Articles | Volume 13, issue 4
https://doi.org/10.5194/tc-13-1247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-1247-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Apr 2019
Research article |
| 15 Apr 2019
| 15 Apr 2019
Avalanches and micrometeorology driving mass and energy balance of the lowest perennial ice field of the Alps: a case study
Rebecca Mott
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research, Atmospheric
Environmental Research (KIT/IMK-IFU), KIT-Campus Alpin,
Garmisch-Partenkirchen, Germany
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Andreas Wolf
Institute for Karst and Cave Science, Germany
Maximilian Kehl
Institute of Meteorology and Climate Research, Atmospheric
Environmental Research (KIT/IMK-IFU), KIT-Campus Alpin,
Garmisch-Partenkirchen, Germany
Harald Kunstmann
Institute of Meteorology and Climate Research, Atmospheric
Environmental Research (KIT/IMK-IFU), KIT-Campus Alpin,
Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Augsburg, Germany
Michael Warscher
Institute of Meteorology and Climate Research, Atmospheric
Environmental Research (KIT/IMK-IFU), KIT-Campus Alpin,
Garmisch-Partenkirchen, Germany
Institute of Geography, University of Augsburg, Augsburg, Germany
Department of Geography, University of Innsbruck, Innsbruck, Austria
Thomas Grünewald
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
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Dominikus Heinzeller, Diarra Dieng, Gerhard Smiatek, Christiana Olusegun, Cornelia Klein, Ilse Hamann, Seyni Salack, Jan Bliefernicht, and Harald Kunstmann
Earth Syst. Sci. Data, 10, 815–835, https://doi.org/10.5194/essd-10-815-2018, https://doi.org/10.5194/essd-10-815-2018, 2018
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Thomas Grünewald, Fabian Wolfsperger, and Michael Lehning
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Caroline Brosy, Karina Krampf, Matthias Zeeman, Benjamin Wolf, Wolfgang Junkermann, Klaus Schäfer, Stefan Emeis, and Harald Kunstmann
Atmos. Meas. Tech., 10, 2773–2784, https://doi.org/10.5194/amt-10-2773-2017, https://doi.org/10.5194/amt-10-2773-2017, 2017
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Jan Schmieder, Florian Hanzer, Thomas Marke, Jakob Garvelmann, Michael Warscher, Harald Kunstmann, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 20, 5015–5033, https://doi.org/10.5194/hess-20-5015-2016, https://doi.org/10.5194/hess-20-5015-2016, 2016
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because of distinct isotopic differences between both slopes.
Bernd Schalge, Jehan Rihani, Gabriele Baroni, Daniel Erdal, Gernot Geppert, Vincent Haefliger, Barbara Haese, Pablo Saavedra, Insa Neuweiler, Harrie-Jan Hendricks Franssen, Felix Ament, Sabine Attinger, Olaf A. Cirpka, Stefan Kollet, Harald Kunstmann, Harry Vereecken, and Clemens Simmer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-557, https://doi.org/10.5194/hess-2016-557, 2016
Manuscript not accepted for further review
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In this work we show how we used a coupled atmosphere-land surface-subsurface model at highest possible resolution to create a testbed for data assimilation. The model was able to capture all important processes and interactions between the compartments as well as showing realistic statistical behavior. This proves that using a model as a virtual truth is possible and it will enable us to develop data assimilation methods where states and parameters are updated across compartment.
Christian Chwala, Felix Keis, and Harald Kunstmann
Atmos. Meas. Tech., 9, 991–999, https://doi.org/10.5194/amt-9-991-2016, https://doi.org/10.5194/amt-9-991-2016, 2016
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Commercial microwave link (CML) networks, like they are used as backbone for the cell phone network, can be used to derive rainfall information. However, data availability is limited due to the lack of suitable data acquisition systems. We have developed and currently operate a custom data acquisition system for CML networks that is able to acquire the required data for a large number of CMLs in real time. This system is the basis for a future countrywide rainfall product derived from CML data.
Rebecca Mott, Enrico Paterna, Stefan Horender, Philip Crivelli, and Michael Lehning
The Cryosphere, 10, 445–458, https://doi.org/10.5194/tc-10-445-2016, https://doi.org/10.5194/tc-10-445-2016, 2016
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For the first time, this contribution investigates atmospheric decoupling above melting snow in a wind tunnel study. High-resolution vertical profiles of
sensible heat fluxes are measured directly over the melting snow patch.
The study shows that atmospheric decoupling is strongly increased in topographic sheltering but only for low wind velocities. Then turbulent mixing close to the surface is strongly suppressed, facilitating the formation of cold-air pooling in local depressions.
T. Marke, E. Mair, K. Förster, F. Hanzer, J. Garvelmann, S. Pohl, M. Warscher, and U. Strasser
Geosci. Model Dev., 9, 633–646, https://doi.org/10.5194/gmd-9-633-2016, https://doi.org/10.5194/gmd-9-633-2016, 2016
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This article describes the extension of the ESCIMO.spread spreadsheet-based point energy balance snow model by (i) an advanced approach for precipitation phase detection, (ii) a concept for cold and liquid water storage consideration and (iii) a canopy sub-model that allows one to quantify the effect of a forest canopy on the meteorological conditions inside the forest as well as the simulation of snow accumulation and ablation inside a forest stand.
D. Heinzeller, M. G. Duda, and H. Kunstmann
Geosci. Model Dev., 9, 77–110, https://doi.org/10.5194/gmd-9-77-2016, https://doi.org/10.5194/gmd-9-77-2016, 2016
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We present an in-depth evaluation of the Model for Prediction Across Scales (MPAS) with regards to technical aspects of performing model runs and scalability for medium-size meshes on several HPCs. We also demonstrate the model performance in terms of its capability to reproduce the dynamics of the West African monsoon and its associated precipitation in a pilot study. Finally, we conduct extreme scaling tests on a global 3km mesh with 65,536,002 horizontal grid cells on up to 458,752 cores.
