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Project description
"pyOptimalEstimation" Package
Python package to solve an inverse problem using Optimal Estimation and an arbitrary Forward model following Rodgers, 2000.
Tested with Python >=3.6. The last version supporting Python 2.7 was 1.1
Installation
Change to the folder containing the project and do
python setup.py install
in the terminal. If you do not have root privileges, you can also do:
python setup.py --user install
which will install pyOptimalEstimation in userbase/lib/pythonX.Y/site-packages
or
python setup.py install --home=~
which will install pyOptimalEstimation in ~/lib/python
.
Reference
Please reference to our paper if you use the pyOptimalEstimation package
Maahn, M., D. D. Turner, U. Löhnert, D. J. Posselt, K. Ebell, G. G. Mace, and J. M. Comstock, 2020: Optimal Estimation Retrievals and Their Uncertainties: What Every Atmospheric Scientist Should Know. Bull. Amer. Meteor. Soc., doi:https://doi.org/10.1175/BAMS-D-19-0027.1
Examples
- A minimal working example can be found at https://github.com/maahn/pyOptimalEstimation/blob/master/pyOptimalEstimation/examples/dsd_radar.py
- Two fullly annotated examples (microwave temperature/humidity retrieval & radar drops size distribution retrieval) are available at https://github.com/maahn/pyOptimalEstimation_examples. They can be run online using binder.
- A retrieval for retrieving surface winds from satellites using RTTOV is available at https://github.com/deweatherman/RadEst
API documentation
See https://pyoptimalestimation.readthedocs.io/en/latest/ for documentation.
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