C. David Moeser
Hydrologist, New Mexico Water Science Center
Science and Products
The Role of Forest Structure in Regulating Water Availability and Implications for Natural Resources and Ecosystem Function
Wildfire, drought, and insects are reshaping forests in the Western United States in a manner that is being exacerbated by warming temperatures. Disturbance events such as these can significantly alter the amount of land that is covered by forest in an area or region. Consequently, changes in forest cover from disturbance can impact water runoff conditions leading to dangerous flooding, erosion, a
Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment
In the Western U.S., approximately 65% of the water supply comes from forested regions with most of the water that feeds local rivers coming from snowmelt that originates in mountain forests. The Rio Grande headwaters (I.e. the primary water generating region of the Rio Grande river) is experiencing large changes to the landscape primarily from forest fires and bark beetle infestations. Already, 8
Analyzing the Response of Waterflow to Projected Climate Conditions in the Upper Rio Grande Basin
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 this region. The increasing gap between water supply and demand is cause for concern. Climate projections for the southwestern and south central United States suggest that
Simulation of Pre- and Post-Fire Streamflow in the Upper Rio Hondo Basin, NM
The 2012 Little Bear Fire burned 44,000 acres in the upper Rio Hondo Basin in south-central New Mexico. Landscape in the Basin ranges from mixed conifer forests at higher elevations (12,000 ft) to desert shrubland at lower (5,200 ft) elevations. Burned areas are at risk of substantial post-wildfire erosion and flash floods. USGS post-wildfire analysis estimated 70% of the burned area had a high...
The Effects of Wildfire on Snow Water Resources under Multiple Climate Conditions
The Colorado and Rio Grande Rivers provide drinking water to millions of people in the Southwest and South Central U.S. Snowmelt accounts for 70% of streamflow in these rivers, meaning that water use downstream is directly impacted by snow accumulation and snowmelt patterns in the mountains. Mountain forests are a critical part of the hydrologic cycle that feeds these rivers, providing water suppl
Snow Measurements in Specific Canopy Structure Regimes for April 9, 2024, North of Coal Creek, San Juan Mountains, Colorado, USA
These data include snow depth and snow water equivalent (SWE) for a field campaign on April 9, 2024. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in southwestern Colorado, USA. These measurements were taken to look at the relationship between snow accumulation and snow
High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar
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 (m) resolution. The aerial lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the U.S. Geological Survey (USGS) from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy density
Snow Measurements in Specific Canopy Structure Regimes for the 2022-2023 Water Years, North of Coal Creek, San Juan Mountains, Colorado, USA
These data include snow depth and snow water equivalence (SWE) for the 2022 and 2023 water years during 16 separate field campaigns. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in Southwest Colorado, USA. These measurements were taken to look at the relationship betwe
Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) in the Upper Rio Grande Basin
The Rio Grande Basin Study (Basin Study) is a stakeholder-led project funded by the U.S. Bureau of Reclamation to develop climate adaptation strategies to address the growing gap between water supply and demand in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas. The role of the USGS in the Basin Study is to simulate historic and future streamflow using projected climate data from 27
Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin
This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potentia
Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions
This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 201
Model input and output for prefire and postfire hydrologic simulations in the Upper Rio Hondo Basin, New Mexico using the Precipitation-Runoff Modeling System (PRMS)
This data release contains inputs for and outputs from hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Input data include parameter files for two PRMS models calibrated to prefire co
Modeling forest snow using relative canopy structure metrics
Snow and watershed models typically do not account for forest structure and shading; therefore, they display substantial uncertainty when attempting to account for forest change or when comparing hydrological response between forests with varying characteristics. This study collected snow water equivalent (SWE) measurements in a snow-dominated forest in Colorado, the United States, with variable c
Authors
C. David Moeser, Graham A. Sexstone, Jake Kurzweil
Upper Rio Grande Basin water-resource status and trends: Focus area study review and synthesis
The Upper Rio Grande Basin (URGB) is a critical international water resource under pressure from a myriad of climatic, ecological, infrastructural, water-use, and legal constraints. The objective of this study is to provide a comprehensive assessment of the spatial distribution and temporal trends of selected water-budget components (snow processes, evapotranspiration (ET), streamflow processes, a
Authors
Kyle R. Douglas-Mankin, Christine Rumsey, Graham A. Sexstone, Tamara I. Ivahnenko, Natalie Houston, Shaleene Chavarria, Gabriel B. Senay, Linzy K. Foster, Jonathan V. Thomas, Allison K. Flickinger, Amy E. Galanter, C. David Moeser, Toby L. Welborn, Diana E. Pedraza, Patrick M. Lambert, Michael Scott Johnson
Streamflow response to potential changes in climate in the Upper Rio Grande Basin
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
Authors
C. David Moeser, Shaleene B. Chavarria, Adrienne M. Wootten
Accounting for fine-scale forest structure is necessary to model snowpack mass and energy budgets in montane forests
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 simplif
Authors
Patrick D. Broxton, C. David Moeser, Adrian Harpold
Simulating hydrologic effects of wildfire on a small sub-alpine watershed in New Mexico, U.S.
