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Temperature lapse rate estimation and snowmelt runoff simulation in a high-altitude basin
Keke Zhao1, Dingzhi Peng2, Yu Gu1
1College of Water Sciences, Beijing Normal University, Beijing, China.
Scientific Reports
|August 10, 2022
Summary
This study estimates the near-surface air temperature lapse rate in the Lhasa River Basin, finding an annual average of 0.62°C/100m. Seasonal variations were observed, with higher rates in May and lower rates from September to January.
Area of Science:
- Hydrology
- Climatology
- Environmental Science
Background:
- Near-surface air temperature lapse rate is crucial for hydrological modeling in alpine regions.
- Alpine basins often lack sufficient ground-based observational data for accurate lapse rate estimation.
- Understanding vertical temperature changes is vital for climate and water resource studies.
Purpose of the Study:
- To estimate the near-surface air temperature lapse rate in the Lhasa River Basin (LRB) using a decadal dataset.
- To analyze the seasonal and annual variations of the air temperature lapse rate in the LRB.
- To investigate the relationship between snow cover distribution and air temperature variations.
Main Methods:
- Utilized a monthly air temperature dataset (2001-2015) for the LRB.
- Derived the air temperature dataset by establishing relationships between ground-observed temperatures and MODIS land surface temperatures.
- Calculated the annual average and monthly air temperature lapse rates.
Main Results:
- The estimated annual average air temperature lapse rate for the LRB was approximately 0.62°C/100m.
- Monthly lapse rates varied seasonally between 0.45-0.8°C/100m, peaking in May and reaching minimums from September to January.
- Seasonal snow cover at lower altitudes correlated with air temperature variations, while permanent snow cover was observed above 5000m.
Conclusions:
- The study provides valuable data on the near-surface air temperature lapse rate in a data-scarce alpine basin.
- Seasonal and altitudinal variations in temperature lapse rates and snow cover have been quantified.
- Findings contribute to improved hydrological process modeling and climate change impact assessments in high-altitude environments.
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