MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01D2EB66.325839C0" This document is a Single File Web Page, also known as a Web Archive file. If you are seeing this message, your browser or editor doesn't support Web Archive files. Please download a browser that supports Web Archive, such as Windows¢ç Internet Explorer¢ç. ------=_NextPart_01D2EB66.325839C0 Content-Location: file:///C:/43561493/06_Ribas.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="ks_c_5601-1987" 1st International Conference on Sustainable Lighting and Light Pollution, SLLP 2014

 

How Clouds are Amplifying (or not) the Effects of ALAN<= /span>

Salvador J. Ribas<= span lang=3DES style=3D'mso-bidi-font-size:13.0pt;mso-ansi-language:ES'>1,2,*, Jordi Torra2, Francesca Figueras2, Sergi Paricio3, Ramon Canal-Domingo1

[1]<= /a> 1Parc Astro= nòmic Montsec – Consell Comarcal de la Noguera, Àger E25691, Spain

2Institut de Ciències del Cosmos (ICCUB-IEEC), Barcelona E08028, Spain

3Servei per= la Prevenció de la Contaminació Acústica i Lumínic= a (Generalitat de Catalunya), Barcelona E08028, Spain

 

 

Received 04 December 2016, Accepted 30 December 2016

Abstract

Lig= ht emitted or reflected up to the sky can interact with clouds or fog changing Night Sky Brightness (NSB). So the evaluation of NSB in any place can be affected by this meteorological features and needs to be analyzed. To evalu= ate this effect, data of NSB obtained with the Catalan Light Pollution Network (XCLCat) has been analyzed accurately and shows how the effect is completely different in urban and protected areas. The study, including for the first = time independent cloud coverage data from ceilometer in combination with Sky Qua= lity Meters (SQM), shows how in a city NSB increases dramatically and in a prote= cted area the sky appears darker than in cloudless situation. =

 

Keywords: Environmental monitoring, Light pollution,= Atmospheric effects, Photometry, Clouds

1. Introduction

Light Pollution (LP) is an effect generated by artificial light at night (ALAN). Normally LP is associated with astronomy, but there are many other effects = in natural environment, health or power consumption [1, 2, 3, 4]. One of the m= ost common features of LP is the emission of light to the sky, generating skygl= ow.

The evaluation of LP can be done measuring Night Sky brightness (NSB) using ground-based instruments as telescopes with cameras or stand-alone devices = for this purpose. Light emitted or reflected up to the sky can interact with cl= ouds or fog changing dramatically NSB (see for example [5, 6, 7]). The interacti= on of artificial lights with clouds can only be evaluated with ground based measurements because this interaction starts in the base of clouds layer, s= o any observation above the clouds will not provide clear information of this interaction. So the evaluation of NSB from the ground can be clearly affect= ed by presence or absence of clouds. This effect is completely different depen= ding of the nature of the site: dark site or urban polluted site.

2. Catalan Light Pollution Network (XCLCat)

There are different approaches to evaluate NSB to estimate LP: from the space or = from the ground. The first option is based in the idea of using satellite data [= 8] or data from the International Space Station [9]. The ground based observat= ions can be done using classical photometry with telescopes or using new special= ly designed devices. In our study we have worked with ground-based measurements using Sky Quality Meter (SQM) devices. As it is explained above, ground measurements are mandatory to evaluate interaction of artificial light with clouds.

