Predicting Climate Change in Big Bend National Park, Texas

This study uses statistical downscaling to improve the resolution of global climate model predictions of temperature and precipitation over the next 100 years in Big Bend National Park, Texas. The method is an adaptation of climate prediction by model statistics. I use historical data from 12 weather stations and the NCAR-NCAR reanalysis to build a model of the relationship between the surface and upper air, then use this model to downscale upper air output from several global climate models for several greenhouse gas emission scenarios. In this way the spatial resolution of climate change predictions is increased and maps can be produced of possible future temperature and precipitation patterns in the park.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Geography

Grantor

Texas State University-San Marcos

Year dc:date.issued

2004

Author dc:creator

• Herbert, Jonathan, M.

Advisor dc:contributor.advisor

• Dixon, Richard W. (Richard Wayne)

Committee members dc:contributor.committeemember

• Butler, David R.
• Fonstad, Mark Alan
• McComiskey, Allison

• climatic changes
• Big Bend National Park
• Texas

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10877/17686

OAI identifier oai:identifier

oai:digital.library.txst.edu:10877/17686