F. Alshawaf, B. Fersch, S. Hinz, H. Kunstmann, M. Mayer, and F. J. Meyer
Hydrol. Earth Syst. Sci., 19, 4747–4764, https://doi.org/10.5194/hess-19-4747-2015, https://doi.org/10.5194/hess-19-4747-2015, 2015
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This work aims at deriving high spatially resolved maps of atmospheric water vapor by the fusion data from Interferometric Synthetic Aperture Radar (InSAR), Global Navigation Satellite Systems (GNSS), and the Weather Research and Forecasting (WRF) model. The data fusion approach exploits the redundant and complementary spatial properties of all data sets to provide more accurate and high-resolution maps of water vapor. The comparison with maps from MERIS shows rms values of less than 1 mm.
G. Mao, S. Vogl, P. Laux, S. Wagner, and H. Kunstmann
Hydrol. Earth Syst. Sci., 19, 1787–1806, https://doi.org/10.5194/hess-19-1787-2015, https://doi.org/10.5194/hess-19-1787-2015, 2015
A. Wagner, J. Seltmann, and H. Kunstmann
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-1765-2015, https://doi.org/10.5194/hessd-12-1765-2015, 2015
Manuscript not accepted for further review
T. Grünewald, Y. Bühler, and M. Lehning
The Cryosphere, 8, 2381–2394, https://doi.org/10.5194/tc-8-2381-2014, https://doi.org/10.5194/tc-8-2381-2014, 2014
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Elevation dependencies of snow depth are analysed based on snow depth maps obtained from airborne remote sensing. Elevation gradients are characterised by a specific shape: an increase of snow depth with elevation is followed by a distinct peak at a certain level and a decrease in the highest elevations. We attribute this shape to an increase of precipitation with altitude, which is modified by topographical-induced redistribution processes of the snow on the ground (wind, gravitation).
R. J. van der Ent, O. A. Tuinenburg, H.-R. Knoche, H. Kunstmann, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 17, 4869–4884, https://doi.org/10.5194/hess-17-4869-2013, https://doi.org/10.5194/hess-17-4869-2013, 2013
T. Grünewald, J. Stötter, J. W. Pomeroy, R. Dadic, I. Moreno Baños, J. Marturià, M. Spross, C. Hopkinson, P. Burlando, and M. Lehning
Hydrol. Earth Syst. Sci., 17, 3005–3021, https://doi.org/10.5194/hess-17-3005-2013, https://doi.org/10.5194/hess-17-3005-2013, 2013
Related subject area
Discipline: Snow | Subject: Seasonal Snow
An examination of changes in autumn Eurasian snow cover and its relationship with the winter Arctic Oscillation using 20th Century Reanalysis version 3
Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend
Benchmarking of snow water equivalent (SWE) products based on outcomes of the SnowPEx+ Intercomparison Project
Snow depth sensitivity to mean temperature, precipitation, and elevation in the Austrian and Swiss Alps
Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America
Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023)
Characterization of non-Gaussianity in the snow distributions of various landscapes
A simple snow temperature index model exposes discrepancies between reanalysis snow water equivalent products
Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau?
Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research?
Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry
Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018
Sublimation Measurements of Tundra and Taiga Snowpack in Alaska
Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets
Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas
Change in the potential snowfall phenology: past, present, and future in the Chinese Tianshan mountainous region, Central Asia
The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland
Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain
Impact of measured and simulated tundra snowpack properties on heat transfer
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014
Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada
Spatiotemporal distribution of seasonal snow water equivalent in High Mountain Asia from an 18-year Landsat–MODIS era snow reanalysis dataset
Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements
Observed snow depth trends in the European Alps: 1971 to 2019
Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling
Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps)
Snow depth estimation and historical data reconstruction over China based on a random forest machine learning approach
Evaluation of long-term Northern Hemisphere snow water equivalent products
Towards a webcam-based snow cover monitoring network: methodology and evaluation
Simulated single-layer forest canopies delay Northern Hemisphere snowmelt
Converting snow depth to snow water equivalent using climatological variables
The optical characteristics and sources of chromophoric dissolved organic matter (CDOM) in seasonal snow of northwestern China
Brief Communication: Early season snowpack loss and implications for oversnow vehicle recreation travel planning
Multi-component ensembles of future meteorological and natural snow conditions for 1500 m altitude in the Chartreuse mountain range, Northern French Alps
Gareth J. Marshall
The Cryosphere, 19, 663–683, https://doi.org/10.5194/tc-19-663-2025, https://doi.org/10.5194/tc-19-663-2025, 2025
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Eurasian autumn snow cover (SC) can influence Northern Hemisphere weather in the following winter by affecting the Arctic Oscillation (AO) mode of atmospheric variability. Using data back to 1836, we show that there have been significant decreases in October and November SC. For the first time, we describe a robust relationship between September SC in northeastern Eurasia and the AO. In addition, the longer dataset reveals the temporal variability in previously identified SC–AO relationships.
Vincenzo Capozzi, Francesco Serrapica, Armando Rocco, Clizia Annella, and Giorgio Budillon
The Cryosphere, 19, 565–595, https://doi.org/10.5194/tc-19-565-2025, https://doi.org/10.5194/tc-19-565-2025, 2025
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This “journey through time” discovers historical information about snow precipitation in the Italian Apennines. In this area, in the second half of the past century, a gradual decline in snow persistence on the ground, as well as in the frequency of occurrence of snowfall events, has been observed, especially in sites located above 1000 m above sea level. The old data rescued in this study strongly enhance our knowledge about past snowfall variability and climate in the Mediterranean area.
