Zobrazeno 1 - 10
of 397
pro vyhledávání: '"V. M. Khan"'
Autor:
P. O. Zavialov, A. S. Izhitskiy, G. B. Kirillin, V. M. Khan, B. V. Konovalov, P. N. Makkaveev, V. V. Pelevin, N. A. Rimskiy-Korsakov, S. A. Alymkulov, K. M. Zhumaliev
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 6279-6295 (2018)
This article reports the results of three field campaigns conducted in Lake Issyk-Kul in 2015, 2016, and 2017. During the campaigns, CTD profiling and water sampling were performed at 34 locations all over the lake. A total of 75 CTD profiles were ob
Externí odkaz:
https://doaj.org/article/1fca9ccc53014ae8b22b69fa16e57f8b
Publikováno v:
Russian Meteorology and Hydrology. 47:1-13
Publikováno v:
Russian Meteorology and Hydrology. 44:169-179
The ability to forecast air temperature and precipitation at monthly-seasonal time scale in the Amur River basin is assessed. The climatic characteristics of actual monthly values of air temperature and total precipitation are compared with those bas
Autor:
V. M. Khan, I.A. Kulikova, R.B. Zaripov, V.N. Kryjov, D.B. Kiktev, V.A. Tischenko, R. M. Vil’fand, Mikhail A. Tolstykh, E.N. Kruglova
Publikováno v:
Hydrometeorological research and forecasting. 4:12-36
Autor:
Elena Roget, V. M. Khan
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 70, Iss 1, Pp 1-12 (2018)
Tellus A: Dynamic Meteorology and Oceanography, 2018, vol. 70, núm. 1, P.1-12
Articles publicats (D-F)
DUGiDocs – Universitat de Girona
instname
Tellus A: Dynamic Meteorology and Oceanography, 2018, vol. 70, núm. 1, P.1-12
Articles publicats (D-F)
DUGiDocs – Universitat de Girona
instname
Changes in the surface air diurnal temperature range (DTR) have been highlighted by the Intergovernmental Panel on Climate Change as critical uncertainties in climate change studies. Due to global and local factors, the regional climate in the Aral S
Publikováno v:
Pure and Applied Geophysics. 175:465-478
This study explores the impacts of the desiccation of the Aral Sea and large-scale climate change on the regional climate of Central Asia in the post-1960 era. A series of climate downscaling experiments for the 1960’s and 2000’s decades were per
Autor:
D. N. Utkuzova, V. F. Martazinova, V. Yu. Tsepelev, V. A. Tishchenko, G. V. Eliseev, V. M. Khan, E. K. Ivanova, R. M. Vil’fand, N. P. Mironicheva
Publikováno v:
Russian Meteorology and Hydrology. 42:485-493
The results of experiments on the integration of synoptic and hydrodynamic forecasts of monthly air temperature for the northwestern part of Eurasia for the period of 2011–2015 are presented. The comprehensive comparison of skill scores of individu
Autor:
Aaron Enriquez-Alonso, Lidya Dmitrieva, Josep-Abel González, V. M. Khan, Arturo Sanchez-Lorenzo, Jordi Badosa, Josep Calbó
Publikováno v:
International Journal of Climatology. 36:1428-1443
This research was developed under the auspices of, and with funding from, the project ‘CLIMSEAS: Climate Change and Inland Seas: Phenomena, Feedbacks, and Uncertainties. The Physical Science Basis’, of the Seventh Framework Programme, European Un
Autor:
V. M. Khan, V. Yu. Tsepelev
Publikováno v:
Russian Meteorology and Hydrology. 40:231-241
Demonstrated is the possibility of using the probabilistic approach to synoptic forecasts worked out using the Vangengeim-Girs and Mul’tanovskii-Pagava methods. The approach is realized by analogy with the probabilistic interpretation of ensemble h
Autor:
V. A. Tishchenko, V. M. Khan, R. Yu. Ignatov, V. I. Bychkova, Elena Roget, K. G. Rubinshtein, S. V. Emelina, M. M. Smirnova
Publikováno v:
© Russian Meteorology and Hydrology, 2014, vol. 39, núm. 11, p. 727-735
Articles publicats (D-F)
DUGiDocs – Universitat de Girona
instname
Recercat. Dipósit de la Recerca de Catalunya
Articles publicats (D-F)
DUGiDocs – Universitat de Girona
instname
Recercat. Dipósit de la Recerca de Catalunya
Described is the impact of the Aral Sea desiccation on the local climate and the impact of its numerical prediction in the region. Presented is the analysis of two series of numerical experiments with the WRF-ARW model (numerical prediction and weath