Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes.

Slides:



Advertisements
Similar presentations
Moisture, Clouds, and Precipitation
Advertisements

Chapter 7 Precipitation Processes Chapter 7 Precipitation Processes.
Precipitation I. RECAP Moisture in the air (different types of humidity). Condensation and evaporation in the air (dew point). Stability of the atmosphere:
Precipitation Chapter 7
To perform statistical analyses of observations from dropsondes, microphysical imaging probes, and coordinated NOAA P-3 and NASA ER-2 Doppler radars To.
Weismann (1992) Weisman, M. L., 1992: The role of convectively generated rear- inflow jets in the evolution of long-lived mesoconvective systems. J. Atmos.
Part 2. Water in the Atmosphere Chapter 7 Precipitation Processes.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology The Effect of Turbulence on Cloud Microstructure,
1 Radar Displays PPI - Plan position Indicator Maps the received signals on polar coordinates in plan view. The antenna scans 360° at fixed elevation angle.
Section 3.5, 3.5a, 3.5b Overview For Storm-generated Mesoscale processes 1.Local Effects 2.Advective Effects.
Aerosol effects on rain and hail formation and their representation using polarimetric radar signatures Eyal Ilotovich, Nir Benmoshe and Alexander Khain.
ON THE RESPONSE OF HAILSTORMS TO ENHANCED CCN CONCENTRATIONS William R. Cotton Department of Atmospheric Science, Colorado State University.
Chapter 7 – Precipitation Processes
Climate model grid meshes are too coarse to explicitly simulate storm system winds and therefore must rely on simplified models referred to as parameterizations.
Impact of Graupel Parameterization Schemes on Idealized Bow Echo Simulations Rebecca D. Adams-Selin Adams-Selin, R. D., S. C. van den Heever, and R. D.
Precipitation.
Water’s Changes of State 15 Water in the Atmosphere  Precipitation is any form of water that falls from a cloud.  When it comes to understanding atmospheric.
Microphysics complexity in squall line simulations. As high-resolution climate models increasingly turn towards an explicit representation of convection,
In this work we present results of cloud electrification obtained with the RAMS model that includes the process of charge separation between ice particles.
Moisture, Clouds, and Precipitation. Water in the Atmosphere  Precipitation is any form of water that falls from a cloud.  When it comes to understanding.
Microphysical Considerations in Remote Sensing of Precipitation Daniel Rosenfeld, Hebrew University of Jerusalem, Israel and Vincenzo Levizzani, ISAC-CNR,
Momentum Budget of a Squall Line with Trailing Stratiform Precipitation: Calculation with a High-Resolution Numerical Model. Yang, M.-J., and R. A. Houze.
DYMECS: Dynamical and Microphysical Evolution of Convective Storms (NERC Standard Grant) University of Reading: Robin Hogan, Bob Plant, Thorwald Stein,
Severe Convection and Mesoscale Convective Systems R. A. Houze Lecture, Indian Institute of Tropical Meteorology, Pune, 5 August 2010.
Comparison of Evaporation and Cold Pool Development between Single- Moment (SM) and Multi-moment (MM) Bulk Microphysics Schemes In Idealized Simulations.
Water in the Atmosphere
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998).
Moisture in the Atmosphere
Prentice Hall EARTH SCIENCE
WMO International Cloud Modeling Workshop
Dual-Aircraft Investigation of the inner Core of Hurricane Norbert. Part Ⅲ : Water Budget Gamache, J. F., R. A. Houze, Jr., and F. D. Marks, Jr., 1993:
Edward Mansell National Severe Storms Laboratory Donald MacGorman and Conrad Ziegler National Severe Storms Laboratory, Norman, OK Funding sources in the.
Sensitivity of Squall-Line Rear Inflow to Ice Microphysics and Environmental Humidity Ming-Jen Yang and Robert A. House Jr. Mon. Wea. Rev., 123,
Moisture, Clouds and Precipitation Chapter 18. H 2 O exists in atmosphere in all three states of matter…
High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget SCOTT A. BRAUN J. Atmos. Sci., 63,
ThermodynamicsM. D. Eastin Atmospheric Vertical Structure & Thunderstorms Forecast Question: Will a severe thunderstorm develop today? Or not? Having a.
Photo: Pamela R. Cox 2013 Elizabethtown, Kentucky.
Orographic Precipitation in Potentially Unstable Alpine Storms: MAP IOPs 2b, 3, and 5 Socorro Medina and Robert A. Houze.
Analysis of High-Resolution WRF Simulations During A Severe Weather Event Jason A. Otkin* Cooperative Institute for Meteorological Satellite Studies, University.
Background – Building their Case “continental” – polluted, aerosol laden “maritime” – clean, pristine Polluted concentrations are 1-2 orders of magnitude.
15 Chapter 15 Moisture, Clouds, and Precipitation.
Franklin, C. N., G. J. Holland, and P. T. May, 2005: Sensitivity of tropical cyclone rainbands to ice-phase microphysics. Mon. Wea. Rev., 133,
MOISTURE IN THE ATMOSPHERE Advanced Earth Science.
1 Detailed Microphysical Model Simulations of Freezing Drizzle Formation Istvan Geresdi Roy Rasmussen University of Pecs, Hungary NCAR Research funded.
Part II: Implementation of a New Snow Parameterization EXPLICIT FORECASTS OF WINTER PRECIPITATION USING AN IMPROVED BULK MICROPHYSICS SCHEME Thompson G.,
B3. Microphysical Processes
Clouds (Condensed PPT)
Diagnosing latent heating rates from model and in-situ microphysics data: Some (very) early results Chris Dearden University of Manchester DIAMET Project.
EASC 11 Clouds and Precipitation
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other.
Virtual temperature AMS glossary: ( virtual temperature—(Also called density.
Hugh Morrison & Jason A. Milbrandt JAS (2015), p
Yumin Moon & David S. Nolan (2014)
By SANDRA E. YUTER and ROBERT A. HOUZE JR
GEORGE H. BRYAN AND HUGH MORRISON
Water Budget of Typhoon Nari(2001)
Sensitivity of WRF microphysics to aerosol concentration
Bodine, D. J., and K. L. Rasmussen, 2017
Tong Zhu and Da-Lin Zhang 2006:J. Atmos. Sci.,63,
Tong Zhu and Da-Lin Zhang
Review of Roesenfeld et al
Ming-Jen Yang and Robert A. House Jr. Mon. Wea. Rev., 123,
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Sensitivity of idealized squall-line simulations to the level of complexity used in two-moment bulk microphysics schemes. Speaker: Huan Chen Professor:
Scott A. Braun, 2002: Mon. Wea. Rev.,130,
Kurowski, M .J., K. Suselj, W. W. Grabowski, and J. Teixeira, 2018
Sensitivity of Squall-Line Rear Inflow to Ice Microphysics and Environmental Humidity Yang, M.-J., and R.A. Houze, Jr.
Braun, S. A., 2006: High-Resolution Simulation of Hurricane Bonnie (1998). Part II: Water Budget. J. Atmos. Sci., 63, Gamache, J. F., R. A. Houze.
Xu, H., and X. Li, 2017 J. Geophys. Res. Atmos., 122, 6004–6024
Precipitation hydrometeor type
Presentation transcript:

Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes Reporter: Prudence Chien Reference: Morrison, H., G. Thompson, V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes. Mon. Wea. Rev., 137, 991–1007.

Outline Keywords Motivation Experimental design Results Summary & conclusions

Keywords Squall line A line of active thunderstorms, either continuous or with breaks, including contiguous precipitation areas resulting from the existence of the thunderstorms. The squall line is a type of mesoscale convective system distinguished from other types by a larger length-to-width ratio. Conceptual model of a squall line

(Biggerstaff & Houze 1991) Collision Coalescence Aggregation Deposition Melting layer Evaporation

Keywords N 0 jump N 0r decreases rapidly during the transition from convective to widespread stratiform rain. Drop Size Distribution (DSD) N 0 : intercept Λ: slope μ: shape parameter D: particle diameter ( 吳子瑜 2008)

Keywords Two-moment scheme (double-moment scheme) – One-moment scheme (single-moment scheme) – Predicts mass mixing ratio(q) and number concentration(N) – 5 hydrometer species: cloud droplets, cloud ice, snow, rain, and graupel

Motivation In general, models cannot catch squall-line features very successfully, the transition zone and the trailing stratiform region in particular. Limitation: – Bulk schemes assume an underlying shape for the hydrometeor size distribution, and predict one or more bulk quantities of the distribution. – Bin microphysics schemes not feasible for most application. Compare the Impact of one- and two-moment scheme on the evolution of an idealized 2-D squall line.

