In this study, a frequency-matching correction method is proposed to correct the nowcasting results provided by a deep learning nowcasting method, ie, TrajGRU.

In this study, a frequency-matching correction method is proposed to correct the nowcasting results provided by a deep learning nowcasting method, i.e., TrajGRU ...

May 7, 2021 · 71. Ming Zhang, Yanhui Yin, Haonan Chen, et al. A Frequency-Matching Method for Bias Correction of Deep Learning Nowcasts. IGARSS 2022 ...

Oct 13, 2023 · State-of-the-art bias correction methods only address errors in the simulated frequency distributions locally at every individual grid cell.

Jan 25, 2023 · This study developed a customized DL model by incorporating customized loss functions, multitask learning and physically relevant covariates to bias correct ...

In this study, a deep learning method called CU-net is proposed to correct the gridded forecasts of four weather variables from the European Centre for Medium- ...

A bias correction method serves as a bridge by connecting the NWP models with the realization of higher-resolution predictions. By correcting biases, the models ...

Abstract-This paper presents a numerical model based on product temperature prediction deep learning error correction method, using two-dimensional ...

With the advancement of computing resources, deep learning (DL), which is AI-based, has been increasingly utilized for bias correction of model outputs ( ...

By combining the UNIT neural network with the classical technique of quantile mapping (QM), we can produce bias corrections that are better than either alone.