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Scott Steinschneider and Upmanu Lall

paper is organized as follows. Section 2 describes the mathematical formulation and computational implementation of AA. Details of the case study, comparative analysis, and trend analysis are presented in section 3 . Results are presented in section 4 , and the paper concludes in section 5 with a discussion of the limitations of the study and potential further applications of AA. 2. Archetypal analysis a. Mathematical formulation Consider an m × n matrix = { x 1,1 , …, x m , n

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Sungwook Hong, Hwa-Jeong Seo, and Young-Joo Kwon

and speed through the following 120 h. In addition, the minimum sea level pressure ( ) and the maximum surface wind ( ) are forecast through 72 h. The majority of TC values reported by operational centers are derived from application of the Dvorak technique by converting a Dvorak current intensity (CI) number directly to a ( Velden et al. 2012 ). Thus, differences in the CI values between agencies are commonly expected within a ±0.5 CI number between different analysts performing the

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S. Donald Case Jr.

1962 S. D O N A L D C A S E, J R. 489Some Applications of Meteorological Probabilities S. DoNA~.~) CASE, JR.U. S. Navy Weather Research Facility, Norfolk 11, Va.(Manuscript received 27 April 1962)ABSTRACT Selected definitions of probability are used as a basis to determine the versatility of meteorological probabilities in operational planning from unbroken weather data. A technique which employs their

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William A. Haggard

1412 JOURNAL OF APPLIED METEOROLOGY VOLU~20Applied Climatology: Some Data Sources and Applications WILLIAM A. HAGGARDClimatological Consulting Corporation, Ashevi!!e, NC 28805(Manuscript received 8 December 1980, in final form 31 March 1981) ABS. TRACT The importance of climate to early and modern societies is briefly reviewed. Some comments are offeredon presently available

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T. H. Vonder Haar, A. C. Meade, R. J. Craig, and D. L. Reinke

136 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME5Four-Dimensional Imaging for Meteorological Applications T. H. YONDER I-~AAR, A. C. MEADE, R. J. CRAIG AND D. L. REINKECooperative Institute for Research in the Atmosphere (CIRA) and Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado 2 January 1987 and 3 June 1987ABSTRACT Advanced software routines have

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Mikdat Kadioglu and Zekai Şen

considerations of cooling and heating properties can be achieved through the probability theory application. In general, the probability of a cooling period L c with a length at least equal to m can be written implicitly as A simpler version of this equation emerges when the successive occurrences of the temperature records are independent from each other: On the other hand, if the temperature occurrences are also identically distributed, then the simplest case results in the power form as P ( L c ≥ m

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Ryan R. Neely III, Louise Parry, David Dufton, Lindsay Bennett, and Chris Collier

objective, SEPA partnered with the United Kingdom’s National Centre for Atmospheric Science (NCAS) and the University of Leeds’ School of Earth and Environment to conduct a pilot study of the use of X-band radar entitled Radar Applications in Northern Scotland (RAiNS). Operational weather radar data quality over northern Scotland, particularly near Inverness, is reduced due to the location and spacing of radars relative to the mountainous terrain. In addition, orographic enhancement created by the

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Ann Bostrom, Rebecca E. Morss, Jeffrey K. Lazo, Julie L. Demuth, Heather Lazrus, and Rebecca Hudson

. M. , 2014 : Complexities in communication and collaboration in the hurricane warning system . Commun. Stud. , 65 , 468 – 483 , doi: 10.1080/10510974.2014.957785 . Baker, E. J. , 1995 : Public response to hurricane probability forecasts . Prof. Geogr. , 47 , 137 – 147 , doi: 10.1111/j.0033-0124.1995.00137.x . Bostrom, A. , Fischhoff B. , and Morgan M. G. , 1992 : Characterizing mental models of hazardous processes: A methodology and an application to radon . J. Soc. Issues

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Gregory Sinnett, Kristen A. Davis, Andrew J. Lucas, Sarah N. Giddings, Emma Reid, Madeleine E. Harvey, and Ian Stokes

. Distributed temperature sensing (DTS) systems are attractive due to their ability to continuously sample at relatively high temporal and spatial resolution for significant duration over broad spatial scales. Although DTS use in environmental applications has increased since 2006, application to oceanography is complex and still relatively rare ( Shanafield et al. 2018 ). DTS systems observe the Raman scatter from laser light pulsed through an optical fiber to observe its temperature. Sensitive electronics

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Erin Towler, Debasish PaiMazumder, and James Done

how they can be tailored for a particular application. In step 2, we manipulate the temperature predictions using 1) a deterministic-anomaly approach (as in projections of climate change) and 2) a probabilistic tercile-based approach (as with seasonal forecasts). In step 3, for both of the manipulation approaches from step 2, we demonstrate how the temperature predictions could be translated for application by adding a delta (for the deterministic-anomaly manipulation), conducting a weighted

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