New Efficient Sparse Space―Time Algorithms for Superparameterization on Mesoscales

• Published in: Monthly weather review Vol. 137; no. 12; pp. 4307 - 4324
• Main Authors: YULONG XING, MAJDA, Andrew J, GRABOWSKI, Wojciech W
• Format: Journal Article
• Language: English
• Published: Boston, MA American Meteorological Society 01.12.2009
• Subjects: ACCURACY; ALGORITHMS; CONVECTION; Earth, ocean, space; EFFICIENCY; Exact sciences and technology; External geophysics; Fluid dynamics; FORECASTING; GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; HUMIDITY; Meteorology; Methods; Scale models; SHEAR; SHEAR PROPERTIES; SIMULATION; SPACE-TIME; Specific humidity; Studies; VELOCITY; Weather forecasting; Ensemble simulation; Aquaplanet model; algorithms; coupling; Squall line; shear strength; efficiency; Mesoscale; Specific humidity; clouds; Limited area model; Modeling

Superparameterization (SP) is a large-scale modeling system with explicit representation of small-scale and mesoscale processes provided by a cloud-resolving model (CRM) embedded in each column of a large-scale model. New efficient sparse space-time algorithms based on the original idea of SP are pr...