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Quite recently the European Centre for Medium-Range Weather Forecasts (ECMWF) started publishing the new ERA-5 reanalysis data set. In the procedure below the output data is … ERA5 is produced using high-resolution forecasts (HRES) at 31 kilometer resolution (one fourth the spatial resolution of the operational model) and a 62 kilometer resolution ten member 4D-Var ensemble of data assimilation (EDA) in CY41r2 of ECMWF's Integrated Forecast System (IFS) with 137 hybrid sigma-pressure (model) levels in the vertical, up to a top level of 0.01 hPa.
This is a brief introduction on how to access ERA-5 data Export to Word Please see the article Then divide the surface geopotential by g=9.80665 to obtain the surface geopotential height in metres. In ERA5, geopotential (z) is provided at the surface, but not on individual model levels (ml). ERA5.1 also includes the more restrictive ensemble assimilation of SBUV ozone data that was used in production of ERA5 for 1979 to 1999." The geopotential height plays an important role in synoptic meteorology (analysis of weather patterns). It provides hourly estimates of atmospheric variables, a horizontal resolution of 31 km and 137 vertical levels from the surface to 0.01 hPa. Export to Word Run the script 'compute_geopotential_on_ml.py' with the correct arguments, i.e. For more details please see the IFS model documentation, Cycle 41r2, The ECMWF model assumes the Earth is a perfect sphere, but the geodetic latitude/longitude of the surface elevation datasets are used as if they were the spherical latitude/longitude of the ECMWF model.ECMWF data is referenced in the horizontal with respect to the WGS84 ellipse (which defines the major/minor axes) but in the vertical it is referenced to the Geoid (EGM96).For data in GRIB1 format the earth model is a sphere with radius = 6367.47 km, as defined in the For data in GRIB2 format the earth model is a sphere with radius = 6371.2290 km, as defined in the For data in NetCDF format (i.e. View Source the documentation of the underlying model, ECMWF's {"serverDuration": 170, "requestCorrelationId": "478049976419bfcb"} ERA5 will ultimately be extended back to 1950. Surface elevation datasets used by ERA5 In order to define the surface geopotential in ERA5, the ECMWF model uses surface elevation data interpolated from a combination of SRTM30 and other surface elevation datasets. ECMWF provides two tools for this, a MetView macro and a Python script, which are the recommended methods, but only work on Linux, and output geopotential as an area, not for a specific location. However, geopotential on model levels can be computed using the procedure described below.
However, geopotential on model levels can be computed using the procedure described below.In the procedure below the output data is written in GRIB format.Note, this procedure is an approximation to the calculation in the IFS, which also takes account of the effects of cloud ice and water and rain and snow.Your computer must be set up for downloading ERA5 model level data (from the 'reanalysis-era5-complete' dataset, stored in ECMWF's MARS catalogue) through the CDS API. People who can view This script was written for the ERA-Interim dataset, but can be adapted to ERA5. : {"serverDuration": 172, "requestCorrelationId": "44746247974a7340"} ERA5 is produced using high-resolution forecasts (HRES) at 31 kilometer resolution (one fourth the spatial resolution of the operational model) and a 62 kilometer resolution ten member 4D-Var ensemble of data assimilation (EDA) in CY41r2 of ECMWF's Integrated Forecast System (IFS) with 137 hybrid sigma-pressure (model) levels in the vertical, up to a top level of 0.01 hPa.
The successor to ERA-Interim, ERA5, is available back to 1979 as of January, 2019.
And even better: a nice API grants easy access to this wonderful data set. "ERA5.1 provides analyses with better global-mean temperatures in the stratosphere and uppermost troposphere than provided by ERA5. In cooperation with the European Union (Copernicus) this data set is freely available to everyone!
In ERA5, geopotential (z) is provided at the surface, but not on individual model levels (ml). works on Microsoft Windows), and for a specific location. Export to PDF Export to PDF Inputs: 1. geopotential (z) at the surface 2. logarithm of surface pressure (lnsp) 3. temperature and specific humidity on all the model levels Output: Geopotential for each level, in m2/s2. The procedure is:The script produces two files in the current working directory:We then use a Python script to compute geopotential (z) for all model levels:Alternatively, there is a customer-supplied script that computes geopotential on model levels from NetCDF files (i.e. In ERA5, and often in meteorology, altitudes (the altitude of the land and sea surface, or specific altitudes in the atmosphere) are not represented as geometric altitude (in metres above the spheroid), but as geopotential height (in metres above the geoid). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges.
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