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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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/8/2099 |
| _version_ | 1797561448193327104 |
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| author | Tatiana Matveeva Aleksey Sidorchuk |
| author_facet | Tatiana Matveeva Aleksey Sidorchuk |
| author_sort | Tatiana Matveeva |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T18:15:04Z |
| format | Article |
| id | doaj.art-8212ec89216c42a0ae8c8ba3d69aa1f6 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T18:15:04Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-8212ec89216c42a0ae8c8ba3d69aa1f62023-11-20T07:48:47ZengMDPI AGWater2073-44412020-07-01128209910.3390/w12082099Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 ReanalysisTatiana Matveeva0Aleksey Sidorchuk1Institute of Geography Russian Academy of Sciences, Laboratory of Climatology, Staromonetniy lane 29, 119017 Moscow, RussiaFaculty of Geography, Lomonosov Moscow State University, Leninskiye Gory 1, 119899 Moscow, RussiaThe 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.https://www.mdpi.com/2073-4441/12/8/2099the Yamal peninsulaERA5 reanalysismeteorological data validationhydrological modelsurface runoffsnow thaw period |
| spellingShingle | Tatiana Matveeva Aleksey Sidorchuk Modelling of Surface Runoff on the Yamal Peninsula, Russia, Using ERA5 Reanalysis Water the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period |
| title | 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_short | 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 |
| topic | the Yamal peninsula ERA5 reanalysis meteorological data validation hydrological model surface runoff snow thaw period |
| url | https://www.mdpi.com/2073-4441/12/8/2099 |
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