AustralieFrV1, PascalFrancis, Curation, bibRecord, 004042

Cloud statistics and cloud radiative effect for a low-mountain site

Identifieur interne : 004042 ( PascalFrancis/Curation ); précédent : 004041; suivant : 004043

Cloud statistics and cloud radiative effect for a low-mountain site

Auteurs : Kerstin Ebell [Allemagne] ; Susanne Crewell [Allemagne] ; Ulrich Löhnert [Allemagne] ; David D. Turner [États-Unis] ; Ewan J. O'Connor [Royaume-Uni, Finlande]

Source :

Quarterly Journal of the Royal Meteorological Society [ 0035-9009 ] ; 2011.

RBID : Pascal:11-0163353

Descripteurs français

Pascal (Inist)
- Nuage aqueux, Massif montagneux, Rayonnement atmosphérique, Précipitation atmosphérique, Propriété thermodynamique, Couche mélangée, Trajet eau liquide, Ciel serein, Onde courte période, Onde longue, Ciel couvert, Analyse sensibilité, Incertitude, Teneur eau, Rayon effectif, Télédétection, Forêt Noire.
Wicri :
- topic : Télédétection.

English descriptors

KwdEn :
- Atmospheric radiation, Black Forest, Clear sky, Cloudy sky, Effective radius, Liquid water path, Long wave, Mixed layer, Water cloud, atmospheric precipitation, mountains, remote sensing, sensitivity analysis, short period waves, thermodynamic properties, uncertainties, water content.

Abstract

In 2007, the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was operated for a nine-month period in the Murg Valley, Black Forest, Germany, in support of the Convective and Orographically-induced Precipitation Study (COPS). The synergy of AMF and COPS partner instrumentation was exploited to derive a set of high-quality thermodynamic and cloud property profiles with 30 s resolution. In total, clouds were present 72% of the time, with multi-layer mixed phase (28.4%) and single-layer water clouds (11.3%) occurring most frequently. A comparison with the Cloudnet sites Chilbolton and Lindenberg for the same time period revealed that the Murg Valley exhibits lower liquid water paths (LWPs; median = 37.5 g m^-2) compared to the two sites located in flat terrain. In order to evaluate the derived thermodynamic and cloud property profiles, a radiative closure study was performed with independent surface radiation measurements. In clear sky, average differences between calculated and observed surface fluxes are less than 2% and 4% for the short wave and long wave part, respectively. In cloudy situations, differences between simulated and observed fluxes, particularly in the short wave part, are much larger, but most of these can be related to broken cloud situations. The daytime cloud radiative effect (CRE), i.e. the difference of cloudy and clear-sky net fluxes, has been analysed for the whole nine-month period. For overcast, single-layer water clouds, sensitivity studies revealed that the CRE uncertainty is likewise determined by uncertainties in liquid water content and effective radius. For low LWP clouds, CRE uncertainty is dominated by LWP uncertainty; therefore refined retrievals, such as using infrared and/or higher microwave frequencies, are needed.

