Zobrazeno 1 - 10
of 127
pro vyhledávání: '"B. van Diedenhoven"'
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 2595-2610 (2024)
This paper describes a neural network cloud masking scheme from PARASOL (Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar) multi-angle polarimetric measurements. The algorithm has been trained
Externí odkaz:
https://doaj.org/article/00b7e6c2d80345a99d6d4f0a890fe35e
Autor:
A. Sorooshian, M. D. Alexandrov, A. D. Bell, R. Bennett, G. Betito, S. P. Burton, M. E. Buzanowicz, B. Cairns, E. V. Chemyakin, G. Chen, Y. Choi, B. L. Collister, A. L. Cook, A. F. Corral, E. C. Crosbie, B. van Diedenhoven, J. P. DiGangi, G. S. Diskin, S. Dmitrovic, E.-L. Edwards, M. A. Fenn, R. A. Ferrare, D. van Gilst, J. W. Hair, D. B. Harper, M. R. A. Hilario, C. A. Hostetler, N. Jester, M. Jones, S. Kirschler, M. M. Kleb, J. M. Kusterer, S. Leavor, J. W. Lee, H. Liu, K. McCauley, R. H. Moore, J. Nied, A. Notari, J. B. Nowak, D. Painemal, K. E. Phillips, C. E. Robinson, A. J. Scarino, J. S. Schlosser, S. T. Seaman, C. Seethala, T. J. Shingler, M. A. Shook, K. A. Sinclair, W. L. Smith Jr., D. A. Spangenberg, S. A. Stamnes, K. L. Thornhill, C. Voigt, H. Vömel, A. P. Wasilewski, H. Wang, E. L. Winstead, K. Zeider, X. Zeng, B. Zhang, L. D. Ziemba, P. Zuidema
Publikováno v:
Earth System Science Data, Vol 15, Pp 3419-3472 (2023)
The NASA Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) produced a unique dataset for research into aerosol–cloud–meteorology interactions, with applications extending from process-based studies to multi-sc
Externí odkaz:
https://doaj.org/article/2d6c4ab9eac04b69b284619e5aa5c3af
Autor:
A. M. Sayer, L. Lelli, B. Cairns, B. van Diedenhoven, A. Ibrahim, K. D. Knobelspiesse, S. Korkin, P. J. Werdell
Publikováno v:
Atmospheric Measurement Techniques, Vol 16, Pp 969-996 (2023)
This paper provides the theoretical basis and simulated retrievals for the Cloud Height Retrieval from O2 Molecular Absorption (CHROMA) algorithm. Simulations are performed for the Ocean Color Instrument (OCI), which is the primary payload on the for
Externí odkaz:
https://doaj.org/article/9f721d196aed465f9f3bb73a53ee906e
Autor:
B. van Diedenhoven, O. P. Hasekamp, B. Cairns, G. L. Schuster, S. Stamnes, M. Shook, L. Ziemba
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 7411-7434 (2022)
A framework to infer volume water fraction, soluble fraction and dry size distributions of fine-mode aerosol from multi-angle, multi-spectral polarimetry retrievals of column-averaged ambient aerosol properties is presented. The method is applied to
Externí odkaz:
https://doaj.org/article/e3ef201e339a47b5a49218057e632839
Autor:
D. Fu, L. Di Girolamo, R. M. Rauber, G. M. McFarquhar, S. W. Nesbitt, J. Loveridge, Y. Hong, B. van Diedenhoven, B. Cairns, M. D. Alexandrov, P. Lawson, S. Woods, S. Tanelli, S. Schmidt, C. Hostetler, A. J. Scarino
Publikováno v:
Atmospheric Chemistry and Physics, Vol 22, Pp 8259-8285 (2022)
The cloud drop effective radius (Re) of the drop size distribution derived from passive satellite sensors is a key variable used in climate research. Validation of these satellite products has often taken place under stratiform cloud conditions that
Externí odkaz:
https://doaj.org/article/d7ff4d717fa0441d96e936bde459311d
Autor:
M. S. Norgren, J. Wood, K. S. Schmidt, B. van Diedenhoven, S. A. Stamnes, L. D. Ziemba, E. C. Crosbie, M. A. Shook, A. S. Kittelman, S. E. LeBlanc, S. Broccardo, S. Freitag, J. S. Reid
Publikováno v:
Atmospheric Measurement Techniques, Vol 15, Pp 1373-1394 (2022)
This study develops the use of spectral total and diffuse irradiance measurements, made from a prototype hyperspectral total-diffuse sunshine pyranometer (SPN-S), to retrieve layer fine-mode aerosol (τaer) and total optical depths from airborne plat
Externí odkaz:
https://doaj.org/article/16cf8076885b41c89dd04ed363778618
Autor:
A. M. Dzambo, T. L'Ecuyer, K. Sinclair, B. van Diedenhoven, S. Gupta, G. McFarquhar, J. R. O'Brien, B. Cairns, A. P. Wasilewski, M. Alexandrov
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 5513-5532 (2021)
This study presents a new algorithm that combines W-band reflectivity measurements from the Airborne Precipitation Radar – third generation (APR-3) passive radiometric cloud optical depth and effective radius retrievals from the Research Scanning P
Externí odkaz:
https://doaj.org/article/bec5bc69796d4ef89a97e3111f5c7a45
Autor:
J. Quaas, A. Arola, B. Cairns, M. Christensen, H. Deneke, A. M. L. Ekman, G. Feingold, A. Fridlind, E. Gryspeerdt, O. Hasekamp, Z. Li, A. Lipponen, P.-L. Ma, J. Mülmenstädt, A. Nenes, J. E. Penner, D. Rosenfeld, R. Schrödner, K. Sinclair, O. Sourdeval, P. Stier, M. Tesche, B. van Diedenhoven, M. Wendisch
Publikováno v:
Atmospheric Chemistry and Physics, Vol 20, Pp 15079-15099 (2020)
The Twomey effect describes the radiative forcing associated with a change in cloud albedo due to an increase in anthropogenic aerosol emissions. It is driven by the perturbation in cloud droplet number concentration (ΔNd, ant) in liquid-water cloud
Externí odkaz:
https://doaj.org/article/862f37254b0d4610bd4ddc48063cb14f
Autor:
K. Knobelspiesse, H. M. J. Barbosa, C. Bradley, C. Bruegge, B. Cairns, G. Chen, J. Chowdhary, A. Cook, A. Di Noia, B. van Diedenhoven, D. J. Diner, R. Ferrare, G. Fu, M. Gao, M. Garay, J. Hair, D. Harper, G. van Harten, O. Hasekamp, M. Helmlinger, C. Hostetler, O. Kalashnikova, A. Kupchock, K. Longo De Freitas, H. Maring, J. V. Martins, B. McBride, M. McGill, K. Norlin, A. Puthukkudy, B. Rheingans, J. Rietjens, F. C. Seidel, A. da Silva, M. Smit, S. Stamnes, Q. Tan, S. Val, A. Wasilewski, F. Xu, X. Xu, J. Yorks
Publikováno v:
Earth System Science Data, Vol 12, Pp 2183-2208 (2020)
In the fall of 2017, an airborne field campaign was conducted from the NASA Armstrong Flight Research Center in Palmdale, California, to advance the remote sensing of aerosols and clouds with multi-angle polarimeters (MAP) and lidars. The Aerosol Cha
Externí odkaz:
https://doaj.org/article/e89f0580b1964954872ab7db8a9a366d
Autor:
D. J. Miller, M. Segal-Rozenhaimer, K. Knobelspiesse, J. Redemann, B. Cairns, M. Alexandrov, B. van Diedenhoven, A. Wasilewski
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 3447-3470 (2020)
In this study we developed a neural network (NN) that can be used to retrieve cloud microphysical properties from multiangular and multispectral polarimetric remote sensing observations. This effort builds upon our previous work, which explored the s
Externí odkaz:
https://doaj.org/article/f721d2af5c6e407dbac3b8fb408bd3f2