Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia
Water storage is one of the key components of terrestrial water balance, therefore its accurate assessment is necessary for a sufficient description of hydrological processes within river basins. Here we compare terrestrial water storage using calibrated hydrological model ECOMAG forced by gauge obs...
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Lomonosov Moscow State University
2024-01-01
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| Series: | Geography, Environment, Sustainability |
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| Online Access: | https://ges.rgo.ru/jour/article/view/3184 |
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| author | V. Yu. Grigorev I. N. Krylenko A. I. Medvedev V. M. Stepanenko |
| author_facet | V. Yu. Grigorev I. N. Krylenko A. I. Medvedev V. M. Stepanenko |
| author_sort | V. Yu. Grigorev |
| collection | DOAJ |
| description | Water storage is one of the key components of terrestrial water balance, therefore its accurate assessment is necessary for a sufficient description of hydrological processes within river basins. Here we compare terrestrial water storage using calibrated hydrological model ECOMAG forced by gauge observations, uncalibrated INM RAS–MSU land surface model forced by reanalysis and GRACE satellite-based data over Northern Dvina and Pechora River basins. To clearly identify differences between the datasets long-term, seasonal and residual components were derived. Results show a predominance of the seasonal component variability over the region (~64% of the total) by all datasets but INM RAS–MSU shows a substantial percentage of long-term component variability as well (~31%), while GRACE and ECOMAG demonstrate the magnitude around 18%. Moreover, INM RAS–MSU shows lowest magnitude of annual range. ECOMAG and INM RAS–MSU is distinguished by earliest begin of TWS decline in spring, while GRACE demonstrates latest dates. Overall, ECOMAG has shown the lowest magnitude of random error from 9 mm for Northern Dvina basin to 10 mm for Pechora basin, while INM RAS–MSU has shown largest one. |
| format | Article |
| id | doaj-art-6ec69ff3792941a2ac416f25d52deeb2 |
| institution | OA Journals |
| issn | 2071-9388 2542-1565 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Lomonosov Moscow State University |
| record_format | Article |
| series | Geography, Environment, Sustainability |
| spelling | doaj-art-6ec69ff3792941a2ac416f25d52deeb22025-08-20T02:17:34ZengLomonosov Moscow State UniversityGeography, Environment, Sustainability2071-93882542-15652024-01-0116461310.24057/2071-9388-2023-2899698Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European RussiaV. Yu. Grigorev0I. N. Krylenko1A. I. Medvedev2V. M. Stepanenko3Lomonosov Moscow State University; IWP RASLomonosov Moscow State University; IWP RASLomonosov Moscow State University; Hydrometeorological Research Center of the Russian FelerationLomonosov Moscow State University; Lomonosov Moscow State University; Hydrometeorological Research Center of the Russian FelerationWater storage is one of the key components of terrestrial water balance, therefore its accurate assessment is necessary for a sufficient description of hydrological processes within river basins. Here we compare terrestrial water storage using calibrated hydrological model ECOMAG forced by gauge observations, uncalibrated INM RAS–MSU land surface model forced by reanalysis and GRACE satellite-based data over Northern Dvina and Pechora River basins. To clearly identify differences between the datasets long-term, seasonal and residual components were derived. Results show a predominance of the seasonal component variability over the region (~64% of the total) by all datasets but INM RAS–MSU shows a substantial percentage of long-term component variability as well (~31%), while GRACE and ECOMAG demonstrate the magnitude around 18%. Moreover, INM RAS–MSU shows lowest magnitude of annual range. ECOMAG and INM RAS–MSU is distinguished by earliest begin of TWS decline in spring, while GRACE demonstrates latest dates. Overall, ECOMAG has shown the lowest magnitude of random error from 9 mm for Northern Dvina basin to 10 mm for Pechora basin, while INM RAS–MSU has shown largest one.https://ges.rgo.ru/jour/article/view/3184twsgracelsmhydrological modelcold climatethree-cornered hat method |
| spellingShingle | V. Yu. Grigorev I. N. Krylenko A. I. Medvedev V. M. Stepanenko Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia Geography, Environment, Sustainability tws grace lsm hydrological model cold climate three-cornered hat method |
| title | Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia |
| title_full | Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia |
| title_fullStr | Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia |
| title_full_unstemmed | Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia |
| title_short | Evaluation Of Terrestrial Water Storage Products From Remote Sensing, Land Surface Model And Regional Hydrological Model Over Northern European Russia |
| title_sort | evaluation of terrestrial water storage products from remote sensing land surface model and regional hydrological model over northern european russia |
| topic | tws grace lsm hydrological model cold climate three-cornered hat method |
| url | https://ges.rgo.ru/jour/article/view/3184 |
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