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A06				`@3 SUP1`
A08	`01`	`1`	`ENG`	`@1 Cloud statistics and cloud radiative effect for a low-mountain site`
A09	`01`	`1`	`ENG`	`@1 Advances in the understanding of convective processes and precipitation over low-mountain regions through the Convective and Orographically-induced Precipitation Study (COPS)`
A11	`01`	`1`		`@1 EBELL (Kerstin)`
A11	`02`	`1`		`@1 CREWELL (Susanne)`
A11	`03`	`1`		`@1 LÖHNERT (Ulrich)`
A11	`04`	`1`		`@1 TURNER (David D.)`
A11	`05`	`1`		`@1 O'CONNOR (Ewan J.)`
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A14	`02`			`@1 University of Wisconsin-Madison @2 Madison, Wisconsin @3 USA @Z 4 aut.`
A14	`03`			`@1 NOAA / National Severe Storms Laboratory @2 Norman, Oklahoma @3 USA @Z 4 aut.`
A14	`04`			`@1 University of Reading @2 Reading @3 GBR @Z 5 aut.`
A14	`05`			`@1 Finnish Meteorological Institute @2 Helsinki @3 FIN @Z 5 aut.`
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A15	`03`			`@1 National Centre for Atmospheric Science, University of Leeds @3 GBR @Z 4 aut.`
A15	`04`			`@1 Met Office @2 Exeter @3 GBR @Z 5 aut.`
A15	`05`			`@1 Deparmtent of Meteorology and Geophysics, University of Vienna @3 AUS @Z 6 aut.`
A15	`06`			`@1 Department of Meteorology, University of Reading @3 GBR @Z 7 aut.`
A15	`07`			`@1 Laboratoire d'Aérologie - UMR 5560 @2 Toulouse @3 FRA @Z 8 aut.`
A15	`08`			`@1 ARPA-SIM @2 Bologna @3 ITA @Z 9 aut.`
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C01	`01`		`ENG`	@0 In 2007, the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was operated for a nine-month period in the Murg Valley, Black Forest, Germany, in support of the Convective and Orographically-induced Precipitation Study (COPS). The synergy of AMF and COPS partner instrumentation was exploited to derive a set of high-quality thermodynamic and cloud property profiles with 30 s resolution. In total, clouds were present 72% of the time, with multi-layer mixed phase (28.4%) and single-layer water clouds (11.3%) occurring most frequently. A comparison with the Cloudnet sites Chilbolton and Lindenberg for the same time period revealed that the Murg Valley exhibits lower liquid water paths (LWPs; median = 37.5 g m^-2) compared to the two sites located in flat terrain. In order to evaluate the derived thermodynamic and cloud property profiles, a radiative closure study was performed with independent surface radiation measurements. In clear sky, average differences between calculated and observed surface fluxes are less than 2% and 4% for the short wave and long wave part, respectively. In cloudy situations, differences between simulated and observed fluxes, particularly in the short wave part, are much larger, but most of these can be related to broken cloud situations. The daytime cloud radiative effect (CRE), i.e. the difference of cloudy and clear-sky net fluxes, has been analysed for the whole nine-month period. For overcast, single-layer water clouds, sensitivity studies revealed that the CRE uncertainty is likewise determined by uncertainties in liquid water content and effective radius. For low LWP clouds, CRE uncertainty is dominated by LWP uncertainty; therefore refined retrievals, such as using infrared and/or higher microwave frequencies, are needed.
