Results 11 to 20 of about 981,400 (260)

The rise of data-driven weather forecasting: A first statistical assessment of machine learning-based weather forecasts in an operational-like context [PDF]

Bulletin of The American Meteorological Society - (BAMS), 2023
Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications.
Z. Ben Bouallégue, M. Clare, L. Magnusson, E. Gascón, M. Maier‐Gerber, M. Janoušek, M. Rodwell, F. Pinault, J. Dramsch, S. Lang, B. Raoult, F. Rabier, M. Chevallier, I. Sandu, P. Dueben, M. Chantry, F. Pappenberger   +16 more
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Evaluating epidemic forecasts in an interval format [PDF]

PLoS Comput. Biol., 2020
For practical reasons, many forecasts of case, hospitalization, and death counts in the context of the current Coronavirus Disease 2019 (COVID-19) pandemic are issued in the form of central predictive intervals at various levels.
J. Bracher, E. Ray, T. Gneiting, N. Reich   +3 more
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The Simons Observatory: science goals and forecasts [PDF]

Journal of Cosmology and Astroparticle Physics, 2018
The Simons Observatory (SO) is a new cosmic microwave background experiment being built on Cerro Toco in Chile, due to begin observations in the early 2020s.
P. Ade, J. Aguirre, Z. Ahmed, S. Aiola, Aamir M. Ali, D. Alonso, Marcelo A. Alvarez, K. Arnold, P. Ashton, J. Austermann, H. Awan, C. Baccigalupi, T. Baildon, D. Barron, N. Battaglia, R. Battye, E. Baxter, A. Bazarko, J. Beall, R. Bean, D. Beck, S. Beckman, B. Beringue, F. Bianchini, S. Boada, D. Boettger, J. Bond, J. Borrill, Michael L. Brown, S. M. Bruno, S. Bryan, E. Calabrese, V. Calafut, P. Calisse, J. Carron, A. Challinor, G. Chesmore, Y. Chinone, J. Chluba, Hsiao-mei Cho, Steve K. Choi, G. Coppi, N. Cothard, K. Coughlin, D. Crichton, K. Crowley, K. Crowley, A. Cukierman, J. D'Ewart, R. Dünner, T. de Haan, M. Devlin, S. Dicker, J. Didier, M. Dobbs, B. Dober, C. Duell, S. Duff, A. Duivenvoorden, J. Dunkley, J. Dusatko, J. Errard, G. Fabbian, S. Feeney, S. Ferraro, P. Fluxá, K. Freese, J. Frisch, A. Frolov, G. Fuller, Brittany Fuzia, N. Galitzki, P. Gallardo, J. T. G. Ghersi, Jiansong Gao, E. Gawiser, M. Gerbino, V. Gluscevic, N. Goeckner-wald, J. Golec, S. Gordon, M. Gralla, D. Green, A. Grigorian, J. Groh, C. Groppi, Y. Guan, J. Gudmundsson, Dongwon Han, P. Hargrave, M. Hasegawa, M. Hasselfield, M. Hattori, V. Haynes, M. Hazumi, Yizhou He, E. Healy, S. Henderson, C. Hervías-Caimapo, C. Hill, J. Hill, G. Hilton, M. Hilton, A. Hincks, G. Hinshaw, R. Hložek, S. Ho, S. Ho, L. Howe, Zhi-Qi Huang, J. Hubmayr, K. Huffenberger, J. Hughes, Anna Ijjas, M. Ikape, K. Irwin, A. Jaffe, B. Jain, O. Jeong, D. Kaneko, E. Karpel, N. Katayama, B. Keating, S. Kernasovskiy, R. Keskitalo, T. Kisner, K. Kiuchi, J. Klein, K. Knowles, B. Koopman, A. Kosowsky, N. Krachmalnicoff, S. Kuenstner, C. Kuo, A. Kusaka, J. Lashner, Adrian T. Lee, Eunseong Lee, D. Leon, J. S. Leung, A. Lewis, Yaqiong Li, Zack Li, M. Limon, E. Linder, C. López-Caraballo, T. Louis, L. Lowry, M. Lungu, M. Madhavacheril, D. Mak, F. Maldonado, H. Mani, B. Mates, F. Matsuda, L. Maurin, P. Mauskopf, A. May, N. McCallum, C. Mckenney, J. Mcmahon, P. Meerburg, Joel Meyers, A. Miller, M. Mirmelstein, K. Moodley, M. Münchmeyer, C. Munson, S. Naess, F. Nati, M. Navaroli, L. Newburgh, H. Nguyen, M. Niemack, Haruki Nishino, J. Orlowski-Scherer, L. Page, B. Partridge, J. Peloton, F. Perrotta, L. Piccirillo, G. Pisano, D. Poletti, R. Puddu, G. Puglisi, C. Raum, C. Reichardt, M. Remazeilles, Y. Rephaeli, D. Riechers, F. Rojas, Anirban Roy, S. Sadeh, Y. Sakurai, M. Salatino, M. Rao, E. Schaan, M. Schmittfull, N. Sehgal, J. Seibert, U. Seljak, B. Sherwin, M. Shimon, C. Sierra, J. Sievers, P. Sikhosana, M. Silva-Feaver, S. Simon, A. Sinclair, Praweeen Siritanasak, Kendrick M. Smith, Stephen R. Smith, D. Spergel, S. Staggs, G. Stein, J. Stevens, R. Stompor, A. Suzuki, O. Tajima, S. Takakura, G. Teply, Daniel B. Thomas, B. Thorne, R. Thornton, H. Trac, C. Tsai, C. Tucker, J. Ullom, S. Vagnozzi, A. van Engelen, J. V. Van Lanen, D. V. Van Winkle, E. Vavagiakis, C. Vergès, M. Vissers, K. Wagoner, S. Walker, J. Ward, B. Westbrook, N. Whitehorn, Jason Williams, Joel Williams, Edward J. Wollack, Zhi-Lei Xu, Byeonghee Yu, Cyndia Yu, Fernando Zago, Hezi Zhang, N. Zhu   +248 more
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Neural networks for post-processing ensemble weather forecasts [PDF]

