Machine learning–based extreme event attribution
The observed increase in extreme weather has prompted recent methodological advances
in extreme event attribution. We propose a machine learning–based approach that uses …
in extreme event attribution. We propose a machine learning–based approach that uses …
Advancing annual global mean surface temperature prediction to 2 months lead using physics based strategy
KX Li, F Zheng, J Zhu, JY Yu… - npj Climate and …, 2024 - nature.com
Interannual global mean surface temperature (GMST) forecast provides critical insights into
the economic and societal implications of climate variability. The pronounced GMST …
the economic and societal implications of climate variability. The pronounced GMST …
Evaluation of the Potential of Using Machine Learning and the Savitzky–Golay Filter to Estimate the Daily Soil Temperature in Gully Regions of the Chinese Loess …
W Deng, D Liu, F Guo, L Zhang, L Ma, Q Huang, Q Li… - Agronomy, 2024 - mdpi.com
Soil temperature directly affects the germination of seeds and the growth of crops. In order to
accurately predict soil temperature, this study used RF and MLP to simulate shallow soil …
accurately predict soil temperature, this study used RF and MLP to simulate shallow soil …
[HTML][HTML] Improved climate time series forecasts by machine learning and statistical models coupled with signature method: A case study with El Niño
J Derot, N Sugiura, S Kim, S Kouketsu - Ecological Informatics, 2024 - Elsevier
The different phases of ENSO (El Niño Southern Oscillation) directly influence the
occurrence of natural disasters and global warming. To limit the socio-economic impact, it is …
occurrence of natural disasters and global warming. To limit the socio-economic impact, it is …
A retrieval algorithm for passive microwave-based land surface temperature considering spatio-temporal soil moisture and land scenarios
W Ji, Y Chen, H Gao, H Xia - IEEE Journal of Selected Topics …, 2024 - ieeexplore.ieee.org
Land surface temperature (LST) is an important parameter for the study related to land–air
coupled systems. Satellite-based passive microwave (PMW) sensor is a significant …
coupled systems. Satellite-based passive microwave (PMW) sensor is a significant …