Difference between revisions of "Obs Emiss Model Assimilation"

From Earth Science Information Partners (ESIP)
m ([BOT] Misspelling correction: | Reconcilation -> Reconciliation)
 
(18 intermediate revisions by one other user not shown)
Line 1: Line 1:
 
<center><big>Observation, Emission, Model Assimilation</big></center>
 
<center><big>Observation, Emission, Model Assimilation</big></center>
 +
__noeditsection__
 +
 
==Data Assimilation Framework==
 
==Data Assimilation Framework==
 +
 +
A framework for data assimilation was prepared for the Hemispheric Transport of Air Pollutants (HTAP) working group in support of the Rong-Range Transport of Air Pollutants (LRTP) international protocol. The essence of the integration framework is that observations, emissions, and models of air pollutants need to be assessed and iteratively reconciled as a single entity that characterizes air pollution. For more detail on the framework see the [[HTAP_Report%2C_Sub-Chap._6_-_Data/Info_System|workspace of the HTAP data system]].   
 +
 +
The data assimilation framework discussed below, also incorporates many of the concepts  developed at WMO workshop:'''''Chemical Data Assimilation for the Observation of the Earth's Atmosphere''''' [http://www.wmo.int/pages/prog/arep/gaw/gaw-reports.html WMO GAW 169]. The summary of that workshop is [[IGACO_Data_Assimilation|anotated and reproduced]] to aid the illustrations below.
 +
 +
 
[[Image:071124_ObsEmissModel.PNG|300px]][[Image:071124_OEM_Links.PNG|300px]][[Image:071124_OEM_Networking.PNG|300px]]
 
[[Image:071124_ObsEmissModel.PNG|300px]][[Image:071124_OEM_Links.PNG|300px]][[Image:071124_OEM_Networking.PNG|300px]]
  
Line 10: Line 18:
 
A network that facilitates human-human as well as computer-computer interaction is desired.   
 
A network that facilitates human-human as well as computer-computer interaction is desired.   
  
The main goal of the HTAP network is to facilitate the human and data connectivity. Given the connectivity, we wish to enable the participants with shared tools and methods.
+
The main goal of the HTAP network is to facilitate the human and data connectivity. Given the connectivity, we wish to enable the participants with shared tools and methods.
  
 
==Observation-Emision Links==
 
==Observation-Emision Links==
[[Image:071124_OMINO2_Avg.PNG|300px]]  [[Image:071124_OMINO2_Mobile.PNG|300px]]  [[Image:071124_OMINO2_Point.PNG|300px]]
+
This section ....
 +
 
 +
 
 +
 
 +
[[Image:071124_OMINO2_Avg.PNG|500px]]  [[Image:071124_OMINO2_Mobile.PNG|500px]]  [[Image:071124_OMINO2_Point.PNG|500px]]
  
  
Line 24: Line 36:
 
However, additional hotspots are also observed over known individual power plants in the western and southeastern US.  
 
However, additional hotspots are also observed over known individual power plants in the western and southeastern US.  
  
==Point Sources over the Western US==
+
===Point Sources over the Western US===
[[Image:071124_OMINO2_PointWest.PNG|300px]]  [[Image:071124_OMINO2_PointWestPoint.PNG|300px]]
+
[[Image:071124_OMINO2_PointWest.PNG|500px]]  [[Image:071124_OMINO2_PointWestPoint.PNG|500px]]
  
 
In the Western US, individual power plants, most notable the Four Corners plant,  are clearly discernable by impact on their surroundings
 
In the Western US, individual power plants, most notable the Four Corners plant,  are clearly discernable by impact on their surroundings
  
==Georgia Smoke NO2 Emisssion==
+
===Georgia and Idaho Smoke NO2 Emisssion===
[[Image:071124_OMINO2_GASmokeAvg.PNG|300px]]  [[Image:071124_OMINO2_GASmokeMobil.PNG|300px]]
+
[[Image:071124_OMINO2_GASmokeAvg.PNG|500px]]  [[Image:071124_OMINO2_GASmokeMobil.PNG|500px]]
  
 
Non-industrial sources of NOx are also detectable in the OMI NO2 climatology. The impact of the S. Georgia fire in May 2007 is clearly quantifyable.
 
Non-industrial sources of NOx are also detectable in the OMI NO2 climatology. The impact of the S. Georgia fire in May 2007 is clearly quantifyable.
Line 36: Line 48:
 
It is evident, that the fire emission can be spatially separated from the urban and power plant emissions.
 
