14 results on '"Capelle, V."'
Search Results
2. Detection of IASI dust AOD trends over Sahara: How many years of data required?
- Author
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Chedin, A., Capelle, V., and Scott, N.A.
- Published
- 2018
- Full Text
- View/download PDF
3. Infrared dust aerosol optical depth retrieved daily from IASI and comparison with AERONET over the period 2007–2016
- Author
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Capelle, V., Chédin, A., Pondrom, M., Crevoisier, C., Armante, R., Crepeau, L., and Scott, N.A.
- Published
- 2018
- Full Text
- View/download PDF
4. The 2015 edition of the GEISA spectroscopic database
- Author
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Jacquinet-Husson, N., Armante, R., Scott, N.A., Chédin, A., Crépeau, L., Boutammine, C., Bouhdaoui, A., Crevoisier, C., Capelle, V., Boonne, C., Poulet-Crovisier, N., Barbe, A., Chris Benner, D., Boudon, V., Brown, L.R., Buldyreva, J., Campargue, A., Coudert, L.H., Devi, V.M., Down, M.J., Drouin, B.J., Fayt, A., Fittschen, C., Flaud, J.-M., Gamache, R.R., Harrison, J.J., Hill, C., Hodnebrog, Ø., Hu, S.-M., Jacquemart, D., Jolly, A., Jiménez, E., Lavrentieva, N.N., Liu, A.-W., Lodi, L., Lyulin, O.M., Massie, S.T., Mikhailenko, S., Müller, H.S.P., Naumenko, O.V., Nikitin, A., Nielsen, C.J., Orphal, J., Perevalov, V.I., Perrin, A., Polovtseva, E., Predoi-Cross, A., Rotger, M., Ruth, A.A., Yu, S.S., Sung, K., Tashkun, S.A., Tennyson, J., Tyuterev, Vl.G., Vander Auwera, J., Voronin, B.A., and Makie, A.
- Published
- 2016
- Full Text
- View/download PDF
5. Dust aerosol optical depth and altitude retrieved from hyperspectral infrared observations (AIRS, IASI) and comparison with other aerosol datasets (MODIS, CALIOP, PARASOL)
- Author
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Peyridieu, S., Chédin, A., Tanré, D., Capelle, V., Pierangelo, C., Lamquin, N., Armante, R., Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université de Lille, and Centre National d'Études Spatiales [Toulouse] (CNES)
- Subjects
3359 ATMOSPHERIC PROCESSES / Radiative processes ,[SDU]Sciences of the Universe [physics] ,3360 ATMOSPHERIC PROCESSES / Remote sensing ,0305 ATMOSPHERIC COMPOSITION AND STRUCTURE / Aerosols and particles - Abstract
International audience; Remote sensing of aerosol properties in the visible domain has been widely used for a better characterization of these particles and of their effect on solar radiation. On the opposite, remote sensing of aerosols in the thermal infrared domain still remains marginal. However, knowledge of the effect of aerosols on terrestrial radiation is needed for the evaluation of their total radiative forcing. A key point of infrared remote sensing is its ability to retrieve aerosol optical depth as well as mean dust layer altitude, a variable required for measuring their impact on climate. Moreover, observations are possible night and day, over ocean and over land. Our algorithm is specifically designed to retrieve simultaneously coarse mode dust aerosol 10 µm optical depth (AOD) and mean layer altitude from high spectral resolution infrared sounders observations. In this context, results obtained from 6 years (2003-2008) of AIRS observations have been compared to other aerosol sensors on the A-Train. First, our AIRS-retrieved 10 µm dust optical depth shows a very good agreement with the 0.55 µm Aqua/MODIS optical depth product, particularly for tropical Atlantic regions downwind of the Sahara during the dust season, even far from the sources. Comparisons with PARASOL non-spherical coarse mode product confirm the agreement found between AIRS and other AOD products from A-Train instruments. Second, time series of the mean aerosol layer altitude are compared to the CALIOP Level-2 products starting June 2006. For regions located downwind of the Sahara, the comparison again shows a good agreement with a mean standard deviation between the two products of about 400 m over the period processed, demonstrating that our algorithm effectively allows retrieving accurate mean dust layer altitude. A 6-year global climatology of the aerosol 10 µm dust optical depth and of the layer mean altitude has also been established, emphasizing the natural cycles of Saharan dust. This algorithm has been designed for processing high spectral resolution infrared sounders in general and is now applied to IASI observations. Thanks to IASI higher spectral resolution, the selection of finer channels for aerosol detection allows an even more accurate determination of aerosol properties. Results obtained from the first year of IASI observations will be presented and compared to other aerosol products and measurements.
