assess observation impacts in the hybrid gsi-enkf data assimilation systems for ncep global forecast...
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Assess Observation Impacts in the Hybrid GSI-EnKF Data Assimilation Systems for NCEP Global Forecast System Model Through OSE and Ensemble Based Observation Impact Metric
Govindan Kutty M and Xuguang Wang
University of Oklahoma, Norman, OK, USA
EnKF workshop, May 22, 2012
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Introduction
Numerical weather prediction models, in various operational weather forecast centers assimilate millions of observations each day from satellite as well as in-situ platforms
The impact of observations in a data assimilation platform may be different for
Various satellite platforms
Different data assimilation system
The ways in which impacts are assessed
Hybrid GSI-EnKF DA for NCEP GFS has been developed (Wang et al. 2012). Studies have shown that the hybrid improved forecasts.
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Introduction
Wang et al., 2012
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Introduction
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Introduction
Various methods have been used to assess the impacts of observations
Observing system experiments (OSE, eg; Zapotocny et al., 2007 )
Adjoint method (eg; Galero et al., 2008)
Ensemble based methods (eg; Liu and Kalnay, 2008 )
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Experimental design
Test period : 15 December 2009 – 31 January 2010 Model: Global Forecast System (GFS) with resolution T190L64 Observations denied : AMSU, Rawinsonde Data Assimilation method:
GSI Hybrid GSI-EnKF
6 experiments for OSE GSI assimilating all observations (gsi) GSI denied Rawinsonde (gsi noraob) GSI denied AMSU (gsi noamsu) Hybrid assimilating all observations (hybrid) Hybrid denied Rawinsonde (hybrid noraob) Hybrid denied AMSU (hybrid noamsu)
Ensemble based observation impact estimate (Liu and Kalnay, 2008, Kalnay, 2011)
Estimate of rawinsonde temp. impact for temperature and wind forecast 6
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RMSE of global forecasts w.r.t ECMWF analysis
72hr wind 72hr temperature 72hr specific humidity
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RMSE of global forecasts w.r.t conventional observations
24hr wind 24hr temperature
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Zonally averaged impact (wind RMSE diff.) – 72hr
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Zonally averaged impact (temp RMSE diff.) – 72hr
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Zonally averaged Impact (Sp.hum. RMSE diff.) -72 hr
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Anomaly correlation for geopotential height (GSI)
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Anomaly correlation for geopotential height (Hybrid)
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Relative impact for geopotential height (500hPa)
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Ensemble based impact estimate for Hybrid system
1000hPa
925hPa
850hPa
700hPa
500hPa
300hPa
250hPa
200hPa
global
-0.0035 -0.0030 -0.0025 -0.0020 -0.0015 -0.0010 -0.0005 0.0000
estimate actual
error reduction / gridpoint (K2)
1000hPa
925hPa
850hPa
700hPa
500hPa
300hPa
250hPa
200hPa
global
-0.008 -0.006 -0.004 -0.002 0.000
estimate actual
error reduction /grid point (ms-1)2
Rawinsonde temp. impact for 24 hour temp. forecast
Rawinsonde temp. impact for 24 hour wind forecast
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Ensemble based impact for Hybrid system - 5 day forecast (Adaptive localization)
0 2 4 6 8 10 12
Adaptive localisation Significance test actual
error reduction (K2)16
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Summary and ongoing work
OSE
Forecast by Hybrid is better than GSI in both control and data denial experiments Magnitude and distribution of observation impact may depend on observation and
data assimilation methods The relative impact between the AMSU and Rawinsonde may vary for different data
assimilation and verification methods
Ensemble based observation impact for hybrid Initial result and adaptive localization tests are promising.
Ongoing work Extend OSE using hybrid DA (including ensemble-4DVAR) for other data sets in the
NCEP operational system Tests of other adaptive localization methods for ensemble based observation impact
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Back up
18(Kelly et al., 2007)