A New Version of the SOLAR-ISS Spectrum Covering the 165 – 3000 nm Spectral Region

Meftah, Mustapha; Damé, Luc; Bolsée, David; Pereira, Nuno; Snow, M.; Weber, Mark; Bramstedt, K.; Hilbig, Tina; Cessateur, Gaël; Boudjella, Manal Y.; Marchand, Marion; Lefèvre, Franck; Thiéblemont, Rémi; Sarkissian, Alain; Hauchecorne, Alain; Keckhut, Philippe; Bekki, Slimane

doi:10.1007/s11207-019-1571-y

Cited by 14 publications

(24 citation statements)

References 32 publications

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“…Version 2 of the SOLAR-ISS solar irradiance reference spectrum is a composite spectrum that spans 0.165 to 3.0 µm [43]. The baseline irradiance level of the composite reference spectrum and its original version (v1.1), at approximately 0.6 to 9.5 nm spectral resolution, were derived from the SOLSPEC observations on the SOLAR payload of the International Space Station (ISS) from April 2008 observations for 0.165 to 0.656 µm [44] and a multi-year average (2010 through 2016) for 0.656 to 3.0 µm [45] as described in Meftah et al [46].…”

Section: Solar-iss Versionmentioning

confidence: 99%

Quantifying the Impact of Solar Spectra on the Inter-Calibration of Satellite Instruments

et al. 2021

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In satellite-based remote sensing applications, the conversion of the sensor recorded top-of-atmosphere reflectance to radiance, or vice-versa, is carried out using a reference spectral solar irradiance (SSI) dataset. The choice of reference SSI spectrum has consistently changed over the past four decades with the increasing availability of more accurate SSI measurements with greater spectral coverage. Considerable differences (up to 15% at certain wavelengths) exist between the numerous SSI spectra that are currently being used in satellite ground processing systems. The aim of this study is to quantify the absolute differences between the most commonly used SSI datasets and investigate their impact in satellite inter-calibration and environmental retrievals. It was noted that if analogous SNPP and NOAA-20 VIIRS channel reflectances were perfectly inter-calibrated, the derived channel radiances can still differ by up to 3% due to the utilization of differing SSI datasets by the two VIIRS instruments. This paper also highlights a TSIS-1 SIM-based Hybrid Solar Reference Spectrum (HSRS) with an unprecedented absolute accuracy of 0.3% between 460 and 2365 nm, and recommends that the remote sensing community use it as a common reference SSI in satellite retrievals.

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Section: Solar-iss Versionmentioning

confidence: 99%

Quantifying the Impact of Solar Spectra on the Inter-Calibration of Satellite Instruments

et al. 2021

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“…A second independent set consisting of the SOLar SPECtrometer (SOLSPEC) instrument (Thuillier et al, 2009) of the SOLAR payload on board the International Space Station (ISS) performed accurate measurements of the SSI (165 to 3000 nm) between April 5, 2008and February 10, 2017(Meftah et al, 2016Bolsée et al, 2017;Meftah et al, 2018; A&A proofs: manuscript no. "SOLAR-ISSv - Meftah et al -2020-10-10_V3_corr" 02-Apr-2008 15 Normalized uncorrected irradiance [-] Raw data (165-180 nm) Raw data (180-200 nm) Raw data (200-242 nm) Raw data (242-300 nm) Raw data (400-600 nm) Raw data (700-3000 nm) 2 1 Fig. 1: Evolution of SOLAR/SOLSPEC normalized irradiance as a function of time for di↵erent wavelengths (raw data without degradation correction).…”

Section: Introductionmentioning

confidence: 99%

SOLAR-v: A new solar spectral irradiance dataset based on SOLAR/SOLSPEC observations during solar cycle 24

Meftah

Snow

Damé

et al. 2020

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Context. Solar spectral irradiance (SSI) is the wavelength-dependent energy input to the top of the Earth's atmosphere. Solar ultraviolet (UV) irradiance represents the primary forcing mechanism for the photochemistry, heating, and dynamics of the Earth's atmosphere. Hence, both temporal and spectral variations in solar UV irradiance represent crucial inputs to the modeling and understanding of the behavior of the Earth's atmosphere. Therefore, measuring the long-term solar UV irradiance variations over the 11-year solar activity cycle (and over longer timescales) is fundamental. Thus, each new solar spectral irradiance dataset based on long-term observations represents a major interest and can be used for further investigations of the long-term trend of solar activity and the construction of a homogeneous solar spectral irradiance record. Aims. The main objective of this article is to present a new solar spectral irradiance database (SOLAR-v) with the associated uncertainties. This dataset is based on solar UV irradiance observations (165-300 nm) of the SOLAR/SOLSPEC space-based instrument, which provides measurements of the full-disk SSI during solar cycle 24. Methods. SOLAR/SOLSPEC made solar acquisitions between April 5, 2008 and February 10, 2017. During this period, the instrument was a↵ected by the harsh space environment that introduces instrumental trends (degradation) in the SSI measurements. A new method based on an adaptation of the Multiple Same-Irradiance-Level (MuSIL) technique was used to separate solar variability and any uncorrected instrumental trends in the SOLAR/SOLSPEC UV irradiance measurements. Results. A new method for correcting degradation has been applied to the SOLAR/SOLSPEC UV irradiance records to provide new solar cycle variability results during solar cycle 24. Irradiances are reported at a mean solar distance of 1 astronomical unit (AU). In the 165-242 nm spectral region, the SOLAR/SOLSPEC data agrees with the observations (SORCE/SOLSTICE) and models (SATIRE-S, NRLSSI 2) to within the 1-sigma error envelope. Between 242 and 300 nm, SOLAR/SOLSPEC agrees only with the models.

