A PRESENTATION BY THE AMERICAN ACADEMY OF ACTUARIES TO THE NAIC S CLIMATE CHANGE AND GLOBAL WARMING (C) WORKING GROUP

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A PRESENTATION BY THE AMERICAN ACADEMY OF ACTUARIES TO THE NAIC S CLIMATE CHANGE AND GLOBAL WARMING (C) WORKING GROUP MARCH 24, 2018 MILWAUKEE, WISCONSIN COPYRIGHT 2018 2018 American Academy of Actuaries. All rights reserved. May not be reproduced without express permission.

Actuaries Climate Index & Actuaries Climate Risk Index March 24, 2018 2

Agenda for this presentation Overview Highlights of the ACI Components Regions Latest Findings ACRI Preview Q&A 3

Goals of the Actuaries Climate Index (ACI) and the Actuaries Climate Risk Index (ACRI) Create indices that reflect an actuarial perspective, are objective, and are easy to understand without being overly simplistic Create one index that measures changes in climate extremes, and a second index that relates those climate extremes to economic and human losses Use the indices to inform policymakers, insurance professionals, and the general public on the incidence and impact of extreme events Promote the actuarial profession by contributing constructively to the climate change debate Research Sponsors: 4

ACI-ACRI A Web-based Tool www.actuariesclimateindex.org www.indiceactuarielclimatique.org 5

Website - FAQs www.actuariesclimateindex.org 7

Website - Data www.actuariesclimateindex.org 8

Website - Explore www.actuariesclimateindex.org 9

Website Explore Maps www.actuariesclimateindex.org 10

Three Foundational Documents on the ACI Website 11

Website Explore Component Graphs www.actuariesclimateindex.org 12

Website Explore Regional Graphs www.actuariesclimateindex.org 13

Website Explore Regional Graphs www.actuariesclimateindex.org 14

ACI/ACRI Website ACI information publicly available on the dedicated website, as a resource for use in further research (ACRI will be added) Website includes commentary, documentation, charts of index components, maps showing variation by region, index data for download, and links to other information Commentary provided in English and French ACI data are updated quarterly on the website, based on data for each meteorological season (3 months ending February, May, August, and November) A news release is distributed to the media with each new update and to 600+ individuals who have subscribed to email updates Since launch, more than 22,000 visitor sessions from 134 countries have been tracked, and more than 1,600 data downloads have been made 15

The Actuaries Climate Index (ACI) The Actuaries Climate Index (ACI) was launched November 2016. It is intended to provide a useful monitoring tool an objective indicator of the frequency of extreme weather and the extent of sea level change. Website provides graphics and data for download The ACI is available for the United States and Canada and 12 sub-regions thereof. Six component sub-indices for hot temperatures, cold temperatures, high precipitation, drought, high wind, and coastal sea level It does not address causes or likely impact of climate change It does not provide projections of future effects of climate change 16

ACI Measurements The six components of the Actuaries Climate Index are: High temperatures; Low temperatures; Heavy rainfall; Drought (consecutive dry days); High wind; and Sea level. 17

The Actuaries Climate Index (ACI) focuses on the frequency of severe weather Example: How often is the temperature in a given month at or above the 90 th percentile? The 90 th percentile is based on the 1961-1990 base reference period Average of six component sub-indices for hot temperatures, cold temperatures, high precipitation, drought, high wind, and coastal sea level 18

2.5 Actuaries Climate Index TM - USA & Canada ACI Reference Period Standard Deviations 2.0 1.5 1.0 0.5 0.0 Reference Period 1961-1990 -0.5 Season 5-Year Moving Average -1.0 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 2011 2016 19

Temperature: T90 and T10 The temperature components are defined as the change in frequency of warmer temperatures above the 90 th percentile (T90) and of colder temperatures below the 10th percentile (T10), relative to the reference period of 1961 to 1990. 20

