作者: William M. Jolly , Jonathan M. Graham , Andrew Michaelis , Ramakrishna Nemani , Steven W. Running
DOI: 10.1016/J.ENVSOFT.2004.05.003
关键词:
摘要: Abstract The generation of meteorological surfaces from point-source data is a difficult but necessary step required for modeling ecological and hydrological processes across landscapes. To date, procedures to acquire, transform, display information geographically have been specifically tailored individual studies. Here we offer flexible, integrated system that employs relational database store point information, modular incorporating choice weather interpolation methods, matrix inversion method speeds computer calculations on grids any specified size, all with minimal user intervention. We demonstrate the power this approach by cross-validating projected daily derived ∼1200 stations distributed continental United States year. performed cross-validations five variables (solar radiation, minimum maximum temperatures, humidity, precipitation) truncated Gaussian filter, ordinary kriging inverse distance weighting achieved comparable success among methods. Cross-validation computation time was reduced 1 h 3 min when incorporated method. demonstrated system's flexibility displaying results at 8-km resolution USA one-degree globe.