It is evident, that the fire emission can be spatially separated from the urban and power plant emissions.
  
==Idaho Smoke NO2 Emission==
+
[[Image:071124_OMINO2_IdahoSmoke.PNG|500px]]
[[Image:071124_OMINO2_IdahoSmoke.PNG|300px]]
+
 
 
The regular biomass burning in the Northwestern US has also quantifiable impact on the tropospheric NO2. Such data can be evaluated to generate improved emission inventories for NOx.
 
The regular biomass burning in the Northwestern US has also quantifiable impact on the tropospheric NO2. Such data can be evaluated to generate improved emission inventories for NOx.
 +
 +
===Weekday Weekend Emission ===
 +
[[Image:071124_OMINO2_WeekdayWeekend.PNG|500px]]
 +
 +
The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. For example, in large metropolitan areas, the Friday NO2 exceeds the Sunday values by a factor of 1.2-1.4. This again can aid the development of higher time resolution emission inventories for NOx.
 +
 +
==Emission - Model Link==
 +
This section ....
  
  
==Weekday Weekend Emission ==
 
[[Image:071124_OMINO2_WeekdayWeekend.PNG|300px]]
 
  
The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. For example, in large metropolitan areas, the Friday NO2 exceeds the Sunday values by a factor of 1.2-1.4. This again can aid the development of higher time resolution emission inventories for NOx.
 
  
  
==Emission_Model_Link==
+
[[Image:071124_OMINO2_Emission_Model_Link.PNG|500px]]
[[Image:071124_OMINO2_Emission_Model_Link.PNG|300px]]
 
  
 
Elevation, Weekly, Diurnal Cycle....
 
Elevation, Weekly, Diurnal Cycle....
  
==Nudging Example==
+
==Observation - Model Link==
[[Image:071124_OMINO2_NudgingExample.PNG|300px]]
+
===Surface - Satellite - Model Intercomparison===
 +
This section ....
 +
 
 +
 
 +
 
 +
[[Image:071124_OMINO2_SurfOMIModelTime.PNG|500px]]
 +
 
 +
Model Observation comparison: Temporal pattern
 +
 
 +
 
 +
[[Image:071124_OMINO2_NudgingExample.PNG|500px]]
  
 
Spatial displacement, Concentration scaling...
 
Spatial displacement, Concentration scaling...
  
 
==OMI Data Issues ==
 
==OMI Data Issues ==
 +
This section ....
 +
 +
  
[[Image:071124_OMINO2_OhioNewYork.PNG|300px]]
+
[[Image:071124_OMINO2_OhioNewYork.PNG|500px]]
  
 
However, there are also significant questions to be explored.  
 
However, there are also significant questions to be explored.  
Line 65: Line 94:
 
Why is the OMI NO2/EPA Emission ratio 40% higher over the Eastern megalopolis  than over the Ohio River Valley?
 
Why is the OMI NO2/EPA Emission ratio 40% higher over the Eastern megalopolis  than over the Ohio River Valley?
  
[[Image:071124_OMINO2_TropoStratoSeparation.PNG|300px]]
+
[[Image:071124_OMINO2_TropoStratoSeparation.PNG|500px]]
  
 
Also, why does the Stratospheric NO2 from OMI exhibit ‘NO2 holes’ over the major Easter cities in some of the months?   
 
Also, why does the Stratospheric NO2 from OMI exhibit ‘NO2 holes’ over the major Easter cities in some of the months?   
 
Is the Total NO2 column split properly between the troposphere and stratosphere?
 
Is the Total NO2 column split properly between the troposphere and stratosphere?
  
==OMINO2_GlobalOMIModelMap==
+
==Observation - Emission - Model Reconciliation==
[[Image:071124_OMINO2_GlobalOMIModelMap.PNG|300px]]
+
This section ....
 +
 
 +
 
 +
[[Image:071124_OMINO2_GlobalOMIModelMap.PNG|500px]]
 +
 
 
The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison.  
 
