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Python Iris

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  Analyzed 8 months ago

A powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets. http://scitools.org.uk/iris/docs/latest

140K lines of code

29 current contributors

8 months since last commit

3 users on Open Hub

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0.0
 
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MeteoIO

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  Analyzed about 1 month ago

The MeteoIO library aims at making data access easy and safe for numerical simulations in environmental sciences requiring general meteorological data. It is a C++ library provided with complete documentation (tutorials, code examples, API's documentation) under the LGPL v3 license.

43.2K lines of code

2 current contributors

4 months since last commit

2 users on Open Hub

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0.0
 
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Debian Science

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Claimed by Debian Analyzed about 1 year ago

The main goal of the Debian Science project is to provide a system with all the most important free scientific software in each scientific field.

73.4M lines of code

71 current contributors

about 1 year since last commit

2 users on Open Hub

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4.0
   
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Snowpack

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  Analyzed about 1 year ago

The SNOWPACK model ([Lehning 2002a], [Lehning 2002b]) is the operational model of the Swiss avalanche warning service and is available as an integrated software package.

24.2K lines of code

2 current contributors

about 1 year since last commit

2 users on Open Hub

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0.0
 
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Alpine3D

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  Analyzed about 1 month ago

Alpine3D is a spatially distributed (surface), three dimensional (atmospheric) model for analyzing and predicting dynamics of snow-dominated surface processes in mountainous topography. It includes models for snow cover (SNOWPACK), vegetation and soil, snow transport, radiation transfer and runoff ... [More] which can be enabled or disabled on demand. [Less]

14.2K lines of code

3 current contributors

4 months since last commit

2 users on Open Hub

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0.0
 
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metar

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  Analyzed 3 months ago

Trivial weather report.

146 lines of code

1 current contributors

9 months since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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wradlib

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  Analyzed 8 months ago

wradlib - An Open Source Library for Weather Radar Data Processing The wradlib project has been initiated in order facilitate the use of weather radar data as well as to provide a common platform for research on new algorithms. wradlib is an open source library which is well documented and easy ... [More] to use. It is written in the free programming language Python. Weather radar data is potentially useful in meteorology, hydrology and risk management. Its ability to provide information on precipitation with high spatio-temporal resolution over large areas makes it an invaluable tool for short term weather forecasting or flash flood forecasting. [Less]

7.59K lines of code

8 current contributors

8 months since last commit

1 users on Open Hub

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5.0
 
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metaf2xml: parse and decode METAR, TAF, SYNOP, BUOY and AMDAR and w...

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  Analyzed 30 days ago

metaf2xml can download, parse and decode aviation routine weather reports (METAR, SPECI, SAO), aerodrome forecasts (TAF), synoptic observations (SYNOP), observations from buoys (BUOY) and meteorological reports from aircrafts (AMDAR). Data can also be taken from decoded BUFR messages. The extracted ... [More] data can be written as XML or passed to a user-defined function (all done in Perl). It also provides XSLT style sheets to convert the XML to plain language (text, HTML), or XML with different schemas. A web-based (CGI) user interface can be used to download and display up-to-date weather data from NOAA, Ogimet, and other sources. [Less]

28.5K lines of code

1 current contributors

2 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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lscmet

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  Analyzed about 1 year ago

LSC Meteorology Data Viewer, Val Edition (c) 2008 Jonathan Maciel ABOUT The application was created using Microsoft Visual Basic .NET 2005. Lyndon State College is located in Lyndonville, VT. The application reads current and archived data from the meteorology server and displays user-defined ... [More] information. INSTRUCTIONS Download and unzip the zip-file to a location of your choice and run the setup.exe file. REQUIREMENTS Windows OS Microsoft .NET Framework HISTORY The project was created by Jonathan Maciel in the Spring Semester of 2008 for the Visual Basic Programming class. As a Computer Information Systems/Meteorology major, it seemed appropriate to create one based on meteorology. ~ VERSION 1.0 ~ Can load current data or archived data from the year 2000 to the present. Can create up to 3 graphs at a time with 2 variables each from the selection: 10-m Temperature, Barometric Pressure, Dew Point, Precipitation, Relative Humidity, Temperature, Vapor Pressure, Wind Direction, Wind Speed. Can load current imagery with the following four images on the same page: Visual, Water Vapor, Infrared, Surface Plot. The graph page also contains a text box with a detailed summary of the last recorded data from the selected date. If Current is selected, displays the current conditions for Lyndon State College. Another text box contains a forecast from the LSC Weather Center. Each form has a Print option that allows printing of the current form. [Less]

