Using a much improved atmospheric model and assimilation system from those used in ERA-40, ERA-Interim represents a third generation reanalysis. Several of the inaccuracies exhibited by ERA-40 such as too-strong precipitation over oceans from the early 1990's onwards and a too-strong Brewer-Dobson circulation in the stratosphere, were eliminated or significantly reduced. ERA-Interim now extends back to 1979 and the analysis is expected to be continued forward until the end of 2018.
The successor to ERA-Interim, ERA5, is available back to 1979 as of January, 2019. It provides hourly estimates of atmospheric variables, a horizontal resolution of 31 km and 137 vertical levels from the surface to 0.01 hPa. ERA5 will ultimately be extended back to 1950.
The following was contributed by Dick Dee (ECMWF), March, 2012 (some of this has been excerpted and placed on the reanalysis overview page):
#Reanalysis data sets in general
Key strengths:
Key weaknesses:
ERA-Interim
Progress (relative to ERA-40) was made in the following areas:
Specific problems in ERA-Interim
A list of known quality issues with ERA-Interim is maintained by the producers at http://www.ecmwf.int/research/era/do/get/index/QualityIssues. 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. 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.
Assessing the quality of reanalysis data
Please visit http://www.ecmwf.int/research/era for up-to-date information about ERA-Interim production, data availability, quality issues, documentation, etc.
Reanalysis data are often used to represent the "true state of the atmosphere according to observations." In actual fact, reanalysis combines inaccurate and incomplete observations with imperfect models, using methods and procedures that are technically and scientifically complex. Limitations and caveats of reanalysis data mainly result from:
Several of these items have to do with a lack of information. They represent fundamental limitations that are not restricted to reanalysis but play a role in any observational data set. (Note: replacing a skillfull forecast model by straightforward spatial interpolation does not solve anything - it is tantamount to removing, not adding, information).
To assess uncertainties in specific variables produced by reanalysis requires answering the following questions:
Users interested in the quality of low-frequency variability and/or trend estimates need to consider these aspects throughout the time period in question. Temporal variation in the observational constraint can produce artificial shifts in the reanalysis time series, especially if the assimilating model has systematic errors. See Section 8 in Dee and Uppala (2008) for a stratospheric example of this problem.
Given the continuous changes in the observing system, and the fact that all models have some systematic errors, users should be cautious when using reanalysis data for climate studies. It is necessary (but not always possible) to verify trend estimates by comparing with independent data sets, e.g. as in Simmons et al (2010).
Most users do not have access to the information needed to answer the difficult questions listed above. On the other hand, producers of reanalysis data do not have the resources (nor the application-specific knowledge) to answer them either. The challenge is to provide better tools and information to support users in making their own uncertainty assessments. In particular, it should be made much easier for a user to get detailed information about the observations used in reanalysis, including the quality assessment and bias adjustments produced by the reanalysis process itself.#
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Dee, Dick & National Center for Atmospheric Research Staff (Eds). Last modified 31 Oct 2019. "The Climate Data Guide: ERA-Interim." Retrieved from https://climatedataguide.ucar.edu/climate-data/era-interim.
Funding: NSF | National Science Foundation
Based at: NCAR | National Center for Atmospheric Research
A Project of: Climate Analysis Section in Climate and Global Dynamics Laboratory
Created by: Climate Data Guide PIs and Staff