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Thomas Loridan

@tloridan

Tropical Cyclone and #hurricane Risk, Extreme Weather, #MachineLearning, Boundary Layer Meteorology, Reask Co-founder

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15.11.2024
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Latest posts by Thomas Loridan @tloridan

Whenever she is ready!

30.01.2025 20:13 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

If she likes coloring maps we may have some work for her - that’s basically half our job !

30.01.2025 20:06 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Multi tasking and excelling at both tasks!

30.01.2025 19:46 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Thank you so much for your review Nadia! Glad it (kind of) inspired your daughter too…

30.01.2025 19:44 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
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Weather and climate office hours: 01/13/2025 topic: Coverage of SoCal wildfires & new wind event - YouTube The latest in a recurring series of live, virtual, & interactive "office hours" hosted by Dr. Daniel Swain on various topics related to extreme weather and c...

My next livestream will be 7pm PT this evening. My continuing focus will be the SoCal #wildfire disasters, as well as the new "extremely critical risk" event tonight into tomorrow plus the long-term outlook. #CAwx #CAfire #PalisadesFire #EatonFIre youtube.com/live/QeI...

13.01.2025 19:42 πŸ‘ 90 πŸ” 32 πŸ’¬ 2 πŸ“Œ 2

About the figure:

- We split the coast in 6 broad regions

- For each we extract the most intense event observed in the 1950-2023 period

- We run the same period 2500 times with the Reask model

- We count how many of the simulations of the period experience events of that magnitude once, twice…

14.12.2024 20:58 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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@nicobruneau.bsky.social and I have been scratching our heads with #hurricane Andrew for a while now, and whichever way we look at it, it always seems like a very unlucky occurence. Curious to hear what the industry thinks about likely return period ?

14.12.2024 20:50 πŸ‘ 4 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0
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It's always fascinating to see how sparse our historical records of Major #Hurricane US landfalls are !

This is why we need stochastic event sets to fill these gaps, and get a better picture of the risk ( #NaturalDisaster #climaterisk ).

11.12.2024 14:09 πŸ‘ 6 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0

Conditioning #hurricane parameter distributions to climate state is super important… otherwise we get stuck with backward looking static views of risk

06.12.2024 10:35 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Excited to see Nico posting his analysis on here, he consistently produces awesome #hurricane risk graphics:

03.12.2024 19:03 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Reask UTC: a machine learning modeling framework to generate climate connected tropical cyclone event sets globally Abstract. In the early 1990s, the insurance industry pioneered the use of risk models to extrapolate Tropical Cyclone (TC) occurrence and severity metrics beyond historical records. These probabilisti...

link to Reask TC modeling methodology (in review): egusphere.copernicus.org/preprints/20...

25.11.2024 12:00 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Thomas Loridan on LinkedIn: #hurricaneseason2024 #hurricane #syntheticevents #machinelearning… Current and near-term projections of Atlantic climate conditions are optimal for a very active #hurricaneSeason2024 🀝 Pretty much every group issuing…

link to pre-season projections: www.linkedin.com/posts/thomas...

25.11.2024 11:59 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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Hurricane seasonal risk projection – before and after:

Back in May, our team used Reask #TropicalCyclone model (see links in comments) to highlight projected regions of increased seasonal #hurricanerisk .

6 months later, we can overlay observed activity on top of the our pre-season "heat maps":

25.11.2024 11:59 πŸ‘ 2 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0
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I think you can also add designer to your bio, such a good looking map:

25.11.2024 09:58 πŸ‘ 2 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Superb work coming out of the Reask drought team - well done @marieshaylor.bsky.social

25.11.2024 09:50 πŸ‘ 4 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0