Examining Fresh Water Flux over Global Oceans in the NCEP GDAS, CDAS, CDAS2, GFS, and CFS P. Xie1), M. Chen1), J.E. Janowiak1), W. Wang1), C. Huang1), C.-L. Shie2), and L. Chiu3) 1) NOAA Climate Prediction Center 2) UMBC / NASA Goddard Space Flight - PowerPoint PPT Presentation

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Examining Fresh Water Flux over Global Oceans in the NCEP GDAS, CDAS, CDAS2, GFS, and CFS P. Xie1), M. Chen1), J.E. Janowiak1), W. Wang1), C. Huang1), C.-L. Shie2), and L. Chiu3) 1) NOAA Climate Prediction Center 2) UMBC / NASA Goddard Space Flight

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CDAS1 reproduced the magnitude of E and P very well ... Insufficient / excessive magnitude of inter-annual variations in precipitation ... – PowerPoint PPT presentation

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Title: Examining Fresh Water Flux over Global Oceans in the NCEP GDAS, CDAS, CDAS2, GFS, and CFS P. Xie1), M. Chen1), J.E. Janowiak1), W. Wang1), C. Huang1), C.-L. Shie2), and L. Chiu3) 1) NOAA Climate Prediction Center 2) UMBC / NASA Goddard Space Flight


1
Examining Fresh Water Flux over Global Oceansin
the NCEP GDAS, CDAS, CDAS2, GFS, and CFSP.
Xie1), M. Chen1), J.E. Janowiak1), W. Wang1), C.
Huang1), C.-L. Shie2), and L. Chiu3)1) NOAA
Climate Prediction Center2) UMBC / NASA Goddard
Space Flight Center3) GMU / NASA Goddard Space
Flight Center
2
Objective
  • To examine the oceanic precipitation and
    evaporation fields generated by NCEP reanalyses
    and climate model simulations through comparison
    with corresponding observations
  • Uncertainties in oceanic observations considered
    by using multiple data sources and taking into
    account the standard deviation among the
    different observations

3
Precipitation Observation Data
  • Three sets of observation data sets used
  • CMAP / GPCP / TRMM
  • Annual climatology (mm/day) for 1988 2000
  • Largest uncertainties (standard deviation among
    observations) over ITCZ and high latitudes
  • Standard Deviation about 10 of the mean values

4
Evaporation Observation Data
  • Four products
  • GSSTF2 / HOAPS3
  • J-OFURO-2 / SOC1.1a
  • Annual climatology (mm/day) for 1988 2000
  • Large uncertainties over tropical oceans,
    especially over E. Pacific and over oceans around
    the Maritime Continent
  • Standard Deviation about 10 of the mean values

5
E-P Annual Climatology
  • Based on 12 sets of E/P combinations
  • Standard Deviation about 10 - 20 of the mean
    values
  • Less uncertainties in zonal mean

6
DJF Precipitation Climatology
  • Spatial patterns
  • reproduced well by
  • all products
  • Pattern in GDAS in
  • close agreement with
  • observations
  • Orientation of SPCZ
  • in CDAS1 too flat
  • Precipitation too heavy in GDAS, CDAS2, GFS
    and CFS
  • Atlantic ITCZ shirted southward and double
    ITCZ over E. Pacific in CFS

7
Precipitation Annual Cycle over Atlantic
  • 30oW-20oW
  • Excessive preci-
  • pitation in GDAS,
  • CDAS2, GFS and CFS
  • Migration of ITCZ
  • extremely well
  • simulated in GDAS
  • ITCZ location shifted
  • in CDAS2, GFS, and CFS
  • Southward shift of ITCZ reaches 10o during
    Spring in CFS

8
DJF Evaporation Climatology
  • Large-scale pattern
  • reproduced reasonably
  • well in all products
  • Over S.H., magnitude
  • in all products close
  • to that in the
  • observations
  • Over N.H., excessive amount of evaporation
    compared to the observations

