Applying Dalton’s law of potential evaporation rate over the territory of Russia and neighboring countries using long-term observation data
Parameters of the relationship between wind speed W and conductance G , used in Dalton’s law for potential evaporation rate, were estimated from the long-term field monitoring data on potential evaporation at 81 stations of the State Hydrological Institute. Linear dependence on W was assumed, that i...
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| Published in | Russian meteorology and hydrology Vol. 36; no. 12; pp. 786 - 793 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Allerton Press, Inc
01.12.2011
Springer Nature B.V |
| Subjects | |
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| Abstract | Parameters of the relationship between wind speed
W
and conductance
G
, used in Dalton’s law for potential evaporation rate, were estimated from the long-term field monitoring data on potential evaporation at 81 stations of the State Hydrological Institute. Linear dependence on
W
was assumed, that is,
G
(
W
) =
g
1
+
g
2
W
. The estimation yielded
g
1
= 165.2 and
g
2
= 99.9. These parameters were employed for computation of potential evaporation rate from routine meteorological data for locations of 2460 meteorological stations of the former USSR territory. The computed estimates were then compared with some published calculated values and with the data of direct potential evaporation rate measurements at 254 geographical points. The comparison yielded satisfactory results. |
|---|---|
| AbstractList | Parameters of the relationship between wind speed W and conductance G, used in Dalton's law for potential evaporation rate, were estimated from the long-term field monitoring data on potential evaporation at 81 stations of the State Hydrological Institute. Linear dependence onWwas assumed, that is, G(W) = g ^sub 1^ + g ^sub 2^ W. The estimation yielded g ^sub 1^ = 165.2 and g ^sub 2^ = 99.9. These parameters were employed for computation of potential evaporation rate from routine meteorological data for locations of 2460 meteorological stations of the former USSR territory. The computed estimates were then compared with some published calculated values and with the data of direct potential evaporation rate measurements at 254 geographical points. The comparison yielded satisfactory results.[PUBLICATION ABSTRACT] Parameters of the relationship between wind speed W and conductance G , used in Dalton’s law for potential evaporation rate, were estimated from the long-term field monitoring data on potential evaporation at 81 stations of the State Hydrological Institute. Linear dependence on W was assumed, that is, G ( W ) = g 1 + g 2 W . The estimation yielded g 1 = 165.2 and g 2 = 99.9. These parameters were employed for computation of potential evaporation rate from routine meteorological data for locations of 2460 meteorological stations of the former USSR territory. The computed estimates were then compared with some published calculated values and with the data of direct potential evaporation rate measurements at 254 geographical points. The comparison yielded satisfactory results. Parameters of the relationship between wind speed W and conductance G, used in Dalton's law for potential evaporation rate, were estimated from the long-term field monitoring data on potential evaporation at 81 stations of the State Hydrological Institute. Linear dependence onWwas assumed, that is, G(W) = g sub(1) + g sub(2) W. The estimation yielded g sub(1) = 165.2 and g sub(2) = 99.9. These parameters were employed for computation of potential evaporation rate from routine meteorological data for locations of 2460 meteorological stations of the former USSR territory. The computed estimates were then compared with some published calculated values and with the data of direct potential evaporation rate measurements at 254 geographical points. The comparison yielded satisfactory results. |
| Author | Korzukhin, M. D. Semenov, S. M. Kolosov, P. A. |
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| Cites_doi | 10.1016/0168-1923(94)02178-M 10.1134/S0097807806060030 10.1098/rspa.1948.0037 10.5194/adgeo-18-15-2008 |
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| Keywords | RUSSIAN Meteorology State Hydrological Institute United Nations Food Global Telecommunication System Potential Evaporation |
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| References | D. D. Baldocchi and K. B. Wilson, “Modeling CO2 and Water Vapor Exchange of a Temperate Broadleaved Forest Across Hourly to Decadal Time Scales,” Ecological Modelling, Nos. 2–3, 142 (2001). M. Weiβ and L. Menzel, “A Global Comparison of Four Potential Evapotranspiration Equations and Their Relevance to Stream Flow Modelling in Semi-arid Environments,” Adv. Geosci., 18 (2008). BrutsaertW. H.DubovA. S.Evaporation into the Atmosphere: Theory, History and Applications1985LeningradGidrometeoizdat UNEP. World Atlas of Desertification (Edward Arnold, London, 1992). E. M. Gusev, O. N. Nasonova, and E. A. Kovalev, “The Simulation of Heat and Water Exchange Components at the Land Surface on Global Scale,” Vodnye Resursy, No. 6, 33 (2006) [Water Resources, No. 6, 33 (2006)]. C. W. Thornthwaite, “An Approach Toward a Rational Classification of Climate,” Geographical Review, No. 1, 38 (1948). ZubenokL. I.Evaporation on Continents1976LeningradGidrometeoizdat O. N. Nasonova, E.M. Gusev, and E. A. Kovalev, “Global Estimates of Heat and Water Exchange Components of Land,” Izv. Akad. Nauk, Ser. Geogr., No. 1 (2008) [Izv., Russ. Acad. Sci., Ser. Geography, No. 1 (2008). F. M. Kelliher, R. Leuning, M. R. Raupach, and E.-D. Schulze, “Maximum Conductances for Evaporation from Global Vegetation Types,” Agricultural and Forest Meteorol., 73 (1995). AllenR. G.PereiraL. S.RaesD.SmithM.Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements1998Italy, RomeUnited Nations Food and Agriculture Organization, Irrigation and Drainage H. L. Penman, “Natural Evaporation from Open Water, Bare Soil, and Grass,” Proc. Roy. Soc., Ser. A, 193 (1948). KolosovaL. N.Geographical Atlas1982MoscowGUGK SM SSSR BudykoM. I.Heat Balance of Earth Surface1956LeningradGidrometeoizdat GusevE. M.NasonovaO. N.Modeling of Heat and Water Exchange between the Land Surface and the Atmosphere2010MoscowNauka P. A. Bartlett, J. H. McCaughey, P. M. Lafleur, and D. L. Verseghy, “Modelling Evapotranspiration at Three Boreal Forest Stands Using the CLASS: Tests of Parameterizations for Canopy Conductance and Soil Evaporation,” Int. J. Climatology, No. 4, 23 (2003). FAO, Global Map of Monthly Reference Evapotranspiration, GeoNetwork, 2000, http://www.fao.org/geonetwork/srv/en/metadata/. 9329_CR12 9329_CR13 9329_CR10 9329_CR11 L. I. Zubenok (9329_CR6) 1976 W. H. Brutsaert (9329_CR1) 1985 9329_CR7 9329_CR5 9329_CR9 M. I. Budyko (9329_CR2) 1956 R. G. Allen (9329_CR8) 1998 (9329_CR3) 1982 9329_CR16 9329_CR14 E. M. Gusev (9329_CR4) 2010 9329_CR15 |
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| Snippet | Parameters of the relationship between wind speed
W
and conductance
G
, used in Dalton’s law for potential evaporation rate, were estimated from the long-term... Parameters of the relationship between wind speed W and conductance G, used in Dalton's law for potential evaporation rate, were estimated from the long-term... |
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| SubjectTerms | Atmospheric Sciences Earth and Environmental Science Earth Sciences Environmental monitoring Evaporation Evaporation rate Meteorology Wind speed |
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| Title | Applying Dalton’s law of potential evaporation rate over the territory of Russia and neighboring countries using long-term observation data |
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