ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS
Recent studies of ice cores from Greenland and Antarctica have proven that both temperature and CO2 content of the earth’s atmosphere followed a regular 100,000 year cycle of change and that they are closely correlated. Moreover, the observed increase of CO2 in the atmosphere exceeds the predicted v...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.381.9449 2023-05-15T13:34:26+02:00 ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS Prasun K Gangopadhyay Freek Van Der Meer Paul Van Dijk The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.9449 http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.9449 http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf Over the past two centuries ant text ftciteseerx 2016-09-18T00:25:24Z Recent studies of ice cores from Greenland and Antarctica have proven that both temperature and CO2 content of the earth’s atmosphere followed a regular 100,000 year cycle of change and that they are closely correlated. Moreover, the observed increase of CO2 in the atmosphere exceeds the predicted values extrapolated from historical data. Other than industrialization and rapid urbanization, geo-natural hazards such as spontaneous combustion of coal contribute a considerable amount of CO2 to the atmosphere. To establish a functional environmental model, it is important to quantify the amount of Green House Gas (GHG) emissions on a local scale. Radiative transfer codes, such as FASCOD (Fast Atmospheric Signature Code) with HITRAN2K (High Resolution Transmission) spectral database can simulate atmospheric transmission and path radiance with customized gas composition (CO2, water vapour, CO etc.) and concentration to understand the phenomena in a specific wavelength region. In the present study a number of atmospheric models were simulated with different CO2 concentrations (ppmv) with combination of water vapour and other atmospheric gases such as CO, CH4, N2O, SO2 etc., to find out the interference patterns of these gases over CO2 absorption bands. The transmission features of these gas combinations Text Antarc* Antarctica Greenland Unknown Greenland |
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Over the past two centuries ant |
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Over the past two centuries ant Prasun K Gangopadhyay Freek Van Der Meer Paul Van Dijk ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
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Over the past two centuries ant |
description |
Recent studies of ice cores from Greenland and Antarctica have proven that both temperature and CO2 content of the earth’s atmosphere followed a regular 100,000 year cycle of change and that they are closely correlated. Moreover, the observed increase of CO2 in the atmosphere exceeds the predicted values extrapolated from historical data. Other than industrialization and rapid urbanization, geo-natural hazards such as spontaneous combustion of coal contribute a considerable amount of CO2 to the atmosphere. To establish a functional environmental model, it is important to quantify the amount of Green House Gas (GHG) emissions on a local scale. Radiative transfer codes, such as FASCOD (Fast Atmospheric Signature Code) with HITRAN2K (High Resolution Transmission) spectral database can simulate atmospheric transmission and path radiance with customized gas composition (CO2, water vapour, CO etc.) and concentration to understand the phenomena in a specific wavelength region. In the present study a number of atmospheric models were simulated with different CO2 concentrations (ppmv) with combination of water vapour and other atmospheric gases such as CO, CH4, N2O, SO2 etc., to find out the interference patterns of these gases over CO2 absorption bands. The transmission features of these gas combinations |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Prasun K Gangopadhyay Freek Van Der Meer Paul Van Dijk |
author_facet |
Prasun K Gangopadhyay Freek Van Der Meer Paul Van Dijk |
author_sort |
Prasun K Gangopadhyay |
title |
ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
title_short |
ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
title_full |
ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
title_fullStr |
ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
title_full_unstemmed |
ATMOSPHERIC MODELLING USING HIGH RESOLUTION RADIATIVE TRANSFER CODES AND IDENTIFICATION OF CO2 ABSORPTION BANDS TO ESTIMATE COALFIRE RELATED EMISSIONS |
title_sort |
atmospheric modelling using high resolution radiative transfer codes and identification of co2 absorption bands to estimate coalfire related emissions |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.9449 http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland |
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Antarc* Antarctica Greenland |
op_source |
http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.9449 http://www.earsel.org/workshops/IS_Warsaw_2005/papers/Atmosphere/37_Gangopadhyay_345_353.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766052731254996992 |