---
_id: '14487'
abstract:
- lang: eng
  text: High Mountain Asia (HMA) is among the most vulnerable water towers globally
    and yet future projections of water availability in and from its high-mountain
    catchments remain uncertain, as their hydrologic response to ongoing environmental
    changes is complex. Mechanistic modeling approaches incorporating cryospheric,
    hydrological, and vegetation processes in high spatial, temporal, and physical
    detail have never been applied for high-elevation catchments of HMA. We use a
    land surface model at high spatial and temporal resolution (100 m and hourly)
    to simulate the coupled dynamics of energy, water, and vegetation for the 350
    km2 Langtang catchment (Nepal). We compare our model outputs for one hydrological
    year against a large set of observations to gain insight into the partitioning
    of the water balance at the subseasonal scale and across elevation bands. During
    the simulated hydrological year, we find that evapotranspiration is a key component
    of the total water balance, as it causes about the equivalent of 20% of all the
    available precipitation or 154% of the water production from glacier melt in the
    basin to return directly to the atmosphere. The depletion of the cryospheric water
    budget is dominated by snow melt, but at high elevations is primarily dictated
    by snow and ice sublimation. Snow sublimation is the dominant vapor flux (49%)
    at the catchment scale, accounting for the equivalent of 11% of snowfall, 17%
    of snowmelt, and 75% of ice melt, respectively. We conclude that simulations should
    consider sublimation and other evaporative fluxes explicitly, as otherwise water
    balance estimates can be ill-quantified.
acknowledgement: This project has received funding from the JSPS-SNSF (Japan Society
  for the Promotion of Science and Swiss National Science Foundation) Bilateral Programmes
  project (HOPE, High-ele-vation precipitation in High Mountain Asia; Grant 183633),
  and the European Research Council (ERC) under the European Union's Horizon 2020
  research and innovation program (RAVEN, Rapid mass losses of debris-covered glaciers
  in High Mountain Asia; Grant 772751). We want to thank in particular T. Gurung,
  S. Joshi, J. Shea, W. Immerzeel, and others involved, as well as ICIMOD, for their
  efforts over the past years in observing the meteorology of the Langtang catchment,
  collecting and organizing the data and making them publicly available. We also thank
  the National Geographic Society (Grant NGS-61784R-19) and the Mount Everest Foundation
  (reference 19-24) for providing fieldwork funding for C. L. Fyffe. We thank T. Kramer
  for help with the WSL Hyperion cluster. We are grate-ful for comments by three anonymous
  reviewers and the Associate Editor, who greatly helped to improve the manuscript
  further. Open access funding provided by ETH-Bereich Forschungsanstalten.
article_number: e2022WR033841
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Pascal
  full_name: Buri, Pascal
  last_name: Buri
- first_name: Simone
  full_name: Fatichi, Simone
  last_name: Fatichi
- first_name: Thomas
  full_name: Shaw, Thomas
  id: 3caa3f91-1f03-11ee-96ce-e0e553054d6e
  last_name: Shaw
- first_name: Evan S.
  full_name: Miles, Evan S.
  last_name: Miles
- first_name: Michael
  full_name: Mccarthy, Michael
  id: 22a2674a-61ce-11ee-94b5-d18813baf16f
  last_name: Mccarthy
- first_name: Catriona Louise
  full_name: Fyffe, Catriona Louise
  id: 001b0422-8d15-11ed-bc51-cab6c037a228
  last_name: Fyffe
- first_name: Stefan
  full_name: Fugger, Stefan
  last_name: Fugger
- first_name: Shaoting
  full_name: Ren, Shaoting
  last_name: Ren
- first_name: Marin
  full_name: Kneib, Marin
  last_name: Kneib
- first_name: Achille
  full_name: Jouberton, Achille
  last_name: Jouberton
- first_name: Jakob
  full_name: Steiner, Jakob
  last_name: Steiner
- first_name: Koji
  full_name: Fujita, Koji
  last_name: Fujita
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
  orcid: 0000-0002-5554-8087
citation:
  ama: 'Buri P, Fatichi S, Shaw T, et al. Land surface modeling in the Himalayas:
    On the importance of evaporative fluxes for the water balance of a high-elevation
    catchment. <i>Water Resources Research</i>. 2023;59(10). doi:<a href="https://doi.org/10.1029/2022WR033841">10.1029/2022WR033841</a>'
  apa: 'Buri, P., Fatichi, S., Shaw, T., Miles, E. S., McCarthy, M., Fyffe, C. L.,
    … Pellicciotti, F. (2023). Land surface modeling in the Himalayas: On the importance
    of evaporative fluxes for the water balance of a high-elevation catchment. <i>Water
    Resources Research</i>. Wiley. <a href="https://doi.org/10.1029/2022WR033841">https://doi.org/10.1029/2022WR033841</a>'
  chicago: 'Buri, Pascal, Simone Fatichi, Thomas Shaw, Evan S. Miles, Michael McCarthy,
    Catriona Louise Fyffe, Stefan Fugger, et al. “Land Surface Modeling in the Himalayas:
    On the Importance of Evaporative Fluxes for the Water Balance of a High-Elevation
    Catchment.” <i>Water Resources Research</i>. Wiley, 2023. <a href="https://doi.org/10.1029/2022WR033841">https://doi.org/10.1029/2022WR033841</a>.'
  ieee: 'P. Buri <i>et al.</i>, “Land surface modeling in the Himalayas: On the importance
    of evaporative fluxes for the water balance of a high-elevation catchment,” <i>Water
    Resources Research</i>, vol. 59, no. 10. Wiley, 2023.'
  ista: 'Buri P, Fatichi S, Shaw T, Miles ES, McCarthy M, Fyffe CL, Fugger S, Ren
    S, Kneib M, Jouberton A, Steiner J, Fujita K, Pellicciotti F. 2023. Land surface
    modeling in the Himalayas: On the importance of evaporative fluxes for the water
    balance of a high-elevation catchment. Water Resources Research. 59(10), e2022WR033841.'
  mla: 'Buri, Pascal, et al. “Land Surface Modeling in the Himalayas: On the Importance
    of Evaporative Fluxes for the Water Balance of a High-Elevation Catchment.” <i>Water
    Resources Research</i>, vol. 59, no. 10, e2022WR033841, Wiley, 2023, doi:<a href="https://doi.org/10.1029/2022WR033841">10.1029/2022WR033841</a>.'
  short: P. Buri, S. Fatichi, T. Shaw, E.S. Miles, M. McCarthy, C.L. Fyffe, S. Fugger,
    S. Ren, M. Kneib, A. Jouberton, J. Steiner, K. Fujita, F. Pellicciotti, Water
    Resources Research 59 (2023).
