Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/45482
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dc.contributor.authorTsuang, B.J.en_US
dc.contributor.author莊秉潔zh_TW
dc.contributor.authorTu, C.Y.en_US
dc.date2002zh_TW
dc.date.accessioned2014-06-06T08:15:11Z-
dc.date.available2014-06-06T08:15:11Z-
dc.identifier.issn0747-7309zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/45482-
dc.description.abstract[1] Model structures for the parameterization of energy and water exchanges between the atmosphere and the land are explored, and the parameters are identified. Minimizing the root-mean-square error (RMSE) of the calculated air temperature is used as the objective function. Eight parameters are determined within 14 iterations over two urban sites in a subtropical island. The identified values of these parameters can be compared with those listed in the literature. The results show that (1) a proper choice of canopy resistance is important in determining the mean temperature; (2) using a scheme to calculate stomatal resistance from vegetated areas shows improvements in simulating the diurnal variations of the temperature, decreasing the RMSE by 0.4 K; (3) using a scheme to accommodate the effect of evaporation from skin reservoirs during rain events shows improvements in determining the temperature immediately after the rain, decreasing the RMSE by 0.1 K; (4) while incorporating a soil-moisture availability function does not show improvement in the model performance unless an extra water table variable is added, which decreases the RMSE by 0.03 K. Incorporating all of the above model structures, the calculated hourly air temperature has a correlation coefficient of as high as 0.97 with a RMSE of 1.4 K.en_US
dc.language.isoen_USzh_TW
dc.relationJournal of Geophysical Research-Atmospheresen_US
dc.relation.ispartofseriesJournal of Geophysical Research-Atmospheres, Volume 107, Issue D10.en_US
dc.relation.urihttp://dx.doi.org/10.1029/2001jd000711en_US
dc.subjectinverse problemen_US
dc.subjectparameter identificationen_US
dc.subjectTaipeien_US
dc.subjectHualienen_US
dc.subjectevapotranspirationen_US
dc.subjectland surface processesen_US
dc.subjectsimple biosphere modelen_US
dc.subjectgeneral-circulation modelsen_US
dc.subjecttropical foresten_US
dc.subjectsoil-moistureen_US
dc.subjectcircuit modelen_US
dc.subjectsurfaceen_US
dc.subjectclimateen_US
dc.subjectevapotranspirationen_US
dc.subjectvegetationen_US
dc.subjectsiben_US
dc.titleModel structure and land parameter identification: An inverse problem approachen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1029/2001jd000711zh_TW
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