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From page 82... ...
4.2 Suggested Research 4.2.1 Summary of Enhancements and Implementation Steps 4.2.1.1 Additional MERRA-2 Variables Based on this research, the following additional variables from the MERRA-2 database related to the overall energy balance are suggested: • High-priority variables: Hourly shortwave radiation, longwave radiation variables from the MERRA-2 LAND Diagnostics Table • Lower-priority variables: Hourly latent heat, sensible heat, and ground heat variables from the MERRA-2 LAND Diagnostics Table Currently, the EICM/PMED selects and downloads the hourly climate data directly from the LTPP InfoPave website. The data obtained from LTPP InfoPave is formatted to what the PMED expects.
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From page 83... ...
This consideration builds upon the collaboration between AASHTOWare and LTPP InfoPave and expands it. 4.2.2 Proposed Changes to the AASHTO MEPDG MOP The AASHTO MEPDG MOP does not currently provide an in-depth overview of all the equations, models, and methods included in the AASHTOWare PMED software and focuses more on the general design method and procedures that apply to mechanistic empirical pavement design.
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From page 84... ...
– For example, adjust the climate data to include a number of randomly spaced extreme events over a design or analysis period. One event could consist of a prolonged extreme rainfall event over a 7-day period; another event could consist of extreme heat spanning a month or more or an extreme cold temperature event in a region where it is not typically expected, similar to The Great Texas Freeze in 2021.
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From page 85... ...
Conclusions and Suggested Research 85 Figure 37. Example of roadway network-specific interpolated climate locations.
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