Computer Science – Sound
Scientific paper
Dec 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agufm.h22i..04b&link_type=abstract
American Geophysical Union, Fall Meeting 2001, abstract #H22I-04
Computer Science
Sound
0315 Biosphere/Atmosphere Interactions, 0399 General Or Miscellaneous, 1866 Soil Moisture, 1878 Water/Energy Interactions, 1899 General Or Miscellaneous
Scientific paper
In April 1999, the Norman Mesonet site (NORM) was upgraded to include sensors to measure latent, sensible, and ground heat fluxes, as well as net radiation. In addition, over 2,000 discrete soil samples were collected within a 20 X 20 m enclosure encompassing the Norman Mesonet site between 1 June 1999 and 15 August 1999. These samples were collected to provide point-scale observations of soil-water content for field validation of in situ soil moisture sensors installed at NORM (the Campbell Scientific model 229-L). The field samples were also used to determine the spatial and temporal variability of soil moisture conditions at the Norman site. Using the Oregon State University (OSU) one-dimensional, coupled atmospheric-plant-soil model, in situ and field observations of soil moisture, atmospheric soundings from the National Weather Service Weather Forecast Office (NWS WFO) in Norman, and atmospheric observations collected at the NORM site, planetary boundary layer conditions were examined at NORM during July 1999. Results indicate that latent and sensible heat fluxes in the model simulations varied by as much as 300 W m-2 due to natural variability of soil-water content determined from field samples and biases occurring in the in situ measurements. Furthermore, ground heat flux values derived by the model varied as much as 50 W m-2. Because soil characteristics are fractal, an ensemble approach was used to simulate parameters in the planetary boundary layer (PBL). The ensemble simulations reduced the root mean squared error (RMSE) with the observed values by nearly 40% for latent heat flux and PBL depth when compared with non-ensemble simulations. Furthermore RMSE values decreased nearly 50% for sensible heat flux and the evaporative fraction when ensemble simulations were used.
Basara Jeffrey B.
Crawford Kenneth C.
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