LEADER 03774nam  2201045z- 450 
001 9910576879303321
005 20220621
035   $a(CKB)5720000000008382
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84491
035   $a(oapen)doab84491
035   $a(EXLCZ)995720000000008382
100   $a20202206d2022      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAdvances in Evaporation and Evaporative Demand
210   $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022
215   $a1 online resource (214 p.)
311 08$a3-0365-4254-X 
311 08$a3-0365-4253-1 
330   $aThe importance of evapotranspiration is well-established in different disciplines such as hydrology, agronomy, climatology, and other geosciences. Reliable estimates of evapotranspiration are also vital to develop criteria for in-season irrigation management, water resource allocation, long-term estimates of water supply, demand and use, design and management of water resources infrastructure, and evaluation of the effect of land use and management changes on the water balance. The objective of this Special Issue is to define and discuss several ET terms, including potential, reference, and actual (crop) ET, and present a wide spectrum of innovative research papers and case studies.
606   $aResearch & information: general$2bicssc
610   $aactual evapotranspiration
610   $aagricultural drought
610   $aartificial neural network
610   $acover crop
610   $acrop irrigation scheduling and management
610   $aCWSI
610   $adrought
610   $adrought characteristics
610   $aERA5-Land data
610   $aevaporation
610   $aevaporation paradox
610   $aevapotranspiration
610   $aevapotranspiration deficit index
610   $aevapotranspiration estimation
610   $aevapotranspiration models
610   $afaba bean
610   $aforest fires
610   $aGK2A/AMI
610   $aglobal dimming
610   $agroundwater
610   $aHurst-Kolmogorov dynamics
610   $ahydrological calibration
610   $ainfrared radiometer sensors
610   $ainterception
610   $aKorean Peninsula
610   $alinear storage model
610   $alocal
610   $along-range dependence
610   $alysimeters
610   $amachine learning
610   $aMann-Kendall
610   $amarginal structure
610   $amicrometeorological data
610   $an/a
610   $aobserved data
610   $aparameter sensitivity
610   $aparametric model
610   $apotential evapotranspiration
610   $aprecipitation
610   $aR language
610   $aRASPOTION
610   $areal-time data analysis
610   $areference evapotranspiration
610   $aregression
610   $aremote sensing
610   $aspatial
610   $aspatial IRT measurements
610   $astochastic simulation
610   $asubhumid climate
610   $atemporal scale sensitivity
610   $atrend analysis
610   $aUAV
610   $aurban rain gardens
610   $awater balance
610   $awater reservoir
610   $awater stress anomaly
610   $awind stilling
615  7$aResearch & information: general
700   $aTegos$b Aristoteles$4edt$01303414
702   $aMalamos$b Nikolaos$4edt
702   $aTegos$b Aristoteles$4oth
702   $aMalamos$b Nikolaos$4oth
906   $aBOOK
912   $a9910576879303321
996   $aAdvances in Evaporation and Evaporative Demand$93027016
997   $aUNINA