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Krasnopolsky, Vladimir
127  Ergebnisse:
Personensuche X
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1

Machine Learning in Numerical Weather and Climate Models:

, In: Reference Module in Earth Systems and Environmental Sciences,
Krasnopolsky, Vladimir , 2024
Link: https://doi.org/10.1016/..
 
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2

Applying Machine Learning in Numerical Weather and Climate ..:

Krasnopolsky, Vladimir
Climate.  12 (2024)  6 - p. 78 , 2024
Link: https://doi.org/10.3390/..
 
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3

Triton's photochemical model: Update:

Krasnopolsky, Vladimir A.
Icarus.  406 (2023)  - p. 115741 , 2023
Link: https://doi.org/10.1016/..
 
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4

Carbon monoxide dayglow at 4.7 μm on Mars: Sounding the atm..:

Krasnopolsky, Vladimir A.
Icarus.  390 (2023)  - p. 115329 , 2023
Link: https://doi.org/10.1016/..
 
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5

Photochemistry of HCl in the martian atmosphere:

Krasnopolsky, Vladimir A.
Icarus.  374 (2022)  - p. 114807 , 2022
Link: https://doi.org/10.1016/..
 
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6

Robustness of neural network emulations of radiative transf..:

Belochitski, Alexei ; Krasnopolsky, Vladimir
Geoscientific Model Development.  14 (2021)  12 - p. 7425-7437 , 2021
Link: https://doi.org/10.5194/..
 
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7

Outlook for Exploiting Artificial Intelligence in the Earth..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Penny, Stephen G....
Bulletin of the American Meteorological Society.  102 (2021)  5 - p. E1016-E1032 , 2021
Link: https://www.jstor.org/st..
 
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8

Outlook for Exploiting Artificial Intelligence in the Earth..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Penny, Stephen G....
Bulletin of the American Meteorological Society.  102 (2021)  5 - p. E1016-E1032 , 2021
Link: https://doi.org/10.1175/..
 
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9

Seasonal and latitudinal variations of the HDO/H2O ratio in..:

Krasnopolsky, Vladimir A.
Planetary and Space Science.  208 (2021)  - p. 105345 , 2021
Link: https://doi.org/10.1016/..
 
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10

A photochemical model of Pluto's atmosphere and ionosphere:

Krasnopolsky, Vladimir A.
Icarus.  335 (2020)  - p. 113374 , 2020
Link: https://doi.org/10.1016/..
 
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11

On the methylacetylene abundance and nitrogen isotope ratio..:

Krasnopolsky, Vladimir A.
Planetary and Space Science.  192 (2020)  - p. 105044 , 2020
Link: https://doi.org/10.1016/..
 
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12

Realizing the Benefits of AI across the Numerical Weather P..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Stewart, Jebb Q....
Bulletin of the American Meteorological Society.  101 (2020)  1 - p. 29-33 , 2020
Link: https://www.jstor.org/st..
 
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13

Improving NCEP's global-scale wave ensemble averages using ..:

Campos, Ricardo Martins ; Krasnopolsky, Vladimir ; Alves, Jose-Henrique.
Ocean Modelling.  149 (2020)  - p. 101617 , 2020
Link: https://doi.org/10.1016/..
 
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14

LEVERAGING MODERN ARTIFICIAL INTELLIGENCE FOR REMOTE SENSIN..:

Boukabara, Sid-Ahmed ; Krasnopolsky, Vladimir ; Stewart, Jebb Q....
Bulletin of the American Meteorological Society.  100 (2019)  12 - p. ES473-ES491 , 2019
Link: https://www.jstor.org/st..
 
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15

Photochemistry of water in the martian thermosphere and its..:

Krasnopolsky, Vladimir A.
Icarus.  321 (2019)  - p. 62-70 , 2019
Link: https://doi.org/10.1016/..
 
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