DYNAMIC DOWNSCALING OF CLIMATOLOGICAL DATA IN ASSESSING CLIMATE CHANGE: IMPACT ON MANITOBA?S TRANSPORTATION INFRASTRUCTURE,Used

DYNAMIC DOWNSCALING OF CLIMATOLOGICAL DATA IN ASSESSING CLIMATE CHANGE: IMPACT ON MANITOBA?S TRANSPORTATION INFRASTRUCTURE,Used

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SKU: DADAX3838310543
Brand: LAP Lambert Academic Publishing
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Climate change is considered one of the most vital issues of our time.This research has been carried out to develop climate change scenarios on a much ?ner spatial and temporal scale that can be used to address impacts on transportation infrastructure due to climate change.Dynamic downscaling techniques using a mesoscale weather prediction model has been used,where ?ner resolution climate information is derived from coarser resolution Global Climate Model (GCM) output .In this study, Pennsylvania State University / National Center for Atmospheric Research (PSU/NCAR) mesoscale model , known as MM5 is used for dynamic downscaling. A coupledl and surface model NOAH is used with MM5. National Centers for Environmental Prediction (NCEP) reanalysis data has been used to validate the model.Surface temperature and dew point temperature have been derived from a validation run.This run is compared with measured station data where correlation coe?cients were found to be 0.885 and 0.801, respectively. Through good agreement with observations in present climate, MM5 was extended to investigate downscaling from climate change scenarios.

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