Hydrologic, atmospheric processes in the water cycle; linear systems, hydrologic response; geomorphologic description of hydrologic processes, response.
The College of Engineering's Virtual Lab provides access to all the software available to on-campus students, including Matlab and other software packages. Access the Virtual Lab at http://www.engr.colostate.edu/ens/tools/virtuallab/. If you have trouble connecting to the Virtual Lab, send an email to email@example.com.
This course has print-based exams that require a proctor. Exams may be taken at the University Testing Center at Colorado State University, or at an accredited College or University Testing Center in your area. To request to take your exam at an accredited testing site in your area, please submit a Proctor Identification Form at least two weeks prior to the first exam in the course.
This course can be applied towards:
CIVE 322 (Basic Hydrology).
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Textbook and Materials
You can remotely access the College of Engineering's Virtual Lab which provides access to all the software available to on-campus students, including Matlab and other software packages. You can find instructions on how to access the Virtual Lab at http://www.engr.colostate.edu/ens/tools/virtuallab/.
If you have trouble connecting to the Virtual Lab, please send an email to email@example.com
Dr. Jorge Ramirez received his Master of Science in Civil Engineering - Hydrology and Water Resources, M.I.T., Cambridge, MA, June 1982, and his Doctor of Philosophy in Hydrometeorology, M.I.T., Cambridge, MA, February 1988. He has been an instructor of Civil and Environmental Engineering at Colorado State University since 1990.
Dr. Ramirez' research interests include hydrometeorology, land surface/atmosphere interactions; runoff production mechanisms, river basin geomorphology, downstream hydraulic geometry and optimal channel networks; regional water balance; evapotranspiration and complementary relationships; surface interactions in Hortonian overland flow; hydrologic scaling; description of distribution and variability of mesoscale precipitation fields; and optimal irrigation scheduling.