Lawrence Mudryk, Colleen Mortimer, Chris Derksen, Aleksandra Elias Chereque, and Paul Kushner
The Cryosphere, 19, 201–218, https://doi.org/10.5194/tc-19-201-2025, https://doi.org/10.5194/tc-19-201-2025, 2025
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We evaluate and rank 23 different datasets on their ability to accurately estimate historical snow amounts. The evaluation uses new a set of surface snow measurements with improved spatial coverage, enabling evaluation across both mountainous and nonmountainous regions. Performance measures vary tremendously across the products: while most perform reasonably in nonmountainous regions, accurate representation of snow amounts in mountainous regions and of historical trends is much more variable.
Matthew Switanek, Gernot Resch, Andreas Gobiet, Daniel Günther, Christoph Marty, and Wolfgang Schöner
The Cryosphere, 18, 6005–6026, https://doi.org/10.5194/tc-18-6005-2024, https://doi.org/10.5194/tc-18-6005-2024, 2024
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Snow depth plays an important role in water resources, mountain tourism, and hazard management across the European Alps. Our study uses station-based historical observations to quantify how changes in temperature and precipitation affect average seasonal snow depth. We find that the relationship between these variables has been surprisingly robust over the last 120 years. This allows us to more accurately estimate how future climate will affect seasonal snow depth in different elevation zones.
Colleen Mortimer, Lawrence Mudryk, Eunsang Cho, Chris Derksen, Mike Brady, and Carrie Vuyovich
The Cryosphere, 18, 5619–5639, https://doi.org/10.5194/tc-18-5619-2024, https://doi.org/10.5194/tc-18-5619-2024, 2024
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Ground measurements of snow water equivalent (SWE) are vital for understanding the accuracy of large-scale estimates from satellites and climate models. We compare two types of measurements – snow courses and airborne gamma SWE estimates – and analyze how measurement type impacts the accuracy assessment of gridded SWE products. We use this analysis to produce a combined reference SWE dataset for North America, applicable for future gridded SWE product evaluations and other applications.
Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler
EGUsphere, https://doi.org/10.5194/egusphere-2024-3505, https://doi.org/10.5194/egusphere-2024-3505, 2024
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We generated annual maps of snow melt-out day at 20 m resolution over a period of 38 years from ten different satellites. This study fills a knowledge gap on the evolution of mountain snow in Europe by covering a much longer period and by characterizing trends at much higher resolution than previous studies. We found a trend for earlier melt-out with an average reduction of 5.51 days per decade over the French Alps and of 4.04 day per decade over the Pyrenees over the period 1986–2023.
Noriaki Ohara, Andrew D. Parsekian, Benjamin M. Jones, Rodrigo C. Rangel, Kenneth M. Hinkel, and Rui A. P. Perdigão
The Cryosphere, 18, 5139–5152, https://doi.org/10.5194/tc-18-5139-2024, https://doi.org/10.5194/tc-18-5139-2024, 2024
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Snow distribution characterization is essential for accurate snow water estimation for water resource prediction from existing in situ observations and remote-sensing data at a finite spatial resolution. Four different observed snow distribution datasets were analyzed for Gaussianity. We found that non-Gaussianity of snow distribution is a signature of the wind redistribution effect. Generally, seasonal snowpack can be approximated well by a Gaussian distribution for a fully snow-covered area.
Aleksandra Elias Chereque, Paul J. Kushner, Lawrence Mudryk, Chris Derksen, and Colleen Mortimer
The Cryosphere, 18, 4955–4969, https://doi.org/10.5194/tc-18-4955-2024, https://doi.org/10.5194/tc-18-4955-2024, 2024
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We look at three commonly used snow depth datasets that are produced through a combination of snow modelling and historical measurements (reanalysis). When compared with each other, these datasets have differences that arise for various reasons. We show that a simple snow model can be used to examine these inconsistencies and highlight issues. This method indicates that one of the complex datasets should be excluded from further studies.
Shirui Yan, Yang Chen, Yaliang Hou, Kexin Liu, Xuejing Li, Yuxuan Xing, Dongyou Wu, Jiecan Cui, Yue Zhou, Wei Pu, and Xin Wang
The Cryosphere, 18, 4089–4109, https://doi.org/10.5194/tc-18-4089-2024, https://doi.org/10.5194/tc-18-4089-2024, 2024
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The snow cover over the Tibetan Plateau (TP) plays a role in climate and hydrological systems, yet there are uncertainties in snow cover fraction (SCF) estimations within reanalysis datasets. This study utilized the Snow Property Inversion from Remote Sensing (SPIReS) SCF data to assess the accuracy of eight widely used reanalysis SCF datasets over the TP. Factors contributing to uncertainties were analyzed, and a combined averaging method was employed to provide optimized SCF simulations.
Benjamin Poschlod and Anne Sophie Daloz
The Cryosphere, 18, 1959–1981, https://doi.org/10.5194/tc-18-1959-2024, https://doi.org/10.5194/tc-18-1959-2024, 2024
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Information about snow depth is important within climate research but also many other sectors, such as tourism, mobility, civil engineering, and ecology. Climate models often feature a spatial resolution which is too coarse to investigate snow depth. Here, we analyse high-resolution simulations and identify added value compared to a coarser-resolution state-of-the-art product. Also, daily snow depth extremes are well reproduced by two models.
Zachary Hoppinen, Shadi Oveisgharan, Hans-Peter Marshall, Ross Mower, Kelly Elder, and Carrie Vuyovich
The Cryosphere, 18, 575–592, https://doi.org/10.5194/tc-18-575-2024, https://doi.org/10.5194/tc-18-575-2024, 2024
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We used changes in radar echo travel time from multiple airborne flights to estimate changes in snow depths across Idaho for two winters. We compared our radar-derived retrievals to snow pits, weather stations, and a 100 m resolution numerical snow model. We had a strong Pearson correlation and root mean squared error of 10 cm relative to in situ measurements. Our retrievals also correlated well with our model, especially in regions of dry snow and low tree coverage.
