Characterization of Temperature and Precipitation Fields over Sardinia with Principal Component Analysis and Singular Spectrum Analysis

نویسنده

  • R. BENZI
چکیده

A climatic analysis of temperature and precipitation ®elds in the Sardinia region is developed. The main purpose of this work is the characterization of temperature and precipitation ®elds to better understand Sardinia's climate. Principal component analysis (PCA) and singular spectrum analysis (SSA) have been applied to maximum and minimum temperature and to cumulative daily precipitation data collected in the Sardinia region during the period 1951±1992. It is shown that the most signi®cant temporal and spatial portion of temperature ®elds are described by the ®rst principal component of PCA; SSA of such a ®rst principal component reveals a 38 day oscillation in the region, related to the oscillations observed for planetary waves in the Northern Hemisphere. Precipitation ®elds are well represented by the ®rst three principal components of PCA. The cluster analysis of those principal components shows the plurimodality of precipitation distribution and the existence of conditions of a high total precipitation localized in Eastern Sardinia. # 1997 by the Royal Meteorological Society. Int. J. Climatol., 17: 1231±1262 (1997). (No. of Figures: 30 No. of Tables: 7 No. of References: 16)

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sparse Structured Principal Component Analysis and Model Learning for Classification and Quality Detection of Rice Grains

In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...

متن کامل

Functional Analysis of Iranian Temperature and Precipitation by Using Functional Principal Components Analysis

Extended Abstract. When data are in the form of continuous functions, they may challenge classical methods of data analysis based on arguments in finite dimensional spaces, and therefore need theoretical justification. Infinite dimensionality of spaces that data belong to, leads to major statistical methodologies and new insights for analyzing them, which is called functional data analysis (FDA...

متن کامل

Spatial patterns of soil moisture connected to monthly-seasonal precipitation variability in a monsoon region

[ I ] The relations between monthly-seasonal soil moisture and precipitation variability are investigated by identifying the coupled patterns of the two hydrological fields using singular value decomposition (SVD). SVD is a technique of principal component analysis similar to empirical orthogonal knctions (EOF). However, it is applied to two variables simultaneously and i s capable of extractin...

متن کامل

Development of a cell formation heuristic by considering realistic data using principal component analysis and Taguchi’s method

Over the last four decades of research, numerous cell formation algorithms have been developed and tested, still this research remains of interest to this day. Appropriate manufacturing cells formation is the first step in designing a cellular manufacturing system. In cellular manufacturing, consideration to manufacturing flexibility and productionrelated data is vital for cell formation....

متن کامل

Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis

Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate the blind and deep Mo anomaly in the Dalli Cu–Au porphyry mineralization area. The Dalli miner...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996