A
Adam Winstral
Researcher at Agricultural Research Service
Publications - 49
Citations - 3259
Adam Winstral is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Snow & Snowmelt. The author has an hindex of 26, co-authored 49 publications receiving 2755 citations. Previous affiliations of Adam Winstral include United States Department of Agriculture.
Papers
More filters
Journal ArticleDOI
The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo
Thomas H. Painter,Daniel F. Berisford,Joseph W. Boardman,Kathryn J. Bormann,Jeffrey S. Deems,Frank Gehrke,A. R. Hedrick,Michael J. Joyce,Ross Laidlaw,Danny Marks,Chris A. Mattmann,B. J. McGurk,Paul Ramirez,M. Richardson,S. McKenzie Skiles,Felix C. Seidel,Adam Winstral +16 more
TL;DR: In this article, the Airborne Snow Observatory (ASO) used a coupled imaging spectrometer and scanning lidar, combined with distributed snow modeling, developed for the measurement of snow spectral albedo/broadband albedos and snow depth/SWE.
Journal ArticleDOI
Spatial Snow Modeling of Wind-Redistributed Snow Using Terrain-Based Parameters
TL;DR: In this paper, terrain-based parameters are developed to characterize wind effects in exposed alpine regions, and a drift delineator parameter, D0, is used to delineate sites of intense redeposition on lee slopes.
Journal ArticleDOI
Simulating wind fields and snow redistribution using terrain-based parameters to model snow accumulation and melt over a semi-arid mountain catchment
Adam Winstral,Danny Marks +1 more
TL;DR: In this paper, digital terrain analysis was employed to quantify aspects of the upwind topography related to wind shelter and exposure, to efficiently develop a distributed time-series of snow accumulation rates and wind speeds to force a distributed snow model.
Journal ArticleDOI
Persistence of topographic controls on the spatial distribution of snow in rugged mountain terrain, Colorado, United States
TL;DR: In this paper, the spatial correlation of model residuals for a variable mean model, incorporating the spatial correlations into the optimization of the deterministic trend, and producing smooth estimate maps that may extrapolate above and below measured values.
Journal ArticleDOI
Solar radiation transmission through conifer canopies
Janet P. Hardy,Rae A. Melloh,G. Koenig,Danny Marks,Adam Winstral,John W. Pomeroy,Timothy E. Link +6 more
TL;DR: In this article, the authors evaluate the variability of incoming solar radiation data with respect to canopy structure and cloudiness, and correlate measured solar radiation transmission with predicted solar transmission based on analysis of hemispherical photographs, and examine the impact of measured and predicted transmission factors on the seasonal net radiative exchanges and snow ablation.