Radiometric field inter-comparison of fiducial reference measurements using an open source community processor

A radiometric field intercomparison was conducted at the Acqua Alta Oceanographic Tower (AAOT) in the Adriatic Sea from 14 to 21 July 2022 to assess differences in the accuracy of above-water radiometer systems (Sea-Bird HyperSAS, pySAS, TriOS-RAMSES) processed using an open-source community processor (HyperCP). Class-based and sensor-specific characteristics of the radiometers were used to determine the quantities <i>E</i><sub><i>d</i></sub>(<i>λ</i>), <i>L</i><sub><i>sky</i></sub>(<i>λ</i>), <i>L</i><sub><i>t</i></sub>(<i>λ</i>) and <i>R</i><sub><i>rs</i></sub>(<i>λ</i>), and their associated uncertainties. Using sensor-specific characteristics, the differences among systems were 2% for <i>E</i><sub><i>d</i></sub>(<i>λ</i>), <i>L</i><sub><i>sky</i></sub>(<i>λ</i>), <i>L</i><sub><i>t</i></sub>(<i>λ</i>) and 2.5% for <i>R</i><sub><i>rs</i></sub>(<i>λ</i>) and the uncertainties were 1.5%, 2%, 1.5% and 5%, respectively. The differences were higher when using class-based characteristics. <i>L</i><sub><i>wn</i></sub>(<i>λ</i>) values were also compared to the above-water AERONET-OC SeaPRiSM and in-water HyperPro II. For SeaPRiSM, the differences and uncertainties were <5% over blue and green bands when using Mobley [App. Opt.38, 7442 (1999)10.1364/AO.38.007442] sea surface reflectance factors (ρ) and no NIR correction. For HyperPro II the differences were larger but were reduced when <i>R</i><sub><i>rs</i></sub>(<i>λ</i>) from the above-water systems was computed using ρ from Zhang et al. [Opt. Express25, A1 (2017)10.1364/OE.25.0000A1] with similarity (sim) spectrum (spec) NIR correction. HyperCP using sensor-specific characteristics is highly recommended to reduce the associated uncertainties and to produce the highest quality data for satellite OC validation.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-03-14
DOI
https://doi.org/10.1364/oe.551042
Citations
2
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
2.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiometric field inter-comparison of fiducial reference measurements using an open source community processor

Martin Ligi, Giorgio Dall’Olmo, Juan Ignacio Gossn, Viktor Vabson et al.
2 citations
Optics Express
Meteorological Phenomena and Simulations
2.60
article

Radiometric field inter-comparison of fiducial reference measurements using an open source community processor

Martin Ligi, Giorgio Dall’Olmo, Juan Ignacio Gossn, Viktor Vabson, Gavin H. Tilstone, Agnieszka Białek, Martin Hieronymi, Dirk Aurin, A.J. Ramsay, Charles Kovach, Ewa Kwiatkowska, Michael Ondrusek, Riho Vendt, Thomas Jordan, Alexis Déru, Giuseppe Zibordi, Ilmar Ansko
article en
2 citations

Abstract

A radiometric field intercomparison was conducted at the Acqua Alta Oceanographic Tower (AAOT) in the Adriatic Sea from 14 to 21 July 2022 to assess differences in the accuracy of above-water radiometer systems (Sea-Bird HyperSAS, pySAS, TriOS-RAMSES) processed using an open-source community processor (HyperCP). Class-based and sensor-specific characteristics of the radiometers were used to determine the quantities <i>E</i><sub><i>d</i></sub>(<i>λ</i>), <i>L</i><sub><i>sky</i></sub>(<i>λ</i>), <i>L</i><sub><i>t</i></sub>(<i>λ</i>) and <i>R</i><sub><i>rs</i></sub>(<i>λ</i>), and their associated uncertainties. Using sensor-specific characteristics, the differences among systems were 2% for <i>E</i><sub><i>d</i></sub>(<i>λ</i>), <i>L</i><sub><i>sky</i></sub>(<i>λ</i>), <i>L</i><sub><i>t</i></sub>(<i>λ</i>) and 2.5% for <i>R</i><sub><i>rs</i></sub>(<i>λ</i>) and the uncertainties were 1.5%, 2%, 1.5% and 5%, respectively. The differences were higher when using class-based characteristics. <i>L</i><sub><i>wn</i></sub>(<i>λ</i>) values were also compared to the above-water AERONET-OC SeaPRiSM and in-water HyperPro II. For SeaPRiSM, the differences and uncertainties were <5% over blue and green bands when using Mobley [App. Opt.38, 7442 (1999)10.1364/AO.38.007442] sea surface reflectance factors (ρ) and no NIR correction. For HyperPro II the differences were larger but were reduced when <i>R</i><sub><i>rs</i></sub>(<i>λ</i>) from the above-water systems was computed using ρ from Zhang et al. [Opt. Express25, A1 (2017)10.1364/OE.25.0000A1] with similarity (sim) spectrum (spec) NIR correction. HyperCP using sensor-specific characteristics is highly recommended to reduce the associated uncertainties and to produce the highest quality data for satellite OC validation.

Optics ExpressVol. 33(7)
Goddard Space Flight Center (US), National Physical Laboratory (GB), Southeastern Universities Research Association (US), European Organisation for the Exploitation of Meteorological Satellites (DE), NOAA National Environmental Satellite Data and Information Service (US), NOAA Center for Satellite Applications and Research (US), Carbon180 (US), National Institute of Oceanography and Applied Geophysics (IT), University of Tartu (EE)
National Aeronautics and Space Administration, European Organization for the Exploitation of Meteorological Satellites, Natural Environment Research Council
Openalex Percentile: Top 13%
Meteorological Phenomena and Simulations
2.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.