date_created: 2023-11-05T23:00:53Z
date_published: 2023-10-25T00:00:00Z
date_updated: 2023-11-07T08:12:34Z
day: '25'
ddc:
- '550'
department:
- _id: FrPe
doi: 10.1029/2022WR033841
file:
- access_level: open_access
  checksum: 7ba9c87228dc09029b16bc800a0ef1a1
  content_type: application/pdf
  creator: dernst
  date_created: 2023-11-07T08:10:44Z
  date_updated: 2023-11-07T08:10:44Z
  file_id: '14495'
  file_name: 2023_WaterResourcesResearch_Buri.pdf
  file_size: 5554901
  relation: main_file
  success: 1
file_date_updated: 2023-11-07T08:10:44Z
has_accepted_license: '1'
intvolume: '        59'
issue: '10'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '10'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
  record:
  - id: '14494'
    relation: research_data
    status: public
scopus_import: '1'
status: public
title: 'Land surface modeling in the Himalayas: On the importance of evaporative fluxes
  for the water balance of a high-elevation catchment'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 59
year: '2023'
...
---
_id: '12594'
abstract:
- lang: eng
  text: Information about end-of-winter spatial distribution of snow depth is important
    for seasonal forecasts of spring/summer streamflow in high-mountain regions. Nevertheless,
    such information typically relies upon extrapolation from a sparse network of
    observations at low elevations. Here, we test the potential of high-resolution
    snow depth data derived from optical stereophotogrammetry of Pléiades satellites
    for improving the representation of snow depth initial conditions (SDICs) in a
    glacio-hydrological model and assess potential improvements in the skill of snowmelt
    and streamflow simulations in a high-elevation Andean catchment. We calibrate
    model parameters controlling glacier mass balance and snow cover evolution using
    ground-based and satellite observations, and consider the relative importance
    of accurate estimates of SDICs compared to model parameters and forcings. We find
    that Pléiades SDICs improve the simulation of snow-covered area, glacier mass
    balance, and monthly streamflow compared to alternative SDICs based upon extrapolation
    of meteorological variables or statistical methods to estimate SDICs based upon
    topography. Model simulations are found to be sensitive to SDICs in the early
    spring (up to 48% variability in modeled streamflow compared to the best estimate
    model), and to temperature gradients in all months that control albedo and melt
    rates over a large elevation range (>2,400 m). As such, appropriately characterizing
    the distribution of total snow volume with elevation is important for reproducing
    total streamflow and the proportions of snowmelt. Therefore, optical stereo-photogrammetry
    offers an advantage for obtaining SDICs that aid both the timing and magnitude
    of streamflow simulations, process representation (e.g., snow cover evolution)
    and has the potential for large spatial domains.
article_number: e2020WR027188
article_processing_charge: No
article_type: original
author:
- first_name: Thomas E.
  full_name: Shaw, Thomas E.
  last_name: Shaw
- first_name: Alexis
  full_name: Caro, Alexis
  last_name: Caro
- first_name: Pablo
  full_name: Mendoza, Pablo
  last_name: Mendoza
- first_name: Álvaro
  full_name: Ayala, Álvaro
  last_name: Ayala
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: Simon
  full_name: Gascoin, Simon
  last_name: Gascoin
- first_name: James
  full_name: McPhee, James
  last_name: McPhee
citation:
  ama: Shaw TE, Caro A, Mendoza P, et al. The utility of optical satellite winter
    snow depths for initializing a glacio‐hydrological model of a High‐Elevation,
    Andean catchment. <i>Water Resources Research</i>. 2020;56(8). doi:<a href="https://doi.org/10.1029/2020wr027188">10.1029/2020wr027188</a>
  apa: Shaw, T. E., Caro, A., Mendoza, P., Ayala, Á., Pellicciotti, F., Gascoin, S.,
    &#38; McPhee, J. (2020). The utility of optical satellite winter snow depths for
    initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2020wr027188">https://doi.org/10.1029/2020wr027188</a>
  chicago: Shaw, Thomas E., Alexis Caro, Pablo Mendoza, Álvaro Ayala, Francesca Pellicciotti,
    Simon Gascoin, and James McPhee. “The Utility of Optical Satellite Winter Snow
    Depths for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean
    Catchment.” <i>Water Resources Research</i>. American Geophysical Union, 2020.
    <a href="https://doi.org/10.1029/2020wr027188">https://doi.org/10.1029/2020wr027188</a>.
  ieee: T. E. Shaw <i>et al.</i>, “The utility of optical satellite winter snow depths
    for initializing a glacio‐hydrological model of a High‐Elevation, Andean catchment,”
    <i>Water Resources Research</i>, vol. 56, no. 8. American Geophysical Union, 2020.
  ista: Shaw TE, Caro A, Mendoza P, Ayala Á, Pellicciotti F, Gascoin S, McPhee J.
    2020. The utility of optical satellite winter snow depths for initializing a glacio‐hydrological
    model of a High‐Elevation, Andean catchment. Water Resources Research. 56(8),
    e2020WR027188.
  mla: Shaw, Thomas E., et al. “The Utility of Optical Satellite Winter Snow Depths
    for Initializing a Glacio‐hydrological Model of a High‐Elevation, Andean Catchment.”
    <i>Water Resources Research</i>, vol. 56, no. 8, e2020WR027188, American Geophysical
    Union, 2020, doi:<a href="https://doi.org/10.1029/2020wr027188">10.1029/2020wr027188</a>.
  short: T.E. Shaw, A. Caro, P. Mendoza, Á. Ayala, F. Pellicciotti, S. Gascoin, J.
    McPhee, Water Resources Research 56 (2020).
date_created: 2023-02-20T08:12:22Z
date_published: 2020-08-01T00:00:00Z
date_updated: 2023-02-28T12:41:45Z
day: '01'
doi: 10.1029/2020wr027188
extern: '1'
intvolume: '        56'
issue: '8'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2020WR027188
month: '08'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: The utility of optical satellite winter snow depths for initializing a glacio‐hydrological
  model of a High‐Elevation, Andean catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
_id: '12598'
abstract:
- lang: eng
  text: Obtaining detailed information about high mountain snowpacks is often limited
    by insufficient ground-based observations and uncertainty in the (re)distribution
    of solid precipitation. We utilize high-resolution optical images from Pléiades
    satellites to generate a snow depth map, at a spatial resolution of 4 m, for a
    high mountain catchment of central Chile. Results are negatively biased (median
    difference of −0.22 m) when compared against observations from a terrestrial Light
    Detection And Ranging scan, though replicate general snow depth variability well.
