Waves and multiscale processes in the tropics Brian Mapes AIM Palo Alto Dec 5 2010 Simplest full physics realiz: 2D CRM (40000km) No preferred hor. scale; -5/3 spectrum 5 decades } 3 decades Stefan Tulich (Mapes et al. 2009 JMSJ) Power and information • Usual 5/3 paradigm based on energetics – E conserved during local-in-scale interactions » dimensional analysis from there • But that’s um not the E budget here? – convective E source b’w’ active at all scales – most of energy lives in deepest mode – but 2nd mode signaling , tracer q’ sculpt b’w’ field • “Power” spectrum is only half of fft() • Other half: phase (~ information?) » back to physical space is only way to make sense of it? • Are we missing some whole other principle? Outline • Dull null hypotheses – & irreconcilable ambiguities » the essence of depressingly much of what we see? • My stuff – it’s what I have – Quantitative spectral & filtered obs of waves • Yasunaga and Mapes I & II, submission in next week or so – Convective events in a 5km mesh global model • CC waves on 250 km scales • Small-scale w: just a flux amplifier for large-scale w events? • Beyond powerpoint? – further issues on white board Dull/null hypotheses: how little might we know? • “In mathematics you don't understand things. You just get used to them.” Johann von Neumann US (Hungarian-born) computer scientist, mathematician (1903 - 1957) 1. Self similarity • Does it imply there is scale interaction? Or perhaps rather a lack of interactions? • Dull null: statistical condensation in partly cloudy skies acts the same for all large scale waves – independent of exactly what types of variability/intermittency/sub-waves make up “partly cloudy” 2. Modulation • Convection varies. That’s just what it does. • Dull null: The active phase of low frequency convection variations is a locus of enhanced high frequency variability of all sorts – no basis for postulating importance of “upscale” impacts, “interactions” among wave types, etc. – Yasunaga made a composite of HF filtered wave amplitudes by MJO phase: DULL; consistent w/ above. 3. Modulation: nonlinear? • LF modulation of HF waves: multiplicative & nonlinear? • Or is it just additive beating? – MATHEMATICALLY = » as in 0=0 Outline • Dull null hypotheses – & irreconcilable ambiguities » the essence of depressingly much of what we see? • My stuff – it’s what I have – New spectral & filtered composite obs – Yasunaga and Mapes, submission in next week or so – Convective events in a 5km mesh global model • CC waves on 250 km scales • Small scale w: just a flux amplifier for large scale w events? • Beyond powerpoint – discussion issues on white board Differences of wave types • Yasunaga & Mapes – 2 papers just submitting • Kazuaki did all the work • 1. Cross-spectra – divergence and PW (analyzed fields) • 2. Composites based on filtered TRMM 3B42 – convective & stratiform rain, cloud system size » very raw obs, not analyzed via models Coherence between rain and divergence •Coherence at the 1000hPa level has peaks in all modes. •Coherence at the 200hPa and 1000 hPa levels shows similar patterns. •Coherence at the 500hPa level is relatively weak in the ER, MRG, and TD regions, compared to that in the Kelvin, n=0 EIG, and n=1,2 Weak WIG wave regions. Symmetric Antisymmetric 200 hPa Strong 500 hPa 1000 hPa Wave Filtering Filtered Rain (Pmw) dPmw/dt Definition of phase and amplitude Developing Phase dPmw/dt Mature Phase Suppressed Phase decaying Phase Filtered rain (Pmw) Procedure to make a composite • • Every obs P(x,t) is repeatedly used for each wave. Enough samples will emphasize key features, eliminating incoherent structure. Unroll the sushi Convective Stratiform Linear fit to envelope wave signal (P per unit filtered-p amplitude) Wave modulation =(Max. Slope)-(min. slope) Slope of envelope curve fits comes with error bars Stratiform and conv rain fractions Stratiform rain is modulated especially much in fast or “Divergent” waves, and the MJO OK not strongest signal ever but consistent w/ Precipitation Feature Size Small Large XL Small : ~100 km^2 Medium: 100 km^2 - 1,000 km^2 Large : 1,000 km^2 - 10,000 km^2 XL : >10,000 km^2 Modulation of the precipitation features # by size category Rot Div Rot Div small Modulation relative to total rainfall: (num)/(mm/hr) medium large XL Summary Waves in the red region * Rain is highly correlated with mid-level divergence * Stratiform rainfall is modulated more * Smaller-sized echo objects modulated less Waves in the blue region Westward Why? Eastward * Rain only correlated with divergence near surface and upper troposphere * Modulation difference of convective and stratiform rainfall is not distinct. * Smaller-sized system number is modulated a lot. Controlling factor? Inhibition by T’ (Density) governs existence of large systems with a lot of stratiform rain process? Time Moist Dry Time Humidity governs cumulus cells since they must entrain their way through it? Composite of precipitable water Symmetric ER MJO Antisymmetric TD MRG • • • • Data: SSM/I, TMI, AMSRE JAN 1998 – DEC 2009 Amplitude and phase are based on the TRMM-3B42 