Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins
The scenario forecasting technique for assessing changes of water balance components of the northern river basins due to possible climate change was developed. Three IPCC global emission scenarios corresponding to different possible scenarios for economic, technological, political and demographic de...
Published in: | Journal of Hydrology and Hydromechanics |
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Online Access: | https://kramerius.lib.cas.cz/view/uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a https://doi.org/10.2478/johh-2014-0025 |
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ftczechacademysc:oai:kramerius.lib.cas.cz:uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a 2024-03-17T08:55:07+00:00 Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins Gusev, Yeugeniy M. Nasonova, Olga N. 197-208 média svazek https://kramerius.lib.cas.cz/view/uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a https://doi.org/10.2478/johh-2014-0025 unknown https://kramerius.lib.cas.cz/view/uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a doi:10.2478/johh-2014-0025 policy:public water balance components climate change scenarios land surface - atmosphere interactions physicallybased land surface modeling global data sets northern river basins model:article ftczechacademysc https://doi.org/10.2478/johh-2014-0025 2024-02-19T23:28:19Z The scenario forecasting technique for assessing changes of water balance components of the northern river basins due to possible climate change was developed. Three IPCC global emission scenarios corresponding to different possible scenarios for economic, technological, political and demographic development of the human civilization in the 21st century were chosen for generating climate change projections by an ensemble of 16 General Circulation Models with a high spatial resolution. The projections representing increments of monthly values of meteorological characteristics were used for creating 3-hour meteorological time series up to 2063 for the Northern Dvina River basin, which belongs to the pan-Arctic basin and locates at the north of the European part of Russia. The obtained time series were applied as forcing data to drive the land surface model SWAP to simulate possible changes in the water balance components due to different scenarios of climate change for the Northern Dvina River basin. Article in Journal/Newspaper Arctic Basin Arctic Climate change dvina Czech Academy of Sciences: dKNAV Arctic Journal of Hydrology and Hydromechanics 62 3 197 208 |
institution |
Open Polar |
collection |
Czech Academy of Sciences: dKNAV |
op_collection_id |
ftczechacademysc |
language |
unknown |
topic |
water balance components climate change scenarios land surface - atmosphere interactions physicallybased land surface modeling global data sets northern river basins |
spellingShingle |
water balance components climate change scenarios land surface - atmosphere interactions physicallybased land surface modeling global data sets northern river basins Gusev, Yeugeniy M. Nasonova, Olga N. Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
topic_facet |
water balance components climate change scenarios land surface - atmosphere interactions physicallybased land surface modeling global data sets northern river basins |
description |
The scenario forecasting technique for assessing changes of water balance components of the northern river basins due to possible climate change was developed. Three IPCC global emission scenarios corresponding to different possible scenarios for economic, technological, political and demographic development of the human civilization in the 21st century were chosen for generating climate change projections by an ensemble of 16 General Circulation Models with a high spatial resolution. The projections representing increments of monthly values of meteorological characteristics were used for creating 3-hour meteorological time series up to 2063 for the Northern Dvina River basin, which belongs to the pan-Arctic basin and locates at the north of the European part of Russia. The obtained time series were applied as forcing data to drive the land surface model SWAP to simulate possible changes in the water balance components due to different scenarios of climate change for the Northern Dvina River basin. |
format |
Article in Journal/Newspaper |
author |
Gusev, Yeugeniy M. Nasonova, Olga N. |
author_facet |
Gusev, Yeugeniy M. Nasonova, Olga N. |
author_sort |
Gusev, Yeugeniy M. |
title |
Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
title_short |
Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
title_full |
Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
title_fullStr |
Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
title_full_unstemmed |
Application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
title_sort |
application of a technique for scenario prediction of climate change impact on the water balance components of northern river basins |
url |
https://kramerius.lib.cas.cz/view/uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a https://doi.org/10.2478/johh-2014-0025 |
op_coverage |
197-208 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Basin Arctic Climate change dvina |
genre_facet |
Arctic Basin Arctic Climate change dvina |
op_relation |
https://kramerius.lib.cas.cz/view/uuid:54a432b1-815f-48ba-b3b1-94394cf7e92a doi:10.2478/johh-2014-0025 |
op_rights |
policy:public |
op_doi |
https://doi.org/10.2478/johh-2014-0025 |
container_title |
Journal of Hydrology and Hydromechanics |
container_volume |
62 |
container_issue |
3 |
container_start_page |
197 |
op_container_end_page |
208 |
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1793763477624455168 |