Project Info
Evaluating surface water conditions using remote sensing and in-situ measurements
Eric Anderson
ejanderson@mines.edu
Project Goals and Description:
The goal of this project is to use available remote sensing and in-situ data to evaluate surface water forecast models. Models of surface water (rivers, lakes, coastal ocean) help protect life and property, as well as help us understand the role of these systems in weather and climate. You will use available data sources to assess how good available forecast models of these systems perform under a variety of conditions.
More Information:
Grand Challenge: Not applicable.
Below are some papers with relevant information to the project:
https://rdcu.be/cgP8m
https://doi.org/10.1029/2022JC018611
https://gmd.copernicus.org/articles/15/6659/2022/gmd-15-6659-2022.pdf
https://doi.org/10.3390/jmse10070932
https://doi.org/10.1088/1748-9326/ac1a3a
Primary Contacts:
Eric Anderson, ejanderson@mines.edu
Student Preparation
Qualifications
Experience and comfort with a programming language for scientific analysis (e.g., R, python, matlab).
Coursework in water resources, hydrology, or fluid mechanics
TIME COMMITMENT (HRS/WK)
3-5
SKILLS/TECHNIQUES GAINED
Scientific analysis and computing, experience with forecast models of surface water
MENTORING PLAN
Weekly meetings/touch-base, and the student is also welcome to attend weekly lab group meetings to get additional experience.
PREFERRED STUDENT STATUS
Junior
Senior