Academic literature on the topic 'Observations par sodar'
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Journal articles on the topic "Observations par sodar"
Trotta, Domenico, Andrew P. Dimmock, Xochitl Blanco-Cano, Robert J. Forsyth, Heli Hietala, Naïs Fargette, Andrea Larosa, et al. "Observation of a Fully-formed Forward–Reverse Shock Pair due to the Interaction between Two Coronal Mass Ejections at 0.5 au." Astrophysical Journal Letters 971, no. 2 (August 1, 2024): L35. http://dx.doi.org/10.3847/2041-8213/ad68fa.
Full textWang, Mingming, and Leiming Zhang. "Synchronous Changes of GPP and Solar-Induced Chlorophyll Fluorescence in a Subtropical Evergreen Coniferous Forest." Plants 12, no. 11 (June 5, 2023): 2224. http://dx.doi.org/10.3390/plants12112224.
Full textGerland, S., G. E. Liston, J. G. winther, J. B. Ørbæk, and B. V. Ivanov. "Attenuation of solar radiation in Arctic snow: field observations and modelling." Annals of Glaciology 31 (2000): 364–68. http://dx.doi.org/10.3189/172756400781820444.
Full textJoiner, Joanna, Yasuko Yoshida, Philipp Köehler, Petya Campbell, Christian Frankenberg, Christiaan van der Tol, Peiqi Yang, Nicholas Parazoo, Luis Guanter, and Ying Sun. "Systematic Orbital Geometry-Dependent Variations in Satellite Solar-Induced Fluorescence (SIF) Retrievals." Remote Sensing 12, no. 15 (July 22, 2020): 2346. http://dx.doi.org/10.3390/rs12152346.
Full textBisoi, Susanta Kumar, and P. Janardhan. "Observations of a geomagnetic SI+ – SI− pair and associated solar wind fluctuations." Proceedings of the International Astronomical Union 8, S294 (August 2012): 543–44. http://dx.doi.org/10.1017/s1743921313003141.
Full textRen, Xiaoli, Honglin He, Li Zhang, and Guirui Yu. "Global radiation, photosynthetically active radiation, and the diffuse component dataset of China, 1981–2010." Earth System Science Data 10, no. 3 (July 5, 2018): 1217–26. http://dx.doi.org/10.5194/essd-10-1217-2018.
Full textDorf, M., H. Bösch, A. Butz, C. Camy-Peyret, M. P. Chipperfield, A. Engel, F. Goutail, et al. "Balloon-borne stratospheric BrO measurements: comparison with Envisat/SCIAMACHY BrO limb profiles." Atmospheric Chemistry and Physics Discussions 5, no. 6 (December 19, 2005): 13011–52. http://dx.doi.org/10.5194/acpd-5-13011-2005.
Full textBai, Jianhui. "Observations and estimations of PAR and solar visible radiation in North China." Journal of Atmospheric Chemistry 69, no. 3 (September 2012): 231–52. http://dx.doi.org/10.1007/s10874-012-9239-0.
Full textGUO, Haiqiang. "A dataset of carbon dioxide flux from Chongming Dongtan Wetland of Shanghai during 2004–2010." China Scientific Data 9, no. 1 (March 31, 2024): 1–5. http://dx.doi.org/10.11922/11-6035.csd.2023.0043.zh.
Full textCubas Armas, Melania, and Damian Fabbian. "Do MURaM and STAGGER Simulations of Solar Faculae Match Observational Signatures from Magnetic Structures?" Astrophysical Journal 923, no. 2 (December 1, 2021): 207. http://dx.doi.org/10.3847/1538-4357/ac2605.
Full textDissertations / Theses on the topic "Observations par sodar"
Aligné, Thomas. "Assimilation variationnelle des observations de sondeurs infrarouges hyperspectraux : correction de biais et la détection nuageuse." Toulouse 3, 2007. http://www.theses.fr/2007TOU30038.
Full textPangaud, Thomas. "Assimilation des radiances des sondeurs infrarouges hyperspectraux en condition nuageuse : application à des cyclogénèses extratropicales." Toulouse 3, 2009. http://thesesups.ups-tlse.fr/772/.
