SPECTRAL from Helioclim-3
|Last update: Oct. 2018|
This service provides spectral radiation values computed from the satellite-derived solar radiation database HelioClim-3 version 5 over a horizontal plane. The geographical coverage corresponds to the Meteosat satellite field of view, i.e. covers Europe, Africa, Atlantic Ocean, Middle East. Spatial resolution is 3 km at Nadir and is increasing as soon as we get away from this point (see illustration on the right hand side). Temporal coverage of data is 2004-02-01 up to current day-2, and soon in real time. Time reference is UT.
So far, two services are available:
Ultra-Violet from HC3
The service provides time series of UV-A (315–400 nm) and UV-B (280–315 nm), and UV total data.
Data are irradiances in W/m².
Bibliography: the algorithm of conversion from total radiation (i.e. spectrally integrated) into UV-A, -B or total is described in Wald 2012 (see list of publications below). Aculinin et al. 2016 provide an interesting comparison of several methods.
Photosynthetically Active Radiation from HC3
The service provides time series of PAR (400-700 nm) in all weather conditions, in cloud-free conditions, and at the top of the atmosphere. The method used here is Udo et Aro (1999). For more details about the evaluation of the performance of several methods to derive PAR from satellite imagery over 3 stations in Southern UK, please take a look to this poster and read our page dedicated to research. Provided datasets are photosynthetic photon flux density, abbreviated in PPFD and expressed in µmol.m-2.s-1. It is defined as the number of the incident photons per unit time per unit surface. This unit is linked to irradiance by the widely used approximation 1 W.m−2 ≈ 4.57 µmol.m-2.s-1 (McCree, 1972).
- Spectral band: Select the spectral range: "Ultraviolet (UV)" or "Photosynthetically Active Radiation (PAR)".
- Latitude and longitude: enter the values in decimal degrees (we advise 3 or 4 digits after comma), or directly click on the map to select your point, or you can also use the "Search Address" tool on the top of the map.
- Altitude: enter the altitude, or let us use our default high resolution elevation database SRTM (spatial resolution 90 m, uncertainty 10 m) by letting the default "Automatic" value.
- Start date and End date: format yyyy-mm-dd.
NB: Please pay attention to ask for complete months when asking for monthly values. If incomplete, the given monthly value results from an interpolation based on the selected days.
- Time step: "15 min", "30 min", "hour", "day".
- Compute relief shadows: take into account (or not) the shadowing effect due to the far horizon.
- Output format: CSV
UV from HC3
- Date: format DD-MM-YYYY
- Time: format hh:mm
- UVA: Irradiation in UV-A (315-400 nm) over the period on horizontal plane (-999 if not data)
- UVB: Irradiation in UV-B (280-315 nm) over the period on horizontal plane (-999 if no data)
- UV: Irradiation in UV (280-400 nm) over the period on horizontal plane (-999 if no data)
PAR from HC3
- Date: format DD-MM-YYYY
- Time: format hh:mm
- PAR (µmol/m2/s): PAR (400-700 nm) over the period on horizontal plane (-999 if no data)
- PAR clear-sky (µmol/m2/s): PAR (400-700 nm) over the period on horizontal plane in cloud-free conditions (-999 if no data)
- PAR TOA (µmol/m2/s): PAR (400-700 nm) over the period on horizontal plane at the top of the atmosphere (-999 if no data)
- Code: 0: no data, 1: sun below horizon, 2: satellite assessment, 5: interpolation in time, 6: forecast
(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|
|Jacovides et al. 2004||Jacovides, C. P., Timvios, F. S., Papaioannou, G., Asimakopoulos, D. N., and Theofilou, C. M.: Ratio of PAR to broadband solar radiation measured in Cyprus, Agr. Forest. Meteorol., 121, 135– 140, 2004.||PAR from HC3|
|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.
|McCree 1972||McCree, K. J., 1972. "Test of current definitions of photosynthetically active radiation against leaf photosynthesis data", Agric. Meteorol., 10, 443–453, 1972||conversion factor from µmol/m2/s into W/m2|
|Udo et Aro 1999||Udo, S. O. and Aro, T. O., 1999. "Global PAR related to global solar radiation for central Nigeria", Agr. Forest. Meteorol, 97, 21–31, 1999.||PAR from broadband|
|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.