Climate and Atmospheric Dynamics and Predictability
Earth's weather and climate are complex nonlinear systems of dynamical/thermodynamical processes that are highly variable on all spatiotemporal scales. The analysis and prediction of those processes and their feedbacks with the other systems of the biosphere (land and ocean), from the viewpoint...
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| Other Authors: | , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 072 | 7 | |a GP |2 bicssc | |
| 100 | 1 | |a Pytharoulis, Ioannis |4 edt | |
| 700 | 1 | |a Katsafados, Petros |4 edt | |
| 700 | 1 | |a Pytharoulis, Ioannis |4 oth | |
| 700 | 1 | |a Katsafados, Petros |4 oth | |
| 245 | 1 | 0 | |a Climate and Atmospheric Dynamics and Predictability |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2021 | ||
| 300 | |a 1 electronic resource (136 p.) | ||
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| 520 | |a Earth's weather and climate are complex nonlinear systems of dynamical/thermodynamical processes that are highly variable on all spatiotemporal scales. The analysis and prediction of those processes and their feedbacks with the other systems of the biosphere (land and ocean), from the viewpoints of both atmospheric science and dynamics/thermodynamics, can improve our knowledge and have a great impact on society. The main aim of this Special Issue was to gather observational, theoretical and modeling studies on the dynamics of the atmosphere and the climate system, as well as on their predictability at different spatiotemporal scales. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Research & information: general |2 bicssc | |
| 653 | |a drought | ||
| 653 | |a forecasting | ||
| 653 | |a Latin America | ||
| 653 | |a Lagrangian numerical method | ||
| 653 | |a ocean modeling | ||
| 653 | |a ocean mixing | ||
| 653 | |a atmospheric sounding | ||
| 653 | |a Costa Rica | ||
| 653 | |a GPS | ||
| 653 | |a MODIS | ||
| 653 | |a precipitable water vapor | ||
| 653 | |a Blizzards | ||
| 653 | |a blowing snow | ||
| 653 | |a climatology | ||
| 653 | |a self-organizing maps | ||
| 653 | |a synoptic typing | ||
| 653 | |a anthropogenic land cover changes | ||
| 653 | |a hydrological model MIKE-SHE | ||
| 653 | |a time-series statistical analysis | ||
| 653 | |a trend analysis | ||
| 653 | |a Spercheios river basin | ||
| 653 | |a cold fronts | ||
| 653 | |a Mediterranean | ||
| 653 | |a identification scheme | ||
| 653 | |a Frontal Tracking Scheme (FTS) | ||
| 653 | |a MedFTS | ||
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| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/68313 |7 0 |z DOAB: description of the publication |