Numerical Simulation of the Thermal Regime of Inland Water Bodies Using the Coupled WRF and LAKE Models

2021 ◽  
pp. 317-325
Author(s):  
D. S. Gladskikh ◽  
A. M. Kuznetsova ◽  
G. A. Baydakov ◽  
Yu. I. Troitskaya
Keyword(s):  
Numerical Simulation ◽  
Thermal Regime ◽  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies

scholarly journals Numerical modeling of thermal regime in inland water bodies with field measurement data

2018 ◽  
Vol 955 ◽  
pp. 012019 ◽  
Author(s):  
D. Gladskikh ◽  
D. Sergeev ◽  
G. Baydakov ◽  
I. Soustova ◽  
Yu. Troitskaya
Keyword(s):  
Numerical Modeling ◽  
Thermal Regime ◽  
Field Measurement ◽  
Measurement Data ◽  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies

Method of Evaluation of Potential Numbers and Biomass of Benthos-eating Fishes of Inland Water Bodies Based on Macrozoobenthos State

2016 ◽  
Vol 52 (6) ◽  
pp. 43-49
Author(s):  
V. V. Zamorov ◽  
Ye. Yu. Leonchyk ◽  
M. P. Zamorova ◽  
M. M. Dzhurtubayev
Keyword(s):  
Water Bodies ◽  
Inland Water ◽  
Method Of Evaluation ◽  
Inland Water Bodies

scholarly journals Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies

2011 ◽  
Vol 5 (2) ◽  
pp. 205 ◽  
Author(s):  
Gouri Sankar Bhunia ◽  
Shreekant Kesari ◽  
Nandini Chatterjee ◽  
Dilip Kumar Pal ◽  
Vijay Kumar ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Spatial Patterns ◽  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies

Comparision of Retrackers’ Performances Over Inland Water Bodies

2018 ◽  
Author(s):  
Q. Gao ◽  
E. Makhoul Varona ◽  
M.J. Escorihuela ◽  
M. Zribi ◽  
P. Quintana-Segui
Keyword(s):  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies

Modification of the k-epsilon scheme and its application for describing turbulence in inland water bodies

2021 ◽  
Author(s):  
Irina Soustova ◽  
Yuliya Troitskaya ◽  
Daria Gladskikh
Keyword(s):  
Prandtl Number ◽  
Turbulent Mixing ◽  
Richardson Number ◽  
Three Dimensional ◽  
Water Bodies ◽  
Inland Water ◽  
Dependent Relation ◽  
Vertical Distributions ◽  
Computing Center ◽  
Inland Water Bodies

<p>A parameterization of the Prandtl number as a function of the gradient Richardson number is proposed in order to correctly take into account stratification when calculating the thermohydrodynamic regime of inland water bodies. This parameterization allows the existence of turbulence at any values ​​of the Richardson number.</p><p>The proposed function is used to calculate the turbulent thermal conductivity coefficient in a k-epsilon mixing scheme. Modification is implemented in the three-dimensional hydrostatic model developed at the Research Computing Center of Moscow State University.</p><p>It is demonstrated that the proposed modification (in contrast to the standard scheme with a constant Prandtl number) leads to smoothing all sharp changes in vertical distributions of turbulent mixing parameters (turbulent kinetic energy, temperature and thickness of the shock layer) and imposes a Richardson number-dependent relation on the empirical constants of k-epsilon turbulent mixing scheme.</p><p>The work was supported by grants of the RF President’s Grant for Young Scientists (MK-1867.2020.5) and by the RFBR (19-05-00249, 20-05-00776). </p>

Global WaterPack – A 250 m resolution dataset revealing the daily dynamics of global inland water bodies

2017 ◽  
Vol 198 ◽  
pp. 345-362 ◽  
Author(s):  
Igor Klein ◽  
Ursula Gessner ◽  
Andreas J. Dietz ◽  
Claudia Kuenzer
Keyword(s):  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies ◽  
Resolution Dataset

Water masses of inland water bodies

1972 ◽  
Vol 18 (2) ◽  
pp. 797-800 ◽  
Author(s):  
B. B. Bogoslovsky ◽  
N. V. Butorin ◽  
K. K. Edelstein
Keyword(s):  
Water Masses ◽  
Water Bodies ◽  
Inland Water ◽  
Inland Water Bodies
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