Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R....
-
Upload
sharon-hunt -
Category
Documents
-
view
215 -
download
2
Transcript of Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R....
![Page 1: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/1.jpg)
Integrative Pollutant Analysis
Notes for HTAP 2007 Interim Report
by R. Husar, May 2007
Models
Observations
Emissions
Forecast
Characterization
Processes
![Page 2: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/2.jpg)
Collect, Compare, Integrate/Reconcile
• Emissions, Observations and Models are contributed by diverse, distributed providers
• These data need to be accessed, integrated and/or reconciled
Comparison studies are conducted for Observations, Emissions and Models
Model Outputs
Observations
EmissionsEmission Integration
Emission comparisons, reconciliation
Model Comparisons
Model-model comparison, ensemble,
Data Integration
Data homogenization and integration
![Page 3: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/3.jpg)
Interdependence of Emissions, Models and Observations
• Emissions arise from bottom-up ‘bean counting’ (man-made) or through inverse modeling (natural)
• Forward modeling performance depends heavily on the quality of the (uncertain) emissions inventory
• Field observations include all sources; so model evaluation is only possible if emissions are correct
Observations, emissions and modeling require iterative development and linking
Model Outputs
Emissions
Inverse Modeling
Emissions retrieval from observations;
Model Evaluation, Data Assimilation
Performance testing, improved formulation,
model nudging
Forward Modeling
Process-based simulation; source-receptor relationship
Observations
Emission Integration
Emission comparisons, reconciliation
Model Comparisons
Model-model comparison, ensemble,
Data Integration
Data homogenization and integration
![Page 4: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/4.jpg)
Observations
Process Studies
• Characterization – creating the best available pollutant pattern as distributed in space-time-parameter• Characterization - achievable by Reanalysis with the ‘best available’ model and assimilated observations• Understanding gained from the model processes and applying previous/tacit knowledge
Goal: Pollutant Characterization and Understanding
Models
Emissions
Assimilation
Diagnostics
Use observations and model to extract process insights
Assimilation
Processes
![Page 5: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/5.jpg)
Real-Time Pollutant Forecasting
• Characterization – creating the best available pollutant pattern as distributed in space-time-parameter• Characterization - achievable by Reanalysis with the ‘best available’ model and assimilated observations• Understanding gained from the model processes and applying previous/tacit knowledge
Goal: Pollutant Characterization and Understanding
Models
Observations
Emissions
Assimilation
Assimilation
Forecast
Forecasting
Meteorology(s), emissions(s) and chem-
model(s)
![Page 6: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/6.jpg)
Pollutant Characterization, Understanding
• Characterization – creating the best available pollutant pattern as distributed in space-time-parameter• Characterization - achievable by Reanalysis with the ‘best available’ model and assimilated observations• Understanding gained from the model processes and applying previous/tacit knowledge
Goal: Pollutant Characterization and Understanding
Models
Observations
Emissions
Reanalysis
Forward model with assimilated observations
Data Interpretation
Use of previous & tacit knowledge to explain data
GOAL:
Knowledge Creation
Characterization of pattern; understating of processes
Characterization
![Page 7: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/7.jpg)
Integrative Air Pollution Analysis
• In the past, most of these activities were conducted separately with little mutual support/benefit
• Dynamically linking these activities for specific analyses would benefit each
Model Outputs
Observations
Emissions
Inverse Modeling
Model Evaluation Data Assimilation
Forward Modeling
Reanalysis
Data Interpretation
Use of previous & tacit knowledge to explain data
Data Integration
Emission Integration
Model Comparisons
Forecast
Forecasting
Characterization
Diagnostics
Use observations and model to extract process insights
Diagnostics
Processes
Data Interpretation
![Page 8: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/8.jpg)
Integrative Air Pollution Analysis
• In the past, most of these activities were conducted separately with little mutual support/benefit
• Dynamically linking these activities for specific analyses would benefit each
Models
Observations
Emissions
Inverse Modeling
Emissions retrieval from observations;
Model Evaluation
Data Assimilation
Performance testing, improved formulation
Forward Modeling
Process-based simulation; source-receptor relationship
Reanalysis
Data Interpretation
Use of previous & tacit knowledge to explain data
Data Integration
Data homogenization and integration
Emission Integration
Emission comparisons, reconciliation
Model Comparisons
Model-model comparison, ensemble,
Forecast
Forecasting
Characterization
Diagnostics
Use observations and model to extract process insights
Diagnostics
Processes
Data Interpretation
![Page 9: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/9.jpg)
Integrative Air Pollution Analysis
• In the past, most of these activities were conducted separately with little mutual support/benefit
• Dynamically linking these activities for specific analyses would benefit each
Models
Observations
Emissions Characterization
Understanding
Inverse Modeling
Emissions retrieval from observations;
Model Evaluation
Performance testing, improved formulation
Forward Modeling
Process-based simulation; source-receptor relationship
Reanalysis
Forward model with assimilated observations
Data Interpretation
Use of previous & tacit knowledge to explain data
Data Integration
Data homogenization and integration
Emission Integration
Emission comparisons, reconciliation
Model Comparisons
Model-model comparison, ensemble,
GOAL:
Knowledge Creation
Characterization of pattern; understating of processes
![Page 10: Integrative Pollutant Analysis Notes for HTAP 2007 Interim ReportHTAP 2007 Interim Report by R. Husar, May 2007R. Husar Models Observations Emissions Forecast.](https://reader035.fdocuments.us/reader035/viewer/2022070404/56649f335503460f94c50624/html5/thumbnails/10.jpg)
Incorporations of HTAP Projects
• HTAP incorporates a number of projects (individual ‘systems’) relevant to Integrated Analysis• The projects could be connected into a ‘System of Systems’ and act as a coordinated unit
The information infrastructure for integration is available
Models
Observations
Emissions Characterization
Understanding
Inverse Modeling
???
Model Evaluation
HTAP Phase II ?
Forward Modeling
HTAP Phase II
Data Integration
Juelich, DataFed?
Emission Integration
NEISGEI, GEIA
Model Comparisons
AeroCom, HTAP
GOAL:
Knowledge Creation
Characterization of pattern; understating of processes