    Additionally, the Pléiades dataset is subject to data gaps (17% of total pixels),
    negative values for shallow snow (12%), and noise on slopes >40–50° (2%). We correct
    and filter the Pléiades snow depths using surface classification techniques of
    snow-free areas and a random forest model for data gap filling. Snow depths (with
    an estimated error of ~0.36 m) average 1.66 m and relate well to topographical
    parameters such as elevation and northness in a similar way to previous studies.
    However, estimations of snow depth based upon topography (TOPO) or physically
    based modeling (DBSM) cannot resolve localized processes (i.e., avalanching or
    wind scouring) that are detected by Pléiades, even when forced with locally calibrated
    data. Comparing these alternative model approaches to corrected Pléiades snow
    depths reveals total snow volume differences between −28% (DBSM) and +54% (TOPO)
    for the catchment and large differences across most elevation bands. Pléiades
    represents an important contribution to understanding snow accumulation at sparsely
    monitored catchments, though ideally requires a careful systematic validation
    procedure to identify catchment-scale biases and errors in the snow depth derivation.
article_number: e2019WR024880
article_processing_charge: No
article_type: original
author:
- first_name: Thomas E.
  full_name: Shaw, Thomas E.
  last_name: Shaw
- first_name: Simon
  full_name: Gascoin, Simon
  last_name: Gascoin
- first_name: Pablo A.
  full_name: Mendoza, Pablo A.
  last_name: Mendoza
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: James
  full_name: McPhee, James
  last_name: McPhee
citation:
  ama: Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. Snow depth patterns
    in a high mountain Andean catchment from satellite optical tristereoscopic remote
    sensing. <i>Water Resources Research</i>. 2020;56(2). doi:<a href="https://doi.org/10.1029/2019wr024880">10.1029/2019wr024880</a>
  apa: Shaw, T. E., Gascoin, S., Mendoza, P. A., Pellicciotti, F., &#38; McPhee, J.
    (2020). Snow depth patterns in a high mountain Andean catchment from satellite
    optical tristereoscopic remote sensing. <i>Water Resources Research</i>. American
    Geophysical Union. <a href="https://doi.org/10.1029/2019wr024880">https://doi.org/10.1029/2019wr024880</a>
  chicago: Shaw, Thomas E., Simon Gascoin, Pablo A. Mendoza, Francesca Pellicciotti,
    and James McPhee. “Snow Depth Patterns in a High Mountain Andean Catchment from
    Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>.
    American Geophysical Union, 2020. <a href="https://doi.org/10.1029/2019wr024880">https://doi.org/10.1029/2019wr024880</a>.
  ieee: T. E. Shaw, S. Gascoin, P. A. Mendoza, F. Pellicciotti, and J. McPhee, “Snow
    depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic
    remote sensing,” <i>Water Resources Research</i>, vol. 56, no. 2. American Geophysical
    Union, 2020.
  ista: Shaw TE, Gascoin S, Mendoza PA, Pellicciotti F, McPhee J. 2020. Snow depth
    patterns in a high mountain Andean catchment from satellite optical tristereoscopic
    remote sensing. Water Resources Research. 56(2), e2019WR024880.
  mla: Shaw, Thomas E., et al. “Snow Depth Patterns in a High Mountain Andean Catchment
    from Satellite Optical Tristereoscopic Remote Sensing.” <i>Water Resources Research</i>,
    vol. 56, no. 2, e2019WR024880, American Geophysical Union, 2020, doi:<a href="https://doi.org/10.1029/2019wr024880">10.1029/2019wr024880</a>.
  short: T.E. Shaw, S. Gascoin, P.A. Mendoza, F. Pellicciotti, J. McPhee, Water Resources
    Research 56 (2020).
date_created: 2023-02-20T08:12:47Z
date_published: 2020-02-01T00:00:00Z
date_updated: 2023-02-28T12:26:14Z
day: '01'
doi: 10.1029/2019wr024880
extern: '1'
intvolume: '        56'
issue: '2'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR024880
month: '02'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Snow depth patterns in a high mountain Andean catchment from satellite optical
  tristereoscopic remote sensing
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 56
year: '2020'
...
---
_id: '12600'
abstract:
- lang: eng
  text: The snow cover dynamics of High Mountain Asia are usually assessed at spatial
    resolutions of 250 m or greater, but this scale is too coarse to clearly represent
    the rugged topography common to the region. Higher-resolution measurement of snow-covered
    area often results in biased sampling due to cloud cover and deep shadows. We
    therefore develop a Normalized Difference Snow Index-based workflow to delineate
    snow lines from Landsat Thematic Mapper/Enhanced Thematic Mapper+ imagery and
    apply it to the upper Langtang Valley in Nepal, processing 194 scenes spanning
    1999 to 2013. For each scene, we determine the spatial distribution of snow line
    altitudes (SLAs) with respect to aspect and across six subcatchments. Our results
    show that the mean SLA exhibits distinct seasonal behavior based on aspect and
    subcatchment position. We find that SLA dynamics respond to spatial and seasonal
    trade-offs in precipitation, temperature, and solar radiation, which act as primary
    controls. We identify two SLA spatial gradients, which we attribute to the effect
    of spatially variable precipitation. Our results also reveal that aspect-related
    SLA differences vary seasonally and are influenced by solar radiation. In terms
    of seasonal dominant controls, we demonstrate that the snow line is controlled
    by snow precipitation in winter, melt in premonsoon, a combination of both in
    postmonsoon, and temperature in monsoon, explaining to a large extent the spatial
    and seasonal variability of the SLA in the upper Langtang Valley. We conclude
    that while SLA and snow-covered area are complementary metrics, the SLA has a
    strong potential for understanding local-scale snow cover dynamics and their controlling
    mechanisms.
article_processing_charge: No
article_type: original
author:
- first_name: Marc
  full_name: Girona‐Mata, Marc
  last_name: Girona‐Mata
- first_name: Evan S.
  full_name: Miles, Evan S.
  last_name: Miles
- first_name: Silvan
  full_name: Ragettli, Silvan
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. High‐resolution snowline
    delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment.
    <i>Water Resources Research</i>. 2019;55(8):6754-6772. doi:<a href="https://doi.org/10.1029/2019wr024935">10.1029/2019wr024935</a>
  apa: Girona‐Mata, M., Miles, E. S., Ragettli, S., &#38; Pellicciotti, F. (2019).
    High‐resolution snowline delineation from Landsat imagery to infer snow cover
    controls in a Himalayan catchment. <i>Water Resources Research</i>. American Geophysical
    Union. <a href="https://doi.org/10.1029/2019wr024935">https://doi.org/10.1029/2019wr024935</a>
  chicago: Girona‐Mata, Marc, Evan S. Miles, Silvan Ragettli, and Francesca Pellicciotti.
