COAPS Virtual Library (Publications)

Vinayachandran, P. N., Davidson, F., & Chassignet, E. P. (2020). Towards joint assessments, modern capabilities and new links for ocean prediction systems. Bull. Amer. Meteor. Soc., 101(4). Abstract: Approximately 260 individuals from forecasting centers, research laboratories, academia, and industry representing 40 countries met to discuss recent developments in operational oceanography and brainstorm about the future directions of ocean prediction services. https://www.coaps.fsu.edu/bibliography/show.php?record=1091
Wallcraft, A. J., Kara, A. B., Barron, C. N., Metzger, E. J., Pauley, R. L., & Bourassa, M. A. (2009). Comparisons of monthly mean 10 m wind speeds from satellites and NWP products over the global ocean. J. Geophys. Res., 114(D16). https://www.coaps.fsu.edu/bibliography/show.php?record=387
Wang, S., Kranz, S. A., Kelly, T. B., Song, H., Stukel, M. R., & Cassar, N. (2020). Lagrangian Studies of Net Community Production: The Effect of Diel and Multiday Nonsteady State Factors and Vertical Fluxes on O₂/Ar in a Dynamic Upwelling Region. J. Geophys. Res. Biogeosci., 125(6), e2019JG005569. Abstract: The ratio of dissolved oxygen to argon in seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O2/Ar‐based method accounts for many physical factors that influence oxygen concentrations, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed‐layer O2/Ar budget, most notably the absence of vertical fluxes of O2/Ar and the principle that the air‐sea gas exchange of biological oxygen closely approximates net productivity rates. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a �worst‐case� field environment. Quantifying vertical fluxes, incorporating nonsteady state changes in O2/Ar, and comparing NCP estimates evaluated over several day versus longer timescales, we find differences in NCP metrics calculated over different time intervals to be considerable, also observing significant potential effects from vertical fluxes, particularly advection. Additionally, we observe strong diel variability in O2/Ar and NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O2/Ar‐derived NCP data and the potentially large effect of nonsteady state conditions on NCP evaluated over shorter timescales. In addition, diel cycles in surface O2/Ar can also bias interpretation of NCP data based on local productivity and the time of day when measurements were made. Keywords: net community production; O2/Ar; California Current Ecosystem; Lagrangian measurements; vertical fluxes; nonsteady state https://www.coaps.fsu.edu/bibliography/show.php?record=1114
Weissman, D. E., Apgar, G., Tongue, J. S., & Bourassa, M. A. (2005). Corrections to the SeaWinds scatterometer wind vectors by removing rain effects. Bulletin of the American Meteorological Society, 86, 621–622. https://www.coaps.fsu.edu/bibliography/show.php?record=907
Weissman, D. E., & Bourassa, M. A. (2009). The combined effect of surface rain and wind on scatterometer observations of surface roughness. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Cape Town, South Africa (I-pp. 108– I-111). https://www.coaps.fsu.edu/bibliography/show.php?record=674
Weissman, D. E., & Bourassa, M. A. (2008). Measurements of the Effect of Rain-induced Sea Surface Roughness on the Satellite Scatterometer Radar Cross Section. In XXIX General Assembly of the International Union of Radio Science, Union of Radio Science International (Vol. 4). https://www.coaps.fsu.edu/bibliography/show.php?record=690
Weissman, D. E., Bourassa, M. A., & Tongue, J. (1999). Relationship between QuikSCAT wind speed errors and rain rate using simultaneous, collocated NEXRAD data. In Arcadia, CA, USA. https://www.coaps.fsu.edu/bibliography/show.php?record=787
Weissman, D. E., & Bourassa, M. A. (2008). Measurements of the Effect of Rain-Induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section. IEEE Trans. Geosci. Remote Sensing, 46(10), 2882–2894. https://www.coaps.fsu.edu/bibliography/show.php?record=681
Weissman, D. E., Bourassa, M. A., O'Brien, J. J., & Tongue, J. S. (2003). Calibrating the quikscat/seawinds radar for measuring rainrate over the oceans. IEEE Trans. Geosci. Remote Sensing, 41(12), 2814–2820. Keywords: Next Generation Weather Radar (NEXRAD); precipitation; radar reflectivity; scatterometer normalized radar cross section (NRCS); space-based radar; Tropical Rain Measuring Mission (TRMM) https://www.coaps.fsu.edu/bibliography/show.php?record=468
Weissman, D. E., Bourassa, M. A., & Tongue, J. (2002). Effects of Rain Rate and Wind Magnitude on SeaWinds Scatterometer Wind Speed Errors. J. Atmos. Oceanic Technol., 19(5), 738–746. https://www.coaps.fsu.edu/bibliography/show.php?record=830