9
DJF E-P Climatology
  • Large-scale pattern
  • reproduced reasonably
  • well in all products
  • Larger magnitude
  • in GDAS and CDAS2
  • over tropics
  • Excessive incoming E-P flux along Pacific
    ITCZ in GFS and CFS

10
Latitudinal Profile of Annual Mean
  • Location of maxima and minima well caught
  • CDAS1 reproduced the magnitude of E and P very
    well
  • All other products generated excessive amount of
    E / P over most latitudes

11
Anomaly Correlation for Precip.
  • Correlation very high (gt0.8) between the two
    observations from 50oS-50oN
  • Monthly anomaly reproduced very well by GDAS over
    most oceanic regions
  • Reasonable agreements for CDAS1 and CDAS2,
    especially over Pacific and North Atlantic

12
Standard Deviation of Precipitation Anomaly
  • Insufficient / excessive magnitude of
    inter-annual variations in precipitation
    simulated in CDAS1 / CDAS2
  • Results for GDAS not included due to short data
    record without major ENSO events

13
Anomaly Correlation for Evap.
  • Correlation very high (gt0.8) between the two
    observations over extra-tropics and reasonably
    high (gt0.6) over tropics
  • Evaporation anomaly reproduced well over
    extra-tropics but less desirable over tropics
    (rlt0.5)
  • GDAS presents better agreements with the
    observations

14
Standard Deviation of Evaporation Anomaly
  • Distribution of anomaly standard deviation for
    CDAS1 compares well with the observations in both
    pattern and magnitude
  • Patterns generated by CDAS2 is similar to but
    magnitude is much larger than those in the
    observations

15
GDAS Performance
  • Time series of pattern correlation between GDAS
    simulation and observations (CMAP/HOAPS3)
  • Slight improvements in precipitation simulation
    from mid of 2003
  • Steady improvements in evaporation, especially
    over tropics

16
Summary
  • Seasonal variations and interannual
    variability of oceanic precipitation and
    evaporation in GDAS, CDAS1, CDAS2, GFS and CFS
    are broadly consistent with observations
  • GDAS presents the best performance among the
    five products examined
  • However, certain consistent errors are seen
  • The ITCZ is too weak in CDAS1 and too strong in
    the GDAS and GFS
  • Shift in ITCZ / SPCZ positions, especially over
    Atlantic
  • Systematic differences between GFS and CFS
  • Excessive evaporation in GDAS, CDAS2, GFS and CFS

17
MAM Precipitation Climatology
  • Double ITCZ over
  • E. Pacific reproduced
  • well in GDAS, CDAS1,
  • CDAS2 and GFS
  • ITCZ over E. Pacific
  • (northern branch)
  • weak and ITCZ over
  • Atlantic shifted
  • southward
  • ITCZ too strong over Pacific and Atlantic
    in GDAS, CDAS2, GFS, and CFS

18
JJA Precipitation Climatology
  • Spatial patterns
  • reproduced well by
  • all products
  • Pattern in GDAS in
  • close agreement with
  • observations
  • Precipitation too heavy
  • in GDAS, CDAS2,
  • GFS and CFS

19
JJA Evaporation Climatology
  • Large-scale pattern
  • reproduced reasonably
  • well in all products
  • Larger amount of
  • evaporation in all
  • products over Indian
  • Ocean
  • Reasonable magnitude of evaporation
    elsewhere

20
JJA E-P Climatology
  • Large-scale pattern
  • reproduced reasonably
  • well in all products
  • Larger magnitude
  • in GDAS and CDAS2
  • over tropics
  • Excessive/deficit incoming E-P flux over
    East / West Pacific ITCZ in GFS and CFS

21
DJF Evap. Anomaly Pattern ENSO
  • Regressional coeffi-
  • cients of evaporation
  • against NINO3.4
  • Magnitude of evapo-
  • ration anomaly is much
  • smaller (1/5) than that
  • of precipitation
  • Anomaly pattern well
  • simulated by CDAS1, CDAS2 and GFS,
    especially over Atlantic
  • Anomaly pattern poorly simulated by CFS
    over Pacific
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