Details:

Creators:
Heitzman, Michael ; Wei, Geng
Heitzman, Michael ; Wei, Geng Less -
Corporate Contributors:
Louisiana Transportation Research Center
Subject/TRT Terms:
[+]
Climate Input Global Climate Model Model Atmosphere Pavement Design Pavement Performance Predicted Pavement
Resource Type:
Tech Report
Geographical Coverage:
Louisiana
Corporate Publisher:
Louisiana Transportation Research Center
Abstract:
The new pavement design process (originally MEPDG, then DARWin-ME, and now Pavement ME Design) requires two types

of inputs to infl uence the prediction of pavement distress for a selected set of pavement materials and structure. One input is

traffi c, more specifi cally, truck axle loadings. The other input is climate, a multi-year set of hourly data including temperature,

precipitation, wind speed, humidity, and percent sunshine. The climate data is then transformed into temperature gradients that

infl uence pavement material properties. For this study, the term MEPDG is used and refers to all of the software versions and name

changes.

When the MEPDG was initially launched in 2007, the climate fi les were generally 5-10 years of data, some were incomplete records

(gaps in the continuous hourly data), and files started with climate data in the 1990s. As the MEPDG developed, more data was

added to many files and incomplete files were corrected or omitted. The most common geographic locations of MEPDG climate

data files are associated with regional and large airports. Although there were 11 files, the distribution of the files across the state

was limited. A pavement analysis would require the use of a climate record that may not be near the project location and would

require the same climate data to be repeated to complete a 20- to 40-year pavement distress prediction period.

This study applies climate science to improve the depth and length of climate data so the

pavement engineer can apply the best climate input data when examining a pavement design.

There is a deeper body of climate history and significantly more climate stations to draw from.

The climatologist can assemble longer, higher quality climate history files and convert those files

using global climate models into data representing a predicted future climate.

The objective of this study was to apply the best available climate science to build climate input

files for use in the MEPDG. The objective was expanded to consider the naturally occurring

cycles in climate temperature and precipitation.

The first step was to generate a historic climate file for each parish in Louisiana and assemble

the climate data in electronic format required for input into MEPDG model. By building a climate

file for each parish, a pavement designer can simply select the climate file for the parish where a

project is located. The appropriate historic length of time for these data was established as 1970

through 2009. Every parish does not have a site with an observational record for that period, so

an interpolation method in space and time was used to fill in data gaps.

The Automated Surface Observation System (ASOS) and the Cooperative Observer Program

(COOP) were two sources used to generate historical climate fi les. For the 40-year time

period and types of data needed for this study, these are the only two sources of data archives

available.


Format:
PDF
Funding:
SIO No. 30000425 / LTRC Project No. 12-2P
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:8e6c2a33f1f313b0c105ba8dfcefc82a62f19aeece257890f6a7d078754dc5bb
Download URL:
https://rosap.ntl.bts.gov/view/dot/31932/dot_31932_DS1.pdf
File Type:

Supporting Files

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