Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models
An approach has been proposed to analyze the simulated hydrological extreme uncertainty related to the internal variability of the atmosphere ("climate noise"), which is inherent to the climate system and considered as the lowest level of uncertainty achievable in climate impact studies...
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doaj-aa4849c557334d81b334c57e873f7fb02020-11-24T21:24:59ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-06-01369495310.5194/piahs-369-49-2015Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate modelsA. N. Gelfan0A. N. Gelfan1V. A. Semenov2V. A. Semenov3V. A. Semenov4Yu. G. Motovilov5Yu. G. Motovilov6Water Problems Institute of RAS, Moscow, RussiaP.P. Shirshov Institute of Oceanology of RAS, Moscow, RussiaA.M. Obukhov Institute of Atmospheric Physics of RAS, Moscow, RussiaInstitute of Geography of RAS, Moscow, RussiaP.P. Shirshov Institute of Oceanology of RAS, Moscow, RussiaWater Problems Institute of RAS, Moscow, RussiaP.P. Shirshov Institute of Oceanology of RAS, Moscow, RussiaAn approach has been proposed to analyze the simulated hydrological extreme uncertainty related to the internal variability of the atmosphere ("climate noise"), which is inherent to the climate system and considered as the lowest level of uncertainty achievable in climate impact studies. To assess the climate noise effect, numerical experiments were made with climate model ECHAM5 and hydrological model ECOMAG. The case study was carried out to Northern Dvina River basin (catchment area is 360 000 km<sup>2</sup>), whose hydrological regime is characterised by extreme freshets during spring-summer snowmelt period. The climate noise was represented by ensemble ECHAM5 simulations (45 ensemble members) with identical historical boundary forcing and varying initial conditions. An ensemble of the ECHAM5-outputs for the period of 1979–2012 was used (after bias correction post-processing) as the hydrological model inputs, and the corresponding ensemble of 45 multi-year hydrographs was simulated. From this ensemble, we derived flood statistic uncertainty caused by the internal variability of the atmosphere.https://www.proc-iahs.net/369/49/2015/piahs-369-49-2015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. N. Gelfan A. N. Gelfan V. A. Semenov V. A. Semenov V. A. Semenov Yu. G. Motovilov Yu. G. Motovilov |
spellingShingle |
A. N. Gelfan A. N. Gelfan V. A. Semenov V. A. Semenov V. A. Semenov Yu. G. Motovilov Yu. G. Motovilov Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models Proceedings of the International Association of Hydrological Sciences |
author_facet |
A. N. Gelfan A. N. Gelfan V. A. Semenov V. A. Semenov V. A. Semenov Yu. G. Motovilov Yu. G. Motovilov |
author_sort |
A. N. Gelfan |
title |
Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
title_short |
Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
title_full |
Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
title_fullStr |
Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
title_full_unstemmed |
Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
title_sort |
climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models |
publisher |
Copernicus Publications |
series |
Proceedings of the International Association of Hydrological Sciences |
issn |
2199-8981 2199-899X |
publishDate |
2015-06-01 |
description |
An approach has been proposed to analyze the simulated hydrological extreme
uncertainty related to the internal variability of the atmosphere ("climate
noise"), which is inherent to the climate system and considered as the
lowest level of uncertainty achievable in climate impact studies. To assess
the climate noise effect, numerical experiments were made with climate model
ECHAM5 and hydrological model ECOMAG. The case study was carried out to
Northern Dvina River basin (catchment area is 360 000 km<sup>2</sup>), whose
hydrological regime is characterised by extreme freshets during
spring-summer snowmelt period. The climate noise was represented by ensemble
ECHAM5 simulations (45 ensemble members) with identical historical boundary
forcing and varying initial conditions. An ensemble of the ECHAM5-outputs
for the period of 1979–2012 was used (after bias correction post-processing)
as the hydrological model inputs, and the corresponding ensemble of 45
multi-year hydrographs was simulated. From this ensemble, we derived flood
statistic uncertainty caused by the internal variability of the atmosphere. |
url |
https://www.proc-iahs.net/369/49/2015/piahs-369-49-2015.pdf |
work_keys_str_mv |
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