Filters: partyWithName: C David Moeser (X) > Extensions: Citation (X)
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The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate...
Categories: Publication;
Types: Citation
Modeling forest change effects on snow is critical to resource management. However, many models either do not appropriately model canopy structure or cannot represent fine‐scale changes in structure following a disturbance. We applied a 1 m2 resolution energy budget snowpack model at a forested site in New Mexico, USA, affected by a wildfire, using input data from lidar to represent prefire and postfire canopy conditions. Both scenarios were forced with 37 years of equivalent meteorology to simulate the effect of fire‐mediated canopy change on snowpack under varying meteorology. Postfire, the simulated snow distribution was substantially altered, and despite an overall increase in snow, 32% of the field area displayed...
Categories: Publication;
Types: Citation
Accurately modeling the effects of variable forest structure and change on snow distribution and persistence is critical to water resource management. The resolution of many snow models is too coarse to represent heterogeneous canopy structure in forests, and therefore, most models simplify forest effects on snowpack mass and energy budgets. To quantify the loss of snowpack prediction from simplifications of forest canopy-mediated processes, we applied a high-resolution energy balance snowpack model at two forested sites at a fine (1 m2) and coarse (100 m2) spatial resolution. Simulating open and forested areas separately, as is done in many land surface models (LSMs), leads to biases between the coarse and fine-scale...
Categories: Publication;
Types: Citation
Water availability in the Upper Rio Grande Basin is dependent on winter and monsoon season precipitation. Consecutive years of drought and above average temperatures have diminished water supply and increased demand for water in the southwestern United States. The increasing gap between water supply and demand is cause for concern and climate projections for the southwestern United States suggest that temperatures will continue to increase, affecting seasonal precipitation and water availability potentially widening the water supply and demand gap. To better manage current supply and prepare for possible future changes, water managers need projections of future streamflow and landscape conditions that may affect...
Categories: Publication;
Types: Citation
Water availability in the Upper Rio Grande Basin is dependent on winter and monsoon season precipitation. Consecutive years of drought and above average temperatures have diminished water supply and increased demand for water in the southwestern United States. The increasing gap between water supply and demand is cause for concern and climate projections for the southwestern United States suggest that temperatures will continue to increase, affecting seasonal precipitation and water availability potentially widening the water supply and demand gap. To better manage current supply and prepare for possible future changes, water managers need projections of future streamflow and landscape conditions that may affect...
Categories: Publication;
Types: Citation
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