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Shin, D. W., & Ahn, J. B. (2002). Adaptive Use of TRMM Observations for Tropical Precipitation Forecasts. Jmsj, 80(1), 85–97.
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Shropshire, T., Morey, S. L., Chassignet, E. P., Bozec, A., Coles, V. J., Landry, M. R., et al. (2019). Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical-biogeochemical model.
Abstract: Zooplankton play an important role in global biogeochemistry and their secondary production supports valuable fisheries of the world's oceans. Currently, zooplankton abundances cannot be estimated using remote sensing techniques. Hence, coupled physical-biogeochemical models (PBMs) provide an important tool for studying zooplankton on regional and global scales. However, evaluating the accuracy of zooplankton abundance estimates from PBMs has been a major challenge as a result of sparse observations. In this study, we configure a PBM for the Gulf of Mexico (GoM) from 1993�2012 and validate the model against an extensive combination of in situ biomass and rate measurements including total mesozooplankton biomass, size-fractionated mesozooplankton biomass and grazing rates, microzooplankton specific grazing rates, surface chlorophyll, deep chlorophyll maximum depth, phytoplankton specific growth rates, and net primary production. Spatial variability in mesozooplankton biomass climatology observed in a multi-decadal database for the northern GoM is well resolved by the model with a statistically significant (p < 0.01) correlation of 0.90. Mesozooplankton secondary production for the region averaged 66 + 8 mt C yr−1 equivalent to approximately 10 % of NPP and ranged from 51 to 82 mt C yr−1. In terms of diet, model results from the shelf regions suggest that herbivory is the dominant feeding mode for small mesozooplankton (< 1-mm) whereas larger mesozooplankton are primarily carnivorous. However, in open-ocean, oligotrophic regions, both groups of mesozooplankton have proportionally greater reliance on heterotrophic protists as a food source. This highlights the important role of microbial and protistan food webs in sustaining mesozooplankton biomass in the GoM which serves as the primary food source for early life stages of many commercially-important fish species, including tuna.
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Siefridt, L., Barnier, B., Legler, D. M., & O'Brien, J. J. (1998). 5-day average wind over North-West Atlantic from ERS1 using a variational analysis. Global Atmosphere and Ocean System, 5, 317–344.
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Smith, S. R. (2007). Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative. In Report for 4rd session of the JCOMM Ship Observation Team meeting, 16-21 April 2007, Geneva, Switzerland (2).
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Smith, S. R. (2006). Progress of the Shipboard Automated Meteorological and Oceanographic System (SAMOS) initiative. Climate Observation Program 4th Annual System Review, NOAA, Silver Spring, MD, USA.
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Smith, S. R. (2006). A Comparison of SAMOS and Bridge Observations on Research Vessels. In 1st Joint GOSUD SAMOS Workshop, NOAA, Boulder, CO, USA.
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Smith, S. R. (2006). Collaboration between Shipboard Oceanic and Atmospheric Data Programs. EOS, 87, 463,466.
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Smith, S. R. (2005). Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative. 3rd Session of the JCOMM Ship Observation Team. World Meteorological Organization.
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