Littérature scientifique sur le sujet « Atmospheric cloud »
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Articles de revues sur le sujet "Atmospheric cloud"
Chou, Ming-Dah, Kyu-Tae Lee, Si-Chee Tsay et Qiang Fu. « Parameterization for Cloud Longwave Scattering for Use in Atmospheric Models ». Journal of Climate 12, no 1 (1 janvier 1999) : 159–69. http://dx.doi.org/10.1175/1520-0442-12.1.159.
Texte intégralKomacek, Thaddeus D., Xianyu Tan, Peter Gao et Elspeth K. H. Lee. « Patchy Nightside Clouds on Ultra-hot Jupiters : General Circulation Model Simulations with Radiatively Active Cloud Tracers ». Astrophysical Journal 934, no 1 (1 juillet 2022) : 79. http://dx.doi.org/10.3847/1538-4357/ac7723.
Texte intégralHarrop, Bryce E., et Dennis L. Hartmann. « The Relationship between Atmospheric Convective Radiative Effect and Net Energy Transport in the Tropical Warm Pool ». Journal of Climate 28, no 21 (30 octobre 2015) : 8620–33. http://dx.doi.org/10.1175/jcli-d-15-0151.1.
Texte intégralErrico, Ronald M., George Ohring, Fuzhong Weng, Peter Bauer, Brad Ferrier, Jean-François Mahfouf et Joe Turk. « Assimilation of Satellite Cloud and Precipitation Observations in Numerical Weather Prediction Models : Introduction to the JAS Special Collection ». Journal of the Atmospheric Sciences 64, no 11 (1 novembre 2007) : 3737–41. http://dx.doi.org/10.1175/2007jas2622.1.
Texte intégralKoren, I., L. Oreopoulos, G. Feingold, L. A. Remer et O. Altaratz. « How small is a small cloud ? » Atmospheric Chemistry and Physics 8, no 14 (21 juillet 2008) : 3855–64. http://dx.doi.org/10.5194/acp-8-3855-2008.
Texte intégralKato, Seiji, Fred G. Rose, David A. Rutan et Thomas P. Charlock. « Cloud Effects on the Meridional Atmospheric Energy Budget Estimated from Clouds and the Earth’s Radiant Energy System (CERES) Data ». Journal of Climate 21, no 17 (1 septembre 2008) : 4223–41. http://dx.doi.org/10.1175/2008jcli1982.1.
Texte intégralMollière, P., T. Stolker, S. Lacour, G. P. P. L. Otten, J. Shangguan, B. Charnay, T. Molyarova et al. « Retrieving scattering clouds and disequilibrium chemistry in the atmosphere of HR 8799e ». Astronomy & ; Astrophysics 640 (août 2020) : A131. http://dx.doi.org/10.1051/0004-6361/202038325.
Texte intégralShupe, Matthew D., David D. Turner, Von P. Walden, Ralf Bennartz, Maria P. Cadeddu, Benjamin B. Castellani, Christopher J. Cox et al. « High and Dry : New Observations of Tropospheric and Cloud Properties above the Greenland Ice Sheet ». Bulletin of the American Meteorological Society 94, no 2 (1 février 2013) : 169–86. http://dx.doi.org/10.1175/bams-d-11-00249.1.
Texte intégralBurley, Jarred L., Steven T. Fiorino, Brannon J. Elmore et Jaclyn E. Schmidt. « A Remote Sensing and Atmospheric Correction Method for Assessing Multispectral Radiative Transfer through Realistic Atmospheres and Clouds ». Journal of Atmospheric and Oceanic Technology 36, no 2 (1 février 2019) : 203–16. http://dx.doi.org/10.1175/jtech-d-18-0078.1.
Texte intégralVoiculescu, Mirela. « Special Issue Atmospheric Composition and Cloud Cover Observations ». Atmosphere 12, no 1 (31 décembre 2020) : 56. http://dx.doi.org/10.3390/atmos12010056.
Texte intégralThèses sur le sujet "Atmospheric cloud"
Barahona, Donifan. « On the representation of aerosol-cloud interactions in atmospheric models ». Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/41169.
Texte intégralPaunova, Irena T. « Explicit numerical study of aerosol-cloud interactions in boundary layer clouds ». Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100670.
Texte intégralThree summertime cases have been evaluated: a marine stratus and a cold frontal system over the Bay of Fundy near Nova Scotia, formed on 1 Sep 1995 and extensively sampled as a part of the Radiation, Aerosol, and Cloud Experiment (RACE); and a continental stratocumulus, formed over the southern coast of Lake Erie on 11 July 2001. The marine stratus and the frontal system have been examined for the effects of aerosol on cloud properties and thoroughly evaluated against the available observations. The frontal system and the continental stratocumulus have been evaluated for the effects of cloud processing on the aerosol spectrum.
