Estimating surface water availability in high mountain rock slopes using a numerical energy balance model
Model output, forcing data and physical parameters used to estimate water and energy balance. The model was calibrated with field measurements from a study site in the Mont-Blanc massif, at 3842 m a.s.l, at a slope of 55 deegrees and aspect azimut of 150 degrees (south-east). The different ModelOutp...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://zenodo.org/record/7224692 https://doi.org/10.5281/zenodo.7224692 |
id |
ftzenodo:oai:zenodo.org:7224692 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:7224692 2023-05-15T16:37:51+02:00 Estimating surface water availability in high mountain rock slopes using a numerical energy balance model Matan Ben-Asher 2022-10-19 https://zenodo.org/record/7224692 https://doi.org/10.5281/zenodo.7224692 eng eng info:eu-repo/grantAgreement/ANR//ANR-19-CE01-0018/ doi:10.5281/zenodo.7224691 https://zenodo.org/record/7224692 https://doi.org/10.5281/zenodo.7224692 oai:zenodo.org:7224692 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode mountain permafrost steep rock walls snowmelt mont blanc info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.722469210.5281/zenodo.7224691 2023-03-10T19:10:28Z Model output, forcing data and physical parameters used to estimate water and energy balance. The model was calibrated with field measurements from a study site in the Mont-Blanc massif, at 3842 m a.s.l, at a slope of 55 deegrees and aspect azimut of 150 degrees (south-east). The different ModelOutput files are from simulations at different elevastions (from 4800 m to 2700 m at steps of 300 m). We used the CryoGrid community model (version 1.0) toolbox (Westermann et al., 2022) to simulate the 1D ground thermal regime and ice/water balance, and estimate the availability of surface water and its potential for infiltration in rock fractures. The S2M-SAFRAN dataset combines output from a numerical weather prediction model and in situ observations, and was originally developed for operational needs to estimate avalanche hazard in mountainous areas (Durand et al., 1993). The S2M-SAFRAN dataset that we used is available for various mountain areas, at elevation steps of 300 m, and with an hourly resolution between the years 1958 to 2021 (Vernay et al., 2022). It includes most parameters that are required for modeling with CryoGrid: Relative humidity, air T, incoming long wavelength radiation, incoming short wavelength solar radiation, and wind speed. To complete the forcing data we used top of the atmosphere incident solar radiation from ERA5 global reanalysis dataset (Hersbach et al., 2020). Dataset Ice permafrost Zenodo Mont Blanc ENVELOPE(69.468,69.468,-49.461,-49.461) Azimut ENVELOPE(-58.300,-58.300,-63.750,-63.750) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
mountain permafrost steep rock walls snowmelt mont blanc |
spellingShingle |
mountain permafrost steep rock walls snowmelt mont blanc Matan Ben-Asher Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
topic_facet |
mountain permafrost steep rock walls snowmelt mont blanc |
description |
Model output, forcing data and physical parameters used to estimate water and energy balance. The model was calibrated with field measurements from a study site in the Mont-Blanc massif, at 3842 m a.s.l, at a slope of 55 deegrees and aspect azimut of 150 degrees (south-east). The different ModelOutput files are from simulations at different elevastions (from 4800 m to 2700 m at steps of 300 m). We used the CryoGrid community model (version 1.0) toolbox (Westermann et al., 2022) to simulate the 1D ground thermal regime and ice/water balance, and estimate the availability of surface water and its potential for infiltration in rock fractures. The S2M-SAFRAN dataset combines output from a numerical weather prediction model and in situ observations, and was originally developed for operational needs to estimate avalanche hazard in mountainous areas (Durand et al., 1993). The S2M-SAFRAN dataset that we used is available for various mountain areas, at elevation steps of 300 m, and with an hourly resolution between the years 1958 to 2021 (Vernay et al., 2022). It includes most parameters that are required for modeling with CryoGrid: Relative humidity, air T, incoming long wavelength radiation, incoming short wavelength solar radiation, and wind speed. To complete the forcing data we used top of the atmosphere incident solar radiation from ERA5 global reanalysis dataset (Hersbach et al., 2020). |
format |
Dataset |
author |
Matan Ben-Asher |
author_facet |
Matan Ben-Asher |
author_sort |
Matan Ben-Asher |
title |
Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
title_short |
Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
title_full |
Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
title_fullStr |
Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
title_full_unstemmed |
Estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
title_sort |
estimating surface water availability in high mountain rock slopes using a numerical energy balance model |
publishDate |
2022 |
url |
https://zenodo.org/record/7224692 https://doi.org/10.5281/zenodo.7224692 |
long_lat |
ENVELOPE(69.468,69.468,-49.461,-49.461) ENVELOPE(-58.300,-58.300,-63.750,-63.750) |
geographic |
Mont Blanc Azimut |
geographic_facet |
Mont Blanc Azimut |
genre |
Ice permafrost |
genre_facet |
Ice permafrost |
op_relation |
info:eu-repo/grantAgreement/ANR//ANR-19-CE01-0018/ doi:10.5281/zenodo.7224691 https://zenodo.org/record/7224692 https://doi.org/10.5281/zenodo.7224692 oai:zenodo.org:7224692 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.722469210.5281/zenodo.7224691 |
_version_ |
1766028155501412352 |