Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak

High uncertainties in aerosol radiative forcing (ARF) arise from inaccurate estimation for aerosol optical depth (AOD) as an input parameter into Santa Barbara Discrete Ordinate Radiative Transfer (SBDART) model. Influence of AOD in ARF at the top of atmosphere (TOA) and surface over Kuching from 20...

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Published in:Pertanika Journal of Science and Technology
Main Author: Asmat A.; Jalal K.A.; Ahmad N.
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050963831&partnerID=40&md5=f44faa5675daa0892bfa95d6434c14cd
id 2-s2.0-85050963831
spelling 2-s2.0-85050963831
Asmat A.; Jalal K.A.; Ahmad N.
Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
2017
Pertanika Journal of Science and Technology
25
S8

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050963831&partnerID=40&md5=f44faa5675daa0892bfa95d6434c14cd
High uncertainties in aerosol radiative forcing (ARF) arise from inaccurate estimation for aerosol optical depth (AOD) as an input parameter into Santa Barbara Discrete Ordinate Radiative Transfer (SBDART) model. Influence of AOD in ARF at the top of atmosphere (TOA) and surface over Kuching from 2011 until 2015 was investigated using Moderate Resolution Imaging Spectroradiometer (MODIS). Multi plane regression technique was used to retrieve AOD from MODIS (AODMODIS) by using different statistics (mean and standard deviation (MODISµ±σ) and relative absolute error (MODISRAE) for accuracy assessment in spatial averaging and compared with Aerosol Robotic Network (AERONET). The relationship between AODMODIS and AOD from AERONET (AODAERONET) showed R2 value for MODISµ±σ and MODISRAE is 0.906 and 0.932, respectively. AODMODIS over Kuching tends to underestimate AOD during low variations and overestimate AOD when aerosol loading is higher. The retrieval of AODMODIS was used as an input parameter into SBDART for ARF estimation and compared with ARF from AERONET. When using AODMODIS from MODISµ±σ, the ARF at TOA was between-5.95 Wm-2 and 0.89 Wm-2 and at the surface was from-389.7 Wm-2 and-31.4 Wm-2 while for MODISRAE, ARF value at the surface was from-392.3 Wm-2 and-27.3 Wm-2 while at TOA was between-5.89 Wm-2 and 0.98 Wm-2. Average ARF value within the atmosphere for both MODISµ±σ and MODISRAE were 151.6 Wm-2 and 130.4 Wm-2, respectively. There is a poor relationship between the SBDART and AERONET for MODISµ±σ where R2 is 0.33, while strong relationship is observed for MODISRAE with R2 value at 0.724. © 2017 Universiti Putra Malaysia Press.
Universiti Putra Malaysia Press
1287680
English
Article

author Asmat A.; Jalal K.A.; Ahmad N.
spellingShingle Asmat A.; Jalal K.A.; Ahmad N.
Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
author_facet Asmat A.; Jalal K.A.; Ahmad N.
author_sort Asmat A.; Jalal K.A.; Ahmad N.
title Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
title_short Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
title_full Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
title_fullStr Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
title_full_unstemmed Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
title_sort Aerosol radiative forcing estimation using moderate resolution imaging spectroradiometer (MODIS) in Kuching, Sarawak
publishDate 2017
container_title Pertanika Journal of Science and Technology
container_volume 25
container_issue S8
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050963831&partnerID=40&md5=f44faa5675daa0892bfa95d6434c14cd
description High uncertainties in aerosol radiative forcing (ARF) arise from inaccurate estimation for aerosol optical depth (AOD) as an input parameter into Santa Barbara Discrete Ordinate Radiative Transfer (SBDART) model. Influence of AOD in ARF at the top of atmosphere (TOA) and surface over Kuching from 2011 until 2015 was investigated using Moderate Resolution Imaging Spectroradiometer (MODIS). Multi plane regression technique was used to retrieve AOD from MODIS (AODMODIS) by using different statistics (mean and standard deviation (MODISµ±σ) and relative absolute error (MODISRAE) for accuracy assessment in spatial averaging and compared with Aerosol Robotic Network (AERONET). The relationship between AODMODIS and AOD from AERONET (AODAERONET) showed R2 value for MODISµ±σ and MODISRAE is 0.906 and 0.932, respectively. AODMODIS over Kuching tends to underestimate AOD during low variations and overestimate AOD when aerosol loading is higher. The retrieval of AODMODIS was used as an input parameter into SBDART for ARF estimation and compared with ARF from AERONET. When using AODMODIS from MODISµ±σ, the ARF at TOA was between-5.95 Wm-2 and 0.89 Wm-2 and at the surface was from-389.7 Wm-2 and-31.4 Wm-2 while for MODISRAE, ARF value at the surface was from-392.3 Wm-2 and-27.3 Wm-2 while at TOA was between-5.89 Wm-2 and 0.98 Wm-2. Average ARF value within the atmosphere for both MODISµ±σ and MODISRAE were 151.6 Wm-2 and 130.4 Wm-2, respectively. There is a poor relationship between the SBDART and AERONET for MODISµ±σ where R2 is 0.33, while strong relationship is observed for MODISRAE with R2 value at 0.724. © 2017 Universiti Putra Malaysia Press.
publisher Universiti Putra Malaysia Press
issn 1287680
language English
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