The cooperation of Catalan Service against Light Pollution and Parc Astron&ogra= ve;mic Montsec (PAM) has leaded to a pilot plan of a network for monitoring and evaluation of NSB in different places of Catalonia region [10]. Initially t= he network had just five devices but in 2016 the network increased to nine dev= ices and in the near future is expected to be integrated in the Air Quality Netw= ork (XVPCA) of the Government of Catalonia. Each station of the network is base= d on SQM devices, mainly SQM-LE version that works connected to Ethernet socket.=

SQM devices are used pointing to zenith and also with its L (lens) versions hav= e a wide field of view of around 40¨¬ [11, 12]. The spectral response is close = to photopic eye response but is more sensitive to blue part of visible light, so this m= eans its response is not exactly the photopic band nor the V Johnson astronomical filter band. Luminances are reported in magSQM/arcsec2 but can be converted= to mcd/m2 with some assumptions (see for example [13, 14]).<= /p>

All the procedure of acquisition and preprocessing of data of XCLCat stations is done using PySQM software [15]. Currently the devices are installed with two main focuses: natural or dark sky protected areas and places that contribut= e to NSB of these protected sites (see Fig.1 and Table 1).


Fig. 1. Map of the current XCLCat stations (2016). The highest concentration is = in STARLIGHT protected area of Montsec

 

Table 1. Mean Values of NSB during astronomical night in 2015 for the first five operative stations of = XCLCat.

It is clearly visible how in Lleida or Barcelona there is no difference when moonlit data are not included, so the lunar cycle will be poorly visible. In the other hand the first two sites listed, belonging to PAM sites, are extremely dark and the Moon effect is clear.

Station

GPS Position<= /span>

Latitude & Longitude=

Population (2014)

NSB

Total Sample<= /span>

NSB

Moonless Sample

 

[deg]

[inhabitants]

[magSQM/arcsec2]

[magSQM/arcsec2]

Àger – Centre d¡¯Observaci&o= acute;

de l¡¯Univers (COU)

42.02444N 0.73611E

     5= 94

20.24

21.38

Sant Esteve de la Sarga – Obs.=

Astr. del Montsec (OAdM)

42.05140N 0.72962E

     1= 32

20.25

21.48

Balaguer

41.78681N 0.80650E

  16485

18.13

18.43

Lleida

41.61578N 0.61573E

 139176

16.67

16.71

Barcelona – Fac. Física=

41.38472N 2.11800E

1602386

16.67

16.75

 

All the instruments of the XCLCat have been intercalibrated in the specially designed station of Centre d'Observació de l'Univers. Intercalibrati= on consists in a cross-calibration method based in pairing all the instruments, so with this strategy all the devices will show the same value for the same situati= on. The initial accuracy of a SQM is around 10% and with the intercalibration c= ould be improved to 1% [10, 16, 17].

3. Interaction of clouds with NSB

One of the difficulties of compare NSB data with clouds is the quality of clouds data, sometimes only synoptic information has been used [5] and not direct measurements of clouds properties. Fortunately XCLCat has some stations that are installed in areas used for environmental studies. This is the case of Montsec Starlight protected area and the city of Barcelona. Both places have installed a ceilometer, an IR laser device that provides real time informat= ion of clouds and aerosols [18]. The ceilometer installed in Montsec is a Jenop= tik CHM15K Nimbus that measures up to 14 kilometers and the ceilometer installe= d in Barcelona is a Vaisala CL13 that operates up to 8 kilometers [10]. So for t= he first time SQM and ceilometer data have been combined to evaluate the inter= action of clouds and NSB, and it has been done in completely different situations = of LP: dark and urban places.

The presence of clouds and fog generates oscillations in NSB values obtained wi= th SQM's. In the absence of clouds NSB is more stable in comparison with the presence of clouds as is shown in Fig.2. In the case of cities or light polluted areas the effect of clouds is to increase the brightness of the sk= y [5, 6].

 


Fig. 2. Comparison of two nights of measurements with SQM. Top panel shows a night with clouds and bottom panel shows one without clouds. The night with clouds shows some oscillations on the NSB created by clouds.

