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| Titel |
Impact of implementation of spaceborne lidar-retrieved canopy height in the
WRF model |
| VerfasserIn |
Junhong Lee, Jinkyu Hong |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250148438
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| Publikation (Nr.) |
 EGU/EGU2017-12696.pdf |
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| Zusammenfassung |
| Canopy height is closely related to biomass and aerodynamic properties, which regulate
turbulent transfer of energy and mass at the soil-vegetation-atmosphere continuum.
However, this key information has been prescribed as a constant value in a fixed plant
functional type in atmospheric models. This presentation reports impacts of using
realistic forest canopy height, retrieved from spaceborne LiDAR, on regional climate
simulation in the Weather Research and Forecasting (WRF) model’s land surface model.
Numerical simulations were conducted over the Amazon Basin and East Asia during
summer season. Over these regions, the LiDAR-retrieved canopy heights were
higher than the default values used in the WRF,which are dependent only on plant
functional type. By modifying roughness length and zero-plane displacement height, the
change of canopy height resulted in changes in surface energy balance by regulating
aerodynamic conductances and vertical temperature gradient, thus modifying the lifting
condensation level and equivalent potential temperature in the atmospheric boundary
layer. Our analysis also showed that the WRF model better reproduced the observed
precipitation when LiDAR-retrieved canopy height was used over the Amazon Basin. |
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