Junaid Seria

Cat Risk Management 💡 for practitioners developing re/insurance products, building and validating cat models.

[Junaid Seria @S2NatCat]

@TropicalTidbits Hi Levi, will you be releasing a video on Otis' RI? (always enjoy your videos!)

[National Hurricane Center @NHC_Atlantic]

Here are the 5 am EDT Sunday Key Messages for Tropical Storm #Ian. Follow the latest at https://t.co/tW4KeGdBFb

[Junaid Seria @S2NatCat]

@catinsight Nice! Curious how change in mean and top quartile / decile track lengths in 5 yr bins over time compares with variability | ENSO phase.

[Junaid Seria @S2NatCat]

@AndrewSiffert I also favour this approach. How did said model compare at 1:20? Eyeballing this graph, I see ~6 events in 120 years xs ~60bn.

[Junaid Seria @S2NatCat]

@SteveBowenWx Like the 5yr view. Considered how 17-21 period ranks against all prior distinct 5yr periods in HURDAT2 ito CONUS HU landfalls/close bypasses?

[Junaid Seria @S2NatCat]

Fellow catastrophe risk management practitioners, keen to hear your thoughts on our recent work to quantify the potential near-term impacts of climate change on re/insured portfolios. https://t.co/Uf76Jnfldy

[Junaid Seria @S2NatCat]

@grantshapps Can we please remove South Africa from the red list? https://t.co/kQdZI5msk9

[Junaid Seria @S2NatCat]

“[Hu]man’s best friend” https://t.co/Q9m07snnm9

[SCOR @SCOR_SE]

#ResilientTogether | With a strong focus on the next 5-10 years, we are assessing the impact of climate change on SCOR and on its clients’ business through a deep study, as Paul Nunn and Maurizio Savina explain https://t.co/iR1biGVRSd

[Philip Klotzbach @philklotzbach]

All three seasons with warmer sea surface temperatures than 2020 to date were very active Atlantic #hurricane seasons. Both 2005 and 2017 were extremely destructive seasons as well, while 2010 spared the continental US, with 0 of the 12 hurricanes in the basin hitting the CONUS.

[Elon Musk @elonmusk]

Tesla Supercharger usage by region

[Constance Crozier @clcrozier]

I spent a humiliating amount of time learning how to make animated graphs, just to illustrate a fairly obvious point.

“Forecasting s-curves is hard”

My views on why carefully following daily figures is unlikely to provide insight.

https://t.co/yrE71bUXVT

[Robin Wigglesworth @RobinWigg]

BNP Paribas has modelled what the Vix index might have looked like going back a century.

[MIT Technology Review @techreview]

Watch our visualization to see how confirmed coronavirus cases in the US, Italy, and Spain have exploded in recent weeks. https://t.co/jtXuiAIF6u

[Channel 4 Dispatches @C4Dispatches]

“If you are irresponsible enough to think that you don’t mind if you get the flu, remember it’s not about you - it’s about everybody else.”

Intensive care specialist Professor Hugh Montgomery explains why this coronavirus is different from the ordinary flu.

[John Burn-Murdoch @jburnmurdoch]

NEW on coronavirus: many western countries may soon face Italy’s situation

Case numbers since outbreaks began in several countries have tracked a ~33% daily rise. This is as true for UK, France, Germany as Italy; the latter is simply further down the path https://t.co/VcSZISFxzF

[Dr. Robert Rohde @RARohde]

According to the official statistics, the coronavirus epidemic in China has been leveling off with more than half of patients already recovered.

Only 119 new cases were reported yesterday, all but 5 of which were in Wuhan.

[Dr. Robert Rohde @RARohde]

Animated history of Australia's national average temperature and precipitation.

The hot & dry weather in recent years is a major factor in making the current wildfires so severe. #AustraliaFires

[Glen Peters @Peters_Glen]

Are #CMIP6 climate models running hot?
* Most models are not running hot
* Many hot models poorly reproduce past temperatures
* Not all model results are available

It is premature to conclude that climate sensitivity is higher than thought!

@hausfath https://t.co/fiMsWeY576

[Glen Peters @Peters_Glen]

Focus on what you eat, not whether your food is local

GHG impacts of food

Biggest:
1. On farm (mainly methane)
2. Land-use change

Smaller:
3. Animal feed
4. Processing
5. Transport
6. Retail
7. Packaging

Less red meat, biggest impact!

@_HannahRitchie
https://t.co/TlmOTIC09X