Abstract

Along with measurements and observations, models (both physical and mathematical) are among the most important tools used by Earth scientists to make hypotheses, test hypotheses, and form predictions. These models are based upon information and theories already believed to be true. As newer and better information is discovered, the models can become more accurate and precise. Mathematical models, sometimes called numerical models, also rely on technology; as the technology used to make models becomes more advanced, more complex models can be made and used to test more variables at once. This report examines a new mathematical model called Noah-Multiparameterization (Noah-MP) as a possible new Land System Model (LSM). To assess this model, atmospheric and hydrological data collected at multiple sites were obtained. The data were then run through the Noah-MP model to generate simulated data. The simulated data were then compared to observed data at the same site during the same time period to determine if the model produced reasonable figures. Initial results indicate the model’s simulated data are relatively close to observed data.

Disciplines

Earth Sciences

Mentor

Dr. Guo-Yue Niu

Lab site

Biosphere 2 (B2)

Funding Acknowledgement

*This material is based upon work supported by the National Science Foundation through the Robert Noyce Teacher Scholarship Program under grant# 1546150. Any opinions, finding, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The research was made possible by the California State University STEM Teacher Researcher Program.

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URL: http://digitalcommons.calpoly.edu/star/400

 

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