Hydrologist
New Mexico Water Science Center
Email:
cmoeser@usgs.gov
Office Phone:
505-830-7955
Fax:
505-830-7950
ORCID:
0000-0003-0154-9110
Location
NMWSC-Edith Blvd
6700 Edith Blvd NE
Albuquerque
, NM
87113
US
Supervisor:
Andrew J Robertson
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Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north.
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Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI). Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north. These Canopy Density and Canopy Structure Metrics were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL....
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This dataset contains input parameter and data files, as well as output files for simulations before calibration (pre-calibration) and after calibration (post-calibration) of solar radiation and potential evapotranspiration (ET) parameters. Simulated solar radiation and potential ET for nine near-native subbasins and three selected subareas [16, 71, 124] are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin developed from the National Hydrologic Model (NHM) parameter database, and model parameters after calibration (post-calibration)...
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This dataset contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to the Precipitation-Runoff Modeling System (PRMS), and baseline PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios. Projected climate data, obtained from the USGS South Central Climate Adaptation Science Center (Wooten, 2020), were generated using three general circulation models, run under three emission scenarios (RCP 2.6, RCP 4.5, RCP 8.5), and downscaled using three different methods (delta SD, equidistant quantile mapping, piecewise asynchronous regression). Together, the three models, RCPs, and downscaling methods resulted...
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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...
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