Python Radiative Transfer Modelling Wrappers
Get spectral or integrated broadband irradiance outputs from SMARTS and SBdart conveniently, in python.
Prerequisites
Python 2.6 or 2.7.
SBdart 2.4 and SMARTS 2.9.5 must be compiled and installed on your system $PATH as sbdart and smarts295 respectively.
Numpy is required. Installing PyLab is recommended, and will include numpy.
Installation
The package is on PyPi, so assuming your python installation included setuptools, you can simply use pip (or easy_install).
$ pip install rtm
or with easy_install
$ easy_install rtm
Documentation
Check the Appropedia page: http://www.appropedia.org/PyRTM
There are also more detailed setup and installation instructions on the Appropidia page.
Metadata
Release files for RTM 0.2.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| RTM-0.2.6.tar.gz | 1.1 MB | Without provenance | Details |
Release files / RTM-0.2.6.tar.gz
| Download URL | RTM-0.2.6.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
59ff83b68282da2820bddd226c6d77d667f91726b61730ed5e485ad361fd3fce
|
|
BLAKE2b-256 checksum How to use checksums |
52c0abfaba402092547454b6117a0854f8b410931e184ba8688b6f9f4f3cfc9f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for RTM 0.2.6
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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