Theoretical and Applied Climatology

, Volume 96, Issue 3–4, pp 261–273 | Cite as

Variability of surface characteristics and energy flux patterns of sunn hemp (Crotalaria juncea L.) under well-watered conditions

  • Keiko Takagi
  • Reiji KimuraEmail author
  • Levent Şaylan
Original Paper


There is not much information in the literature about the energy partitioning and micrometeorological features of sunn hemp. Therefore, in this study, the variations in the energy-balance components and plant characteristics such as aerodynamic and surface conductance, crop coefficient, albedo, short- and long wave down- and upward radiation have been measured and estimated for the time period from August to October 2004 over an irrigated sand field at the Arid Land Research Center in Tottori, Japan. The Bowen ratio energy-balance method was used to calculate the partitioning of heat fluxes of sunn hemp. The Bowen ratio values at the first growing stages in August were found to be higher than the Bowen ratio values at the latest growing stages in September and October because of the heavy rain and high soil-water content. The daytime averaged Bowen ratio was 0.19. During the measurement period, the daytime average net radiation, and soil, latent and sensible heat fluxes were approximately 231, 28, 164, and 39 W m–2, respectively. The net radiation and soil heat flux showed decreasing trends from the beginning to the end of the experiment period due to the atmospheric and crop growth conditions. The daytime averages of aerodynamic and surface conductance for sunn hemp were around 31 and 17 mm s–1, respectively. Also, the daytime average albedo of sunn hemp was around 19%. Finally, the high precipitation amount due to typhoons, high soil-water content, low available energy and low vapor-pressure deficit lead to decreasing trend of the energy fluxes during the generative phase of sunn hemp.


Leaf Area Index Latent Heat Flux Crop Coefficient Bowen Ratio Soil Heat Flux 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We would like to thank all of the technicians working for the Arid Land Research Center of Tottori University, for their help during the measurements.


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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  1. 1.Arid Land Research CenterTottori UniversityTottoriJapan
  2. 2.Department of Meteorology, Faculty of Aeronautics and AstronauticsIstanbul Technical UniversityIstanbulTurkey

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