Ian Sue Wing
Biographic Data
| ID | 6546420 |
|---|---|
| NAME | Ian Sue Wing |
| GIVEN NAMES | Ian Sue |
| FAMILY NAME | Wing |
| SIGNATURE | WING I S |
| AFFILIATIONS | Boston University |
| ORCID | 0000-0003-1177-3589 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Stakeholder-Based Tool for the Analysis of Regional Risk
This paper presents the Stakeholder-Based Tool for the Analysis of Regional Risk (STARR), a dynamic, stochastic computational framework designed to inform the creation and analysis of government policies for regional disaster risk management. STARR consists of seven interacting modules. Three describe the decision-making of, respectively, government agencies, insurers, and households; four (hazard, damage and loss, buildings, economy) describe th…
Downscaled CMIP5 projections of physical fire risk understate historical trends
Reliable projections of wildfire risk are important for multi-sector impacts analysis. Statistically downscaled and bias-corrected Earth system model ensemble products are routinely used to analyze regional physical wildfire risk, but evaluations of historical observed trends and variability are lacking. Here, we evaluate physical fire risk over the western United States using the Canadian Forest Fire Weather Index (FWI) by comparing model output…
Unequal economic consequences of coastal hazards
The eastern North Carolina Coastal Area Management Act region is one of the most hurricane-prone areas of the United States. Hurricanes incur substantial damage and economic losses because structures located near the coast tend to be high value as well as particularly exposed. To bolster disaster mitigation and community resilience, it is crucial to understand how hurricane hazards drive social and economic impacts. We integrate detailed hazard s…
Future climate impacts on global agricultural yields over the 21st century
Analyses of the future impacts of changing crop yields on agricultural production, prices, food security, and GDP growth using Integrated Assessment models require country-level yield shocks due to changing weather conditions, for a wide range of crops and warming scenarios. We characterize impacts of different climate futures on crop yields for individual countries and years. We use historical crop yield and weather data to empirically estimate …
Simulated vs. empirical weather responsiveness of crop yields
Global gridded crop models (GGCMs) are the workhorse of assessments of the agricultural impacts of climate change. Yet the changes in crop yields projected by different models in response to the same meteorological forcing can differ substantially. Through an inter-method comparison, we provide a first glimpse into the origins and implications of this divergence-both among GGCMs and between GGCMs and historical observations. We examine yields of …
The macroeconomic cost of catastrophic pollinator declines
US major crops’ uncertain climate change risks and greenhouse gas mitigation benefits
We estimate the costs of climate change to US agriculture, and associated potential benefits of abating greenhouse gas emissions. Five major crops' yield responses to climatic variation are modeled empirically, and the results combined with climate projections for a no-policy, high-warming future, as well as moderate and stringent mitigation scenarios. Unabated warming reduces yields of wheat and soybeans by 2050, and cotton by 2100, but moderate…
US major crops’ uncertain climate change risks and greenhouse gas mitigation benefits
We estimate the costs of climate change to US agriculture, and associated potential benefits of abating greenhouse gas emissions. Five major crops' yield responses to climatic variation are modeled empirically, and the results combined with climate projections for a no-policy, high-warming future, as well as moderate and stringent mitigation scenarios. Unabated warming reduces yields of wheat and soybeans by 2050, and cotton by 2100, but moderate…
The macroeconomic cost of catastrophic pollinator declines
Simulated vs. empirical weather responsiveness of crop yields
Global gridded crop models (GGCMs) are the workhorse of assessments of the agricultural impacts of climate change. Yet the changes in crop yields projected by different models in response to the same meteorological forcing can differ substantially. Through an inter-method comparison, we provide a first glimpse into the origins and implications of this divergence-both among GGCMs and between GGCMs and historical observations. We examine yields of …
Future climate impacts on global agricultural yields over the 21st century
Analyses of the future impacts of changing crop yields on agricultural production, prices, food security, and GDP growth using Integrated Assessment models require country-level yield shocks due to changing weather conditions, for a wide range of crops and warming scenarios. We characterize impacts of different climate futures on crop yields for individual countries and years. We use historical crop yield and weather data to empirically estimate …
Unequal economic consequences of coastal hazards
The eastern North Carolina Coastal Area Management Act region is one of the most hurricane-prone areas of the United States. Hurricanes incur substantial damage and economic losses because structures located near the coast tend to be high value as well as particularly exposed. To bolster disaster mitigation and community resilience, it is crucial to understand how hurricane hazards drive social and economic impacts. We integrate detailed hazard s…
Stakeholder-Based Tool for the Analysis of Regional Risk
This paper presents the Stakeholder-Based Tool for the Analysis of Regional Risk (STARR), a dynamic, stochastic computational framework designed to inform the creation and analysis of government policies for regional disaster risk management. STARR consists of seven interacting modules. Three describe the decision-making of, respectively, government agencies, insurers, and households; four (hazard, damage and loss, buildings, economy) describe th…
Downscaled CMIP5 projections of physical fire risk understate historical trends
Reliable projections of wildfire risk are important for multi-sector impacts analysis. Statistically downscaled and bias-corrected Earth system model ensemble products are routinely used to analyze regional physical wildfire risk, but evaluations of historical observed trends and variability are lacking. Here, we evaluate physical fire risk over the western United States using the Canadian Forest Fire Weather Index (FWI) by comparing model output…
Environmental Science (6 works) · Agriculture (4 works) · Climate change (4 works) · Ecology (4 works) · Economics (4 works) · Agricultural risk and resilience (3 works) · Climate change impacts on agriculture (3 works) · Climatology (3 works) · Geography (3 works) · Natural resource economics (3 works)