Modelling of Seasonal Evapotranspiration from an Agricultural Field Using the Canadian Land Surface Scheme (CLASS) with a Pedotransfer Rule and Multicriteria Optimization-Reference-Cited by-同舟云学术

Modelling of Seasonal Evapotranspiration from an Agricultural Field Using the Canadian Land Surface Scheme (CLASS) with a Pedotransfer Rule and Multicriteria Optimization

Published:2015-01-19 Issue:2 Volume:53 Page:161-175
ISSN:0705-5900
Container-title:Atmosphere-Ocean
language:en
Short-container-title:Atmosphere-Ocean

Author:

Morais A.,Fortin V.,Anctil F.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Atmospheric Science,Oceanography

Link

http://www.tandfonline.com/doi/pdf/10.1080/07055900.2014.999745

Reference45 articles.

1. Evaluating the Impact of Assimilating Soil Moisture Variability Data on Latent Heat Flux Estimation in a Land Surface Model

2. Effects of seasonal and interannual climate variability on net ecosystem productivity of boreal deciduous and conifer forests

3. Simulating energy and carbon fluxes over winter wheat using coupled land surface and terrestrial ecosystem models

4. Application of the Canadian land surface scheme to a full canopy crop during a drying cycle

5. Performance of the Canadian land surface scheme at temperate aspen‐birch and mixed forests, and a boreal young jack pine forest: Tests involving canopy conductance parametrizations

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1. Development of Pedotransfer Functions to Predict Soil Physical Properties in Southern Quebec (Canada);Agronomy;2022-02-20

2. Can we replace observed forcing with weather generator in land surface modeling? Insights from long-term simulations at two contrasting boreal sites;Theoretical and Applied Climatology;2021-04-27

3. Comparing the Performance of the Maximum Entropy Production Model With a Land Surface Scheme in Simulating Surface Energy Fluxes;Journal of Geophysical Research: Atmospheres;2019-03-27

4. Solar radiation transmittance of a boreal balsam fir canopy: Spatiotemporal variability and impacts on growing season hydrology;Agricultural and Forest Meteorology;2018-12