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A python-based system to diagnosis and make weather maps (wxmap) of numerical weather prediction models using the Grid Analysis and Display System (GrADS) from opengrads.org

ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation :...

The Modular System for Shelves and Coasts (MOSSCO) is a coupling framework for Earth System Models. It helps users to integrate their own numerical models with other developments. Quick Start: git clone git://git.code.sf.net/p/mossco/setups mossco-setups git clone git://git.code.sf.net/p/mossco/code mossco-code cd mossco-code cat QuickStart.md or read online https://sf.net/p/mossco/code/ci/master/tree/QuickStart.md Beware: this is alpha software, expect...

To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ...

ccplot is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products.

--- IMPORTANT : This project has been moved to GitHub at https://github.com/clstoulouse/motu-client-python. Download the last version from the release page https://github.com/clstoulouse/motu-client-python/releases. --- Motu is a high efficient and robust Web Server which fills the gap between heterogeneous Data Providers to End Users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and...

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

General Ocean Turbulence Model

PyRadmon Reborn. This project started after the original programmers quit supporting it. The project now contains support for audio*, has a version that supports two Geiger counters** and a cleaner, more stable code. * = PyAudio is used as library for the audio support. ** = The two counters both run in their own thread. UPDATE-2015-2: * Added timeouts to sockets to prevent crashing of the script. * Updated some comments. UPDATE-2015-1: Since there have been some passed time...

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Physical modelling of water transport in plants

A command line based weather reporting tool written in python. View current weather conditions, extended day forecasts, and station id lookups as reported from weather.com. Customize output via weathergetrc configuration file. Platform independent.

Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.

Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

Methods and testing of methods for automatic analysis of in situ cyclic voltammetry data. This, at least initially, is the code from my masters thesis, which was done as a contribution to a larger project called Aevum. Aevum is being developed at t

Add-ons to the ECMWF GRIB API. This project is about developing and maintaining add-ons to the GRIB API, like language bindings or documentation. The main GRIB API page is at http://www.ecmwf.int/products/data/software/grib_api.html

The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.

This is a python package that allows one to easily create timelines in object-oriented python which later renders to HTML.

Slowmo is an application developed to calculate and plot the travel times of the wave front of a tsunami.

Convertor for import viking maps into archive for TrekBudy java navigation mobile application