Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Chibuike Chiedozie Ibebuchi"'
Autor:
Chibuike Chiedozie Ibebuchi
Publikováno v:
AIMS Geosciences, Vol 0, Iss 3, Pp 524-539 (2024)
This study presents a novel approach that employs autoencoders (AE)—an artificial neural network—for the nonlinear transformation of time series to a compact latent space for efficient fuzzy clustering. The method was tested on atmospheric sea le
Externí odkaz:
https://doaj.org/article/a47ae68918834292a9874d491fa0b32c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract This study improves the understanding of circulation patterns associated with regional temperature trends by characterizing boreal summer temperature variability patterns in North America using rotated S-mode principal component analysis. We
Externí odkaz:
https://doaj.org/article/ae5c4d91fa25464ca173b49fd86367ed
Autor:
Chibuike Chiedozie Ibebuchi
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 01LT01 (2024)
Understanding the spatial patterns of the North Atlantic Oscillation (NAO) is vital for climate science. For this reason, empirical orthogonal function (EOF) analysis is commonly applied to sea-level pressure (SLP) anomaly data in the North Atlantic
Externí odkaz:
https://doaj.org/article/df80d4ee19054672b864410b612b0596
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract To enhance the physical understanding of the circulation patterns associated with rainfall variations in Nigeria, we spatially decomposed rainfall during the rainy season and uncovered the asymmetric atmospheric circulation patterns driving
Externí odkaz:
https://doaj.org/article/cfa1b868c1524bcb98a7d6281cc4c3c8
Publikováno v:
AIMS Geosciences, Vol 9, Iss 1, Pp 1-15 (2023)
This study examines how the atmospheric circulation patterns in Africa south of the equator govern the spatial distribution of precipitation in Zimbabwe. The moisture circulation patterns are designated by an ample set of eight classified circulation
Externí odkaz:
https://doaj.org/article/69f8a0c0876b475ba84b8eb962515971
Autor:
Chibuike Chiedozie Ibebuchi
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 12, Pp 4194-4212 (2022)
The impact of climate change on the frequency of occurrence of atmospheric circulation patterns can have a wide range of consequences ranging from weather extremes to the modification of pollutant transport. This study uses 11 CMIP6 global climate mo
Externí odkaz:
https://doaj.org/article/c293348ca6264163a7d668de3933b04b
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025046 (2024)
The temporal resolution of environmental data sets plays a major role in the granularity of the information that can be derived from the data. In most cases, it is required that different data sets have a common temporal resolution to enable their co
Externí odkaz:
https://doaj.org/article/e3e10872ff6447eea14e4ae5a8e71b74
Publikováno v:
Environmental Research Letters, Vol 19, Iss 2, p 024001 (2024)
Sea surface temperature (SST) modes are comprised of variability that arises from inherently nonlinear processes. Historically, a limitation arises from applying linear statistics to define these modes. Accurate depiction of the complex, non-linear n
Externí odkaz:
https://doaj.org/article/d1eb30a5337d493f9e9a82f7f8709307
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015009 (2024)
Spatial regionalization is instrumental in simplifying the spatial complexity of the climate system. To identify regions of significant climate variability, pattern extraction is often required prior to spatial regionalization with a clustering algor
Externí odkaz:
https://doaj.org/article/b3be2d4ba2ee4598b40cd0918560ac16
Autor:
Chibuike Chiedozie Ibebuchi
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 2, Pp 1046-1055 (2022)
This study addresses the applicability of general circulation models (GCMs) in studying the impact of climate change on hydrology. The statistical downscaling of precipitation based on circulation types (CTs) derived from the fuzzy, i.e., more than o
Externí odkaz:
https://doaj.org/article/7b2dfea9c151422a99c36be058a9cab1