The marine stratus simulations suggest a significant impact of the aerosol on cloud properties. A simulation with mechanistic activation and a uni-modal aerosol showed the best agreement with observations in regards to cloud-base and cloud-top height, droplet concentration, and liquid water content. A simulation with a simple activation parameterization failed to simulate essential bulk cloud properties: droplet concentration was significantly underpredicted and the vertical structure of the cloud was inconsistent with the observations. A simulation with a mechanistic parameterization and a bi-modal aerosol, including a coarse mode observed in particle spectra below cloud, showed high sensitivity of droplet concentration to the inclusion of the coarse mode. There was a significant reduction in droplet number relative to the simulation without the coarse mode. A similar change occurred in the precipitating system preceding the stratus formation, resulting in an enhancement of precipitation in the weaker (upstream) part of the system while the precipitation in the more vigorous (downstream) part of the system remained almost unaffected.
Aerosol processing via collision-coalescence and aqueous chemistry in the non-drizzling stratocumulus case suggests that impact of the two mechanisms is of similar magnitude and can be as large as a 3-5 % increase in particle mean radius. A more detailed analysis reveals that the impact of chemical processing is oxidant-limited; beyond times when the oxidant (H 2O2) is depleted (∼ 40 minutes), the extent of processing is determined by supply of fresh oxidant from large-scale advection (fresh gaseous emissions are not considered). Aerosol processing via drop collision-coalescence alone suggests, as expected, sensitivity to the strength of the collection process in clouds. Larger particle growth, up to 5-10 %, is observed in the case of the frontal clouds, which exhibit stronger drop collection compared to that in the stratocumulus case. The processed aerosol exerted a measurable impact on droplet concentrations and precipitation production in the frontal clouds. For the case modeled here, contrary to expectations, the processed spectrum (via physical processing) produced higher droplet concentration than the unprocessed spectrum. The reasons explaining this phenomenon and the resulting impact on precipitation production are discussed.
The current work illustrates the complexity of the coupled system at the cloud system scales, revealed earlier at much smaller large eddy scales. If future parameterizations of the regional effect of aerosols on clouds are to be developed, careful consideration is required of the many of feedbacks in the boundary layer.
Nugent, Paul Winston. « Wide-angle infrared cloud imaging for cloud cover statistics ». Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/nugent/NugentP0508.pdf.
Texte intégralBrösamlen, Gerd. « Radiative transfer in lognormal multifractal clouds and analysis of cloud liquid water data ». Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68158.
Texte intégralDavid, Robert O. « Cloud Dynamics and Microphysics during CAMPS| A Comparison between Airborne and Mountaintop Cloud Microphysics ». Thesis, University of Nevada, Reno, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1591334.
Texte intégralOrographically-enhanced clouds are essential for global hydrological cycles. To better understand the structure and microphysics of orographically-enhanced clouds, an airborne study, the Colorado Airborne Mixed-Phase Cloud Study (CAMPS), and a ground-based field campaign, the Storm Peak Lab (SPL) Cloud Property Validation Experiment (StormVEx) were conducted in the Park Range of the Colorado Rockies. The CAMPS study utilized the University of Wyoming King Air (UWKA) to provide airborne cloud microphysical and meteorological data on 29 flights totaling 98 flight hours over the Park Range from December 15, 2010 to February 28, 2011. The UWKA was equipped with instruments that measured cloud droplet and ice crystal size distributions, liquid water content, and 3-dimensional wind speed and direction. The Wyoming Cloud Radar and LiDAR were also deployed during the campaign. These measurements are used to characterize cloud structure upwind and above the Park Range. StormVEx measured temperature and cloud droplet and ice crystal size distributions at SPL. The observations from SPL are used to determine mountain top cloud microphysical properties at elevations lower than the UWKA was able to sample in-situ. To assess terrain flow effects on cloud microphysics and structure, vertical profiles of temperature, humidity and wind were obtained from balloon borne soundings and verified with high resolution modeling. Comparisons showed that cloud microphysics aloft and at the surface were consistent with respect to snow growth processes and previous studies on terrain flow effects. Small ice crystal concentrations were routinely higher at the surface and a relationship between small ice crystal concentrations, large cloud droplet concentrations and temperature was observed, suggesting liquid-dependent ice nucleation near cloud base.
Miller, Daniel J. « Satellite Simulator Studies of the Impact of Cloud Inhomogeneity on Passive Cloud Remote Sensing Retrievals ». Thesis, University of Maryland, Baltimore County, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10642202.
