Averaging of Meteorological Fields
(Sprache: Englisch)
Spatial and temporal averaging of observational data is widely used in many problems of meteorology, hydrology and related sciences. Several averaging methods have been proposed by various scientists and are used on a regular basis to obtain data averaged...
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Klappentext zu „Averaging of Meteorological Fields “
Spatial and temporal averaging of observational data is widely used in many problems of meteorology, hydrology and related sciences. Several averaging methods have been proposed by various scientists and are used on a regular basis to obtain data averaged in space orfand in time, to yield data which are less influenced by random factors than initial point data are. The significance of averaging meteorological fields has substantially increased nowadays in connection with the problem of global climate change. However important as such change may be, it is very small as compared with the natural variability of atmospheric fields. An accurate averaging is absolutely necessary in order to discover a small climate change signal on the background of strong natural variability that acts as a random noise in this context. It is highly desirable not only to determine the averaged values themselves, but also to estimate the accuracy with which these values are known. To evaluate the accuracy of averaging is not a simple task mainly because the initial point values are not independent from each other, and interconnections between them substantially influence the averaging accuracy.
Inhaltsverzeichnis zu „Averaging of Meteorological Fields “
Preface1. Introduction
1.1. Spatial and Temporal Averaging in Meteorological Problems
1.2. Some Information on the Statistical Characteristics of Meteorological Fields
2. Statistical Description of Averaged Fields
2.1. Statistical Structure of Averaged Data
2.2. Representativeness of Point Measurements with respect to Averaged Values
2.3. Influence of Area Shape on the Representativeness of a Point Value
3. The Accuracy of Averaging Discrete Data
3.1. The Accuracy of Representing Average Quantities by Discrete Data
3.2. Approximate Evaluation of the Averaging Accuracy
3.3. Optimal Averaging of Discrete Data
3.4. Accuracy of Averaging the Characteristics of Statistical Structure
4. Problems of Averaging Some Meteorological Fields
4.1. The Representativeness of Precipitation Data
4.2. Accuracy of Zonal Averaging of Air Temperature
5. Practical Aspects of the Spatial Averaging of Meteorological Fields
5.1. Methods of Averaging Meteoroglogical Fields and Numerical Applications
5.2. A Brief Description of the Averaging Algorithms
5.3. Comparative Accuracy of Some Averaging Algorithms
- Conclusions
- List of Symbols
- ReferencesInfluence of Area Shape on the Representativeness of a Point Value
3. The Accuracy of Averaging Discrete Data
3.1. The Accuracy of Representing Average Quantities by Discrete Data
3.2. Approximate Evaluation of the Averaging Accuracy
3.3. Optimal Averaging of Discrete Data
3.4. Accuracy of Averaging the Characteristics of Statistical Structure
4. Problems of Averaging Some Meteorological Fields
4.1. The Representativeness of Precipitation Data
4.2. Accu
Bibliographische Angaben
- Autor: R. L. Kagan
- 1997, 296 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Thomas M. Smith, Lev S. Gandin
- Verlag: Springer Netherlands
- ISBN-10: 079234801X
- ISBN-13: 9780792348016
- Erscheinungsdatum: 31.10.1997
Sprache:
Englisch
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