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View Source With some exceptions, the RMS errors of all variables for both CFSR and ERA-Interim (verifying with soundings) are similar in magnitude to the RMS difference between these two reanalyses, all of which are approximately twice as large as the corresponding observation errors. Diurnal variations of warm-season precipitation east of the Tibetan Plateau over ChinaComparison of river basin hydrometeorology in ERA-Interim and ERA-40 reanalysis with observationsIntercomparison of humidity and temperature sensors: GTS1, Vaisala RS80, and CFHThe ERA-Interim reanalysis: Configuration and performance of the data assimilation systemA one-year experimental Arctic reanalysis and comparisons with ERA-40 and NCEP/NCAR reanalysesClimate change and variability using European Centre for Medium-Range Weather Forecasts reanalysis (ERA-40) temperatures on the Tibetan PlateauDiurnal variations of warm-season precipitation over Northern ChinaA comparison of extratropical cyclones in recent reanalyses ERA-Interim, NASA MERRA, NCEP CFSR, and JRA-25Assessment of reanalysis daily extreme temperatures with China’s homogenized historical dataset during 1979–2001 using probability density functionsComparison of ERA-40, ERA-Interim and NCEP/NCAR reanalysis data with observed surface air temperatures over IrelandEvaluation of multireanalysis products with in situ observations over the Tibetan PlateauComparison of products from ERA-40, NCEP-2, and CRU with station data for summer precipitation over China These include the following spurious shifts in ERA-Interim time series related to changes in the observing system:In addition, the ERA-Interim snow analyses from 1 July 2003 to 23 February 2010 are affected by a geo-location error introduced during the processing of NESDIS snow cover data. Given the inherent uncertainties in the forecast model, input data, and data assimilation, it is essential to assess the quality of these reanalyses (The enhanced radiosonde observations collected between 10 May and 9 August 1998 during the second Tibetan Plateau Experiment (TIPEX; The reanalysis products of NNRP, CFSR, ERA-40, and ERA-Interim are compared with independent sounding observations during the intensive observing period (IOP) of TIPEX from 10 May to 9 August 1998.

It provides hourly estimates of atmospheric variables, a horizontal resolution of 31 km and 137 vertical levels from the surface to 0.01 hPa. {"serverDuration": 164, "requestCorrelationId": "25a121010f4521ac"} The black squares denote the routine sounding stations, and the white circles denote the added stations in TIPEX.Map plot of terrain elevations (shaded every 1000 m) over the Tibetan Plateau, and locations of the TIPEX IOP radiosonde sites. Using a much improved atmospheric model and assimilation system from those used in ERA-40, ERA-Interim represents a third generation reanalysis.

Insightful review comments by three anonymous reviewers and proofreading by Wei Li and Benjamin Green on earlier versions of the manuscript are also greatly appreciated. DATA DESCRIPTION: Atmospheric mass, moisture and energy budget products from ERA-Interim; calculations are described here.Note: a T-106 spectral truncation has been applied to these data to lessen grid-scale ringing of the model budgets. Search for other works by this author on: The European Center for Medium-Range Weather Forecasts' ERA-Interim reanalysis uses the Integrated Forecast System, cycle 31r2 (IFS-Cy31r2) and covers the period from 1979 to the present.

Page Information It further includes parameters covering the troposphere and stratosphere, offering a range of 60 pressure levels. Original ECMWF variable names were changed to shorter internal names. These more than 3000 soundings at 11 stations are independent of the reanalyses because only those that are not assimilated in any of the reanalyses are used for verification. This study is sponsored by NSF Grants 0840651 and 0904635.If visible, please click on the Kudos Summary button above to view the author's plain language summary of this article. ERA5 data has a time resolution of one hour, whereas the earlier ERA Interim and ERA40 produced data of four values a day. UPDATED THROUGH: Dec 2016. Data locations were shifted by about 100km toward the South-East, causing incorrect removal of snow in some coastal areas in the Northern Hemisphere during winter.