Welcome to SwirlsPy’s documentation!

SWIRLS (Short-range Warning of Intense Rainstorms in Localized Systems) is the operational rainstorm nowcasting system of Hong Kong Observatory (HKO). State-of-the-art techniques are implemented in SWIRLS for analysis and prediction of precipitation and convective weather phenomena in the next few hours. SWIRLS has been in operation in HKO since 1999. SWIRLS was also implemented in various meteorological services or participated in international forecasting projects to support the research and development of rainstorm nowcasting techniques.

The community version of SWIRLS, or com-SWIRLS, is developed to facilitate knowledge exchange and cooperation on development of rainfall nowcasting technique. Com-SWIRLS can be available from this website for use by the National Meteorological and Hydrological Services (NHMSs) upon request. To request or for any enquiry, please send an e-mail to swirls@hko.gov.hk

• Sign In or Register
• RSMC for Nowcasting
• SWIRLS Nowcast System
• Awards
  • HKO awarded at 19th APICTA Awards (26 November 2019)
  • Hong Kong Observatory awarded in Hong Kong ICT Awards 2019 (8 April 2019)
  • DSD, HKO and the project team winning ACEHK Annual Award (11 December 2017)
• Getting Started
  • Registration
  • Installation
  • Contact
• Examples
• Reference Manual
  • SwirlsPy
  • Subpackages
    • swirlspy.blending package
      • Blending data / nowcast.
    • swirlspy.core package
      • Submodules
      • swirlspy.core.resample module
    • swirlspy.ltg package
      • Submodules
      • swirlspy.ltg.map module
    • swirlspy.object package
      • Object identification methods.
    • swirlspy.obs package
      • Weather observations decoder.
      • Submodules
      • swirlspy.obs.lightning module
      • swirlspy.obs.rain module
    • swirlspy.preprocess package
      • Data preprocessing.
    • swirlspy.qpe package
      • Submodules
      • swirlspy.qpe.cal_zr module
      • swirlspy.qpe.rfmap module
      • swirlspy.qpe.utils module
    • swirlspy.qpf package
      • Quantitative precipitation forecast methods.
      • Subpackages
      • Submodules
      • swirlspy.qpf.persistence module
      • swirlspy.qpf.rover module
      • swirlspy.qpf.sla module
    • swirlspy.rad package
      • Radar data loader and methods.
      • Submodules
      • swirlspy.rad.ascii module
      • swirlspy.rad.cinrad module
      • swirlspy.rad.hdf5 module
      • swirlspy.rad.iris module
      • swirlspy.rad.netcdf_id module
      • swirlspy.rad.netcdf_ph module
      • swirlspy.rad.netcdf_vn_dh module
      • swirlspy.rad.netcdf_vn_don module
      • swirlspy.rad.uf_ph module
    • swirlspy.sat package
      • Satellite data loader.
      • Subpackages
    • swirlspy.utils package
      • Utilities
      • Subpackages
    • swirlspy.ver package
      • Submodules
      • swirlspy.ver.crosstab module
      • swirlspy.ver.metric module
• Publications
• Data Model and xarray
• Contributors’ Guide
  • Versioning
  • Coding Style
  • Philosophy
  • Workflow
    • (Optional) Install Virtual Machine
    • First time Setup
    • For Each Development Cycle
  • System Development Life Cycle Iterative Model
  • Advanced Instructions
    • Manually Build a SwirlsPy Conda package
    • Launching a new release
• Z-R Relationship
• Educational Resources
  • Project Management
  • reStructured Text (rst) and Markdown
  • Git & GitLab
  • Linux
  • Python
• Acknowledgement
• Most Active Developers
• Change Log
  • Version 2.4.0
  • Version 2.3.0
  • Version 2.2.0
  • Version 2.1.0
  • Version 2.0.9
  • Version 2.0.8
  • Version 2.0.7
  • Version 2.0.6
  • Version 2.0.5
  • Version 2.0.4
  • Version 2.0.3
  • Version 2.0.2
  • Version 2.0.1
  • Version 2.0.0
• Terms and Conditions
  • Preamble
  • Registration
  • Agreements
  • Disclaimer
• Contact Us
• Acronyms

Indices and tables

• Index

• Module Index

• Search Page