NOAA-CIRES-DOE Twentieth Century Reanalysis (V3): Pressure Level Variables

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There was an issue with pressure level data for Dec 26 1900 values. Please redownload. More details are available.
[ Data Type: Pressure Level | Monolevel | Subsurface | Isentropic | Height Above Surface | Main ]

Brief Description:

  • NOAA-CIRES-DOE 20th Century Reanalysis V3 contains objectively-analyzed 4-dimensional weather maps and their uncertainty from the early 19th century to the 21st century. (20CR Project).

Temporal Coverage:

  • 20CRv3.SI is available for years 1836-1980 and 20CRv3.MO is available for years 1981-2015
  • 3-hourly values for 1836/01/01 0Z to 2015/12/31 21Z.
  • Daily average values for 1836/01/01 to 2015/12/31.
  • Monthly values for 1836/01 to 2015/12 (Combined SI-MO).

Spatial Coverage:

  • 1.0 degree latitude x 1.0 degree longitude global grid (360x181).
  • 90N - 90.0S, 0.0E - 359.E.

Levels:

  • Pressure level and monolevel files. 24 pressure levels (hPa): 1000, 950, 900, 850, 800, 750, 700, 650, 600, 550, 500, 450, 400, 350, 300, 250, 200, 150, 100, 70, 50, 30, 20, 10.

Update Schedule:

  • Irregular

Usage Restrictions:

  • None

Detailed Description:

  • Observations (Pressure): ISPD version 4.7. The surface pressure observations have been made available through international cooperation facilitated by the Atmospheric Circulation Reconstructions over the Earth (ACRE) initiative and working groups of the Global Climate Observing System and World Climate Research Programme.
  • Sea Surface Temperature Boundary Condition: prior to 1981(20CRv3.SI): 8 members of pentad interpolated to daily Simple Ocean Data Assimilation with Sparse Input (SODAsi) version 3 (SODAsi.3, Giese et al. 2016) seasonally adjusted to the 1981-2010 HadISST2.2 climatology. Regions where sea ice was ever indicated in HadISST2.3 are filled with: HadISST2.2 daily (1963+); HadISST2.1 monthly interpolated to daily (1850-1962); or the 1861–1891 HadISST2.1 climatology (1849 and earlier). 1981 and later (20CRv3.MO): 8 members of pentad interpolated to daily HadISST2.2 sea surface temperatures. Sea Ice Concentration Boundary Condition: monthly HadISST2.3 sea ice (Slivinski et al. 2019; Titchner & Rayner 2014; Walsh et al. 2015).
  • Model: NCEP GFS v14.0.1; Noah land surface model and thermodynamic ice model as described in Compo et al. (2011).
  • Model Resolution:  20CRv3 is run at a resolution of T254 (approximately 75km at the equator) with 64 vertical levels up to .3mb and 80 individual ensemble members.
  • Assimilation: Ensemble Filter as in 20CRv2 and 20CRv2c, and as described in Compo et al. (2011), Compo et al. (2006), Whitaker et al. (2004), but additionally using a 4-dimensional incremental analysis update (Lei & Whitaker 2016).
  • Streams: As in Compo et al. 2011, every 5th year is produced in parallel for a continuous 5 year stream that started from September of stream year-1. Stream years are 1835, 1840,..., 2005, 2010. Released data start in January of stream year + 1, e.g., 1836 to 1840, 1841 to 1845, ..., 2010 to 2015. Stream year 2010 will be extended beyond 2015.
  • Model Notes: Version 14.0.1 of the GFS became operational at NCEP in fall 2017. Several adjustments were made to the operational model prior to implementation in the 20CRv3 system. First, the operational model includes an ensemble run at a resolution of T574, with a single deterministic forecast run at a resolution of T1534. The version of the GFS used in 20CRv3 is run at a resolution of T254. Second, the dry air mass is specified to be 98.305 kPa (Trenberth and Smith, 2005). Third, as in 20CRv2c, sea ice concentrations are allowed down to 0.15. Fourth, the radiation interacts with CMIP5 ozone from 1850 onwards (Cionni et al., 2011)); prior to 1850, it uses 1850-level CMIP5 ozone. The model still advances a prognostic ozone determined from a gas-phase parameterization of linearized ozone production and loss (McCormack et al., 2006) implemented by NCEP/EMC (Moorthi, pers. comm.) This prognostic ozone is output during model forecasts, but is not used in the internal radiation computations. This was done to prevent spurious trends associated with the fact that the prognostic ozone scheme was developed for conditions that existed in the late 20th century, including ozone depletion and the ‘ozone hole’ associated with CFC emissions. Next, the solar forcing in 20CRv3 is determined from the Total Solar Irradiance Reconstruction based on NRLTSI2 (Coddington et al., 2016). Volcanic aerosols in 20CRv3 are prescribed as per Crowley and Unterman (2013). A hybrid eddy-diffusivity mass-flux boundary layer parameterization was used as described by Han et al. (2016), but the dissipative heating in tropical cyclones that is used operationally was turned off for 20CRv3 (Pegion, pers. comm.) The coefficients that determine the auto-conversion from ice to snow were decreased from the operational values of (6e-4, 3e-4) to (2e-4, 2e-4) as the larger values were found to give a substantial warm bias in the global mid-troposphere. These lower values appear to be more consistent with the reduced spatial resolution used here. The model uses two stochastic physics schemes: Stochastically Perturbed Parametrization Tendencies (SPPT; Palmer et al. (2009); Shutts et al. (2011)) and specific humidity perturbations (SHUM; Tompkins and Berner (2008)), which perturbs the humidity fields directly (see Wang et al. (2019) for a description of the GFS implementation). The snow depth and lower 3 soil moisture levels are both subject to a 60-day relaxation to monthly climatology (Saha et al., 2010). The prescribed CO2 and other physical parameterizations are unchanged from 20CRv2c and are described by Compo et al. (2011); Saha et al. (2010) and summarized by Fujiwara et al. (2017).

