Atmospheric Correction Factor Development for Cosmic Ray Neutron Sensor Soil Moisture Measurements

Project Description:

This project focuses on the development and validation of algorithms to mitigate the impact of atmospheric variability on cosmic-ray neutron sensor (CRNS) soil moisture measurements. The student will investigate and implement correction factors based on atmospheric pressure and temperature data, evaluating the resulting improvement in soil moisture estimation accuracy * Cosmic ray neutron intensity is influenced by variations in atmospheric pressure and temperature. Higher atmospheric pressure generally leads to a decrease in neutron intensity, while temperature changes can affect the density of the atmosphere and thus neutron transport. * This project involves collecting high-resolution atmospheric data (pressure, temperature) concurrently with CRNS neutron count data. * Students will investigate established atmospheric correction models (e.g., those based on barometric pressure and air density) and evaluate their effectiveness in the local environment. * A key aspect is the potential to develop site-specific correction factors, considering factors like local altitude, humidity, and seasonal variations. * Statistical analysis will be crucial to quantify the impact of atmospheric corrections on the accuracy of soil moisture estimations. * This project will allow students to practice with time series data analysis, correlation studies, and model validation.

Research Area:

Space Physics

Project Level:

Masters

This Project Is Offered At The Following Node(s):

(NWU)