ClimaTwin®, Climate Risk Intelligence for Infrastructure Digital Twins™, is proud to be shortlisted as a Top 10 Climate Change Solution Provider 2023 by Environmental Business Review, a multi-disciplinary magazine for senior executives and engineering leaders across public and private sectors. ClimaTwin is a leading climate risk intelligence solution for infrastructure assets and the built environment. Further, ClimaTwin’s mission is to transform how public and private infrastructure stakeholders mitigate climate risks by leveraging climate models, digital twins, and computer science.
Environmental Business Review focuses on sustaining our planet by leveraging technologies and services, such as ClimaTwin and many others. Subscribers of Environmental Business Review include CSOs, Directors of Environmental Affairs, Climate Change Program Managers, Senior Sustainability Strategists, Environmental Policy Directors, and Renewable Energy Directors, for example. To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.
We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables engineers, owner-operators, and governments to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.
To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a registered trademark of ClimaTwin Corp. ClimaTwin Basic™, ClimaTwin Enterprise™, the ClimaTwin logo, and Climate Risk Intelligence for Infrastructure Digital Twins™ are trademarks of ClimaTwin Corp. All rights reserved.
ClimaTwin®, Climate Risk Intelligence for Infrastructure Digital Twins™, is proud to be shortlisted as a Top 10 Climate Change Solution Provider 2023 by Environmental Business Review, a multi-disciplinary magazine for senior executives and engineering leaders across public and private sectors. ClimaTwin is a leading climate risk intelligence solution for infrastructure assets and the built environment. Further, ClimaTwin’s mission is to transform how public and private infrastructure stakeholders mitigate climate risks by leveraging climate models, digital twins, and computer science.
Environmental Business Review focuses on sustaining our planet by leveraging technologies and services, such as ClimaTwin and many others. Subscribers of Environmental Business Review include CSOs, Directors of Environmental Affairs, Climate Change Program Managers, Senior Sustainability Strategists, Environmental Policy Directors, and Renewable Energy Directors, for example. To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.
We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables engineers, owner-operators, and governments to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.
To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a registered trademark of ClimaTwin Corp. ClimaTwin Basic™, ClimaTwin Enterprise™, the ClimaTwin logo, and Climate Risk Intelligence for Infrastructure Digital Twins™ are trademarks of ClimaTwin Corp. All rights reserved.
“As the climate has warmed over recent years, a new pattern of more frequent and more intense weather events has unfolded across the globe. Climate models simulate such changes in extreme events, and some of the reasons for the changes are well understood. Warming increases the likelihood of extremely hot days and nights, favors increased atmospheric moisture that may result in more frequent heavy rainfall and snowfall and leads to evaporation that can exacerbate droughts.
Even with evidence of these broad trends, scientists cautioned in the past that individual weather events couldn’t be attributed to climate change. Now, with advances in understanding the climate science behind extreme events and the science of extreme event attribution, such blanket statements may not be accurate. The relatively young science of extreme event attribution seeks to tease out the influence of human-caused climate change from other factors, such as natural sources of variability like El Niño, as contributors to individual extreme events.
Event attribution can answer questions about how much climate change influenced the probability or intensity of a specific type of weather event. As event attribution capabilities improve, they could help inform choices about assessing and managing risk, and in guiding climate adaptation strategies. This report examines the current state of the science of extreme weather attribution and identifies ways to move the science forward to improve attribution capabilities.”
This study was supported by the David and Lucile Packard Foundation under contract number 2015-63077, the Heising-Simons Foundation under contract number 2015-095, the Litterman Family Foundation, the National Aeronautics and Space Administration under contract number NNX15AW55G, the National Oceanic and Atmospheric Administration under contract number EE-133E-15-SE-1748, and the U.S. Department of Energy under contract number DE-SC0014256, with additional support from the National Academy of Sciences’ Arthur L. Day Fund. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
International Standard Book Number-13: 978-0-309-38094-2
International Standard Book Number-10: 0-309-38094-4
Library of Congress Control Number: 2016946880
Digital Object Identifier: 10.17226/21852
(Source: National Academies of Sciences, Engineering, and Medicine. 2016. Attribution of Extreme Weather Events in the Context of Climate Change. Washington, DC: The National Academies Press. doi: 10.17226/21852.)
ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.
We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables engineers, owner-operators, and governments to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.
To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a registered trademark of ClimaTwin Corp. ClimaTwin Basic™, ClimaTwin Enterprise™, the ClimaTwin logo, and Climate Risk Intelligence for Infrastructure Digital Twins™ are trademarks of ClimaTwin Corp. All rights reserved.
“As the climate has warmed over recent years, a new pattern of more frequent and more intense weather events has unfolded across the globe. Climate models simulate such changes in extreme events, and some of the reasons for the changes are well understood. Warming increases the likelihood of extremely hot days and nights, favors increased atmospheric moisture that may result in more frequent heavy rainfall and snowfall and leads to evaporation that can exacerbate droughts.
Even with evidence of these broad trends, scientists cautioned in the past that individual weather events couldn’t be attributed to climate change. Now, with advances in understanding the climate science behind extreme events and the science of extreme event attribution, such blanket statements may not be accurate. The relatively young science of extreme event attribution seeks to tease out the influence of human-caused climate change from other factors, such as natural sources of variability like El Niño, as contributors to individual extreme events.
Event attribution can answer questions about how much climate change influenced the probability or intensity of a specific type of weather event. As event attribution capabilities improve, they could help inform choices about assessing and managing risk, and in guiding climate adaptation strategies. This report examines the current state of the science of extreme weather attribution and identifies ways to move the science forward to improve attribution capabilities.”
This study was supported by the David and Lucile Packard Foundation under contract number 2015-63077, the Heising-Simons Foundation under contract number 2015-095, the Litterman Family Foundation, the National Aeronautics and Space Administration under contract number NNX15AW55G, the National Oceanic and Atmospheric Administration under contract number EE-133E-15-SE-1748, and the U.S. Department of Energy under contract number DE-SC0014256, with additional support from the National Academy of Sciences’ Arthur L. Day Fund. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project.
International Standard Book Number-13: 978-0-309-38094-2
International Standard Book Number-10: 0-309-38094-4
Library of Congress Control Number: 2016946880
Digital Object Identifier: 10.17226/21852
(Source: National Academies of Sciences, Engineering, and Medicine. 2016. Attribution of Extreme Weather Events in the Context of Climate Change. Washington, DC: The National Academies Press. doi: 10.17226/21852.)
ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.
We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables engineers, owner-operators, and governments to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.
To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
ClimaTwin® is a registered trademark of ClimaTwin Corp. ClimaTwin Basic™, ClimaTwin Enterprise™, the ClimaTwin logo, and Climate Risk Intelligence for Infrastructure Digital Twins™ are trademarks of ClimaTwin Corp. All rights reserved.
The National Academies hosts a workshop on the use of digital twins in atmospheric, climate, and sustainability science on February 1st and 2nd, 2023. Speakers and panelists include Mike Goodchild (University of California – Santa Barbara), Venkatramani Balaji (Schmidt Futures), Amy McGovern (University of Oklahoma), Anima Anandkumar (California Institute of Technology), and many others, to discuss the definition of a digital twin and its applications.
An emerging technology with the potential to revolutionize atmospheric, climate, and sustainability science, digital twins can be used to create global-scale interactive models of Earth, and enhance climate and weather predictions. Further, Digital Twins in Atmospheric, Climate, and Sustainability Science focuses on key technical challenges for developing and utilizing digital twins, including issues related to artificial intelligence (AI), machine learning (ML), big data, and data assimilation.
(Source: The National Academies of Sciences, Engineering, and Medicine)
ClimaTwin® is a leading climate risk intelligence solution for infrastructure assets and the built environment.
We empower infrastructure stakeholders to mitigate climate risks and assess adaptation actions across the total asset lifecycle. By connecting complex climate models and infrastructure digital twins, our solution enables engineers, owner-operators, and governments to aggregate, visualize, and analyze disparate datasets, revealing site-specific insights at a hyper-local scale. Benefits include 5-10x near-term returns and lifetime cost-avoidance by mitigating risks to systems, services, and societies.
To learn more about climate risk intelligence for your infrastructure assets, please visit www.climatwin.com today.