    “High‐resolution Snowline Delineation from Landsat Imagery to Infer Snow Cover
    Controls in a Himalayan Catchment.” <i>Water Resources Research</i>. American
    Geophysical Union, 2019. <a href="https://doi.org/10.1029/2019wr024935">https://doi.org/10.1029/2019wr024935</a>.
  ieee: M. Girona‐Mata, E. S. Miles, S. Ragettli, and F. Pellicciotti, “High‐resolution
    snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
    catchment,” <i>Water Resources Research</i>, vol. 55, no. 8. American Geophysical
    Union, pp. 6754–6772, 2019.
  ista: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. 2019. High‐resolution
    snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
    catchment. Water Resources Research. 55(8), 6754–6772.
  mla: Girona‐Mata, Marc, et al. “High‐resolution Snowline Delineation from Landsat
    Imagery to Infer Snow Cover Controls in a Himalayan Catchment.” <i>Water Resources
    Research</i>, vol. 55, no. 8, American Geophysical Union, 2019, pp. 6754–72, doi:<a
    href="https://doi.org/10.1029/2019wr024935">10.1029/2019wr024935</a>.
  short: M. Girona‐Mata, E.S. Miles, S. Ragettli, F. Pellicciotti, Water Resources
    Research 55 (2019) 6754–6772.
date_created: 2023-02-20T08:12:59Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-02-28T12:14:18Z
day: '01'
doi: 10.1029/2019wr024935
extern: '1'
intvolume: '        55'
issue: '8'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2019WR024935
month: '08'
oa: 1
oa_version: Published Version
page: 6754-6772
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: High‐resolution snowline delineation from Landsat imagery to infer snow cover
  controls in a Himalayan catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 55
year: '2019'
...
---
_id: '12605'
abstract:
- lang: eng
  text: Snow depth patterns over glaciers are controlled by precipitation, snow redistribution
    due to wind and avalanches, and the exchange of energy with the atmosphere that
    determines snow ablation. While many studies have advanced the understanding of
    ablation processes, less is known about winter snow patterns and their variability
    over glaciers. We analyze snow depth on Haut Glacier d'Arolla, Switzerland, in
    the two winter seasons 2006–2007 and 2010–2011 to (1) understand whether snow
    depth over an alpine glacier at the end of the accumulation season exhibits a
    behavior similar to the one observed on single slopes and vegetated areas; and
    (2) investigate the snow pattern consistency over the two accumulation seasons.
    We perform this analysis on a data set of high-resolution lidar-derived snow depth
    using variograms and fractal parameters. Our first main result is that snow depth
    patterns on the glacier exhibit a multiscale behavior, with a scale break around
    20 m after which the fractal dimension increases, indicating more autocorrelated
    structure before the scale break than after. Second, this behavior is consistent
    over the two years, with fractal parameters and their spatial variability almost
    constant in the two seasons. We also show that snow depth patterns exhibit a distinct
    behavior in the glacier tongue and the upper catchment, with longer correlation
    distances on the tongue in the direction of the main winds, suggesting spatial
    distinctions that are likely induced by different processes and that should be
    taken into account when extrapolating snow depth from limited samples.
article_processing_charge: No
article_type: original
author:
- first_name: I.
  full_name: Clemenzi, I.
  last_name: Clemenzi
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: P.
  full_name: Burlando, P.
  last_name: Burlando
citation:
  ama: Clemenzi I, Pellicciotti F, Burlando P. Snow depth structure, fractal behavior,
    and interannual consistency over Haut Glacier d’Arolla, Switzerland. <i>Water
    Resources Research</i>. 2018;54(10):7929-7945. doi:<a href="https://doi.org/10.1029/2017wr021606">10.1029/2017wr021606</a>
  apa: Clemenzi, I., Pellicciotti, F., &#38; Burlando, P. (2018). Snow depth structure,
    fractal behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2017wr021606">https://doi.org/10.1029/2017wr021606</a>
  chicago: Clemenzi, I., Francesca Pellicciotti, and P. Burlando. “Snow Depth Structure,
    Fractal Behavior, and Interannual Consistency over Haut Glacier d’Arolla, Switzerland.”
    <i>Water Resources Research</i>. American Geophysical Union, 2018. <a href="https://doi.org/10.1029/2017wr021606">https://doi.org/10.1029/2017wr021606</a>.
  ieee: I. Clemenzi, F. Pellicciotti, and P. Burlando, “Snow depth structure, fractal
    behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland,”
    <i>Water Resources Research</i>, vol. 54, no. 10. American Geophysical Union,
    pp. 7929–7945, 2018.
  ista: Clemenzi I, Pellicciotti F, Burlando P. 2018. Snow depth structure, fractal
    behavior, and interannual consistency over Haut Glacier d’Arolla, Switzerland.
    Water Resources Research. 54(10), 7929–7945.
  mla: Clemenzi, I., et al. “Snow Depth Structure, Fractal Behavior, and Interannual
    Consistency over Haut Glacier d’Arolla, Switzerland.” <i>Water Resources Research</i>,
    vol. 54, no. 10, American Geophysical Union, 2018, pp. 7929–45, doi:<a href="https://doi.org/10.1029/2017wr021606">10.1029/2017wr021606</a>.
  short: I. Clemenzi, F. Pellicciotti, P. Burlando, Water Resources Research 54 (2018)
    7929–7945.
date_created: 2023-02-20T08:13:31Z
date_published: 2018-06-07T00:00:00Z
date_updated: 2023-02-28T11:42:40Z
day: '07'
doi: 10.1029/2017wr021606
extern: '1'
intvolume: '        54'
issue: '10'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2017WR021606
month: '06'
oa: 1
oa_version: Published Version
page: 7929-7945
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Snow depth structure, fractal behavior, and interannual consistency over Haut
  Glacier d'Arolla, Switzerland
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2018'
...
---
_id: '12611'
abstract:
- lang: eng
  text: 'We investigate the energy balance and ablation regimes of glaciers in high-elevation,
    dry environments using glaciometeorological data collected on six glaciers in
    the semiarid Andes of North-Central Chile (29–34°S, 3127–5324 m). We use a point-scale
    physically based energy balance (EB) model and an enhanced Temperature-Index (ETI)
    model that calculates melt rates only as a function of air temperature and net
    shortwave radiation. At all sites, the largest energy inputs are net shortwave
    and incoming longwave radiation, which are controlled by surface albedo and elevation,
    respectively. Turbulent fluxes cancel each other out at the lower sites, but as
    elevation increases, cold, dry and wind-exposed conditions increase the magnitude
    of negative latent heat fluxes, associated with large surface sublimation rates.
    In midsummer (January), ablation rates vary from 67.9 mm w.e. d−1 at the lowest
    site (∼100% corresponding to melt), to 2.3 mm w.e. d−1 at the highest site (>85%
    corresponding to surface sublimation). At low-elevation, low-albedo, melt-dominated
    sites, the ETI model correctly reproduces melt using a large range of possible
    parameters, but both the performance and parameter transferability decrease with
    elevation for two main reasons: (i) the air temperature threshold approach for
    melt onset does not capture the diurnal variability of melt in cold and strong
    irradiated environments and (ii) energy losses decrease the correlation between
    melt and net shortwave radiation. We summarize our results by means of an elevation
    profile of ablation components that can be used as reference in future studies
    of glacier ablation in the semiarid Andes.'
article_processing_charge: No
article_type: original
author:
- first_name: A.
  full_name: Ayala, A.
  last_name: Ayala
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: S.
  full_name: MacDonell, S.
  last_name: MacDonell
- first_name: J.
  full_name: McPhee, J.
  last_name: McPhee
- first_name: P.
  full_name: Burlando, P.
  last_name: Burlando
citation:
  ama: 'Ayala A, Pellicciotti F, MacDonell S, McPhee J, Burlando P. Patterns of glacier
    ablation across North-Central Chile: Identifying the limits of empirical melt
    models under sublimation-favorable conditions. <i>Water Resources Research</i>.
    2017;53(7):5601-5625. doi:<a href="https://doi.org/10.1002/2016wr020126">10.1002/2016wr020126</a>'
  apa: 'Ayala, A., Pellicciotti, F., MacDonell, S., McPhee, J., &#38; Burlando, P.
    (2017). Patterns of glacier ablation across North-Central Chile: Identifying the
    limits of empirical melt models under sublimation-favorable conditions. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2016wr020126">https://doi.org/10.1002/2016wr020126</a>'
  chicago: 'Ayala, A., Francesca Pellicciotti, S. MacDonell, J. McPhee, and P. Burlando.
    “Patterns of Glacier Ablation across North-Central Chile: Identifying the Limits
    of Empirical Melt Models under Sublimation-Favorable Conditions.” <i>Water Resources
    Research</i>. American Geophysical Union, 2017. <a href="https://doi.org/10.1002/2016wr020126">https://doi.org/10.1002/2016wr020126</a>.'
  ieee: 'A. Ayala, F. Pellicciotti, S. MacDonell, J. McPhee, and P. Burlando, “Patterns
    of glacier ablation across North-Central Chile: Identifying the limits of empirical
    melt models under sublimation-favorable conditions,” <i>Water Resources Research</i>,
    vol. 53, no. 7. American Geophysical Union, pp. 5601–5625, 2017.'
  ista: 'Ayala A, Pellicciotti F, MacDonell S, McPhee J, Burlando P. 2017. Patterns
    of glacier ablation across North-Central Chile: Identifying the limits of empirical
    melt models under sublimation-favorable conditions. Water Resources Research.
    53(7), 5601–5625.'
  mla: 'Ayala, A., et al. “Patterns of Glacier Ablation across North-Central Chile:
    Identifying the Limits of Empirical Melt Models under Sublimation-Favorable Conditions.”
    <i>Water Resources Research</i>, vol. 53, no. 7, American Geophysical Union, 2017,
    pp. 5601–25, doi:<a href="https://doi.org/10.1002/2016wr020126">10.1002/2016wr020126</a>.'
  short: A. Ayala, F. Pellicciotti, S. MacDonell, J. McPhee, P. Burlando, Water Resources
    Research 53 (2017) 5601–5625.
date_created: 2023-02-20T08:14:10Z
date_published: 2017-07-10T00:00:00Z
date_updated: 2023-02-24T11:41:55Z
day: '10'
doi: 10.1002/2016wr020126
extern: '1'
intvolume: '        53'
issue: '7'
keyword:
- Water Science and Technology
language:
- iso: eng
month: '07'
oa_version: None
page: 5601-5625
publication: Water Resources Research
publication_identifier:
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Patterns of glacier ablation across North-Central Chile: Identifying the limits
  of empirical melt models under sublimation-favorable conditions'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 53
year: '2017'
...
---
_id: '12637'
abstract:
- lang: eng
  text: The performance of glaciohydrological models which simulate catchment response
    to climate variability depends to a large degree on the data used to force the
    models. The forcing data become increasingly important in high-elevation, glacierized
    catchments where the interplay between extreme topography, climate, and the cryosphere
    is complex. It is challenging to generate a reliable forcing data set that captures
    this spatial heterogeneity. In this paper, we analyze the results of a 1 year
    field campaign focusing on air temperature and precipitation observations in the
    Langtang valley in the Nepalese Himalayas. We use the observed time series to
    characterize both temperature lapse rates (LRs) and precipitation gradients (PGs).
    We study their spatial and temporal variability, and we attempt to identify possible
    controlling factors. We show that very clear LRs exist in the valley and that
    there are strong seasonal differences related to the water vapor content in the
    atmosphere. Results also show that the LRs are generally shallower than the commonly
    used environmental lapse rates. The analysis of the precipitation observations
    reveals that there is great variability in precipitation over short horizontal
    distances. A uniform valley wide PG cannot be established, and several scale-dependent
    mechanisms may explain our observations. We complete our analysis by showing the
    impact of the observed LRs and PGs on the outputs of the TOPKAPI-ETH glaciohydrological
    model. We conclude that LRs and PGs have a very large impact on the water balance
    composition and that short-term monitoring campaigns have the potential to improve
    model quality considerably.
article_processing_charge: No
article_type: original
author:
- first_name: W. W.
  full_name: Immerzeel, W. W.
  last_name: Immerzeel
- first_name: L.
  full_name: Petersen, L.
  last_name: Petersen
- first_name: S.
  full_name: Ragettli, S.
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: Immerzeel WW, Petersen L, Ragettli S, Pellicciotti F. The importance of observed
    gradients of air temperature and precipitation for modeling runoff from a glacierized
    watershed in the Nepalese Himalayas. <i>Water Resources Research</i>. 2014;50(3):2212-2226.
    doi:<a href="https://doi.org/10.1002/2013wr014506">10.1002/2013wr014506</a>
  apa: Immerzeel, W. W., Petersen, L., Ragettli, S., &#38; Pellicciotti, F. (2014).
