NASA Jet Propulsion Laboratory, California Institute of Technology

Slides:



Advertisements
Similar presentations
Meteorologisk Institutt met.no Ocean Surface Warming by Polar lows - Observational Evidence from Microwave Data Øyvind Saetra, Torsten Linders and Steinar.
Advertisements

Role of Air-Sea Interaction on the Predictability of Tropical Intraseasonal Oscillation (TISO) Xiouhua Fu International Pacific Research Center (IPRC)
Understanding Potential Factors Influencing the ITF in the 21 st Century Tony Lee NASA Jet Propulsion Laboratory California Institute of Technology.
Operational NCEP Global Ocean Data Assimilation System: The Link, Validation, and Application Part I Yan Xue, Boyin Huang Climate Prediction Center, NCEP/NOAA.
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
How do model errors and localization approaches affects model parameter estimation Juan Ruiz, Takemasa Miyoshi and Masaru Kunii
Assimilation of Sea Surface Temperature into a Northwest Pacific Ocean Model using an Ensemble Kalman Filter B.-J. Choi Kunsan National University, Korea.
1 Development of a Regional Ocean Modeling System (ROMS) for Real-Time Forecasting in Prince William Sound and Adjacent Alaska Coastal Waters YI CHAO,
Investigation of the Aerosol Indirect Effect on Ice Clouds and its Climatic Impact Using A-Train Satellite Data and a GCM Yu Gu 1, Jonathan H. Jiang 2,
CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.
Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,
Integrating satellite observations for assessing air quality over North America with GEOS-Chem Mark Parrington, Dylan Jones University of Toronto
Using Scatterometers and Radiometers to Estimate Ocean Wind Speeds and Latent Heat Flux Presented by: Brad Matichak April 30, 2008 Based on an article.
Comparison and Evaluation of Scatterometer (SCR) observed wind data with buoy wind data Xinzhong Zhang Remote Sensing December 8 th, 2009.
Relationships between wind speed, humidity and precipitating shallow cumulus convection Louise Nuijens and Bjorn Stevens* UCLA - Department of Atmospheric.
2-5 Mar, 2015IHC1 Sensitivity of Ocean Sampling for Coupled COAMPS-TC Prediction Sue Chen 1, James Cummings 2, Jerome Schmidt 1, Peter Black 2, Elizabeth.
The Global Ocean Data Assimilation System (GODAS) at NCEP
From NOGAPS to NAVGEM 1.1 in GOFS: A Progress Report Main performers: Joe Metzger, Alan Wallcraft (NRL) Ole Martin Smedstad, Debbie Franklin (QNA) Brief.
IGST Meeting June 2-4, 2008 The GMAO’s Ocean Data Assimilation & SI Forecasts Michele Rienecker, Christian Keppenne, Robin Kovach Jossy Jacob, Jelena Marshak.
Megha Tropiques (GP Retrieval and Applications plan) Vijay K. Agarwal, MOG/SAC Oct , 2005.
Sophie RICCI CALTECH/JPL Post-doc Advisor : Ichiro Fukumori The diabatic errors in the formulation of the data assimilation Kalman Filter/Smoother system.
Clivar - Pune The Vasco-Cirene experiment J.Ph. Duvel J. Vialard and R. Molcard J.Ph. Duvel J. Vialard and R. Molcard LMD-ENS Paris, France LODYC, UPMC,
Southern Ocean Surface Measurements and the Upper Ocean Heat Balance Janet Sprintall Sarah Gille Shenfu Dong Scripps Institution of Oceanography, UCSD.
Regional Air-Sea Interactions in Eastern Pacific 6th International RSM Workshop Palisades, New York July 11-15, th International RSM Workshop Palisades,
APEC Climate Center Data Service System Chi-Yung Francis Tam APCC.
Sources of Surface Wind Fields for Climate Studies From Surface Measurements –Ships –Buoys From Models –GCM (with K-theory PBLs) –UW Similarity Model.
Dynamical MJO Hindcast Experiments: Sensitivity to Initial Conditions and Air-Sea Coupling Yehui Chang, Siegfried Schubert, Max Suarez Global Modeling.
An evaluation of satellite derived air-sea fluxes through use in ocean general circulation model Vijay K Agarwal, Rashmi Sharma, Neeraj Agarwal Meteorology.
Wind Stress Data Products for Model Comparison 2012 ECCO Meeting California Institute of Technology David Moroni 10/31/12.
Prospects for Ocean (Re)analyses James A. Carton University of Maryland Benjamin S. Giese Texas A&M University Outline: Current analyses Global heat storage:
NOAA’s Climate Prediction Center & *Environmental Modeling Center Camp Springs, MD Impact of High-Frequency Variability of Soil Moisture on Seasonal.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Tropospheric Emission Spectrometer Studying.
 one-way nested Western Atlantic-Gulf of Mexico-Caribbean Sea regional domain (with data assimilation of SSH and SST prior to hurricane simulations) 
Evaluation of the Real-Time Ocean Forecast System in Florida Atlantic Coastal Waters June 3 to 8, 2007 Matthew D. Grossi Department of Marine & Environmental.
Constraining a global, eddying, ocean and sea ice model with level-2 QuikSCAT wind stress data: First results D. Menemenlis, H. Zhang, H. Brix, and D.
Class 8. Oceans Figure: Ocean Depth (mean = 3.7 km)
Contributions to SST Anomalies in the Atlantic Ocean [Ocean Control of Air-Sea Heat Fluxes] Kathie Kelly Suzanne Dickinson and LuAnne Thompson University.
An evaluation of a hybrid satellite and NWP- based turbulent fluxes with TAO buoys ChuanLi Jiang, Kathryn A. Kelly, and LuAnne Thompson University of Washington.
Assimilating Satellite Sea-Surface Salinity in NOAA Eric Bayler, NESDIS/STAR Dave Behringer, NWS/NCEP/EMC Avichal Mehra, NWS/NCEP/EMC Sudhir Nadiga, IMSG.
Impact of TAO observations on Impact of TAO observations on Operational Analysis for Tropical Pacific Yan Xue Climate Prediction Center NCEP Ocean Climate.
Decadal variability in the Indo-Pacific ocean inferred from satellite data and ECCO assimilation Tong Lee NASA Jet Propulsion Laboratory, California Institute.
MICHAEL A. ALEXANDER, ILEANA BLADE, MATTHEW NEWMAN, JOHN R. LANZANTE AND NGAR-CHEUNG LAU, JAMES D. SCOTT Mike Groenke (Atmospheric Sciences Major)
Argo is an international program to deploy 3,000 profiling floats to collect observations of the temperature and salinity structure of the upper ocean--globally.
Norwegian Meteorological Institute met.no Are North Atlantic SST anomalies significant for the Nordic Seas SSTs? Arne Melsom Norwegian Meteorological Institute,
NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA Record warming in the South Pacific & western Antarctica.
Consistency & Fidelity of Indonesian Throughflow (ITF) Transport Estimated by Ocean Data Assimilation (ODA) Products Tong Lee NASA Jet propulsion Laboratory,
An Extreme Oceanic & Atmospheric Event in the South Pacific & Western Antarctica Associated With the El Niño Tong Lee*, Carmen Böning, Will Hobbs,
Seasonal Variations of MOC in the South Atlantic from Observations and Numerical Models Shenfu Dong CIMAS, University of Miami, and NOAA/AOML Coauthors:
Towards the utilization of GHRSST data for improving estimates of the global ocean circulation Dimitris Menemenlis 1, Hong Zhang 1, Gael Forget 2, Patrick.
Summary of the GHRSST Joint Workshop Melbourne discussion on the Argo near- surface temperature measurements Andrea Kaiser-Weiss, Gary Wick, Carol-Anne.
Assimilation of Sea Surface Temperature in OPAVAR State of the art: Relaxation to Reynolds SST (daily, interpolated to ORCA grid, ENACT) - strong relaxation.
Thermocline & Pycnocline
Argo’s role in closing the oceanic heat and freshwater budgets Dean Roemmich, Josh Willis, and John Gilson Scripps Institution of Oceanography, La Jolla.
Ocean State Estimation by 4D-VAR Data Assimilation using ARGO Data S
Status and Outlook Evaluating CFSR Air-Sea Heat, Freshwater, and Momentum Fluxes in the context of the Global Energy and Freshwater Budgets PI: Lisan.
A Fear-Inspiring Intercomparison of Monthly Averaged Surface Forcing
Analysis of tropospheric ozone long-term lidar and surface measurements at the JPL-Table Mountain Facility site, California Maria J. Granados-Muñoz and.
V. Sridhara, Kyle C McDonaldb and Dennis P Lettenmaiera
High-resolution air-sea modeling of the Philippines winter monsoon
Coupled atmosphere-ocean simulation on hurricane forecast
El Nino Southern Oscillation
Shuyi S. Chen, Ben Barr, Milan Curcic and Brandon Kerns
Y. Xue1, C. Wen1, X. Yang2 , D. Behringer1, A. Kumar1,
Heat Transport by the Atmosphere and ocean
OC Remote Sensing of the Atmosphere and Ocean - Summer 2001
Space and time scales in satellite oceanography
Joint Proposal to WGOMD for a community ocean model experiment
Numerical Mixing in the COSIMA Models
Supervisor: Eric Chassignet
Shuyi S. Chen1 Wei Zhao1, Ralph Foster2, W. Timothy Liu3
Presentation transcript:

NASA Jet Propulsion Laboratory, California Institute of Technology Highlights of sensitivity experiments Tony Lee NASA Jet Propulsion Laboratory, California Institute of Technology IGST-XII meeting, St. John’s, Newfoundland, Aug. 7-9, 2007 Sensitivity of ocean state to wind forcing measured by one vs. two satellite scatterometers. Sensitivity of heat content & transport in the tropical Indian Ocean to remote temperature field – implications to in-situ observing systems (XBT, Argo).

NASA scatterometer tandem mission (QuikSCAT & SeaWind) during 2003 (days 100-297) provides an opportunity to evaluate the impact of high-frequency wind sampling on estimated oceanic state. One (two) scatterometers samples 90% of the ocean at daily (twice-daily) intervals.

Difference in spring-summer SST of 2003 using twice-daily and daily wind obtained from QuikSCAT and SeaWind tandem mission (in °C) The difference would be even larger if relaxation of model SST to Reynolds is turned off

Cause for the SST difference with twice-daily vs Cause for the SST difference with twice-daily vs. daily SCAT winds away from ACC (similar to Lee and Liu 2005 based on NCEP wind experiments) Z Twice-daily wind: stronger vertical mixing, deeper mixed layer, colder SST Daily wind: weaker vertical mixing, shallower mixed layer, warmer SST T profiles

Significance of difference in SST, mixed-layer depth, & vertical mixing Air-sea heat flux estimates (e.g., in 4D-VAR assimilation or bulk-formula estimates). Re-emergence of water mass formed in previous winter. Biogeochemical simulations