People who can view 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. 29 assessed the applicability of four reanalysis data (NCEP-1, NCEP-2, ERA-Interim and JCDAS) in the southeast polar region by using the radiative observation data of the Panda-1 … Keeping in mind that ERA-Interim is published with an offset of about three months from the dataset's reference date, ERA-Interim August 2019 data will be made available towards the end of 2019. ERA-Interim is a climate reanalysis dataset, covering the period from 1979 to 31st August 2019. Limitations and caveats of reanalysis data mainly result from:Several of these items have to do with a lack of information. as in Simmons et al (2010).Most users do not have access to the information needed to answer the difficult questions listed above. The NWP system blends, or assimilates observations with a previous forecast to obtain the best fit to both. Export to Word //ECMWF.

Keeping in mind that ERA-Interim is published with an offset of about three months from the dataset's reference date, ERA-Interim August 2019 data will be made available towards the end of 2019.For the time being and until further notice, ERA-Interim shall continue to be accessible through the ECMWF Web API.

On average, except for temperature at upper levels, both newer-generation reanalyses (CFSR and ERA-Interim) have smaller RMS error and bias than their predecessors (NNRP and ERA-40), consistent with recent studies (e.g., It is also found that there are strong diurnal variations in both RMS error and mean bias that differ greatly among different reanalyses and pressure levels.

This will further add to our understanding of the uncertainties in the reanalysis as a surrogate of observations, as well as in the reliability of using this analysis for examining the regional-scale diurnal cycles (e.g., For ERA-Interim, there is also a strong diurnal variation of mean bias in that differs from variable to variable and between pressure levels (There are also strong diurnal variations in the RMS error for both CFSR and ERA-Interim for different variables at different levels (The quality and reliability of the NCEP–NCAR, NCEP CFSR, ERA-40, and ERA-Interim reanalysis products are compared to sounding observations from an enhanced radiosonde network (11 sites, every 6 h) during the Tibetan Plateau Experiment (TIPEX) conducted from 10 May to 9 August 1998. Temporal variation in the observational constraint can produce artificial shifts in the reanalysis time series, especially if the assimilating model has systematic errors. 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.

In this manner, data is produced at increasingly later times.The ERA-Interim dataset contains atmospheric and surface parameters:Synoptic monthly averages at 00 UTC, 06 UTC, 12 UTC, 18 UTCERA-Interim data is archived in the GRIB file format.Berrisford, P., P. Kållberg,  S. Kobayashi, D. Dee, S. Uppala, A. J. Simmons, P. Poli,  and H. Sato, 2011: Atmospheric conservation properties in ERA-Interim. 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. LEVELS: single level or vertically integrated ERA-Interim now extends back to 1979 and the analysis is expected to be continued forward until the end of 2018.

ERA stands for 'ECMWF Re-Analysis' and refers to a series of research projects at ECMWF which produced various datasets (ERA-Interim, ERA-40, etcetera).. ERA-Interim data is open access and free to download for all uses from the ECMWF data archive. For U.S. mean monthly reanalysis time series, correlations with station data are highest for ERA-Interim (0.90) and lowest for MERRA (0.81) , with CFSR (0.89) very close to ERA-Interim. Using a much improved atmospheric model and assimilation system from those used in ERA-40, ERA-Interim represents a third generation reanalysis. On the other hand, producers of reanalysis data do not have the resources (nor the application-specific knowledge) to answer them either. Resolved comments Please note that the fields shown on this interface are a subset of the ERA Interim dataset.

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