Frontiers in Marine Science (May 2024)

Ocean surface radiation measurement best practices

  • Laura D. Riihimaki,
  • Laura D. Riihimaki,
  • Meghan F. Cronin,
  • Raja Acharya,
  • Nathan Anderson,
  • Nathan Anderson,
  • John A. Augustine,
  • Kelly A. Balmes,
  • Kelly A. Balmes,
  • Patrick Berk,
  • Patrick Berk,
  • Roberto Bozzano,
  • Anthony Bucholtz,
  • Kenneth J. Connell,
  • Christopher J. Cox,
  • Alcide G. di Sarra,
  • James Edson,
  • C. W. Fairall,
  • J. Thomas Farrar,
  • Karen Grissom,
  • Maria Teresa Guerra,
  • Verena Hormann,
  • K Jossia Joseph,
  • Christian Lanconelli,
  • Frederic Melin,
  • Daniela Meloni,
  • Matteo Ottaviani,
  • Sara Pensieri,
  • K. Ramesh,
  • David Rutan,
  • Nikiforos Samarinas,
  • Shawn R. Smith,
  • Sebastiaan Swart,
  • Sebastiaan Swart,
  • Amit Tandon,
  • Elizabeth J. Thompson,
  • R. Venkatesan,
  • Raj Kumar Verma,
  • Vito Vitale,
  • Katie S. Watkins-Brandt,
  • Robert A. Weller,
  • Christopher J. Zappa,
  • Dongxiao Zhang,
  • Dongxiao Zhang

DOI
https://doi.org/10.3389/fmars.2024.1359149
Journal volume & issue
Vol. 11

Abstract

Read online

Ocean surface radiation measurement best practices have been developed as a first step to support the interoperability of radiation measurements across multiple ocean platforms and between land and ocean networks. This document describes the consensus by a working group of radiation measurement experts from land, ocean, and aircraft communities. The scope was limited to broadband shortwave (solar) and longwave (terrestrial infrared) surface irradiance measurements for quantification of the surface radiation budget. Best practices for spectral measurements for biological purposes like photosynthetically active radiation and ocean color are only mentioned briefly to motivate future interactions between the physical surface flux and biological radiation measurement communities. Topics discussed in these best practices include instrument selection, handling of sensors and installation, data quality monitoring, data processing, and calibration. It is recognized that platform and resource limitations may prohibit incorporating all best practices into all measurements and that spatial coverage is also an important motivator for expanding current networks. Thus, one of the key recommendations is to perform interoperability experiments that can help quantify the uncertainty of different practices and lay the groundwork for a multi-tiered global network with a mix of high-accuracy reference stations and lower-cost platforms and practices that can fill in spatial gaps.

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