Yiwen Fang, Yufei Liu, Dongyue Li, Haorui Sun, and Steven A. Margulis
The Cryosphere, 17, 5175–5195, https://doi.org/10.5194/tc-17-5175-2023, https://doi.org/10.5194/tc-17-5175-2023, 2023
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Using newly developed snow reanalysis datasets as references, snow water storage is at high uncertainty among commonly used global products in the Andes and low-resolution products in the western United States, where snow is the key element of water resources. In addition to precipitation, elevation differences and model mechanism variances drive snow uncertainty. This work provides insights for research applying these products and generating future products in areas with limited in situ data.
Kerttu Kouki, Kari Luojus, and Aku Riihelä
The Cryosphere, 17, 5007–5026, https://doi.org/10.5194/tc-17-5007-2023, https://doi.org/10.5194/tc-17-5007-2023, 2023
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We evaluated snow cover properties in state-of-the-art reanalyses (ERA5 and ERA5-Land) with satellite-based datasets. Both ERA5 and ERA5-Land overestimate snow mass, whereas albedo estimates are more consistent between the datasets. Snow cover extent (SCE) is accurately described in ERA5-Land, while ERA5 shows larger SCE than the satellite-based datasets. The trends in snow mass, SCE, and albedo are mostly negative in 1982–2018, and the negative trends become more apparent when spring advances.
Kelsey Spehlmann, Eugénie Euskirchen, and Svetlana Stuefer
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-153, https://doi.org/10.5194/tc-2023-153, 2023
Revised manuscript accepted for TC
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Sublimation is the hidden portion of the water cycle where snow changes phase directly to water vapor, skipping the liquid state. Though sublimation is difficult to measure, especially in remote regions such as arctic and subarctic Alaska where this study took place, our measurements confirm that sublimation is a substantial component of the annual water cycle. Results from this research contribute to knowledge of how site conditions affect sublimation rates and the winter hydrologic cycle.
Diego Monteiro and Samuel Morin
The Cryosphere, 17, 3617–3660, https://doi.org/10.5194/tc-17-3617-2023, https://doi.org/10.5194/tc-17-3617-2023, 2023
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Beyond directly using in situ observations, often sparsely available in mountain regions, climate model simulations and so-called reanalyses are increasingly used for climate change impact studies. Here we evaluate such datasets in the European Alps from 1950 to 2020, with a focus on snow cover information and its main drivers: air temperature and precipitation. In terms of variability and trends, we identify several limitations and provide recommendations for future use of these datasets.
Leon J. Bührle, Mauro Marty, Lucie A. Eberhard, Andreas Stoffel, Elisabeth D. Hafner, and Yves Bühler
The Cryosphere, 17, 3383–3408, https://doi.org/10.5194/tc-17-3383-2023, https://doi.org/10.5194/tc-17-3383-2023, 2023
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Information on the snow depth distribution is crucial for numerous applications in high-mountain regions. However, only specific measurements can accurately map the present variability of snow depths within complex terrain. In this study, we show the reliable processing of images from aeroplane to large (> 100 km2) detailed and accurate snow depth maps around Davos (CH). We use these maps to describe the existing snow depth distribution, other special features and potential applications.
Xuemei Li, Xinyu Liu, Kaixin Zhao, Xu Zhang, and Lanhai Li
The Cryosphere, 17, 2437–2453, https://doi.org/10.5194/tc-17-2437-2023, https://doi.org/10.5194/tc-17-2437-2023, 2023
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Quantifying change in the potential snowfall phenology (PSP) is an important area of research for understanding regional climate change past, present, and future. However, few studies have focused on the PSP and its change in alpine mountainous regions. We proposed three innovative indicators to characterize the PSP and its spatial–temporal variation. Our study provides a novel approach to understanding PSP in alpine mountainous regions and can be easily extended to other snow-dominated regions.
Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023, https://doi.org/10.5194/tc-17-653-2023, 2023
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Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series of non-homogenised observational data. However, like other long-term series from observations, they are susceptible to inhomogeneities that can affect the trends and even change the sign. To assess the relevance of homogenisation for daily snow depths, we investigated its impact on trends and changes in extreme values of snow indices between 1961 and 2021 in the Swiss observation network.
Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki
The Cryosphere, 16, 4907–4930, https://doi.org/10.5194/tc-16-4907-2022, https://doi.org/10.5194/tc-16-4907-2022, 2022
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Snow depth varies across steep, complex mountain landscapes due to interactions between dynamic natural processes. Our study of a winter time series of high-resolution snow depth maps found that spatial resolutions greater than 0.5 m do not capture the complete patterns of snow depth spatial variability at a couloir study site in the Bridger Range of Montana, USA. The results of this research have the potential to reduce uncertainty associated with snowpack and snow water resource analysis.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022, https://doi.org/10.5194/tc-16-4201-2022, 2022
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Measurements of the properties of the snow and soil were compared to simulations of the Community Land Model to see how well the model represents snow insulation. Simulations underestimated snow thermal conductivity and wintertime soil temperatures. We test two approaches to reduce the transfer of heat through the snowpack and bring simulated soil temperatures closer to measurements, with an alternative parameterisation of snow thermal conductivity being more appropriate.
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
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Knowledge about inhomogeneities in a data set is important for any subsequent climatological analysis. We ran three well-established homogenization methods and compared the identified break points. By only treating breaks as valid when detected by at least two out of three methods, we enhanced the robustness of our results. We found 45 breaks within 42 of 184 investigated series; of these 70 % could be explained by events recorded in the station history.
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
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The mountainous snow cover is highly variable at all temporal and spatial scales. Snow cover models suffer from large errors, while snowpack observations are sparse. Data assimilation combines them into a better estimate of the snow cover. A major challenge is to propagate information from observed into unobserved areas. This paper presents a spatialized version of the particle filter, in which information from in situ snow depth observations is successfully used to constrain nearby simulations.
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
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We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.
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
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Cold content is the energy required to attain an isothermal (0 °C) state and resulting in the snow surface melt. This study focuses on determining the multi-layer cold content (30 min time steps) relying on field measurements, snow temperature profile, and empirical formulation in four distinct forest sites of Montmorency Forest, eastern Canada. We present novel research where the effect of forest structure, local topography, and meteorological conditions on cold content variability is explored.
