Методы, модели и технологии
  • Аlexander N. Gelfan Water Problems Institute of Russian Academy of Sciences, Moscow, Russia
Ключевые слова: hydrological processes, predictability, physically-based model, weather generator, soil moisture dynamics, frozen soil
(+) Аннотация

Abstract. A method has been developed for assessing the limits of predictability of the frozen soil water content (according to observations at the Nizhnedevitskaya water balance station). The method is based on the analysis of the convergence of a given probabilistic measure (the variance of the calculated soil water content at a given date) to its stable value. The soil water content was simulated by the physically based model of heat and water transfer in a frozen soil column during a autumn-winter seasons. To assess variability of the modelled soil water content at a given date, the boundary meteorological conditions for the autumn-winter period were simulated by the Monte Carlo procedure using a stochastic  weather generator. The initial conditions were assigned as the constant soil temperature and soil moisture values over the
1-meter soil column. The predictability of the soil water content in the one-meter layer of the studied soils has occurred to be about 1.5 months; it means that for the forest-steppe conditions, the soil water content before the beginning of soil freezing cannot serve as an indicator of soil water content before spring. Numerical experiments have shown that the soil water content predictability: (1) grows with an increase in the thickness of the considered soil layer and its depth; (2) decreases for coarser soils as compared to finely dispersed soils; (3) is more sensitive to changes in the soil texture than to changes in the climatic norms of precipitation and air temperature

(+) Об авторе(ах)

Аlexander N. Gelfan,
Water Problems Institute of Russian Academy of Sciences, Moscow, Russia

eLibrary (РИНЦ) SPIN-код: 2193-6327
ORCID ID: 0000-0003-3288-1933
Scopus ID: 6602256614
Researcher ID (WoS):

(+) Литература

Blöschl G. Hydrologic synthesis: Across processes, places, and scales. Water Resources Research, 2006, vol. 42, iss. 3, W03S02. DOI: 10.1029/2005WR004319.

Blöschl G., Sivapalan M. Scale issues in hydrological modelling: A review. Hydrological Processes, 1995, vol. 9, iss. 3-4, pp. 251-290. DOI: 10.1002/hyp.3360090305.

Demchenko P.F., Kislov A.V. Stokhasticheskaya dinamika prirodnykh ob"ektov. Brounovskoe dvizhenie i geofizicheskie prilozheniya [Stochastic dynamics of natural objects: Brownian motion and geophysical applications]. Moscow, Publ. GEOS, 2010. 189 p. (In Russian).

Douville H. Relative contribution of soil moisture and snow mass to seasonal climate predictability: a pilot study. Climate Dynamics, 2010, vol. 34, iss. 6, pp. 797-818. DOI: 10.1007/s00382-008-0508-1.

Dymnikov V.P. Ustoichivost' i predskazuemost' krupnomasshtabnykh atmosfernykh protsessov [Stability and predictability of large-scale atmospheric processes]. Moscow, Publ. IVM RAN, 2007. 282 p. (In Russian).

Gelfan A.N. Dinamiko-stohasticheskoe modelirovanie formirovanija talogo stoka [Dynamic-stochastic modeling of the formation of melt runoff]. Moscow, Publ. Nauka, 2007. 278 p. (In Russian).

Gelfan A.N. Physically based model of heat and water transfer in frozen soil and its parametrization by basic soil data. Predictions in Ungauged Basins: Promises and Progress: Proceedings of the Seventh IAHS Scientific Assembly (April 3-9, 2005, Foz do Iguazu, Brazil), 2006, pp. 293-304.

Kumar P. Typology of hydrologic predictability. Water Resources Research, 2011, vol. 47, iss. 3, W00H05. DOI: 10.1029/2010WR009769.

Lorenz E.N. Climatic predictability. Report of the International Study Conference “The Physical Basis of Climate and Climate Modelling” (29 July – 10 August 1974, Stockholm), Geneva, GARP Publications Series No. 16, 1975, pp. 132-136.

Shukla S., Sheffield J., Wood E.F., Lettenmaier D.P. On the sources of global land surface hydrologic predictability. Hydrology and earth system sciences, 2013, vol. 17, iss. 7, pp. 2781-2796. DOI: 10.5194/hess-17-2781-2013.

Zehe E., Elsenbeer H., Lindenmaier F., Schulz, K., Blöschl G. Patterns of predictability in hydrological threshold systems. Water Resources Research, 2007, vol. 43, iss. 7, W07434. DOI: 10.1029/2006WR005589

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Как цитировать
Аlexander N. Gelfan. (2020). ASSESSING PREDICTABILITY OF HYDROLOGICAL PROCESSES (ON THE EXAMPLE OF FROZEN SOIL WATER CONTENT DYNAMICS). Гидросфера. Опасные процессы и явления, 2(4), 365-374.


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