Publication:
Analysis of Linear Scaling Method in Downscaling Precipitation and Temperature

Simple item page
dc.contributor.authorAzman A.H.en_US
dc.contributor.authorTukimat N.N.A.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorid57212471511en_US
dc.contributor.authorid55531417400en_US
dc.contributor.authorid55636320055en_US
dc.date.accessioned2023-05-29T09:42:17Z
dc.date.available2023-05-29T09:42:17Z
dc.date.issued2022
dc.descriptionClimate change; Water resources; Weather forecasting; Bias correction; Coefficient values; Correlation coefficient; Down-scaling; Linear scaling method; Linear-scaling; Long haul; Representative concentration pathway; Statistical downscaling; Statistical downscaling model; Rain; air temperature; climate change; concentration (composition); correction; downscaling; precipitation assessment; weather forecastingen_US
dc.description.abstractClimate change is one of the greatest challenges in the 21st century that may influence the long haul and the momentary changeability of water resources. The vacillations of precipitation and temperature will influence the runoff and water accessibility where it tends to be a major issue when the interest for consumable water will increase. Statistical downscaling model (SDSM) was utilized in the weather parameters forecasting process in every 30 years range (2011-2040, 2041-2070, and 2071-2100) by considering Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5). The Linear Scaling (LS) method was carried out to treat the gaps between ground/ observed data and raw/ simulated results after SDSM. After the LS method was executed to raw/ simulated data after SDSM, the error decrease reaches over 13% for rainfall data. The Concordance Correlation Coefficient (CCC) value clarifies the correlation of rainfall amount among observed and corrected data for all three (3) RCPs categories. There are very enormous contrasts in rainfall amount during the wet season where CCC-values recorded are 0.22 and beneath (low correlation). The findings demonstrated that the rainfall amount during the dry season will contrast for all RCPs with the CCC-values are between 0.44-0.53 (moderate correlation). RCP8.5 is the pathway with the the most elevated ozone-depleting substance emanations and demonstrated that the climate change impact is going on and turn out to be more awful step by step. � 2021, The Author(s), under exclusive licence to Springer Nature B.V.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11269-021-03020-0
dc.identifier.epage179
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85119184734
dc.identifier.spage171
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119184734&doi=10.1007%2fs11269-021-03020-0&partnerID=40&md5=654524b9a2b9b3c44f29eb59d2435a41
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27297
dc.identifier.volume36
dc.publisherSpringer Science and Business Media B.V.en_US
dc.sourceScopus
dc.sourcetitleWater Resources Management
dc.titleAnalysis of Linear Scaling Method in Downscaling Precipitation and Temperatureen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS