Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan

Ice and snowmelt feed the Indus River and Amu Darya in western High Mountain Asia, yet there are limited in situ measurements of these resources. Previous work in the region has shown promise using snow water equivalent (SWE) reconstruction, which requires no in situ measurements, but validation has...

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Published in:The Cryosphere
Main Authors: E. H. Bair, K. Rittger, J. A. Ahmad, D. Chabot
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/tc-14-331-2020
https://doaj.org/article/5212c1c4891e4cb0891c9f4b1e32a869
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spelling ftdoajarticles:oai:doaj.org/article:5212c1c4891e4cb0891c9f4b1e32a869 2023-05-15T18:32:28+02:00 Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan E. H. Bair K. Rittger J. A. Ahmad D. Chabot 2020-01-01T00:00:00Z https://doi.org/10.5194/tc-14-331-2020 https://doaj.org/article/5212c1c4891e4cb0891c9f4b1e32a869 EN eng Copernicus Publications https://www.the-cryosphere.net/14/331/2020/tc-14-331-2020.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-14-331-2020 1994-0416 1994-0424 https://doaj.org/article/5212c1c4891e4cb0891c9f4b1e32a869 The Cryosphere, Vol 14, Pp 331-347 (2020) Environmental sciences GE1-350 Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.5194/tc-14-331-2020 2022-12-31T05:39:49Z Ice and snowmelt feed the Indus River and Amu Darya in western High Mountain Asia, yet there are limited in situ measurements of these resources. Previous work in the region has shown promise using snow water equivalent (SWE) reconstruction, which requires no in situ measurements, but validation has been a problem. However, recently we were provided with daily manual snow depth measurements from Afghanistan, Tajikistan, and Pakistan by the Aga Khan Agency for Habitat (AKAH). To validate SWE reconstruction, at each station, accumulated precipitation and SWE were derived from snow depth using the numerical snow cover model SNOWPACK. High-resolution (500 m) reconstructed SWE estimates from the Parallel Energy Balance Model (ParBal) were then compared to the modeled SWE at the stations. The Alpine3D model was then used to create spatial estimates at 25 km resolution to compare with estimates from other snow models. Additionally, the coupled SNOWPACK and Alpine3D system has the advantage of simulating snow profiles, which provides stability information. The median number of critical layers and percentage of faceted layers across all of the pixels containing the AKAH stations were computed. For SWE at the point scale, the reconstructed estimates showed a bias of −42 mm ( −19 %) at peak SWE. For the coarser spatial SWE estimates, the various models showed a wide range, with reconstruction being on the lower end. A heavily faceted snowpack was observed in both years, but 2018, a dry year, according to most of the models, showed more critical layers that persisted for a longer period. Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 14 1 331 347
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
E. H. Bair
K. Rittger
J. A. Ahmad
D. Chabot
Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Ice and snowmelt feed the Indus River and Amu Darya in western High Mountain Asia, yet there are limited in situ measurements of these resources. Previous work in the region has shown promise using snow water equivalent (SWE) reconstruction, which requires no in situ measurements, but validation has been a problem. However, recently we were provided with daily manual snow depth measurements from Afghanistan, Tajikistan, and Pakistan by the Aga Khan Agency for Habitat (AKAH). To validate SWE reconstruction, at each station, accumulated precipitation and SWE were derived from snow depth using the numerical snow cover model SNOWPACK. High-resolution (500 m) reconstructed SWE estimates from the Parallel Energy Balance Model (ParBal) were then compared to the modeled SWE at the stations. The Alpine3D model was then used to create spatial estimates at 25 km resolution to compare with estimates from other snow models. Additionally, the coupled SNOWPACK and Alpine3D system has the advantage of simulating snow profiles, which provides stability information. The median number of critical layers and percentage of faceted layers across all of the pixels containing the AKAH stations were computed. For SWE at the point scale, the reconstructed estimates showed a bias of −42 mm ( −19 %) at peak SWE. For the coarser spatial SWE estimates, the various models showed a wide range, with reconstruction being on the lower end. A heavily faceted snowpack was observed in both years, but 2018, a dry year, according to most of the models, showed more critical layers that persisted for a longer period.
format Article in Journal/Newspaper
author E. H. Bair
K. Rittger
J. A. Ahmad
D. Chabot
author_facet E. H. Bair
K. Rittger
J. A. Ahmad
D. Chabot
author_sort E. H. Bair
title Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
title_short Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
title_full Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
title_fullStr Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
title_full_unstemmed Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan
title_sort comparison of modeled snow properties in afghanistan, pakistan, and tajikistan
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/tc-14-331-2020
https://doaj.org/article/5212c1c4891e4cb0891c9f4b1e32a869
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 14, Pp 331-347 (2020)
op_relation https://www.the-cryosphere.net/14/331/2020/tc-14-331-2020.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-14-331-2020
1994-0416
1994-0424
https://doaj.org/article/5212c1c4891e4cb0891c9f4b1e32a869
op_doi https://doi.org/10.5194/tc-14-331-2020
container_title The Cryosphere
container_volume 14
container_issue 1
container_start_page 331
op_container_end_page 347
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