SEARCH RESULTS

THE LIBRARY The only true wisdom is in knowing you know nothing. - Socrates Search library to access content we have collated from various prestigious businesses in the Catastrophe management sector. To help develop a central dedicated resource for this community to Search by Group Search on Year Sale Author Catagory Year released Bridging Industry and Academia: CERCat's Work on Multi-Hazard Hail and Wind for SCS Read More Inside ICECHIP: Perspectives from the Front Lines of Hail Research Read More Model Validation Read More Opportunities Within or Beyond CAT Modeling Read More Offshore Risk in Non-Modeled Regions // Modelando lo no modelado: Riesgo Off-shore en regiones no modeladas Read More Model Applied to the Earthquake in San Juan, Argentina, and the Need for Catastrophe Models inLatin America // Modelo utilizado para terremoto en San Juan, Argentina + Necesidades demodelos en Latinoamérica Read More The Dos and Dont's of Climate Data and Catastrophe Modeling Read More Introduction to Casualty Cat Modelling Read More Adapting P&C Insurance for a Changing Climate Read More Of Risk and Rates: Fresh Perspectives on European NatCat Read More Climate Data & Catastrophe Modeling Read More Join leading meteorologist Dr. Phil Klotzbach for crucial insights from last year's hurricane season and get a preview of what's brewing for 2025. Read More

THE LIBRARY The only true wisdom is in knowing you know nothing. - Socrates Search library to access content we have collated from various prestigious businesses in the Catastrophe management sector. To help develop a central dedicated resource for this community to Search by Group Search on Year Sale Author Catagory Year released Bridging Industry and Academia: CERCat's Work on Multi-Hazard Hail and Wind for SCS Read More Inside ICECHIP: Perspectives from the Front Lines of Hail Research Read More Model Validation Read More Opportunities Within or Beyond CAT Modeling Read More Offshore Risk in Non-Modeled Regions // Modelando lo no modelado: Riesgo Off-shore en regiones no modeladas Read More Model Applied to the Earthquake in San Juan, Argentina, and the Need for Catastrophe Models inLatin America // Modelo utilizado para terremoto en San Juan, Argentina + Necesidades demodelos en Latinoamérica Read More The Dos and Dont's of Climate Data and Catastrophe Modeling Read More Introduction to Casualty Cat Modelling Read More Adapting P&C Insurance for a Changing Climate Read More Of Risk and Rates: Fresh Perspectives on European NatCat Read More Climate Data & Catastrophe Modeling Read More Join leading meteorologist Dr. Phil Klotzbach for crucial insights from last year's hurricane season and get a preview of what's brewing for 2025. Read More

THE LIBRARY The only true wisdom is in knowing you know nothing. - Socrates Search our library to access content we have collated from various prestigious businesses in the Catastrophe management sector. Our aim is to develop a central dedicated resource for this community. Bridging Industry and Academia: CERCat's Work on Multi-Hazard Hail and Wind for SCS no document available no document available 2026 no document available Inside ICECHIP: Perspectives from the Front Lines of Hail Research document available 1 recording available document available 2025 document available Model Validation document available 1 recording available document available 2025 document available Opportunities Within or Beyond CAT Modeling document available 1 recording available document available 2025 document available Offshore Risk in Non-Modeled Regions // Modelando lo no modelado: Riesgo Off-shore en regiones no modeladas no document available no document available 2026 no document available Model Applied to the Earthquake in San Juan, Argentina, and the Need for Catastrophe Models inLatin America // Modelo utilizado para terremoto en San Juan, Argentina + Necesidades demodelos en Latinoamérica document available 1 recording available document available 2025 document available The Dos and Dont's of Climate Data and Catastrophe Modeling no document available no recording available no document available 2025 no document available Introduction to Casualty Cat Modelling document available 1 recording available document available 2025 document available Adapting P&C Insurance for a Changing Climate no document available no document available 2026 no document available Of Risk and Rates: Fresh Perspectives on European NatCat document available no recording available document available 2025 document available Climate Data & Catastrophe Modeling document available 1 recording available document available 2025 document available Recap of the 2024 Hurricane Season and Looking Ahead to 2025 no document available 1 recording available no document available 2025 no document available

