Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction
Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operatio...
Saved in:
| 格式: | Online |
|---|---|
| 語言: | 英语 |
| 出版: |
IntechOpen
2023
|
| 主題: | |
| 在線閱讀: | ONIX_20231201_9781838801120_1659 |
| 標簽: |
沒有標簽, 成為第一個標記此記錄!
|
| _version_ | 1869514561313308672 |
|---|---|
| collection | Directory of Open Access Books |
| description | Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operational application results. This is a book to provide in-depth explorations of the numerical methods developed to better understand atmospheric systems, which are introduced in eight chapters. Chapter 1 presents an efficient algorithm for tropical cyclone center determination by using satellite imagery. Chapter 2 aims to identify atmospheric systems with a new polarization remote sensing method. Chapters 3-8 place emphasis on enhancing the performance of numerical models in the prediction of atmospheric systems that should be valuable for researchers and forecasters. |
| format | Online |
| id | doab-20.500.12854ir-130550 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1305502024-04-09T11:41:41Z Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction Ma, Lei-Ming Chang-Jiang, Zhang Zhang, Feng air quality, remote sensing, air pollution, texture, gradient thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences Although the technology of observation and prediction of atmospheric systems draws upon many common fields, until now the interrelatedness and interdisciplinary nature of these research fields have scarcely been discussed in one volume containing fundamental theories, numerical methods, and operational application results. This is a book to provide in-depth explorations of the numerical methods developed to better understand atmospheric systems, which are introduced in eight chapters. Chapter 1 presents an efficient algorithm for tropical cyclone center determination by using satellite imagery. Chapter 2 aims to identify atmospheric systems with a new polarization remote sensing method. Chapters 3-8 place emphasis on enhancing the performance of numerical models in the prediction of atmospheric systems that should be valuable for researchers and forecasters. 2023-12-01T17:48:24Z 2023-12-01T17:48:24Z 2019 book ONIX_20231201_9781838801120_1659 9781838801120 9781838801113 9781838806347 https://directory.doabooks.org/handle/20.500.12854/130550 eng image/jpeg n/a https://www.intechopen.com/books/7517 https://mts.intechopen.com/storage/books/7517/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.76493 10.5772/intechopen.76493 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781838801120 9781838801113 9781838806347 IntechOpen 168 open access |
| spellingShingle | air quality, remote sensing, air pollution, texture, gradient thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title | Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title_full | Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title_fullStr | Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title_full_unstemmed | Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title_short | Understanding of Atmospheric Systems with Efficient Numerical Methods for Observation and Prediction |
| title_sort | understanding of atmospheric systems with efficient numerical methods for observation and prediction |
| topic | air quality, remote sensing, air pollution, texture, gradient thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| topic_facet | air quality, remote sensing, air pollution, texture, gradient thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences |
| url | ONIX_20231201_9781838801120_1659 |