Yufei Liu, Yiwen Fang, and Steven A. Margulis
The Cryosphere, 15, 5261–5280, https://doi.org/10.5194/tc-15-5261-2021, https://doi.org/10.5194/tc-15-5261-2021, 2021
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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.
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
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We investigated the impacts of local-scale variations by analysing snow climate indicators derived from parallel snow measurements. We found the largest relative inter-pair differences for all indicators in spring and the smallest in winter. The findings serve as an important basis for our understanding of uncertainties of commonly used snow indicators and provide, in combination with break-detection methods, the groundwork in view of any homogenization efforts regarding snow time series.
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021, https://doi.org/10.5194/tc-15-1343-2021, 2021
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The first Alpine-wide assessment of station snow depth has been enabled by a collaborative effort of the research community which involves more than 30 partners, 6 countries, and more than 2000 stations. It shows how snow in the European Alps matches the climatic zones and gives a robust estimate of observed changes: stronger decreases in the snow season at low elevations and in spring at all elevations, however, with considerable regional differences.
Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang
The Cryosphere, 15, 771–791, https://doi.org/10.5194/tc-15-771-2021, https://doi.org/10.5194/tc-15-771-2021, 2021
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High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.
François Tuzet, Marie Dumont, Ghislain Picard, Maxim Lamare, Didier Voisin, Pierre Nabat, Mathieu Lafaysse, Fanny Larue, Jesus Revuelto, and Laurent Arnaud
The Cryosphere, 14, 4553–4579, https://doi.org/10.5194/tc-14-4553-2020, https://doi.org/10.5194/tc-14-4553-2020, 2020
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This study presents a field dataset collected over 30 d from two snow seasons at a Col du Lautaret site (French Alps). The dataset compares different measurements or estimates of light-absorbing particle (LAP) concentrations in snow, highlighting a gap in the current understanding of the measurement of these quantities. An ensemble snowpack model is then evaluated for this dataset estimating that LAPs shorten each snow season by around 10 d despite contrasting meteorological conditions.
Jianwei Yang, Lingmei Jiang, Kari Luojus, Jinmei Pan, Juha Lemmetyinen, Matias Takala, and Shengli Wu
The Cryosphere, 14, 1763–1778, https://doi.org/10.5194/tc-14-1763-2020, https://doi.org/10.5194/tc-14-1763-2020, 2020
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There are many challenges for accurate snow depth estimation using passive microwave data. Machine learning (ML) techniques are deemed to be powerful tools for establishing nonlinear relations between independent variables and a given target variable. In this study, we investigate the potential capability of the random forest (RF) model on snow depth estimation at temporal and spatial scales. The result indicates that the fitted RF algorithms perform better on temporal than spatial scales.
Colleen Mortimer, Lawrence Mudryk, Chris Derksen, Kari Luojus, Ross Brown, Richard Kelly, and Marco Tedesco
The Cryosphere, 14, 1579–1594, https://doi.org/10.5194/tc-14-1579-2020, https://doi.org/10.5194/tc-14-1579-2020, 2020
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Existing stand-alone passive microwave SWE products have markedly different climatological SWE patterns compared to reanalysis-based datasets. The AMSR-E SWE has low spatial and temporal correlations with the four reanalysis-based products evaluated and GlobSnow and perform poorly in comparisons with snow transect data from Finland, Russia, and Canada. There is better agreement with in situ data when multiple SWE products, excluding the stand-alone passive microwave SWE products, are combined.
Céline Portenier, Fabia Hüsler, Stefan Härer, and Stefan Wunderle
The Cryosphere, 14, 1409–1423, https://doi.org/10.5194/tc-14-1409-2020, https://doi.org/10.5194/tc-14-1409-2020, 2020
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We present a method to derive snow cover maps from freely available webcam images in the Swiss Alps. With marginal manual user input, we can transform a webcam image into a georeferenced map and therewith perform snow cover analyses with a high spatiotemporal resolution over a large area. Our evaluation has shown that webcams could not only serve as a reference for improved validation of satellite-based approaches, but also complement satellite-based snow cover retrieval.
Markus Todt, Nick Rutter, Christopher G. Fletcher, and Leanne M. Wake
The Cryosphere, 13, 3077–3091, https://doi.org/10.5194/tc-13-3077-2019, https://doi.org/10.5194/tc-13-3077-2019, 2019
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Vegetation is often represented by a single layer in global land models. Studies have found deficient simulation of thermal radiation beneath forest canopies when represented by single-layer vegetation. This study corrects thermal radiation in forests for a global land model using single-layer vegetation in order to assess the effect of deficient thermal radiation on snow cover and snowmelt. Results indicate that single-layer vegetation causes snow in forests to be too cold and melt too late.
David F. Hill, Elizabeth A. Burakowski, Ryan L. Crumley, Julia Keon, J. Michelle Hu, Anthony A. Arendt, Katreen Wikstrom Jones, and Gabriel J. Wolken
The Cryosphere, 13, 1767–1784, https://doi.org/10.5194/tc-13-1767-2019, https://doi.org/10.5194/tc-13-1767-2019, 2019
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We present a new statistical model for converting snow depths to water equivalent. The only variables required are snow depth, day of year, and location. We use the location to look up climatological parameters such as mean winter precipitation and mean temperature difference (difference between hottest month and coldest month). The model is simple by design so that it can be applied to depth measurements anywhere, anytime. The model is shown to perform better than other widely used approaches.
Yue Zhou, Hui Wen, Jun Liu, Wei Pu, Qingcai Chen, and Xin Wang
The Cryosphere, 13, 157–175, https://doi.org/10.5194/tc-13-157-2019, https://doi.org/10.5194/tc-13-157-2019, 2019
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We first investigated the optical characteristics and potential sources of chromophoric dissolved organic matter (CDOM) in seasonal snow over northwestern China. The abundance of CDOM showed regional variation. At some sites strongly influenced by local soil, the absorption of CDOM cannot be neglected compared to black carbon. We found two humic-like and one protein-like fluorophores in snow. The major sources of snow CDOM were soil, biomass burning, and anthropogenic pollution.
