June brings the start of the Atlantic hurricane season, and in this episode of the ESG Insider podcast we explore why 2024 is expected to be extremely active — "possibly historically" active, says today’s guest, Tim Hall.  Tim is a Senior Climate Scientist at S&P Global Sustainable1, where his team has developed a hurricane forecasting model that projects over 14 hurricanes and eight major hurricanes this season. In the episode, Tim explains his near-term forecast and how climate change is leading to more intense storms over the longer term. As we hear in the episode, this has big implications for many stakeholders, from homeowners and insurers to financial institutions and central banks, which are increasingly turning to climate modeling and climate stress test testing to understand future risks.   Tim also outlines how science and technology are fast evolving to help stakeholders make better-informed decisions to adapt and prepare for climate change.     “It's a very interesting time of rapid change in the field — both in the technology and what we can forecast and in what detail, and also the sophistication and expectations of the stakeholders," Tim says.   Learn more about S&P Global’s data and solutions on physical climate risks here: https://www.spglobal.com/esg/solutions/physical-climate-risk   This piece was published by S&P Global Sustainable1, a part of S&P Global.     Copyright ©2024 by S&P Global    DISCLAIMER    By accessing this Podcast, I acknowledge that S&P GLOBAL makes no warranty, guarantee, or representation as to the accuracy or sufficiency of the information featured in this Podcast. The information, opinions, and recommendations presented in this Podcast are for general information only and any reliance on the information provided in this Podcast is done at your own risk. This Podcast should not be considered professional advice. Unless specifically stated otherwise, S&P GLOBAL does not endorse, approve, recommend, or certify any information, product, process, service, or organization presented or mentioned in this Podcast, and information from this Podcast should not be referenced in any way to imply such approval or endorsement. The third party materials or content of any third party site referenced in this Podcast do not necessarily reflect the opinions, standards or policies of S&P GLOBAL. S&P GLOBAL assumes no responsibility or liability for the accuracy or completeness of the content contained in third party materials or on third party sites referenced in this Podcast or the compliance with applicable laws of such materials and/or links referenced herein. Moreover, S&P GLOBAL makes no warranty that this Podcast, or the server that makes it available, is free of viruses, worms, or other elements or codes that manifest contaminating or destructive properties.    S&P GLOBAL EXPRESSLY DISCLAIMS ANY AND ALL LIABILITY OR RESPONSIBILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL OR OTHER DAMAGES ARISING OUT OF ANY INDIVIDUAL'S USE OF, REFERENCE TO, RELIANCE ON, OR INABILITY TO USE, THIS PODCAST OR THE INFORMATION PRESENTED IN THIS PODCAST.