Results 1 to 10 of about 3,563,341 (207)
RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data [PDF]
IEEE Access, 2023 Time-series data with missing values are a common occurrence in various fields, including healthcare, meteorology, and robotics. The process of imputation aims to fill in the missing values with valid values.
Tae-Min Choi, Ji-Su Kang, Jong-Hwan Kim
doaj +2 more sources
Field Training in Radar Meteorology
Bulletin of the American Meteorological Society, 1993 Abstract The NSF Division of Mesoscale Meteorology and the University of Nevada—Reno (UNR) provided support for a two-week field course at the CSU—CHILL radar during 12—24 May 1991. Ten atmospheric science graduate students and two faculty from the Desert Research Institute (University of Nevada) spent the two weeks at the Greeley, Colorado, site of ...
John Hallett +2 more
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A prediction rigidity formalism for low-cost uncertainties in trained neural networks [PDF]
Machine Learning: Science and TechnologyQuantifying the uncertainty of regression models is essential to ensure their reliability, particularly since their application often extends beyond their training domain.
Filippo Bigi +3 more
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Training programme for the dissemination of climatological and meteorological applications using GIS technology [PDF]
Advances in Geosciences, 2006 IBIMET-CNR is involved in making different research projects and in managing operational programmes on national and international level and has acquired a relevant training competence to sustain partner countries and improve their methodological and ...
T. De Filippis +3 more
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Training and Distribution of Ph.D's in Meteorology
Bulletin of the American Meteorological Society, 1977 An analysis shows the present distribution of employment of the estimated 1200 meteorologists holding doctoral degrees and also the year and field in which they received their training. The author speculates that at present there is an approximate balance between the total supply of new doctorates and the needs of the field at this level, subject to a ...
F. Bretherton
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ISPRS International Journal of Geo-Information, 2019 Since 1989, the COMET<sup>®</sup> Program’s staff of instructional designers, scientists, graphic artists, and web developers has been creating targeted, effective, and scientifically sound instructional materials for the ...
Patrick Dills +5 more
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An Evaluation System for the Online Training Programs in Meteorology and Hydrology
International Education Studies, 2009 This paper studies the current evaluation system for the online training program in meteorology and hydrology. CIPP model that includes context evaluation, input evaluation, process evaluation and product evaluation differs from Kirkpatrick model including reactions evaluation, learning evaluation, transfer evaluation and results evaluation in that the
Yong Wang, Xiefei Zhi
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Adaptive management in disaster crisis: Role analysis in cross-sector collaboration [PDF]
JàmbáEffective disaster management requires cross-actor collaboration within adaptive governance. This study examines the role of the Meteorology, Climatology and Geophysics Agency in implementing disaster governance in Lampung Province.
Intan F. Meutia +4 more
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A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning [PDF]
Weather and forecasting, 2022 Over the past decade the use of machine learning in meteorology has grown rapidly. Specifically neural networks and deep learning have been used at an unprecedented rate.
R. Chase +3 more
semanticscholar +1 more source
The UAE Cloud Seeding Program: A Statistical and Physical Evaluation
Atmosphere, 2021 Operational cloud seeding programs have been increasingly deployed in several countries to augment natural rainfall amounts, particularly over water-scarce and arid regions.
Taha Al Hosari +8 more
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