Full textThe main goal of this PhD work is to propose an approach to deal with high-spectral-resolution infrared sounders in cloudy conditions. Untill now, these observations were rejected by the data assimilation system due to the complex nature of clouds and to their non-linear processes evolving into spatiotemporal scales lower than those of the model. The emergence of variational techniques as well as improvements achieved in terms of cloud modelisation and radiative transfer revived the interests of the scientific community for the assimilation of cloudy radiances. Indeed most measurements from high-spectral-resolution infrared sounders, and in particular, in atmospheric sensitive regions, are contaminated by clouds. The approach proposed here to deal with cloudy radiances is based on the combined information from the cloud detection algorithm developped by the ECMWF and the CO2-Slicing cloud characterization algorithm. To be efficient, this scheme thus needs a good correspondance in terms of cloud detection between these two algorithms. The fist part of this study demonstrates that these two algorithms are able to detect clouds efficiently. The good correspondance in performances obtained from both algorithms justify their conjoint use to assimilate cloudy radiances. The assimilation scheme developped in this PhD work enables to increase the total amount of assimilated observations by more than 10% for AIRS and by more than 12% for IASI, additional observations are mainly located at mid to high latitudes. In addition, taking into account the cloud effect into the observation operator leads to model equivalents more consistent with true observations. Experiments performed with the AIRS sounder exhibit a positive but not significant impact on forecasts for the temperature, the humidity and the wind. The impact is significantly positive for the geopotential. Preliminary experiments performed with the IASI sounder exhibit a rather mitigated impact. Taking into account cloudy radiances from high-spectral-resolution infrared sounders improves the predictability of intense event for both study cases treated in this work (a mediterrean storm occuring on the 26th of september 2006 and an atlantic storm on the 24th of january 2009). The operational assimilation of this kind of data will certainly enable, among others, a better risk management et thus a more efficient hazard prevention
Boucher, Eulalie. "Designing Deep-Learning models for surface and atmospheric retrievals from the IASI infrared sounder." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS145.
Full textObserving the Earth is vital to comprehend and monitor the complex behaviour of our planet. Satellites, equipped with a number of sophisticated sensors, serve as a key platform for this, offering an opportunity to observe the Earth globally and continuously. Machine Learning (ML) techniques have been used in the remote sensing community for several decades to deal with the vast amount of data generated daily by Earth observation systems. The revolution brought about by novel Deep Learning (DL) techniques has however opened up new possibilities for the exploitation of satellite observations. This research aims to show that image-processing techniques such as Convolutional Neural Networks (CNNs), provided that they are well mastered, have the potential to improve the estimation of the Earth's atmospheric and surface parameters. By looking at the observations at the image scale rather than at the pixel scale, spatial dependencies can be taken into account. Such techniques will be used for the retrieval of surface and atmospheric temperatures, as well as cloud detection and classification from the Infrared Atmospheric Sounding Interferometer (IASI) observations. IASI, onboard the polar orbiting satellites Metop, is a hyperspectral sounder gathering data across a broad range of infrared wavelengths that are suitable to identify atmospheric constituents for a range of atmospheric vertical levels, as well as surface parameters. In addition to improving the quality of the retrievals, such Artificial Intelligence (AI) methods are capable of dealing with images that contain missing data, better estimating extreme events (often overlooked by traditional ML techniques) and estimating retrieval uncertainties. This thesis shows why AI methods should be the preferred approach for the exploitation of observations coming from new satellite missions such as IASI-NG or MTG-S IRS
Tournadre, Benoît. "Heliosat-V ˸ une méthode polyvalente d’estimation du rayonnement solaire au sol par satellite." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM063.
Full textSolar irradiance at the surface of the Earth is recognized as an essential climate variable by the World Meteorological Organization. Its knowledge is as much important for climate sciences as for the development of energy alternatives to fossil fuels, like solar photovoltaic. Ground measurements of this radiation are very sparse on Earth, explaining the interest for satellite-based remote sensing to estimate it. Combining estimations from different satellites in orbit is a pathway to cover the information on the whole globe. Different generations of satellites also produced a multidecadal imagery of the Earth, making it conceivable to estimate long time series of solar radiation, or even to identify long-term variations, a recurrent objective in the study of climate change. For more than 30 years, Heliosat methods estimate surface solar irradiance from satellite imagery, but they have been designed to be applied to a specific sensor on a geostationary orbit, and have limitations in their scope : the need for a long archive of satellite imagery (Heliosat, Heliosat-2), or else the need for multispectral measurements (Heliosat-4). This work dedicated to the development of a Heliosat-V method brings elements of versatility to the satellite-based estimation from so-called "cloud-index" methods, with the ultimate goal to reach homogeneous data of solar radiation derived from measurements made by different satellite instruments. Two issues are in particular considered here to reach such an estimation: the diversity of sensors in terms of spectral sensitivities, and the influence of viewing and solar geometries on spaceborne measurements. The method extensively deals with radiative transfer modeling in the spectral range 400-1000 nm to simulate on one hand satellite measurements in clear-sky conditions, and on the other hand satellite measurements in the presence of an optically thick cloud. The method is tested on the imagery of a geostationary satellite instrument, Meteosat-9/SEVIRI, and in a more exploratory way, on the non geostationary sensor DSCOVR/EPIC. Results are compared to high quality ground-based measurements of irradiance, and show performances similar to operational satellite products. However, the quality of estimates depends on the spectral channel used, and especially of the presence of clear-sky atmospheric scattering or absorption in the signal measured by the satellite instrument. The accent is also put on the need for an accurate absolute calibration of satellite radiometric measurements in order to produce time series of surface solar irradiance with the smallest biases and temporal drift possible
Ruffenach, Alexis. "Observation et modélisation de l'érosion des nuages magnétiques solaires par reconnexion magnétique." Phd thesis, Université Paul Sabatier - Toulouse III, 2013. http://tel.archives-ouvertes.fr/tel-00953668.
