Grantee Research Project Results

Integrating Numerical Models and Monitoring Data

EPA Grant Number: R829402C002
Subproject: 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 , Kotamarthi, V. Rao , Lesht, Barry , Schwab, David , Beletsky, Dmitry , Amit, Yali
Current Investigators: Stein, Michael , Kotamarthi, V. Rao , Lesht, Barry , Schwab, David , Beletsky, Dmitry , Stroud, Jonathan , Chen, Li , Nakamura, Noboru , Amit, Yali , Zhang, Zepu
Institution: University of Chicago
Current Institution: University of Chicago , Argonne National Laboratory , National Oceanic and Atmospheric Administration , University of Michigan , University of Pennsylvania
EPA Project Officer: Packard, Benjamin H
Project Period: March 12, 2002 through March 11, 2007
RFA: Environmental Statistics Center (2001) RFA Text |  Recipients Lists
Research Category: Environmental Statistics , Ecological Indicators/Assessment/Restoration , Human Health , Aquatic Ecosystems , Air

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 29 publications for this subproject | View all 120 publications for this center

Journal Articles:

Journal Articles have been submitted on this subproject: View all 18 journal articles for this subproject | View all 52 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., RFA, Scientific Discipline, Health, Economic, Social, & Behavioral Science Research Program, PHYSICAL ASPECTS, Air, Geographic Area, Ecosystem Protection/Environmental Exposure & Risk, Applied Math & Statistics, particulate matter, Health Risk Assessment, Ecosystem/Assessment/Indicators, Ecosystem Protection, Monitoring/Modeling, Ecological Effects - Environmental Exposure & Risk, Risk Assessments, Environmental Monitoring, Physical Processes, Ecological Risk Assessment, Environmental Statistics, Environmental Engineering, Engineering, Chemistry, & Physics, EPA Region, Great Lakes, particulates, risk assessment, ecological effects, monitoring, health risk analysis, watersheds, emissions monitoring, ecological health, ozone , particulate, stratospheric ozone, ozone, sediment transport, computer models, exposure, air pollution, chemical transport modeling, chemical transport, trend monitoring, statistical models, human exposure, ecological risk, water, ecosystem health, environmental indicators, PM, ecological models, chemical transport models, Region 5, data models, air quality, statistical methodology, human health risk, stochastic models

Progress and Final Reports:

2002 Progress Report

2003

2004 Progress Report

2005

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