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November 27, 2013, at 12:46 PM by sschott -
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November 27, 2013, at 12:45 PM by sschott -
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November 27, 2013, at 12:44 PM by sschott -
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November 27, 2013, at 09:58 AM by cgerbig -
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November 27, 2013, at 09:58 AM by cgerbig -
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November 27, 2013, at 09:52 AM by cgerbig -
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February 15, 2013, at 02:50 PM by sschott -
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October 06, 2011, at 10:53 AM by tkoch -
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ICOS, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

to:

STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

October 06, 2011, at 10:52 AM by tkoch -
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STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

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ICOS, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

April 29, 2010, at 03:33 PM by tkoch -
April 29, 2010, at 02:57 PM by tkoch -
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April 29, 2010, at 02:57 PM by tkoch -
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April 29, 2010, at 02:56 PM by tkoch -
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April 29, 2010, at 02:56 PM by tkoch -
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April 29, 2010, at 02:56 PM by tkoch -
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April 29, 2010, at 02:55 PM by tkoch -
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April 29, 2010, at 02:52 PM by tkoch -
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April 29, 2010, at 02:46 PM by tkoch -
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April 29, 2010, at 02:45 PM by tkoch -
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March 19, 2010, at 11:44 AM by tkoch -
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March 19, 2010, at 11:44 AM by tkoch -
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Developers

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March 19, 2010, at 11:43 AM by tkoch -
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April 06, 2009, at 12:57 PM by cgerbig -
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StrongFigures from recent STILT runs (more in the Image gallery)

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Example of a STILT simulation (more in the Image gallery)

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Example of a STILT simulation for footprints (left) and CO mixing ratios (right) at the Bialistok tall tower observatory in eastern Poland. This shows the use of STILT to determine source regions of trace gases.

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STILT calculated footprints (left) and CO mixing ratios (right) at the Bialistok tall tower observatory in eastern Poland. This shows the use of STILT to determine source regions of trace gases.

April 06, 2009, at 12:56 PM by cgerbig -
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StrongFigures from recent STILT runs (more in the Image gallery)

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April 06, 2009, at 12:07 PM by cgerbig -
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Example of a STILT simulation for footprints (left) and CO mixing ratios (right) at the Bialistok tall tower observatory in eastern Poland

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Example of a STILT simulation for footprints (left) and CO mixing ratios (right) at the Bialistok tall tower observatory in eastern Poland. This shows the use of STILT to determine source regions of trace gases.

April 06, 2009, at 12:05 PM by cgerbig -
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April 06, 2009, at 12:04 PM by cgerbig -
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STILT simulation for Bialistok tall tower

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Example of a STILT simulation for footprints (left) and CO mixing ratios (right) at the Bialistok tall tower observatory in eastern Poland

April 06, 2009, at 12:03 PM by cgerbig -
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April 06, 2009, at 11:50 AM by sschott -
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Images, animated gifs

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April 03, 2009, at 02:08 PM by 195.37.229.27 -
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(:cellnr:) http://intra/~rkretsch/EU10_LCC_proposal_3.png Figure 4: proposal 3 for LCC grid

April 03, 2009, at 02:06 PM by 195.37.229.27 -
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(:cellnr:) http://www.bgc-jena.mpg.de/bgc-systems/projects/stilt/pmwiki/footprints_BIK.gif STILT simulation for Bialistok tall tower

(:cellnr:) http://intra/~rkretsch/EU10_LCC_proposal_3.png Figure 4: proposal 3 for LCC grid

March 19, 2009, at 02:37 PM by 195.37.229.27 -
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STILT is actively developed by a group of researchers at Harvard University, MPI-Jena, University of Waterloo, and Atmospheric & Environmental Research (AER).

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STILT is actively developed by a group of researchers at Harvard University, MPI-Jena, University of Waterloo, and Atmospheric & Environmental Research (AER).

Images, animated gifs

Developers logos

March 19, 2009, at 02:35 PM by 195.37.229.27 -
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STILT is being used by a growing community for interpreting trace gas measurements made at ground based stations, on airborne platforms, as well as from remote sensing. Current applications of STILT focus on greenhouse gases and other trace gases, where it is used with high resolution emission inventories and biospheric flux models to provide insight on regional scale budgets.

to:

STILT is being used by a growing community for interpreting trace gas measurements made at ground based stations, on airborne platforms, as well as from remote sensing. Current applications of STILT focus on greenhouse gases and other trace gases, where it is used with high resolution emission inventories and biospheric flux models to provide insight on regional scale budgets.

March 19, 2009, at 02:34 PM by 195.37.229.27 -
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STILT is being used by a growing community for interpreting trace gas measurements made at ground based stations, on airborne platforms, as well as from remote sensing. Current applications of STILT focus on greenhouse gases and other trace gases, where it is used with high resolution emission inventories and biospheric flux models to provide insight on regional scale budgets.

to:

STILT is being used by a growing community for interpreting trace gas measurements made at ground based stations, on airborne platforms, as well as from remote sensing. Current applications of STILT focus on greenhouse gases and other trace gases, where it is used with high resolution emission inventories and biospheric flux models to provide insight on regional scale budgets.

March 19, 2009, at 02:23 PM by 195.37.229.27 -
March 19, 2009, at 02:16 PM by 195.37.229.27 -
March 19, 2009, at 01:58 PM by 195.37.229.27 -
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STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

to:

STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.

STILT is being used by a growing community for interpreting trace gas measurements made at ground based stations, on airborne platforms, as well as from remote sensing. Current applications of STILT focus on greenhouse gases and other trace gases, where it is used with high resolution emission inventories and biospheric flux models to provide insight on regional scale budgets.

STILT is actively developed by a group of researchers at Harvard University, MPI-Jena, University of Waterloo, and Atmospheric & Environmental Research (AER).

March 19, 2009, at 01:53 PM by 195.37.229.27 -
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Welcome to PmWiki!

A local copy of PmWiki's documentation has been installed along with the software, and is available via the documentation index.

To continue setting up PmWiki, see initial setup tasks.

The basic editing page describes how to create pages in PmWiki. You can practice editing in the wiki sandbox.

More information about PmWiki is available from http://www.pmwiki.org .

to:

STILT, the Stochastic Time-Inverted Lagrangian Transport model, is a Lagrangian particle dispersion model (LPDM) for atmospheric transport. Its primary purpose is to derive the upstream influence region on atmospheric measurement locations. In other words, it is a fast tool to retrieve the adjoint of tracer transport, i.e. the sensitivity of atmospheric tracer mixing ratio measured at receptor point with respect to upstream surface fluxes. STILT is driven by meteorological fields (most important wind fields) from a variety of weather prediction models (ECMWF, WRF, RAMS, ...), for both analysis of past observations or for measurement planning purposes using forecasts. STILT includes turbulence as a stochastic process.