cloud ceiling analysis in the rtma
DESCRIPTION
Cloud ceiling analysis in the RTMA. Yanqiu Zhu 1 , Geoff DiMego 2 , John Derber 2 , Manuel Pondeca 1 ,Jim Purser 1 ,Geoffrey Manikin 2 1 IMSG and NOAA/NCEP/EMC, 2 NOAA/NCEP/EMC Camp Springs, Maryland, USA. Real-Time Mesoscale Analysis (RTMA). - PowerPoint PPT PresentationTRANSCRIPT
Cloud ceiling analysis in the RTMA
Yanqiu Zhu1, Geoff DiMego2, John Derber2,Manuel Pondeca1,Jim Purser1,Geoffrey Manikin2
1 IMSG and NOAA/NCEP/EMC, 2 NOAA/NCEP/EMC Camp Springs, Maryland, USA
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Real-Time Mesoscale Analysis (RTMA)
• Gridded Statistical Interpolation (GSI) 2DVAR analysis• Current analysis variables: surface pressure, 10m
wind, 2m temperature and moisture, wind gust, visibility
• Background fields generated by downscaling of RAP 1h forecasts
• Terrain-following anisotropic background error covariance
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New control variable: Cloud ceiling -- the lowest cloud base height where the total cloud cover exceeds 50%
Possible analysis approaches:
• 1: analyze cloud ceiling directly as a 2D variable • 2: diagnose the ceiling field from the analyses of total
cloud cover and lowest cloud base height
The cloud ceiling is created by masking out those points in the lowest cloud base height field where the analyzed total cloud cover is less than 50%
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Cloud observations used for the analyses of total cloud cover and lowest cloud base heightDirect Obs: • total cloud cover (TOCC) • height of base of lowest cloud seen (HBLCS) and cloud ceiling (VSSO)
Quasi-obs derived from • cloud amount (CLAM) Ftotal = 1-(1-f1)(1-f2)…(1-fn) where fi is different layer cloud amount• cloud base height (HOCB)• present weather (PRWE)
Data Types:• 180 SFCSHP – Surface marine• 181 ADPSFC – Surface land (Synoptic, METAR) with reported station
pressure• 183 ADPSFC, SFCSHP – with missing station pressure• 187 ADPSFC – Surface land (METAR) with missing station pressure• GOES cloud retrieval product
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Data quality control• Standard duplicate and missing data check and gross check• Different qcmark indicators are specified for direct obs and
quasi_obs• Quality control is also performed using the combination of all
of the data info for cloud amount and cloud height, excluding obs with conflicting info (qcmark=15)
QC\Type Type 180 Type 181 Type 183 Type187
Qcmark=0 5 331 2 1
Qcmark=1 2 1 0 4
Qcmark=3 0 0 1 3589
An example: Total cloud cover obs number at 00Z March 9, 2012
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OBSTotal cloud cover data : 00Z March 9, 2012
IQC
Current StatusTotal cloud cover analysis: • codes are ready for a month-long run for the preparation
of fine-tuning
Lowest cloud base height (lcbas) analysis:• The variable lcbas is tested as the analysis variable• log10(lcbas) is tested as the analysis variable• The effect of variable correlation length is examined
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Total Cloud Cover
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Lowest Cloud Base Height CV(LOGlcbas)
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Variable Correlation Length (Hayden and Purser, 1995)
•
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Analysis Increment of Lowest Cloud Base Height
Analysis variable: log10(lcbas)
Analysis incr. fields are very similar
Convergence of minimization is slightly better with log10(lcbas)
Analysis variable: lcbas
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Cloud Ceiling Analysis
First guess Analysis
Analysis variable: Log10(lcbas), Roption=.true.12
Conclusions and future work
• The total cloud cover and the lowest cloud base height are the latest two new analysis variables tested in the RTMA in an effort to provide cloud ceiling analysis along with visibility analysis.
• Investigation was performed on the choice of the analysis variable for the lowest cloud base height, and the impact of the variable correlation length was also examined.
• A month-long run will be conducted to tune the parameters for the analyses, such as the terrain tied features and land/water interface.
• Consistency between the total cloud amount and the lowest cloud base height will be examined.
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Additional slide
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Lowest Cloud Base Height CV(lcbas)
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