Articles | Volume 12, issue 3
https://doi.org/10.5194/tc-12-1027-2018
https://doi.org/10.5194/tc-12-1027-2018
Research article
 | 
23 Mar 2018
Research article |  | 23 Mar 2018

Changes in Andes snow cover from MODIS data, 2000–2016

Freddy A. Saavedra, Stephanie K. Kampf, Steven R. Fassnacht, and Jason S. Sibold

Related authors

Modeling the interannual variability in Maipo and Rapel river plumes off central Chile
Julio Salcedo-Castro, Antonio Olita, Freddy Saavedra, Gonzalo S. Saldías, Raúl C. Cruz-Gómez, and Cristian D. De la Torre Martínez
Ocean Sci., 19, 1687–1703, https://doi.org/10.5194/os-19-1687-2023,https://doi.org/10.5194/os-19-1687-2023, 2023
Short summary
Hydrological Response of Andean Catchments to Recent Glacier Mass Loss
Alexis Caro, Thomas Condom, Antoine Rabatel, Nicolas Champollion, Nicolás García, and Freddy Saavedra
EGUsphere, https://doi.org/10.5194/egusphere-2023-888,https://doi.org/10.5194/egusphere-2023-888, 2023
Short summary
Snow and albedo climate change impacts across the United States Northern Great Plains
S. R. Fassnacht, M. L. Cherry, N. B. H. Venable, and F. Saavedra
The Cryosphere, 10, 329–339, https://doi.org/10.5194/tc-10-329-2016,https://doi.org/10.5194/tc-10-329-2016, 2016
Short summary

Related subject area

Remote Sensing
Lead fractions from SAR-derived sea ice divergence during MOSAiC
Luisa von Albedyll, Stefan Hendricks, Nils Hutter, Dmitrii Murashkin, Lars Kaleschke, Sascha Willmes, Linda Thielke, Xiangshan Tian-Kunze, Gunnar Spreen, and Christian Haas
The Cryosphere, 18, 1259–1285, https://doi.org/10.5194/tc-18-1259-2024,https://doi.org/10.5194/tc-18-1259-2024, 2024
Short summary
Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17
Siddharth Singh, Michael Durand, Edward Kim, and Ana P. Barros
The Cryosphere, 18, 747–773, https://doi.org/10.5194/tc-18-747-2024,https://doi.org/10.5194/tc-18-747-2024, 2024
Short summary
A low-cost and open-source approach for supraglacial debris thickness mapping using UAV-based infrared thermography
Jérôme Messmer and Alexander Raphael Groos
The Cryosphere, 18, 719–746, https://doi.org/10.5194/tc-18-719-2024,https://doi.org/10.5194/tc-18-719-2024, 2024
Short summary
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry
Shadi Oveisgharan, Robert Zinke, Zachary Hoppinen, and Hans Peter Marshall
The Cryosphere, 18, 559–574, https://doi.org/10.5194/tc-18-559-2024,https://doi.org/10.5194/tc-18-559-2024, 2024
Short summary
Passive microwave remote-sensing-based high-resolution snow depth mapping for Western Himalayan zones using multifactor modeling approach
Dhiraj Kumar Singh, Srinivasarao Tanniru, Kamal Kant Singh, Harendra Singh Negi, and RAAJ Ramsankaran
The Cryosphere, 18, 451–474, https://doi.org/10.5194/tc-18-451-2024,https://doi.org/10.5194/tc-18-451-2024, 2024
Short summary

Cited articles

Adam, J. C., Hamlet, A. F., and Lettenmaier, D. P.: Implications of global climate change for snowmelt hydrology in the twenty-first century, Hydrol. Process., 23, 962–972, https://doi.org/10.1002/hyp.7201, 2009. 
Aravena, J.-C. and Luckman, B. H.: Spatio-temporal rainfall patterns in Southern South America, Int. J. Climatol., 29, 2106–2120, https://doi.org/10.1002/joc.1761, 2009. 
Arsenault, K. R., Houser, P. R., and De Lannoy, G. J. M.: Evaluation of the MODIS snow cover fraction product, Hydrol. Process., 28, 980–998, https://doi.org/10.1002/hyp.9636, 2014. 
Ayala, A., McPhee, J., and Vargas, X.: Altitudinal gradients, midwinter melt, and wind effects on snow accumulation in semiarid midlatitude Andes under La Niña conditions, Water Resour. Res., 50, 3589–3594, https://doi.org/10.1002/2013wr014960, 2014. 
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005. 
Download
Short summary
This manuscript presents a large latitude and elevation range analysis for snow trends in the Andes using satellite images (MODIS) snow cover product. The research approach is also significant because it presents a novel strategy for defining trends in snow persistence from remote sensing data, and this allows us to improve understanding of climate change effects on snow in areas with sparse and unevenly ground climate data.