Therefore, a new rainfall retrieval technique based on the Random Forest (RF) algorithm is presented using the Advanced Himawari Imager-8 (Himawari-8/AHI) ...
Estimating Rainfall with Multi-Resource Data over East Asia Based on Machine Learning. ... in rainfall retrieval in East Asia. To a certain extent, our ...
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We introduce a novel rainfall-estimating algorithm with a random-forest machine-learning method only from Infrared (IR) observations. As training data ...
Obtaining high-resolution and high-precision precipitation data is of great significance. This paper establishes a precipitation retrieval model based on a ...
In general, our proposed. FY-4A QPE algorithm has advantages for quantitative esti- mation of summer precipitation over East Asia. 1 Introduction. Precipitation ...
Jul 27, 2023 · The proposed model showed a high performance in detecting the missing precipitation occurrence with an accuracy of 80%. In addition, the ...
Zhang et al. [24] used an RF to build a retrieval model to estimate precipitation levels based on Himawari-8 satellite data and the GFS numerical forecast ...
The results indicate that (1) the ML approaches can merge MSPs with observed data for accurately estimate rainfall, particularly in basins with sparsely ...
Nov 5, 2021 · The model in this paper is based on the random forest data package in ... estimation of summer precipitation over East Asia in future. A ...
Deep learning-based multi-source precipitation merging ... - SpringerLink
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Mar 8, 2023 · By using data merging, the error between the raw multi-source and gauged precipitation can be reduced, and the precipitation detection ...