Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis
The Yamal peninsula is a territory of active industrial development as it contains several rich fields of natural condensed gas and oil. The density of the gullies net on the Yamal peninsula is one of the highest in the Russian Arctic. The natural environment or constructions can be potentially dama...
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ftmdpi:oai:mdpi.com:/2073-4441/12/8/2099/ 2023-08-20T04:04:22+02:00 Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis Tatiana Matveeva Aleksey Sidorchuk agris 2020-07-24 application/pdf https://doi.org/10.3390/w12082099 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w12082099 https://creativecommons.org/licenses/by/4.0/ Water; Volume 12; Issue 8; Pages: 2099 the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period summer rains Text 2020 ftmdpi https://doi.org/10.3390/w12082099 2023-07-31T23:49:20Z The Yamal peninsula is a territory of active industrial development as it contains several rich fields of natural condensed gas and oil. The density of the gullies net on the Yamal peninsula is one of the highest in the Russian Arctic. The natural environment or constructions can be potentially damaged by gully erosion and the cost of such damage is high. The models of gully erosion require surface runoff estimates. The hydrological model was developed for surface runoff estimation during the spring snow thaw and summer rains. In the conditions of Arctic climate with deep permafrost, the losses in runoff are limited to evaporation, as soil permeability is negligible. The model was calibrated on the available measurements. The meteorological base for hydrological calculations was ERA5 reanalysis, the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalyses, validated on the meteorological data. The deviations of reanalysis data from the measurements cause the errors in the results of surface runoff calculation. The daily surface runoff can vary in the range of 18–30% due to ERA5 errors in air temperature and snow cover depth. As the daily surface runoff is the main input to the models of gully erosion, these errors must be taken into account in the modelling of gully erosion on the Yamal peninsula. Text Arctic permafrost Yamal Peninsula MDPI Open Access Publishing Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Water 12 8 2099 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period summer rains |
spellingShingle |
the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period summer rains Tatiana Matveeva Aleksey Sidorchuk Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
topic_facet |
the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period summer rains |
description |
The Yamal peninsula is a territory of active industrial development as it contains several rich fields of natural condensed gas and oil. The density of the gullies net on the Yamal peninsula is one of the highest in the Russian Arctic. The natural environment or constructions can be potentially damaged by gully erosion and the cost of such damage is high. The models of gully erosion require surface runoff estimates. The hydrological model was developed for surface runoff estimation during the spring snow thaw and summer rains. In the conditions of Arctic climate with deep permafrost, the losses in runoff are limited to evaporation, as soil permeability is negligible. The model was calibrated on the available measurements. The meteorological base for hydrological calculations was ERA5 reanalysis, the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalyses, validated on the meteorological data. The deviations of reanalysis data from the measurements cause the errors in the results of surface runoff calculation. The daily surface runoff can vary in the range of 18–30% due to ERA5 errors in air temperature and snow cover depth. As the daily surface runoff is the main input to the models of gully erosion, these errors must be taken into account in the modelling of gully erosion on the Yamal peninsula. |
format |
Text |
author |
Tatiana Matveeva Aleksey Sidorchuk |
author_facet |
Tatiana Matveeva Aleksey Sidorchuk |
author_sort |
Tatiana Matveeva |
title |
Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
title_short |
Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
title_full |
Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
title_fullStr |
Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
title_full_unstemmed |
Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis |
title_sort |
modelling of surface runoff on the yamal peninsula, russia, using era5 reanalysis |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/w12082099 |
op_coverage |
agris |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Arctic Yamal Peninsula |
geographic_facet |
Arctic Yamal Peninsula |
genre |
Arctic permafrost Yamal Peninsula |
genre_facet |
Arctic permafrost Yamal Peninsula |
op_source |
Water; Volume 12; Issue 8; Pages: 2099 |
op_relation |
Hydrology https://dx.doi.org/10.3390/w12082099 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/w12082099 |
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Water |
container_volume |
12 |
container_issue |
8 |
container_start_page |
2099 |
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1774714752170196992 |