S. Sattanathan, N.C. Narendra, et al.
CONTEXT 2005
Assessment of forecast quality is a critical component for weather model development as well as evaluating the impact on weather sensitive business applications such as renewable energy forecasting, agriculture, insurance etc. This study presents forecast quality results of a high resolution numerical weather model deployed for the country of Brunei at Universiti Brunei Darussalam. We present the monthly accuracy and probability of detection scores for precipitation as well as accuracy scores for Relative Humidity (RH) and Dew Point Temperature (DPT) for the year 2013.
S. Sattanathan, N.C. Narendra, et al.
CONTEXT 2005
N.K. Ratha, A.K. Jain, et al.
Workshop CAMP 2000
Xinyi Su, Guangyu He, et al.
Dianli Xitong Zidonghua/Automation of Electric Power Systems
Eric Price, David P. Woodruff
FOCS 2011