Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Parameterizing a hydrological model using a short-term observational data set to study runoff generation processes and reproduce recent trends in streamflow at a remote mountainous permafrost basin. / Nesterova, N.; Makarieva, O.; Post, David.
в: Hydrological Processes, Том 35, № 7, e14278, 10.2020.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Parameterizing a hydrological model using a short-term observational data set to study runoff generation processes and reproduce recent trends in streamflow at a remote mountainous permafrost basin
AU - Nesterova, N.
AU - Makarieva, O.
AU - Post, David
PY - 2020/10
Y1 - 2020/10
N2 - Recent decades have seen a change in the runoff characteristics of the Suntar River in Eastern Siberia. This study attempts to attribute these changed hydrological conditions through parameterizing a hydrological model based on historical short-term observations conducted in 1957-1959 at the Suntar-Khayata research station. The Hydrograph model is applied as it has the advantage of using observed physical properties of landscapes as its parameters. The developed parametrization of the goltsy landscape (rocky-talus) is verified by comparison of the results of simulations of variable states of snow and frozen ground with observations carried out in 1957-1959. Continuous simulations of streamflow on a daily time step are conducted for the period 1957-2012 in the Suntar River (area 7680 km2, altitude 828-2794 m) with mean and median values of Nash-Sutcliff criteria reaching 0.58 and 0.67 respectively. The results of simulations have shown that the largest component of runoff (about 70%) is produced in the high-altitude area which comprises only 44% of the Suntar River basin area. The simulated streamflow reproduces the patterns of recently observed changes, including the increase in low flows, suggesting that the increase in the proportion of liquid precipitation in autumn due to air temperature rise is an important factor in driving streamflow changes in the region. The data presented are unique for the vast mountainous parts of North-Eastern Eurasia which play an important role in global climate system. The results indicate that parameterizing a hydrological model based on observations rather than blind calibration allows the model to be used in studying the response of river basins to climate change with greater confidence.
AB - Recent decades have seen a change in the runoff characteristics of the Suntar River in Eastern Siberia. This study attempts to attribute these changed hydrological conditions through parameterizing a hydrological model based on historical short-term observations conducted in 1957-1959 at the Suntar-Khayata research station. The Hydrograph model is applied as it has the advantage of using observed physical properties of landscapes as its parameters. The developed parametrization of the goltsy landscape (rocky-talus) is verified by comparison of the results of simulations of variable states of snow and frozen ground with observations carried out in 1957-1959. Continuous simulations of streamflow on a daily time step are conducted for the period 1957-2012 in the Suntar River (area 7680 km2, altitude 828-2794 m) with mean and median values of Nash-Sutcliff criteria reaching 0.58 and 0.67 respectively. The results of simulations have shown that the largest component of runoff (about 70%) is produced in the high-altitude area which comprises only 44% of the Suntar River basin area. The simulated streamflow reproduces the patterns of recently observed changes, including the increase in low flows, suggesting that the increase in the proportion of liquid precipitation in autumn due to air temperature rise is an important factor in driving streamflow changes in the region. The data presented are unique for the vast mountainous parts of North-Eastern Eurasia which play an important role in global climate system. The results indicate that parameterizing a hydrological model based on observations rather than blind calibration allows the model to be used in studying the response of river basins to climate change with greater confidence.
KW - remote high-altitude permafrost basin
KW - Hydrograph modeling
KW - short-term observation
KW - hydrological model parametrization
KW - goltsy
KW - climate change
KW - Suntar River
UR - https://d197for5662m48.cloudfront.net/documents/publicationstatus/49593/preprint_pdf/d61d7f4ff4ac7f1d9dcea61a72098d43.pdf
UR - https://onlinelibrary.wiley.com/doi/abs/10.1002/hyp.14278
M3 - Article
VL - 35
JO - Hydrological Processes
JF - Hydrological Processes
SN - 0885-6087
IS - 7
M1 - e14278
ER -
ID: 72686621