The role of organiza.on in tropical large- scale, convec.ve interac.ons
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1 The role of organiza.on in tropical large- scale, convec.ve interac.ons Emily M. Riley University of Miami RSMAS CMMAP Mee9ng January 213 Advisor: Brian Mapes, Collaborators: Stefan Tulich and Zhuming Kuang
2 Goal To bemer understand the role convec9ve organiza9on plays in coupling convec9on and the larger- scale Approach Use CSRM in a wave equa9on test harness to measure convec.on + large- scale interac(on Manipulate CSRM to control organiza.on
3 Hypothesis For the coupled convec.ve, large- scale system, organized convec.on is more responsive than scaaered convec.on CRM with WTG approx. Prec (mm/day) 2D CRM 3D CRM SST Wang and Sobel 211
4 CSRM: System for Atmospheric Modeling (SAM) The nuts and bolts: Anelas9c equa9ons of mo9on Smagorinsky- type turbulence closure Prognos9c thermo. variables: liquid water sta9c energy, total non- precip. water, & total precip. water Bulk microphysics SAM provided by Marat Khairoutdinov
5 CSRM: System for Atmospheric Modeling The set up: Fixed SST: 29.5 C (SAM) Periodic boundary condi9ons 2 km horizontal grid spacing 64 ver9cal levels (top = 32 km) Prescribed radia9on profile and surface wind speed in flux formula Background ver9cal velocity profile acts only on background temperature and moisture profile, so constant forcing of the CSRM
6 SAM with parameterized large- scale dynamics λ= 5, km (arbitrary) CSRM x x = x T v (density) CSRM Large Scale 2D Linear Gravity advection of T and q by LS w Wave Equations domain avg. T v LS w (Kuang 28)
7 More or less organized convec.on via altering domain geometry, size, or adding shear
8 Snapshots 1 of min avg. rainfall km
9 128 km x 128 km + shear
10 256 km x 64 km
11 512 km x 32km
12 Altering organiza.on with shear Domain Averaged Sfc. Prec. (mm/day) prec (mm/day) km x 128 x 128 km km time (days)
13 Altering organiza.on with shear Domain Averaged Sfc. Prec. (mm/day) prec (mm/day) km x 128 x 128 km km time (days) 3 2 P (hp) 128 km x 128 km + shear ms - 1 Wind speed
14 Altering organiza.on with shear Domain Averaged Sfc. Prec. (mm/day) prec (mm/day) km x 128 x 128 km km time (days) 3 2 P (hp) P (hp) 128 km x 128 km + shear ms - 1 Wind speed 1 ms - 1 Wind speed
15 Altering organiza.on with shear Domain Averaged Sfc. Prec. (mm/day) prec (mm/day) km x 128 x 128 km km time (days) P (hp) km x 128 km + shear km x 128 km + jet shear ms - 1 Wind speed
16 Domain Averaged Sfc. Prec. (mm/day) Altering organiza.on by changing domain shape c ( / ) km x 128 km 128 x 128 km time (days)
17 Domain Averaged Sfc. Prec. (mm/day) Altering organiza.on by changing domain shape c ( / ) x 128 km time (days) km x 128 km 256 km x 64 km
18 Domain Averaged Sfc. Prec. (mm/day) Altering organiza.on by changing domain shape c ( / ) x 128 km time (days) km x 128 km 256 km x 64 km km x 32 km
19 Domain Averaged Sfc. Prec. (mm/day) Altering organiza.on by changing domain shape c ( / ) x 128 km time (days) km x 128 km 256 km x 64 km 512 km x 32 km km x 16 km
20 Domain Averaged Sfc. Prec. (mm/day) c ( / ) x 128 km time (days) km x 128 km 256 km x 64 km 512 km x 32 km km x 16 km
21 c ( / ) x 128 km time (days) Ver.cal Structure: 128 km x 128 km 256 km x 64 km Anomalous T (K) 1 z (km) z (km) km x 32 km Anomalous q (g/kg) g/kg K
22 c ( / ) km x 128 km 128 x 128 km time (days) Ver.cal Structure: 512 km x 16 km Anomalous T (K) 1 z (km) z (km) 2 14 Anomalous q (g/kg) g/kg K Can we understand this behavior?
23 Differences in Domain Soundings: Comparing the average over the last 5 days of a 1 day no coupled run in indicated domain set- up to 128 km x 128 km no coupled average. Longer, narrower domains drier, yet more unstable (in ver9cally averaged sense) Jet shear drier, more stable So what happens if you feed different domain set- ups the same T, q reference profile?
24 128 km x 128 km T, q- profile as T ref, q ref prec (mm/hr) km x 128 km time (days)
25 128 km x 128 km T, q- profile as T ref, q ref prec (mm/hr) km x 128 km 128 km x 128 km uni-shear time (days)
26 128 km x 128 km T, q- profile as T ref, q ref prec (mm/hr) km x 128 km 128 km x 128 km uni-shear 128 km x 128 km jet-shear time (days)
27 128 km x 128 km T, q- profile as T ref, q ref prec (mm/hr) km x 128 km 128 km x 128 km uni-shear 128 km x 128 km jet-shear 256 km x 64 km time (days)
28 128 km x 128 km T, q- profile as T ref, q ref prec (mm/hr) km x 128 km 128 km x 128 km uni-shear 128 km x 128 km jet-shear 256 km x 64 km 512 km x 32 km time (days)
29 128 km x 128 km T, q- profile as T ref, q ref 128 km x 128 km T, q profile used as reference profile prec (mm/hr) km x 128 km 128 km x 128 km uni-shear 128 km x 128 km jet-shear 256 km x 64 km 512 km x 32 km 768 km x 24 km time (days)
30 128 km x 128 km T, q- profile as T ref, q ref 3 prec (mm/hr) km x 128 km 128 km x 128 km uni-shear 128 km x 128 km jet-shear 256 km x 64 km 512 km x 32 km 768 km x 24 km 124 km x 16 km time (days) 124 km x 16 km
31 Ques9on: Why don t shear cases behave same way? Future work Specify temperature and moisture profiles separately in different domain set- ups Test domain set- ups in super- param set up
32 Summary, Conclusion Goal: Understand organiza9on in coupled convec9ve, LS system Approach: Used CSRM with parameterized large- scale dynamics Controlled organiza9on via shear and altering domain shape and size. Coupled convec9ve parameterized LS system: more responsive with shear has exo9c states in long, narrow domains Stretched domains have drier, more unstable mean state feed stretched domain own T, q profiles exo9c states feed stretched domain moister, more stable sounding precip oscillates around higher rain rate
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