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Published on: September 12, 2017
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Elevation distributed micro-climatology data in a coastal glaciated watershed
Christina Bandaragoda1, Jezra Beaulieu2, Nicoleta Cristea3
1Department of Civil & Environmental Engineering, University of Washington, United States.
Data in Brief
|May 22, 2020
Summary
This study collected detailed temperature and humidity data across the Nooksack watershed, revealing non-linear temperature changes with elevation. This data will improve watershed function and salmon habitat models.
Area of Science:
- Environmental Science
- Hydrology
- Climatology
Background:
- Hydrologic models often use a single, linear annual average lapse rate.
- Understanding temperature dynamics with elevation is crucial for watershed management.
- Previous models may not capture the complexity of temperature gradients.
Purpose of the Study:
- To collect high-resolution air and ground temperature data across an elevation gradient.
- To investigate the non-linear dynamics and temporal variability of temperature with elevation.
- To improve watershed function and salmon habitat assessments.
Main Methods:
- Deployed sensors for air temperature, ground temperature, and relative humidity from 500 to 1800m.
- Sensors were placed above snow levels, shaded from sun, with ground sensors indicating snow presence.
- Collected data every 3-4 hours from December 2015 to September 2018.
Main Results:
- Collected extensive daily temperature and humidity data from 2016-2018.
- Analysis of daily mean, minimum, and maximum temperatures with elevation.
- Identified non-linear temperature gradients and temporal variability.
Conclusions:
- The collected data provide insights into complex temperature dynamics in the Nooksack watershed.
- Findings can refine hydrologic models by incorporating non-linear lapse rates.
- Improved models will better support watershed function and salmon habitat preservation.
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