 117:D19113. doi:10.1029/2012JD018303
  10. Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman and Hall, LondonGoogle Scholar
  11. Enfield DB, Mestaz-Nunez AM, Trimble PJ (2001) The Atlantic multidecadal oscillation and its relation to rainfall and river flows in the continental US. Geophys Res Lett 28:2077–2080CrossRefGoogle Scholar
  12. Ferguson CR, Villarini G (2012) Detecting inhomogeneities in the twentieth century reanalysis over the central United States. J Geophys Res 117:D05123. doi:10.1029/2011JD016988 CrossRefGoogle Scholar
  13. Gershunov A, Barnett TP (1998) Interdecadal modulation of ENSO teleconnections. Bull Am Meteorol Soc 80:2715–2725CrossRefGoogle Scholar
  14. Gibson W et al (2002) Development of a 103-year high-resolution climate data set for the conterminous United States. In: Proceedings of 13th American meteorological society conference on applied climatology, Portland, OR, pp 181–183Google Scholar
  15. Gray WM (1984) Atlantic seasonal hurricane frequency. Part I:El Nin˜o and 30 mb quasi-biennial oscillation influences. Mon Wea Rev 112:1649–1668CrossRefGoogle Scholar
  16. Guilyardi E, Wittenberg A, Fedorov A, Collins M, Wang C, Capotondi A, von Oldengorgh GJ, Stockdale T (2009) Understanding El Niño in ocean–atmosphere general circulation models: progress and challenges. Bull Am Meteorol Soc 90:325–340CrossRefGoogle Scholar
  17. Guilyardi E, Cai W, Collins M, Fedorov A, Jin F-F, Kumar A, Sun D-Z, Wittenberg A (2012) New strategies for evaluating ENSO processes in climate models. Bull Am Meteorol Soc 93:235–238CrossRefGoogle Scholar
  18. Higgins RW, Shi W, Yarosh E, Joyce R (2000) Improved United States precipitation quality control system and analysis. NCEP/CPC ATLAS No. 7. Also available at: http://www.cpc.ncep.noaa.gov/research_papers/ncep_cpc_atlas/7/index.html
  19. Hong S-Y, Pan H-L (1996) Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon Wea Rev 124:2322–2339CrossRefGoogle Scholar
  20. Kanamaru H, Kanamitsu M (2007) Scale-selective bias correction in a downscaling of global analysis using a regional model. Mon Wea Rev 135:334–350CrossRefGoogle Scholar
  21. Kanamitsu M, Ebisuzaki W, Woollen J, Yang S-K, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP-DOE AMIP-II reanalysis (R-2). Bull Am Meteor Soc 83:1631–1643CrossRefGoogle Scholar
  22. Kanamitsu M, Yoshimura K, Yhang Y-B, Hong S-Y (2010) Errors of interannual variability and multi-decadal trend in dynamical regional climate downscaling and its corrections. J Geophys Res 115:D17115. doi:10.1029/2009JD013511 CrossRefGoogle Scholar
  23. Kerr RA (2000) A North Atlantic climate pacemaker for the centuries. Science 288:1984–1986CrossRefGoogle Scholar
  24. Klotzbach PJ (2011) El Niño-southern oscillation’s impact on Atlantic Basin Hurricanes and US. Landfalls J Climate 24:1252–1263CrossRefGoogle Scholar
  25. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis R (1997) A Pacific interdecadal climate oscillation with impacts on salmon production. Bull Am Meteorol Soc 78:1069–1079CrossRefGoogle Scholar
  26. McClave JT, Dietrich FH II (1994) Statistics. MacMillan College Publishing Co, New YorkGoogle Scholar
  27. Mearns LO, Gutowski WJ, Jones R, Leung L-Y, McGinnis S, Nunes AMB, Qian Y (2009) A regional climate change assessment program for North America. EOS Trans. 90:311–312CrossRefGoogle Scholar