Experimental design WRF V2.2 2D idealized squall-line case Horizontal domain: 600 km, Δx = 1000m Vertical domain: 20 km, Δz = 250m Simulated period: 7h, Δt =5s Environmental temperature and moisture profile: Weisman and Klemp (1982, 1984) Thermal bubble: θmax= 3K at 1.5km height Specified N 0r = 10 7 m -4 in 1-M

Results Storm Morphology Precipitation and Cold Pool Mesoscale Dynamics Convective Updrafts

2-M 1-M q x (thin solid line) Θ’ = -2K (thick solid line) Wind vector (arrows) Much narrower and weaker region of trailing stratiform precipitation in 1-M Radar reflectivities in 1-M are lower than 2-M in the stratiform region Large rain evaporation rate between the melting layer and the surface in the stratiform region in 1-M 1) Storm morphology CV SF CVSF

2-M1-M Surface rainfall rate 2-M : Larger rain rate in stratiform region Slightly smaller rain rate in convective region 2) Precipitation and the cold pool

Rain mixing ratioRain evaporation rate Larger rain evaporation rate in 1-M leads to smaller rain mixing ratio than 2-M below the melting layer. CVSF CVSF CVSF CVSF

2-M warmer than 1-M (shaded gray) Rain intercept parameter (N 0r )Difference in perturbation potential temperature Larger value of N 0r leads to larger evaporation rate. Largest values of N 0r occur in the convective region, and steadily decrease through the trailing stratiform region. The increased evaporation rate in the stratiform region leads to a broader and generally colder cold pool in 1-M than 2-M. CV SF CV SF

2-M > 1-M (shaded gray) Difference in vertical velocity Difference in buoyancy The mesoscale updraft at midlevels of the stratiform region is stronger in 2-M than 1-M. Main factor: (1)Latent heating rate (2)Rearward horizontal fluxes of condensate and buoyancy 3) Mesoscale dynamics CV SF CV SF

Latent heating rate due to vapor deposition growth of ice is greater in 2-M than 1-M in the stratiform region. Difference in latent heating rate CV SF

Ice mixing ratio CV SF CV SF

Difference in front-to-rear flux of buoyancy Difference in front-to-rear flux of condensate 2-M > 1-M (shaded gray) Much larger flux of buoyancy at midlevels from the convective to the stratiform region in 2-M than in 1-M. Much smaller amounts of ice condensate in the convective region in 2-M than 1-M. => Rearward flux of condensate from the convective region tends to be much smaller in 2-M than in 1-M. CVSFCVSF

Sensitivity simulation of evaporation rate Calculate rain evaporation rate by limiting N 0r ’s maximum=10 7 m -4 in convective region (2-M*) Rain evaporation are reduced in convective region, leading to reduced latent cooling and increased mean convective updraft intensity. 2-M > 2-M* (gray shaded) Difference in vertical velocity 4) Convective updrafts CV SF

Sensitivity simulation of evaporation rate 2-M > 2-M* (gray shaded) Difference in front-to-rear flux of buoyancy Difference in front-to-rear flux of condensate Reduced rearward flux of positively buoyant air to stratiform region Increased rearward flux of condensate CV SF

1-M sensitivity test Reduced rain evaporation rate Produce much more trailing stratiform precipitation The leading edge of convective precipitation is poorly defind. Cold pool is much weaker than in 2-M Smaller rearward buoyancy and condensate flux at midlevels into the stratiform region Reflectivities are weak above the melting layer compared to 2-M 1-M* ( N 0r =2*10 6 m -4 ) 1-M ( N 0r =10 7 m -4 ) 2-M CV SF

1-M sensitivity test 1-M* ( N 0r =2*10 8 m -4 ) Increased rain evaporation rate Very little surface rainfall in the stratiform region Increased rearward flux of positively buoyancy into the stratiform region Reflectivities are weak above the melting layer compared to 2-M 1-M ( N 0r =10 7 m -4 ) 2-M => The importance of capturing the variability of N 0r between the straitiform and convective region. Two-moment schemes allow a more rigorous treatment of N 0r CVSF

Summary & conclusion 2-M scheme produced a much more widespread and prominent region of stratiform precipitation, relative to 1- M scheme. Key factor: reduced rain evaporation rate in the stratiform region in 2-M – Larger mean raindrop size in 2-M than in 1-M in the stratiform region directly contributed to the larger radar reflectivity. Secondary factor: increased rain evaporation rates in the convective region at midlevels – Reduction in the intensity of the convective updrafts. – An increased flux of positively buoyant air at midlevels from the convective to stratiform region. – An increased intensity of the mesoscale updraft.

Difference in the rain evaporation rate between 1-M and 2-M were the result of differences in the rain size distribution parameters. – Larger N 0r in the convective region were associated with significant collision-coalescence; in contrast, rain in the stratiform region was primarily produced by melting of snow. – The variability of N 0r is consistent with surface disdrometer measurements. There are a sharp decrease in N 0r (N 0 jump) between convective and stratiform region.

Rain evaporation plays a key role in the development of the trailing stratiform region. Rain evaporation rate is sensitive to the number concentration in the 2-M scheme. A scheme with two-moments predicted for rain only was able to reproduce the stratiform region features using the full 2-M scheme.

Thanks for your attention. Questions?

Gamma function:

Rain evaporation rate

Positive vertical velocity (gray shaded) 2-M vertical velocity