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C03	`01`	`X`	`FRE`	`@0 Nuage aqueux @5 01`
C03	`01`	`X`	`ENG`	`@0 Water cloud @5 01`
C03	`01`	`X`	`SPA`	`@0 Nube acuosa @5 01`
C03	`02`	`2`	`FRE`	`@0 Massif montagneux @5 02`
C03	`02`	`2`	`ENG`	`@0 mountains @5 02`
C03	`02`	`2`	`SPA`	`@0 Macizo montañoso @5 02`
C03	`03`	`X`	`FRE`	`@0 Rayonnement atmosphérique @5 03`
C03	`03`	`X`	`ENG`	`@0 Atmospheric radiation @5 03`
C03	`03`	`X`	`SPA`	`@0 Radiación atmosférica @5 03`
C03	`04`	`2`	`FRE`	`@0 Précipitation atmosphérique @5 04`
C03	`04`	`2`	`ENG`	`@0 atmospheric precipitation @5 04`
C03	`04`	`2`	`SPA`	`@0 Precipitación atmosférica @5 04`
C03	`05`	`2`	`FRE`	`@0 Propriété thermodynamique @5 05`
C03	`05`	`2`	`ENG`	`@0 thermodynamic properties @5 05`
C03	`06`	`X`	`FRE`	`@0 Couche mélangée @5 06`
C03	`06`	`X`	`ENG`	`@0 Mixed layer @5 06`
C03	`06`	`X`	`SPA`	`@0 Capa mezclada @5 06`
C03	`07`	`X`	`FRE`	`@0 Trajet eau liquide @5 07`
C03	`07`	`X`	`ENG`	`@0 Liquid water path @5 07`
C03	`07`	`X`	`SPA`	`@0 Recorrido agua líquida @5 07`
C03	`08`	`X`	`FRE`	`@0 Ciel serein @5 08`
C03	`08`	`X`	`ENG`	`@0 Clear sky @5 08`
C03	`08`	`X`	`SPA`	`@0 Cielo sereno @5 08`
C03	`09`	`2`	`FRE`	`@0 Onde courte période @5 09`
C03	`09`	`2`	`ENG`	`@0 short period waves @5 09`
C03	`09`	`2`	`SPA`	`@0 Onda corto periodo @5 09`
C03	`10`	`X`	`FRE`	`@0 Onde longue @5 10`
C03	`10`	`X`	`ENG`	`@0 Long wave @5 10`
C03	`10`	`X`	`SPA`	`@0 Onda larga @5 10`
C03	`11`	`X`	`FRE`	`@0 Ciel couvert @5 11`
C03	`11`	`X`	`ENG`	`@0 Cloudy sky @5 11`
C03	`11`	`X`	`SPA`	`@0 Cielo cubierto @5 11`
C03	`12`	`2`	`FRE`	`@0 Analyse sensibilité @5 12`
C03	`12`	`2`	`ENG`	`@0 sensitivity analysis @5 12`
C03	`13`	`2`	`FRE`	`@0 Incertitude @5 13`
C03	`13`	`2`	`ENG`	`@0 uncertainties @5 13`
C03	`14`	`2`	`FRE`	`@0 Teneur eau @5 14`
C03	`14`	`2`	`ENG`	`@0 water content @5 14`
C03	`14`	`2`	`SPA`	`@0 Contenido en agua @5 14`
C03	`15`	`X`	`FRE`	`@0 Rayon effectif @5 15`
C03	`15`	`X`	`ENG`	`@0 Effective radius @5 15`
C03	`15`	`X`	`SPA`	`@0 Radio efectivo @5 15`
C03	`16`	`2`	`FRE`	`@0 Télédétection @5 16`
C03	`16`	`2`	`ENG`	`@0 remote sensing @5 16`
C03	`16`	`2`	`SPA`	`@0 Detección a distancia @5 16`
C03	`17`	`2`	`FRE`	`@0 Forêt Noire @2 NG @5 21`
C03	`17`	`2`	`ENG`	`@0 Black Forest @2 NG @5 21`
C03	`17`	`2`	`SPA`	`@0 Bosque Negro @2 NG @5 21`
C07	`01`	`2`	`FRE`	`@0 Bade Wurtemberg @2 NG`
C07	`01`	`2`	`ENG`	`@0 Baden-Wurttemberg Germany @2 NG`
C07	`01`	`2`	`SPA`	`@0 Bade Wurtemberg @2 NG`
C07	`02`	`2`	`FRE`	`@0 Allemagne @2 NG`
C07	`02`	`2`	`ENG`	`@0 Germany @2 NG`
C07	`02`	`2`	`SPA`	`@0 Alemania @2 NG`
C07	`03`	`2`	`FRE`	`@0 Europe Centrale @2 NG`
C07	`03`	`2`	`ENG`	`@0 Central Europe @2 NG`
C07	`03`	`2`	`SPA`	`@0 Europa central @2 NG`
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Le document en format XML