  28. Mingfang T, Kushnir Y, Seager R, Li C (2009) Forced and internal twentieth-century SST trends in the North Atlantic. J Climate 22:1469–1481. doi:10.1175/2008JCLI2561.1 CrossRefGoogle Scholar
  29. Misra V, Moeller L, Stefanova L, Chan S, O’Brien JJ, Smith III TJ, Plant N (2011) The influence of the Atlantic Warm Pool on the Florida panhandle sea breeze. J Geophys Res 116:D00Q06. doi:10.1029/2010JD015367
  30. Mo KC (2010) Interdecadal modulation of the impact of ENSO on precipitation and temperature over the United States. J Climate 23:3639–3656CrossRefGoogle Scholar
  31. Newman M, Compo GP, Alexander MA (2003) ENSO-forced variability of the Pacific decadal oscillation. J Climate 16:3853–3857CrossRefGoogle Scholar
  32. Pan H-L, Wu W-S (1994) Implementing a mass-flux convective parameterization package for the NMC medium range forecast model. Preprints, 10th conference on numerical weather prediction, Portland, OR, American Meteorological Society, pp 96–98Google Scholar
  33. Pettitt AN (1979) A non-parametric approach to the change-point problem. Appl Stat 28:126–135. doi:10.2307/2346729 CrossRefGoogle Scholar
  34. Philander SG (1990) El Niño, La Niña, and the Southern Oscillation. Academic Press, San Diego, CAGoogle Scholar
  35. Rayner NA, Parker DE, Horton EB, Folland CK, Alexander LV, Rowell DP, Kent EC, Kaplan A (2003) Global analysis of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res 108:4407. doi:10.1029/2002JD002670 CrossRefGoogle Scholar
  36. Richards TS, O’Brien JJ (1996) The effect of El Niño on US landfalling hurricanes. Bull Am Meteor Soc 77:773–774Google Scholar
  37. Shimpo A, Kanamitsu M, Iacobellis SF, Hong S-Y (2008) Comparison of four cloud schemes in simulating the seasonal mean field forced by the observed sea surface temperature. Mon Wea Rev 136:2557–2575CrossRefGoogle Scholar
  38. Slingo JM (1987) The development and verification of a cloud prediction scheme for the ECMWF model. Q J R Meteorol Soc 113:899–927CrossRefGoogle Scholar
  39. Smith SR, Brolley J, O’Brien JJ, Tartaglione CA (2007) ENSO’s impact on regional US hurricane activity. J Climate 20:1404–1414CrossRefGoogle Scholar
  40. Stefanova L, Misra V, Chan S, O’Brien JJ, Smith TJ III (2012) A proxy for high resolution regional reanalysis for the Southeast United States: assessment of precipitation variability. Climate Dyn 38:2449–2466CrossRefGoogle Scholar
  41. Tartaglione CA, Smith SR, O’Brien JJ (2003) ENSO impact on hurricane landfall probabilities for the Caribbean. J Climate 16:2925–2931CrossRefGoogle Scholar
  42. Tiedtke M (1993) Representation of clouds in large-scale models. Mon Wea Rev 121:3040–3061CrossRefGoogle Scholar
  43. von Storch H, Langenberg H, Feser F (2000) A spectral nudging technique for dynamic downscaling purposes. Mon Wea Rev 128:3664–3673CrossRefGoogle Scholar
  44. Uppala SM et al (2006) The ERA40 re-analysis. Q J R Meteorol Soc. doi:10.1256/qj.04.176
  45. Whitaker JS, Hamill TM (2002) Ensemble data assimilation without perturbed observations. Mon Wea Rev 130:1913–1924CrossRefGoogle Scholar
  46. Yoshimura K, Kanamitsu M, Dettinger M (2010) Regional downscaling for stable water isotopes: a case study of an atmospheric river event. J Geophys Res 115:D18114CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  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

Personalised recommendations