New efficient sparse space-time algorithms for superparameterization on mesoscales

Monthly Weather Review

Volumn 137, Issue 12, 2009, Pages 4307-4324

  Xing, Yulong ^a   Majda, Andrew J ^a   Grabowski, Wojciech W ^b  

^a NEW YORK UNIVERSITY   (United States)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD RESOLVING MODEL; COMPUTATION COSTS; COUPLING MECHANISM; EFFICIENT ALGORITHM; ENSEMBLE FORECASTING; EXPLICIT REPRESENTATION; HORIZONTAL VELOCITY; LARGE-SCALE DYNAMICS; LARGE-SCALE MODELING; LARGE-SCALE MODELS; MESOSCALE; MOIST CONVECTION; NUMERICAL RESULTS; PATTERN CORRELATION; PERIODIC DOMAINS; SMALL-SCALE MODELS; SPECIFIC HUMIDITY; SQUALL LINES; STATISTICAL ACCURACY; SUPERPARAMETERIZATION; TIME ALGORITHMS; TIME INTERVAL; TIME REDUCTION; TWO-DIMENSIONAL TESTS;

ALGORITHMS; COST REDUCTION; MOISTURE; NUMERICAL ANALYSIS; SHEAR STRENGTH; SPACE TIME ADAPTIVE PROCESSING; STORMS;

COMPUTATIONAL EFFICIENCY;

ALGORITHM; ATMOSPHERIC CONVECTION; ATMOSPHERIC DYNAMICS; ATMOSPHERIC MODELING; COMPUTER SIMULATION; ENSEMBLE FORECASTING; PARAMETERIZATION; SQUALL LINE; WEATHER FORECASTING;

EID: 76549087041     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2858.1     Document Type: Article

References (24)

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