Results 161 to 170 of about 7,932,226 (201)

Disentangling density and geometry in weather regime dimensions using stochastic twins. [PDF]

NPJ Clim Atmos Sci
Platzer P, Chapron B, Messori G.
europepmc   +1 more source

Analysis of factors influencing groundwater drought in the Loess zone of China. [PDF]

iScience
Qiu Y, He Z, Yu X, Jia G, Wang Y.
europepmc   +1 more source

Connections and causes of inter-model spread in boreal summer precipitation across monsoon regions in AMIP6 simulations. [PDF]

Sci Rep
Wen N, Huan K.
europepmc   +1 more source

The Spatial Analysis of Water Masses Movement in the Halmahera and Banda Sea sing Empirical Orthogonal Function (EOF) Methods

The Spatial Analysis of Water Masses Movement in the Halmahera and Banda Sea sing Empirical Orthogonal Function (EOF) Methods
openaire   +1 more source

Investigation of South Korea Precipitation Variation Using Empirical Orthogonal Function (EOF) and Cyclostationary EOF

IOP Conference Series: Earth and Environmental Science, 2021
Abstract The monthly precipitation data of 56 stations during 47 years (1973-2019) in South Korea are comprehensively analysed using the EOF technique and CSEOF technique respectively. The main motivation for employing this technique in the present study is to investigate the physical processes associated with the evolution of the ...
Mingdong Sun, Xiangqin Xu
exaly   +2 more sources

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A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysis

Natural Hazards, 2021
An automatic, transparent, and regular way to investigate and analyze the spatiotemporal variations in a large, unstructured, and high-dimensional data set is highly desirable in almost every area of knowledge. In light of this, the present study concentrates on a versatile spatiotemporal technique, empirical orthogonal function (EOF), and provides a ...
null Neha, Sumanta Pasari
openaire   +1 more source

Spatio-Temporal Variability of Precipitation in Southeast Asia Analyzed Using the Empirical Orthogonal Function (EOF) Technique

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
The empirical orthogonal function (EOF) analysis is used to investigate the spatial and temporal variations of precipitation rate measured by the Tropical Rainfall Measuring Mission (TRMM) satellite in the Southeast Asian region. The EOF analysis decomposes the rainfall data into several modes of variations.
Soo Chin Liew, Leong Keong Kwoh, Aik Song Chia   +2 more
exaly   +3 more sources

Empirical Orthogonal Function (EOF) Analysis Based on Google Colab on Sea Surface Temperature (SST) Dataset in Indonesian Waters

Indonesian Physical Review, 2022
Global Sea Surface Temperature (SST) data observed from yearly to yearly is limited in its use to determine spatial and temporal variations. The analysis was carried out on SST data in Indonesian waters for 252 months or for 21 years, starting from January 2000 to December 2020.
Melly Ariska, Suhadi Suhadi
exaly   +2 more sources

On the use of Empirical Orthogonal Function (EOF) analysis in the simulation of random fields

Stochastic Hydrology and Hydraulics, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Braud, I., Obled, Ch.
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