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)
1Assessing 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
2Warm SST Bias over SE Pacificin CFS CMIP
Simulations
3Questions 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
4Examining 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
5Evolution 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)
6Evolution of the Warm SST BiasDaily
Climatologyof CFS Hindcasts
- Warm bias grows quite fast along the coast during
the first month
7Mean 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
8Bias Evolution in the Hindcasts with Different
Initial Months
- Warm SST bias starts at different coastal regions
and evolves through different processes
9SEP 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
10Bias 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)
11Bias 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
12Evolution 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
13Evolution 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
14Radiation 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
15Radiation 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
16Examining 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
17Annual Mean Bias
- The warm SST bias over the SEP is reduced by
about half
18Interannual Variability
- Interannual standard deviation of monthly SST
- Tropical interannual variability is weakened with
the reduction of the warm SST bias over SE Pacific
19ENSO
- NINO3.4 index
- Intensity of ENSO reduced compared to the
standard CFS CMIP simulations and observations
20Answers (?)
- 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