The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison.  
This new opportunity will permit the global-scale reconciliation of the models-emissions and observations.
+
This new opportunity will permit the global-scale reconciliation of the models-emissions and observations
 
 
==Surface - Satellite - Model Intercomparison==
 
[[Image:071124_OMINO2_SurfOMIModelTime.PNG|300px]]
 
Model Observation comparison: Temporal pattern
 

Latest revision as of 07:04, December 20, 2007

Observation, Emission, Model Assimilation


Data Assimilation Framework

A framework for data assimilation was prepared for the Hemispheric Transport of Air Pollutants (HTAP) working group in support of the Rong-Range Transport of Air Pollutants (LRTP) international protocol. The essence of the integration framework is that observations, emissions, and models of air pollutants need to be assessed and iteratively reconciled as a single entity that characterizes air pollution. For more detail on the framework see the workspace of the HTAP data system.

The data assimilation framework discussed below, also incorporates many of the concepts developed at WMO workshop:Chemical Data Assimilation for the Observation of the Earth's Atmosphere WMO GAW 169. The summary of that workshop is anotated and reproduced to aid the illustrations below.


071124 ObsEmissModel.PNG071124 OEM Links.PNG071124 OEM Networking.PNG

The 2007 Interim Report [1], the available HTAP-relevant global models, observations and emissions were assessed. The HTAP community has made particular contributions toward the intercomparison of global models.

The 2009 HTAP Assessment seeks to reconcile the models with observations and emissions.

This broader reconciliation will require the interaction of domain experts in all three areas, as well as the seamless flow of data among the participants. A network that facilitates human-human as well as computer-computer interaction is desired.

The main goal of the HTAP network is to facilitate the human and data connectivity. Given the connectivity, we wish to enable the participants with shared tools and methods.

Observation-Emision Links

This section ....


071124 OMINO2 Avg.PNG 071124 OMINO2 Mobile.PNG 071124 OMINO2 Point.PNG


It is now possible to develop a chemical climatology (2004-7) of tropospheric NO2 based on routine daily satellite observations. The data show a highly patchy pattern over the Contiental US. Such data can aid the understanding of NO2 sources, atmospheric dynamics and potential impacts on human health and welfare.

Superposition of mobile emission sources on the climatotlogical OMI NO2 shows that most of the observed NO2 hotspots are indeed over metropolitan areas where automotive emissions of NOxare domiant.

A broader elevated tropospheric NO2 is observed over the Ohio River valley, where a string of power plants are responsible for significant NOx emissions. However, additional hotspots are also observed over known individual power plants in the western and southeastern US.

Point Sources over the Western US

071124 OMINO2 PointWest.PNG 071124 OMINO2 PointWestPoint.PNG

In the Western US, individual power plants, most notable the Four Corners plant, are clearly discernable by impact on their surroundings

Georgia and Idaho Smoke NO2 Emisssion

071124 OMINO2 GASmokeAvg.PNG 071124 OMINO2 GASmokeMobil.PNG

Non-industrial sources of NOx are also detectable in the OMI NO2 climatology. The impact of the S. Georgia fire in May 2007 is clearly quantifyable.

It is evident, that the fire emission can be spatially separated from the urban and power plant emissions.

071124 OMINO2 IdahoSmoke.PNG

The regular biomass burning in the Northwestern US has also quantifiable impact on the tropospheric NO2. Such data can be evaluated to generate improved emission inventories for NOx.

Weekday Weekend Emission

071124 OMINO2 WeekdayWeekend.PNG

The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. For example, in large metropolitan areas, the Friday NO2 exceeds the Sunday values by a factor of 1.2-1.4. This again can aid the development of higher time resolution emission inventories for NOx.

Emission - Model Link

This section ....



071124 OMINO2 Emission Model Link.PNG

Elevation, Weekly, Diurnal Cycle....

Observation - Model Link

Surface - Satellite - Model Intercomparison

This section ....


071124 OMINO2 SurfOMIModelTime.PNG

Model Observation comparison: Temporal pattern


071124 OMINO2 NudgingExample.PNG

Spatial displacement, Concentration scaling...

OMI Data Issues

This section ....


071124 OMINO2 OhioNewYork.PNG

However, there are also significant questions to be explored.

Why is the OMI NO2/EPA Emission ratio 40% higher over the Eastern megalopolis than over the Ohio River Valley?

071124 OMINO2 TropoStratoSeparation.PNG

Also, why does the Stratospheric NO2 from OMI exhibit ‘NO2 holes’ over the major Easter cities in some of the months? Is the Total NO2 column split properly between the troposphere and stratosphere?

Observation - Emission - Model Reconciliation

This section ....


071124 OMINO2 GlobalOMIModelMap.PNG

The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison. This new opportunity will permit the global-scale reconciliation of the models-emissions and observations