| 书目名称 | Dynamic Meteorology: Data Assimilation Methods |
| 编辑 | Lennart Bengtsson,Michael Ghil,Erland Källén |
| 视频video | |
| 丛书名称 | Applied Mathematical Sciences |
| 图书封面 |  |
| 描述 | One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefi |
| 出版日期 | Book 1981 |
| 关键词 | Meteorologie; Meteorology; Orbit; Weather; satellite; satellites |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-5970-1 |
| isbn_softcover | 978-0-387-90632-4 |
| isbn_ebook | 978-1-4612-5970-1Series ISSN 0066-5452 Series E-ISSN 2196-968X |
| issn_series | 0066-5452 |
| copyright | Springer-Verlag New York, Inc. 1981 |
发表于 2025-3-21 18:11:05
