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Topic: Forecasting Models
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Numerical Weather Prediction for Mitigating the Fatal Loss by the Meteo-tsunami Incidence on the West Coast of Korean Peninsula
Journal Article
Numerical Weather Prediction for Mitigating the Fatal Loss by the Meteo-tsunami Incidence on the West Coast of Korean Peninsula
Hyunsu Kim
,
Myung-Seok Kim
,
Yoo-Keun Kim
,
Sung-Hyup Yoo
,
Ho-Jae Lee
Journal of Coastal Research
, SPECIAL ISSUE No. 79: The 2nd International Water Safety Symposium (Spring 2017), pp. 119-123
Topics:
Weather
,
Seas
,
Atmospherics
,
Oceans
,
Atmospheric models
,
Atmospheric disturbances
,
Weather forecasting
,
High pressure
,
Sea level
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What Does Research on Forecaster Perception Tell Us?
Book Chapter
What Does Research on Forecaster Perception Tell Us?
(pp. 211-242)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Weather
,
Forecasting models
,
Weather maps
,
Cognitive models
,
Clouds
,
Data types
,
Data visualization
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Thinking Counterfactually and with Discipline: Agent-Based Models for Constructing and Deconstructing the Future
Book Chapter
Thinking Counterfactually and with Discipline: Agent-Based Models for Constructing and Deconstructing the Future
(pp. 145-173)
From:
Interpretive Quantification: Methodological Explorations for Critical and Constructivist IR
IAN S. LUSTICK
University of Michigan Press
(2017)
Topics:
Trajectories
,
Modeling
,
Probabilities
,
Government bureaucracy
,
Quantification
,
Government corruption
,
Forecasting models
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How Well Do Forecasters (and Forecasts) Perform?
Book Chapter
How Well Do Forecasters (and Forecasts) Perform?
(pp. 101-128)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Forecasting models
,
Probability forecasts
,
Weather
,
Storms
,
Forecasting techniques
,
Rain
,
Modeling
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Nearshore Wave Forecast for Xiamen, China
Journal Article
Nearshore Wave Forecast for Xiamen, China
Zhifeng Wang
,
Kejian Wu
,
Shanhong Gao
,
Qingjie Li
Journal of Coastal Research
, SPECIAL ISSUE NO. 80: Sustainability of Water Resources and the Development of Coastal Environments: Select Proceedings from the 2016 International Conference on Water Resource and Environment (WRE2016) (SUMMER 2017), pp. 48-54
Topics:
Forecasting models
,
Waves
,
Statistical forecasts
,
Modeling
,
Forecasting techniques
,
Statistical weather forecasting
,
Parametric models
,
Numerical weather forecasting
,
Weather
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Twenty Years of Time Series Econometrics in Ten Pictures
Journal Article
Twenty Years of Time Series Econometrics in Ten Pictures
James H. Stock
,
Mark W. Watson
The Journal of Economic Perspectives
, Vol. 31, No. 2 (Spring 2017), pp. 59-86
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Topics:
Time series forecasting
,
Macroeconomics
,
Macroeconomic modeling
,
Forecasting models
,
Forecasting techniques
,
Economic theory
,
Monetary policy
,
Time series
,
Economic forecasting models
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The World of Weather Forecasting
Book Chapter
The World of Weather Forecasting
(pp. 206-224)
From:
Making Sense of Weather and Climate: The Science Behind the Forecasts
MARK DENNY
Columbia University Press
(2017)
Topics:
Weather
,
Forecasting models
,
Rain
,
Numerical weather forecasting
,
Statistical weather forecasting
,
Cloud seeding
,
Forecasting techniques
,
Climate models
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What Does Research on Forecaster Knowledge Tell Us?
Book Chapter
What Does Research on Forecaster Knowledge Tell Us?
