Python library to compute and analyze paleo-insolations.
Written in Python2.7
Depends on Python libraries:
- standard python libraries (math,...)
- numpy, scipy
- numba (to accelerate loops through large arrays)
This project is meant to be a simple-to-use Python library with functions that can compute daily, monthly or annual average insolation values for any latitude on Earth at any point in time within the range of -50 Myrs to + 20 Myrs (available through the Laskar2004 orbital parameters dataset: http://www.imcce.fr/Equipes/ASD/insola/earth/earth.html).
It would be nice to have a few methods of computing the same insolation values to test the method-dependence of output insolations. Right now, the only method available is based on Laskar2004's fortran program: http://www.imcce.fr/Equipes/ASD/insola/earth/La2004/index.html
Another addition would be functions for the statistical analysis of insolation output. I'm thinking moslty of like power spectrum time series of insolation as a function of latitude.But, the main objective of the library is to easily produce useful insolation values from latitude and time (or orbital parameters directly). The analyzing and plotting can be done outside this library.
Finally, it would be ideal to have an ipython-notebook that goes though all the calculations in detail.