Articles | Volume 15, issue 11
The Cryosphere, 15, 5261–5280, 2021
https://doi.org/10.5194/tc-15-5261-2021
The Cryosphere, 15, 5261–5280, 2021
https://doi.org/10.5194/tc-15-5261-2021
Research article
 | Highlight paper
26 Nov 2021
Research article  | Highlight paper | 26 Nov 2021

Spatiotemporal distribution of seasonal snow water equivalent in High Mountain Asia from an 18-year Landsat–MODIS era snow reanalysis dataset

Yufei Liu et al.

Related authors

Estimating spatiotemporally continuous snow water equivalent from intermittent satellite track observations using machine learning methods
Xiaoyu Ma, Dongyue Li, Yiwen Fang, Steven A. Margulis, and Dennis P. Lettenmaier
EGUsphere, https://doi.org/10.5194/egusphere-2022-470,https://doi.org/10.5194/egusphere-2022-470, 2022
Short summary
Interactions between thresholds and spatial discretizations of snow: insights from wolverine habitat assessments in the Colorado Rocky Mountains
Justin M. Pflug, Yiwen Fang, Steven A. Margulis, and Ben Livneh
EGUsphere, https://doi.org/10.5194/egusphere-2022-157,https://doi.org/10.5194/egusphere-2022-157, 2022
Short summary
Assessment of a multiresolution snow reanalysis framework: a multidecadal reanalysis case over the upper Yampa River basin, Colorado
Elisabeth Baldo and Steven A. Margulis
Hydrol. Earth Syst. Sci., 22, 3575–3587, https://doi.org/10.5194/hess-22-3575-2018,https://doi.org/10.5194/hess-22-3575-2018, 2018
Short summary
Snowmelt response to simulated warming across a large elevation gradient, southern Sierra Nevada, California
Keith N. Musselman, Noah P. Molotch, and Steven A. Margulis
The Cryosphere, 11, 2847–2866, https://doi.org/10.5194/tc-11-2847-2017,https://doi.org/10.5194/tc-11-2847-2017, 2017
Short summary
Feasibility of improving a priori regional climate model estimates of Greenland ice sheet surface mass loss through assimilation of measured ice surface temperatures
M. Navari, S. A. Margulis, S. M. Bateni, M. Tedesco, P. Alexander, and X. Fettweis
The Cryosphere, 10, 103–120, https://doi.org/10.5194/tc-10-103-2016,https://doi.org/10.5194/tc-10-103-2016, 2016
Short summary

Related subject area

Discipline: Snow | Subject: Seasonal Snow
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161, https://doi.org/10.5194/tc-16-2147-2022,https://doi.org/10.5194/tc-16-2147-2022, 2022
Short summary
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022,https://doi.org/10.5194/tc-16-1281-2022, 2022
Short summary
Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022,https://doi.org/10.5194/tc-16-1007-2022, 2022
Short summary
Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada
Achut Parajuli, Daniel F. Nadeau, François Anctil, and Marco Alves
The Cryosphere, 15, 5371–5386, https://doi.org/10.5194/tc-15-5371-2021,https://doi.org/10.5194/tc-15-5371-2021, 2021
Short summary
Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements
Moritz Buchmann, Michael Begert, Stefan Brönnimann, and Christoph Marty
The Cryosphere, 15, 4625–4636, https://doi.org/10.5194/tc-15-4625-2021,https://doi.org/10.5194/tc-15-4625-2021, 2021
Short summary

Cited articles

Ahmad, J. A., Forman, B. A., and Kwon, Y.: Analyzing Machine Learning Predictions of Passive Microwave Brightness Temperature Spectral Difference Over Snow-Covered Terrain in High Mountain Asia, Front. Earth Sci., 7, 249, https://doi.org/10.3389/feart.2019.00212, 2019. 
Armstrong, R. L., Rittger, K., Brodzik, M. J., Racoviteanu, A., Barrett, A. P., Khalsa, S.-J. S., Raup, B., Hill, A. F., Khan, A. L., Wilson, A. M., Kayastha, R. B., Fetterer, F., and Armstrong, B.: Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow, Reg. Environ. Change, 19, 1249–1261, 2019. 
Bair, E., Stillinger, T., Rittger, K., and Skiles, M.: COVID-19 lockdowns show reduced pollution on snow and ice in the Indus River Basin, P. Natl. Acad. Sci. USA, 118, e2101174118, https://doi.org/10.1073/pnas.2101174118, 2021. 
Bair, E. H., Abreu Calfa, A., Rittger, K., and Dozier, J.: Using machine learning for real-time estimates of snow water equivalent in the watersheds of Afghanistan, The Cryosphere, 12, 1579–1594, https://doi.org/10.5194/tc-12-1579-2018, 2018. 
Bair, E. H., Rittger, K., Ahmad, J. A., and Chabot, D.: Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan, The Cryosphere, 14, 331–347, https://doi.org/10.5194/tc-14-331-2020, 2020. 
Download
Short summary
We examined the spatiotemporal distribution of stored water in the seasonal snowpack over High Mountain Asia, based on a new snow reanalysis dataset. The dataset was derived utilizing satellite-observed snow information, which spans across 18 water years, at a high spatial (~ 500 m) and temporal (daily) resolution. Snow mass and snow storage distribution over space and time are analyzed in this paper, which brings new insights into understanding the snowpack variability over this region.