(pp. 191-210)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather
,
Forecasting models
,
Forecasting techniques
,
Knowledge modeling
,
Statistical weather forecasting
,
Warnings
,
Hurricanes
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The Effects of Diverse Polling Methods on the Estimation of Candidates' Approval Ratings: The Case of 19
th
Presidential Election in South Korea
Journal Article
The Effects of Diverse Polling Methods on the Estimation of Candidates' Approval Ratings: The Case of 19
th
Presidential Election in South Korea
Jongho Choi
,
Taegyoon Kim
,
Kangwook Han
Journal of International and Area Studies
, Vol. 24, No. 1 (June 2017), pp. 45-60
Topics:
Polls
,
Political candidates
,
Natural satellites
,
Response rates
,
Presidential elections
,
Political parties
,
Statistical models
,
Estimation methods
,
Public opinion
,
Political campaigns
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The Cleanup and Economic Growth
Book Chapter
The Cleanup and Economic Growth
(pp. 101-128)
From:
The Economics of Air Pollution in China: Achieving Better and Cleaner Growth
Ma Jun
Columbia University Press
(2017)
Topics:
Coal
,
Commodities
,
Economic growth models
,
Computable equilibrium models
,
Automotive industries
,
Environmental policy
,
Heavy industry
,
Coal fuels industry
,
Modeling
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Conclusions and Prospects
Book Chapter
Conclusions and Prospects
(pp. 349-360)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Climate change
,
Weather
,
Climate models
,
Forecasting models
,
Forecasting techniques
,
Perceptual learning
,
Training
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How Do Forecasters Describe How They Reason?
Book Chapter
How Do Forecasters Describe How They Reason?
(pp. 81-100)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Forecasting models
,
Forecasting techniques
,
Weather
,
Cognitive models
,
Reasoning
,
Storms
,
Probability forecasts
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What Characterizes Expertise?
Book Chapter
What Characterizes Expertise?
(pp. 129-150)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Reasoning
,
Cognitive models
,
Weather forecasting
,
Cognition
,
Sense making
,
Weather
,
Perceptual learning
,
Memory
,
Problem solving
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Can a Machine Replace the Human?
Book Chapter
Can a Machine Replace the Human?
(pp. 305-336)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Forecasting models
,
Computer modeling
,
Weather
,
Forecasting techniques
,
Atmospheric models
,
Storms
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How Do People Come to Be Forecasters?
Book Chapter
How Do People Come to Be Forecasters?
(pp. 49-80)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather
,
Forecasting techniques
,
Employment forecasting
,
Statistical weather forecasting
,
Forecasting models
,
Numerical weather forecasting
,
Training
,
Storms
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Forecaster–Computer Interdependence
Book Chapter
Forecaster–Computer Interdependence
(pp. 337-348)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Forecasting models
,
Computer modeling
,
Forecasting techniques
,
Weather
,
Statistical weather forecasting
,
Radar
,
Cognitive models
,
Warnings
,
Storms
You don't have access to
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How Do Forecasters Get to Be Expert Forecasters?
Book Chapter
How Do Forecasters Get to Be Expert Forecasters?
(pp. 151-190)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather
,
Forecasting models
,
Forecasting techniques
,
Journeymen
,
Statistical weather forecasting
,
Library tables
,
Forecasting standards
,
Cognitive models
,
Computer modeling
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Pinus mugo
Krummholz Dynamics During Concomitant Change in Pastoralism and Climate in the Central Apennines
Journal Article
Pinus mugo
Krummholz Dynamics During Concomitant Change in Pastoralism and Climate in the Central Apennines
Li Dai
,
Caterina Palombo
,
Hein van Gils
,
David G. Rossiter
,
Roberto Tognetti
,
Geping Luo
Mountain Research and Development
, Vol. 37, No. 1 (Feb 2017), pp. 75-86
Topics:
Climate change
,
Timberlines
,
Climate models
,
Pastoralism
,
Vegetation
,
Montane forests
,
Research and development
,
Forest ecology
,
Analytical forecasting
,
Summer
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What Is the Forecasting Workspace Like?
Book Chapter
What Is the Forecasting Workspace Like?