THE LIBRARY The only true wisdom is in knowing you know nothing. - Socrates Search library to access content we have collated from various prestigious businesses in the Catastrophe management sector. To help develop a central dedicated resource for this community to Bridging Industry and Academia: CERCat's Work on Multi-Hazard Hail and Wind for SCS Offshore Risk in Non-Modeled Regions // Modelando lo no modelado: Riesgo Off-shore en regiones no modeladas Adapting P&C Insurance for a Changing Climate Inside ICECHIP: Perspectives from the Front Lines of Hail Research Model Applied to the Earthquake in San Juan, Argentina, and the Need for Catastrophe Models inLatin America // Modelo utilizado para terremoto en San Juan, Argentina + Necesidades demodelos en Latinoamérica Of Risk and Rates: Fresh Perspectives on European NatCat Model Validation The Dos and Dont's of Climate Data and Catastrophe Modeling Climate Data & Catastrophe Modeling Opportunities Within or Beyond CAT Modeling Introduction to Casualty Cat Modelling Recap of the 2024 Hurricane Season and Looking Ahead to 2025 Bridging Industry and Academia: CERCat's Work on Multi-Hazard Hail and Wind for SCS Read More Inside ICECHIP: Perspectives from the Front Lines of Hail Research Read More Model Validation Read More Opportunities Within or Beyond CAT Modeling Read More Offshore Risk in Non-Modeled Regions // Modelando lo no modelado: Riesgo Off-shore en regiones no modeladas Read More Model Applied to the Earthquake in San Juan, Argentina, and the Need for Catastrophe Models inLatin America // Modelo utilizado para terremoto en San Juan, Argentina + Necesidades demodelos en Latinoamérica Read More The Dos and Dont's of Climate Data and Catastrophe Modeling Read More Introduction to Casualty Cat Modelling Read More Adapting P&C Insurance for a Changing Climate Read More Of Risk and Rates: Fresh Perspectives on European NatCat Read More Climate Data & Catastrophe Modeling Read More Join leading meteorologist Dr. Phil Klotzbach for crucial insights from last year's hurricane season and get a preview of what's brewing for 2025. Read More

Collation of helpful websites. CAT- ASSIST WEBSITES Post Event Imagery Earthquake Flood Hurricane Wildfire Event Weather Track Drought General Below is a list of websites that we have used over the years to help track and monitor different event from Wildfires to Hurricanes. We also found the Post-Event Imagery websites particularly useful when working with Claims in calculating estimated losses. If you have a large risk that is driving the numbers you can investigate using this post imagery. If the risk was damaged/undamaged you can alter your estimate accordingly. Post Event Imagery Imagery Emergency Response Imagery Post event satellite and drone imagery in the United States. Provided by the NOAA Remote Sensing Division. This is a great tool to tweak your modelled losses to improve your loss estimate accuracy. Also a great tool for your claims department. Go to site Earthquake United States Geological Survey Keep up to date on the latest Earthquakes with this interactive map by the USGS. See current and historical data on earthquakes from date and location to strength and depth. Go to site Japan Seismic Hazard Information Station J-SHIS was established to help prevent and prepare for earthquake disaster by providing a public portal for seismic hazard information across Japan. Go to site Earthquake NOAA Tsunami Warnings Keep up to date on the latest Tsunami with this interactive map by NOAA. Go to site Wildfire Wildfire California Wildfires Track and monitor the latest California Wildfires. Locations are approximate, but can assist in identifying possible risks that are exposed while waiting for your vendor to release a footprint. Go to site NASA EARTH DATA Download active fire products from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) (MCD14DL ) and NASA's Visible Infrared Imaging Radiometer Suite (VIIRS) for the last 24, 48 hours and 7 days in shapefile, KML, WMS or text file formats. VIIRS data complement MODIS fire detections but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas. Go to site Fire Information for Resource Managment System Track and monitor the latest Wildfires from 7 days to date. Using MODIS and VIIRS Go to site NASA World View This service is just not for Wildfires but can be used for multiple events. It offers time line Satellite imagery. The resolution is not that great its still useful. Go to site Flood Environmental Agency UK Flood Agency, Track and keep up-to-date with the latest Flood warnings and identify flood areas. Go to site Coastal Exposure Flood Mapper Interactive NOAA map to track and keep up-to-date with the latest Flood warnings and identify coastal flood areas. Go to site Flood Hurricane National Hurricane Centre Monitor and track the latest Hurricanes/Cyclones that are developing around the World. Go to site Historical Hurricane Tracks NOAA provides this online tool that allows you to look back at historical hurricane tracks. Go to site Coastal Emergency Risk Assessment A computer model with a 25 year track record of success, to calculate storm surge corresponding to the latest official hurricane forecast track. Storm surge maps on an interactive web mapper (CERA) to help understand the potential impacts and timing of storm surge. Go to site Wikipedia List of Atlantic hurricane records Go to site Insurance Information Institute Facts + Statistics: Hurricanes Data-driven insights on insurance to inform and empower. Go to site Hurricane Weather Research and forecast System HWRF Forecast Guidance for Current Active Storms. Go to site Hurricanes in a Multi-scale Ocean coupled Non-hydrostatic model HMON Forecast Guidance for Current Active Storms. Go to site Global Wind Map Go to site Go to site Hurricane EventWeather Wikipedia North Atlantic Hurricane Season Event Weather TigerAlert TigerAlert storm tracker by Tiger Risk Partners. This site provides practical and aesthetically pleasing real time weather watches and tracking covering Tropical cyclones, Earthquakes, Wildfires and Severe storms. Go to site WunderMap From Weather Underground provides local & long range weather forecasts, weather reports, maps & tropical weather conditions for locations worldwide. This is a great tool for monitoring and tracking Hurricanes and Typhoons anywhere in the world. Go to site Drought Drought United States Drought Monitor Go to site General General Pacific Disaster Center PDC is an applied research center managed by the University of Hawaii that provides the most reliable information, ground-breaking research, applied scientific practices, and its powerful disaster risk intelligence platform, DisasterAWARE to empower disaster management decision makers and the public. They support disaster mitigation, preparedness, response, and recovery worldwide—using strategies that are consistent with the United Nations’ approach to disaster risk reduction. Go to site Data Science / Climate Change Global warming is one of the most pressing and severe challenges confronting our planet. This urgent problem is primarily fueled by the rising levels of greenhouse gases (GHGs) such as carbon dioxide, methane, and nitrous oxide in the Earth's atmosphere. Data science is a powerful tool in the fight against global warming. It uses different methods, such as machine learning (where computers learn from data) and data visualization (turning data into pictures), to analyze the details and understand the most challenging components of climate change. Go to site

Waypoint Underwriting Management < Back Veronica Van Dyke Veronica Van Dyke Waypoint Underwriting Management Previous Next

MEET THE TEAM Select the group you would like to view. Executive Directors Board of Directors Corporate Members Past Presidents Read More Read More Read More Daniel Dick Read More ISCM President Julie Serakos Read More ISCM Vice President Jeff Tennis Read More ISCM Treasurer Justin Panther Read More ISCM Secretary Jon Ward Read More ISCM Immediate Past President Ron Nash Read More Past President Andrew Castaldi Read More Past President Carl G. Hedde Read More Past President Maria Kovas Read More Past President Randall Law Read More Past President Nicholas F. DiMuzio Read More Past President David Keeton Read More Past President Shari Zola Read More Past President Alan Godfrey Read More Board of Directors Brian Bastian Read More Board of Directors David Singh Read More Board of Directors Emma Watkins Read More Board of Directors Kelly Hereid Read More Board of Directors Mark Christensen Read More Board of Directors Megan Hart Read More Board of Directors Monica Mason Read More Board of Directors Peter Zimmerli Read More Board of Directors Tim Edwards Read More Board of Directors Tom Larsen Read More Board of Directors Veronica Van Dyke Read More Board of Directors Cotality Read More Howard Kunst Moody's Read More Matt Nielsen

