Caitlin Martinez

PhD Student, Department of Atmospheric Sciences Teaching Assistant, Department of Geological Sciences; Frost IDSC Fellow


Curriculum vitae



Department of Atmospheric Sciences, Rosenstiel School

University of Miami



Curriculum vitae


Caitlin Martinez

PhD student
Teaching Assistant

caitmartinez@miami.edu

Department of Atmospheric Sciences
Rosenstiel School of Marine, Atmospheric & Earth Science
University of Miami
4600 Rickenbacker Causeway
Miami, FL 33149

Education

Master of Science, Hydrologic Science and Engineering

Colorado School of Mines, Golden, CO, May 2018
Thesis: Elucidating Critical Zone Process Interactions with an Integrated Hydrologic Model in a Headwaters Research Catchment 

Bachelor of Arts, Geology

University of Colorado, Boulder, CO, August 2014

Professional and Research Experience

Daniel B. Stephens & Associates, Staff Scientist II

December 2017 - May 2020
Lakewood, CO

Integrated hydrologic modeler using ParFlow-CLM and MODFLOW models to study groundwater and surface water interactions at complex geologic sites for litigation cases.

Integrated GroundWater Modeling Center (IGWMC), Graduate Research Assistant

January 2016 - May 2018
Golden, CO

Integrated hydrologic modeler (ParFlow-CLM) studying the hydrologic impacts of drought on mountain headwaters systems, specifically the role of lateral groundwater flow on the drought-tolerance of montane vegetation. Bracketed evapotranspiration estimates at the Southern Sierra Critical Zone Observatory (SSCZO) and improved NLDAS atmospheric forcing with CZO observations.

Microsoft Corporation, Geospatial Analyst

November 2014 - August 2015
Boulder, CO

Utilized proprietary software and ArcGIS to research, extract, analyze, QC, and integrate digital data and imagery published on Bing Maps and the Windows 8/8.1 Map Apps released worldwide.

University of Colorado at Boulder, Undergraduate Research Assistant

April 2014 - September 2014
Boulder, CO

Primary responsibilities included assisting a PhD Candidate with vegetative sample collection and data acquisition of percent water weight, soil moisture content, and true density.

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