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contributor authorRahul Raj Singh
contributor authorSyed Waqar Haider
contributor authorMuhammed Emin Kutay
contributor authorBora Cetin
contributor authorNeeraj Buch
date accessioned2022-08-18T12:35:21Z
date available2022-08-18T12:35:21Z
date issued2022/07/13
identifier otherJPEODX.0000396.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286866
description abstractDetailed climatic data are essential for analyzing and designing pavements using AASHTOWare pavement mechanistic-empirical design (PMED). Hourly climatic data are used in the enhanced integrated climatic model in the PMED to adjust material properties. The current PMED V2.6.0 has been updated using the North American Regional Reanalysis (NARR) database for rigid pavements and the Modern Era Retrospective Analysis for Research and Applications (MERRA) climatic data for flexible pavements. Because several climatic data sources are available, it is helpful to establish the most viable data in the PMED. In a recent study, the Michigan DOT (MDOT) enhanced the quality of NARR data to improve data coverage and fill data gaps. This paper compares the climatic data for the enhanced NARR stations and closest MERRA-2 stations in Michigan to investigate the differences between the two data sources. The NARR and MERRA-2 climatic data have been validated with the two National Oceanic and Atmospheric Administration (NOAA) stations in Michigan to evaluate the accuracy of the data sources. The paper also evaluated the two data sources for quantifying the effects of climatic inputs on predicted pavement performance. The relative impacts of climatic inputs based on predicted performance have also been documented. The results show that MERRA and NARR climatic data are comparable for air temperature, humidity, and wind speed. Percent sunshine shows a low correlation, and precipitation data is substantially different. MERRA and NARR data quality is similar in Michigan with the NOAA data. In flexible and rigid pavements, performance predictions are substantially different for thermal and transverse cracking, respectively. These differences can be attributed to hourly variations in sunshine data. Temperature and percent sunshine data are the most critical climate inputs for flexible and rigid pavements. Considering the advantages of MERRA data, it is a suitable climatic data source for both flexible and rigid pavements.
publisherASCE
titleImpact of Climatic Data Sources on Pavement Performance Prediction in Michigan
typeJournal Article
journal volume148
journal issue3
journal titleJournal of Transportation Engineering, Part B: Pavements
identifier doi10.1061/JPEODX.0000396
journal fristpage04022048
journal lastpage04022048-12
page12
treeJournal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 003
contenttypeFulltext


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