A Python package of end-to-end weather data clients & raw data clients with VPN/PROXY support, data processors that decode variable keys from GRIB format into a plain-language format & various tools for assisting Python automated workflows, querying meteorological datasets and filling gaps in meteorological data.
copied from cf-post-staging / wxdataWxData is a Python package geared to help atmospheric scientists set up automated workflows that download, pre-process and post-process various types of weather data (observational and forecast).
There are two classes of clients: End-To-End and Raw. End-To-End clients download, pre-process and post process data specific to a type of dataset (i.e. gfs0p25() for GFS (0.25x0.25) Data). Raw clients assist users in downloading different types of data (i.e. getgriddeddata(), getcsvdata(), getexceldata(), getawsopendata() and getxmacis_data()). These clients have built-in support for users working on VPN/PROXY connections. Users will need to define their own PROXY settings and pass those settings into the client so the client knows the path from the HOST to the Data Server.
WxData has post-processing modules for every type of dataset that has an end-to-end client. Users may also import these post-processing modules if they wish to use their own downloading procedures.
WxData has tools to assist users with pixel and line querying for gridded datasets.
WxData has tools to assist users with:
1) Shifting longitude in gridded datasets from a 0 to 360 into a -180 to 180 projection. 2) Adding cyclic points to resolve data gaps along the 180 or 0 degree meridian in gridded datasets. 3) Linearly interpolating between two data points.
WxData has a tool users can use to execute a series of Python scripts in the order the user lists them in.
