Eric Bruning @deeplycloudy

Pythonic electrical meteorologist, electro-microphysical temporal cartographer. Lubbock, TX Joined October 2008

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Eric Bruning @deeplycloudy

2 years ago

@cschultzwx @mifarmgirl It’s because of a conference call that got moved into that lunch slot … but not being in the heat is a nice side benefit!

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Kelcy Brunner @kelcybrunner

2 years ago

All! Our session at @theAGU (@tjlang , Sarah Stough, and Sarah Bang): Advancements in Lightning Meteorology is live and accepting abstracts!

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Eric Bruning @deeplycloudy

2 years ago

@samgardner_4 @wtlma There was an exceptionally well-separated episode of overshooting top lightning at some point, too - up near 18-19 km.

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@JosephPattonWx A starter training module here: elearning.unidata.ucar.edu/mod/scorm/play… And a nice one on using xarray with ERA5 atmos.albany.edu/facstaff/ktyle… You can also poke around on a server and manually download, but I suspect you want something scriptable.

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Eric Bruning @deeplycloudy

3 years ago

@frq_ltg @Djpuco @ztresearch And then you can use your meteorological imagination to work backward to the hydrometeor fluxes (history of riming in the mixed phase) that might lead to such structures. In that way, the spatial extent of lightning is also a clue to those fluxes.

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Eric Bruning @deeplycloudy

3 years ago

The ATMO and psych positions are still open for another few weeks, so you’re not too late if you’re just seeing this!

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Eric Bruning @deeplycloudy

3 years ago

@DrAaronHill @keenanisalive @AdrianZidaritz @frq_ltg No small part of why I got hooked on LMA data. Looks identical.

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Eric Bruning @deeplycloudy

3 years ago

@WeatherArchive @Cyclogenesis_au Any details yet on how you’re doing the lightning measurement? I know Sam and Tim (would @, oh this app’s behavior) had played with a low cost approach, perhaps it’s similar.

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Eric Bruning @deeplycloudy

3 years ago

@JosephPattonWx @stormchaserIL @goesglm @nesecond Yeah that sounds right. Maybe also some needles on some of the less bright channels in the background? Not sure how those compare to recent interferometry where they’re being observed and discussed lately. Great shot!

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Eric Bruning @deeplycloudy

3 years ago

@70_dbz @MJensenCloudSci @dbmechem @Large_Eddy One letter is enough, and from whomever can convey the most depth and nuance.

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Eric Bruning @deeplycloudy

3 years ago

@UpstateChaser @wxkaitlynj @JimTeskeNC9 Yep, upward! The one on the left might be downward, in which case it would have caused the field change that triggered the upward ones (LTUL per @ztresearch)

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Eric Bruning @deeplycloudy

3 years ago

@kc5knd @goesglm @cschultzwx Following up on this, that date is now on neo-bolide.ndc.nasa.gov but did not have a match.

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Eric Bruning @deeplycloudy

3 years ago

@mifarmgirl Haha, that’s so on the nose.

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Riley Goodside @goodside

3 years ago

this is wild — kNN using a gzip-based distance metric outperforms BERT and other neural methods for OOD sentence classification intuition: 2 texts similar if cat-ing one to the other barely increases gzip size no training, no tuning, no params — this is the entire algorithm:

Luke Gessler @LukeGessler

3 years ago

this paper's nuts. for sentence classification on out-of-domain datasets, all neural (Transformer or not) approaches lose to good old kNN on representations generated by.... gzip aclanthology.org/2023.findings-…

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Eric Bruning @deeplycloudy

3 years ago

@tjlang Oh, interesting. Inverted, or bottom heavy tripole?

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EUMETSAT @eumetsat

3 years ago

Even more animations can be found here: bit.ly/EuropesfirstLI

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EUMETSAT @eumetsat

3 years ago

Here are the extraordinary 1st results from #MTGI1's Lightning Imager!⚡️ We can now for the first time detect lightning over Europe & Africa👏 Watch here: youtu.be/wjNq-xMWE28 Please note: These animations were created from raw preliminary data and are not for operational use.

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UW-Madison CIMSS @UWCIMSS

3 years ago

The 1-minute Infrared images with an overlay of #GLM Flash Extent Density showed abundant lightning activity associated with this Mesoscale Convective System: cimss.ssec.wisc.edu/satellite-blog… #IAwx #MOwx #ILwx

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Eric Bruning @deeplycloudy

3 years ago

@RodneyDMoore5 @SarahFromTTUPM That’s really useful! I think that’s what I’m after: clearly something is known about those tradeoffs, and without pinpointing a precise budget we can ask if the city is ready to take on those install and maintenance models (and their cost models).