Assessing CFS Model Bias Associated with the Marine Stratus over Southeastern Pacific P. Xie1), W. Wang1), W. Higgins1), M. Cronin2), P.A. Arkin3), and R. Weller4) 1) NOAA Climate Prediction Center 2) NOAA Pacific Marine Environmental Laboratory 3) - PowerPoint PPT Presentation

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Assessing CFS Model Bias Associated with the Marine Stratus over Southeastern Pacific P. Xie1), W. Wang1), W. Higgins1), M. Cronin2), P.A. Arkin3), and R. Weller4) 1) NOAA Climate Prediction Center 2) NOAA Pacific Marine Environmental Laboratory 3)

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After 8 months, warm bias reaches very close to its balanced condition (CMIP) ... Faster during spring and reaches close to balance spring of the 2nd year ... – PowerPoint PPT presentation

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Title: Assessing CFS Model Bias Associated with the Marine Stratus over Southeastern Pacific P. Xie1), W. Wang1), W. Higgins1), M. Cronin2), P.A. Arkin3), and R. Weller4) 1) NOAA Climate Prediction Center 2) NOAA Pacific Marine Environmental Laboratory 3)


1
Assessing CFS Model Bias Associated with the
Marine Stratus over Southeastern PacificP.
Xie1), W. Wang1), W. Higgins1), M. Cronin2),
P.A. Arkin3), and R. Weller4)1) NOAA Climate
Prediction Center2) NOAA Pacific Marine
Environmental Laboratory3) ESSIC, Univ. of
Maryland4) Woods Hole Oceanographic
InstitutionAcknowledgementsMingyue Chen, Ake
Johansson, and Suranjana Saha
2
Warm SST Bias over SE Pacificin CFS CMIP
Simulations
3
Questions for This Year
  • How long does it take for the warm bias to
    develop in the CFS forecasts from its initial
    condition to what is observed in CFS/CMIP?
  • examining CFS hindcasts
  • To what extent the warm bias is caused by the
    insufficiently simulated stratus clouds over SE
    Pacific?
  • performing CMIP simulations with radiation
    over SE Pacific corrected

4
Examining the Evolution of Warm SST Bias
  • Looking at CFS hindcasts with different forecast
    leading times and comparing them the with initial
    (GODAS/R2) and balanced conditions (CMIP)
  • Daily and monthly climatology of CFS hindcasts
    for a 23-year period from 1981 to 2003
  • Initiating date / month
  • Leading time from 1-45 days and 0 8 months for
    the daily and monthly hindcast climatologies,
    respectively

5
Evolution of the Warm SST BiasMonthly
Climatology of CFS Hindcasts
  • Averaged with respect to different leading months
    using hindcasts with all different initiating
    months
  • Warm bias starts from coastal areas and spreads
    steadily toward NW
  • After 8 months, warm bias reaches very close to
    its balanced condition (CMIP)

6
Evolution of the Warm SST BiasDaily
Climatologyof CFS Hindcasts
  • Warm bias grows quite fast along the coast during
    the first month

7
Mean SST Bias over SE Pacific
  • Evolution of mean warm SST bias over the SE
    Pacific as seen from the daily (top) and monthly
    (bottom) CFS hindcasts
  • Warm SST bias reaches 80 of that in the CFS/CMIP
    after 8 months

8
Bias Evolution in the Hindcasts with Different
Initial Months
  • Warm SST bias starts at different coastal regions
    and evolves through different processes

9
SEP Mean Bias Evolution for Hindcasts with
Different Initiating Times
  • Warm bias develops relatively quickly in the
    first month
  • Warm bias grows very fast during boreal spring
  • Warm bias reaches close to the balanced condition
    from the spring of the second year
  • Bias evolution seasonally dependent

10
Bias Evolution Near the Coast 76oW13oS
  • Warm bias reaches close to its balanced condition
    in the first month
  • Warm bias may grow at a rate of more than
    0.1oK/day during the first 30 days of hindcasts
    (e.g. in September)

11
Bias Evolution Over Open Ocean 85oW20oS
  • Warm bias develops relatively fast in the first
    30 days (but not as much as that over the coastal
    region)
  • Bias evolution regionally dependent

12
Evolution of Cloudiness in the CFS Models
  • Averaged with respect to different leading times
    using hindcasts with all different initiating
    months
  • Cloudiness reached very close to its balanced
    condition in the first month

13
Evolution of Net Radiation in the CFS Model
  • Net downward radiation biased in the initial
    condition
  • Adjusted to its balanced condition in a month
  • Positive radiation bias over a narrow band along
    the coast

14
Radiation and SST Biases for Different Months
  • Monthly hindcasts climatology for the first
    targeting month
  • Seasonal variations in location and distribution
    for both the SST and the radiation biases during
    early months of forecasts
  • The SST and the radiation biases are co-located
    through the seasonal cycle
  • Excessive incoming radiation caused by
    insufficiently simulated stratus clouds is a
    major contributor to the warm SST bias

15
Radiation and SST Biases in the Hindcasts of
Diff. Leading Months
  • Positive radiation bias confined within coastal
    areas throughout the forecast periods
  • Warm SST bias spreads out from the coastal region
    toward NW during the forecast period
  • Other mechanisms responsible for the spreading
    the warm bias

16
Examining the Impacts of the Insufficiently
Simulated Stratus Clouds over SE Pacific
  • Quantifying the stratus clouds contributions to
    the warm SST bias under balanced condition (CMIP)
  • Performing CFS CMIP simulations with radiation
    budget over SE Pacific corrected with daily
    climatology of observed radiation (SRB)
  • Comparing radiation-corrected CMIP simulations
    with the standard CMIP runs

17
Annual Mean Bias
  • The warm SST bias over the SEP is reduced by
    about half

18
Interannual Variability
  • Interannual standard deviation of monthly SST
  • Tropical interannual variability is weakened with
    the reduction of the warm SST bias over SE Pacific

19
ENSO
  • NINO3.4 index
  • Intensity of ENSO reduced compared to the
    standard CFS CMIP simulations and observations

20
Answers (?)
  • How Long Does it take to develop the warm bias?
  • Seasonal and regionally dependent
  • Faster during spring and reaches close to balance
    spring of the 2nd year
  • More rapidly over coastal region than over open
    ocean
  • On average, the warm bias reaches 80 of its
    balanced condition after 8 months
  • To what extent the insufficiently simulated
    stratus clouds play in forming and maintaining
    the warm bias
  • Triggering the warm bias over the narrow band
    along the coast
  • Providing excessive energy to the model ocean
    over the coastal region
  • Other mechanisms (oceanic and ar-sea
    interactions) responsible for re-distributing the
    energy and spreading the warm SST bias
  • Warm bias reduced by half if the excessive
    incoming radiation is corrected
  • Insufficiently simulated stratus clouds not the
    only factor contributing to the warm SST bias
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