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3 results for “shipborne”
Shipborne ADCP data in the Thwaites Gyre region, 2019
<p>This dataset contains the velocity profiles in the Thwaites Gyre region collected by the shipborne Acoustic Doppler Current Profiler (ADCP) onboard RV Nathaniel B Palmer in 2019 under the project Thwaites-Amundsen Regional Survey and Network Integrating Atmosphere-Ice-Ocean Processes (TARSAN). Ocean current velocities over the upper 980 m of the water column were obtained using a 75 kHz Ocean Surveyor (OS75) and a 38 kHz Ocean Surveyor (OS38) shipboard Acoustic Doppler Current Profiler (sADCP). Common Ocean Data Access System (CODAS) processing has been run to generate the NetCDF files. The authors made additional quality control including, 1. removing data with velocity values higher than 0.6 m/s and other obvious outliners, and 2. removing data below 400 m for OS75 and data below 760 m for OS38 as the last several levels in the velocity profiles are believed to be potentially affected by the water turbidity and bubbles passing below the sADCP etc. The data are stored in .txt format and .mat MATLAB format.</p>
Baltic Sea shipborne Hyperspectral Reflectance data from 2016
<p>Hyperspectral Remote-sensing reflectance data collected by the Finnish Environment Institute (SYKE) within the BONUS FerryScope project, analysed (quality checks and spectral filtering) at the Plymouth Marine Laboratory. Methods initially described in:</p> <p>The data were collected from merchant vessels Finnmaid (Finnlines) and Transpaper (Transatlantic). This data set is limited to records for the year 2016. </p> <p>Field data collection and processing:</p> <p>Simis, S.G.H., & Olsson, J. (2013). Unattended processing of shipborne hyperspectral reflectance measurements. Remote Sensing of Environment, 135, 202–212</p> <p>Data quality control: </p> <p>Qin, P., Simis, S.G.H., & Tilstone, G.H. (2017). Radiometric validation of atmospheric correction for MERIS in the Baltic Sea based on continuous observations from ships and AERONET-OC. Remote Sensing of Environment, 200, 263-280</p> <p> </p> <p>Data specification</p> <p>lat, lon - geographical latitude/longitude coordinates in decimal degrees</p> <p>time - timestamp (date+time) in UTC following ISO 8601 notation. </p> <p>(The location and time fields correspond to the start of a measurement)</p> <p>Rrs_001_3233 .... Rrs_193_9536 - Remote-sensing reflectance (Rrs, units 1/sr). The sequential numbering (1-193) denotes band number, the last term is wavelength x 10 in nm. For example Rrs_001_3233 is the 1st band centred at 323.3 nm. The wavebands approximate the native resolution of the 3-sensor system (TriOS Ramses ARC + ACC units) used to collect radiance and irradiance spectra of the sea surface and sky. </p> <p>Contributions:</p> <p>Stefan Simis, Jenni Attila, Mikko Kervinen, Kari Kallio, Sampsa Koponen, Sakari Väkevä maintained the in situ system.</p> <p>Stefan Simis developed the code to process the (ir)radiance data to Remote-sensing reflectance.</p> <p>Mikko Kervinen and Stefan Simis maintained the operational processing system</p> <p>Ping Qin analysed multi-year observation records and developed quality-control filters</p> <p>Silvia Pardo and Gavin Tilstone analysed the data against satellite sensor records. </p>
Shipborne measurements of ClNO2 in the Mediterranean Sea and around the Arabian Peninsula during summer
<p>Time series of trace gas mixing ratios and other parameters used in this study</p>
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