The International Society of Catastrophe Managers promote catastrophe management professionalism within the insurance industry. Services Welcome THE INTERNATIONAL SOCIETY OF CATASTROPHE MANAGERS Volunteer your time JOIN A COMMITTEE Learn something new ISCM EVENTS Gain industry certification ACCREDITATION BECOME A MEMBER MEMBERSHIP BE PART OF SOMETHING BIGGER Our membership is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our members invest represents a significant part of not only our culture, but our reputation and collective achievement as well. We embrace and encourage our members’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our organization unique. Being an ISCM member gives you access to all ISCM-sponsored networking and educational events, access to our online forum for networking / engaging with industry colleagues, and so much more... Student membership is complimentary as long as the member is enrolled in an undergraduate or graduate program. Once employed, must convert to paying member for the next renewal period. Catastrophe risk professionals awarded the Certified Specialist in Catastrophe Risk (CSCR) or Certified Catastrophe Risk Management Professional (CCRMP) designations are credentialed members with dues paid through iCAS. Download Brochure Membership MEMBERSHIP OPTIONS Member $ 100 100$ Valid for one year Get Plan Student - Member Free Valid for one year Get Plan Submit Thanks for submitting! CONTACT US info@catmanagers.org 1445 New York Avenue 7th Floor, Washington DC 20005 · USA contact

Connect with other members and create conversation. Wix Forum is no longer available This application has been discontinued. If you need community app use Wix Groups. Wix Forum is no longer available This application has been discontinued. If you need community app use Wix Groups. Recent Posts

This link is no longer valid. Back to Site

Nat-Cat 101 General1 How are Hurricanes Measured? https://static.wixstatic.com/media/undefined Saffir-Simpson Scale Hurricanes are measured on the Saffir-Simpson wind scale. This was introduced to help scale and assess the likely damage from a hurricane. The categories run from 1 - 5. These categories are based on sustained wind speed. The sustained winds are the average winds over a period of one minute. Although wind speed can far exceed the 157mph (Cat 5). Such as Hurricane Irma, which reached 185 mph. No Category 6 exists on the scale as it is agreed that any wind speed in Category 5 reflex near total destruction. So would have no practical benefit. Whats the difference between a Hurricane, Cyclone, Typhoon?" https://static.wixstatic.com/media/undefined Tropical Cyclone Locations Tropical Cyclones occur in various locations around the World. When they exceed 74 mph, although they have the same characteristics they fall under different naming classifications depending on the location. The Map below show the region of each classification. Throughout the year there is increased activity during certain months. Which are known as seasons. The seasons change depending on the region. Hurricanes - Increase between June to November Typhoons - Increase between May to October Cyclones - Increase between November to Ma How can Hurricane size vary? https://static.wixstatic.com/media/undefined A brief overview of the variations between hurricane diameters . From Tropical Storm Marco; the smallest recorded hurricane to Typhoon Tip the largest ever recorded hurricane. Size of the storm is based on the diameter only. - Data sourced from 'Reigarw Comparisons'.