Streamflow records available before and after wildfire in a small, mixed conifer, sub-alpine monsoonal dominated watershed in New Mexico provided a unique opportunity to calibrate a watershed model (PRMS) for pre- and postfire conditions. The calibrated model was then used to simulate the hydrologic effects of fire. Simulated postfire surface runoff averaged 14.7 times greater than prefire for the
Authors
C. David Moeser, Kyle R. Douglas-Mankin
Spatial variability in seasonal snowpack trends across the Rio Grande headwaters (1984 - 2017)
This study evaluated the spatial variability of trends in simulated snowpack properties across the Rio Grande headwaters of Colorado using the SnowModel snow evolution modeling system. SnowModel simulations were performed using a grid resolution of 100 m and 3-hourly time step over a 34-yr period (1984–2017). Atmospheric forcing was provided by phase 2 of the North American Land Data Assimilation
Authors
Graham A. Sexstone, Colin A. Penn, Glen Liston, Kelly Gleason, C. David Moeser, David W. Clow
Estimating the effects of forest structure changes from wildfire on snow water resources under varying meteorological conditions
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 po
Authors
C. David Moeser, Patrick Borxton, Adrian Harpold, Andrew J. Robertson
Snow processes in mountain forests: Interception modeling for coarse-scale applications
Snow interception by the forest canopy controls the spatial heterogeneity of subcanopy snow accumulation leading to significant differences between forested and nonforested areas at a variety of scales. Snow intercepted by the forest canopy can also drastically change the surface albedo. As such, accurately modeling snow interception is of importance for various model applications such as hydrolog
Authors
N. Helbig, C. David Moeser, M. Teich, L. Vincent, Y. Lejeune, J.-E. Sicart, J.-M. Monnet
Application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin
The U.S. Geological Survey’s Precipitation-Runoff Modeling System (PRMS) is widely used to simulate the effects of climate, topography, land cover, and soils on landscape-level hydrologic response and streamflow. This study developed, calibrated, and assessed a PRMS model that simulates near-native or naturalized streamflow conditions in the Upper Rio Grande Basin. A PRMS model framework of 1,021
Authors
Shaleene B. Chavarria, C. David Moeser, Kyle R. Douglas-Mankin
Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy
Modelling spatiotemporal dynamics of snow in forests is challenging, as involved processes are strongly dependent on small-scale canopy properties. In this study, we explore how local canopy structure information can be integrated in a medium-complexity energy-balance snow model to replicate observed snow patterns at very high spatial resolutions. Snow depth distributions simulated with the Flexib
Authors
Giulia Mazzotti, Richard Essery, C. David Moeser, Tobias Jonas
Calibration of Precipitation-Runoff Modeling System (PRMS) to simulate prefire and postfire hydrologic response in the upper Rio Hondo Basin, New Mexico
The Precipitation-Runoff Modeling System (PRMS) is widely used to simulate the effects of climate, topography, land cover, and soils on landscape-level hydrologic responses and streamflow. The U.S. Geological Survey (USGS), in cooperation with the New Mexico Department of Homeland Security and Emergency Management, developed procedures to apply the PRMS model to simulate the effects of fire on hyd
Authors
Kyle R. Douglas-Mankin, C. David Moeser
Non-USGS Publications**
Moeser, D., G. Mazzotti, N. Helbig, T. Jonas; Representing spatial variability of forest snow: Implementation of a new interception model, 2016; Water Resources Research, doi: 10.1002/2015WR017961
Moeser, D., M. Stähli, T. Jonas; Improved snow interception modeling using novel canopy parameters from airborne LIDAR data, 2015; Water Resources Research, doi: 10.1002/2014WR016724
Moeser, D., F. Morsdorf, T. Jonas; Novel forest structure metrics from airborne LiDAR data for improved snow interception estimation, 2015; Agriculture and Forest Meteorology, doi: 10.1016/j.agrformet.2015.04.013
Moeser, D., J. Roubinek, P. Schleppi, F. Morsdorf, T. Jonas; Canopy closure, LAI and radiation transfer from airborne LiDAR synthetic images; 2014; Agricultural and Forest Meteorology, doi: 10.1016/j.agrformet.2014.06.008
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
The Role of Forest Structure in Regulating Water Availability and Implications for Natural Resources and Ecosystem Function
Wildfire, drought, and insects are reshaping forests in the Western United States in a manner that is being exacerbated by warming temperatures. Disturbance events such as these can significantly alter the amount of land that is covered by forest in an area or region. Consequently, changes in forest cover from disturbance can impact water runoff conditions leading to dangerous flooding, erosion, a
Estimating the Future Effects of Forest Disturbance on Snow Water Resources in a Changing Environment
In the Western U.S., approximately 65% of the water supply comes from forested regions with most of the water that feeds local rivers coming from snowmelt that originates in mountain forests. The Rio Grande headwaters (I.e. the primary water generating region of the Rio Grande river) is experiencing large changes to the landscape primarily from forest fires and bark beetle infestations. Already, 8
