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Socio-Economic Research on Hurricane Forecasts and Warnings
Jeffrey K. LazoSocietal Impacts Program
National Center for Atmospheric Research
Interdepartmental Hurricane ConferenceMarch 2, 2010
Picture “borrowed” from http://www.atmos.washington.edu/~houze/
Overview
“Understanding Hurricane Response for Improved Stakeholder / User Reaction.”
My Presentation
Part 1: Hurricane Forecast Socio-Economic Working Group
Part 2: Benefits of Improved Hurricane Forecasting
Part 3: Current Research– Hurricane Forecast Improvement Project– Communicating Hurricane Information – Warning Decisions: Extreme Weather Events
Part 1: Hurricane Forecast Socio-Economic Working Group
“The Group will recommend research initiatives and projects that can be supported through interagency cooperation, funding for public and private sector academic and commercial research enterprises, and partnerships with private sector information consumers.”
Hurricane Isabelle - September 18 2003
Hurricane Forecast Socio-Economic Working GroupFocal Areas
1. Warning Process
2. Decision Making
3. Evacuation Response Behavior
4. Societal Impacts and Valuation
Plan to develop:
• applied research agenda to generate short-term immediate benefits
• basic research agenda addressing fundamental theoretical and exploratory research designed to generate long-term improvements
• methods to enable the social science research community to gather and further develop research priorities and future agendas
• concept for a long-term, multidisciplinary, institutional approach to undertaking identified research priorities.
Hurricane Forecast Socio-Economic Working Group
Part 2: Benefits of Improved Hurricane Forecasting
Purpose: exploring methods for deriving household values for improved hurricane forecasts– Non-market valuation approach– Small sample implementation– Evacuation decision making– Benefit estimation
Forthcoming in Weather and Forecasting
Benefits of Improved Hurricane ForecastingEvacuation decision making
HurricaneHurricane
3.79(1.40)
3.40(1.47)
2.58(1.42)
1.96(1.20)
1.47(0.82)
1.00
2.00
3.00
4.00
5.00
Category 1 Category 2 Category 3 Category 4 Category 5
Hurricane Category on Saffir-Simpson Scale
Mea
n R
espo
nse
Mean Likelihood of Evacuation by Hurricane CategoryStandard deviation reported in parenthesis.
1 = “Not at all likely” to 5 = “Extremely likely” n = 80
WTP Calculation: Improve Baseline to Intermediate on All Attributes
AttributeBaseline
(all 48 hours in advance)
Intermediate Improvement
Diff.Marg. WTP
WTP
Time of expected landfall
± 8 hours ± 6 hours 2 $2.18 $4.36
Maximum wind speed
± 20 mph ± 15 mph 5 $0.26 $1.30
Projected location of landfall
± 100 miles ± 80 miles 20 $0.23 $4.60
Expected storm surge
±8’ of height above sea level
± 6’ of height above sea level
2 $2.04 $4.08
Total WTP $14.34
Part 3: Current Research
Societal Impacts Program / NCAR
– with multiple co-PIs
1. Hurricane Forecast Improvement Project
2. Communicating Hurricane Information
3. Hurricane and Flood Warning Decisions
4. Storm Surge
Hurricane Forecast Improvement Project
• Post-Katrina Assessments • HFIP
Hurricane Forecast Improvement Project
• HFIP Metrics– Reduce average track error by 50% for Days 1 through 5.
– Reduce average intensity error by 50% for Days 1 through 5.
– Increase the probability of detection (POD) for rapid intensity change to 90% at Day 1 decreasing linearly to 60% at Day 5, and decrease the false alarm ratio (FAR) for rapid intensity change to 10% for Day 1 increasing linearly to 30% at Day 5.
– Extend the lead time for hurricane forecasts out to Day 7
• 10-year program – multiple team research areas– About $20m/yr for 10 years
– Current social science – about $150k
Hurricane Forecast Improvement Project
• Socio-Economic Impacts Assessment– Assessment of Emergency Managers - Betty Morrow
in-depth focused interviews emergency managers stakeholder communities (hospitals / transportation / etc)
– Household valuation – Jeff Lazo non-market stated choice assessment adapted Benefits of Improved Hurricane Forecasting attribute set from HFIP 400 sample across the vulnerable region
Communicating Hurricane Information
• Examining the Hurricane Warning System: Content, Channels, and Comprehension – NSF-NOAA joint announcement of opportunity
• Research foci– How is the content of hurricane forecast and warning
messages generated, and what products result?– What are the channels through which hurricane forecast
and warning information is communicated, and what drives channel selection and use?
– How does the public (including vulnerable populations) comprehend and react to specific components of the forecast and warning messages?
Communicating Hurricane Information
• All text and graphical products at Days 4, 3, 2, and 1 prior to landfall
• Parallel studies in Miami and Houston areas• Mock hurricane hitting these areas
Communicating Hurricane Information
Communicating Hurricane Information
• Methods:– interviews and observations of message development with
forecasters, broadcast media, emergency managers– survey examining how members of the public access
information and their comprehension of and reactions to different messages
– focus groups with vulnerable populations (Miami only)– laboratory tests of sample messages with members of the
public– multi-method synthesis of public component and feedback to
forecast and emergency management communities through Expert Advisory Board
1) Message content – decisions, factors that influence the content of messages provided to others
2) Forecast/job mechanics – steps, actions, factors affecting mechanics of forecasters, EMs, and broadcasters
3) Interactions – content & channels of information (a) among partners, and (b) provided to recipients
4) Message development – data & information influencing process of what information is used in creating warnings
5) Interpretations – challenges of and factors influencing how to analyze and consider the data and/or message content
6) Uncertainty – data or messages that include or reference some ambiguity about the current state or future situation
Communicating Hurricane Information
Hurricane and Flood Warning Decisions
• Warning Decisions in Extreme Weather Events: An Integrated Multi-Method Approach – Funding from NSF Human and Social Dynamics program– 3 year project
• Research foci– How are hurricane / flash flood warnings
communicated, obtained, interpreted, and used in decision making by participants in the warning process?
– Challenges for decision making in the face of risk and uncertainty
Hurricane and Flood Warning Decisions
Hurricane and Flood Warning Decisions
• Parallel studies – Flash floods in Boulder, Colorado
– Hurricanes in Miami, Florida
• Methods– interviews, focus group discussions with forecasters, media,
public officials
– mental models with forecasters, media, public officials, members of public
– stated-preference survey with members of public (Miami only)
– multi-method synthesis
– stakeholder workshop
Likelihood of flash flooding occurring in BOU during warning or watch? Likelihood of flash flooding occurring in BOU during warning or watch?
Researchers Advisors
Ann Bostrom – Risk Communication
Julie Demuth – Meteorology / Communication
Gina Eosco – Communication
Somer Erickson – Emergency Management
Brandi Gilbert – Sociology
Hugh Gladwin – Sociology
Jennifer Hudson – Public Administration
Matthew Jensen – Mgmt. Information Systems
Jeff Lazo – Economics
Claude Miller – Communication
Betty Morrow – Sociology
Rebecca Morss – Meteorology
Dan O’Hair – Communication
Kathleen Tierney – Sociology
Jennifer Thacher – Economics
Don Waldman – Economics
David BernardFrank Billingsley
Luis CarreraChristopher Davis
Mark DeMaria Kelvin Droegemeier
Gene HafeleTim Heller
Greg HollandChuck LanzaMax Mayfield
Bryan NorcrossFrank Redding
Jamie Rhome