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20040070941 <strong>NASA</strong> Goddard Space Flight Center, Greenbelt, MD, USA<br />

Ocean Color <strong>and</strong> Evidence of Chlorophyll Signature in the TOMS Minimum Reflectivity Data<br />

Ahmad, Z.; Herman, J. R.; Bhartia, P. K.; 2003; 1 pp.; In English; Fall AGU 2003, 8-12 Dec. 2003, San Francisco, CA, USA;<br />

No Copyright; Avail: Other Sources; Abstract Only<br />

Analysis of the TOMS minimum reflectivity data for 380 nm channel (R380) show regions of high reflectivity values<br />

(approx. 7 to 8%) over Sargasso Sea in the Northern Atlantic, anti-cyclonic region in the Southern Atlantic, <strong>and</strong> a large part<br />

of the ocean in the Southern Pacific, <strong>and</strong> low values (5 approx. 6 %) over the rest of the open ocean. Through radiative transfer<br />

simulations we show that these features are highly correlated with the distribution of chlorophyll in the ocean. Theoretical<br />

minimum reflectivity values derived with the help of CZCS chlorophyll concentration data as input into a vector<br />

ocean-atmosphere radiative transfer code developed by Ahmad <strong>and</strong> Fraser show very good agreement with TOMS minimum<br />

reflectivity data for the winter season of year 1980. For the summer season of year 1980, good qualitative agreement is<br />

observed in the equatorial <strong>and</strong> northern hemisphere but not as good in the southern hemisphere. Also, for cloud-free<br />

conditions, we find a very strong correlation between R340 minus R380 values <strong>and</strong> the chlorophyll concentration in the ocean.<br />

Results on the possible effects of absorbing <strong>and</strong> non-absorbing aerosols on the TOMS minimum reflectivity will also be<br />

presented. The results also imply that ocean color will affect the aerosol retrieval over oceans unless corrected.<br />

Author<br />

Total Ozone Mapping Spectrometer; Aerosols; Air Water Interactions; Chlorophylls; Radiative Transfer; Water Color<br />

20040070942 <strong>NASA</strong> Goddard Space Flight Center, Greenbelt, MD, USA<br />

Implementation of Coupled Skin Temperature Analysis <strong>and</strong> Bias Correction in a Global Atmospheric Data<br />

Assimilation System<br />

Radakovich, Jon; Bosilovich, M.; Chern, Jiun-dar; daSilva, Arlindo; 2004; 1 pp.; In English; AGU Spring Meeting, 17-21<br />

May 2004, Montreal, Canada; No Copyright; Avail: Other Sources; Abstract Only<br />

The <strong>NASA</strong>/NCAR Finite Volume GCM (fvGCM) with the NCAR CLM (Community L<strong>and</strong> Model) version 2.0 was<br />

integrated into the <strong>NASA</strong>/GMAO Finite Volume Data Assimilation System (fvDAS). A new method was developed for<br />

coupled skin temperature assimilation <strong>and</strong> bias correction where the analysis increment <strong>and</strong> bias correction term is passed into<br />

the CLM2 <strong>and</strong> considered a forcing term in the solution to the energy balance. For our purposes, the fvDAS CLM2 was run<br />

at 1 deg. x 1.25 deg. horizontal resolution with 55 vertical levels. We assimilate the ISCCP-DX (30 km resolution) surface<br />

temperature product. The atmospheric analysis was performed 6-hourly, while the skin temperature analysis was performed<br />

3-hourly. The bias correction term, which was updated at the analysis times, was added to the skin temperature tendency<br />

equation at every timestep. In this presentation, we focus on the validation of the surface energy budget at the in situ reference<br />

sites for the Coordinated Enhanced Observation Period (CEOP). We will concentrate on sites that include independent skin<br />

temperature measurements <strong>and</strong> complete energy budget observations for the month of July 2001. In addition, MODIS skin<br />

temperature will be used for validation. Several assimilations were conducted <strong>and</strong> preliminary results will be presented.<br />

Author<br />

Finite Volume Method; Temperature Measurement; MODIS (Radiometry); Imaging Spectrometers; Data Systems; Bias;<br />

Satellite Observation<br />

20040071002 <strong>NASA</strong> Stennis Space Center, Bay Saint Louis, MS, USA, Lockheed Martin Space Operations, Bay Saint<br />

Louis, MS, USA<br />

The 10-Year Remote Sensing Industry Forecast <strong>and</strong> Analysis<br />

Rabin, Ron; January 08, 2002; 31 pp.; In English; Presentation at Management Association for Private Photogrammetric<br />

Surveyors (MAPPAS) Winter Meeting 2002, 19-23 Jan. 2002, Cabo San Lucas, Mexico; Original contains black <strong>and</strong> white<br />

illustrations<br />

Contract(s)/Grant(s): NAS13-650<br />

Report No.(s): SE-2002-01-00002-SSC; No Copyright; Avail: CASI; A03, Hardcopy<br />

This viewgraph presentation provides the results of a survey of 1450 professionals employed by organizations in the<br />

remote sensing industry. The survey asked participants about the status of the industry.<br />

CASI<br />

Remote Sensing; Industries; Technology Assessment; Economic Factors<br />

128

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