data Min-to-max modulation: ERn1, TD, MJO, and MRG Background vapor modulation: Kelvin, WIGn1, EIGn0, and WIGn2 • Fuchs has similar results ? Pers. comm. Outline • Dull null hypotheses – unexciting & discouraging default expectations • that can explain depressingly much of what we see • My stuff – it’s what I have – New spectral & filtered composite obs – Yasunaga and Mapes, submission in next week or so – Convective events in a 5km mesh global model • CC waves on 250 km scales • Small scale w: just a flux amplifier for large scale w events? • Beyond powerpoint – discussion issues on white board 3D global simulations • GEOS-5 global AGCM at 5km mesh size » by Bill Putman, Max Suarez, others at NASA GSFC • 20-day run analyzed here • Cubed sphere grid, nonhydrostatic • GCM physics left on – mostly • subgridscale plumes hobbled by entrainment • disabled subgrid orographic gravity wave drag comparison to satellite imagery http://earthobservatory.nasa.gov/I OTD/view.php?id=44246&src= eoa-iotd predicted cloud features for February 6, 2010 2 weeks into simulation 5km GCM: detailed examinations • 1. Tropical rain events: case studies – One scale selected in to analysis: 250km events • Rebin rainrate to 2.5deg, find 10 largest maxima – in ~20 day simulation period (Jan-Feb 2010) – in 15N-15S • Extract space-time cubes around these events – (+/-18h, +/- 3 degrees) – 10 wettest cases, plus composite mean case • 2. Vertical flux [wq], partitioned by scale » through simple coarse-graining (rebinning) http://www.rsmas.miami.edu/personal/ssong/research/HR_250kmevents.htm Tropical cyclone: 1 case in top 10 (in 15N-15S belt, 250km scale) http://www.rsmas.miami.edu/personal/ssong/research/HR_250kmevents.htm • m 99% is from resolved condensation process: good composite basis HOURS RELATIVE TO MAX 250km RAIN T’(t,p): 250km area mean p (hPa) leading nose HOURS RELATIVE TO MAX 250km RAIN 250km water vapor mixing ratio (t,p) W Low-level “valve” on convection RH(t,p) p (hPa) W W HOURS RELATIVE TO MAX 250km RAIN 750 850 trimodal: shallow, medium, deep similar to obs (a bit off in exact heights) 750 850 Mapes et al. 2006 DAO Outline • Dull null hypotheses – unexciting & discouraging default expectations • that can explain depressingly much of what we see • My stuff – it’s what I have – New spectral & filtered composite obs – Yasunaga and Mapes, submission in next week or so – Convective events in a 5km mesh global model • CC waves on 250 km scales • Small scale w: just a flux amplifier for large scale w events? • Beyond powerpoint – discussion issues on white board 2. Enthalpy flux • Enthalpy = sensible heat + latent heat – CpT + Lqv • Flux thru 500mb level balances ~23 Wm-2 radiative cooling above that level – sensible heat flux Cp [wT] ~ 7 Wm-2 – latent heat flux L [wq]: ~ 16 Wm-2 • destined to condense up there Latent flux across 500mb snapshot by scales resolved in 80km rebinning sub-80km = total flux minus the above Latent flux snapshot by scales resolved in 250km rebinning sub-250km = total explicit flux minus above Latent flux snapshot by scales resolved in 500 km rebinning sub-500km = total explicit flux minus above sub-80km and super-80km scales conspire to carry wq flux: convection occurs in mesoscale clusters Flux partitoned by scales • Vapor flux by convective (5-80km) scales is colocated with flux in >80km scale mesoscale updrafts. • Small scales mainly just add a bit (10 - 40%) to the flux by mesoscale mean updrafts • Might this be true at still-finer scales? • Slides from Chin-Hoh Moeng (NCAR) • Marat Khairoutdinov (Stony Brook) ran “Giga-LES” • Moeng et al. 2009, 2010 JAMES Split the LES flow into: “resolvable” grid-scale (GS) & “unresolved” scale (SGS) Giga-LES apply “smoothing” CRM resolvable SGS is the difference. Moeng et al. 2010 JAMES Apply “smoothing” with a width of 4 km SGS(w-var) GS: CRM-grid scales SGS: CRM-SGS GS SGS(q-var) GS GS large scales SGS (wq-cov) most of w-kinetic energy in SGS ~ half of moisture flux in SGS small scales Moeng et al. 2010 JAMES • SGS flux Moeng et al. 2010- JAMES • SGS flux is in clouds • condensed water path (vertical integral) Moeng et al. 2009 JAMES Flux partitoned by scales • Vapor flux by convective (5-80km) scales is colocated with flux in >80km scale mesoscale cloud system updrafts. • Small scales mainly just add a bit (up to 40%) to the flux by mesoscale mean updrafts • Again at LES scale: • Small scales mainly just add a bit (~40%) to the flux by convective mean updrafts Flux summary • Mesoscale updrafts are moist, fluxing q up • in GCRM • Convective updrafts are inside, adding to it • in GCRM • Sub-drafts inside the convective drafts: ditto • in an LES (Moeng) Outline • Dull null hypotheses – unexciting & discouraging default expectations • that can explain depressingly much of what we see • My stuff – it’s what I have – New spectral & filtered composite obs – Yasunaga and Mapes, submission in next week or so – Convective events in a 5km mesh global model • CC waves on 250 km scales • Small scale w: just a flux amplifier for large scale w events? • Beyond powerpoint – discussion issues on white board