Results 81 to 90 of about 7,932,226 (201)

On the sensitivity of field reconstruction and prediction using Empirical Orthogonal Functions derived from gappy data [PDF]

, 2013
Empirical Orthogonal Function (EOF) analysis is commonly used in the climate sciences and elsewhere to describe, reconstruct, and predict highly dimensional data fields. When data contain a high percentage of missing values (i.e.
Taylor, Marc, Wenzel, Manfred, Losch, Martin, Schröter, Jens   +3 more
core   +2 more sources

A Temporal Extension to Traditional Empirical Orthogonal Function Analysis [PDF]

, 2002
This paper describes the application of temporal maximum autocorrelation factor analysis to global monthly mean values of 1996-1997 sea surface temperature (SST) and sea surface height (SSH) data.
Knudsen, Per, Andersen, Ole Baltazar, Nielsen, Allan Aasbjerg, Hilger, Klaus Baggesen   +3 more
core  

Empirical Orthogonal Function Analysis on Long-Term Profile Evolution of Tidal Flats along a Curved Coast in the Qiantang River Estuary, China

Journal of Marine Science and Engineering
: Tidal flats are dynamic coastal ecosystems continually reshaped by natural processes and human activities. This study investigates the application of Empirical Orthogonal Function (EOF) analysis to the long-term profile evolution of tidal flats along ...
Ying Li, Dongzi Pan
doaj   +1 more source

Spatial‐temporal characteristics of AIDS incidences in Mainland China

Immunity, Inflammation and Disease, 2020
Object Revealed the spatial‐temporal patterns of acquired immune deficiency syndrome (AIDS) incidences in Mainland China. Methods Empirical orthogonal function (EOF) technique was applied to analyze the major spatial distribution modes and the temporal ...
Zhigang Wu, Weining Liang, Weikang Chen, Yanxiang Chang, Yanlong Liu, Xiaodong Liu, Hong Huang, Xuejun Shang   +7 more
doaj   +1 more source

Analisis Struktur Horizontal Equatorial Planetary Waves (EPW) Menggunakan Teknik Empirical Orthogonal Function (EOF)

, 2019
Empirical Orthogonal Function (EOF) adalah salah satu teknik untuk mendapatkan pola dan menduga kondisi cuaca dan iklim. Penelitian ini mengidentifikasi struktur horizontal EPW menggunakan teknik filter ganda yaitu menggunakan teknik STSA dan EOF ...
Mawarti, Munifah Nur
core  

APPLICATION OF EMPIRICAL ORTHOGONAL FUNCTION MODELS TO ANALYZE SHORELINE CHANGE AT BANGKALAN MADURA [PDF]

, 2013
Bangkalan’s shoreline, especially on the opposite side of Surabaya, has been evaluated to determine the morphological changes due to wave attack, near-shore current, long-shore sediment transport and coastal configuration.
Darius Arkwright; Department of Aquatic Resource Management, Faculty of Science and Technology, Halmahera University, Tobelo 97762, Indonesia, Suntoyo .; Department of Ocean Engineering, Faculty of Marine Technology, Sepuluh Nopember Institute of Technology, Surabaya 60111, Indonesia   +1 more
core  

Characterizing global CO₂ interannual variability with empirical orthogonal function/principal component (EOF/PC) analysis [PDF]

Geophysical Research Letters, 2002
EOF/PC analysis is applied to low‐pass filtered deseasonalized CO2 growth rates from a global observational network, and two statistically‐significant modes of interannual variability are identified. The spatial structure of the 1st mode is characterized by an interhemispheric gradient, while the 2nd mode is characterized by a land‐ocean dipole in the ...
openaire   +1 more source

Empirical Orthogonal Functions: The Medium is the Message

, 2009
Empirical orthogonal function (EOF) analysis is a powerful tool for data compression and dimensionality reduction used broadly in meteorology and oceanography.
Monahan, Adam H., North, Gerald R., Fyfe, John C., Ambaum, Maarten H. P., Stephenson, David B., Adam H. Monahan, Maarten H. P. Ambaum, John C. Fyfe, David B. Stephenson, Gerald R. North   +9 more
core   +1 more source

A Diagnostic Framework for Phase-Dependent Synoptic Uncertainty in Tropical Cyclone Track Prediction Using Ensemble Space EOF Analysis: Application to Typhoon SHANSHAN (2024)

Atmosphere
This study investigates the forecast bust of Typhoon SHANSHAN (2024) characterized by large track errors using the four major interactive grand global operational ensemble data and the atmospheric reanalysis data.
Akiyoshi Wada
doaj   +1 more source

Spatiotemporal Characteristics of the Dominant Modes of Surface Air Temperature Interannual Variations over South China during the Spring-to-Summer Transition

Atmosphere, 2019
The surface air temperature (SAT) interannual variability during the spring-to-summer transition over South China (SC) has been decomposed into two dominant modes by applying empirical orthogonal function (EOF) analysis.
Fen Wang, Yaokun Li, Jianping Li
doaj   +1 more source