Vinayachandran, P. N., Davidson, F., & Chassignet, E. P. (2020). Towards joint assessments, modern capabilities and new links for ocean prediction systems. Bull. Amer. Meteor. Soc., 101(4).

Wallcraft, A. J., Kara, A. B., Barron, C. N., Metzger, E. J., Pauley, R. L., & Bourassa, M. A. (2009). Comparisons of monthly mean 10 m wind speeds from satellites and NWP products over the global ocean. J. Geophys. Res., 114(D16).

Wang, S., Kranz, S. A., Kelly, T. B., Song, H., Stukel, M. R., & Cassar, N. (2020). Lagrangian Studies of Net Community Production: The Effect of Diel and Multiday Nonsteady State Factors and Vertical Fluxes on O₂/Ar in a Dynamic Upwelling Region. J. Geophys. Res. Biogeosci., 125(6), e2019JG005569.

Abstract: The ratio of dissolved oxygen to argon in seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O2/Ar‐based method accounts for many physical factors that influence oxygen concentrations, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed‐layer O2/Ar budget, most notably the absence of vertical fluxes of O2/Ar and the principle that the air‐sea gas exchange of biological oxygen closely approximates net productivity rates. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a �worst‐case� field environment. Quantifying vertical fluxes, incorporating nonsteady state changes in O2/Ar, and comparing NCP estimates evaluated over several day versus longer timescales, we find differences in NCP metrics calculated over different time intervals to be considerable, also observing significant potential effects from vertical fluxes, particularly advection. Additionally, we observe strong diel variability in O2/Ar and NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O2/Ar‐derived NCP data and the potentially large effect of nonsteady state conditions on NCP evaluated over shorter timescales. In addition, diel cycles in surface O2/Ar can also bias interpretation of NCP data based on local productivity and the time of day when measurements were made.

Keywords: net community production; O2/Ar; California Current Ecosystem; Lagrangian measurements; vertical fluxes; nonsteady state

https://www.coaps.fsu.edu/bibliography/show.php?record=1114

Weissman, D. E., Apgar, G., Tongue, J. S., & Bourassa, M. A. (2005). Corrections to the SeaWinds scatterometer wind vectors by removing rain effects. Bulletin of the American Meteorological Society, 86, 621–622.

Weissman, D. E., & Bourassa, M. A. (2009). The combined effect of surface rain and wind on scatterometer observations of surface roughness. In 2009 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Cape Town, South Africa (I-pp. 108– I-111).

Weissman, D. E., & Bourassa, M. A. (2008). Measurements of the Effect of Rain-induced Sea Surface Roughness on the Satellite Scatterometer Radar Cross Section. In XXIX General Assembly of the International Union of Radio Science, Union of Radio Science International (Vol. 4).

Weissman, D. E., Bourassa, M. A., & Tongue, J. (1999). Relationship between QuikSCAT wind speed errors and rain rate using simultaneous, collocated NEXRAD data. In Arcadia, CA, USA.

Weissman, D. E., & Bourassa, M. A. (2008). Measurements of the Effect of Rain-Induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section. IEEE Trans. Geosci. Remote Sensing, 46(10), 2882–2894.

Weissman, D. E., Bourassa, M. A., O'Brien, J. J., & Tongue, J. S. (2003). Calibrating the quikscat/seawinds radar for measuring rainrate over the oceans. IEEE Trans. Geosci. Remote Sensing, 41(12), 2814–2820.

Weissman, D. E., Bourassa, M. A., & Tongue, J. (2002). Effects of Rain Rate and Wind Magnitude on SeaWinds Scatterometer Wind Speed Errors. J. Atmos. Oceanic Technol., 19(5), 738–746.

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