Full textEisenbeis, Julian. "Ionospheric Dynamics by GNSS total electron content observations : the effect of Solar Eclipses and the mystery of Earthquake precursors." Thesis, Université de Paris (2019-....), 2020. http://www.theses.fr/2020UNIP7027.
Full textThis thesis focuses mainly on two topics: one is the ionospheric signature of solar eclipses, the second is the Hole vs Enhancement debate about earthquake precursors. On the 21st August 2017 the shadow of a total eclipse drastically changed the state of the ionosphere over the USA. This effect is visible in the total electron content (TEC) measured by ~3000 GNSS stations seeing multiple GPS and GLONASS satellites. This tremendous dataset allows high-resolution characterization of the frequency content and wavelengths -using an omega-k analysis based on 3D Fast-Fourier-Transform (FFT)- of the eclipse signature in the ionosphere in order to fully identify traveling ionospheric disturbances (TIDs). We confirm the generation of TIDs associated with the eclipse including TIDs interpreted as bow waves in previous studies. Additionally we reveal, for the first time, short (50-100 km) and long (500-600 km) wavelength TIDs with periods between 30 and 65 min (Eisenbeis et al., 2019). On 2nd July 2019 another total solar eclipse happened across the South American continent at magnetic conjugate latitudes as the Great American Eclipse, and consequently useful to visualize the difference response. Although for the South American eclipse we have only data from more than hundred GNSS stations and located in a zone close to the sunset, we can show the clear evidence of the ionospheric signature of the eclipse (Eisenbeis & Occhipinti in prep.a).The second major topic in this work is the still ongoing debate about the possibility of earthquake precursors. Heki (2011) sparked this debate when he published results of the Tohoku earthquake showing a TEC enhancement before the earthquake. The enhancement claimed by Heki (2011) has been interpreted as a decrease in the background TEC after the seismic event, the so called ionospheric hole in literature. The existence of the enhancement has been promoted by several papers (e.g. He & Heki, 2017) extending the observation to several events with moderate magnitude (M> 7.5) and proposes a new vision of the rupture dynamics. By trying to reproduce their results we show that the reference curve used by Heki (2011) to define the TEC background is strongly affected by the order of polynomial fit as well as the selected time windows. This shows that the TEC enhancement could be, in fact, just an artifact, subjectively selected to create the presumed precursor (Eisenbeis & Occhipinti in prep.b)
Kurzrock, Frederik. "Assimilation de données satellitaires géostationnaires dans des modèles atmosphériques à aire limitée pour la prévision du rayonnement solaire en région tropicale." Thesis, La Réunion, 2019. https://elgebar.univ-reunion.fr/login?url=http://thesesenligne.univ.run/19_13_FKurzrock.pdf.
Full textThe variability of solar irradiance necessitates to limit the instantaneous feed-in of solar power to electricity grids. An improvement of solar irradiance forecasts would allow to increase the defined threshold limits, especially in non-interconnected zones such as Reunion Island. Achieving higher forecast accuracy is particularly challenging in the case of tropical islands due to pronounced convection and local thermal circulations. Limited-area numerical weather prediction (NWP) models allow to forecast cloud processes and solar irradiance at high spatio-temporal resolutions of a few kilometres and minutes. Nevertheless, they often fail to accurately predict cloudiness evolution and thus tend to overestimate solar irradiance. Refining the initial conditions of regional models in terms of clouds is an efficient means for improving short-term cloud cover and irradiance forecasts. The assimilation of geostationary meteorological satellite observations can achieve this improvement. Nevertheless, a variety of satellite data assimilation (DA) approaches exist and research has focused on mid-latitudes so far. This thesis deals with the assimilation of geostationary satellite observations with limited-area models in the southwestern Indian Ocean. In a first step, the state of the art in terms of existing approaches for radiance and cloud property retrieval assimilation with regional-scale models is reviewed. In consequence, one of the most promising approaches is identified and applied to the southwestern Indian Ocean. In the performed experiments, multi-phase cloud water path retrievals from NASA Langley's SatCORPS cloud products are assimilated with an ensemble Kalman filter using the Weather Research and Forecasting model. A 41-member ensemble at 12 km grid spacing is applied with a DA cycling interval of 6 hours. The Data Assimilation Research Testbed and its forward operator for cloud water path are used to assimilate gridded cloud water retrievals in the ice, supercooled liquid, and liquid phase. The impact of this assimilation approach on forecasts of global horizontal irradiance (GHI) is evaluated for austral summer 2017/2018 using pyranometer observations on Reunion Island. A distinct positive impact of the applied method on the first 14 hours of GHI forecasts is found. Different aspects of the forecast improvement due to DA are analysed by means of control experiments without DA, experiments with a nested domain at 4 km grid spacing, and a comparison with operational NWP models. As the utilised gridded cloud products are available globally, the method offers a portable and globally applicable approach that may also be evaluated for other regions of the Earth
Books on the topic "Observations par sodar"
Dunlop, Storm. 9. Worldwide effects and forecasting. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780199571314.003.0009.
