Pete Pokrandt

@pth1.bsky.social

Today is the 50th anniversary of the Big Thompson flood of July 31, 1976: one of the deadliest disasters in Colorado history. An intense rainstorm led to a rapid flood wave down the canyon where many people were commemorating Colorado's centennial. 144 people lost their lives. #cowx 1/

Photo of a house sitting atop a bridge after having been washed downstream by the Big Thompson flood. Source: https://www.usgs.gov/media/images/big-thompson-canyon-flood-colorado-1976

June 2023 pales in comparison to this event. There were ~3 total monitors back then that recorded a 24-hr AQI in the Hazardous category (all in PA). Yesterday there were dozens affecting tens of millions of people

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Scientists--if your funding was cut over the last year (for research on climate, global health, DEI, LGBTQ or womens health, etc) but you managed to keep the research going, I want to talk to you for an upcoming article! Plz contact me: gewin at me dot com. Re-posts appreciated!

It’s important to take a beat & say it out loud. This is the president of the United States. How undignified. How diminishing of our country. You wouldn’t let your kids talk like this, so why are you willing to tolerate it from the leader of your country?

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So this covers individual radars, and @stormscale.io 's Heimdall Radar site covers MRMS. Both easy to use, free, and fast! No having to launch a script, no visits to multiple sites or opening multiple programs. Just awesome tools!

Rob Carver@wundersooner.com · 3mo ago

I'm happy to announce the launch of malpais.app, a free NEXRAD/TDWR radar viewer that lives in your browser. malpais downloads Level 2 or Level 3 data from NOAA's Open Data Dissemination archives and renders it in WebGL on your desktop or mobile device. For free.

MetPy Mondays is back! John Leeman from NSF Unidata introduces what’s new in MetPy and previews a new 15-part MetPy Mondays series focused on practical meteorological data analysis, remote data access, and case study plotting. buff.ly/BQitB7I

MetPy Mondays #329 - What's New in MetPy? | NSF Unidata

This MetPy Monday episode introduces a new series focused on the latest features in MetPy and practical workflows for meteorological data analysis in Python. John highlights improvements to core…

unidata.ucar.edu

I'd like to introduce you all to a personal project I've been working on recently. It's called Heimdall, and it's an MRMS + ProbSevere situational awareness monitor for CONUS scale severe weather. It's got roaming, alerts, archive mode, and is fully client side. heimdall.stormscale.io

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I’m very excited to announce the latest release of SHARPlib, v1.4.0. This might be one of the coolest updates yet (in my opinion) and results in dramatic performance improvements through the use of pseudoadiabatic lookup tables. Available on PyPI/conda-forge. github.com/keltonhalber...

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I miss the band Dopapod.. they were solid. They come up every so often in my playlists and it makes me smile. Saw ‘em a few times at intimate venues in Madison

The current heatwave in the US Southwest is utterly destroying many records for this time of year. Phoenix, Arizona has ~90 years of daily temperature data, and yet recent temperatures beat the previous March record by 5 °F (2.8 °C), and would actually tie the record for April.

Plot wrapping daily maximum temperature history for Phoenix, Arizona for every year since 1933, and showing the anomalously high temperatures in 2026.