 

The effect of increasing NSB is extremely visible in case of fog, also without = the use of specific clouds data, just with evaluation of NSB in yearly plots as= in Fig.3. This is the case of the cities of Balaguer, a small city with not ve= ry high LP, and Lleida, a medium size city placed 25 km south of Balaguer. Both cities are located in an area where it is possible to have huge episodes wi= th permanent fog. In Fig.3 are clearly visible three periods with permanent fog showing an important increase of NSB up to 14-15 magnitudes per square arcsecond (red vertical stripes). It is also well identified because the red stripes (fog episodes) are completely simultaneous in both cities and could= not be related to any local effect. This fog effect is not visible in the case = of a site located in the mountains of Montsec, as the station placed in Observat= ori Astronòmic del Montsec (OAdM) at 1600 meters above sea level (asl). = In Fig.4 all the lunar cycles are clearly visible as diagonal stripes and, because t= his site is one of the darkest in southern Europe, NSB reaches values as dark a= s 22 magnitudes per square arcsecond.


Fig. 3. Evolution of close= to one year of NSB data in two sites. Top panel shows data from Balaguer and bottom panel from Lleida. In Balaguer few lunar cycles are still visible but not in Lleida. The most visible features are the three red vertical stripes related to fog episodes.


 


Fig. 4. Evolution of close= to one year of NSB data in a very dark place, OAdM (c. 1600m asl). All the lun= ar cycles are clearly visible as diagonal bands and there are not fog episodes= in mountain location.

 

Another possible approach to detect clouds or fog effects is evaluating how NSB is distributed during the night, with accumulative data of one year, showing a different shape depending of the amount of LP present at the site. In Fig.5= it is plotted the distribution of NSB in a protected dark area as OAdM site an= d it is clearly visible how the main distribution is around 21-22 mag and scatte= red measurements are moving to dark part of the plot (higher magnitudes). This scattered data could be related to measurements with clouds, so this is a f= irst probe of clouds darkening in dark sites. This effect of darkening linked wi= th clouds has been also recently detected with SQM data in Lake Stechlin (Germ= any) [7].

 


Fig. 5. Distribution of NSB data during nightti= me for one year in OAdM (c. 1600m asl). The data are mainly centered in 21-22 = mag with scattered measurements moving towards the darkest (top) possible value= s.

 

Opposite to what is happening in dark sky places, in Fig. 6, there is the case of Barcelona with a brighter distribution dominated by measurements around 17 = mag and scattered values appearing in the bottom part of the plot, reaching ext= reme values up to 13-14 mag. The origin of this effect is directly linked with clouds and how they reflect artificial light at night and how clouds are amplifying ALAN effects on NSB [1, 2].

 


Fig. 6. Distribution of NSB data during nightti= me for one year in the city of Barcelona. The data are mainly centered in 17-18 mag with scattered measurements moving towards the brightest values (13-14 mag).

 

Because the stations placed in Parc Astronòmic Montsec (COU and OAdM) and in= Barcelona have a ceilometer device, there is available information of the presence of clouds that can be combined with NSB measurements from SQM devices. So addi= ng available information of ceilometer data is possible to do a combined study= to evaluate accurately how clouds can change NSB in both situations. The study= of combined data in Barcelona city center, in the period August-November 2015,= leads us to a clear example of how the clouds are amplifying the effect of LP. In= the case of Barcelona, as seen in Fig.6, NSB could be six times brighter (more = than 2 mag) with clouds in comparison of a clear (no clouds) night. <= /span>

It is possible to compare the effect of different kinds of clouds (see Table 2= ). Ceilometer data provides the height of clouds and it is possible to combine= NSB data, not only with presence or absence of clouds, with the levels of clouds (low, medium and high). This analysis shows how low clouds are clearly lead= ing to the biggest increase of the effect of light in an extremely polluted are= a as Barcelona. In the other side high clouds are generating a tiny effect on the measurement of NSB in this city.