Atlantic Hurricane Seasons Season Tropical Storms Hurricanes Major Hurricane ACE Classification 2020 30 14 7 182.23 Hyperactive 2019 18 6 3 132.20 Hyperactive 2018 15 8 2 126.8325 Above normal 2017 17 10 6 224.8775 Hyperactive 2016 15 7 4 141.2525 Above normal 2015 11 4 2 62.685 Below normal 2014 8 6 2 66.725 Near normal 2013 14 2 0 36.12 Below normal 2012 19 10 2 132.6325 Above normal 2011 19 7 4 126.3025 Above normal 2010 19 12 5 165.4825 Hyperactive 2009 9 3 2 52.58 Below normal 2008 16 8 5 145.7175 Above normal 2007 15 6 2 73.885 Near normal 2006 10 5 2 78.535 Near normal 2005 28 15 7 250.1275 Hyperactive 2004 15 9 6 226.88 Hyperactive 2003 16 7 3 176.84 Hyperactive 2002 12 4 2 67.9925 Near normal 2001 15 9 4 110.32 Near normal 2000 15 8 3 119.1425 Above normal 1999 12 8 5 176.5275 Hyperactive 1998 14 10 3 181.7675 Hyperactive 1997 8 3 1 40.9275 Below normal 1996 13 9 6 166.1825 Hyperactive 1995 19 11 5 227.1025 Hyperactive 1994 7 3 0 32.02 Below normal 1993 8 4 1 38.665 Below normal 1992 7 4 1 76.2225 Below normal 1991 8 4 2 35.5375 Below normal 1990 14 8 1 96.8025 Near normal 1989 11 7 2 135.125 Near normal 1988 12 5 3 102.9925 Near normal 1987 7 3 1 34.36 Below normal 1986 6 4 0 35.7925 Below normal 1985 11 7 3 87.9825 Near normal 1984 13 5 1 84.295 Near normal 1983 4 3 1 17.4025 Below normal 1982 6 2 1 31.5025 Below normal 1981 12 7 3 100.3275 Near normal 1980 11 9 2 148.9375 Near normal 1979 9 6 2 92.9175 Near normal 1978 12 5 2 63.2175 Below normal 1977 6 5 1 25.3175 Below normal 1976 10 6 2 84.1725 Near normal 1975 9 6 3 76.0625 Near normal 1974 11 4 2 68.125 Below normal 1973 8 4 1 47.85 Below normal 1972 7 3 0 35.605 Below normal 1971 13 6 1 96.5275 Near normal 1970 10 5 2 40.18 Below normal 1969 18 12 5 165.7375 Hyperactive 1968 8 5 0 45.0725 Below normal 1967 8 6 1 121.705 Near normal 1966 11 7 3 145.2175 Above normal 1965 6 4 1 84.33 Below normal 1964 12 6 6 169.7675 Near normal 1963 9 7 2 117.9325 Near normal 1962 5 3 1 35.5675 Below normal 1961 11 8 7 205.395 Hyperactive 1960 8 4 2 72.9 Near normal 1959 14 7 2 77.1075 Near normal 1958 12 7 3 109.6925 Above normal 1957 8 3 2 78.6625 Near normal 1956 12 4 1 56.6725 Below normal 1955 13 9 4 158.17 Hyperactive 1954 16 7 3 110.88 Near normal 1953 14 7 3 98.5075 Near normal 1952 11 5 2 69.08 Near normal 1951 12 8 3 126.325 Above normal 1950 16 11 6 211.2825 Hyperactive 1949 16 7 2 96.4475 Near normal 1948 10 6 4 94.9775 Near normal 1947 10 5 2 88.49 Near normal 1946 7 3 0 19.6125 Below normal 1945 11 5 2 63.415 Below normal 1944 14 8 3 104.4525 Near normal 1943 10 5 2 94.01 Near normal 1942 11 4 1 62.485 Below normal 1941 6 4 3 51.765 Below normal 1940 9 6 0 67.79 Near normal 1939 6 3 1 43.6825 Below