Texte intégralSatellite cloud remote sensing provides us the opportunity to study the spatial and temporal distributions of marine boundary layer clouds, as well as their connections with environments on a global scale. However, cloud remote sensing is not without difficulties; retrievals require numerous simplifying assumptions, placing limits on our understanding of cloud processes. Passive remote sensing retrievals often assume that clouds are homogeneous slabs, when in reality, these clouds often have complex inhomogeneous vertical and horizontal structures. Enhancing our understanding of how cloud inhomogeneity influences passive cloud remote sensing requires comparison between cloud retrievals and the underlying cloud properties. In observational data-sets this can become problematic, as it is difficult to compare satellite and airborne measurements because they have both different observed spatial scales and sensitivities to cloud properties. To avoid these complications, this work is based on a satellite retrieval simulator – a Large-Eddy Simulation (LES) cloud model coupled to radiative transfer and retrieval algorithms. The LES-satellite simulator can be used to study the source of retrieval biases. It provides the underlying realistic cloud structure as a reference, informing conclusions about its impact on various cloud retrieval methods. In the first step we focus on cloud vertical profile, finding that the selection of appropriate vertical profile assumptions for the retrieval of cloud liquid water path. Confirming previous studies, drizzle and cloud top entrainment of dry air are identified as physical features that bias liquid water path retrievals away from adiabatic and toward homogeneous profile assumptions. The mean bias induced by drizzle-influenced profiles was shown to be on the order of 5–10 grams per meter squared. In contrast, the influence of cloud top entrainment was found to be smaller by about a factor of 2. A theoretical framework is also developed to explain variability in LWP retrievals by introducing modifications to the adiabatic effective radius profile. The second step focuses on horizontal inhomogeneity and exploring a comparison of both the bispectral and polarimetric cloud retrieval techniques. Using the satellite retrieval simulator we are able to verify that at high spatial resolution (50 meters) the bispectral and polarimetric retrievals are indeed highly correlated with one another. The small differences at high spatial resolution can be attributed to different sensitivity limitations of the two retrievals. In contrast, a systematic difference between the two effective radius retrievals emerges at coarser resolution. This bias largely stems from differences related to sensitivity of the two retrievals to unresolved inhomogeneities in effective variance and optical thickness. The influence of coarse angular resolution is found to increase uncertainty in the polarimetric effective radius retrieval, but generally maintains a constant mean value. The third study focuses on 3-D radiative effects influencing both total and polarized reflectances and retrievals. Comparisons between the 1-D and 3-D reflectances are made in order to study horizontal photon transfer and radiative smoothing. We find noticeable differences between the total and polarized reflectance 3-D effects, with radiative smoothing and roughening occurring at different scales as well as viewing geometry dependence. Despite these apparently strong 3-D effects on polarized reflectances, the polarimetric retrieval is robust to the influence of 3-D effects – with only sub-micron biases in the retrieval of effective radius.
Duane, William John. « Correcting middle infrared cloud reflectances for atmospheric effects ». Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324809.
Texte intégralGrandey, Benjamin Stephen. « Investigating aerosol-cloud interactions ». Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:8b48c02b-3d43-4b04-ae55-d9885960103d.
Texte intégralVaillancourt, Paul. « Numerical experiments on entrainment, mixing and their effect on cloud dropsize distributions in a cumulus cloud ». Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61085.
Texte intégralResults show that vortex circulations and penetrative downdrafts are responsible for entrainment of clear air into the cloud structure. Entrainment and mixing are more severe on the downshear side of the cloud leading to a more fragmented structure and often to total dissipation of cloudy air rather than partial dilution as is the case on the upshear side. Mixing followed by uplifting leads to fresh activation of cloud droplets and results in multimodal spectra. In areas where mixing has occurred, the spectra exhibit smaller average radius and larger standard deviation.
Zhong, Weiguo. « Characteristics of the Pinatubo aerosol cloud ». Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290573.
Texte intégralLivres sur le sujet "Atmospheric cloud"
Bai︠a︡nov, I. M. Cloud formation. New York : Nova Science Publishers, 2011.
Trouver le texte intégralBerger, Franz Herbert. Die Bestimmung des Einflusses von hohen Wolken auf das Strahlungsfeld und auf das Klima durch Analyse von NOAA AVHRR-Daten : (DK551.501.776 ...). Berlin : D. Reimer, 1992.
Trouver le texte intégralSandro, Fuzzi, dir. The Kleiner Feldberg Cloud Experiment 1990 : Eurotrac Subproject Ground-based Cloud Experiment (GCE). Dordrecht : Kluwer Academic Publishers, 1995.