References

Key References 
  • 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.
  • 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.
  • 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 Selected References
  • 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/.
  • 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.
  • 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.
  • 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/.
  • 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/.
  • 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.
  • 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
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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
  • 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
  • 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.
  • 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
  • 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

Caveats:

  • None

Download/Plot Data:

  • Note: Ensemble Spread is the standard deviation of the ensemble deviations at each time (not RMS).

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
Air temperature Pressure Levels 8x Daily Ensemble Means SI air.yyyy.nc(See List) plotSearch Sample File Metadata
Air temperature Pressure Levels 8x Daily Ensemble Means MO air.yyyy.nc(See List) plotSearch Sample File Metadata
Air temperature Pressure Levels 8x Daily Ensemble Spread SI air.yyyy.nc (See List1) plotSearch Sample File Metadata
Air temperature Pressure Levels 8x Daily Ensemble Spread MO air.yyyy.nc (See List2) plotSearch Sample File Metadata
Air temperature Pressure Levels 8x Daily Ensemble Long Term Mean air.1981.nc plotSearch File Metadata
Air temperature Pressure Levels Daily Mean SI air.1981.nc(See List) plotSearch Sample File Metadata
Air temperature Pressure Levels Daily Mean MO air.1981.nc(See List) plotSearch Sample File Metadata
Air temperature Pressure Levels Daily Mean LTM air.1981.nc plotSearch File Metadata
Air temperature Pressure Levels Monthly Mean SI-MO air.mon.mean.nc plotSearch File Metadata
Air temperature Pressure Levels Monthly Spread SI-MO air.mon.mean.nc plotSearch File Metadata
Air temperature Pressure Levels Monthly Mean LTM air.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
Geopotential height Pressure Levels 8x Daily Ensemble Means SI hgt.yyyy.nc(See List) plotSearch Sample File Metadata
Geopotential height Pressure Levels 8x Daily Ensemble Means MO hgt.yyyy.nc(See List) plotSearch Sample File Metadata
Geopotential height Pressure Levels 8x Daily Ensemble Spread SI hgt.yyyy.nc (See List1) plotSearch Sample File Metadata
Geopotential height Pressure Levels 8x Daily Ensemble Spread MO hgt.yyyy.nc (See List2) plotSearch Sample File Metadata
Geopotential height Pressure Levels 8x Daily Ensemble Long Term Mean hgt.1981.nc plotSearch File Metadata
Geopotential height Pressure Levels Daily Mean SI hgt.1981.nc(See List) plotSearch Sample File Metadata
Geopotential height Pressure Levels Daily Mean MO hgt.1981.nc(See List) plotSearch Sample File Metadata
Geopotential height Pressure Levels Daily Mean LTM hgt.1981.nc plotSearch File Metadata
Geopotential height Pressure Levels Monthly Mean SI-MO hgt.mon.mean.nc plotSearch File Metadata
Geopotential height Pressure Levels Monthly Spread SI-MO hgt.mon.mean.nc plotSearch File Metadata
Geopotential height Pressure Levels Monthly Mean LTM hgt.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
Omega (dp/dt) Pressure Levels 8x Daily Ensemble Means SI omega.yyyy.nc(See List) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels 8x Daily Ensemble Means MO omega.yyyy.nc(See List) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels 8x Daily Ensemble Spread SI omega.yyyy.nc (See List1) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels 8x Daily Ensemble Spread MO omega.yyyy.nc (See List2) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels 8x Daily Ensemble Long Term Mean omega.1981.nc plotSearch File Metadata
