Spectral from HelioClim-3 - Info
Spectral irradiation from HelioClim-3 - Info
SPECTRAL solar radiation from Helioclim-3
Ultraviolet-A and Ultraviolet B and Photosynthetically Active Radiation (PAR)
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-1. Time reference is UT.
Two services are available: Ultra-Violet (UV) from HC3 and Photosynthetically Active Radiation (PAR) from HC3.
The full period of data (2004 to current day-1) is available on-demand.
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".
- Time reference: "UT" (universal time).
- 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|
|Boniol et al. 2006||Boniol, M., Cattaruzza, M. S., Wald, L., Chignol, M. C., Richard, M. A., Leccia, M. T., Truchetet, F., Renoirte, C., Vereecken, P., Autier, P., and Doré, J.-F., 2006. "Individual sun exposure can be assessed using meteorological satellite measurements". Epidemiology, 17(6), S245.||UV and health|
|Bosch et al. 2009||Bosch, J.L., G. López, F.J. Batlles (2009). Global and direct photosynthetically active radiation parameterizations for clear-sky conditions. Agricultural and Forest Meteorology. 149. 146-158. 10.1016/j.agrformet.2008.07.011.||PAR|
Content: coefficient to derive PAR ground albedo from broadband ground albedo.
|Boyle et al. 2006||Boyle, P., Boniol, M., Doré, J.-F., Chignol, M.-C., and Wald, L., UV-France, 2006. "Measurement of individual and population exposure to ultraviolet radiation based on data from meteorological satellites", Epidemiology. 17(6), S306.||UV and health|
|Harmel and Chami 2016||Harmel, T. and M. Chami (2016). Estimation of daily photosynthetically active radiation (PAR) in presence of low to high aerosol loads: Application to OLCI-like satellite data. Optics Express. 24. A1390-A1407. 10.1364/OE.24.0A1390.||PAR|
Content: data BOUSSOLE
|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|
Content: Coeff to derive PAR from GHI optimized for Cyprus.
|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.
|Lisicki et al. 2017||Marco Lisicki, Kevin D'Ostilio, Michel Erpicum, Jean Schoenen, Delphine Magis, 2017. "Sunlight irradiance and habituation of visual evoked potentials in migraine: The environment makes its mark", Cephalagia, Vol 38, Issue 7, 2018, https://doi.org/10.1177/0333102417730128||UV and Health|
Content: UV and Migraines
|McCree 1972||McCree, K. J.. "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|
|Mesrine et al. 2017||Mesrine S., M. Kvaskoff, T. Bah, L. Wald, F. Clavel-Chapelon, et al., 2017. "Ambient Ultraviolet Radiation, and Thyroid Cancer Risk: A French Prospective Study". Epidemiology, 2017, 28, pp.694-702.||UV and Health|
|Opálková et al. 2018||Opálková, M., Navrátil, M., Špunda, V., Blanc, P., and Wald, L.. "A database of 10 min average measurements of solar radiation and meteorological variables in Ostrava, Czech Republic", Earth Syst. Sci. Data, 10, 837-846, https://doi.org/10.5194/essd-10-837-2018, 2018.||GRD measurements, UV, PAR, broadband, Czech Republic|
Content: Article which proposes an alternative of quality check for spectral radiation values.
https://doi.org/10.1594/PANGAEA.879722 proposes for free in-situ measurements for 3 sites (2 very close) close to Ostrava, in Czech Republic:
- BGOU S1: lat=49.82754°, 18.32618°, 10 min data in UTC, end of interval, averages. Data from 2014-07-01-00-00 to 2016-12-31-22-50.
- BGOU S2: idem except data start on 2014-07-02-08-00
- NB: PHI (proche BGOU) provides meteo variables and air-pollutant information at a 1h time step.
- CHMI S3: lat=49.82521°, 18.15932°, 10 min data in UTC, end of interval, averages. Data from 2014-07-07-13-00 to 2016-12-31-22-50.
Spectral bands: UVB: 280-315 nm, UVA 315-400 nm, PAR 400-700 nm, 510-700 nm, 600-700 nm, 610-680 nm, 690-780 nm, broadband 400-1100 nm.
Interesting citations in this article:
- "Moreover, diffuse radiation is know for having a different blue/red ratio compared to direct radiation (Navratil et al. 2007)."
