Spectral radiation

Last update: Mar. 2018

    Objective - Characteristics of the service - Steps of developments - Bibliography Spectral

 

Objective of the service

Deliver time series of spectral radiation values in the spectral band interval required by the user, in all weather conditions (not only clear sky).

Characteristics

Inputs: McClear clear sky values

Outputs:

Steps of developments

(reverse chronological order)

29 Nov. 2017: rdv au CIEMAT. Discussion with the team about spectral developments

Oct. 2017: McClear v2 to McClear v3 => Stéphane is checking if ok. Correction of compute_gc_mcclear to correct the use of E0 (broadband instead of Kato)

Sept. 2017: McClear in real time

Aug. 2017: Self validation and first delivery of spectral radiation datasets to a user. Validation against in situ measurements is not yet carried out.

July: Bug in McClear v2 (change of atmospheric profile during the day generating sharp steps of radiation values). This has been corrected during the maintenance operation that occurred on 31st July 2017 (information not available in the release not as it impacted only the spectral data which is not an operational service).

Spring 2017: First developments of a precursor of service in Matlab following the work of William

2016 and before: research carried out by William Wandji, a PhD student from MINES ParisTech

Notes

Monthly and daily PAR from 2000-2016 : http://environment.snu.ac.kr/bess_rad/
Result from a radiation model transfer + neural networks with forcings from MODIS atmospheric products

Huete et al (2002) explique que l'indice EVI est plus adapté pour décrire l'activité photosynthétique des forêts tropicales (high-biomass forests) que le NDVI. (See Wikipedia for EVI - the values of coefficients for MODIS-EVI algorithm are; L=1, C1 = 6, C2 = 7.5, and G (gain factor) = 2.5)

PAR sensor, PSQ1 INRA Bornet June 2018: "A standardised PAR spectral response in the visible light range between 400nm and 700nm wavelength was defined by McCree (1972) such that each photon within this region is equally absorbed. ‘Blue' photons of shorter wavelength (higher frequency) have more energy than ‘Red' photons of longer wavelength. The amount of PAR is commonly expressed as Photosynthetic Photon Flux Density (PPFD) with a unit of µmol/m²·s."

Need for an online tool to convert µmol/m2/s into W/m2 or Wh/m2.

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Bibliography Spectral

(In alphabetic order and and reverse chronological order)

Aculinin et al. 2016 Aculinin A., C. Brogniez, M. Bengulescu, D. Gillotay, et al. 2016. "Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance" Remote Sensing, MDPI, 2016, 8 (7), pp.537. UV-A from broadband

 

Kato et al. 1999 Kato S., T. Ackerman, J.  Mather, E. Clothiaux, 1999. "The k-distribution method and correlated-k approximation  for  shortwave  radiative  transfer  model" Journal of Quantitative Spectroscopy and Radiative Transfer 62, 109-121. DOI:10.1016/S0022-4073(98)00075-2. Kato

 

Kravietz et al. 2017 Kravietz A., S. Ka, L. Wald, A. Dugravot, A. Singh-Manoux, F. Moisan, A. Elbaz, 2017. "Association of UV radiation with Parkinson disease incidence: a nationwide French ecologic study" Environmental Research, 154, 50 - 56, doi: 10.1016/j.envres.2016.12.008 UV and Parkinson desease

 

Lefèvre et al. 2013 Lefèvre M., A. Oumbe, P. Blanc, B. Espinar, B. Gschwind, Z. Qu, L. Wald, M. Schroedter-Homscheidt, C. Hoyer-Klick, A. Arola, A. Benedetti, J. W. Kaiser, and J.-J.  Morcrette, 2013. "McClear: a new model estimating downwelling solar radiation at ground level in clear-sky conditions", Atmos. Meas. Tech., 6, 2403-2418, doi:10.5194/amt-6-2403-2013. McClear

Content: in addition to the description of CAMS McClear, this article provides a very restrictive algorithm to select clear sky instants. It consists of two successive filters. The first one is a constraint on the amount of diffuse irradiance with respect to the global irradiance since the direct irradiance is usually prominent in the case of clear sky. The second filter analyses the temporal variability of the global irradiance. If there is no cloud, the sky should be clear and steady for a long period.

Wald 2018 Lucien Wald, 2018. "A simple algorithm for the computation of the spectral distribution of the solar irradiance at surface"  [Research Report] MINES ParisTech. 2018. Spectral from broadband

 

Wald 2012 Wald L., 2012. "Elements on the Computation of UV Maps in the Eurosun Database" Internal Report. 2012. UV from broadband

 

Wandji Nyamsi et al. 2018 Wandji Nyamsi W., P. Blanc, J.A. Augustine, A. Arola, and L. Wald, 2018. "Deriving Photosynthetically Active Radiation at ground level in cloud-free conditions from Copernicus Atmospheric Monitoring Service (CAMS) products", Biogeosciences Discussion, doi: 10.5194/bg-2017-512. PAR from Kato

 

Wandji Nyamsi et al. 2017 Wandji Nyamsi W., M. R. A. Pitkänen, Y. Aoun, P. Blanc, A. Heikkilä, K. Lakkala, G. Bernhard, T. Koskela, A. V. Lindfors, A. Arola, et al., 2017. "A new method for estimating UV fluxes at ground level in cloud-free conditions" Atmospheric Measurement Techniques, European Geosciences Union, 2017, 10 (12), pp.4965-4978. DOI:10.5194/amt-10-4965- 2017. UV from Kato

 

Wandji Nyamsi 2015

Thèse de William Wandji Nyamsi W., 2015. "Vers une méthode automatique d'estimation de la distribution spectrale du rayonnement solaire. Cas du ciel clair. : Applications à la lumière du jour, photosynthèse et ultraviolet". Soutenue le 6 novembre 2015. MINES ParisTech, spécialité « énergétique et procédés », 124 p.

PAR et UV from Kato

 

Wandji Nyamsi et al. 2015

Wandji Nyamsi W., B. Espinar, P. Blanc, and L. Wald, 2015. "Estimating the photosynthetically active radiation under clear skies by means of a new approach" Advances in Science and Research, Copernicus Publications, 12, pp.5–10. DOI: 10.5194/asr-12-5-2015

PAR from Kato

Content: the Kato bands do not exactly fit the PAR spectral ranges and a spectral resampling is necessary. The authors have developed a resampling method which determine several 1-nm spectral bands whose atmospheric transmissivities are correlated to those of the Kato bands and then use these transmissivities in a linear interpolation process to compute the PAR irradiance. The technique has been numerically validated. The authors conclude that the technique estimates direct and global with very high accuracy. 

Wandji Nyamsi et al. 2014 Wandji Nyamsi W., B. Espinar, P. Blanc, and L. Wald, 2014. "How close to detailed spectral calculations is the k-distribution method and correlated-k approximation of Kato et al. (1999) in each spectral interval?" Meteorologische Zeitschrift, Borntraeger Science Publishers, 2014, 23, pp.547-556. DOI: 10.1127/metz/2014/0607. Kato

Content: authors compared atmospheric transmissivities obtained by the Kato et al. approach against those obtained by spectrally resolved computations using two Radiative Transfer Models (RTMs) in each of the 32 Kato Bands. These calculations were performed for a set of 200 000 realistic atmospheres and clouds. These authors found that the Kato et al. approach offers very accurate estimates of irradiances in all 12 Kato bands covering PAR-range.

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