Benjamin J. Hatchett and Hilary G. Eisen
The Cryosphere, 13, 21–28, https://doi.org/10.5194/tc-13-21-2019, https://doi.org/10.5194/tc-13-21-2019, 2019
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We examine the timing of early season snowpack relevant to oversnow vehicle (OSV) recreation over the past 3 decades in the Lake Tahoe region (USA). Data from two independent data sources suggest that the timing of achieving sufficient snowpack has shifted later by 2 weeks. Increasing rainfall and more dry days play a role in the later onset. Adaptation strategies are provided for winter travel management planning to address negative impacts of loss of early season snowpack for OSV usage.
Deborah Verfaillie, Matthieu Lafaysse, Michel Déqué, Nicolas Eckert, Yves Lejeune, and Samuel Morin
The Cryosphere, 12, 1249–1271, https://doi.org/10.5194/tc-12-1249-2018, https://doi.org/10.5194/tc-12-1249-2018, 2018
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This article addresses local changes of seasonal snow and its meteorological drivers, at 1500 m altitude in the Chartreuse mountain range in the Northern French Alps, for the period 1960–2100. We use an ensemble of adjusted RCM outputs consistent with IPCC AR5 GCM outputs (RCPs 2.6, 4.5 and 8.5) and the snowpack model Crocus. Beyond scenario-based approach, global temperature levels on the order of 1.5 °C and 2 °C above preindustrial levels correspond to 25 and 32% reduction of mean snow depth.
Cited articles
Ayala, A., Pellicciotti, F., and Shea, J. M.: Modeling 2 m air temperatures
over mountain glaciers: Exploring the influence of katabatic cooling and
external warming, J. Geophys. Res.-Atmos., 120, 3139–3157,
https://doi.org/10.1002/2015JD023137, 2015.
Bahr, D. B. and Radic, V.: Significant contribution to total mass from very
small glaciers, The Cryosphere, 6, 763–770,
https://doi.org/10.5194/tc-6-763-2012, 2012.
Curtis, J. A., Flint, L. E., Flint, A. L., Lundquist, J. D., Hudgens, B.,
Boydston, E. E., and Young, J. K.: Incorporating Cold-Air Pooling into
Downscaled Climate Models Increases Potential Refugia for Snow-Dependent
Species within the Sierra Nevada Ecoregion, CA, PLoS ONE, 9, e106984
https://doi.org/10.1371/journal.pone.0106984, 2014.
Dadic, R., Mott, R., Lehning, M., and Burlando, P.: Wind influence on snow
depth distribution and accumulation over glaciers, J. Geophys. Res., 115,
F01012, https://doi.org/10.1029/2009JF001261, 2010.
Dadic, R., Mott, R., Lehning, M., Carenzo, M., Anderson, B., and Mackintosh,
A.: Sensitivity of turbulent fluxes to wind speed over snow surfaces in
different climatic settings, Adv. Water Resour., 55, 178–189,
https://doi.org/10.1016/j.advwatres.2012.06.010, 2013.
Denby, B.: Second-Order Modelling of Turbulence in Katabatic Flows,
Bound.-Lay. Meteorol., 92, 67–100, https://doi.org/10.1023/A:1001796906927, 1999.
Denby, B. and Greuell, W.: The use of bulk and profile methods for
determining surface heat fluxes in the presence of glacier winds, J.
Glaciol., 46, 445–452, 2000.
Dickich, A. N. and Hagg, W.: Climate driven changes of glacier runoff in the
Issyk-Kul basin, Kyrgyzstan, Zeitschrift für Gletscherkunde und
Glazialgeologie, 39, 75–86, 2004.
Egli, L., Jonas, T., Grünewald, T., Schirmer, M., and Burlando, P.:
Dynamics of snow ablation in a small Alpine catchment observed by repeated
terrestrial laser scans, Hydrol. Process., 26, 1574–1585, 2012.
Escher-Vetter, H.: Zum Gletscherverhalten in den Alpen im zwanzigsten
Jahrhundert, in: Klimastatusbericht 2001, Deutscher Wetterdienst, Offenbach,
51–57, 2002.
Essery, R., Granger, R., and Pomeroy, J. W.: Boundary-layer growthand
advection of heat over snow and soil patches: modelling andparameterization,
Hydrol. Process., 20, 953–967, 2006.
Fujita, K., Hiyama, K., Iida, H., and Ageta, Y.: Self-regulated fluctuations
in the ablation of a snow patch over four decades, Water Resour. Res., 46,
W11541, https://doi.org/10.1029/2009WR008383, 2010.
Gerber, F., Lehning, M., Hoch, S. W., and Mott, R.: A close-ridge small-scale
atmospheric flow field and its influence on snow accumulation, J. Geophys.
Res.-Atmos., 122, 7737–7754, https://doi.org/10.1002/2016JD026258, 2017.
Gerber, F., Mott, R., and Lehning, M.: The Importance of Near-Surface Winter
Precipitation Processes in Complex Alpine Terrain, J. Hydrometeorol., 20,
177–196, https://doi.org/10.1175/JHM-D-18-0055.1, 2019.
Glazirin, G. E.: Distribution and Regime of Mountain Glaciers, Leningrad,
Gidrometeoizdat, 179 pp., 1985 (in Russian).
Greuell, W. and Böhm, R.: 2 m temperatures along melting mid latitude
glaciers, and implications for the sensitivity of the mass balance to
variations in temperature, J. Glaciol., 146, 9–20, 1998.
Grudzielanek, A. M. and Cermak, J.: Capturing cold-air flow using thermal
imaging, Bound.-Lay. Meteorol., 157, 321–332, https://doi.org/10.1007/s10546-015-0042-8,
2015.