- "We have adapted the approach of Korany et al. (2016) which applies to measurements of global and diffuse total irradiances."
- "Some values are greater than the corresponding irradiance at TOA. These values were usually connectly with partly cloudy weather, when multiple scattering on the cloud edges could increase incident solar irradiation (Mims and Frederick, 1994)."
|Orton et al. 2011||Orton S.-M., L. Wald, C. B. Confavreux, S. Vukusic, J. P. Krohn, et al. 2011. "Association of UV radiation with multiple sclerosis prevalence and sex ratio in France", Neurology, 2011, 76 (5), pp.425-431.||UV and health|
|Porcheret et al. 2018||Porcheret K., L. Wald, L. Fritschi, M. Gerkema, M. Gordijn, et al. 2016. "Chronotype and environmental light exposure in a student population", Chronobiology International, doi: 10.1080/07420528.2018.1482556, 2018||UV and Health|
|Savoye et al. 2018||Savoye I., C. Olsen, D. Whiteman, A. Bijon, L. Wald, et al., 2018. "Patterns of ultraviolet radiation exposure and skin cancer risk: the E3N-SunExp study". Journal of Epidemiology, 2018, 28(1), pp.27-33.||UV and Health|
|Savoye et al. 2016||Savoye I., C. Olsen, L. Wald, F. Clavel-Chapelon, M.-C. Boutron-Ruault, et al., 2016. "Profils d'exposition solaire et risque de cancer cutané : étude cas-témoin nichée dans E3 N". Epidemiology and Public Health / Revue d'Epidémiologie et de Santé Publique, 2016, 64, pp.S224||UV and health|
|Szeicz 1974||Szeicz G., 1974. "Solar radiation for plant growth", J. Appl Ecol., Vol. 11, No. 2 (Aug., 1974), pp. 617-636. DOI: 10.2307/2402214||PAR from GHI, UK|
|Thomas et al. 2019||Thomas C., A. L. Cirigliano, W. Nyamsi, A. Arola, U. Pfeifroth, J. Trentmann, T. Ranchin, and L. Wald. "Assessment of six different methods for the estimation of surface Ultra-Violet fluxes at one location in Uruguay" SWC 2019: ISES Solar World Congress, Nov 2019, Santiago, Chile. ⟨10.18086/swc.2019.42.12⟩. ⟨hal-02863570⟩||UV|
|Thomas et al. 2019||Thomas C., S. Dorling, W. Nyamsi, L. Wald, S. Rubino, L. Saboret, M. Trolliet, and E. Wey. "Assessment of five different methods for the estimation of surface photosynthetically active radiation from satellite imagery at three sites – application to the monitoring of indoor soft fruit crops in southern UK" Advances in Science and Research, Copernicus Publications, 2019, 16, pp.229-240. ⟨10.5194/asr-16-229-2019⟩. ⟨hal-02315955⟩||PAR|
Content: During the oral presentation given in Chile, the assessment has been extended to 6 sites (Lille, Provence, La Réunion, Kishinev, Reading and Uruguay)
|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. https://doi.org/10.1016/S0168-1923(99)00055-6||PAR from broadband|
Content: Coeff to derive PAR from GHI optimized for Nigeria.
|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. 2021||Wandji Nyamsi W., P. Blanc, J.A. Augustine, A. Arola, and L. Wald, 2019. " Using Copernicus Atmosphere Monitoring Service (CAMS) Products to Assess Illuminances at Ground Level under Cloudless Conditions ", Atmosphere 2021, 12(5), 643; https://doi.org/10.3390/atmos12050643||Daylight|
|Wandji Nyamsi et al. 2019||Wandji Nyamsi W., P. Blanc, D. Dumortier, R. Mouangue, A. Arola, and L. Wald, 2021. "A new clear-sky method for assessing photosynthetically active radiation at the surface level", Atmosphere 2019, 10, 219; doi:10.3390/atmos10040219.||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.
|Yu et al. 2015||Xiaolei Y., Z. Wu, W. Jiang, and X. Guo, 2015. "Predicting daily photosynthetically active radiation from global solar radiation in the Contiguous United States", Energy Conversion and Management, Vol. 89, pp. 71-82. DOI: 10.1016/j.enconman.2014.09.038||PAR from GHI|