Trouver le texte intégralAllen, Zak Joseph, et United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., dir. A cloud model simulation of space shuttle exhaust clouds in different atmospheric conditions. [Washington, DC] : National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.
Trouver le texte intégralA, Khananʹi͡a︡n A., dir. Fizika verkhneĭ atmosfery. Moskva : Moskovskoe otd-nie Gidrometeoizdata, 1990.
Trouver le texte intégralH, Helsdon John, Farley Richard D et George C. Marshall Space Flight Center., dir. A cloud, precipitation and electrification modeling effort for COHMEX. Rapid City, S.D : Institute of Atmospheric Sciences, South Dakota School of Mines and Technology, 1991.
Trouver le texte intégralJ, Heintzenberg, et Charlson Robert J, dir. Clouds in the perturbed climate system : Their relationship to energy balance, atmospheric dynamics, and precipitation. Cambridge, MA : MIT Press, 2009.
Trouver le texte intégralChen, C. A cloud model simulation of space shuttle exhaust clouds in different atmospheric conditions. [Washington, DC] : National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.
Trouver le texte intégralZak, J. Allen. Operational implications of a cloud model simulation of space shuttle exhaust clouds in different atmospheric conditions. Huntsville, Ala : Marshall Space Flight Center, 1989.
Trouver le texte intégralN, Nevzorov A., dir. Voprosy fiziki oblakov i atmosfernoĭ turbulentnosti. Moskva : Moskovskoe otd-nie Gidrometeoizdata, 1992.
Trouver le texte intégralChapitres de livres sur le sujet "Atmospheric cloud"
Boucher, Olivier. « Aerosol–Cloud Interactions ». Dans Atmospheric Aerosols, 193–226. Dordrecht : Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9649-1_9.
Texte intégralHagen, Martin, Hartmut Höller et Kersten Schmidt. « Cloud and Precipitation Radar ». Dans Atmospheric Physics, 347–61. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30183-4_21.
Texte intégralKrishnamurti, T. N., Lydia Stefanova et Vasubandhu Misra. « Tropical Cloud Ensembles ». Dans Springer Atmospheric Sciences, 233–59. New York, NY : Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7409-8_11.
Texte intégralBugliaro, Luca, Hermann Mannstein et Stephan Kox. « Ice Cloud Properties From Space ». Dans Atmospheric Physics, 417–32. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30183-4_25.
Texte intégralWagner, T., T. Senne, F. Erle, C. Otten, J. Stutz, K. Pfeilsticker et U. Platt. « Determination of Cloud Properties and Cloud Type from DOAS-Measurements ». Dans Atmospheric Ozone Dynamics, 327–36. Berlin, Heidelberg : Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60797-4_27.
Texte intégralUnterstrasser, Simon, Ingo Sölch et Klaus Gierens. « Cloud Resolving Modeling of Contrail Evolution ». Dans Atmospheric Physics, 543–59. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30183-4_33.
Texte intégralArking, Albert, Jeffrey D. Childs et John Merritt. « Remote Sensing of Cloud Cover Parameters ». Dans Atmospheric Radiation, 473–88. Boston, MA : American Meteorological Society, 1987. http://dx.doi.org/10.1007/978-1-935704-18-8_70.
Texte intégralWu, Man-Li C. « Remote Sensing of Cloud Physical Parameters ». Dans Atmospheric Radiation, 504–7. Boston, MA : American Meteorological Society, 1987. http://dx.doi.org/10.1007/978-1-935704-18-8_73.
Texte intégralStathopoulos, S., K. Kourtidis et A. K. Georgoulias. « Aerosol–Cloud Relations for Cloud Systems of Different Heights ». Dans Perspectives on Atmospheric Sciences, 769–74. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-35095-0_110.
Texte intégralChing, J. K. S., S. T. Shipley, E. V. Browell et D. A. Brewer. « Cumulus Cloud Venting of Mixed Layer Ozone ». Dans Atmospheric Ozone, 745–49. Dordrecht : Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5313-0_146.
Texte intégralActes de conférences sur le sujet "Atmospheric cloud"
Hofstadter, Mark, et Andrew Heidinger. « Infrared Low-Cloud Detection ». Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.otub.5.
Texte intégralAlvarez, J. M., et M. A. Vaughn. « Numerical Calculation of Cloud Optical Extinction from Lidar ». Dans Inaugural Forum for the Research Center for Optical Physics. Washington, D.C. : Optica Publishing Group, 1993. http://dx.doi.org/10.1364/rcop.1993.tpl90.
