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Avoiding static land surface models: improvements in simulating water–energy–vegetation dynamics
Avoiding static land surface models: improvements in simulating water–energy–vegetation dynamics

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Researchers from the Institute of Industrial Science, The University of Tokyo improve the accuracy of land surface models in capturing terrestrial water and energy budgets. Their combined hillslope water dynamic and vegetation model predicts the division of precipitation into soil moisture, evapotranspiration and runoff with improved accuracy. This new approach to land surface modeling is hoped to inform sustainable land and water management.

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YOSHIMURA Kei Professor
  • Isotope Meteorology
  • Department of Human and Social Systems
  • Large-Scale Experiment and Advanced-Analysis Platform(LEAP)
  • Disaster Management Training Center (DMTC)
  • Civil Engineering : Graduate School of Engineering
  • Natural Environmental Studies : Graduate School of Frontier Sciences
YAMAZAKI Dai Associate Professor
  • Global Hydrology
  • Department of Human and Social Systems
  • Open Engineering Center
  • Civil Engineering : Graduate School of Engineering
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