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1. Stratospheric Temperature and Ozone Anomalies Associated With the 2020 Australian New Year Fires

   https://doi.org/10.1029/2021GL095898  

   Rieger, L. A.; Randel, W. J.; Bourassa, A. E.; Solomon, S. (December 2021, Geophysical Research Letters)
2. A 5-year Validated Nitrate Dataset from the Ocean Observatories Initiative Pioneer - New England Shelf Array

   https://doi.org/10.5281/zenodo.14908032  

   Reed, Andrew (January 2025, Zenodo)

   The Ocean Observatories Initiative (OOI) deployed both the In-Situ Ultraviolet Spectrophotometer (ISUS) and Submersible Underwater Nitrate Sensor (SUNA) for continuous, in-situ measurement of nitrate. At the Pioneer-New England Shelf Array (Pioneer-NES), ISUS/SUNA sensors were deployed at 7-meters depth at the Inshore (ISSM), Central (CNSM), and Offshore (OSSM) Surface Mooring locations. The SUNA sensor replaced the ISUS sensors spring 2018. The SUNA was a major improvement in technology, with significant improvements in accuracy and precision. However, it still suffers from calibration drift due to lamp fatigue and biofouling as well as spectral interference due to bromide and fluorometric CDOM. Drift is corrected by application of post-cruise calibrations to recalculate the temperature-and-salinity corrected nitrate concentration following Sakamoto (2009a) and estimating a linear drift between pre-and-post cruise deployments. Validation is performed by comparison with discrete water samples collected during deployment/recovery of the sensors. These datasets include the nitrate data from the Pioneer-NES ISSM (CP03ISSM-RID26-07-NUTNRB000.nc), CNSM (CP01CNSM-RID26-07-NUTNRB000.nc), and OSSM (CP04OSSM-RID26-07-NUTNRB000.nc) SUNA instruments spanning Spring 2018 through Fall 2022. Each dataset contains the measured nitrate, the temperature-salinity corrected nitrate, the drift-corrected nitrate, and the nitrate following validation with bottle samples. 

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3. Extreme events driving year-to-year differences in gross primary productivity across the US

   https://doi.org/10.5194/bg-18-6579-2021  

   Turner, Alexander J.; Köhler, Philipp; Magney, Troy S.; Frankenberg, Christian; Fung, Inez; Cohen, Ronald C. (January 2021, Biogeosciences)

   Abstract. Solar-induced chlorophyll fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP); however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF–GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500 m spatial resolution over a 16 d moving window. We observe four extreme precipitation events that induce regional GPP anomalies: drought in western Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28 % of the year-to-year GPP differences across CONUS. Despite these large regional anomalies, we find that CONUS GPP varies by less than 4 % between 2018 and 2019. 

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4. Repeatability testing of a new Hybrid III 6-year-old ATD lower extremity

   https://doi.org/10.1080/15389588.2017.1318211  

   Boucher, Laura C.; Ryu, Yeonsu; Kang, Yun-Seok; Bolte, John H. (March 2017, Traffic Injury Prevention)
5. A Year in the Changing Arctic Sea Ice

   https://doi.org/10.5670/oceanog.2022.126  

   Shupe, Matthew; Rex, Markus (January 2022, Oceanography)

   Faced with a declining summer sea ice extent, enhanced warming relative to the rest of the globe, altered ecosystem dynamics, shifts in circulation and hydrological patterns, amplifying feedbacks, and potential looming tipping points, the Arctic system is in a transitional state that is at the epicenter of global climate change. As the Arctic transforms, we are challenged to understand the processes involved and to construct the tools and models that will help us predict and manage those changes as they continue to evolve in coming decades. It is upon this backdrop of rapid change that the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC 2019–2020) expedition ventured into the central Arctic sea ice (Shupe et al., 2020). It was an expedition to collect sorely needed observations and to examine the changing Arctic in a new way, with an unprecedented level of detail. 

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