Model development in DNDC for the prediction of evapotranspiration and water use in temperate field cropping systems
Environmental Modelling & Software, ISSN: 1364-8152, Vol: 80, Page: 9-25
2016
- 54Citations
- 90Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
This paper integrates recent research to improve, test, and verify the process based DeNtrification DeComposition (DNDC) model to estimate evapotranspiration (ET) through a revised FAO Penman–Monteith approach. ET estimates along with biomass and soil water content for spring wheat and corn were improved and found to be in good agreement with the observations at three field sites in eastern Canada (Ottawa). The statistical evaluations (RMSE (mm day −1 ) and R 2 ) of ET for the newly revised model (0.88 and 0.76 for corn and 0.93 and 0.78 for wheat) showed improvements over DNDC93 (1.95 and 0.22 for corn and 1.62 and 0.09 for wheat) which used the Thornthwaite equation for estimating potential evapotranspiration. In addition, evaluations of water use efficiency for corn and wheat showed good agreement between observations and the modified model. The study demonstrates the inter-dependencies of ET with biomass production and soil/atmosphere water balance.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1364815216300342; http://dx.doi.org/10.1016/j.envsoft.2016.02.014; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84958576596&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1364815216300342; https://dx.doi.org/10.1016/j.envsoft.2016.02.014
Elsevier BV
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