Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature

Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature

This study demonstrates a comparison of the Weather Research Forecast (WRF) simulation results using the original values of satellite derived land surface albedo (LSA) and modified LSA as compared to the in-situ observations from the CAQMs located in Putrajaya, Malaysia. The comparisons were execute...

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Published in:International Conference on Space Science and Communication, IconSpace
Main Author: Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
Format: Conference paper
Language:English
Published: IEEE Computer Society 2015
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962547423&doi=10.1109%2fIconSpace.2015.7283787&partnerID=40&md5=265b49a6961c6a7130ca623dc08025e6
id 2-s2.0-84962547423
spelling 2-s2.0-84962547423
Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
2015
International Conference on Space Science and Communication, IconSpace
2015-September

10.1109/IconSpace.2015.7283787
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962547423&doi=10.1109%2fIconSpace.2015.7283787&partnerID=40&md5=265b49a6961c6a7130ca623dc08025e6
This study demonstrates a comparison of the Weather Research Forecast (WRF) simulation results using the original values of satellite derived land surface albedo (LSA) and modified LSA as compared to the in-situ observations from the CAQMs located in Putrajaya, Malaysia. The comparisons were executed diurnally. The impacts of localized LSA were quantitatively analyzed using Weather Research Forecasting (WRF) the Advance Research WRF WRF-ARW dynamic solver using the Near Surface Temperature output. It was identified that an improvement of simulation and prediction can be acquired if the LSA uncertainty requirements (0.02-0.05) climate change modelling is fulfilled. © 2015 IEEE.
IEEE Computer Society
21654301
English
Conference paper
author Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
spellingShingle Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
author_facet Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
author_sort Salleh S.A.; Latif Z.A.; Chan A.; Morris K.I.; Ooi M.C.G.; Mohd W.M.N.W.
title Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
title_short Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
title_full Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
title_fullStr Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
title_full_unstemmed Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
title_sort Weather Research Forecast (WRF) modification of land surface albedo simulations for urban Near Surface Temperature
publishDate 2015
container_title International Conference on Space Science and Communication, IconSpace
container_volume 2015-September
container_issue
doi_str_mv 10.1109/IconSpace.2015.7283787
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962547423&doi=10.1109%2fIconSpace.2015.7283787&partnerID=40&md5=265b49a6961c6a7130ca623dc08025e6
description This study demonstrates a comparison of the Weather Research Forecast (WRF) simulation results using the original values of satellite derived land surface albedo (LSA) and modified LSA as compared to the in-situ observations from the CAQMs located in Putrajaya, Malaysia. The comparisons were executed diurnally. The impacts of localized LSA were quantitatively analyzed using Weather Research Forecasting (WRF) the Advance Research WRF WRF-ARW dynamic solver using the Near Surface Temperature output. It was identified that an improvement of simulation and prediction can be acquired if the LSA uncertainty requirements (0.02-0.05) climate change modelling is fulfilled. © 2015 IEEE.
publisher IEEE Computer Society
issn 21654301
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
_version_ 1825722585823838208

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