<--- Back to Details
First PageDocument Content
Concurrent computing / Distributed computing architecture / Cluster computing / Supercomputer / Computer cluster / Data assimilation / Computational science / Mainframe computer / Cray / Computing / Computer programming / Parallel computing
Date: 2009-09-24 16:42:43
Concurrent computing
Distributed computing architecture
Cluster computing
Supercomputer
Computer cluster
Data assimilation
Computational science
Mainframe computer
Cray
Computing
Computer programming
Parallel computing

DEVELOPMENT OF A MASSIVELY PARALLEL NOGAPS FORECAST MODEL

Add to Reading List

Source URL: www.jcsda.noaa.gov

Download Document from Source Website

File Size: 216,27 KB

Share Document on Facebook

Similar Documents

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