Background on Satellite Cloud Products
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Transcript of Background on Satellite Cloud Products
4th JCSDA Science Workshop, 31 May – 1 June 2006
Broadband Satellite-Like (Infrared) Cloud Products from NCEP Models and Preliminary Cloud Verification
B. Ferrier1,2, H.-Y. Chuang1,2, E. Rogers1, B. Zhou1,2, J. McQueen1, and G. DiMego1
1NOAA/NWS/NCEP/EMC2SAIC/GSO
Thanks also to P. Manousos (NWS/NCEP/HPC),K. Campana1, M. Hart1,2, and J. Hanna (NESDIS)
4th JCSDA Science Workshop, 31 May – 1 June 2006
Background on Satellite Cloud Products Project motivation
Interest in forecast satellite look-a-like clouds by Hydrologic Prediction Center (HPC) and NWS Eastern Region
Such products already produced by CMC & U. Wisconsin
2 simple infrared (IR) algorithms in WRF Nonhydrostatic Mesoscale Model (WRF NMM – to replace Eta on June 13)
Brightness temperature (Tb) from TOA outgoing longwave fluxes (= *Tb
4, =1, =5.67·10-8 W m-2 K-1 ; Stefan-Boltzman Law) WRF NMM, NAM use GFDL LW radiation (’85, ’91), modified by
Global Branch (Hou et al.)
NCAR algorithm (Stoelinga) – starting from TOA find air temperature at cloud optical depth of = 1 (using cloud emissivities in model)
4th JCSDA Science Workshop, 31 May – 1 June 2006
Forecasts (left) & obs (right) @ 00Z 30 May 2006
24-h WRF NMM forecasts• TOA total IR (top, left):
colder Tb’s (atmos abs/emis)• NCAR algorithm (bot, left):
warmer Tb’s
0015 UTC
4th JCSDA Science Workshop, 31 May – 1 June 2006
Forecasts (left) & obs (right) @ 00Z 30 May 2006
12-h WRF NMM forecasts• TOA total IR (top, left):
colder Tb’s (atmos abs/emis)• NCAR algorithm (bot, left):
warmer Tb’s
0015 UTC
4th JCSDA Science Workshop, 31 May – 1 June 2006
Forecasts (left) & obs (right) @ 12Z 29 May 2006
24-h WRF NMM forecasts• TOA total IR (top, left):
colder Tb’s (atmos abs/emis)• NCAR algorithm (bot, left):
warmer Tb’s
1215 UTC
4th JCSDA Science Workshop, 31 May – 1 June 2006
Forecasts (left) & obs (right) @ 12Z 29 May 2006
12-h WRF NMM forecasts• TOA total IR (top, left):
colder Tb’s (atmos abs/emis)• NCAR algorithm (bot, left):
warmer Tb’s
1215 UTC
4th JCSDA Science Workshop, 31 May – 1 June 2006
Final Remarks on Cloud Products
TOA IR and NCAR IR cloud-top will be available in 32-km grid 221 files (next slide)
Can be viewed from our parallel WRF NMM runs (“NAMX”, “NAMY”) from the past week athttp://wwwt.emc.ncep.noaa.gov/mmb/mmbpll/nampll12_fullcyc_2mbtop/
Jump link “TOA Brightness Temperatures” (left frame) More improvements needed before use in operations
at HPC and WFOs More accurate narrowband calculations Use CRTM in our unified (regional, global) post
processing for multiple frequencies (e.g. water vapor) JCSDA funding would accelerate pace of effort
4th JCSDA Science Workshop, 31 May – 1 June 2006
32-km Grid 221 vs. full NAM domain (Eta-12)
4th JCSDA Science Workshop, 31 May – 1 June 2006
Preliminary Cloud Verification
Objective verification using NCEP’s Forecast Verification SSystem (FVS)
Typical verification uses values of model grid points at observation points (“grid-to-obs” verification)
Expanded to verify model grids using analysis grids (“grid-to-grid” verification) AFWA total cloud cover product Clouds from AVHRR (CLAVR) total cloud cover Validation over 12-km grid 218 (next slide)
Focus mostly on operational NAM (Eta), but also show preliminary results from WRF NMM
4th JCSDA Science Workshop, 31 May – 1 June 2006
12-km Grid 218 vs. full NAM domain (Eta-12)
Verification
4th JCSDA Science Workshop, 31 May – 1 June 2006
12Z NAM (Ops Eta) vs. AFWA, CLAVR1200 UTC 23 March – 1200 UTC 15 May 2006
RM
SE
(%
)
CLAVR
AFWA
0 6 12 18 24 30 36 42 48 54 60 66 72 78 84
12 18 00 06 12 18 00 06 12 18 00 06 12 18 00Time (UTC)
Forecast Hour
Bia
s (%
)
12 18 00 06 12 18 00 06 12 18 00 06 12 18 00Time (UTC)
Forecast Hour 0 6 12 18 24 30 36 42 48 54 60 66 72 78 84
• Smallest NAM biases at midday (18Z), largest in early morning• Closer agreement (smaller errors) with CLAVR
4th JCSDA Science Workshop, 31 May – 1 June 2006
Time Series of 48-h NAM and WRF NMM Cloud Forecasts
1200 UTC 23 March – 1200 UTC 15 May 2006
RM
SE
(%
)
Missing WRF NMM Runs
March April May
Bia
s (%
)
NAM - AFWA
NAM - CLAVR
WRF NMM - AFWA
WRF NMM - CLAVR
March April May
• Both models agree more closely with CLAVR• Both models have a high bias in total cloudiness• WRF NMM has a higher cloud bias than NAM (low clouds?)
4th JCSDA Science Workshop, 31 May – 1 June 2006
Model Biases as Functions of Cloud Fraction
Threshold Cloud Fraction (%)
Are
a B
ias
(Mod
el /
An
alys
is)
23 March - 15 May 2006
Forecast-Hit-Observation (FHO) stats(48-h forecasts valid at 12Z)
FC
ST
OB
SH
IT
• Almost 50% high bias in overcast conditions• Dominated by low clouds (esp over oceans; not shown)
NAM - AFWA
NAM - CLAVR
WRF NMM - AFWA
WRF NMM - CLAVR
4th JCSDA Science Workshop, 31 May – 1 June 2006
Final Remarks on Cloud Verification
Models tend to predict too much cloudiness compared to AFWA, CLAVR analyses Better agreement during midday, worse
agreement during early morning hours Models compare more favorably to CLAVR Slightly higher bias in WRF NMM cloudiness
compared to NAM-Eta (esp. for AFWA at 12Z, less so for CLAVR)
Largest over prediction in overcast conditions JCSDA funding would also accelerate pace and
scope of development to include more models and “verifying” analyses (next slide as an example)
4th JCSDA Science Workshop, 31 May – 1 June 2006
18-h FCST vs. GOES Retrieved (SW↓)sfc
• Useful for quick sanity checks of forecast incoming surface solar• Thanks to Istvan Laszlo (NESDIS) for providing 18Z images online, and to K. Mitchell, D. Tarpley
Op
s E
taW
RF
NM
M