Thanks for the shout-out! Another take on this is that with hurricanes becoming stronger, on average, the building code benefits will only increase in time.
10.03.2026 03:08
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Thanks for the shout-out! Another take on this is that with hurricanes becoming stronger, on average, the building code benefits will only increase in time.
Thanks for the early glance map, but the numbers don't seem to match the colors.
Trapped by the floof!
Very much appreciated. I will use some of these for a talk I'm giving this week.
Thanks for pointing this out. I hadn't considered this before. Maybe the lysis points should persist in the ensemble mean track.
This resonates deeply.
Thanks for the update. But what are we looking at with this map? Pressure anomaly? What are the weird scratches?
Another excellent addition to our Focus Issue on Climate Change Informed Cat Modeling at Environmental Research Climate
iopscience.iop.org/collections/...
If scientific metrics & risk communications describing environmental hazards don’t resonate with people’s lived experiences, they’re less likely to be useful in helping inform & safeguard communities, write @climate-done.bsky.social & colleagues from @ncar-ucar.bsky.social
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I loved the ENSO blog for it's accessible writing style and graphics/analyses I couldn't find elsewhere. I regularly quoted the blog and shared its graphics to aid my science communications across the insurance industry (pertaining to hurricane risk).
"Meteorologists are unnecessarily cranky about missing out" - it's offical: journals.ametsoc.org/view/journal...
Thanks for the additional plot. Interesting how the distance between the mean and max curves (and therefore the daily variance) is greatest during the flash flood season. It's hot and dry until it's not.
Yes, I think you can see a hint of that in the daily max (green) curve in Russ's plot.
Very cool. Thanks. I agree it's remarkable how sharp the seasonal flood report peak is. It's much more peaked than the precipitable water curve. I wonder why would that be? Maybe the column flow is only slack enough for a shorter period than the PW is moist enough.
Similar destruction here in southwest longmont.
Hoose saw a Moose on the Loose
That Bavarian paper is one of my favorites (thanks to @manuelaibrunner.bsky.social and @weatherwest.bsky.social). I was just presenting a slide on it (again) today. This new work a very nice study. More evidence that we need to look beyond individual rainfall event magnitudes to understand flood.
Looks grim on the coast. What's the meteorological definition of murk?
Thanks Kelly! It was a fun one to work on. You make a good point that population increase kinda undoes the good work of the building code. I did a follow-up study to find that wind speed dominates loss, but wind duration and wind directional change can be impt: ascelibrary.org/doi/10.1061/...
As a workshop organizer I can attest that we deeply appreciated you being willing to sharing your expertise at a less-than-ideal time for you. Thank you! You gave us valuable info. I hope you still managed to get the 3 out the door!
Wow, 2023 really stands out. The 'I've no idea bit'.
❄️Days with extreme wind chill in Alaska are decreasing in frequency, especially at lower elevations, and with a reduced length of season.
@gabrielevillarini.bsky.social
👉Read more here: www.nature.com/articles/s43...
What an impressive portfolio of important work. Thanks for sharing and I hope you can continue it in other ways.
Very sad to hear this news.
Calling all climate impact researchers:
The deadline for our special issue on Climate Change Informed Catastrophe Modeling is Jan 31st - please consider submitting if you have relevant work. Open access with no publication charges!
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Looks great. Did I miss a link or citation? Thanks.
Indeed. A longer period of record (or credible climate model ensembles) would be needed to show increases in rarer floods in lowland catchments.
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