To see the script you have to use "View MARS Request" button. Please note that the fields shown on this interface are a subset of the ERA Interim dataset. The ERA-Interim Archive. 2011 for details. 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. It provides hourly estimates of atmospheric variables, a horizontal resolution of 31 km and 137 vertical levels from the surface to 0.01 hPa. Soc., 95(9), 1419-1430, Dr. Dick Dee at Joint Center for Satellite Data Assimilation, Atmospheric Reanalysis: Overview & Comparison Tables, Simplistic Overview of Reanalysis Data Assimilation Methods, Climate Forecast System Reanalysis (CFSR), ECMWF Known Quality Issues with ERA-Interim, NCAR | National Center for Atmospheric Research, A timeline of the complete observing system used in ERA-Interim. Quart. Dee, D P and S Uppala 2008. A.S. et al (2014): ERA-CLIM: Historical Surface and Upper-Air Data for Future Reanalyses. (contributed by D. Dee), Evolution of skill in ECMWF operational forecasts (top panel) and in re-forecasts produced by the ERA-Interim system (bottom panel). Res., 117, D10104, doi:10.1029/2011JD017421. Quart. Shortcomings in data assimilation methodology. How does this change in time?
ECMWF Technical Memorandum 575. Bull. Dee, Dick & National Center for Atmospheric Research Staff (Eds).
Retrieved from https://climatedataguide.ucar.edu/climate-data/era-interim. In actual fact, reanalysis combines inaccurate and incomplete observations with imperfect models, using methods and procedures that are technically and scientifically complex. The full list of fields can be found Dee, D.P., and S. Uppala, 2009: Variational bias correction of satellite radiance data in the ERA-Interim reanalysis.
For calculating geopotential, see equation 2.21 in Part III "Dynamics and numerical procedures" of the ERA-Interim model documentation: This would give you the most accurate answer. Please, make sure you are aware of MARS request efficiency before retrieving any data. DIfferent colors correspond to different satellites. Name Long name Units Comment; isen: isentropic: K: lower case, because ERA seems to use lower case for dimensions: ZH: Geopotential height m: In ERA Z is geopotential Using a much improved atmospheric model and assimilation system from those used in ERA-40, ERA-Interim represents a third generation reanalysis. (Migrated to Atmosphere Data Store), CAMS Climate Forcing Estimates (2003 -2012) Will be extended, ICOADS v2.5.1 with interpolated NOAA 20CR feedback, Monthly Means of Daily Forecast Accumulations. here. Lack of observations. Limitations and caveats of reanalysis data mainly result from: Several of these items have to do with a lack of information. Jones, P.W. Most users do not have access to the information needed to answer the difficult questions listed above. available via the batch access.
Figure produced by Adrian Simmons. See Poli et al. For information on MARS request efficiency, please click See Section 4.5.1 in Dee et al. Quarterly Journal of the Royal Meteorological Society 136: 1972–1990. After December 2006, this drift is somewhat reduced with the introduction of GPS radio occultation data from the COSMIC constellation (Poli et al. It provides hourly estimates of atmospheric variables, a horizontal resolution of 31 km and 137 vertical levels from the surface to 0.01 hPa. Slight excess warming of upper-tropospheric temperatures due to the assimilation of growing numbers of warm-biased temperature measurements from aircraft, beginning in 1999 (Dee and Uppala 2009).
It is necessary (but not always possible) to verify trend estimates by comparing with independent data sets, e.g. (Migrated to Atmosphere Data Store), CAMS Near-real-time (July 2012 - present), CAMS Global Fire Assimilation System (2003 - present), CAMS GHG flux inversions.
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