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Integrating Numerical Models and Monitoring Data
EPA Grant Number: R829402C002Subproject: this is subproject number 002 , established and managed by the Center Director under grant R829402
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: Center for Integrating Statistical and Environmental Science
Center Director: Stein, Michael
Title: Integrating Numerical Models and Monitoring Data
Investigators: Stein, Michael , Amit, Yali , Beletsky, Dmitry , Kotamarthi, V. Rao , Lesht, Barry , Schwab, David
Current Investigators: Stein, Michael , Amit, Yali , Beletsky, Dmitry , Chen, Li , Kotamarthi, V. Rao , Lesht, Barry , Nakamura, Noboru , Schwab, David , Stroud, Jonathan , Zhang, Zepu
Institution: University of Chicago
Current Institution: Argonne National Laboratory , National Oceanic and Atmospheric Administration , University of Chicago , University of Michigan , University of Pennsylvania
EPA Project Officer: Smith, Bernice
Project Period: March 12, 2002 through March 11, 2007
RFA: Environmental Statistics Center (2001)
Research Category: Ecological Indicators/Assessment/Restoration , Environmental Statistics
Description:
Objective:The objective of this research project is to develop statistical approaches to problems in which both monitoring data and output from a physical model are available to assess the state of the physical environment. This project can be organized into eight subprojects, and sections of this report correspond to these subprojects. The subprojects cover a broad range of environmental applications, including air pollution monitoring, stratospheric ozone, adjustment of emissions inventories, sediment transport in Lake Michigan, and chlorophyll levels in Lake Michigan.
The development of statistical models and methods for spatial-temporal processes is central to much of this project, and the area perhaps most in need of advancement is the application of statistics to air and water pollution. We have been addressing this area from theoretical and practical perspectives, with each perspective challenging and supporting the other. One particularly challenging problem that arises in many of the subprojects is the development of statistical models for the errors made by deterministic numerical models, which is of great importance to describing and understanding why models are not successful, and is a critical component to developing effective data assimilation schemes for pollution models. Subprojects B, C, and D have active collaborations with U.S. Environmental Protection Agency (EPA) scientists. Principal Investigator (PI) Michael Stein met with all of the collaborators on a June visit to Research Triangle Park (RTP), NC, and several doctoral students also have visited EPA, including Mikyoung Jun, who spent the summer of 2002 at RTP. Jason Ching of the EPA recently spent a highly productive visit in Chicago and we hope that our other collaborators will be able to visit us during the coming year.
Publications and Presentations:Publications have been submitted on this subproject: View all 28 publications for this subproject | View all 102 publications for this center
Journal Articles:Journal Articles have been submitted on this subproject: View all 17 journal articles for this subproject | View all 37 journal articles for this center
Supplemental Keywords:atmosphere, ozone, water, watersheds, stratospheric ozone, chemical transport, ecological effects, particulates, environmental chemistry, environmental policy, Great Lakes, EPA Region 5, air quality, health effects, regulation, ecosystem sustainability, decisionmaking, exploratory research, environmental biology, air pollution, chemical transport modeling, chemical transport models, ecological health, ecological models, ecological risk, ecosystem health, human health risk, monitoring, policymaking, risk assessment, risk management, statistical methodology, statistical methods, stochastic models, trend monitoring. , Ecosystem Protection/Environmental Exposure & Risk, Economic, Social, & Behavioral Science Research Program, Air, Geographic Area, Scientific Discipline, Health, RFA, PHYSICAL ASPECTS, Ecosystem/Assessment/Indicators, Engineering, Chemistry, & Physics, Risk Assessments, Environmental Statistics, Great Lakes, Applied Math & Statistics, Health Risk Assessment, Physical Processes, Ecological Risk Assessment, Environmental Engineering, EPA Region, particulate matter, Ecological Effects - Environmental Exposure & Risk, Ecosystem Protection, Monitoring/Modeling, Environmental Monitoring, risk assessment, trend monitoring, ozone , chemical transport models, particulate, stochastic models, statistical methodology, air quality, computer models, ecological risk, ecosystem health, environmental indicators, ozone, chemical transport, health risk analysis, human health risk, monitoring, statistical models, particulates, statistical methods, watersheds, Region 5, air pollution, sediment transport, stratospheric ozone, emissions monitoring, data models, exposure, water, chemical transport modeling, ecological models, ecological effects, ecological health, human exposure
Progress and Final Reports:
2002 Progress Report
2004 Progress Report
2006 Progress Report
Final Report
Main Center Abstract and Reports:
R829402 Center for Integrating Statistical and Environmental Science
Subprojects under this Center:
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R829402C001 Detection of a Recovery in Stratospheric and Total Ozone
R829402C002 Integrating Numerical Models and Monitoring Data
R829402C003 Air Quality and Reported Asthma Incidence in Illinois
R829402C004 Quasi-Experimental Evidence on How Airborne Particulates Affect Human Health
R829402C005 Model Choice Stochasticity, and Ecological Complexity
R829402C006 Statistical Approaches to Detection and Downscaling of Climate Variability and Change