Full textBalyshev, Marat. Astronomical research in Kharkiv at the end of the 19th century – the first half of the 20th century. “Naukova Dumka”, 2022. http://dx.doi.org/10.15407/978-966-00-1863-1.
Full textBook chapters on the topic "Observations par sodar"
Goss, W. M., Claire Hooker, and Ronald D. Ekers. "The Sun and the Ionosphere, 1946–1955." In Historical & Cultural Astronomy, 381–91. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-07916-0_25.
Full textAltschuler, Daniel R., and Fernando J. Ballesteros. "Understanding the Moon." In The Women of the Moon, 5–34. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198844419.003.0002.
Full textChambers, John, and Jacqueline Mitton. "Worlds of Gas and Ice." In From Dust to Life. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691175706.003.0012.
Full textEaston, Robert W. "Examples." In Geometric Methods for Discrete Dynamical Systems, 3–17. Oxford University PressNew York, NY, 1998. http://dx.doi.org/10.1093/oso/9780195085457.003.0001.
Full textHe, Fei, Zhonghua Yao, and Yong Wei. "Optical Remote Sensing of Planetary Space Environment." In Remote Sensing [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98427.
Full textBertuglia, Cristoforo Sergio, and Franco Vaio. "Modelling." In Nonlinearity, Chaos, and Complexity, 10–18. Oxford University PressOxford, 2005. http://dx.doi.org/10.1093/oso/9780198567905.003.0002.
Full textKattawar, George W. "Polarization of Light in the Ocean." In Ocean Optics. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195068436.003.0015.
Full textWylie, Donald P. "Cirrus and Weather: A Satellite Perspective." In Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0010.
Full textConference papers on the topic "Observations par sodar"
Martazinova, Vazira, Vitalii Shpyg, and Yaroslav Kykhtenko. "Analysis of solar radiation changes in large cities of Ukraine in the summer period." In International Conference of Young Scientists on Meteorology, Hydrology and Environmental Monitoring. Ukrainian Hydrometeorological Institute, 2023. http://dx.doi.org/10.15407/icys-mhem.2023.021.
Full textHoshizaki, A. James. "Operating Experience of the First Solar® Taurus 70S Mechanical Drive Installation." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-354.
Full textMcElroy, C. T., J. B. Kerr, D. I. Wardle, L. J. B. McArthur, G. M. Shah, M. Garneau, S. G. MacLean, et al. "SPEAM-I Observations of High-Altitude Ozone from STS 41-G." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/orsa.1991.pdp3.
Full textIto, A., H. Nakanishi, K. Takayama, I. Kawayama, H. Murakami, and M. Tonouchi. "Observation of THz emissions from various types of solar cells using laser terahertz emission microscope." In 2013 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR). IEEE, 2013. http://dx.doi.org/10.1109/cleopr.2013.6600523.
Full textMcCormick, M. P. "SAGE III." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.mb8.
Full textGunson, M. R., and C. B. Farmer. "Overview of Atmos Results from Spacelab 3." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.mc2.
Full textBower, D., M. Bielski, E. Mangan, D. Schell, K. Ghahremani, and D. Gee. "Achieving Climate Control With Renewable Energy." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10751.
Full textYang, Shu, and Cornel Sultan. "Free Vibration and Modal Analysis of a Tensegrity-Membrane System." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59292.
Full textShamlooh, Mohamed, Ahmed Hamza, Ibnelwaleed A. Hussein, Mustafa S. Nasser, and Saeed Salehi. "Investigation on the Effect of Mud Additives on the Gelation Performance of PAM/PEI System for Lost Circulation Control." In SPE Europec featured at 82nd EAGE Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205184-ms.
Full textTyagi, Pawan. "Spin Photovoltaic Effect on Molecule Coupled Ferromagnetic Films of a Magnetic Tunnel Junction." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63866.
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