Evaluation of four different climate sources on pavement mechanistic-empirical design and impact of surface shortwave radiation. Issue 9 (29th July 2021)

• Record Type: Journal Article
• Authors: Gopisetti, Leela Sai Praveen; Cetin, Bora; Forman, Barton A.; Durham, Stephan; Schwartz, Charles W.; Ceylan, Halil
• Is Part Of: International journal of pavement engineering. Volume 22:Issue 9(2021)
• Page Start: 1155
• Page End: 1168
• Publication Date: 2021-07-29
• Subjects: Pavement analyses -- climate effects -- Mechanistic Empirical Pavement Design Guide (MEPDG) -- Ground-Based Weather Stations (GBWS) -- Modern era Retrospective Analysis for Research and Applications (MERRA) -- North American Regional Reanalysis (NARR); Pavements -- Design and construction -- Periodicals; Highway engineering -- Periodicals; 625.805
• DOI: 10.1080/10298436.2019.1665180
• Languages: English
• ISSNs: 1029-8436

Abstract

ABSTRACT: This paper compares the predicted distresses (via in the AASHTOWare Pavement ME Design software (PMED)) of asphalt concrete (AC) and jointed plain concrete pavement (JPCP) using four different climate data sources. These sources also include the Modern Era Retrospective Analysis for Research and Application (MERRA) Versions 1.0 and 2.0 (MERRA-1 and MERRA-2). Pavement performance predictions generated using these data showed disagreement among some of the climate data sources, especially for MERRA-2. Comprehensive diurnal and other time-series analyses of the raw climate data found significant disagreements in the percent sunshine estimates. Percent sunshine is used in the PMED environmental effects model to semi-empirically estimate the downwelling shortwave radiation reaching the pavement surface. Both MERRA data (MERRA -1 and MERRA-2) independently provide direct predictions of downwelling surface shortwave radiation (SSR). The direct model predictions of SSR were used to back calculate 'synthetic' per cent sunshine for input into the PMED. The use of the synthetic per cent sunshine derived from the predicted SSR eliminated nearly all discrepancies in the predicted pavement performance using MERRA-1 versus MERRA-2 data. Based on these results, the authors recommend that SSR rather than per cent sunshine be used as a direct input to the PMED.