Initial Github release.
Examples
* Updates to the example Jupyter notebooks.
2016-11
CSU_Blended_Rain_Tropical
* Added the dBZ + Kdp threshold back in to eliminate small reflectivities
with non-zero Kdp blowing up the rain rates.
2016-07-28
CSU_DSD
* Changed import location for _check_for_array
CSU_Blended_Rain
* Moved base rainfall functions to common, and also now import
_check_for_array from common.
2016-05-10
Common
* Moved functions from csu_blended_rain here.
CSU_Blended_Rain
* Added ability for user to provide custom parameters to
polarimetric rainfall equations via the blended rainfall
routines. Also customized blended routines to handle
non-S bands. In this case, only R-Z and R-Kdp are used.
2016-05-03
Beta_Functions
* Python 3 compatible.
CSU_KDP
* Cython now an option for speeding up KDP routines.
Calc_KDP_Ray_Fir
* Updated for Cython. Confirmed ~50 times faster than 1-deg np.polyfit().
CSU_FHC
* Cython now an option for speeding up the hid_beta routines.
2015-12-08
CSU_KDP
* Made number of gates used for standard deviation calculation adjustable.
2015-11-20
CSU_KDP
* Now using a Fortran shared object (calc_kdp_ray_fir) to
do the ray-based KDP calculations. This has vastly sped up
the overall KDP processing (> 100x). f2py FTW!
* Updated calc_kdp_bringi to fail softly when (window/gs) is not even.
CSU_FHC
* Sped up hid_beta by using f2py + working w/ 1-D flattened arrays
that are later reshaped to the necessary shape.
CSU_Liquid_Ice_Mass
* Performance improvements.
2015-09-16
CSU_Blended_Rain
* Fixed logical inconsistencies leading to lack of
rainfall calculation in HID = rain + low Z + high Kdp/Zdr.
2015-09-04
CSU_KDP
* Added window keyword to enable stretching the FIR window (e.g.,
use a 21-pt filter over 5 km with 250-m gate spacing).
* Forcing FIR order to be even, _calc_kdp_ray will crash otherwise.
CSU_Misc
* Vastly sped up despeckle routine using scipy.
2015-08-05
CSU_KDP
* Made Python 3 compatible.
* Fixed issue with non-integer array indices.
CSU_FHC
* Python 3.
CSU_Blended_Rain
* Python 3.
CSU_Liquid_Ice_Mass
* Python 3 compliant.
CSU_Misc
* Made Python 3 compatible.
* Made pep8 compatible.
2015-07-10
CSU_KDP
* Made sub-module pep8 compliant.
* Added despeckle() along with a private helper function.
* Added warnings.warn import.
2015-05-08
CSU_Misc
* Added despeckle() along with a private helper function.
* Added warnings.warn import.
2015-04-27
CSU_KDP
* Made algorithm work with a user-defined gate spacing (via gs keyword).
Untested on gate spacings that do not divide evenly into the 3-km window
used for filtering the PHIDP data, however. But common gate spacings
like 50, 100, 150, 200, 250, and 300 meters should all work fine.
* Made the algorithm capable of receiving 2D array inputs (i.e., azimuth &
range) as well as 1D inputs (range only). If 2D, rng needs to be 2D as
well. However, thsd should remain a scalar, or 1D and only vary by range.
Legacy changelog for Beta_Functions:
25 January 2015
* Pythonized
10 June 2012
* Adjusted MBFs for performance.
08 February 2012
* Changed the categories and the MBF values based on scattering simulations.
NOTE: LDR values from simulations were added.
29 January 2009
* Changed the MBFS to the theory-based S-band values.
NOTE: LDR VALUES WERE NOT MODIFIED.
19 February 2003
* Changed MBFs for wet/dry graupel and Wet Snow to
conform to Liu and Chandrasekar (2000).
* Changed MBF for vertical ice to
conform to Carey and Rutledge (1998).
15 May 2002
* Changed KDP MBF for vertical ice to be unity from -0.2 to -0.6.
Used to be from -0.6 to 0.0. This didn't make much difference.
28 April 2002
* Changed the fuzzy sets to include vertical ice
and get rid of low/high density snow.