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<term>Propriété thermodynamique</term>
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<front><div type="abstract" xml:lang="en">In 2007, the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was operated for a nine-month period in the Murg Valley, Black Forest, Germany, in support of the Convective and Orographically-induced Precipitation Study (COPS). The synergy of AMF and COPS partner instrumentation was exploited to derive a set of high-quality thermodynamic and cloud property profiles with 30 s resolution. In total, clouds were present 72% of the time, with multi-layer mixed phase (28.4%) and single-layer water clouds (11.3%) occurring most frequently. A comparison with the Cloudnet sites Chilbolton and Lindenberg for the same time period revealed that the Murg Valley exhibits lower liquid water paths (LWPs; median = 37.5 g m<sup>-2</sup>
) compared to the two sites located in flat terrain. In order to evaluate the derived thermodynamic and cloud property profiles, a radiative closure study was performed with independent surface radiation measurements. In clear sky, average differences between calculated and observed surface fluxes are less than 2% and 4% for the short wave and long wave part, respectively. In cloudy situations, differences between simulated and observed fluxes, particularly in the short wave part, are much larger, but most of these can be related to broken cloud situations. The daytime cloud radiative effect (CRE), i.e. the difference of cloudy and clear-sky net fluxes, has been analysed for the whole nine-month period. For overcast, single-layer water clouds, sensitivity studies revealed that the CRE uncertainty is likewise determined by uncertainties in liquid water content and effective radius. For low LWP clouds, CRE uncertainty is dominated by LWP uncertainty; therefore refined retrievals, such as using infrared and/or higher microwave frequencies, are needed.</div>
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<fA09 i1="01" i2="1" l="ENG"><s1>Advances in the understanding of convective processes and precipitation over low-mountain regions through the Convective and Orographically-induced Precipitation Study (COPS)</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>EBELL (Kerstin)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>CREWELL (Susanne)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>LÖHNERT (Ulrich)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>TURNER (David D.)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>O'CONNOR (Ewan J.)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>WULFMEYER (V.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>FLAMANT (C.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1"><s1>BEHRENDT (A.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="04" i2="1"><s1>BLYTH (A.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="05" i2="1"><s1>BROWN (A.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="06" i2="1"><s1>DORNINGER (M.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="07" i2="1"><s1>ILLINGWORTH (A.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="08" i2="1"><s1>MASCART (P.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="09" i2="1"><s1>MONTANI (A.)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="10" i2="1"><s1>WECKWERTH (T.)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>Institute for Geophysics and Meteorology, University of Cologne</s1>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>University of Wisconsin-Madison</s1>
<s2>Madison, Wisconsin</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>NOAA / National Severe Storms Laboratory</s1>
<s2>Norman, Oklahoma</s2>
<s3>USA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>University of Reading</s1>
<s2>Reading</s2>
<s3>GBR</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Finnish Meteorological Institute</s1>
<s2>Helsinki</s2>
<s3>FIN</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>Institute of Physics and Meteorology (IPM), University of Hahenhaim (UHOH)</s1>
<s2>Stuttgart</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</fA15>
<fA15 i1="02"><s1>Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS/UPMC/UVSQ</s1>
<s2>Paris</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA15>
<fA15 i1="03"><s1>National Centre for Atmospheric Science, University of Leeds</s1>
<s3>GBR</s3>
<sZ>4 aut.</sZ>
</fA15>
<fA15 i1="04"><s1>Met Office</s1>
<s2>Exeter</s2>
<s3>GBR</s3>
<sZ>5 aut.</sZ>
</fA15>
<fA15 i1="05"><s1>Deparmtent of Meteorology and Geophysics, University of Vienna</s1>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</fA15>
<fA15 i1="06"><s1>Department of Meteorology, University of Reading</s1>
<s3>GBR</s3>
<sZ>7 aut.</sZ>
</fA15>
<fA15 i1="07"><s1>Laboratoire d'Aérologie - UMR 5560</s1>
<s2>Toulouse</s2>
<s3>FRA</s3>
<sZ>8 aut.</sZ>
</fA15>
<fA15 i1="08"><s1>ARPA-SIM</s1>
<s2>Bologna</s2>
<s3>ITA</s3>
<sZ>9 aut.</sZ>
</fA15>
<fA15 i1="09"><s1>National Center of Atmospheric Research (NCAR)</s1>
<s2>Boulder, CO</s2>
<s3>USA</s3>
<sZ>10 aut.</sZ>
</fA15>
<fA20><s1>306-324</s1>
</fA20>
<fA21><s1>2011</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>3134</s2>
<s5>354000193711790200</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2011 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>11-0163353</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Quarterly Journal of the Royal Meteorological Society</s0>
</fA64>
<fA66 i1="01"><s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>In 2007, the Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) was operated for a nine-month period in the Murg Valley, Black Forest, Germany, in support of the Convective and Orographically-induced Precipitation Study (COPS). The synergy of AMF and COPS partner instrumentation was exploited to derive a set of high-quality thermodynamic and cloud property profiles with 30 s resolution. In total, clouds were present 72% of the time, with multi-layer mixed phase (28.4%) and single-layer water clouds (11.3%) occurring most frequently. A comparison with the Cloudnet sites Chilbolton and Lindenberg for the same time period revealed that the Murg Valley exhibits lower liquid water paths (LWPs; median = 37.5 g m<sup>-2</sup>
