Research > OWX

 

Welcome to the Ocean Weather Laboratory!

Located at the John C. Stennis Space Center, the Ocean Weather Lab is a real-time integrated and predictive center for ocean modeling, data integration, and biogeochemical oceanography. The mission of the Ocean Weather Laboratory is to assemble and couple satellite remote sensing data with ocean models, in situ observations, and other remotely sensed products to fully characterize a 4-dimensional ocean. To facilitate meeting our objective, the Ocean WeatherLab processes satellite ocean color (MODIS, VIIRS) and physical model (NCOM, HYCOM) data for the Gulf of Mexico on a daily basis. For latest coverage, visit our directory structure here (non USM network) or here (Internal USM Network).

In addition to the Ocean Weather real-time data Lab, USM’s Division of Marine Science houses several in situ observation support platforms, including gliders, the R/V Lemoyne, a weather buoy, CODAR sites, laboratory facilities, and state of the art oceanographic instrumentation. The integration of in situ, remotely sensed, and modeled data in real-time sheds light on the interaction of physics and biogeochemistry in complex ecosystems, and leads to  an increased understanding of inherent uncertainties.

This comprehensive integration of data from several sources provides closure as well as highlighting ecological patterns that may otherwise go unnoticed in the Gulf of Mexico. With this system, we are able to examine the origin and date of river plumes, quantify biomass and physical volume transport, track the movement of bio-optical features, specifically characterize water masses, resolve spatial and temporal variance, and link the bio-physical coupling that ultimately drives ecosystem variability on global scales. We are continuously collaborating with a diverse group of scientists in order to expand our capabilities and strive to provide real-time answers to rapidly evolving questions.

 

Contacts

Robert Arnone - Research Professor(228) 688-6268

Robert.Arnone@usm.edu

Inia Soto RamosResearch Assistant(228) 688-3556
Inia.sotoramos@usm.edu

Mustafa "Kemal" Cambazoglu - Research Scientist(228) 688-3009
mustafa.cambazoglu@usm.edu

Brooke Jones - Post Doc (228) 688-3154
e.brooke.jones@usm.edu

 

 

Recent Publications from the Ocean Weather Lab:


  1. Arnone, R., Vandermeulen, R., Ladner, S., Ondrusek, M., Kovach, C., Hang, H., Salisbury, J., 2016.  Diurnal changes in ocean color in coastal waters. Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 982711.  http://dx.doi.org/10.1117/12.2241018    
  2. Arnone, R., Vandermeulen, R.A., Donaghay, P., Yang, H., 2016. Surface biomass across the Coastal Mississippi Shelf. Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270Z. http://dx.doi.org/10.1117/12.2240874  
  3. Jenkins, C.A., Goes, J.I.,  McKee, K., Gomes, H., Arnone, R.,  et al. 2016. High-resolution shipboard measurements of phytoplankton: a way forward for enhancing the utility of satellite SST and chlorophyll for mapping microscale features and frontal zones in coastal waters. Proc. SPIE 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications and Challenges 98780U. http://dx.doi.org/10.1117/12.2225875
  4. Valente, A., Sathyendranath, S., Brotas, V., Groom, S., Grant, M., Taberner, M., Antoine, D., Arnone, et al., 2016. A compilation of global bio-optical in situ data for ocean-colour satellite applications. Earth Syst. Sci. Data 8:235-252. DOI: 10.5194/essd-8-235-2016.
  5. Yang, H., Arnone, R., Jolliff, J., 2015. Estimating Advective near-surface currents from ocean color satellite images. Remote Sensing of Environment 158:1-14. DOI: 10.1016/j.rse.2014.11.010. 
  6. Arnone, R., Vandermeulen, R.A., Ignatov, A., Cayula, J.F., 2015. Seasonal trends of ACSPO VIIRS SST product characterized by the differences in orbital overlaps for various waters types. Proc. SPIE 9827, Ocean Sensing and Monitoring VII, 94590T. http://dx.doi.org/10.1117/12.2179731.
  7. Vandermeulen, R.A., Arnone, R., Ladner, S., Martinolich, P., 2015. Enhanced satellite remote sensing of coastal waters using spatially improved bio-optical products from SNPP-VIIRS. Remote Sensing of Environment 165:53-63. http://dx.doi.org/10.1016/j.rse.2015.04.026
  8. Arnone, R., Vandermeulen, R.A., Ladner, S., Bowers, J., Martinolich, P., Fargion, M., Ondrusek, M., 2014. Sensitivity of calibration “gains” to ocean color processing in coastal and open waters using ensembles members for NPP- VIIRS. Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 911105. http://dx.doi.org/10.1117/12.2053409
  9. Vandermeulen, R.A., Arnone, R., Ladner, S., Martinolich, P., 2014.Estimating sea surface salinity in coastal waters of the Gulf of Mexico using visible channels on SNPP-VIIRS. Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 911109.  http://dx.doi.org/10.1117/12.2053417
  10. Ladner, S., Arnone, R., Vandermeulen, R.A., Martinolich, P., Lawson, A., Bowers, J., Crout, R., Ondrusek, M., 2014. Inter-Satellite Comparison and Evaluation of Navy SNPP-VIIRS and MODIS-Aqua Ocean Color Properties. Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 911109. http://dx.doi.org/10.1117/12.2053060
  11. Bowers, J., Arnone, R., Ladner, S., Fargion, M., Lawson, A., Martinolich, P., Vandermeulen, R.A., 2014.  Regional Vicarious Gain Adjustment for Coastal VIIRS Products. Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 911114. http://dx.doi.org/10.1117/12.2053187
  12. Cayula, J.F.P., Arnone, R., Vandermeulen, R.A., 2014. Comparison of VIIRS SST fields obtained from differing SST equations applied to a region covering the Northern Gulf of Mexico and Western North Atlantic. Proc. SPIE 9111, Ocean Sensing and Monitoring VI, 911110. http://dx.doi.org/10.1117/12.2053435
  13. Arnone, R., Ladner, S., Fargion, M., Martinolich, P., Vandermeulen, R.A., Bowers, J., Lawson, A., 2013. Monitoring Bio-Optical Processes Using NPP-VIIRS And MODIS-Aqua Ocean Color Products. Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240Q. http://dx.doi.org/10.1117/12.2018180
  14. Vandermeulen, R.A., Arnone, R., Ladner, S., Martinolich, P., 2013. Improved monitoring of bio-optical processes in coastal and inland waters using high spatial resolution channels on SNPP-VIIRS sensor. Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240O. http://dx.doi.org/10.1117/12.2018108
  15. Davis, C.O., Tufillaro, N., Nahorniak, J., Jones, B., Arnone, R., 2013.Evaluating VIIRS Ocean Color Products for West Coast and Hawaiian Waters. Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240J. http://dx.doi.org/10.1117/12.2016177
  16. McBride, W., Arnone, R., Cayula, J.F., 2013. Improvements of Satellite SST Retrievals at Full Swath. Proc. SPIE 8724, Ocean Sensing and Monitoring V, 87240R. http://dx.doi.org/10.1117/12.2016177
  17. Arnone, R., Fargion, M., Martinolich, P., Ladner, S., et al., 2012. Validation of the VIIRS Ocean color. Proc. SPIE 8372, Ocean Sensing and Monitoring IV, 83720G. http://dx.doi.org/10.1117/12.922949
  18. Davis, C.O., Tufillaro, N., Jones, B., Arnone, R., 2012.Automated ocean color product validation for the Southern California Bight. Proc. SPIE 8372, Ocean Sensing and Monitoring IV, 83720J. http://dx.doi.org/10.1117/12.920617
  19. Pennucci, G., Fargion, G., Alvarez, A., Trees, C., Arnone, R., 2012. A methodology for calibration of hyperspectral and multispectral satellite data in coastal areas. Proc. SPIE 8372, Ocean Sensing and Monitoring IV, 83720K. http://dx.doi.org/10.1117/12.920464
  20. Arnone, R., Derada, S., Ladner, S., Trees, C., 2012. Probing the subsurface ocean processes using ocean LIDARS. Proc. SPIE 8372, Ocean Sensing and Monitoring IV, 83720O. http://dx.doi.org/10.1117/12.9201103
  21. Lee, Z., Franz, B., Shang, S., Dong, Q., Arnone, R., 2011. Some insights of spectral optimization in ocean color inversion. Proc. of SPIE Vol. 8175 817508-11

Cruise/Technical Reports

  

  1. Ondrusek, M., Arnone, R. et al., 2015.  Report for Dedicated JPSS VIIS Ocean Color Calibration / Validation Cruise. NOAA Technical Report NESDIS 146.  DOI: 10.7289/V52B8W0Z http://docs.lib.noaa.gov/noaa_documents/NESDIS/TR_NESDIS/TR_NESDIS_146.pdf

 

OWX Poster Presentations

 