- Published
- 2023
6. The IASI/AERIS portal: dissemination of atmospheric data in open access
- Author
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Boynard, Anne, Boonne, C., Hadji-Lazaro, Juliette, Clerbaux, Cathy, George, Maya, Clarisse, Lieven, Damme, M. Van, Whitburn, S., Hurtmans, Daniel, Coheur, Pierre-François, Capelle, V., Crevoisier, C., Cuesta, J., Stubenrauch, C., Cardon, Catherine, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
- Subjects
[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] ,ComputingMilieux_MISCELLANEOUS ,[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] - Abstract
International audience
- Published
- 2021
7. Contribution of IASI to the Observation of Dust Aerosol Emissions (Morning and Nighttime) Over the Sahara Desert
- Author
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Chédin, A., primary, Capelle, V., additional, Scott, N. A., additional, and Todd, M. C., additional
- Published
- 2020
- Full Text
- View/download PDF
8. Indirect Influence of Humidity on Atmospheric Spectra Near 4 μm
- Author
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Hartmann, J.‐M., primary, Armante, R., additional, Toon, G. C., additional, Scott, N., additional, Tran, H., additional, Crevoisier, C., additional, Chédin, A., additional, and Capelle, V., additional
- Published
- 2018
- Full Text
- View/download PDF
9. Évolution de la première prescription du dosage de psa en France : étude nationale 2006–2017 à partir de l’échantillon généraliste des bénéficiaires
- Author
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Scailteux, L., primary, Capelle, V., additional, Vincendeau, S., additional, Balusson, F., additional, Chapron, A., additional, and Mathieu, R., additional
- Published
- 2018
- Full Text
- View/download PDF
10. Validation of aerosol optical depth uncertainties within the ESA Climate Change Initiative
- Author
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European Geosciences Union General Assembly 2017 (Vienna, Austria), Stebel, K, Povey, Adam, Popp, Thomas, Capelle, V., Clarisse, Lieven, Heckel, Andreas, Kinne, Stefan, Klüser, Lars, Kolmonen, Pekka, De Leeuw, Gerrit, North, Peter, Pinnock, S., Sogacheva, Larisa, Thomas, GarethM G.M., Vandenbussche, Sophie, European Geosciences Union General Assembly 2017 (Vienna, Austria), Stebel, K, Povey, Adam, Popp, Thomas, Capelle, V., Clarisse, Lieven, Heckel, Andreas, Kinne, Stefan, Klüser, Lars, Kolmonen, Pekka, De Leeuw, Gerrit, North, Peter, Pinnock, S., Sogacheva, Larisa, Thomas, GarethM G.M., and Vandenbussche, Sophie
- Abstract
info:eu-repo/semantics/nonPublished
- Published
- 2017
11. The 2015 edition of the GEISA spectroscopic database
- Author
-
UCL - SST/IRMP - Institut de recherche en mathématique et physique, Jacquinet-Husson, N., Armante, R., Scott, N.A., Chédin, A., Crépeau, L., Boutammine, C., Bouhdaoui, A., Crevoisier, C., Capelle, V., Fayt, André, UCL - SST/IRMP - Institut de recherche en mathématique et physique, Jacquinet-Husson, N., Armante, R., Scott, N.A., Chédin, A., Crépeau, L., Boutammine, C., Bouhdaoui, A., Crevoisier, C., Capelle, V., and Fayt, André
- Abstract
The GEISA database (Gestion et Etude des Informations Spectroscopiques Atmosph�riques: Management and Study of Atmospheric Spectroscopic Information) has been developed and maintained by the ARA/ABC(t) group at LMD since 1974. GEISA is constantly evolving, taking into account the best available spectroscopic data. This paper presents the 2015 release of GEISA (GEISA-2015), which updates the last edition of 2011 and celebrates the 40th anniversary of the database. Significant updates and additions have been implemented in the three following independent databases of GEISA. The “line parameters database” contains 52 molecular species (118 isotopologues) and transitions in the spectral range from 10−6 to 35,877.031 cm−1, representing 5,067,351 entries, against 3,794,297 in GEISA-2011. Among the previously existing molecules, 20 molecular species have been updated. A new molecule (SO3) has been added. HDO, isotopologue of H2O, is now identified as an independent molecular species. Seven new isotopologues have been added to the GEISA-2015 database. The “cross section sub-database” has been enriched by the addition of 43 new molecular species in its infrared part, 4 molecules (ethane, propane, acetone, acetonitrile) are also updated; they represent 3% of the update. A new section is added, in the near-infrared spectral region, involving 7 molecular species: CH3CN, CH3I, CH3O2, H2CO, HO2, HONO, NH3. The “microphysical and optical properties of atmospheric aerosols sub-database” has been updated for the first time since 2003. It contains more than 40 species originating from NCAR and 20 from the ARIA archive of Oxford University. As for the previous versions, this new release of GEISA and associated management software facilities are implemented and freely accessible on the AERIS/ESPRI atmospheric chemistry data center website.