Grünewald, T. and Wolfsperger, F.: Water Losses During Technical Snow
Production: Results From Field Experiments, Front. Earth Sci., 7, 78,
https://doi.org/10.3389/feart.2019.00078, online first, 2019.
Grünewald, T., Schirmer, M., Mott, R., and Lehning, M.: Spatial and
temporal variability of snow depth and ablation rates in a small mountain
catchment, The Cryosphere, 4, 215–225,
https://doi.org/10.5194/tc-4-215-2010, 2010.
Grünewald, T., Wolfsperger, F., and Lehning, M.: Snow farming: conserving
snow over the summer season, The Cryosphere, 12, 385–400,
https://doi.org/10.5194/tc-12-385-2018, 2018.
Hantel, M., Maurer, C., and Mayer, D.: The snowline climate of the Alps
1961–2010, Theor. Appl. Climatol., 110, 517–537,
https://doi.org/10.1007/s00704-012-0688-9, 2012.
Hornauer, W. and Eichner, B.: Bestimmung der Flächen- und
Volumenänderung der Eiskapelle am Watzmann, unpublished thesis, Technical
University of Munich, Munich, 1997.
Kaser, G., Hardy, D. R., Mölg, T., Bradley, R. S., and Hyera, T. M.:
Modern glacier retreat on Kilimanjaro as evidence of climate change:
observations and facts, Int. J. Climatol., 24, 329–339,
https://doi.org/10.1002/joc.1008, 2004.
Kaser, G., Cogley, J. G., Dyurgerov, M. B., Meier, M. F., and Ohmura, A.:
Mass balance of glaciers and ice caps: Consensus estimates for 1961–2004,
Geophys. Res. Lett., 33, L19501, https://doi.org/10.1029/2006GL027511, 2006.
Kuhn, M.: The mass balance of very small glaciers, Zeitschrift für
Gletscherkunde und Glazialgeologie, 31, 171–179, 1995.
Kuhn, M., Lambrecht, A., Abermann, J., Patzelt, G., and Gross, G.: Austrian
Glaciers 1998 and 1969: Area and Volume Changes, Zeitschrift für
Gletscherkunde und Glazialgeologie, 43/44, 3–107, 2012.
Marsh, P. and Pomeroy, J. W.: Meltwater fluxes at an arctic forest-tundra
site, Hydrol. Process, 10, 1383–1400, 1996.
Mölg, T., Cullen, N. J., and Kaser, G.: Solar radiation, cloudiness and
longwave radiation over low-latitude glaciers: Implications for mass balance
modeling, J. Glaciol., 55, 292–302, 2009.
Mott, R., Schirmer, M., Bavay, M., Grünewald, T., and Lehning, M.:
Understanding snow-transport processes shaping the mountain snow-cover, The
Cryosphere, 4, 545–559, https://doi.org/10.5194/tc-4-545-2010, 2010.
Mott, R., Egli, L., Grünewald, T., Dawes, N., Manes, C., Bavay, M., and
Lehning, M.: Micrometeorological processes driving snow ablation in an Alpine
catchment, The Cryosphere, 5, 1083–1098,
https://doi.org/10.5194/tc-5-1083-2011, 2011.
Mott, R., Gromke, C., Grünewald, T., Lehning, M.: Relative importance of
advective heat transport and boundary layer decoupling in the melt dynamics
of a patchy snow cover, Adv. Water Resour., 55, 88–97,
https://doi.org/10.1016/j.advwatres.2012.03.001, 2013.
Mott, R., Scipion, D. E., Schneebeli, M., Dawes, N., and Lehning, M.:
Orographic effects on snow deposition patterns in mountainous terrain, J.
Geophys. Res.-Atmos., 119, 1419–1439, https://doi.org/10.1002/2013JD019880, 2014.
Mott, R., Daniels, M., and Lehning, M.: Atmospheric flow development and
associated changes in turbulent sensible heat flux over a patchy mountain
snow cover, J. Hydrometeorol., 16, 1315–1340, https://doi.org/10.1175/JHM-D-14-0036.1,
2015.
Mott, R., Paterna, E., Horender, S., Crivelli, P., and Lehning, M.: Wind
tunnel experiments: cold-air pooling and atmospheric decoupling above a
melting snow patch, The Cryosphere, 10, 445–458,
https://doi.org/10.5194/tc-10-445-2016, 2016.
Mott, R., Schlögl, S., Dirks, L., and Lehning, M.: Impact of Extreme Land
Surface Heterogeneity on Micrometeorology over Spring Snow Cover, J.
Hydrometeorol., 18, 2705–2722, https://doi.org/10.1175/JHM-D-17-0074.1, 2017.
Mott, R., Vionnet, V., and Grünewald, T.: The seasonal Snow Cover
Dynamics: Review on Wind-Driven Coupling Processes, Front. Earth Sci., 6,
197, https://doi.org/10.3389/feart.2018.00197, 2018.
Müller, P.: Parametrisierung der Gletscher-Klima-Beziehung für die
Praxis: Grundlagen und Beispiele, Mitteilungen der VAW/ETHZ, 228 pp., 1988.
Nicholson, L. I., Prinz, R., Mölg, T., and Kaser, G.: Micrometeorological
conditions and surface mass and energy fluxes on Lewis Glacier, Mt Kenya, in
relation to other tropical glaciers, The Cryosphere, 7, 1205–1225,
https://doi.org/10.5194/tc-7-1205-2013, 2013.
Oerlemans, J.: Glaciers and Climate Change, Lisse, Balkema, 148 pp., 2001.
Oerlemans, J. and Grisogono, B.: Glacier winds and parameterisation of the
related surface heat fluxes, Tellus A, 54, 440–452,
https://doi.org/10.1034/j.1600-0870.2002.201398.x, 2002.
