Microsoft Word - Miyoshi_FY11 Annual Report - Numerical data - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2014-12-24 10:08:49 Weather prediction Bayesian statistics Estimation theory Computational science Statistical forecasting Eugenia Kalnay Atmospheric model Data assimilation Numerical weather prediction Atmospheric sciences Meteorology Science		Microsoft Word - Miyoshi_FY11 Annual Report Add to Reading List Source URL: www.nopp.org Download Document from Source Website File Size: 1,89 MB Share Document on Facebook

	The 17th IHP Training Course “Numerical Prediction of High-Impact Weather Systems” 2-15 December, 2007, Nagoya, Japan 名古屋大学にて講義/ 現地見学/ DocID: 1v4hU - View Document
	Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers Josh Hacker, John Exby, Dave Gill National Center for Atmospheric Research DocID: 1sog4 - View Document
	Wind speed forecasting using spatio-temporal indicators Orlando Ohashi 1,2 and Lu´ıs Torgo 2 Abstract. From small farms to electricity markets the interest and importance of wind power production is continuously increa DocID: 1ru6X - View Document
	4.3 Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers. Hacker, Josh, John Exby, David Gill, National Center for Atmospheric Research, and Ca DocID: 1rsMh - View Document
	2016 HEPEX Workshop, Quebec, Canada Ensemble for better hydrological forecasts Day 1: 6 June: Registration and coffee DocID: 1rkoJ - View Document