- freely available
Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling
AbstractMesoscale climate and hydrology modeling studies have increased in sophistication and are being run at increasingly higher resolutions. Data resolution sufficiently finer than that of the computational model is required not only to support sophisticated linkages and process interactions at small scales but to assess their cumulative impact at larger scales. The global distributions at fine spatial and temporal scales can be described by means of various senor imagery data collected through remote sensing techniques, sensor image and photo programs, scanning and digitizing skills for existing maps, etc. The availability of global sensor imagery maps facilitates assimilation in land surface models to account for terrestrial dynamics. This study focuses on the use of global imagery data for development and construction of surface boundary conditions (SBCs) specifically designed for mesoscale regional climate model (RCM) applications. The several SBCs are currently presented in a RCM domain for the continent of Asia at 30-km spacing by using sensor imagery data. Geographic Information System (GIS) software application tools are mainly used to convert data information from various raw data onto RCM-specific grids. The raw data sources and processing procedures are elaborated in detail, by which the SBCs can be readily constructed for any specific RCM domain anywhere in the world.
Share & Cite This Article
Choi, H.I. Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling. Sensors 2011, 11, 6728-6742.View more citation formats
Choi HI. Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling. Sensors. 2011; 11(7):6728-6742.Chicago/Turabian Style
Choi, Hyun Il. 2011. "Use of Sensor Imagery Data for Surface Boundary Conditions in Regional Climate Modeling." Sensors 11, no. 7: 6728-6742.
Notes: Multiple requests from the same IP address are counted as one view.