normal 1938 9 4 2 77.575 Near normal 1937 11 4 1 65.85 Near normal 1936 17 7 1 99.775 Near normal 1935 8 5 3 106.2125 Near normal 1934 13 7 1 79.0675 Near normal 1933 20 11 6 258.57 Hyperactive 1932 15 6 4 169.6625 Hyperactive 1931 13 3 1 47.835 Below normal 1930 3 2 2 49.7725 Below normal 1929 5 3 1 48.0675 Below normal 1928 6 4 1 83.475 Below normal 1927 8 4 1 56.4775 Below normal 1926 11 8 6 229.5575 Hyperactive 1925 4 1 0 7.2525 Below normal 1924 11 5 2 100.1875 Near normal 1923 9 4 1 49.31 Below normal 1922 5 3 1 54.515 Below normal 1921 7 5 2 86.53 Near normal 1920 5 4 0 29.81 Below normal 1919 5 2 1 55.04 Below normal 1918 6 4 1 39.8725 Below normal 1917 4 2 2 60.6675 Below normal 1916 15 10 5 144.0125 Above normal 1915 6 5 3 130.095 Near normal 1914 1 0 0 2.53 Below normal 1913 6 4 0 35.595 Below normal 1912 7 4 1 57.2625 Below normal 1911 6 3 0 34.2875 Below normal 1910 5 3 1 63.9 Below normal 1909 12 6 4 93.34 Near normal 1908 10 6 1 95.11 Near normal 1907 5 0 0 13.06 Below normal 1906 11 6 3 162.88 Hyperactive 1905 5 1 1 28.3775 Below normal 1904 6 4 0 30.345 Below normal 1903 10 7 1 102.07 Near normal 1902 5 3 0 32.65 Below normal 1901 13 6 0 98.975 Near normal 1900 7 3 2 83.345 Near normal 1899 10 5 2 151.025 Above normal 1898 11 5 1 113.2375 Near normal 1897 6 3 0 54.54 Below normal 1896 7 6 2 136.0825 Near normal 1895 6 2 0 68.765 Below normal 1894 7 5 4 135.42 Near normal 1893 12 10 5 231.1475 Hyperactive 1892 9 5 0 115.8375 Near normal 1891 10 7 1 116.105 Near normal 1890 4 2 1 33.345 Below normal 1889 9 6 0 104.0425 Near normal 1888 9 6 2 84.945 Near normal 1887 19 11 2 181.26 Hyperactive 1886 12 10 4 166.165 Hyperactive 1885 8 6 0 58.3 Below normal 1884 4 4 1 72.06 Below normal 1883 4 3 2 66.7 Near normal 1882 6 4 2 59.4675 Below normal 1881 7 4 0 59.25 Below normal 1880 11 9 2 131.08 Near normal 1879 8 6 2 63.63 Below normal 1878 12 10 2 180.85 Hyperactive 1877 8 3 1 73.36 Below normal 1876 5 4 2 56.05 Below normal 1875 6 5 1 72.48 Near normal 1874 7 4 0 47.05 Below normal 1873 5 3 2 69.47 Near normal 1872 5 4 0 65.38 Below normal 1871 8 6 2 88.39 Near normal 1870 11 10 2 87.8 Near normal 1869 10 7 1 51.02 Below normal 1868 4 3 0 34.65 Below normal 1867 9 7 1 59.97 Below normal 1866 7 6 1 83.65 Near normal 1865 7 3 0 49.13 Below normal 1864 5 3 0 26.55 Below normal 1863 9 5 0 50.35 Below normal 1862 6 3 0 46.03 Below normal 1861 8 6 0 49.71 Below normal 1860 7 6 1 62.06 Below normal 1859 8 7 1 55.73 Below normal 1858 6 6 0 44.79 Below normal 1857 4 3 0 46.84 Below normal 1856 6 4 2 48.94 Below normal 1855 5 4 1 18.12 Below normal 1854 5 3 1 31 Below normal 1853 8 4 2 76.49 Near normal 1852 5 5 1 73.28 Near normal 1851 6 3 1 36.24 Below normal