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Land Surface Fluxes in Coupled Land/Atmosphere Analysis Systems. Michael Bosilovich, NASA GSFC And Collaborators. Main Discussion Points. Surface Temperature Assimilation Coupled Analysis of Skin Temperature Validation: Station Obs, CEOP Fluxes MERRA
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Land Surface Fluxes in Coupled Land/Atmosphere Analysis Systems Michael Bosilovich, NASA GSFC And Collaborators
Main Discussion Points • Surface Temperature Assimilation • Coupled Analysis of Skin Temperature • Validation: Station Obs, CEOP Fluxes • MERRA • Surface data products, usefulness for LandFlux • Multi-Model Analysis for CEOP (MAC) • 7 operational analyses or reanalyses • Goal: uncertainty in the physical processes LandFlux Workshop, May 2007
Ts in Coupled Analysis • Motivation: • surface skin temperature (Ts) is a critical state because it reflects the surface radiative properties and energy budget and can dictate convective initiation. • Reliable Ts field from the operational GMAO DAS (Global Modeling and Assimilation Office Data Assimilation System) is a key requirement from scientific instrument team users. • Method: • NCAR Community Land Model (CLM) version 2 land-sfc model (Dai et al. 2002; Zeng et al. 2002; Bonan et al. 2002) and GEOS4 DAS (Bloom et al. 2005). • ISCCP 3 hourly, 30Km Skin Temperature • Ts analysis and coupled bias correction LandFlux Workshop, May 2007
Data Assimilation Method • PSAS–Analysis Increment (Cohn et al 1998) • Incremental Bias Correction – Dee and da Silva (1998) • IBC expanded to consider Diurnal Cycle • Include Incremental forcing at every time step Bosilovich et al. (2007, JMSJ) LandFlux Workshop, May 2007
2m Air Temp, Mean Bias July 2001 LandFlux Workshop, May 2007
2m Diurnal Temp Range July 2001 LandFlux Workshop, May 2007
LBA Fluxes: CEOP EOP1 CTL Rondonia EXP2 Rondonia CTL Manaus EXP2 Manaus LandFlux Workshop, May 2007
BALTEX Fluxes: CEOP EOP1 CTL Lindenberg EXP2 Lindenberg CTL Cabauw EXP2 Cabauw LandFlux Workshop, May 2007
Coupled Ts Analysis Summary • Including Skin T analysis (bias correction) improved air temperature, and in limited comparisons sensible heat flux • Several (possibly systematic) degradations in Latent Heating were noted • Needs diurnally resolved Ts, and likely multivariate analysis (soil moisture, cloud) • This method was tested in GEOS4, but does not directly carry over to GEOS5 LandFlux Workshop, May 2007
MERRA • Modern Era Retrospective-analysis for Research and Applications • GEOS5 – NSIPP GCM Physics, Semi-Lagrangian dynamical core, GSI analysis • Catchment Land surface model(Koster et al) • 1979-2008 (Possibly longer) • ½°×⅔° spatial resolution (72 vertical levels) • No Land Data Assimilation LandFlux Workshop, May 2007
Incremental Analysis Update • IAU reduces Spin Down/Up features, allowing hourly output (and analysis tendencies in output) LandFlux Workshop, May 2007
Atmospheric Water Budget • QIAU – Incremental Analysis Update of 3 Dimensional Water Vapor • Provides an estimate of error/uncertainty in the background modeling • Systematic component of QIAU can be related back to E, P (multiple regression, Schubert and Chang, 1996) LandFlux Workshop, May 2007
MERRA Surface Diagnostics • Two Dimensional data will be at 1 hourly frequencies • Surface Meteorology • Vertical Integrals • Radiation (sfc, TOA, clear sky, all sky) • Fluxes and transfer coefficients • Land data (not including lakes/coasts) • Lowest Model level forcing LandFlux Workshop, May 2007
SGP Elk Falls – JUL 2004 • GEOS5 Beta 9 Experiment • July 2004 LandFlux Workshop, May 2007
SGP Lamont - JUL2004 • Underestimate of LE at Lamont (central facility) LandFlux Workshop, May 2007
MODIS LST Day LandFlux Workshop, May 2007
MODIS LST Night LandFlux Workshop, May 2007
Station temperature comparison • 2Degree experiment • NCDC Summary of the Day • July 2001 LandFlux Workshop, May 2007
Global Precipitation LandFlux Workshop, May 2007
Dec 2005 03Z Dec 15-31 Average LandFlux Workshop, May 2007
Dec 2005 06Z LandFlux Workshop, May 2007
Dec 2005 09Z LandFlux Workshop, May 2007
Dec 2005 12Z LandFlux Workshop, May 2007
Dec 2005 15Z LandFlux Workshop, May 2007
Dec 2005 18Z LandFlux Workshop, May 2007
Dec 2005 21Z LandFlux Workshop, May 2007
Dec 2005 00Z LandFlux Workshop, May 2007
Dec 2005 03Z LandFlux Workshop, May 2007
GEOS5 Hourly Evaporation LandFlux Workshop, May 2007
Multi-Model Analysis for CEOP • Seven analysis data sets have been contributed to CEOP • NCEP, ECPC, CPTEC, MSC, UKMO, JMA, BMRC and GMAO • We will pull together like variables form all the systems into a superensemble with mean and variance • We want to define the range of uncertainty in the physical aspects of the analyses, e.g. surface fluxes and radiation LandFlux Workshop, May 2007
Ensemble Characteristics • CEOP EOP 3 and 4 (2003 and 2004) • Monthly averages to start, then daily and diurnal cycle • Regrid to 1.25°× 1.25° • For Monthly, provide the individual members contribution to the ensemble as well (might be too much at daily frequencies) LandFlux Workshop, May 2007
2D Surface Variables Also, H, Q, T, U, V at 850, 700, 500, 300 and 200 mb LandFlux Workshop, May 2007
Zonal Precipitation LandFlux Workshop, May 2007
Zonal Latent Heat LandFlux Workshop, May 2007
Bondville LH Time Series LandFlux Workshop, May 2007
Bondville SH Time Series LandFlux Workshop, May 2007
Precipitation Anomalies LandFlux Workshop, May 2007
Multi-model Analysis Summary • 7 data sets downloaded and being ensembled in version 1 (GMAO and BMRC near to providing data) • White paper describing the ensemble methods and decisions available for comment • Could provide a sense of the model variability in surface fluxes LandFlux Workshop, May 2007