) compared to the two sites located in flat terrain. In order to evaluate the derived thermodynamic and cloud property profiles, a radiative closure study was performed with independent surface radiation measurements. In clear sky, average differences between calculated and observed surface fluxes are less than 2% and 4% for the short wave and long wave part, respectively. In cloudy situations, differences between simulated and observed fluxes, particularly in the short wave part, are much larger, but most of these can be related to broken cloud situations. The daytime cloud radiative effect (CRE), i.e. the difference of cloudy and clear-sky net fluxes, has been analysed for the whole nine-month period. For overcast, single-layer water clouds, sensitivity studies revealed that the CRE uncertainty is likewise determined by uncertainties in liquid water content and effective radius. For low LWP clouds, CRE uncertainty is dominated by LWP uncertainty; therefore refined retrievals, such as using infrared and/or higher microwave frequencies, are needed.</s0>
</fC01>
<fC02 i1="01" i2="2"><s0>001E02H</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E02D</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Nuage aqueux</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Water cloud</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Nube acuosa</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE"><s0>Massif montagneux</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG"><s0>mountains</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="SPA"><s0>Macizo montañoso</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Rayonnement atmosphérique</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Atmospheric radiation</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Radiación atmosférica</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Précipitation atmosphérique</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>atmospheric precipitation</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA"><s0>Precipitación atmosférica</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Propriété thermodynamique</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>thermodynamic properties</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Couche mélangée</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Mixed layer</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Capa mezclada</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Trajet eau liquide</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Liquid water path</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Recorrido agua líquida</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Ciel serein</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Clear sky</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Cielo sereno</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Onde courte période</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>short period waves</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Onda corto periodo</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Onde longue</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Long wave</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Onda larga</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Ciel couvert</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Cloudy sky</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Cielo cubierto</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Analyse sensibilité</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>sensitivity analysis</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Incertitude</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="2" l="ENG"><s0>uncertainties</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Teneur eau</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>water content</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Contenido en agua</s0>
<s5>14</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Rayon effectif</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Effective radius</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Radio efectivo</s0>
<s5>15</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Télédétection</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>remote sensing</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Detección a distancia</s0>
<s5>16</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Forêt Noire</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>Black Forest</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="17" i2="2" l="SPA"><s0>Bosque Negro</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Bade Wurtemberg</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Baden-Wurttemberg Germany</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Bade Wurtemberg</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE"><s0>Allemagne</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="ENG"><s0>Germany</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="SPA"><s0>Alemania</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="FRE"><s0>Europe Centrale</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="ENG"><s0>Central Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="SPA"><s0>Europa central</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="04" i2="2" l="FRE"><s0>Europe</s0>
<s2>564</s2>
</fC07>
<fC07 i1="04" i2="2" l="ENG"><s0>Europe</s0>
<s2>564</s2>
</fC07>
<fC07 i1="04" i2="2" l="SPA"><s0>Europa</s0>
<s2>564</s2>
</fC07>
<fN21><s1>101</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

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	Serveur d'exploration sur les relations entre la France et l'Australie
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Serveur d'exploration sur les relations entre la France et l'Australie

Cloud statistics and cloud radiative effect for a low-mountain site

Cloud statistics and cloud radiative effect for a low-mountain site

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