- Timestamp:
- Feb 27, 2020, 1:33:18 PM (4 years ago)
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README.md
re18f4b5 r0a1d827 1 # README #1 # flex_extract 2 2 3 This software retrieves ECMWF data and generates FLEXPART specific data files. 4 For each time stamp the software combines all model level and surface level 5 data fields which were modified to match FLEXPART's needs and were then 6 stored in single files with the format prefixYYMMDDHH. 3 `flex_extract` is a software package to support retrieving meteorological fields from the European Centre for Medium-Range Weather Forecasts' (ECMWF) Meteorological Archival and Retrieval System (MARS) as input for the `FLEXTRA`/`FLEXPART` Atmospheric Transport Modelling system. 4 5 `FLEXPART` (“FLEXible PARTicle dispersion model”, http://flexpart.eu) is a Lagrangian transport and dispersion model suitable for the simulation of a large range of atmospheric transport processes. 7 6 8 7 9 This directory contains the following sub-directories: 8 ## Installation and Usage 10 9 11 + `python: It contains the python scripts which manage the extraction and 12 the generation of FLEXPART input data files. It also includes the 13 CONTROL files which contain the controlling parameters. 14 + `src: It contains the Fortran source code and Makefile templates 15 to create the CONVERT2 executable (used by the python scripts) to 16 process the ECMWF grib fields, e.g. convert from reduced gaussian to 17 regular latitude-longitude grid. 18 + `grib_templates: It contains a reference table for the ECMWF parameter. 10 There is a documentation within the flex_extract directory which contain all information necessary. 11 Please open the file Documentation/html/index.html in your preferred browser to learn about installation and usage of flex_extract. 19 12 13 ## Project website 20 14 21 For more detailed installation instructions and the user guide please read 22 SIP.pdf and SUT.pdf. 15 https://www.flexpart.eu/wiki/FpInputMetEcmwf 23 16 24 Please report any problems via the ticket system at www.flexpart.eu. 17 ## Authors 25 18 19 Anne Philipp, Leopold Haimberger and Petra Seibert 20 21 ## License 22 (C) Copyright 2014-2019. 23 24 SPDX-License-Identifier: CC-BY-4.0 25 26 This work is licensed under the Creative Commons Attribution 4.0 27 International License. To view a copy of this license, visit 28 http://creativecommons.org/licenses/by/4.0/ or send a letter to 29 Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
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