R. Dubayah
Research Subjects
Research Interests
R. Dubayah has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
S. Loechel
1 shared publication
Latest Publications
- Open Access
- 1 February 1997
- Published by American Meteorological Society in Journal of Applied Meteorology and Climatology
- Vol. 36 (2) , 141-154
Modeling Topographic Solar Radiation Using GOES Data
In this paper the authors present an algorithm that combines solar radiation fields derived from Geostationary Operational Environmental Satellite (GOES) observations with digital elevation data to produce topographically varying insolation fields at fine grid spacing. Cloud-modulated irradiances are obtained using hourly 8-km resolution GOES observations. These irradiances are then spatially integrated to the grid spacing of the digital elevation data. The integration accounts for uncertainties in satellite navigation, the limited sensor resolution relative to the hemispheric field of view of a terrain element, and the mismatch between the instantaneous fluxes estimated by GOES observations and the time-integrated quantities typically used in distributed modeling, such as hourly fluxes. The integrated fields are partitioned into direct and diffuse components and then adjusted for the effects of elevation. Lastly, other topographic effects, such as slope orientation, shadowing, sky obstruction, a... Abstract In this paper the authors present an algorithm that combines solar radiation fields derived from Geostationary Operational Environmental Satellite (GOES) observations with digital elevation data to produce topographically varying insolation fields at fine grid spacing. Cloud-modulated irradiances are obtained using hourly 8-km resolution GOES observations. These irradiances are then spatially integrated to the grid spacing of the digital elevation data. The integration accounts for uncertainties in satellite navigation, the limited sensor resolution relative to the hemispheric field of view of a terrain element, and the mismatch between the instantaneous fluxes estimated by GOES observations and the time-integrated quantities typically used in distributed modeling, such as hourly fluxes. The integrated fields are partitioned into direct and diffuse components and then adjusted for the effects of elevation. Lastly, other topographic effects, such as slope orientation, shadowing, sky obstruction, a...
- 1 February 1997
- Published by American Meteorological Society in Journal of Applied Meteorology and Climatology
- Vol. 36 (2) , 141-154
Open AccessModeling Topographic Solar Radiation Using GOES Data
In this paper the authors present an algorithm that combines solar radiation fields derived from Geostationary Operational Environmental Satellite (GOES) observations with digital elevation data to produce topographically varying insolation fields at fine grid spacing. Cloud-modulated irradiances are obtained using hourly 8-km resolution GOES observations. These irradiances are then spatially integrated to the grid spacing of the digital elevation data. The integration accounts for uncertainties in satellite navigation, the limited sensor resolution relative to the hemispheric field of view of a terrain element, and the mismatch between the instantaneous fluxes estimated by GOES observations and the time-integrated quantities typically used in distributed modeling, such as hourly fluxes. The integrated fields are partitioned into direct and diffuse components and then adjusted for the effects of elevation. Lastly, other topographic effects, such as slope orientation, shadowing, sky obstruction, a... Abstract In this paper the authors present an algorithm that combines solar radiation fields derived from Geostationary Operational Environmental Satellite (GOES) observations with digital elevation data to produce topographically varying insolation fields at fine grid spacing. Cloud-modulated irradiances are obtained using hourly 8-km resolution GOES observations. These irradiances are then spatially integrated to the grid spacing of the digital elevation data. The integration accounts for uncertainties in satellite navigation, the limited sensor resolution relative to the hemispheric field of view of a terrain element, and the mismatch between the instantaneous fluxes estimated by GOES observations and the time-integrated quantities typically used in distributed modeling, such as hourly fluxes. The integrated fields are partitioned into direct and diffuse components and then adjusted for the effects of elevation. Lastly, other topographic effects, such as slope orientation, shadowing, sky obstruction, a...