This is a python library for diagnosing El Nino-Southern Oscillation (ENSO) events and analysing their characteristics.

Here are a few of the functions of this library:

• Identify ENSO events using an SST anomaly index
• Composite a physical variable for an El Nino or a La Nina event
• Compute the ENSO asymmetries in terms of amplitude, duration and transition preferences (Choi et al. 2013)
• Simulate ENSO SST anomalies under a conceptual framework with or without nonlinear air-sea coupling (Choi et al. 2013)
• Diagnostics for the maximum zonal wind response to ENSO taking into account varying spatial structures
• Statistical analysis for the spatial structure of ITCZ and SPCZ rainbands

GeoDAT is a python library that provides utilities for handling, analysing and visualising geophysical climate data. Here are just a few of the functions of GeoDAT:

• Extract data from and write to NetCDF files
• Associate variables with dimensions
• Maintain the consistency between the variable data and the dimension axes
• Handle time and calendar
• Handle convergence of meridians on a latitude-longitude grid
• Frequently used functions such as time average, climatology etc.

and more.