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1دورية أكاديمية
المؤلفون: Leila Hieta, Mikko Partio, Marko Laine, Marja-Liisa Tuomola, Harri Hohti, Tuuli Perttula, Erik Gregow, Jussi S. Ylhäisi
المصدر: Meteorologische Zeitschrift, Vol 30, Iss 4, Pp 369-377 (2021)
مصطلحات موضوعية: nowcasting, bias correction, seamless, pysteps, blending, Meteorology. Climatology, QC851-999
وصف الملف: electronic resource
Relation: https://doaj.org/toc/0941-2948
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المؤلفون: Jussi Ylhaisi, Marja-Liisa Tuomola, Harri Hohti, Tuuli Perttula, Leila Hieta, Erik Gregow, Mikko Partio, Marko Laine
المصدر: Meteorologische Zeitschrift, Vol 30, Iss 4, Pp 369-377 (2021)
مصطلحات موضوعية: blending, Atmospheric Science, Nowcasting, Meteorology, pysteps, Meteorology. Climatology, seamless, Environmental science, Bias correction, nowcasting, QC851-999, bias correction
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::819499f5779b8a1b1b059ae095205fcb
https://doi.org/10.1127/metz/2021/1070 -
3Statistical postprocessing for weather forecasts review, challenges, and avenues in a big data world
المؤلفون: Jonas Bhend, Stephan Hemri, Zied Ben Bouallègue, Nigel Roberts, Leila Hieta, Bert Van Schaeybroeck, Kirien Whan, Lesley De Cruz, John Bjørnar Bremnes, Jussi Ylhaisi, Aitor Atencia, Jonathan Demaeyer, Markus Dabernig, Jonathan Flowerdew, Lionel Moret, Maurice Schmeits, Iris Odak Plenković, Olivier Mestre, Sebastian Lerch, Joris Van den Bergh, Gavin R. Evans, Maxime Taillardat, Stéphane Vannitsem, Susanne Theis
المساهمون: Electronics and Informatics, Institut Royal Météorologique de Belgique [Bruxelles] - Royal Meteorological Institute (IRM), Météo-France Direction Interrégionale Sud-Est (DIRSE), Météo-France, Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)
المصدر: Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society, 2021, 102 (3), pp.E681-E699. ⟨10.1175/BAMS-D-19-0308.1⟩
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETYمصطلحات موضوعية: FOS: Computer and information sciences, PROBABILISTIC PRECIPITATION FORECASTS, Atmospheric Science, 010504 meteorology & atmospheric sciences, PREDICTION, Computer science, Big data, 02 engineering and technology, 01 natural sciences, Field (computer science), Probability forecasts, Data science, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Operational forecasting, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], Range (statistics), 020701 environmental engineering, REGRESSION FORESTS, TEMPERATURE, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [STAT.AP]Statistics [stat]/Applications [stat.AP], MULTIMODEL ENSEMBLES, Bias, Probability forecasts/models/distribution, Model output statistics, Regression, Physics - Atmospheric and Oceanic Physics, regression, KALMAN FILTER, [STAT.ME]Statistics [stat]/Methodology [stat.ME], 0207 environmental engineering, FOS: Physical sciences, Statistics - Applications, SCHAAKE SHUFFLE, models, CALIBRATED ENSEMBLE FORECASTS, MODEL OUTPUT STATISTICS, distribution, Applications (stat.AP), 0105 earth and related environmental sciences, [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph], business.industry, End user, Scale (chemistry), Kalman filter, Numerical weather prediction, Physics and Astronomy, Earth and Environmental Sciences, [NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD], Atmospheric and Oceanic Physics (physics.ao-ph), NEURAL-NETWORKS, data science, business
وصف الملف: application/pdf