Programmatic access to upper air P-T profile and dewpoint soundings

[gully]

One of the bottlenecks with TelFit---or any predictive telluric model--- is including the P-T profile of Earth's atmosphere and converting the dewpoint to H2O concentration. The TelFit docs have a guide for how to get this data based on forecasts. The one hiccup is that the NOAA website that hosts the data has a CAPTCHA, making it impossible to programmatically fetch the data. If coarse P-T profile data can be tolerated, one could use the raw data from weather balloons launched twice daily from several locations in Texas. These data are coarse insofar as they are infrequent in time and space. But for some applications they may be good enough.

Anyways, here are tutorials I found on how to get some of that data with a Python API: https://unidata.github.io/siphon/latest/examples/index.html#upper-air https://unidata.github.io/siphon/latest/examples/index.html#ncss https://unidata.github.io/MetPy/latest/tutorials/upperair_soundings.html#sphx-glr-tutorials-upperair-soundings-py

[gully]

here's another potentially useful resource: https://github.com/blaylockbk/HRRR_archive_download