    The importance of observed gradients of air temperature and precipitation for
    modeling runoff from a glacierized watershed in the Nepalese Himalayas. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1002/2013wr014506">https://doi.org/10.1002/2013wr014506</a>
  chicago: Immerzeel, W. W., L. Petersen, S. Ragettli, and Francesca Pellicciotti.
    “The Importance of Observed Gradients of Air Temperature and Precipitation for
    Modeling Runoff from a Glacierized Watershed in the Nepalese Himalayas.” <i>Water
    Resources Research</i>. American Geophysical Union, 2014. <a href="https://doi.org/10.1002/2013wr014506">https://doi.org/10.1002/2013wr014506</a>.
  ieee: W. W. Immerzeel, L. Petersen, S. Ragettli, and F. Pellicciotti, “The importance
    of observed gradients of air temperature and precipitation for modeling runoff
    from a glacierized watershed in the Nepalese Himalayas,” <i>Water Resources Research</i>,
    vol. 50, no. 3. American Geophysical Union, pp. 2212–2226, 2014.
  ista: Immerzeel WW, Petersen L, Ragettli S, Pellicciotti F. 2014. The importance
    of observed gradients of air temperature and precipitation for modeling runoff
    from a glacierized watershed in the Nepalese Himalayas. Water Resources Research.
    50(3), 2212–2226.
  mla: Immerzeel, W. W., et al. “The Importance of Observed Gradients of Air Temperature
    and Precipitation for Modeling Runoff from a Glacierized Watershed in the Nepalese
    Himalayas.” <i>Water Resources Research</i>, vol. 50, no. 3, American Geophysical
    Union, 2014, pp. 2212–26, doi:<a href="https://doi.org/10.1002/2013wr014506">10.1002/2013wr014506</a>.
  short: W.W. Immerzeel, L. Petersen, S. Ragettli, F. Pellicciotti, Water Resources
    Research 50 (2014) 2212–2226.
date_created: 2023-02-20T08:17:01Z
date_published: 2014-03-01T00:00:00Z
date_updated: 2023-02-24T08:28:23Z
day: '01'
doi: 10.1002/2013wr014506
extern: '1'
intvolume: '        50'
issue: '3'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/2013WR014506
month: '03'
oa: 1
oa_version: Published Version
page: 2212-2226
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: The importance of observed gradients of air temperature and precipitation for
  modeling runoff from a glacierized watershed in the Nepalese Himalayas
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 50
year: '2014'
...
---
_id: '12639'
abstract:
- lang: eng
  text: 'In the headwater catchments of the main Asian rivers, glaciohydrological
    models are a useful tool to anticipate impacts of climatic changes. However, the
    reliability of their projections strongly depends on the quality and quantity
    of data that are available for parameter estimation, model calibration and validation,
    as well as on the accuracy of climate change projections. In this study the physically
    oriented, glaciohydrological model TOPKAPI-ETH is used to simulate future changes
    in snow, glacier, and runoff from the Hunza River Basin in northern Pakistan.
    Three key sources of model uncertainty in future runoff projections are compared:
    model parameters, climate projections, and natural climate variability. A novel
    approach, applicable also to ungauged catchments, is used to determine which model
    parameters and model components significantly affect the overall model uncertainty.
    We show that the model is capable of reproducing streamflow and glacier mass balances,
    but that all analyzed sources of uncertainty significantly affect the reliability
    of future projections, and that their effect is variable in time and in space.
    The effect of parametric uncertainty often exceeds the impact of climate uncertainty
    and natural climate variability, especially in heavily glacierized subcatchments.
    The results of the uncertainty analysis allow detailed recommendations on network
    design and the timing and location of field measurements, which could efficiently
    help to reduce model uncertainty in the future.'
article_processing_charge: No
article_type: original
author:
- first_name: S.
  full_name: Ragettli, S.
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: R.
  full_name: Bordoy, R.
  last_name: Bordoy
- first_name: W. W.
  full_name: Immerzeel, W. W.
  last_name: Immerzeel
citation:
  ama: Ragettli S, Pellicciotti F, Bordoy R, Immerzeel WW. Sources of uncertainty
    in modeling the glaciohydrological response of a Karakoram watershed to climate
    change. <i>Water Resources Research</i>. 2013;49(9):6048-6066. doi:<a href="https://doi.org/10.1002/wrcr.20450">10.1002/wrcr.20450</a>
  apa: Ragettli, S., Pellicciotti, F., Bordoy, R., &#38; Immerzeel, W. W. (2013).
    Sources of uncertainty in modeling the glaciohydrological response of a Karakoram
    watershed to climate change. <i>Water Resources Research</i>. American Geophysical
    Union. <a href="https://doi.org/10.1002/wrcr.20450">https://doi.org/10.1002/wrcr.20450</a>
  chicago: Ragettli, S., Francesca Pellicciotti, R. Bordoy, and W. W. Immerzeel. “Sources
    of Uncertainty in Modeling the Glaciohydrological Response of a Karakoram Watershed
    to Climate Change.” <i>Water Resources Research</i>. American Geophysical Union,
    2013. <a href="https://doi.org/10.1002/wrcr.20450">https://doi.org/10.1002/wrcr.20450</a>.
  ieee: S. Ragettli, F. Pellicciotti, R. Bordoy, and W. W. Immerzeel, “Sources of
    uncertainty in modeling the glaciohydrological response of a Karakoram watershed
    to climate change,” <i>Water Resources Research</i>, vol. 49, no. 9. American
    Geophysical Union, pp. 6048–6066, 2013.
  ista: Ragettli S, Pellicciotti F, Bordoy R, Immerzeel WW. 2013. Sources of uncertainty
    in modeling the glaciohydrological response of a Karakoram watershed to climate
    change. Water Resources Research. 49(9), 6048–6066.
  mla: Ragettli, S., et al. “Sources of Uncertainty in Modeling the Glaciohydrological
    Response of a Karakoram Watershed to Climate Change.” <i>Water Resources Research</i>,
    vol. 49, no. 9, American Geophysical Union, 2013, pp. 6048–66, doi:<a href="https://doi.org/10.1002/wrcr.20450">10.1002/wrcr.20450</a>.
  short: S. Ragettli, F. Pellicciotti, R. Bordoy, W.W. Immerzeel, Water Resources
    Research 49 (2013) 6048–6066.
date_created: 2023-02-20T08:17:12Z
date_published: 2013-03-01T00:00:00Z
date_updated: 2023-02-24T08:16:19Z
day: '01'
doi: 10.1002/wrcr.20450
extern: '1'
intvolume: '        49'
issue: '9'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1002/wrcr.20450
month: '03'
oa: 1
oa_version: Published Version
page: 6048-6066
publication: Water Resources Research
publication_identifier:
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Sources of uncertainty in modeling the glaciohydrological response of a Karakoram
  watershed to climate change
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 49
year: '2013'
...