- Published
- 2016
12. The 2015 edition of the GEISA spectroscopic database
- Author
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Jacquinet-Husson, Nicole, Armante, Raymond, Scott, N. A., Chédin, Alain, Crépeau, L., Boutammine, C., Bouhdaoui, A., Crevoisier, C., Capelle, V., Boonne, C., Poulet-Crovisier, N., Barbe, Alain, Benner, D.C., Boudon, V., Brown, Linda, Buldyreva, Jeanna, Campargue, Alain, Coudert, L.H., Devi, V. M., Down, M. J., Drouin, B. J., Fayt, André, Fittschen, C., Flaud, Jean-Marie, Gamache, R.R., Harrison, J. J., Hill, Christian, Hodnebrog, O., Hu, S.-M., Jacquemart, David, Jolly, Antoine, Jiménez, E, Lavrentieva, N., Liu, A.-W., Lodi, L., Lyulin, Oleg, Massie, Steve, Mikhailenko, S.N., Müller, H. S. P., Naumenko, Olga V., Nikitin, Andrei Vladimirovich, Nielsen, C. J., Orphal, J., Perevalov, Valery, Perrin, Agnès, Polovtseva, E., Predoi-Cross, Adriana, Rotger, M., Ruth, M., Yu, S. S., Sung, Keeyoon, Tashkun, Sergeï, Tennyson, Jonathan L., Tyuterev, Vl. G., Vander Auwera, Jean, Voronin, B.A., Makie, A., Jacquinet-Husson, Nicole, Armante, Raymond, Scott, N. A., Chédin, Alain, Crépeau, L., Boutammine, C., Bouhdaoui, A., Crevoisier, C., Capelle, V., Boonne, C., Poulet-Crovisier, N., Barbe, Alain, Benner, D.C., Boudon, V., Brown, Linda, Buldyreva, Jeanna, Campargue, Alain, Coudert, L.H., Devi, V. M., Down, M. J., Drouin, B. J., Fayt, André, Fittschen, C., Flaud, Jean-Marie, Gamache, R.R., Harrison, J. J., Hill, Christian, Hodnebrog, O., Hu, S.-M., Jacquemart, David, Jolly, Antoine, Jiménez, E, Lavrentieva, N., Liu, A.-W., Lodi, L., Lyulin, Oleg, Massie, Steve, Mikhailenko, S.N., Müller, H. S. P., Naumenko, Olga V., Nikitin, Andrei Vladimirovich, Nielsen, C. J., Orphal, J., Perevalov, Valery, Perrin, Agnès, Polovtseva, E., Predoi-Cross, Adriana, Rotger, M., Ruth, M., Yu, S. S., Sung, Keeyoon, Tashkun, Sergeï, Tennyson, Jonathan L., Tyuterev, Vl. G., Vander Auwera, Jean, Voronin, B.A., and Makie, A.
- Abstract
The GEISA database (Gestion et Etude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information) has been developed and maintained by the ARA/ABC(t) group at LMD since 1974. GEISA is constantly evolving, taking into account the best available spectroscopic data. This paper presents the 2015 release of GEISA (GEISA-2015), which updates the last edition of 2011 and celebrates the 40th anniversary of the database. Significant updates and additions have been implemented in the three following independent databases of GEISA. The “line parameters database” contains 52 molecular species (118 isotopologues) and transitions in the spectral range from 10−6 to 35,877.031 cm−1, representing 5,067,351 entries, against 3,794,297 in GEISA-2011. Among the previously existing molecules, 20 molecular species have been updated. A new molecule (SO3) has been added. HDO, isotopologue of H2O, is now identified as an independent molecular species. Seven new isotopologues have been added to the GEISA-2015 database. The “cross section sub-database” has been enriched by the addition of 43 new molecular species in its infrared part, 4 molecules (ethane, propane, acetone, acetonitrile) are also updated; they represent 3% of the update. A new section is added, in the near-infrared spectral region, involving 7 molecular species: CH3CN, CH3I, CH3O2, H2CO, HO2, HONO, NH3. The “microphysical and optical properties of atmospheric aerosols sub-database” has been updated for the first time since 2003. It contains more than 40 species originating from NCAR and 20 from the ARIA archive of Oxford University. As for the previous versions, this new release of GEISA and associated management software facilities are implemented and freely accessible on the AERIS/ESPRI atmospheric chemistry data center website., SCOPUS: ar.j, info:eu-repo/semantics/published
- Published
- 2016
13. Changes in prostate cancer screening practice by blood PSA testing between 2011 and 2017, a French population-based study.
