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R. Lackmann | Akateeminen Kirjakauppa

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Synoptic–Dynamic Meteorology Lab Manual – Visual Exercises to Complement Midlatitude Synoptic Meteorology
Gary Lackmann; Brian E. Mapes; Kevin R. Tyle; Kevin Tyle
American Meteorological Society (2017)
Pehmeäkantinen kirja
94,10
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Creating Effective Information Technology Solutions
Terrance M. Brueck; B. McClung; M. Rettie; R. Lackmann
IWA Publishing (2004)
Pehmeäkantinen kirja
279,70
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Synoptic–Dynamic Meteorology Lab Manual – Visual Exercises to Complement Midlatitude Synoptic Meteorology
94,10 €
American Meteorological Society
Sivumäärä: 144 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2017, 15.10.2017 (lisätietoa)
Kieli: Englanti
One of the greatest challenges facing atmospheric science instructors is helping students link theoretical and mathematical concepts to the real atmosphere. The past decade has been characterized by remarkable advances in meteorological observation, computing techniques, and data-visualization technology. However, the benefit of these advances can only be fully realized with the introduction of a systematic, applied approach to meteorological education that allows well-established theoretical concepts to be used with modernized observational and numerical datasets. This lab manual is a tool designed just for this purpose; it links theoretical concepts with groundbreaking visualization to elucidate concepts taught in the companion textbook by Gary Lackmann, Midlatitude Synoptic Meteorology, the most current text available on modern weather forecasting techniques. When used in concert with Lackmann's book and the companion CD of lecture slides, this lab manual will guide students in using contemporary observational and visualization techniques to provide in-depth understanding of fundamental concepts and serve as a catalyst for student-led innovation and application.
With topics considered in an order that reinforces and builds upon new knowledge in meteorological observation and analysis, these materials will help students to deepen their understanding of synoptic-dynamic meteorology, synoptically-driven mesoscale phenomena, numerical weather prediction, ensemble prediction, and more, and put this understanding into practice.

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