Change Log
Version 2.4.0
Release Date: 2021-11-11 00:00
SAFNWC product reading module added
Parse grid data to RGB format for Web displaying platform added
Various example added
Performance improvement
Version 2.3.0
Release Date: 2020-12-22
A new version of h8 data parser(swirlspy.sat.h8_v2) added
A function to read TMD radar data (swirlspy.rad.read_netcdf_th_precip, swirlspy.rad.read_netcdf_th_refl) added
FSS and Physical loss functions to train up deep learning precipitation nowcast model added
Various example added
Various bug fixes
Version 2.2.0
Release Date: 2020-06-02
A module of use deep learning technique to tackle precipitation nowcasting (swirlspy.qpf.dl) added
A function to resample data into specific coordinate values (swirlspy.preprocess.grid_align) added
Various example added
Various bug fixes
Version 2.1.0
Release Date: 2020-02-18
A module to process prediction and nowcast result blending (RaINS) (swirlspy.blending.nwp_bias_correction) added
A module to GPU version of sla (swirlspy.qpf.sla) added
Various example added
Various bug fixes
Version 2.0.9
Release Date: 2019-12-13
A module to process Vertically Integrated Ice (VII) (swirlspy.rad.calc_vii) added
A module to process Vertically Integrated Liquid (swirlspy.rad.calc_vil) added
A module to process Indonesia netCDF file (swirlspy.rad.netcdf_id.read_netcdf_id) added
A module to process Himawari-8 data file (swirlspy.sat.h8.read_h8_data) added
A new module to investigates observation lies within circular region added
A new module to blend different source of data added
Procedure to approve new users enhanced
Various bug fixes
Version 2.0.8
Release Date: 2019-09-26
A QPF motion field method “Constant” from pySTEPS added
A QPF motion field method “DARTS” from pySTEPS added
A QPF motion field method “Dense Lucas Kanade” from pySTEPS added
A QPF motion field method “VET” from pySTEPS added
A QPF forecast method “Extrapolation” from pySTEPS added
A QPF forecast method “SPROG” from pySTEPS added
A QPF forecast method “SSEPS” from pySTEPS added
A QPF forecast method “STEPS” from pySTEPS added
A method to convert a given xarray to rainfall depth added
A method to convert a given xarray to rainfall rate added
A method to convert a given xarray to radar reflectivity added
A method to accumulate rainfall amount added
A method for temporal interpolation added
A new example “SPROG (HK)” added
A new example “STEPS (HK)” added
A new example on probabilistic verification added
Procedure to approve new users enhanced
Various editorial changes to the documentation
Various bug fixes
Version 2.0.7
Release Date: 2019-07-09
A module on lightning density map added
For IRIS Raw data file, a feature to extract data in 3-dimension addded
Examples adopted subplots to improve readability
Version 2.0.6
Release Date: 2019-05-17
The QPE module revamped, now supports fast compositing of rain gauge and radar QPE by averaging with weights corresponding to the Truthness of the respective sensors
The example QPE in Hong Kong revamped to make use of the new QPE Module
An example on QPE in Manila added. Thanks @Perez for the contribution!
An example on QPF in Manila added. Thanks @Perez again for the contribution!
A new module on Lightning Nowcast added
A new example on Lightning Nowcast added
Version 2.0.5
Release Date: 2019-04-12
An example on PQPF added
The example on QPF rewritten to better illustrate usage
A new class Rain introduced to process Rain Gauge observation data
A module to process IRIS radar product file (swirlspy.rad.irisref) added
A module to compute Fraction Skill Score (FSS) added
A new module to resample gridded data added
QPE rfmap module rewritten to harmonise with the QPF data model
A new page namely Publications added
A new page namely Awards added
Hong Kong ICT Awards 2019 added to the Awards web page
Version 2.0.4
Release Date: 2019-03-05
All rad modules (except CINRAD) amended to return fully labelled xarrays
Original ROVER separated into ROVER (Image Highlight + VarFlow) and SLA (Semi-Lagrangian Advection)
QPE Utils with methods like dbz2rr, rr2rf etc. added
An Example on Radar QPE added
Getting Started amended to give clearer instructions to potential and new users
Bugs fixed
Documentations updated
Better PEP8 compliance
Sample data restructured
Version 2.0.3
Release Date: 2019-02-01
Bugs fixed
Documentations updated
Module QPF/ROVER added, which was updated to work with OpenCV3
Philosophy added to Contributors’ Guide
Examples on QPF/ROVER and Verification modules added
Version 2.0.2
Release Date: 2019-01-22
Bug fixes
Editorial amendments to documentations
Made testing no longer necessary on docker image
Added simple verification module
Added pages
Data Model and xarray
Z-R Relationship
Most Active Developers
Version 2.0.1
Release Date: 2019-01-09
Bug fixes
Editorial amendments to documentations
Added page Examples
Version 2.0.0
Release Date: 2018-12-19
First publicly released version.