0 lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

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0.0
 
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Mostly written in language not available
Licenses: GPL-3.0+

netcdf4-python

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  Analyzed about 1 year ago

netCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API modelled after ... [More] Scientific.IO.NetCDF, and should be familiar to users of that module. Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported. NEWS: 20100226 There is a bug writing netCDF-4 files on big-endian platforms with more than 8 attributes attached to a variable or group. It is described here: http://www.hdfgroup.org/HDF5/release/known_problems/index.html That bug is fixed by release HDF5 1.8.4 Patch 1, available from the HDF5 downloads page: http://www.hdfgroup.org/downloads/index.html Building any version of netcdf-4 with HDF5 1.8.4 Patch 1 fixes that bug. A separate, unrelated bug in netcdf-4.1 requires the conditions described here: http://www.unidata.ucar.edu/mailing_lists/archives/netcdfgroup/2010/msg00070.html That bug is fixed in the forthcoming netcdf-4.1.1 release. 20100209: Version 0.9 released (bugfixes, netcdf-4.1 compatibility). 20090818: Version 0.8.2 released. vlen and compound types fully supported with netcdf-4.1-beta2 or higher. 20090621: Version 0.8.1 released with experimental variable-length (vlen) data type support. 20090603: Compound types now work properly since the netcdf-4.1-beta-20090603 snapshot. I've disabled the compound types tests until 4.1 is released. 20090421: The initial compound data type support is 0.8 is broken (it only works correctly if all the members of the compound type have the same bit width). I'm trying to figure out if this is a bug in the netcdf library, the extension module, or both. So, if you are concerned about the test failures, just move tst_compoundvar.py out of the way. 20090418: version 0.8 released with support for compound data types (which map to numpy structured, i.e. 'record', arrays). 20090402: tst_dap.py in version 0.7.7 will fail due to a bug in the newly released netcdf-4.0.1 final. To skip the dap test, just rename test/tst_dap.py to test/tst_dap.py.skip and run test/run_all.py again. 20090217: version 0.7.7 released. David Huard has re-worked 'fancy indexing', adding new features and making it less of a memory hog. However, it is now no longer compatible with numpy fancy indexing - 1d arrays of boolean or integer indices work independently on each dimension (similar to the way vector subscripts work in fortran). This enables things like: >>> tempdat = temp[[0,1,3],lats>0,lons>0](retrieves 1st, 2nd and 4th levels, all Northern Hem. and Eastern Hem. grid points - note that this would raise an error in numpy). 20090124: netcdf4-python now included in the Enthought Python Distribution (v4.1.30101). 20081223: If built against netcdf-4.0.1-beta2 (compiled with --enable-dap), you can access remote opendap datasets by specifying a URL instead of a filename when creating a Dataset instance. 20080922: Version 0.7.6 released. See Changelog. 20080801: Version 0.7.5 released. Bugfixes, mainly in MFDataset. Some new features in MFDataset. 20080508: Version 0.7.4 released. Use with netcdf-4.0 and HDF5 1.8.1. 20080414: Version 0.7.3.1 does not work with recent snapshots of the netCDF4 library. Click the 'Source' tab to download the latest source from SVN instead. I'm waiting the netcdf-4-beta2 (due any day now) before making a new source release. 20080101: As of version 0.7.3, a netCDF3 module is now included, for those who don't want to install bleeding-edge versions of the netcdf-4 and HDF5 libraries. Some features not found the Scientific.IO.NetCDF module: ability to read multi-file netCDF Datasets, making variables spanning multiple files appear as if they were in one file. support for masked arrays, automatic packing and unpacking of packed integer data. supports more complicated slicing (including numpy 'fancy indexing'). includes convenience functions for converting to and from datetime objects to numeric time values, using all the calendars in the CF metadata standard. convenience functions for converting arrays of characters to arrays of strings, and vice-versa. can use numpy dtype objects to specify netCDF variable datatype. [Less]

58.1K lines of code

0 current contributors

over 3 years since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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