Analyzing the Response of Waterflow to Projected Climate Conditions in the Upper Rio Grande Basin
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 this region. The increasing gap between water supply and demand is cause for concern. Climate projections for the southwestern and south central United States suggest that
Simulation of Pre- and Post-Fire Streamflow in the Upper Rio Hondo Basin, NM
The 2012 Little Bear Fire burned 44,000 acres in the upper Rio Hondo Basin in south-central New Mexico. Landscape in the Basin ranges from mixed conifer forests at higher elevations (12,000 ft) to desert shrubland at lower (5,200 ft) elevations. Burned areas are at risk of substantial post-wildfire erosion and flash floods. USGS post-wildfire analysis estimated 70% of the burned area had a high...
The Effects of Wildfire on Snow Water Resources under Multiple Climate Conditions
The Colorado and Rio Grande Rivers provide drinking water to millions of people in the Southwest and South Central U.S. Snowmelt accounts for 70% of streamflow in these rivers, meaning that water use downstream is directly impacted by snow accumulation and snowmelt patterns in the mountains. Mountain forests are a critical part of the hydrologic cycle that feeds these rivers, providing water suppl
Snow Measurements in Specific Canopy Structure Regimes for April 9, 2024, North of Coal Creek, San Juan Mountains, Colorado, USA
These data include snow depth and snow water equivalent (SWE) for a field campaign on April 9, 2024. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in southwestern Colorado, USA. These measurements were taken to look at the relationship between snow accumulation and snow
High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar
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 (m) resolution. The aerial lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the U.S. Geological Survey (USGS) from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy density
Snow Measurements in Specific Canopy Structure Regimes for the 2022-2023 Water Years, North of Coal Creek, San Juan Mountains, Colorado, USA
These data include snow depth and snow water equivalence (SWE) for the 2022 and 2023 water years during 16 separate field campaigns. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in Southwest Colorado, USA. These measurements were taken to look at the relationship betwe
Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) in the Upper Rio Grande Basin
The Rio Grande Basin Study (Basin Study) is a stakeholder-led project funded by the U.S. Bureau of Reclamation to develop climate adaptation strategies to address the growing gap between water supply and demand in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas. The role of the USGS in the Basin Study is to simulate historic and future streamflow using projected climate data from 27
Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin
This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potentia
Data Release: The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions
This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 201
Model input and output for prefire and postfire hydrologic simulations in the Upper Rio Hondo Basin, New Mexico using the Precipitation-Runoff Modeling System (PRMS)
This data release contains inputs for and outputs from hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Input data include parameter files for two PRMS models calibrated to prefire co
Modeling forest snow using relative canopy structure metrics
Snow and watershed models typically do not account for forest structure and shading; therefore, they display substantial uncertainty when attempting to account for forest change or when comparing hydrological response between forests with varying characteristics. This study collected snow water equivalent (SWE) measurements in a snow-dominated forest in Colorado, the United States, with variable c
Authors
C. David Moeser, Graham A. Sexstone, Jake Kurzweil
Upper Rio Grande Basin water-resource status and trends: Focus area study review and synthesis
The Upper Rio Grande Basin (URGB) is a critical international water resource under pressure from a myriad of climatic, ecological, infrastructural, water-use, and legal constraints. The objective of this study is to provide a comprehensive assessment of the spatial distribution and temporal trends of selected water-budget components (snow processes, evapotranspiration (ET), streamflow processes, a
Authors
Kyle R. Douglas-Mankin, Christine Rumsey, Graham A. Sexstone, Tamara I. Ivahnenko, Natalie Houston, Shaleene Chavarria, Gabriel B. Senay, Linzy K. Foster, Jonathan V. Thomas, Allison K. Flickinger, Amy E. Galanter, C. David Moeser, Toby L. Welborn, Diana E. Pedraza, Patrick M. Lambert, Michael Scott Johnson
Streamflow response to potential changes in climate in the Upper Rio Grande Basin
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
Authors
C. David Moeser, Shaleene B. Chavarria, Adrienne M. Wootten
Accounting for fine-scale forest structure is necessary to model snowpack mass and energy budgets in montane forests
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 simplif
Authors
Patrick D. Broxton, C. David Moeser, Adrian Harpold
Simulating hydrologic effects of wildfire on a small sub-alpine watershed in New Mexico, U.S.