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“…Higher up in the mesosphere, where shorter wavelengths are not absorbed yet, the irradiance variations over the 11-year solar cycle are even larger and have a strong effect on atmospheric trace gases, like H 2 O and CO 2 , where they produce large solar responses in HO x and CO and also affect O 3 by subsequent catalytic cycles (e.g. Marsh et al, 2007;Merkel et al, 2011;Beig et al, 2012).…”

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confidence: 99%

“…The deviant solar cycle behaviour of the SORCE (Solar Radiation and Climate Experiment) measurements has motivated a number of CCM studies (e.g. Haigh et al, 2010;Merkel et al, 2011;Ball et al, 2011Ball et al, , 2016Swartz et al, 2012) comparing simulations using prescribed SORCE SSI data with reconstructed SSI of the Naval Research Laboratory (NRLSSI) or the Spectral And Total Irradiance REconstructions (SATIRE) model.…”

mentioning

confidence: 99%

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone

Kunze¹,

Kruschke²,

Langematz³

et al. 2020

Atmos. Chem. Phys.

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Abstract. Variations in the solar spectral irradiance (SSI) with the 11-year sunspot cycle have been shown to have a significant impact on temperatures and the mixing ratios of atmospheric constituents in the stratosphere and mesosphere. Uncertainties in modelling the effects of SSI variations arise from uncertainties in the empirical models reconstructing the prescribed SSI data set as well as from uncertainties in the chemistry–climate model (CCM) formulation. In this study CCM simulations with the ECHAM/MESSy Atmospheric Chemistry (EMAC) model and the Community Earth System Model 1 (CESM1)–Whole Atmosphere Chemistry Climate Model (WACCM) have been performed to quantify the uncertainties of the solar responses in chemistry and dynamics that are due to the usage of five different SSI data sets or the two CCMs. We apply a two-way analysis of variance (ANOVA) to separate the influence of the SSI data sets and the CCMs on the variability of the solar response in shortwave heating rates, temperature, and ozone. The solar response is derived from climatological differences of time slice simulations prescribing SSI for the solar maximum in 1989 and near the solar minimum in 1994. The SSI values for the solar maximum of each SSI data set are created by adding the SSI differences between November 1994 and November 1989 to a common SSI reference spectrum for near-solar-minimum conditions based on ATLAS-3 (Atmospheric Laboratory of Applications and Science-3). The ANOVA identifies the SSI data set with the strongest influence on the variability of the solar response in shortwave heating rates in the upper mesosphere and in the upper stratosphere–lower mesosphere. The strongest influence on the variability of the solar response in ozone and temperature is identified in the upper stratosphere–lower mesosphere. However, in the region of the largest ozone mixing ratio, in the stratosphere from 50 to 10 hPa, the SSI data sets do not contribute much to the variability of the solar response when the Spectral And Total Irradiance REconstructions-T (SATIRE-T) SSI data set is omitted. The largest influence of the CCMs on variability of the solar responses can be identified in the upper mesosphere. The solar response in the lower stratosphere also depends on the CCM used, especially in the tropics and northern hemispheric subtropics and mid-latitudes, where the model dynamics modulate the solar responses. Apart from the upper mesosphere, there are also regions where the largest fraction of the variability of the solar response is explained by randomness, especially for the solar response in temperature.

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A New Version of the SOLAR-ISS Spectrum Covering the 165 – 3000 nm Spectral Region

Cited by 14 publications

References 32 publications

Quantifying the Impact of Solar Spectra on the Inter-Calibration of Satellite Instruments

Quantifying the Impact of Solar Spectra on the Inter-Calibration of Satellite Instruments

SOLAR-v: A new solar spectral irradiance dataset based on SOLAR/SOLSPEC observations during solar cycle 24

Quantifying uncertainties of climate signals in chemistry climate models related to the 11-year solar cycle – Part 1: Annual mean response in heating rates, temperature, and ozone

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