Oerlemans, J. and Van Den Broeke, M.: Katabatic flows over ice sheets and
glaciers, Tellus A, 54, 440–452, https://doi.org/10.1034/j.1600-0870.2002.201398.x,
2002.
Paul, F., Kääb, A., Maisch, M., Kellenberger, T., and Haeberli, W.:
Rapid disintegration of Alpine glaciers observed with satellite data,
Geophys. Res. Lett., 31, L21402, https://doi.org/10.1029/2004GL020816, 2004.
Petersen, L., Pellicciotti, F., Juszak, I., Carenzo, M., and Brock, B.:
Suitability of a constant air temperature lapse rate over an Alpine glacier:
testing the Greuell and Böhm model as an alternative, Ann. Glaciol., 54,
120–130, https://doi.org/10.3189/2013AoG63A477, 2013.
Pohl, S., Garvelmann, J., Wawerla, J., and Weiler, M.: Potential of an
innovative low cost sensor network to understand the spatial and temporal
dynamics of a mountain snow cover, Water Resour. Res., 50, 2533–2550,
https://doi.org/10.1002/2013WR014594, 2014.
Prokop, A., Schirmer, M., Rub, M., Lehning, M., and Stocker, M.: A comparison
of measurement methods: Terrestrial laser scanning, tachymetry and snow
probing, for the determination of spatial snow depth distribution on slopes,
Ann. Glaciol., 49, 210–216, https://doi.org/10.3189/172756408787814726, 2008.
Quinn, P., Chevallier, P., and Planchon, O.: The prediction of hillslope flow
paths for distributed hydrological modelling using digital terrain models
Hydrol. Process., 5, 59–79, 1991.
Raderschall, N., Lehning, M., and Schär, C.: Fine-scale modeling of the
boundary layer wind field over steep topography, Water Resour. Res., 44,
W09425, https://doi.org/10.1029/2007WR006544, 2008.
Radić, V. and Hock, R.: Regionally differentiated contribution of
mountain glaciers and ice caps to future sea-level rise, Nat. Geosci., 4,
91–94, https://doi.org/10.1038/ngeo1052, 2011.
Revuelto, J., López-Moreno, J. I., Azorin-Molina, C., and
Vicente-Serrano, S. M.: Topographic control of snowpack distribution in a
small catchment in the central Spanish Pyrenees: intra- and inter-annual
persistence, The Cryosphere, 8, 1989–2006,
https://doi.org/10.5194/tc-8-1989-2014, 2014.
Riegl Laser Measurement Systems GmbH: RiScan Pro: Viewer, Acquisition and
Processing Software, Software Description and User's Instructions, Horn,
Austria, 2011.
Rödder, T., Braun, L., and Mayer, C.: Accumulation and snow
redistribution processes at the Ice Chapel, Berchtesgaden Alps, Zeitschrift
für Glaziologie und Glazialgeologie, 42, 3–20, 2010.
Schaffhauser, A., Adams, M., Fromm, R., Jörg, P., Luzi, G., Noferini, L.,
and Sailer, R.: Remote sensing based retrieval of snow cover properties, Cold
Reg. Sci. Technol., 54, 164–175, https://doi.org/10.1016/j.coldregions.2008.07.007,
2008.
Schirmer, M., Wirz, V., Clifton, A., and Lehning, M.: Persistence in intra-
1366 annual snow depth distribution: 1. Measurements and topographic control,
Water Resour. Res., 47, W09516, https://doi.org/10.1029/2010WR009426, 2011.
Schlögl, S., Lehning, M., Fierz, C., and Mott R.: Representation of
Horizontal Transport Processes in Snowmelt Modeling by Applying a Footprint
Approach, Front. Earth Sci., 6, 120, https://doi.org/10.3389/feart.2018.00120, 2018a.
Schlögl, S., Lehning, M., and Mott, R.: How are turbulent sensible heat
fluxes and snow melt rates affected by a changing snow cover fraction?,
Front. Earth Sci., 6, 154, https://doi.org/10.3389/feart.2018.00154, 2018b.
Shea, J. M. and Moore, R. D.: Prediction of spatially distributed
regional-scale fields of air temperature and vapor pressure over mountain
glaciers, J. Geophys. Res., 115, D23107, https://doi.org/10.1029/2010JD014351, 2010.
Sommer, C. G., Lehning, M., and Mott, R.: Snow in a Very Steep Rock Face:
Accumulation and Redistribution During and After a Snowfall Event, Front.
Earth Sci., 3, 73, https://doi.org/10.3389/feart.2015.00073, 2015.
Strasser, U., Corripio, J., Pellicciotti, F., Burlando, P., Brock, B., and
Funk, M.: Spatial and temporal variability of meteorological variables at
Haut Glacier d'Arolla (Switzerland) during the ablation season 2001:
measurements and simulations, J. Geophys. Res., 109, D03103,
https://doi.org/10.1029/2003JD003973, 2004.
Warscher, M., Strasser, U., Kraller, G., Marke, T., Franz, H., and Kunstmann
H.: Performance of complex snow cover descriptions in a distributed
hydrological model system: A case study for the high Alpine terrain of the
Berchtesgaden Alps, Water Resour. Res., 49, 2619–2637,
https://doi.org/10.1002/wrcr.20219, 2013.
Wolf, A.: Die Eiskapelle am Königssee – ein schmelzendes Naturwunder? 23
Jahre Höhlenforschung im Gletschereis des Nationalpark Berchtesgaden,
Untertage Alpin, 2007, 86–88, 2007.
Short summary
The mass balance of very small glaciers is often governed by anomalous snow accumulation, winter precipitation being multiplied by snow redistribution processes, or by suppressed snow ablation driven by micrometeorological effects lowering net radiation and turbulent heat exchange. In this study we discuss the relative contribution of snow accumulation (avalanches) versus micrometeorology (katabatic flow) on the mass balance of the lowest perennial ice field of the Alps, the Ice Chapel.
The mass balance of very small glaciers is often governed by anomalous snow accumulation, winter...
