PPT-Capturing convection’s sensitivities in a plume scheme

Author : lindy-dunigan | Published Date : 2016-04-06

Brian Mapes RSMAS University of Miami Harvard Oct 17 2009 personal historical moment Two very old ideas fiiinally coming to fruition 1995 study convection sensitivities

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Capturing convection’s sensitivities in a plume scheme: Transcript

Brian Mapes RSMAS University of Miami Harvard Oct 17 2009 personal historical moment Two very old ideas fiiinally coming to fruition 1995 study convection sensitivities inhibition vs bulk instability CAPE controls. David M. Romps. Workshop on Large-Scale Circulations. in Moist Convecting Atmospheres. October. 17, 2009. The bulk. -plume equations. , when used to diagnose large-eddy simulations, underestimate convective entrainment.. Brian Mapes, U of Miami. with. Baohua Chen (UM). Richard Neale (NCAR). Emily Riley (UM). Organ-ization. From Greek organon. about . instrumentality . or . working order. "Organized" convection. (weak) Something is making it patterned . Mold Assessments & Testing. Indoor Air Quality Testing. Chemical & Allergen Sampling. Asbestos Testing. Fire/Smoke Screening. Radon (not real estate). www.eimidwest.com. (847) 293-7554. Occupant Air Quality Concerns. GCM. convective tendencies . participate in large scale phenomena . better. Brian . Mapes. , University of Miami. trying to be CAM-useful. with much help from. Rich Neale, . Sungsu. Park, Chris . Bretherton. convection scheme . in . the 5km resolution . operational system. Kengo. . Matsubayashi. . Numerical Prediction Division, . Japan . Meteorological Agency. with . Tabito. Hara, . Kohei. . Aranami. convective organization. Brian . Mapes. , University of Miami. Richard Neale, . NCAR. What is organization?. Deviations from . random parcel/ uniform environment/ no history . assumptions embodied in a . Wang, C.-C., and D. J. . Kirshbaum. , . 2015. : Thermally forced convection over a mountainous tropical island. . J. . Atmos. Sci.. , 72, 2484–2506.. Outline. Observations. Control simulations. Sensitivity tests. equation . Lecture 05. Navier. -Stokes . equation. •. . This. . is. . the. . actual. . form. . of. . the. . conservation. . equations. . solved. . by. . finite. . volume. . based. Policy Analysis . Regional Planning . Supplementary Control Systems / Air Quality Prediction System . Emergency Preparedness / Accidental Releases . Long Range Transport (Acid Rain) . State Implementation Plan Revisions / New Source Review . Mold Assessments & Testing. Indoor Air Quality Testing. Chemical & Allergen Sampling. Asbestos Testing. Fire/Smoke Screening. Radon (not real estate). www.eimidwest.com. (847) 293-7554. Occupant Air Quality Concerns. EMC/NCEP/NWS/NOAA. Young C. Kwon, V. Tallapragada, R. Tuleya, Q. Liu, K. Yeh*, S. Gopal*, Z. Zhang, S. Trahan and J. O’connor . *: HRD/AOML. Use WRF-NMM3.2 . dynamic core. . Upgrade the . vortex initialization. . Overview of Model: Convection. . The convection scheme of . Emanuel and . Živkovic. -Rothman. . (1999) . uses a buoyancy sorting algorithm . and . represents an entire spectrum of convective clouds, from shallow, non-precipitating cumulus to deep precipitating cumulonimbus. Precipitation re-evaporates and drives an unsaturated downdraft that imports enthalpy and moisture into the subcloud layer. Re-evaporation of cloud water, resulting from entrainment of dry air, drives penetrative downdrafts within the clouds. The cloud base mass flux is continuously relaxed so as to produce near neutrality of a parcel lifted dry adiabatically, and then moist adiabatically, to the first level above its lifted condensation level. This maintains a form of boundary layer . cyclone intensity . change. : Irma (2017). Michael C. Morgan and . Zhaoxiangrui. He. University of Wisconsin - Madison. Motivation. Three key questions regarding TC intensity:. What is the maximum intensity a TC may achieve in a given environment? . ?. The improved spatial, temporal and spectral attributes of the ABI allow for monitors plumes associated with rockets and other hotspots. . Instead of needing to show 3 or 4-panels with separate spectral bands, these RGBs combine information on the plumes from several key spectral bands: 3.9 micrometer or the “fire band”, the upper-level water vapor band (8), and a visible or “near-visible” band. ABI band 2 is used during the day, while the 7.3 micrometer (water vapor) band at night. .

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