- Author
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Scailteux LM, Capelle V, Balusson F, Oger E, Vincendeau S, Mathieu R, and Chapron A
- Subjects
- Biopsy, Early Detection of Cancer, Humans, Male, Mass Screening, Middle Aged, Prostate-Specific Antigen, Prostatic Neoplasms diagnosis, Prostatic Neoplasms epidemiology
- Abstract
Objective: The aim of the study was to determine the trend of first blood prostate-specific antigen (PSA) test prescription in France between 2011 and 2017, based on the assumption that prostate cancer (PCa) screening is expected to decline over the years., Method: Using a representative sample of the French population from the French Health Insurance database, we identified 50-52-year-old men without PCa and without any blood PSA test in the five years before 2011, 2014 and 2017 (January 1-December 31 of each year). For each of these three years, the primary outcome was the first reimbursement of a blood PSA test. We used a logistic regression model with first blood PSA test as the outcome and year as the main explanatory variable. As secondary objectives, we also identified the prescriber's specialty, the urological consultation frequency, and the number of prostate biopsies in the year after the first blood PSA test reimbursement (only for 2011 and 2014)., Results: In 2011, 2014 and 2017, 5 275, 5 792 and 5 887 50-52-year-old men, respectively, were included. The percentage of patients with a first blood PSA test prescription decreased linearly from 2011 to 2017: 15.7% in 2011, 13.2% in 2014, and 12.4% in 2017 ( p < .001). Blood PSA testing was mainly prescribed by general practitioners (>95%). The median interval between PSA tests was 13 months in 2011 and 14 months in 2014. Fewer than 10% of men had ≥1 consultation with an urologist during the year after the first blood PSA test. After the first blood PSA test, eight prostate biopsies were performed in 2011 and two in 2014., Conclusion: Our results suggest that in France, PCa screening is a primary care issue. Although PCa screening remains controversial and confusion exists about the best practice, our study showed a linear decrease of blood PSA test prescriptions for 50-52-year-old men between 2011 and 2017, although the reason for screening was unknown. As clinical information was not available, additional evidence is needed to determine the real impact of this decrease on the cancer-specific and overall mortality.
- Published
- 2021
- Full Text
- View/download PDF
14. Estimates of African Dust Deposition Along the Trans-Atlantic Transit Using the Decade-long Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI.
- Author
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Yu H, Tan Q, Chin M, Remer LA, Kahn RA, Bian H, Kim D, Zhang Z, Yuan T, Omar AH, Winker DM, Levy R, Kalashnikova O, Crepeau L, Capelle V, and Chedin A
- Abstract
Deposition of mineral dust into ocean fertilizes ecosystems and influences biogeochemical cycles and climate. In-situ observations of dust deposition are scarce, and model simulations depend on the highly parameterized representations of dust processes with few constraints. By taking advantage of satellites' routine sampling on global and decadal scales, we estimate African dust deposition flux and loss frequency (LF, a ratio of deposition flux to mass loading) along the trans-Atlantic transit using the three-dimensional distributions of aerosol retrieved by spaceborne lidar (CALIOP) and radiometers (MODIS, MISR, and IASI). On the basis of a ten-year (2007-2016) and basin scale average, the amount of dust deposition into the tropical Atlantic Ocean is estimated at 136 - 222 Tg yr
-1 . The 65-83% of satellite-based estimates agree with the in-situ climatology within a factor of 2. The magnitudes of dust deposition are highest in boreal summer and lowest in fall, whereas the interannual variability as measured by the normalized standard deviation with mean is largest in spring (28-41%) and smallest (7-15%) in summer. The dust deposition displays high spatial heterogeneity, revealing that the meridional shifts of major dust deposition belts are modulated by the seasonal migration of the intertropical convergence zone (ITCZ). On the basis of the annual and basin mean, the dust LF derived from the satellite observations ranges from 0.078 to 0.100 d-1 , which is lower than model simulations by up to factors of 2 to 5. The most efficient loss of dust occurs in winter, consistent with the higher possibility of low-altitude transported dust in southern trajectories being intercepted by rainfall associated with the ITCZ. The satellite-based estimates of dust deposition can be used to fill the geographical gaps and extend time span of in-situ measurements, study the dust-ocean interactions, and evaluate model simulations of dust processes.- Published
- 2019
- Full Text
- View/download PDF
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