 

Table 2. Mean magnitudes of NSB measured in Barcelona with different configuratio= n of clouds

Sample=

Number= of measurements

NSB

smag

 

 

[mag/arcsec2]

[mag/arcsec2]

Total

27645

16.79

1.21

Without Clouds

14375

17.71

0.40

With Clouds

13270

15.79

0.99

Low Cl= ouds

 8427

15.53

0.96

Medium Clouds

 3643

16.07

0.84

High Clouds

 1200

16.81

0.63

 

For the first time the evaluation of this effect in a natural protected area is done. The case study is Montsec mountain range as specially protected dark = sky area. In this place clouds are not amplifying the effect of light. The effe= ct is just in the opposite direction because clouds can block natural sources = and NSB can be reduced to extremely dark measurements (see Fig. 5). In this case the period evaluated with ceilometer data is from November 2014 to April 20= 15 and also different samples are available to evaluate NSB in different situations according to different kinds of clouds (see Table 3).

 

Table 3. Mean magnitudes of NSB measured in OAdM with different configuration of clouds

Sample=

Number= of measurements

NSB

smag

 

 

[mag/arcsec2]

[mag/arcsec2]

Total

66492

21.47

0.59

Without Clouds

31752

21.44

0.56

With Clouds

34740

21.50

0.62

Low Clouds

7837

21.82

0.88

Medium Clouds

15537

21.50

0.60

High Clouds

11366

21.29

0.21

 

The effect of darkening by clouds is especially important in OAdM site in the t= op of the mountain, without no lights in the surrounding, where low clouds sam= ple is showing the darkest mean value, around 0.4-0.5 magnitudes darker than the sample without clouds. It is also possible to see, in Fig. 7, how the low clouds are leading to extreme NSB values (up to 24 mag) what is the zero le= vel of SQM device.


 

Fig. 7. Distribution of NSB measured with presence of clouds. The different subsamples are plotted and clearly low clouds can lead to darkest possible measurements of the SQM dev= ice.

4. Conclusions

For the first time Catalonia has a permanent network to evaluate NSB, currently= it is equipped with nine stations. All the SQM devices have been previously intercalibrated. These devices are installed in a mix of protected and urban areas so comparison studies can be done. The presence of fog or clouds modi= fies the measurements of NSB obtained with SQM. Using only SQM data it is easy to identify intensive fog periods in the cities because fog generates a huge increase of NSB in light polluted areas. Measurements could reach 14-15 magnitudes per square arcsecond. Also without ceilometer data it is observed how in the protected areas scattered measurements are moving towards the darkest part of the plot. In the other hand in light polluted areas scatter= ed values are appearing in the brightest parts of the plots.=

For first time a combination of SQM and independent cloud data from a ceilometer has been used. With this combination of data any clouds effect is easy to determine. In the case of Barcelona (light polluted area) measurements show= an increase up to 2 magnitudes of NSB due to the presence of low clouds. Also medium and high clouds have an impact increasing NSB. In the case of Montsec (protected area) clouds can darken the sky giving the darkest possible valu= es of an SQM. The reason is clear, in a protected area without LP: clouds are = not reflecting artificial lights and are also blocking natural features as Milky Way, Zodiacal light or stars from the sky, generating an important darkenin= g of the sky.

Acknowledgements

Authors want to thank the institutions involved in the project of measuring and evaluating LP in Catalonia: Parc Astronòmic Montsec - Consell Comarc= al de la Noguera, Institut de Ciències del Cosmos - Universitat de Barcelona = (ICCUB-IEEC) and Servei per la Prevenció de la Contaminació Acústic= a i Lumínica (Generalitat de Caalunya). Also authors want to thank all the institutions and researche= rs that have provided ceilometer data: Dr. Yolanda Sola from Meteo Group of Universitat de Barcelona and Dr. Marco Pandolfi and Dr. Andres Alastuey from Institut de Diagnosi Ambiental i Estudis de l¡¯Aigua (IDAEA) of Consejo Sup= erior de Investigaciones Científicas.

Authors want to thank the anonymous reviewer and editors for their comments to impr= ove this paper.

SJR acknowledges the European COST Project ES1204 Loss of the Night Network for= the chance to network and improve his research on this topic.=

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* Ribas SJ, Te= l.: +34-973053022

E-mail address: sjribas@montsec.cat

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