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Record Nr. |
UNINA9910145292103321 |
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Autore |
Clegg Brian |
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Titolo |
Instant creativity [[electronic resource] ] : simple techniques to ignite innovation & problem solving / / Brian Clegg and Paul Birch |
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Pubbl/distr/stampa |
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London ; ; Philadelphia, : Kogan Page Limited, 2007 |
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ISBN |
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Descrizione fisica |
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1 online resource (192 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Creative ability in business |
Problem solving |
Brainstorming |
Creative thinking |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 170-171). |
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Nota di contenuto |
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Contents; 1 Why creativity?; 2 Creativity primer; 3 The techniques; 4 Techniques 1; 5 Techniques 2; 6 Other sources; Appendix 1 The Selector; Appendix 2 Lists for techniques |
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Sommario/riassunto |
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Instant Creativity is a collection of tried and tested techniques to encourage individuals and groups make the most of their creativity. It offers over seventy quick and simple exercises to help find fresh ideas and solutions to problems. It is designed for combating a lack of inspiration, for brainstorming ideas for new projects, creating a better understanding of an ongoing problem or for seeking a general direction. The range of ideas will help tap into the creative energies of any individual or an uninspired team. They are particularly useful for marketers, advertising professionals and pr |
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2. |
Record Nr. |
UNINA9910373880003321 |
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Autore |
Khaki Mehdi |
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Titolo |
Satellite Remote Sensing in Hydrological Data Assimilation / / by Mehdi Khaki |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XV, 290 p. 101 illus., 88 illus. in color.) |
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Disciplina |
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Soggetti |
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Physical geography |
Hydrology |
Remote sensing |
Computer science - Mathematics |
Statistics |
Earth System Sciences |
Hydrology/Water Resources |
Remote Sensing/Photogrammetry |
Computational Mathematics and Numerical Analysis |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part 1: Hydrological Data Assimilation -- Chapter 1 - Introduction -- Chapter 2 - Data assimilation and remote sensing data -- Part 2: Model-Data -- Chapter 3 - Hydrologic model -- Chapter 4 - Remote sensing for assimilation -- Part 3 : Data Assimilation Filters -- Chapter 5 - Sequential Data Assimilation Techniques for Data Assimilation -- Part 4 : GRACE Data Assimilation -- Chapter 6 - Efficient Assimilation of GRACE TWS into Hydrological Models -- Part 5 : Water Budget Constraint -- Chapter 7 - Constrained Data Assimilation Filtering -- Chapter 8 - Unsupervised Constraint for Hydrologic Data Assimilation -- Part 6 : Data-driven Approach -- Chapter 9 - Non-parametric Hydrologic Data Assimilation -- Chapter 10 - Parametric and Non-parametric Data Assimilation Frameworks -- Part 7 Hydrologic |
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Applications -- Chapter 11- Groundwater Depletion over Iran -- Chapter 12 - Water Storage Variations over Bangladesh -- Chapter 13 - Multi-mission Satellite Data Assimilation over South America. . |
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Sommario/riassunto |
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This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation. |
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