Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Vladimir A. Krasnopolsky"'
Publikováno v:
Weather and Forecasting. 38:637-654
Forecast skill from dynamical forecast models decreases quickly with projection time due to various errors. Therefore, postprocessing methods, from simple bias correction methods to more complicated multiple linear regression–based model output sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad602e483a47bba592b8cc8c09edc149
https://doi.org/10.1175/waf-d-20-0014.1
https://doi.org/10.1175/waf-d-20-0014.1
Autor:
Kayo Ide, Stephen G. Penny, Jason Hickey, Philippe Tissot, John K. Williams, Ross N. Hoffman, Sue Ellen Haupt, John E. Ten Hoeve, Alan J. Geer, Eric Maddy, David Hall, Kenneth S. Casey, Vladimir M. Krasnopolsky, Nikunj C. Oza, Hung-Lung Allen Huang, Sid-Ahmed Boukabara, Jebb Stewart, Amy McGovern
Publikováno v:
Bulletin of the American Meteorological Society. 102:E1016-E1032
Promising new opportunities to apply artificial intelligence (AI) to the Earth and environmental sciences are identified, informed by an overview of current efforts in the community. Community input was collected at the first National Oceanic and Atm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c724b7c6c0c2465ffe0bc85425bb89a
https://doi.org/10.1175/bams-d-20-0031.1
https://doi.org/10.1175/bams-d-20-0031.1
Autor:
Jebb Stewart, Eric Maddy, Vladimir M. Krasnopolsky, Ross N. Hoffman, Sid-Ahmed Boukabara, Narges Shahroudi
Publikováno v:
Bulletin of the American Meteorological Society. 101:29-33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c8d463270051fd7a6dbd1e649438d6
https://doi.org/10.1175/bams-d-18-0324.a
https://doi.org/10.1175/bams-d-18-0324.a
Autor:
Vladimir A. Krasnopolsky
Publikováno v:
Icarus. 390:115329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de04942af0f039a03015d02b13a8cd4
https://doi.org/10.1016/j.icarus.2022.115329
https://doi.org/10.1016/j.icarus.2022.115329
Publikováno v:
Ocean Dynamics. 70:405-419
Forecasts of 10-m wind (U10) and significant wave height (Hs) from the National Centers for Environmental Prediction (NCEP) Ensemble Forecast System are evaluated using altimeter data. Four altimeter missions are selected for the assessment in 2017 t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc295eca886f7663ad6be289d4d27a13
https://doi.org/10.1007/s10236-019-01329-4
https://doi.org/10.1007/s10236-019-01329-4
Autor:
Ross N. Hoffman, Jebb Stewart, Eric Maddy, Vladimir M. Krasnopolsky, Sid-Ahmed Boukabara, Narges Shahroudi
Publikováno v:
Bulletin of the American Meteorological Society. 100:ES473-ES491
Artificial intelligence (AI) techniques have had significant recent successes in multiple fields. These fields and the fields of satellite remote sensing and NWP share the same fundamental underlying needs, including signal and image processing, qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b82e7d5e783b4cff0e24d993686c62b6
https://doi.org/10.1175/bams-d-18-0324.1
https://doi.org/10.1175/bams-d-18-0324.1
Autor:
Vladimir A. Krasnopolsky
Publikováno v:
Icarus. 321:62-70
Recent SPICAM IR solar occultations reveal significant abundances of water vapor up to ≈80 km near Mars perihelion. These abundances are stimulated by dust that heats the atmosphere and precludes condensation of water. This phenomenon correlates wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c91ac67b7a946fd518564d47129620b
https://doi.org/10.1016/j.icarus.2018.10.033
https://doi.org/10.1016/j.icarus.2018.10.033
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 36:113-127
Artificial neural networks (ANNs) applied to nonlinear wave ensemble averaging are developed and studied for Gulf of Mexico simulations. It is an approach that expands the conservative arithmetic ensemble mean (EM) from the NCEP Global Wave Ensemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c427fc3e595de225dd5fd7d80d61e6e5
https://doi.org/10.1175/jtech-d-18-0099.1
https://doi.org/10.1175/jtech-d-18-0099.1
Autor:
Igor T. Obukhovsky, Vladimir M. Krasnopolsky, M. N. Platonova, O. A. Rubtsova, Victor T. Voronchev, V. N. Pomerantsev
Publikováno v:
Few-Body Systems. 62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d76ef858fbda2996092a42af179bc0
https://doi.org/10.1007/s00601-021-01598-0
https://doi.org/10.1007/s00601-021-01598-0
Autor:
Vladimir A. Krasnopolsky
Publikováno v:
Icarus. 374:114807
The recent discovery of HCl in the martian atmosphere using the ExoMars Trace Gas Orbiter ( Korablev et al., 2021 , Sci. Adv. 7, eabe4386) during a global dust storm indicates a correlation between the HCl appearance and dust. Here this idea is studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abfba07de5c6e8fe58b49a42d50238a1
https://doi.org/10.1016/j.icarus.2021.114807
https://doi.org/10.1016/j.icarus.2021.114807