20th Century Reanalysis References

Submitted by Cathy.Smith@noaa.gov on Tue, 08/24/2010 - 08:52

Key References

  1. Slivinski, L. C., Compo, G. P., Whitaker, J. S., Sardeshmukh, P. D., Giese, B. S., McColl, C., Allan, R., Yin, X., Vose, R., Titchner, H., Kennedy, J., Spencer, L. J., Ashcroft, L., Brönnimann, S., Brunet, M., Camuffo, D., Cornes, R., Cram, T. A., Crouthamel, R., Domínguez‐Castro, F., Freeman, J. E., Gergis, J., Hawkins, E., Jones, P. D., Jourdain, S., Kaplan, A., Kubota, H., Le Blancq, F., Lee, T., Lorrey, A., Luterbacher, J., Maugeri, M., Mock, C. J., Moore, G. K., Przybylak, R., Pudmenzky, C., Reason, C., Slonosky, V. C., Smith, C., Tinz, B., Trewin, B., Valente, M. A., Wang, X. L., Wilkinson, C., Wood, K. and Wyszyński, P. (2019), Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Q J R Meteorol Soc. (accepted) doi:10.1002/qj.3598.
  2. Giese, B.S., H.F. Seidel, G.P. Compo, and P.D. Sardeshmukh, 2016: An ensemble of ocean reanalyses for 1815-2013 with sparse observational input. J. Geophys. Res. Oceans, 121, 6891-6910, doi:10.1002/2016JC012079.
  3. Compo, G.P., J.S. Whitaker, P.D. Sardeshmukh, N. Matsui, R.J. Allan, X. Yin, B.E. Gleason, R.S. Vose, G. Rutledge, P. Bessemoulin, S. Brönnimann, M. Brunet, R.I. Crouthamel, A.N. Grant, P.Y. Groisman, P.D. Jones, M. Kruk, A.C. Kruger, G.J. Marshall, M. Maugeri, H.Y. Mok, Ø. Nordli, T.F. Ross, R.M. Trigo, X.L. Wang, S.D. Woodruff, and S.J. Worley, 2011: The Twentieth Century Reanalysis Project. Quarterly J. Roy. Meteorol. Soc., 137, 1-28. http://dx.doi.org/10.1002/qj.776

Other references:

  1. Cionni, I., Eyring, V., Lamarque, J. F., Randel, W. J., Stevenson, D. S., Wu, F., Bodeker, G. E., Shepherd, T. G., Shindell, D. T. and Waugh, D. W. (2011) Ozone database in support of CMIP5 simulations: results and corresponding radiative forcing. Atmospheric Chemistry and Physics, 11, 11267–11292. URL: https://www.atmos-chem-phys.net/11/11267/2011/.
  2. Coddington, O., Lean, J. L., Pilewskie, P., Snow, M. and Lindholm, D. (2016) A solar irradiance climate data record. Bulletin of the American Meteorological Society, 97, 1265–1282. URL: https://doi.org/10.1175/BAMS-D-14-00265.1.
  3. Compo, G.P., J.S. Whitaker, and P.D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using only surface pressure data. Bull. Amer. Met. Soc., 87, 175-190, http://dx.doi.org/10.1175/BAMS-87-2-175.
  4. Crowley, T. J. and Unterman, M. B. (2013) Technical details concerning development of a 1200 yr proxy index for global volcanism. Earth System Science Data, 5, 187–197. URL: https://www.earth-syst-sci-data.net/5/187/2013/.
  5. Fujiwara, M., Wright, J. S., Manney, G. L., Gray, L. J., Anstey, J., Birner, T., Davis, S., Gerber, E. P., Harvey, V. L., Hegglin, M. I., Homeyer, C. R., Knox, J. A., Krüger, K., Lambert, A., Long, C. S., Martineau, P., Molod, A., Monge-Sanz, B. M., Santee, M. L., Tegtmeier, S., Chabrillat, S., Tan, D. G. H., Jackson, D. R., Polavarapu, S., Compo, G. P., Dragani, R., Ebisuzaki, W., Harada, Y., Kobayashi, C., McCarty, W., Onogi, K., Pawson, S., Simmons, A., Wargan, K., Whitaker, J. S. and Zou, C.-Z. (2017) Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems. Atmospheric Chemistry and Physics, 17, 1417–1452. URL: https://www.atmos-chem-phys.net/17/1417/2017/.
  6. Han, J., Witek, M. L., Teixeira, J., Sun, R., Pan, H.-L., Fletcher, J. K. and Bretherton, C. S. (2016) Implementation in the NCEP GFS of a hybrid eddy-diffusivity mass-flux (EDMF) boundary layer parameterization with dissipative heating and modified stable boundary layer mixing. Weather and Forecasting, 31, 341–352. https://doi.org/10.1175/WAF-D-15-0053.1.
  7. Lei, L. and Whitaker, J. S. (2016) A four-dimensional incremental analysis update for the ensemble Kalman filter. Monthly Weather Review, 144, 2605–2621.https://doi.org/10.1175/MWR-D-15-0246.1
  8. McCormack, J., Eckermann, S., Siskind, D. and McGee, T. (2006) CHEM2D-OPP: A new linearized gas-phased ozone photo- chemistry parameterization for high-altitude NWP and climate models. Tech. rep., NAVAL RESEARCH LAB WASHINGTON DC.
  9. Palmer, T., Buizza, R., Doblas-Reyes, F., Jung, T., Leutbecher, M., Shutts, G., Steinheimer, M. and Weisheimer, A. (2009) Stochastic parametrization and model uncertainty. ECMWF Tech. Memo, 598, 1–42.
  10. Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D. et al. (2010) The NCEP climate forecast system reanalysis. Bulletin of the American Meteorological Society, 91, 1015–1058.https://doi.org/10.1175/2010BAMS3001.1
  11. Shutts, G., Leutbecher, M., Weisheimer, A., Stockdale, T., Isaksen, L. and Bonavita, M. (2011) Representing model uncertainty: stochastic parameterizations at ECMWF. ECMWF Newsletter, 129, 19–24.
  12. Titchner, H. A. and Rayner, N. A. (2014) The Met Office Hadley Centre sea ice and sea surface temperature data set, version 2: 1. Sea ice concentrations. Journal of Geophysical Research: Atmospheres, 119, 2864–2889. URL: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2013JD020316.
  13. Tompkins, A. and Berner, J. (2008) A stochastic convective approach to account for model uncertainty due to unresolved humidity variability. Journal of Geophysical Research: Atmospheres, 113. https://doi.org/10.1029/2007JD009284
  14. Trenberth, K. E. and Smith, L. (2005) The mass of the atmosphere: A constraint on global analyses. Journal of Climate, 18, 864–875.https://doi.org/10.1175/JCLI-3299.1
  15. Walsh, J. E., Chapman, W. L. and Fetterer, F. (2015, updated 2016) Gridded monthly sea ice extent and concentration, 1850 onward, version 1. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center.
  16. Wang, J.A., P.D. Sardeshmukh, G.P. Compo, J.S. Whitaker, L.C. Slivinski, C.M. McColl, and P.J. Pegion, 2019: Sensitivities of the NCEP Global Forecast System. Mon. Wea. Rev., 147, 1237–1256, https://doi.org/10.1175/MWR-D-18-0239.1
  17. Whitaker, J.S., G.P. Compo, X. Wei, and T.M. Hamill 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200, http://dx.doi.org/10.1175/1520-0493(2004)132<1190:RWRUED>2.0.CO;2

Earlier versions references

  1. Compo, G.P., J.S. Whitaker, P.D. Sardeshmukh, N. Matsui, R.J. Allan, X. Yin,B.E. Gleason, R.S. Vose, G. Rutledge, P. Bessemoulin, S. Brönnimann, M. Brunet, R.I. Crouthamel, A.N. Grant, P.Y. Groisman, P.D. Jones, M.C. Kruk, A.C. Kruger, G.J. Marshall, M. Maugeri, H.Y. Mok, Ø. Nordli, T.F. Ross, R.M. Trigo, X.L. Wang, S.D. Woodruff, S.J. Worley, 2011: The Twentieth Century Reanalysis Project. Quart. J. Roy. Meteor. Soc., 137, 1-28. DOI:10.1002/qj.776.
  2. Giese, B.S., H.F. Seidel, G.P. Compo, and P.D. Sardeshmukh, 2016: An ensemble of ocean reanalyses for 1815-2013 with sparse observational input. J. Geophys. Res. Oceans, 121, 6891-6910, doi:10.1002/2016JC012079.
  3. Compo,G.P., J.S. Whitaker, and P.D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using only surface pressure data. Bull. Amer. Met. Soc., 87, 175-190, doi:10.1175/BAMS-87-2-175.
  4. Whitaker, J.S., G.P. Compo, X. Wei, and T.M. Hamill 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200, doi:10.1175/1520-0493(2004)132<1190:RWRUED>2.0.CO;2.

Publications that use the 20CR data