Omega (dp/dt) Pressure Levels Daily Mean SI omega.1981.nc(See List) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels Daily Mean MO omega.1981.nc(See List) plotSearch Sample File Metadata
Omega (dp/dt) Pressure Levels Daily Mean LTM omega.1981.nc plotSearch File Metadata
Omega (dp/dt) Pressure Levels Monthly Mean SI-MO omega.mon.mean.nc plotSearch File Metadata
Omega (dp/dt) Pressure Levels Monthly Spread SI-MO omega.mon.mean.nc plotSearch File Metadata
Omega (dp/dt) Pressure Levels Monthly Mean LTM omega.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
Relative Humidity Pressure Levels 8x Daily Ensemble Means SI rhum.yyyy.nc(See List) plotSearch Sample File Metadata
Relative Humidity Pressure Levels 8x Daily Ensemble Means MO rhum.yyyy.nc(See List) plotSearch Sample File Metadata
Relative Humidity Pressure Levels 8x Daily Ensemble Spread SI rhum.yyyy.nc (See List1) plotSearch Sample File Metadata
Relative Humidity Pressure Levels 8x Daily Ensemble Spread MO rhum.yyyy.nc (See List2) plotSearch Sample File Metadata
Relative Humidity Pressure Levels 8x Daily Ensemble Long Term Mean rhum.1981.nc plotSearch File Metadata
Relative Humidity Pressure Levels Daily Mean SI rhum.1981.nc(See List) plotSearch Sample File Metadata
Relative Humidity Pressure Levels Daily Mean MO rhum.1981.nc(See List) plotSearch Sample File Metadata
Relative Humidity Pressure Levels Daily Mean LTM rhum.1981.nc plotSearch File Metadata
Relative Humidity Pressure Levels Monthly Mean SI-MO rhum.mon.mean.nc plotSearch File Metadata
Relative Humidity Pressure Levels Monthly Spread SI-MO rhum.mon.mean.nc plotSearch File Metadata
Relative Humidity Pressure Levels Monthly Mean LTM rhum.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
Specific Humidity Pressure Levels 8x Daily Ensemble Means SI shum.yyyy.nc(See List) plotSearch Sample File Metadata
Specific Humidity Pressure Levels 8x Daily Ensemble Means MO shum.yyyy.nc(See List) plotSearch Sample File Metadata
Specific Humidity Pressure Levels 8x Daily Ensemble Spread SI shum.yyyy.nc (See List1) plotSearch Sample File Metadata
Specific Humidity Pressure Levels 8x Daily Ensemble Spread MO shum.yyyy.nc (See List2) plotSearch Sample File Metadata
Specific Humidity Pressure Levels 8x Daily Ensemble Long Term Mean shum.1981.nc plotSearch File Metadata
Specific Humidity Pressure Levels Daily Mean SI shum.1981.nc(See List) plotSearch Sample File Metadata
Specific Humidity Pressure Levels Daily Mean MO shum.1981.nc(See List) plotSearch Sample File Metadata
Specific Humidity Pressure Levels Daily Mean LTM shum.1981.nc plotSearch File Metadata
Specific Humidity Pressure Levels Monthly Mean SI-MO shum.mon.mean.nc plotSearch File Metadata
Specific Humidity Pressure Levels Monthly Spread SI-MO shum.mon.mean.nc plotSearch File Metadata
Specific Humidity Pressure Levels Monthly Mean LTM shum.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
u-wind Pressure Levels 8x Daily Ensemble Means SI uwnd.yyyy.nc(See List) plotSearch Sample File Metadata
u-wind Pressure Levels 8x Daily Ensemble Means MO uwnd.yyyy.nc(See List) plotSearch Sample File Metadata
u-wind Pressure Levels 8x Daily Ensemble Spread SI uwnd.yyyy.nc (See List1) plotSearch Sample File Metadata
u-wind Pressure Levels 8x Daily Ensemble Spread MO uwnd.yyyy.nc (See List2) plotSearch Sample File Metadata
u-wind Pressure Levels 8x Daily Ensemble Long Term Mean uwnd.1981.nc plotSearch File Metadata
u-wind Pressure Levels Daily Mean SI uwnd.1981.nc(See List) plotSearch Sample File Metadata
u-wind Pressure Levels Daily Mean MO uwnd.1981.nc(See List) plotSearch Sample File Metadata
u-wind Pressure Levels Daily Mean LTM uwnd.1981.nc plotSearch File Metadata
u-wind Pressure Levels Monthly Mean SI-MO uwnd.mon.mean.nc plotSearch File Metadata
u-wind Pressure Levels Monthly Spread SI-MO uwnd.mon.mean.nc plotSearch File Metadata
u-wind Pressure Levels Monthly Mean LTM uwnd.mon.ltm.nc plotSearch File Metadata

