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Mark S. Raleigh
Mark S. Raleigh
Подтвержден адрес электронной почты в домене oregonstate.edu - Главная страница
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Процитировано
Процитировано
Год
Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework
MS Raleigh, JD Lundquist, MP Clark
Hydrology and Earth System Sciences 19 (7), 3153-3179, 2015
1872015
Ground-based testing of MODIS fractional snow cover in subalpine meadows and forests of the Sierra Nevada
M Raleigh, K Rittger, C Moore, B Henn, J Lutz, J Lundquist
Remote Sensing of Environment 128, 44-57, 2013
1562013
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
G Krinner, C Derksen, R Essery, M Flanner, S Hagemann, M Clark, A Hall, ...
Geoscientific Model Development 11 (12), 5027-5049, 2018
1302018
Mountain system monitoring at Senator Beck Basin, San Juan Mountains, Colorado: A new integrative data source to develop and evaluate models of snow and hydrologic processes
CC Landry, KA Buck, MS Raleigh, MP Clark
Water Resources Research 50 (2), 1773-1788, 2014
982014
Spatial heterogeneity in ecologically important climate variables at coarse and fine scales in a high-snow mountain landscape
KR Ford, AK Ettinger, JD Lundquist, MS Raleigh, J Hille Ris Lambers
PloS one 8 (6), e65008, 2013
942013
A comparison of methods for filling gaps in hourly near-surface air temperature data
B Henn, MS Raleigh, A Fisher, JD Lundquist
Journal of Hydrometeorology 14 (3), 929-945, 2013
932013
Comparing and combining SWE estimates from the SNOW‐17 model using PRISM and SWE reconstruction
MS Raleigh, JD Lundquist
Water Resources Research 48 (1), 2012
872012
How does availability of meteorological forcing data impact physically based snowpack simulations?
MS Raleigh, B Livneh, K Lapo, JD Lundquist
Journal of hydrometeorology 17 (1), 99-120, 2016
852016
Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability
AG Slater, AP Barrett, MP Clark, JD Lundquist, MS Raleigh
Advances in water resources 55, 165-177, 2013
752013
Canopy adjustment and improved cloud detection for remotely sensed snow cover mapping
K Rittger, MS Raleigh, J Dozier, AF Hill, JA Lutz, TH Painter
Water Resources Research 56 (6), e2019WR024914, 2020
742020
Impact of errors in the downwelling irradiances on simulations of snow water equivalent, snow surface temperature, and the snow energy balance
KE Lapo, LM Hinkelman, MS Raleigh, JD Lundquist
Water resources research 51 (3), 1649-1670, 2015
722015
Snowpack density modeling is the primary source of uncertainty when mapping basin‐wide SWE with lidar
MS Raleigh, EE Small
Geophysical Research Letters 44 (8), 3700-3709, 2017
682017
ESM-SnowMIP: assessing snow models and quantifying snowrelated climate feedbacks, Geosci. Model Dev., 11, 5027–5049
G Krinner, C Derksen, R Essery, M Flanner, S Hagemann, M Clark, A Hall, ...
652018
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks, Geosci. Model Dev., 11, 5027–5049, 10.5194
G Krinner, C Derksen, R Essery, M Flanner, S Hagemann, M Clark, A Hall, ...
gmd-11-5027-2018, 2018
582018
Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data
CB Ménard, R Essery, A Barr, P Bartlett, J Derry, M Dumont, C Fierz, ...
Earth System Science Data 11 (2), 865-880, 2019
552019
Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets
T Stillinger, K Rittger, MS Raleigh, A Michell, RE Davis, EH Bair
The Cryosphere Discussions 2022, 1-37, 2022
492022
Particle filter data assimilation of monthly snow depth observations improves estimation of snow density and SWE
EJ Smyth, MS Raleigh, EE Small
Water Resources Research 55 (2), 1296-1311, 2019
482019
Approximating snow surface temperature from standard temperature and humidity data: New possibilities for snow model and remote sensing evaluation
MS Raleigh, CC Landry, M Hayashi, WL Quinton, JD Lundquist
Water Resources Research 49 (12), 8053-8069, 2013
472013
An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery
NC Cristea, I Breckheimer, MS Raleigh, J HilleRisLambers, JD Lundquist
Water Resources Research 53 (8), 6802-6820, 2017
452017
Evaluating observational methods to quantify snow duration under diverse forest canopies
SE Dickerson‐Lange, JA Lutz, KA Martin, MS Raleigh, R Gersonde, ...
Water Resources Research 51 (2), 1203-1224, 2015
452015
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