SoftwareApplication
name: ML-bias-prediction-MW-Radiances
description: Code underlying: Bias prediction of microwave radiance observations using machine learning methods
description: HARMONIE-AROME is a regional Numerical Weather Prediction (NWP) model used for short- range weather forecasting in several operational centres across Europe. Microwave radiance observations from satellites are one of the main contributors to its forecast skill, but these observations contain biases that need to be corrected. Currently, in HARMONIE-AROME, bias correction is performed using a Variational Bias Correction method (VarBC), which consists of linear models including different bias predictors alongside their bias coefficients. However, this method is computationally intensive. This study investigates the potential of machine learning models to emulate the VarBC method by predicting the bias coefficients of its linear equations, offering a more computationally efficient alternative. This research uses data corresponding to the microwave radiance observations from the instruments AMSU-A, MHS and MWHS2. The machine learning models were trained on data from the DINI domain and subsequently tested on a new domain. The findings reveal that the machine learning models successfully emulate VarBC on a new, unseen domain and that they can be trained within seconds/minutes. Moreover, the predictions generated by these models are immediately usable without requiring a spin-up phase. The study further reveals that including bias predictors additional to those preselected by HARMONIE-AROME does not enhance the prediction accuracy. Furthermore, the research suggests that data from some instruments are helpful in predicting bias coefficients from other instruments.
code repository: https://data.4tu.nl/v3/datasets/30fe17c5-c43d-4833-a464-33029b779ccc.git
author: https://orcid.org/0009-0004-4181-9546
author: https://orcid.org/0000-0002-1935-7267
author: https://orcid.org/0000-0002-3617-9036
author: Person
  given name: Isabel
  family name: Monteiro
  name: Isabel Monteiro
keywords: Bias correction
keywords: HARMONIE-AROME
keywords: Data Science
keywords: satellite
keywords: observations
keywords: Variational Bias Correction
programming language: Markdown
programming language: Other
programming language: Python
programming language: Shell
programming language: large-text-file
license:
  creative work: creativeWork
    name: MIT

https://orcid.org/0009-0004-4181-9546
type: Person
given name: Alice
family name: Abramowicz
name: Alice Abramowicz

https://orcid.org/0000-0002-1935-7267
type: Person
given name: Kirien
family name: Whan
name: Kirien Whan

https://orcid.org/0000-0002-3617-9036
type: Person
given name: Irene
family name: Garcia-Marti
name: Irene Garcia-Marti