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Gridding algorithm for Ozone Monitoring Instrument
License: GNU General Public License v3.0
This project forked from gkuhl/omi
Gridding algorithm for Ozone Monitoring Instrument
License: GNU General Public License v3.0
Description =========== The OMI Python package is an implementation of a gridding algorithm to project measurements of the Ozone Monitoring Instrument (OMI) from the instrument’s frame of reference to a longitude-latitude grid. The algorithm is described in the following paper. Please cite the it, if you use this software in your work: Kuhlmann, G., Hartl, A., Cheung, H. M., Lam, Y. F., and Wenig, M. O.: A novel gridding algorithm to create regional trace gas maps from satellite observations, Atmos. Meas. Tech., 7, 451-467, doi:10.5194/amt-7-451-2014, 2014. Requirements ============ - python 2.6, 2.7 and 3.x (not all versions have been tested) - numpy - scipy - h5py - cython (only if C code shall be created from *.pyx) - matplotlib (only for plotting) - basemap (only for plotting) Installing ========== 1) You can download the directory containing the source code using the git clone command. Type: git clone https://github.com/gkuhl/omi (If you don't have "git" installed on your computer, you can also download the source code using the "Download ZIP" button on the GitHub website.) 2) "cd" into the directory created by "git". 3) To build the C code in the package run python setup.py build This requires a C compiler and "cython". If you don't want to use "cython", please modify the "setup.py" file by changing USE_CYTHON = True to USE_CYTHON = False 4) To finish the installation run python setup.py install If you want to install the package locally, you can use the "--user" option: python setup.py install --user 5) To test the installation, you can try the example script "OMNO2_Trop.py". Please note that you have to download the OMI NO2 and PIXCOR data at http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/OMI to run the example. Please read the example script for details. Documentation ============= The package provides functions for created Level 3 data using either constant values or parabolic splines. An example script for OMI tropospheric NO2 column densities is provided in the example folder. Please read the description in the example script ("OMNO2_Trop.py") and the docstrings in the source code for detailed information. Copyright ========= Copyright (C) 2013 Gerrit Kuhlmann This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. Contact ======= Gerrit Kuhlmann <[email protected]> http://gkuhl.wordpress.com
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