Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed
Abstract
Evapotranspiration (ET) is a key component of the water balance, which influences hydrometeorology, water resources, carbon and other biogeochemical cycles, and ecosystem diversity. This study aims to investigate the spatio-temporal variations of ET at the East River watershed in Colorado and analyze the factors that control these variations. ET was acquired using the community land model (CLM) simulations and was compared with the values estimated using Fu’s equation and a watershed-scale water balance equation. The simulation results showed that 55% of annual precipitation in the East River is lost to ET, in which 75% of the ET comes from the summer months (May to September). We also found that the contribution of transpiration to the total ET was ~50%, which is much larger than that of soil evaporation (32%) and canopy evaporation (18%). Spatial analysis indicated that the ET is greater at elevations of 2950–3200 m and lower along the river valley (<2750 m) and at the high elevations (>3900 m). A correlation analysis of factors affecting ET showed that the land elevation, air temperature, and vegetation are closely correlated and together they govern the ET spatial variability. The results also suggested that ET in areas with more finely textured soil is slightly larger than regions with coarse-texture soil. This study presents a promising approach to the assessment of ET with a high spatiotemporal resolution over watershed scales and investigates factors controlling ET spatiotemporal variations.
Local Knowledge Graph (35 entities)
Related Works
Items connected by shared entities, co-authorship, citations, or semantic similarity.
A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration
The East River, Colorado, Watershed: A mountainous community testbed for improving predictive understanding of multiscale hydrological-biogeochemical dynamics
Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset.
Advanced monitoring of soil-vegetation co-dynamics reveals the successive controls of snowmelt on soil moisture and on plant seasonal dynamics in a mountainous watershed
Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data
Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data
Atmospheric Carrying Capacity of the Gunnison Valley, Colorado
Soil and Water Conservation in Colorado
Colorado?s Alpine Ecosystem Health ? A Case Study on San Juan, Sawatch, and West Elk Mountains
Cited By (39 times, 13 in Knowledge Hub)
Recent Upper Colorado River Streamflow Declines Driven by Loss of Spring Precipitation
Hydrological control of rock carbon fluxes from shale weathering
Advanced monitoring of soil-vegetation co-dynamics reveals the successive controls of snowmelt on soil moisture and on plant seasonal dynamics in a mountainous watershed
Evaluating 3 decades of precipitation in the Upper Colorado River basin from a high-resolution regional climate model
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature
Statistical framework to assess long-term spatio-temporal climate changes: East River mountainous watershed case study
Quantifying Subsurface Flow and Solute Transport in a Snowmelt-Recharged Hillslope With Multiyear Water Balance
A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration
The Colorado East River Community Observatory Data Collection
A hybrid data-model approach to map soil thickness in mountain hillslopes
The importance of interflow to groundwater recharge in a snowmelt-dominated headwater basin
Depth- and time-resolved distributions of snowmelt-driven hillslope subsurface flow and transport and their contributions to surface waters.
Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado
References (29)
29 references to works outside the Knowledge Hub
