In this study, we downscaled ocean surface R n from J-OFURO3 using AVHRR TOA observations with Random Forest (RF) method. The accuracy of the downscaling daily ...
Downscaling Ocean Surface Net Radiation at Global Scales with Random Forest ... Earth surface net radiation (Rn) characterizes the surface radiation budget ...
Jun 5, 2021 · In this study, we developed a TIR and PWM LST fusion method on based the random forest (RF) machine learning algorithm to obtain the all-weather LST with high ...
Oct 22, 2024 · As land surface temperature (LST) is one environmental key variable, we implemented a random forest (RF) regression approach to increase the ...
Jun 14, 2022 · The global average ocean surface R n over 1983–2020 is estimated to be 119.71 ± 2.78 Wm −2 with a significant increasing rate of 0.16 Wm −2 per year.
This study proposes two algorithms, called the downward shortwave radiation (DSR)-based algorithm and the top-of-atmosphere (TOA)-based algorithm, to estimate ...
Feb 1, 2023 · This study provides a straightforward method of deriving fine-spatial-resolution all-sky NSR with topographic consideration, which can be further extended to ...
With the scattering ratio profiles as covariates, an iterative approach applied to a non-parametric regression model based on a quantile random forest is used.
In this study, LST was downscaled by a random forest model between LST and multiple remote sensing indices (such as soil-adjusted vegetation index)
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Enhancing Regional Climate Downscaling through Advances in ...
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This review offers a significant contribution to our understanding of how machine learning can offer a transformative change in climate downscaling.