  1. Arnone, R., Vandermeulen, R., Ladner, S., Goode, W., Ondrusek, M., Goes, J., 2015. VIIRS ocean color validation in the Gulf Stream: Nancy Foster Cruise. 2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  2. Arnone, R., Vandermeulen, R., Ladner, S., 2015. Ocean Color Product Stability using VIIRS Orbital Overlap Monthly Trends.  2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  3. Arnone, R., Vandermeulen, R., Ladner, S., 2015. Characterizing the diurnal changes in coastal waters for VIIRS ocean color validation. 2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  4. Ladner, S., Arnone, R., Martinolich, P., Bowers,J., Lawson, A., Vandermeulen, R., Crout, R., 2015. Temporal Assessment of the Calibration and Accuracy of VIIRS Radiometric (SDR) and Ocean Color Products (EDR) at MOBY (Standard Cal/Val Site) and WavCIS (Aeronet-OC). 2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  5. Vandermeulen, R., Arnone, R., Ladner, S., Martinolich, P., 2015. Using the VIIRS I-1 band to enhance monitoring of coastal waters. 2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  6. Arnone, R., Vandermeulen, R., Soto, I., Martin, K., 2015. Applications of VIIRS ocean color for real time adaptive sampling.  2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  7. Arnone, R., Vandermeulen, R., Ignatov, A., Cayula, J.F., 2015. Seasonal trends of ACSPO VIIRS SST product characterized by the differences in orbital overlaps for various waters types. 2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015. http://www.star.nesdis.noaa.gov/star/meeting_2015JPSSAnnual_posters.php
  8. Arnone, R., Vandermeulen, R., Yang, H., 2015. Characterizing the diurnal changes in coastal bio-optical properties. International Ocean Colour Science, San Francisco, 15-18 June 2015.  http://www.eposters.net/pdfs/characteizing-the-diurnal-changes-in-cosatal-bio-optical-properties-.pdf
  9. Lance, V.P., Ondrusek, M., Arnone, R., et al., 2015. Dedicated NOAA/VIIRS Ocean Color Calibration/Validation Cruise: Cruise objectives and scope of observations. International Ocean Colour Science, San Francisco, 15-18 June 2015. http://www.eposters.net/pdfs/dedicated-noaaviirs-ocean-color-calibrationvalidation-cruise-cruise-objectives-and-scope-of.pdf
  10. Soto, I., Arnone, R., Cambazoglu, M.K., Jacobs, G., Vandermeulen, R.A., Howden, S., 2016.  Coupling a High Resolution Circulation Model, Ocean Color Satellite Imagery and Field Data to Characterize the 3-Dimensional Mississippi River Plume. 2016 Gulf of Mexico Oil Spill & Ecosystem Science Conference, Tampa, Florida. February 1-4, 2016.
  11. Cambazoglu, M.K., Jacobs, G.A., Howden, S.D., Book, J.W., Arnone, R.A., Greer, A.T., Soto, I., Vandermeulen, R.A., Miles, T., 2016.Examining Internal Waves on the Northern Gulf of Mexico Continental Shelf with Navy Coastal Ocean Model, NCOM. 2016 Gulf of Mexico Oil Spill & Ecosystem Science Conference, Tampa, Florida. February 1-4, 2016.
  12. Vandermeulen, R.A., Arnone, R.A., Soto, I., Bernard, L., Howard, M., Martin, K., 2016. AUV Jubilee 2015: An Exercise in Adaptive Sampling Using Integrated Ocean Observations. 2016 Gulf of Mexico Oil Spill & Ecosystem Science Conference, Tampa, Florida. February 1-4, 2016.
  13. Soto, I., Arnone, R., Cambazoglu, M.K., Jacobs, G., Vandermeulen, R.A., Howden, S., 2016.  Characterization of the 3-Dimensional Mississippi River Plume using a high resolution circulation model coupled with ocean color imagery and field data.  2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.
  14. Cambazoglu, M.K., Jacobs, G.A., Howden, S.D., Book, J.W., Arnone, R.A., Greer, A.T., Soto, I., Vandermeulen, R.A., Miles, T., 2016. Spatio-temporal variability of internal waves in the northern Gulf of Mexico studied with the Navy Coastal Ocean Model, NCOM. 2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.

 

OWX Oral Presentations

 

  1. Arnone, R., Vandermeulen, R.A., Soto, I., Cambazoglu, M.K., Howden, S., Jacobs, G.,  Book, J., Miles, T., Weidemann,  A., 2016. Defining dynamic bio-optical physical events across the Miss Shelf and the influence of fresh water plumes. 2016 Gulf of Mexico Oil Spill & Ecosystem Science Conference, Tampa, Florida. February 1-4, 2016.  
  2. Arnone, R., Vandermeulen, R., Ladner, S., 2015. Evaluation of VIIRS ocean color products and development of enhanced ocean products and applications.  2015 JPSS Annual Science Team Meeting, College Park, MD. August 24-28, 2015.
  3. Arnone, R., Vandermeulen, R., Soto, I., Cambazoglu, M.K., Jacobs, G., Howden, S., Weidemann, A., 2016.  Ocean Weather - Interaction of physical and bio-optical processes across a river plume dominated shelf in the Gulf of Mexico.  2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.
  4. Vandermeulen, R., Arnone, R., et al., Thinking outside of the blue marble: novel ocean applications using the VIIRS Sensor. 2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.
  5. Bowers, J., Ladner, S., Martinolich, P., Arnone, R., et al., 2016. Investigating the Effects of Variable water Type for VIIRS calibration. 2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.
  6. Ondrusek, M., Arnone, R., Lee, A., et al., 2016. Variability in Ocean color Validation Measurements during the November 2014 NOAA VIIRS Cal/Val Cruise. 2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.
  7. Jenkins, C., Goes, J., Gomes, H., Chekalyuk, A., Arnone, R., 2016. Community composition, biomass and photosynthetic competency of phytoplankton associated with microscale features and frontal zones on the Gulf Stream. 2016 Ocean Sciences Meeting, New Orleans, Louisiana. February 21-26, 2016.