Variable Level Statistic Download File Create Plot/Subset Sample File metadata
v-wind Pressure Levels 8x Daily Ensemble Means SI vwnd.yyyy.nc(See List) plotSearch Sample File Metadata
v-wind Pressure Levels 8x Daily Ensemble Means MO vwnd.yyyy.nc(See List) plotSearch Sample File Metadata
v-wind Pressure Levels 8x Daily Ensemble Spread SI vwnd.yyyy.nc (See List1) plotSearch Sample File Metadata
v-wind Pressure Levels 8x Daily Ensemble Spread MO vwnd.yyyy.nc (See List2) plotSearch Sample File Metadata
v-wind Pressure Levels 8x Daily Ensemble Long Term Mean vwnd.1981.nc plotSearch File Metadata
v-wind Pressure Levels Daily Mean SI vwnd.1981.nc(See List) plotSearch Sample File Metadata
v-wind Pressure Levels Daily Mean MO vwnd.1981.nc(See List) plotSearch Sample File Metadata
v-wind Pressure Levels Daily Mean LTM vwnd.1981.nc plotSearch File Metadata
v-wind Pressure Levels Monthly Mean SI-MO vwnd.mon.mean.nc plotSearch File Metadata
v-wind Pressure Levels Monthly Spread SI-MO vwnd.mon.mean.nc plotSearch File Metadata
v-wind Pressure Levels Monthly Mean LTM vwnd.mon.ltm.nc plotSearch File Metadata

Related File Naming & Structure Information:

File Names:

  • 8-times daily /Datasets/20thC_ReanV3/prs[SI|MO]/filename
  • Daily /Datasets/20thC_ReanV3/Dailies/prs[SI|MO]/filename
  • Monthly /Datasets/20thC_ReanV3/Monthlies/prs[SI|MO]/filename
  • 8-times daily ensemble spread/Datasets/20thC_ReanV3/prs_sprd[SI|MO]/filename
  • Monthly ensemble spread /Datasets/20thC_ReanV3/Monthlies/prs_sprd[SI|MO]/filename

Dataset Format and Size:

Missing Data:

  • Missing data is flagged with a value of -9.96921e+36f.

OpenDap File Structure:

  • https://psl.noaa.gov/thredds/dodsC/Datasets/20thC_ReanV3[SI|MO]/prs/filename
  • https://psl.noaa.gov/thredds/dodsC/Datasets/20thC_ReanV3[SI|MO]/prs_sprd/filename

FTP File Names:

  • ftp.cdc.noaa.gov/Datasets/20thC_ReanV3/prs/*
  • ftp.cdc.noaa.gov/Datasets/20thC_ReanV3/prs_sprd/*
  • ftp.cdc.noaa.gov/Datasets/20thC_ReanV3/Dailies/prs/*
  • ftp.cdc.noaa.gov/Datasets/20thC_ReanV3/Dailies/prs_sprd/*

Citation:

  • Please note: If you acquire 20th Century Reanalysis data products from PSL, we ask that you acknowledge us in your use of the data. This may be done by including text such as 20th Century Reanalysis data provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, from their Web site at https://psl.noaa.gov/ in any documents or publications using these data. We would also appreciate receiving a copy of the relevant publications. This will help PSL to justify keeping the 20th Century Reanalysis data set freely available online in the future. Thank you!
  • Key References 
    • 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. ; 145; 2876– 2908. doi:10.1002/qj.3598.
    • 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.
    • 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 Selected References
    • 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/.
    • 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.
    • 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.
    • 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/.
    • 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/.
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References:

Original Source:

  • Data are courtesy of Laura Slivinski1,2, Gilbert Compo1,2 , Jeff Whitaker2, and Prashant Sardeshmukh1,2.
    1. University of Colorado CIRES, 2. NOAA Physical Sciences Laboratory.

Other Sources:

Contact:

    For help with the dataset please contact Laura Slivinski, Research Scientist, University of Colorado CIRES: laura.slivinski@noaa.gov; or Gil Compo, Senior Research Scientist, University of Colorado CIRES: compo@colorado.edu Physical Sciences Laboratory: Data Management NOAA PSL 325 Broadway Boulder, CO 80305-3328 psl.data@noaa.gov
  • Physical Sciences Laboratory: Data Management
    NOAA/ESRL/PSL
    325 Broadway
    Boulder, CO 80305-3328
    psl.data@noaa.gov