Streamflow records available before and after wildfire in a small, mixed conifer, sub-alpine monsoonal dominated watershed in New Mexico provided a unique opportunity to calibrate a watershed model (PRMS) for pre- and postfire conditions. The calibrated model was then used to simulate the hydrologic effects of fire. Simulated postfire surface runoff averaged 14.7 times greater than prefire for the
Authors
C. David Moeser, Kyle R. Douglas-Mankin
Spatial variability in seasonal snowpack trends across the Rio Grande headwaters (1984 - 2017)
This study evaluated the spatial variability of trends in simulated snowpack properties across the Rio Grande headwaters of Colorado using the SnowModel snow evolution modeling system. SnowModel simulations were performed using a grid resolution of 100 m and 3-hourly time step over a 34-yr period (1984–2017). Atmospheric forcing was provided by phase 2 of the North American Land Data Assimilation
Authors
Graham A. Sexstone, Colin A. Penn, Glen Liston, Kelly Gleason, C. David Moeser, David W. Clow
Estimating the effects of forest structure changes from wildfire on snow water resources under varying meteorological conditions
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 po
Authors
C. David Moeser, Patrick Borxton, Adrian Harpold, Andrew J. Robertson
Snow processes in mountain forests: Interception modeling for coarse-scale applications
Snow interception by the forest canopy controls the spatial heterogeneity of subcanopy snow accumulation leading to significant differences between forested and nonforested areas at a variety of scales. Snow intercepted by the forest canopy can also drastically change the surface albedo. As such, accurately modeling snow interception is of importance for various model applications such as hydrolog
Authors
N. Helbig, C. David Moeser, M. Teich, L. Vincent, Y. Lejeune, J.-E. Sicart, J.-M. Monnet
Application of the Precipitation-Runoff Modeling System (PRMS) to simulate near-native streamflow in the Upper Rio Grande Basin
The U.S. Geological Survey’s Precipitation-Runoff Modeling System (PRMS) is widely used to simulate the effects of climate, topography, land cover, and soils on landscape-level hydrologic response and streamflow. This study developed, calibrated, and assessed a PRMS model that simulates near-native or naturalized streamflow conditions in the Upper Rio Grande Basin. A PRMS model framework of 1,021
Authors
Shaleene B. Chavarria, C. David Moeser, Kyle R. Douglas-Mankin
Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy
Modelling spatiotemporal dynamics of snow in forests is challenging, as involved processes are strongly dependent on small-scale canopy properties. In this study, we explore how local canopy structure information can be integrated in a medium-complexity energy-balance snow model to replicate observed snow patterns at very high spatial resolutions. Snow depth distributions simulated with the Flexib
Authors
Giulia Mazzotti, Richard Essery, C. David Moeser, Tobias Jonas
Calibration of Precipitation-Runoff Modeling System (PRMS) to simulate prefire and postfire hydrologic response in the upper Rio Hondo Basin, New Mexico
The Precipitation-Runoff Modeling System (PRMS) is widely used to simulate the effects of climate, topography, land cover, and soils on landscape-level hydrologic responses and streamflow. The U.S. Geological Survey (USGS), in cooperation with the New Mexico Department of Homeland Security and Emergency Management, developed procedures to apply the PRMS model to simulate the effects of fire on hyd
Authors
Kyle R. Douglas-Mankin, C. David Moeser
Non-USGS Publications**
Moeser, D., G. Mazzotti, N. Helbig, T. Jonas; Representing spatial variability of forest snow: Implementation of a new interception model, 2016; Water Resources Research, doi: 10.1002/2015WR017961
Moeser, D., M. Stähli, T. Jonas; Improved snow interception modeling using novel canopy parameters from airborne LIDAR data, 2015; Water Resources Research, doi: 10.1002/2014WR016724
Moeser, D., F. Morsdorf, T. Jonas; Novel forest structure metrics from airborne LiDAR data for improved snow interception estimation, 2015; Agriculture and Forest Meteorology, doi: 10.1016/j.agrformet.2015.04.013
Moeser, D., J. Roubinek, P. Schleppi, F. Morsdorf, T. Jonas; Canopy closure, LAI and radiation transfer from airborne LiDAR synthetic images; 2014; Agricultural and Forest Meteorology, doi: 10.1016/j.agrformet.2014.06.008
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.