A Relationship Between Blue and Near‐IR Global Spectral Reflectance and the Response of Global Average Reflectance to Change in Cloud Cover Observed From EPIC
Sign Up to like & getrecommendations! Published in 2019 at "Earth and Space Science"
DOI: 10.1029/2019ea000664
Abstract: We performed a detailed analysis of Earth Polychromatic Imaging Camera (EPIC) spectral data. We found that the vector composed of blue and near‐infrared (NIR) reflectance follows a counterclockwise closed‐loop trajectory from 0 to 24 UTC… read more here.
Keywords: change; global average; relationship; reflectance ... See more keywords
Predicting Global Average Temperature Time Series Using an Entire Graph Node Training Approach
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DOI: 10.1109/tgrs.2024.3480888
Abstract: The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is either unavailable or insufficient for the desired purpose. However,… read more here.
Keywords: temperature; graph node; average temperature; time ... See more keywords
Forecasting and analysing global average temperature trends based on LSTM and ARIMA models
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DOI: 10.1371/journal.pone.0330645
Abstract: Previous studies have demonstrated a significant correlation between global average temperature change trends and greenhouse gases, and employed various prediction models. However, the potential of the combination of the LSTM and ARIMA models for temperature… read more here.
Keywords: temperature; average temperature; arima models; global average ... See more keywords
GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2022.1004988
Abstract: With the increasing demand for deep learning in the last few years, CNNs have been widely used in many applications and have gained interest in classification, regression, and image recognition tasks. The training of these… read more here.
Keywords: activation function; parallelism; model; global average ... See more keywords