Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP//NCAR analyses of surface air temperature

[1] Anomalies in monthly mean surface air temperature from the 45-Year European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40) and the first National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis are compared with corresponding values from the Climatic Research Unit (CRU) CRUTEM2v data set derived directly from monthly station data. There is mostly very similar short-term variability, especially between ERA-40 and CRUTEM2v. Linear trends are significantly lower for the two reanalyses when computed over the full period studied, 1958–2001, but ERA-40 trends are within 10% of CRUTEM2v values for the Northern Hemisphere when computed from 1979 onward. Gaps in the availability of synoptic surface data contribute to relatively poor performance of ERA-40 prior to 1967. A few highly suspect values in each of the data sets have also been identified. ERA-40's use of screen-level observations contributes to the agreement between the ERA-40 and CRUTEM2v analyses, but the quality of the overall observing system and general character of the ERA-40 data assimilation system are also contributing factors. Temperatures from ERA-40 vary coherently throughout the boundary layer from the late 1970s onward, in general, and earlier for some regions. There is a cold bias in early years at 500 hPa over the data-sparse southern extratropics and at the surface over Antarctica. One indicator of this comes from comparing the ERA-40 analyses with results from a simulation of the atmosphere for the ERA-40 period produced using the same model and same distributions of sea surface temperature and sea ice as used in the ERA-40 data assimilation. The simulation itself reproduces quite well the warming trend over land seen in CRUTEM2v and captures some of the low-frequency variability.

[1]  Keith R. Briffa,et al.  Estimating Sampling Errors in Large-Scale Temperature Averages , 1997 .

[2]  A. Sterl,et al.  On the (In)Homogeneity of Reanalysis Products , 2004 .

[3]  A. Hollingsworth,et al.  Some aspects of the improvement in skill of numerical weather prediction , 2002 .

[4]  W. Collins,et al.  The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation , 2001 .

[5]  J. Houghton,et al.  Climate change 1995: the science of climate change. , 1996 .

[6]  J. Thepaut,et al.  Assimilation and Modeling of the Atmospheric Hydrological Cycle in the ECMWF Forecasting System , 2005 .

[7]  G. Watts,et al.  Climate Change 1995 , 1998 .

[8]  P. Jones,et al.  REPRESENTING TWENTIETH CENTURY SPACE-TIME CLIMATE VARIABILITY. , 1998 .

[9]  P. Jones,et al.  Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology , 1999 .

[10]  Robert Sausen,et al.  Identification of anthropogenic climate change using a second-generation reanalysis , 2004 .

[11]  Nick Rayner,et al.  Adjusting for sampling density in grid box land and ocean surface temperature time series , 2001 .

[12]  P. Jones,et al.  Representing Twentieth-Century Space-Time Climate Variability. Part II: Development of 1901-96 Monthly Grids of Terrestrial Surface Climate , 2000 .

[13]  Xue Wei,et al.  Reanalysis without Radiosondes Using Ensemble Data Assimilation , 2004 .

[14]  Thomas M. Smith,et al.  Global temperature change and its uncertainties since 1861 , 2001 .

[15]  Elizabeth C. Kent,et al.  Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century , 2003 .

[16]  D. Bromwich,et al.  Strong Trends in the Skill of the ERA-40 and NCEP–NCAR Reanalyses in the High and Midlatitudes of the Southern Hemisphere, 1958–2001* , 2004 .

[17]  E. Kalnay,et al.  Impact of urbanization and land-use change on climate , 2003, Nature.

[18]  S. Hagemann,et al.  Can climate trends be calculated from reanalysis data , 2004 .

[19]  John Turner,et al.  The SCAR READER Project: toward a high-quality database of mean Antarctic meteorological observations , 2004 .

[20]  E. Kalnay,et al.  Climate (communication arising): Impact of land-use change on climate , 2004, Nature.

[21]  R. Reynolds,et al.  The NCEP/NCAR 40-Year Reanalysis Project , 1996, Renewable Energy.

[22]  Jean-François Mahfouf,et al.  Evaluation of the Optimum Interpolation and Nudging Techniques for Soil Moisture Analysis Using FIFE Data , 2000 .

[23]  Jean-François Mahfouf,et al.  The representation of soil moisture freezing and its impact on the stable boundary layer , 1999 .

[24]  Kevin E. Trenberth,et al.  Climate (communication arising): Impact of land-use change on climate , 2004, Nature.

[25]  Thomas M. Smith,et al.  An Improved In Situ and Satellite SST Analysis for Climate , 2002 .

[26]  P. Jones,et al.  Hemispheric and Large-Scale Surface Air Temperature Variations: An Extensive Revision and an Update to 2001. , 2003 .