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-integral to VOCALS objectives -we want to do the best we can:
* marine stratus over ocean is the idealization many retrievals of warm cloud properties are based on
* VOCALS an opportunity to both nail down retrievals & use “retrieval-breakdowns” to better understand cloud/aerosol/precip behavior
* unique characteristic/opportunity for VOCALS
Remote sensing of south east Pacific stratus
Paquita Zuidema, RSMAS/U of Miami
Reading, Sept. ,2008
Topics:1. Liquid water paths2. Drizzle3. Satellite-shipboard comparisons (if interest)
Used cloud volume extinction coefficients constructed from cloud radar+microwave as input into SHDOM
6 ~month-long cruises to the southeast Pacific since 2001
epic
includes a week at 20S, 85W each cruise
TMI SST
Shipboard instruments :
•ceilometer (CT-25K)•Surface radiative & turbulent fluxes•Cloud radar•Wind profiler (if Ron Brown)•Lasair-II aerosol counter (but not EPIC)•Rawindsondes•Microwave Radiometer(s)
c
re
Nd
Factor of -1in slope,as expectedfrom theory
110 < LWP <121 g m-2
121 < LWP <133 g m-2
133 < LWP <146 g m-2
Pt Reyes, CAARM data
NCCN Aerosol scattering Aerosol index
McComiskey and Feingold 2007
LWPs useful for quantifying aerosol indirect effects
PMS Lasair-II particle countercompares well to a TAMU DMA(but we haven’t been able to characterize the Twomey AIE)
More modern gaseous/liquidabsorption models producelower LWPs that comparebetter to adiabatic values
But they remain noisy….
Current NOAA radiometers have an approximateaccuracy of 30 g m-2 at 10-minute resolution
Zuidema et al. 2005
Okay for diurnal composite, statistical evaluations
adiabatic LWP
retrieved LWP
Local time
adiabatic LWP
retr
ieve
d LW
P
For aerosol-cloud-precip evaluations at the eddy scale & re retrievals, would prefer higher accuracy
For VOCALS-Rex:
Liquid water path measurements 1. C-130 Andrew Pazmany’s 183 GHz MWRupward-pointing (NSF)
2. Ron Brown: non-NOAA 2-channel MWR +ARM Radiometrics 183 GHz MWR(technically not supported, personalloan + ARM instrument request w/Dr. Maria Cadeddu)
183-GHz radiometer wing lines still sensitive toliquid water and not saturated by SEP water vapor
for an instrument noise level of 0.2 K @ 200 ms (Pazmany,2006), a LWP uncertainty of ~ 2 g m-2 all else - WVP - assumed constant
14
7 14
Using an EPIC sounding
Using epic soundings,
Physical retrieval + neural net both find10 g m-2 clear-sky LWP error for individual measurements,4 g m-2 bias relative to simulated LWPs
Excludes instrument calibration issues, but Radiometrics183 Ghz performed well in Barrow.
=> Have some confidence in ship-based measurements
C-130 will lack a 20 Ghz MWRwith which to separately retrievewater vapor, however.
183 Ghz wing line measurements not enough information forboth water vapor and liquid water path retrievals
What to do?
-assume water vapor field more homogeneous than LWP ?-use ship-based data to assess wvp variability?-even if LWPs not absolutely known, their variability can be?-can be bounded by adiabatically-determined LWPs?
Overflights of the Ron Brown by the C-130 valuablecomparison opportunities
In addition am hoping for one high-altitude climb by the C130 for a good cold-space-calibration brightness temperaturereading.
QuickTime™ and a decompressor
are needed to see this picture.
SEP region remarkably drizzly: what is the relationship toLWP, aerosol, mesoscale organization?
day night
Leon, Wang & Liu, 2008
Note that in SEP region much drizzle evaporates before reaching the surface,changing traditional views on the role of drizzle
A depth-dependent boundary lapse rate that accounts for boundary layer decouplingwas empirically deduced from radiosondes and applied to develop a MODIS cloudtop height estimate
modis
shipmodis
ship
Aerosol Cloud depth
current work: assess synoptic influence on cloud droplet number concentrationbuilds on Brenguier and collaborators type of ACE analysis
NOAA Lidar:
Epic radar+ lidar
Lidar could provide insight into mesoscale organization
Janet Intrieri
-integral to VOCALS objectives -we want to do the best we can:
* marine stratus over ocean is the idealization many retrievals of warm cloud properties are based on
* VOCALS an opportunity to both nail down retrievals & use “retrieval-breakdowns” to better understand cloud/aerosol/precip behavior
* unique characteristic/opportunity for VOCALS
Remote sensing of south east Pacific stratus
Paquita Zuidema, RSMAS/U of Miami
Reading, Sept. ,2008
Topics:1. Liquid water paths2. Drizzle3. Satellite-shipboard comparisons (if interest)