Monthly Weather Review, 2018
Ensemble weather predictions require statistical postprocessing of systematic errors to obtain reliable and accurate probabilistic forecasts. Traditionally, this is accomplished with distributional regression models in which the parameters of a ...
S. Rasp, Sebastian Lerch
semanticscholar   +1 more source

FORECASTS ON SOME FINANCIAL INDICATORS: A CASE STUDY FOR S.C.D.A SIMNIC [PDF]

Management & Marketing, 2023
In this paper, several financial indicators at S.C.D.A. Simnic are investigated from a statistical point of view. Using the method of least squares, the mathematical functions that model the trend are found and with the help of which financial forecasts ...
Ramona-Maria DIMITROV
doaj   +1 more source

Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond

Bulletin of The American Meteorological Society - (BAMS), 2020
There is high demand and a growing expectation for predictions of environmental conditions that go beyond 0–14-day weather forecasts with outlooks extending to one or more seasons and beyond.
A. Mariotti, Cory F. Baggett, E. Barnes, E. Becker, A. Butler, D. Collins, P. Dirmeyer, L. Ferranti, N. Johnson, Jeanine Jones, B. Kirtman, A. Lang, A. Molod, Matthew Newman, A. Robertson, S. Schubert, D. Waliser, J. Albers   +17 more
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Combining forecasts : forty years later [PDF]

, 2010
This article is dedicated to the memory of Clive Granger, a founding editor of this journal. Its title echoes the title of his invited review article in a special issue of the Journal of Forecasting in 1989. That issue marked the twentieth anniversary of
Kenneth F. Wallis, Kenneth Wallis, Wallis, Kenneth Frank   +2 more
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The German Climate Forecast System: GCFS

Journal of Advances in Modeling Earth Systems, 2021
Seasonal prediction is one important element in a seamless prediction chain between weather forecasts and climate projections. After several years of development in collaboration with Universität Hamburg and Max Planck Institute for Meteorology, the ...
Kristina Fröhlich, Mikhail Dobrynin, Katharina Isensee, Claudia Gessner, Andreas Paxian, Holger Pohlmann, Helmuth Haak, Sebastian Brune, Barbara Früh, Johanna Baehr   +9 more
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Ensemble Forecasts of Coronavirus Disease 2019 (COVID-19) in the U.S.

medRxiv, 2020
Background The COVID-19 pandemic has driven demand for forecasts to guide policy and planning. Previous research has suggested that combining forecasts from multiple models into a single "ensemble" forecast can increase the robustness of forecasts.
E. Ray, N. Wattanachit, J. Niemi, A. H. Kanji, K. House, E. Cramer, J. Bracher, A. Zheng, T. Yamana, X. Xiong, S. Woody, Y. Wang, L. Wang, R. Walraven, V. Tomar, K. Sherratt, D. Sheldon, R. C. Reiner, B. Prakash, D. Osthus, M.-L. Li, E. C. Lee, U. Koyluoglu, P. Keskinocak, Y. Gu, Q. Gu, G. George, G. España, S. Corsetti, J. Chhatwal, S. Cavany, H. Biegel, M. Ben-Nun, J. Walker, R. Slayton, V. López, M. Biggerstaff, M. Johansson, N. Reich, Pan Xu   +39 more
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Simulation of the ENSO influence on the extra-tropical middle atmosphere

Earth, Planets and Space, 2019
The impact of the El Niño Southern Oscillation (ENSO) on the Northern Hemisphere mid-winter zonal wind, temperature, and stationary planetary waves (SPWs) is evaluated using the Middle and Upper Atmosphere Model and Modern-Era Retrospective Analysis for ...
Tatiana S. Ermakova, Olga G. Aniskina, Irina A. Statnaia, Maxim A. Motsakov, Alexander I. Pogoreltsev   +4 more
doaj   +1 more source