(pp. 27-48)
From:
Minding the Weather: How Expert Forecasters Think
Robert R. Hoffman
,
Daphne S. LaDue
,
H. Michael Mogil
,
Paul J. Roebber
,
J. Gregory Trafton
MIT Press
(2017)
Topics:
Weather forecasting
,
Forecasting techniques
,
Weather
,
Data visualization
,
Data types
,
Design
,
Forecasting models
,
Radar
,
Product displays
,
Maps
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HURRICANE SANDY FROM METEOROLOGICAL AND CLIMATOLOGICAL PERSPECTIVES
Book Chapter
HURRICANE SANDY FROM METEOROLOGICAL AND CLIMATOLOGICAL PERSPECTIVES
(pp. 29-43)
From:
Taking Chances: The Coast after Hurricane Sandy
STEVEN G. DECKER
,
DAVID A. ROBINSON
Rutgers University Press
(2016)
Topics:
Hurricanes
,
Weather forecasting
,
Weather
,
Wind
,
Climate models
,
Coasts
,
Storm damage
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Winter 2015/16: A Turning Point in ENSO-Based Seasonal Forecasts
Journal Article
Winter 2015/16: A Turning Point in ENSO-Based Seasonal Forecasts
Judah Cohen
,
Karl Pfeiffer
,
Jennifer Francis
Oceanography
, Vol. 30, No. 1, SPECIAL ISSUE ON INTERNATIONAL COOPERATION IN HARMFUL ALGAL BLOOM SCIENCE (MARCH 2017), pp. 82-89
Topics:
Winter
,
Weather
,
Sea ice
,
Snow cover
,
Modeling
,
Global climate models
,
Forecasting models
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Synoptic Study on Forecasting Large Swell Waves along the Eastern Coast of Korea Using the Operational System
Journal Article
Synoptic Study on Forecasting Large Swell Waves along the Eastern Coast of Korea Using the Operational System
Taemin Ha
,
Cheolwoo Park
,
Jaeseon Yoon
,
Ki-Young Heo
Journal of Coastal Research
, Special Issue No. 75: Proceedings of the 14th International Coastal Symposium, Sydney, 6-11 March 2016. Vol. 2 (March 2016), pp. 1102-1106
Topics:
Coasts
,
Forecasting models
,
Waves
,
Modeling
,
Oceans
,
Atmospherics
,
Oceanography
,
Numerical weather forecasting
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Which is the Best Predictor of Sea Temperature: Satellite, Model or Data Logger Values? A Case Study from the Maltese Islands (Central Mediterranean)
Journal Article
Which is the Best Predictor of Sea Temperature: Satellite, Model or Data Logger Values? A Case Study from the Maltese Islands (Central Mediterranean)
Alan Deidun
,
Adam Gauci
,
Joel Azzopardi
,
Denis Cutajar
,
Hazel Farrugia
,
Aldo Drago
Journal of Coastal Research
, Special Issue No. 75: Proceedings of the 14th International Coastal Symposium, Sydney, 6-11 March 2016. Vol. 1 (March 2016), pp. 627-631
Topics:
Water temperature
,
Loggers
,
Water depth
,
Seas
,
Thermoclines
,
Forecasting models
,
Artificial satellites
,
Data models
,
Modeling
,
Autumn
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Forecasting Opinion Assignment on the U.S. Supreme Court
Book Chapter
Forecasting Opinion Assignment on the U.S. Supreme Court
(pp. 174-201)
From:
The Chief Justice: Appointment and Influence
PAUL J. WAHLBECK
,
ALYX MARK
,
RYAN KROG
,
PHILLIP J. WININGER
University of Michigan Press
(2016)
Topics:
Chief justice
,
Forecasting models
,
Modeling
,
Voting
,
Oral arguments
,
Supreme Court justices
,
Statistical median
,
Forecasting techniques
,
Saliency
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Findings and Policy Considerations
Book Chapter
Findings and Policy Considerations
(pp. 29-32)
From:
Current and Future Exposure of Infrastructure in the United States to Natural Hazards
Henry H. Willis
,
Anu Narayanan
,
Jordan R. Fischbach
,
Edmundo Molina-Perez
,
Chuck Stelzner
,
Kathleen Loa
,
Lauren Kendrick
RAND Corporation
(2016)
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Topics:
Natural hazards
,
Climate change
,
Geographic regions
,
Floods
,
Flood damage
,
Climate models
,
Ocean currents
,
Analytical forecasting
,
Regional planning
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