Title: Multisensor Improved SST MISST for GODAE
1Multi-sensor Improved SST (MISST) for GODAE
Part I Chelle Gentemann, Gary Wick Part II Jim
Cummings, Eileen Maturi gentemann_at_remss.com www.mi
sst.org
AQUA AMSR-E MODIS
TRMM TMI
GOES Imager
POES AVHRR
ENVISAT AATSR
2Outline
- Project
- Data
- Enhanced data sets designed for use in analyses
- Observation errors
- Diurnal warming
- Cool skin
- SST analyses
- Impact Studies
3A proposal in 2 parts
- Part 1 Data Production Analysis
- Significant RD component
- Produce an improved Global 10 km NRT SST through
the combination of observations from
complementary IR and MW sensors - Part 2 Impact Assessment
- Demonstrate the impact of these improved SST
products on operational ocean models, NWP, and
tropical cyclone intensity forecasting
4MISST L2P SST Data
-
- NAVOCEANO NOAA-18, NOAA-17
- RSS TMI, AMSR-E orbital
- TMI, AMSR-E gridded
- NOAA GOES-EastWest (MTSAT)
- JPL GDAC MODIS Terra AQUA OBPG / RSMAS
- Successful production of 8 (9) SST L2P datasets
with time of observation, location, bias,
standard deviation, .
5MODIS L2P
Flags
SST
Bias
STD
6GOES L2P
SST
AOD
SSI
Wind
7Diurnal Warming
- 2) Parameterization of IR and MW retrieval
differences, with consideration of diurnal
warming and cool-skin effects required for
multi-sensor blending.
3 K
DMSP
0730
1330
0830
0530
24
POES
15
08
TRMM
8Skin effect
- 2) Parameterization of IR and MW retrieval
differences, with consideration of diurnal
warming and cool-skin effects required for
multi-sensor blending.
IR
MW
0.0
Increasing wind speed
SST Skin Bulk (K)
-0.4
?T-0.14-0.3e(-u/3.7)
Depth (mm)
0 5 10 15
wind speed (m/s)
Figure from Donlon, C. J., P. Minnett, C.
Gentemann, T. J. Nightingale, I. J. Barton, B.
Ward and, J. Murray, Towards Improved Validation
of Satellite Sea Surface Skin Temperature
Measurements for Climate Research, J. Climate,
15(4), 353-369, 2002.
Cool skin Magnitude (K)
9 SST analyses
- www.misst.org
- US GODAE server
- Navy 9km OI SST www.usgodae.org
- NOAA server
- AVHRR 17/18 GOES E/W 11km OI SST
www.orbit.nesdis.noaa.gov/sod/sst/index.php - AVHRRAMSR-E 25km daily OI SST Reynolds
- RSS server
- 25km MW OI SST www.remss.com
- 9km IRMW OI SST www.remss.com
- All data, documentation, and software are freely
available via ftp http
10Global 10 km NRT SST
11MODISAMSRETMI
12Impact Studies
- 5) Targeted impact assessment of the SST analyses
on hurricane intensity forecasting, numerical
data assimilation by ocean models (both national
and within GODAE), numerical weather prediction,
and operational ocean forecast models. - NWP NRL Monterey
- Do merged SSTs improve assimilation of AMSU
radiances? - Are L2P errors useful?
- Do multiple satellite SSTs improve NOGAPS
forecasts?
13NOGAPS TC track
- Although there was no significant difference in
the track forecast errors overall, there were
areas where the use of the MISST SST analyses
resulted in significantly improved NOGAPS TC
track forecasts
14Impact Studies
- 5) Targeted impact assessment of the SST analyses
on hurricane intensity forecasting, numerical
data assimilation by ocean models (both national
and within GODAE), numerical weather prediction,
and operational ocean forecast models. - Hurricane Intensity Forecasting
- Do higher spatial/temporal SSTs improve accuracy
of intensity forecasting? - DeMaria(NOAA) evaluate the utility of these new
merged SSTs in the Statistical Hurricane
Intensity Prediction Scheme (SHIPS) - Cione (HRD) evaluate the merged SSTs in his
developmental inner-core SST algorithm
15NOAA OPC Impact Studies
- Ming Ji, Director of the NCEP Ocean Prediction
Center (OPC) at NOAA to run impact studies. - OPC issues 109 daily operational marine forecast
products including surface analysis and up to
five-day lead time forecasts of ocean surface
winds and wave heights for offshore regions - OPC forecasts serve commercial shipping,
commercial and recreational fishing communities,
and to protect life and properties. - OPC does not have operational SST analysis and
forecast products at present.
16SHIPS
17Research into CO2 fluxes
PgC/yr
18Impact at operational centers
- NAVOCEANO has benefited from MISST by
- Providing access to multiple SST data sets from
national and international providers - Access to more SST data has provided the
opportunity to assimilate more data into K10,
MODAS, and NCODA analyses - K10 now operationally uses AMSR-E data
- NCODA has been designed to assimilate multiple
data sets, currently it assimilates AVHRR, GOES,
AMSR-E, AATSR, MSG
19Impact at operational centers
- NOAA NCEP has benefited from MISST by
- MISST development of best-practice
methodologies to account for diurnal warming and
cool skin effects - Development of sensor errors
- AMSR-E assimilation and skin temperature
determination extensions to the JCSDA CRTM
(Community Radiative Transfer Model) - New Reynolds daily 25km AMSR-E AVHRR
20MISST Website
21Links to all data
22Reports
23Thank you!