Makenzie J Krocak
Biographic Data
| ID | 10282287 |
|---|---|
| NAME | Makenzie J Krocak |
| GIVEN NAMES | Makenzie J |
| FAMILY NAME | Krocak |
| SIGNATURE | KROCAK M J |
| AFFILIATIONS | NOAA National Severe Storms Laboratory |
| ORCID | 0000-0002-0943-8725 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Offering an Evidence-Based Recommendation for Improving the Storm Prediction Center’s Categorical Outlook
The Storm Prediction Center (SPC) messages severe thunderstorm hazard likelihood using the categorical outlook, which labels increasing risk through the words “Marginal”, “Slight”, “Enhanced”, “Moderate”, and “High”. Researchers have identified that broadcasters, emergency managers, and members of the public find this word scale is not intuitively ordered and that the five risk words communicate risk inconsistently from person to person. To offer…
Examining Variations in Public Information Seeking for Severe Weather Events on National Weather Service Social Media Posts
As the volume of weather information grows, forecasters must prioritize what to include in public-facing forecasts where time and space are limited. This study examines the types of information the public seeks before severe weather events and how these preferences shift over time. We analyzed public questions posted on National Weather Service (NWS) social media accounts during 35 severe weather events between 2019 and 2021. Each question was co…
Introducing the Flooding and Society Survey Dataset
Data inform weather prediction as well as decision-making, and knowing how people use forecast information for different hazards is immensely valuable. While some data on public reception, comprehension, and response exist in the form of repeated cross-sectional surveys related to severe, tropical, and winter weather events, no large-scale data collection effort has thus far focused specifically on flooding. The 2024 Flooding and Society Survey i…
Modeling the Predictors of Extreme Weather Affective Experience and Its Influence on Extreme Weather Decision-Making
Although recent research has examined the impact of weather and climate on individuals’ emotions, the relationship between affect (the unconscious and immediate reaction of feeling or emotion) and extreme weather events remains relatively unexplored. Affective responses, like feelings of excitement toward seeing lightning from a safe refuge, or fear related to news of an approaching tornado, can have impact on how individuals perceive risk and de…
The Extreme Weather and Emergency Management Survey
National Weather Service (NWS) forecasters have many roles and responsibilities, including communication with core partners throughout the forecast and warning process to ensure that the information they are providing is relevant, understandable, and actionable. Although the NWS communicates to many groups, members of the emergency management community are among the most critical partners. However, little is known about the diverse population of …
Measuring Tornado Warning Reception, Comprehension, and Response in the United States
Social criteria are important to achieving the mission of the National Weather Service. Accordingly, researchers and administrators at the NWS increasingly recognize a need to supplement verification statistics with complementary data about society in performance management and evaluation. This will require significant development of new capacities to both conceptualize relevant criteria and measure them using consistent, transparent, replicable,…
The Impact of Hours of Advance Notice on Protective Action in Response to Tornadoes
As numerical modeling methods and forecasting technologies continue to improve, people may start to see more specific severe weather timing and location information hours before the event occurs. While studies have investigated response actions on the warning time scales, little work has been done to understand what types of actions residents will take given 4–8 h of advance notice for a possible tornado. This study uses data from the 2018 Severe…
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Measuring Tornado Warning Reception, Comprehension, and Response in the United States
Social criteria are important to achieving the mission of the National Weather Service. Accordingly, researchers and administrators at the NWS increasingly recognize a need to supplement verification statistics with complementary data about society in performance management and evaluation. This will require significant development of new capacities to both conceptualize relevant criteria and measure them using consistent, transparent, replicable,…
The Impact of Hours of Advance Notice on Protective Action in Response to Tornadoes
As numerical modeling methods and forecasting technologies continue to improve, people may start to see more specific severe weather timing and location information hours before the event occurs. While studies have investigated response actions on the warning time scales, little work has been done to understand what types of actions residents will take given 4–8 h of advance notice for a possible tornado. This study uses data from the 2018 Severe…
The Extreme Weather and Emergency Management Survey
National Weather Service (NWS) forecasters have many roles and responsibilities, including communication with core partners throughout the forecast and warning process to ensure that the information they are providing is relevant, understandable, and actionable. Although the NWS communicates to many groups, members of the emergency management community are among the most critical partners. However, little is known about the diverse population of …
Introducing the Flooding and Society Survey Dataset
Data inform weather prediction as well as decision-making, and knowing how people use forecast information for different hazards is immensely valuable. While some data on public reception, comprehension, and response exist in the form of repeated cross-sectional surveys related to severe, tropical, and winter weather events, no large-scale data collection effort has thus far focused specifically on flooding. The 2024 Flooding and Society Survey i…
Modeling the Predictors of Extreme Weather Affective Experience and Its Influence on Extreme Weather Decision-Making
Although recent research has examined the impact of weather and climate on individuals’ emotions, the relationship between affect (the unconscious and immediate reaction of feeling or emotion) and extreme weather events remains relatively unexplored. Affective responses, like feelings of excitement toward seeing lightning from a safe refuge, or fear related to news of an approaching tornado, can have impact on how individuals perceive risk and de…
Offering an Evidence-Based Recommendation for Improving the Storm Prediction Center’s Categorical Outlook
The Storm Prediction Center (SPC) messages severe thunderstorm hazard likelihood using the categorical outlook, which labels increasing risk through the words “Marginal”, “Slight”, “Enhanced”, “Moderate”, and “High”. Researchers have identified that broadcasters, emergency managers, and members of the public find this word scale is not intuitively ordered and that the five risk words communicate risk inconsistently from person to person. To offer…
Examining Variations in Public Information Seeking for Severe Weather Events on National Weather Service Social Media Posts
As the volume of weather information grows, forecasters must prioritize what to include in public-facing forecasts where time and space are limited. This study examines the types of information the public seeks before severe weather events and how these preferences shift over time. We analyzed public questions posted on National Weather Service (NWS) social media accounts during 35 severe weather events between 2019 and 2021. Each question was co…
Disaster Management and Resilience (5 works) · Computer Science (4 works) · Meteorological Phenomena and Simulations (4 works) · Psychology (4 works) · Extreme weather (3 works) · Flood Risk Assessment and Management (3 works) · Warning system (3 works) · Data science (2 works) · Geography (2 works) · Meteorology (2 works)