Temperature: T90 and T10 T90: How often is the temperature in a given month at or above the 90th percentile, based on the 1961-1990 base reference period? T10: How often is the temperature in a given month below the 10th percentile, based on the 1961-1990 base reference period? T90 is calculated for both daily maximum temperatures (TX90) and the daily minimum temperatures (TN90); T90 is the average of TX90 and TN90 Similar for T10, with T10 = (TX10 + TN10)/2 TX90, TN90, TX10, TN10 come from GHCNDEX, which provides monthly data on a gridded dataset (2.5 degrees latitude and longitude) GHCNDEX is from the National Center for Atmospheric Research and the University Corporation of Atmospheric Research, headquartered at the University of Colorado 21

Precipitation and Drought Precipitation is measured as the maximum 5- day precipitation amount in a month It comes as a gridded dataset from GHCNDEX Drought is based on the maximum number of GHCNDEX Continuous Dry Days (a dry day is defined as less than 1 mm of precipitation) For each grid point, Continuous Dry Days is a single annual value We are looking to improve the frequency of this data measure 22

2.00 Wind Power, Precipitation, and Drought - USA and Canada 1.50 1.00 0.50 0.00-0.50 D P W ACI -1.00-1.50-2.00 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 2011 2016 Baseline reference period 23

Wind Power and Sea Level Wind Power is calculated as the 90 th percentile of the average Wind Speed from the National Centers for Environmental Protection (NCEP) Wind Power is equal to a constant x Wind Speed Wind Power is used, as damages have been found to be proportional to Wind Power Sea Level is our only component that is not based on a gridded dataset It comes from a worldwide database (Permanent Service for Mean Sea Level) from Liverpool, UK Based on mean monthly Sea Level at 76 coastal tidal stations; the stations within each region are averaged to produce a regional result 24

2.00 Temperature and Sea Level Components - USA and Canada 1.50 1.00 0.50 0.00 S -T10 T90 ACI -0.50-1.00-1.50 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 2011 2016 Baseline reference period 25

ACI data is constructed for geographic grids, then summarized to regions, countries, and in total ACI components are constructed in a uniform 2.5 grid across the USA and Canada 275km by 275km at equator Grid components for each climate variable are summarized into indices for 12 natural regions, two countries and U.S. and Canada in total Summarized indices are unweighted averages of grid components Each climate change component is equally important Frequency of Extreme Temperatures: March 2012 26 26

5.000 Central East Atlantic ACI by Component - 5-Year Averages 4.000 3.000 2.000 1.000 0.000 CDD Rx5 Sea Level T10 T90 Wind Combined -1.000-2.000 Reference Period 1961-1990 -3.000 1961 1966 1971 1976 1981 1986 1991 1996 2001 2006 2011 2016 27

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Latest Findings from the ACI Spring 2017 data were posted in January 2018 Spring 2017 seasonal ACI value* of 1.66 is the seventh consecutive seasonal value above 1.5 Five-year moving average index value of 1.14 remains at same record-high level as was first seen in Winter 2016 *Index of 0 corresponds to the baseline 30-year reference period of 1961-1990 30

Rising Sea Level Sea Level is now the biggest factor in measured climate extremes Change in sea level is particularly notable in the Atlantic and Gulf Coast Regions 31

Preview: Actuaries Climate Risk Index Measure correlation of economic and human losses by peril to the relevant climate variable o Using SHELDUS (Spatial Hazard Events and Losses Database for the United States) data for economic losses, mortality and injuries in the U.S. o Canadian Disaster Database, compiled by Public Safety Canada Goal is to produce an index useful to actuaries and insurance professionals, policymakers and the public. 32

SHELDUS Data Summary Source: http://hvri.geog.sc.edu/sheldus/docs/summary_1960_2015.pdf 33

Actuaries Climate Risk Index - Methodology Regression analysis of damages and ACI components taking into account regional differences (statistically significant relationships found) Currently examining Property Damage, Crop Losses, Fatalities and Injuries as separate analyses, each related to ACI components. 34

Actuaries Climate Risk Index Next Steps Original design for ACRI, based on modeling on the work underlying the UN Development Programme s Disaster Risk Index. Now incorporating changes based on peer review by the Institute and Faculty of Actuaries (IFoA), developing a revised methodology using same data and similar modeling. Supplement the ACI website with ACRI content Expected launch by end of 2018 35

For More Information For more information about this presentation, contact: Marc Rosenberg, senior casualty policy analyst American Academy of Actuaries (202) 785-7865 or rosenberg@actuary.org 36