---
_id: '12644'
abstract:
- lang: eng
  text: In the Dry Andes of central Chile, summer water resources originate mostly
    from snowmelt and ice melt. We use the physically based, spatially distributed
    hydrological model TOPKAPI to study the exchange between glaciers and climate
    in the upper Aconcagua River Basin during the summer season and identify the model
    parameters that are robust and transferable and those that are more dependent
    on calibration. TOPKAPI has recently been adapted to incorporate an enhanced temperature
    index approach for snow and ice melting. We suggest a calibration procedure that
    allows calibration of parameters in three steps by separating parameters governing
    distinct processes. We evaluate the parameters' transferability in time and in
    space by applying the model at two spatial scales. TOPKAPI's ability to simulate
    the relevant processes is tested against meteorological, ablation, and glacier
    runoff data measured on Juncal Norte Glacier during two glacier ablation seasons.
    The model was applied successfully to the climatic setting of the Dry Andes once
    its parameters were recalibrated. We found a clear distinction between parameters
    that are stable in time and those that need recalibration. The parameters of the
    melt model are transferable from one season to the other, while the parameters
    governing the extrapolation of meteorological input data and the routing of glacier
    meltwater need recalibration from one season to the other. Sensitivity analysis
    revealed that the model is most sensitive to the temperature lapse rate governing
    the extrapolation of air temperature from point measurements to the glacier scale
    and to the melt parameter that multiplies the shortwave radiation balance.
article_number: W03509
article_processing_charge: No
article_type: original
author:
- first_name: S.
  full_name: Ragettli, S.
  last_name: Ragettli
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
citation:
  ama: 'Ragettli S, Pellicciotti F. Calibration of a physically based, spatially distributed
    hydrological model in a glacierized basin: On the use of knowledge from glaciometeorological
    processes to constrain model parameters. <i>Water Resources Research</i>. 2012;48(3).
    doi:<a href="https://doi.org/10.1029/2011wr010559">10.1029/2011wr010559</a>'
  apa: 'Ragettli, S., &#38; Pellicciotti, F. (2012). Calibration of a physically based,
    spatially distributed hydrological model in a glacierized basin: On the use of
    knowledge from glaciometeorological processes to constrain model parameters. <i>Water
    Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2011wr010559">https://doi.org/10.1029/2011wr010559</a>'
  chicago: 'Ragettli, S., and Francesca Pellicciotti. “Calibration of a Physically
    Based, Spatially Distributed Hydrological Model in a Glacierized Basin: On the
    Use of Knowledge from Glaciometeorological Processes to Constrain Model Parameters.”
    <i>Water Resources Research</i>. American Geophysical Union, 2012. <a href="https://doi.org/10.1029/2011wr010559">https://doi.org/10.1029/2011wr010559</a>.'
  ieee: 'S. Ragettli and F. Pellicciotti, “Calibration of a physically based, spatially
    distributed hydrological model in a glacierized basin: On the use of knowledge
    from glaciometeorological processes to constrain model parameters,” <i>Water Resources
    Research</i>, vol. 48, no. 3. American Geophysical Union, 2012.'
  ista: 'Ragettli S, Pellicciotti F. 2012. Calibration of a physically based, spatially
    distributed hydrological model in a glacierized basin: On the use of knowledge
    from glaciometeorological processes to constrain model parameters. Water Resources
    Research. 48(3), W03509.'
  mla: 'Ragettli, S., and Francesca Pellicciotti. “Calibration of a Physically Based,
    Spatially Distributed Hydrological Model in a Glacierized Basin: On the Use of
    Knowledge from Glaciometeorological Processes to Constrain Model Parameters.”
    <i>Water Resources Research</i>, vol. 48, no. 3, W03509, American Geophysical
    Union, 2012, doi:<a href="https://doi.org/10.1029/2011wr010559">10.1029/2011wr010559</a>.'
  short: S. Ragettli, F. Pellicciotti, Water Resources Research 48 (2012).
date_created: 2023-02-20T08:17:39Z
date_published: 2012-03-01T00:00:00Z
date_updated: 2023-02-21T09:38:36Z
day: '01'
doi: 10.1029/2011wr010559
extern: '1'
intvolume: '        48'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2011WR010559
month: '03'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Calibration of a physically based, spatially distributed hydrological model
  in a glacierized basin: On the use of knowledge from glaciometeorological processes
  to constrain model parameters'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 48
year: '2012'
...
---
_id: '12649'
abstract:
- lang: eng
  text: Physically based hydrological models describe natural processes more accurately
    than conceptual models but require extensive data sets to produce accurate results.
    To identify the value of different data sets for improving the performance of
    the distributed hydrological model TOPKAPI we combine a multivariable validation
    technique with Monte Carlo simulations. The study is carried out in the snow and
    ice-dominated Rhonegletscher basin, as these types of mountainous basins are generally
    the most critical with respect to data availability and sensitivity to climate
    fluctuations. Each observational data set is used individually and in combination
    with the other data sets to determine a subset of best parameter combinations
    out of 10,000 Monte Carlos runs performed with randomly generated parameter sets.
    We validate model results against discharge, glacier mass balance, and satellite
    snow cover images for a 14 year time period (1994–2007). While the use of all
    data sets combined provides the best overall model performance (defined by the
    concurrent best agreement of simulated discharge, snow cover and mass balance
    with their respective measurements), the use of one or two variables for constraining
    the model results in poorer performance. Using only one data set for constraining
    the model glacier mass balance proved to be the most efficient observation leading
    to the best overall model performance. Our main result is that a combination of
    discharge and satellite snow cover images is best for improving model performance,
    since the volumetric information of discharge data and the spatial information
    of snow cover images are complementary.
article_number: W07519
article_processing_charge: No
article_type: original
author:
- first_name: David
  full_name: Finger, David
  last_name: Finger
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: Markus
  full_name: Konz, Markus
  last_name: Konz
- first_name: Stefan
  full_name: Rimkus, Stefan
  last_name: Rimkus
- first_name: Paolo
  full_name: Burlando, Paolo
  last_name: Burlando
citation:
  ama: Finger D, Pellicciotti F, Konz M, Rimkus S, Burlando P. The value of glacier
    mass balance, satellite snow cover images, and hourly discharge for improving
    the performance of a physically based distributed hydrological model. <i>Water
    Resources Research</i>. 2011;47(7). doi:<a href="https://doi.org/10.1029/2010wr009824">10.1029/2010wr009824</a>
  apa: Finger, D., Pellicciotti, F., Konz, M., Rimkus, S., &#38; Burlando, P. (2011).
