Comparing the Penman–Monteith equation and a modified Jarvis–Stewart model with an artificial neural network to estimate stand-scale transpiration and canopy conductance
- 1 June 2009
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 373 (1-2) , 256-266
Abstract
No abstract availableKeywords
This publication has 50 references indexed in Scilit:
- Long term trends of stand transpiration in a remnant forest during wet and dry yearsJournal of Hydrology, 2008
- Evapotranspiration over a Japanese cypress forest. I. Eddy covariance fluxes and surface conductance characteristics for 3 yearsJournal of Hydrology, 2007
- Interannual consistency in canopy stomatal conductance control of leaf water potential across seven tree speciesTree Physiology, 2007
- Transpiration from a Cryptomeria japonica plantation, part 1: aerodynamic control of transpirationHydrological Processes, 2006
- Sensitivity of canopy transpiration to altered precipitation in an upland oak forest: evidence from a long‐term field manipulation studyGlobal Change Biology, 2005
- Towards a benchmark for land surface modelsGeophysical Research Letters, 2005
- Self‐organizing linear output map (SOLO): An artificial neural network suitable for hydrologic modeling and analysisWater Resources Research, 2002
- Transpiration from a multi-species deciduous forest as estimated by xylem sap flow techniquesForest Ecology and Management, 2001
- Monsoonal influences on evapotranspiration of savanna vegetation of northern AustraliaOecologia, 2001
- Stomatal and surface conductance of tropical rainforestAgricultural and Forest Meteorology, 1991