Texte intégralChubarova, Natalia, Julia Khlestova, Marina Shatunova, Vladimir Platonov, Gdaly Rivin, Ulrich Görsdorf et Ralf Becker. « Cloud characteristics and cloud radiative effects according to COSMO mesoscale model and measurements ». Dans XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, sous la direction de Oleg A. Romanovskii et Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2504340.
Texte intégralManninen, Hanna E., Hannes Tammet, Antti Mäkelä, Jussi Haapalainen, Sander Mirme, Tuomo Nieminen, Alessandro Franchin, Tuukka Petäjä, Markku Kulmala et Urmas Hõrrak. « Atmospheric electricity and aerosol-cloud interactions in earth’s atmosphere ». Dans NUCLEATION AND ATMOSPHERIC AEROSOLS : 19th International Conference. AIP, 2013. http://dx.doi.org/10.1063/1.4803390.
Texte intégralMoncet, J. L., et S. A. Clough. « Retrieval of Effective Cloud Radiative Properties from Ground Based Spectral Measurements ». Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.othc.4.
Texte intégralSassen, Kenneth. « Cirrus Cloud Remote Sensing Program at FARS ». Dans Optical Remote Sensing of the Atmosphere. Washington, D.C. : Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb1.
Texte intégralIgel, Adele L., Susan C. van den Heever, Catherine M. Naud, Stephen M. Saleeby et Derek J. Posselt. « Impacts of cloud condensation nuclei on deep stratus clouds ». Dans NUCLEATION AND ATMOSPHERIC AEROSOLS : 19th International Conference. AIP, 2013. http://dx.doi.org/10.1063/1.4803374.
Texte intégralShamanaev, Vitalii S., et Ivan E. Penner. « Lidar studies of the upper cloud boudary altitude ». Dans XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, sous la direction de Oleg A. Romanovskii et Gennadii G. Matvienko. SPIE, 2018. http://dx.doi.org/10.1117/12.2503351.
Texte intégralGalileiskii, Viktor P., Alexey I. Elizarov, Dmitrii V. Kokarev, Alexandr M. Morozov et N. N. Skorohod. « Image processing of cloud fields based on satellite data ». Dans XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, sous la direction de Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205238.
Texte intégralPastushkov, A. V., et V. T. Kalayda. « Search and tracking method of cloud fields on image ». Dans XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, sous la direction de Oleg A. Romanovskii. SPIE, 2015. http://dx.doi.org/10.1117/12.2205433.
Texte intégralRapports d'organisations sur le sujet "Atmospheric cloud"
Seinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Fort Belvoir, VA : Defense Technical Information Center, septembre 2006. http://dx.doi.org/10.21236/ada611945.
Texte intégralSeinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Fort Belvoir, VA : Defense Technical Information Center, septembre 2008. http://dx.doi.org/10.21236/ada532930.
Texte intégralSeinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Fort Belvoir, VA : Defense Technical Information Center, septembre 2007. http://dx.doi.org/10.21236/ada541254.
Texte intégralSeinfeld, John H. Aerosol-Cloud-Radiation Interactions in Atmospheric Forecast Models. Fort Belvoir, VA : Defense Technical Information Center, septembre 2009. http://dx.doi.org/10.21236/ada602941.
Texte intégralLewellen, David C., et W. S. Lewellen. Cloud Structure and Entrainment in Marine Atmospheric Boundary Layers. Fort Belvoir, VA : Defense Technical Information Center, septembre 2003. http://dx.doi.org/10.21236/ada629768.
Texte intégralLi, Z., et A. Trishchenko. Quantifying Uncertainties in Determining SW Cloud Radiative Forcing and Cloud Absorption due to Variability in Atmospheric Conditions. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/219772.
Texte intégralWehr, Tobias, dir. EarthCARE Mission Requirements Document. European Space Agency, novembre 2006. http://dx.doi.org/10.5270/esa.earthcare-mrd.2006.
Texte intégralJensen, M., et K. Jensen. Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites. Office of Scientific and Technical Information (OSTI), juin 2006. http://dx.doi.org/10.2172/1021013.
Texte intégralBarker, Howard, et Jason Cole. 3D Atmospheric Radiative Transfer for Cloud System-Resolving Models : Forward Modelling and Observations. Office of Scientific and Technical Information (OSTI), mai 2012. http://dx.doi.org/10.2172/1040616.
Texte intégralFerrare, Richard A. Final Technical Report. Cloud and Radiation Testbed (CART) Raman Lidar measurement of atmospheric aerosols for the Atmospheric Radiation Measurement (ARM) Program. Office of Scientific and Technical Information (OSTI), août 2002. http://dx.doi.org/10.2172/799175.
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