    The value of glacier mass balance, satellite snow cover images, and hourly discharge
    for improving the performance of a physically based distributed hydrological model.
    <i>Water Resources Research</i>. American Geophysical Union. <a href="https://doi.org/10.1029/2010wr009824">https://doi.org/10.1029/2010wr009824</a>
  chicago: Finger, David, Francesca Pellicciotti, Markus Konz, Stefan Rimkus, and
    Paolo Burlando. “The Value of Glacier Mass Balance, Satellite Snow Cover Images,
    and Hourly Discharge for Improving the Performance of a Physically Based Distributed
    Hydrological Model.” <i>Water Resources Research</i>. American Geophysical Union,
    2011. <a href="https://doi.org/10.1029/2010wr009824">https://doi.org/10.1029/2010wr009824</a>.
  ieee: D. Finger, F. Pellicciotti, M. Konz, S. Rimkus, and P. Burlando, “The value
    of glacier mass balance, satellite snow cover images, and hourly discharge for
    improving the performance of a physically based distributed hydrological model,”
    <i>Water Resources Research</i>, vol. 47, no. 7. American Geophysical Union, 2011.
  ista: Finger D, Pellicciotti F, Konz M, Rimkus S, Burlando P. 2011. The value of
    glacier mass balance, satellite snow cover images, and hourly discharge for improving
    the performance of a physically based distributed hydrological model. Water Resources
    Research. 47(7), W07519.
  mla: Finger, David, et al. “The Value of Glacier Mass Balance, Satellite Snow Cover
    Images, and Hourly Discharge for Improving the Performance of a Physically Based
    Distributed Hydrological Model.” <i>Water Resources Research</i>, vol. 47, no.
    7, W07519, American Geophysical Union, 2011, doi:<a href="https://doi.org/10.1029/2010wr009824">10.1029/2010wr009824</a>.
  short: D. Finger, F. Pellicciotti, M. Konz, S. Rimkus, P. Burlando, Water Resources
    Research 47 (2011).
date_created: 2023-02-20T08:18:03Z
date_published: 2011-07-01T00:00:00Z
date_updated: 2023-02-20T10:39:57Z
day: '01'
doi: 10.1029/2010wr009824
extern: '1'
intvolume: '        47'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2010WR009824
month: '07'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: The value of glacier mass balance, satellite snow cover images, and hourly
  discharge for improving the performance of a physically based distributed hydrological
  model
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 47
year: '2011'
...
---
_id: '12653'
abstract:
- lang: eng
  text: 'Daily streamflow from stations close to five Swiss glaciers is analyzed for
    trends with the Mann-Kendall test. We consider a common period of record (1974–2004)
    and longer periods based on data availability. The trend statistical significance
    is tested on annual and seasonal bases. We also examine changes in precipitation,
    temperature, and snow cover characteristics. Highly glacierized basins show statistically
    significant positive trends in annual streamflow caused by increasing streamflow
    in spring and summer. Trends are more numerous and stronger at lower and mid than
    at the upper quantiles. The basin characterized by lower glacier coverage, conversely,
    does not exhibit consistently statistically significant trends. Changes in precipitation
    are not sufficient to explain the observed streamflow trends. Air temperature
    sees an increase in mean, minimum, and maximum values at all sites. Variations
    in the seasonal snow accumulation and ablation process are evident. Solid precipitation
    is decreasing at all sites and trends may be due to a shift from snowfall into
    rainfall. Mean snow depth is also decreasing, and its duration is getting shorter
    because of a decrease in solid precipitation and enhanced melting. Trend magnitude
    attenuates with longer time series. Contrasting trends are detected for different
    subperiods in the last 70 years: statistically significant negative trends are
    observed in the periods 1944–1974 and 1954–1984 for Aletschgletscher, in contrast
    with the results for the common period. These trends are explained by different
    rates of ice volume changes, and the sign of trends is clearly related to phases
    of positive or negative glacier mass balance.'
article_number: W10522
article_processing_charge: No
article_type: original
author:
- first_name: Francesca
  full_name: Pellicciotti, Francesca
  id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
  last_name: Pellicciotti
- first_name: A.
  full_name: Bauder, A.
  last_name: Bauder
- first_name: M.
  full_name: Parola, M.
  last_name: Parola
citation:
  ama: Pellicciotti F, Bauder A, Parola M. Effect of glaciers on streamflow trends
    in the Swiss Alps. <i>Water Resources Research</i>. 2010;46(10). doi:<a href="https://doi.org/10.1029/2009wr009039">10.1029/2009wr009039</a>
  apa: Pellicciotti, F., Bauder, A., &#38; Parola, M. (2010). Effect of glaciers on
    streamflow trends in the Swiss Alps. <i>Water Resources Research</i>. American
    Geophysical Union. <a href="https://doi.org/10.1029/2009wr009039">https://doi.org/10.1029/2009wr009039</a>
  chicago: Pellicciotti, Francesca, A. Bauder, and M. Parola. “Effect of Glaciers
    on Streamflow Trends in the Swiss Alps.” <i>Water Resources Research</i>. American
    Geophysical Union, 2010. <a href="https://doi.org/10.1029/2009wr009039">https://doi.org/10.1029/2009wr009039</a>.
  ieee: F. Pellicciotti, A. Bauder, and M. Parola, “Effect of glaciers on streamflow
    trends in the Swiss Alps,” <i>Water Resources Research</i>, vol. 46, no. 10. American
    Geophysical Union, 2010.
  ista: Pellicciotti F, Bauder A, Parola M. 2010. Effect of glaciers on streamflow
    trends in the Swiss Alps. Water Resources Research. 46(10), W10522.
  mla: Pellicciotti, Francesca, et al. “Effect of Glaciers on Streamflow Trends in
    the Swiss Alps.” <i>Water Resources Research</i>, vol. 46, no. 10, W10522, American
    Geophysical Union, 2010, doi:<a href="https://doi.org/10.1029/2009wr009039">10.1029/2009wr009039</a>.
  short: F. Pellicciotti, A. Bauder, M. Parola, Water Resources Research 46 (2010).
date_created: 2023-02-20T08:18:27Z
date_published: 2010-10-01T00:00:00Z
date_updated: 2023-02-20T09:39:29Z
day: '01'
doi: 10.1029/2009wr009039
extern: '1'
intvolume: '        46'
issue: '10'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1029/2009WR009039
month: '10'
oa: 1
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
  eissn:
  - 1944-7973
  issn:
  - 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Effect of glaciers on streamflow trends in the Swiss Alps
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 46
year: '2010'
...
