MULTISCALE DATA ASSIMILATION AND FORECASTING BY ZOLTAN TOTH, MARK TEW, DANIEL BIRKENHEUER, STEVE ALBERS, YUANFU XIE, AND BRIAN MOTTA

First Page		Document Content
Date: 2014-01-07 10:33:52 National Weather Service Statistical forecasting Broadcasting Data assimilation Advanced Weather Interactive Processing System Earth System Research Laboratory Numerical weather prediction National Oceanic and Atmospheric Administration Weather forecasting Atmospheric sciences Meteorology Weather prediction		MULTISCALE DATA ASSIMILATION AND FORECASTING BY ZOLTAN TOTH, MARK TEW, DANIEL BIRKENHEUER, STEVE ALBERS, YUANFU XIE, AND BRIAN MOTTA Add to Reading List Source URL: laps.noaa.gov Download Document from Source Website File Size: 144,29 KB Share Document on Facebook

	Intrinsic versus Practical Limits of Multi-Scale Atmospheric Predictability Professor Fuqing Zhang Director, Penn State Center for Advanced Data Assimilation and Predictability DocID: 1vs3e - View Document
	NCMRWF Unified Model and Data Assimilation System NCMRWF Unified model (NCUM) is being used for generating10-day numerical weather forecasts routinely sinceThe NCUM system is based on the Unified Model (UM) develo DocID: 1vh7f - View Document
	HFIP Publications 2017 Journals and Periodicals Aksoy, A., S. Lorsolo, T. Vukicevic, K. J. Sellwood, S. D. Aberson, and F. Zhang, 2012: The HWRF hurricane ensemble data assimilation system (HEDAS) for high-resolution dat DocID: 1v3Or - View Document
	Quantitative Precipitation Forecasting with Polarimetric Radar Data Assimilation: Typhoon SoudelorCHIH-CHIEN TSAI AND YOUNGSUN JUNG 1Taiwan DocID: 1uUER - View Document
	High-rank Ensemble Transform Kalman Filter (HETKF) Bo Huang and Xuguang Wang Multi-scale data Assimilation and Predictability (MAP) Laboratory School of Meteorology, University of Oklahoma, Norman, OK DocID: 1uOhU - View Document