Fourier Series Approach for Bias Correction in Statistical Downscaling Methods

DOI

10.2991/978-94-6463-480-8_14How to use a DOI?

Keywords

Bias Correction; Fourier Series; Statistical Downscaling; Temperature Humidity Index (THI)

Abstract

Earth System Models (ESM) are model that can forecast, and simulate past, present, and future situations including climate change. The local climate has not been well represented by ESM results. The Statistical Downscaling (SD) approach is one attempt to solve this issue. Climate studies in high-latitude nations have made extensive use of Statistical Downscaling (SD) methodologies; nevertheless, there are still relatively few of these studies conducted in low-latitude regions (the Tropics, including Indonesia). We need a technique that works to lessen bias because the SD findings still contain a significant amount of bias. Fourier series is the bias reduction technique applied in this study. Fourier series is the bias reduction technique applied in this study. For the ESM RCP 4.5 scenario, this study corrects and downscales the bias of the relative humidity and temperature data. The analysis’s conclusions, which are explained by SD, show that Merra-2 (local) dependant data has an impact on the RCP 4.5 downscaling process and that the graph becomes closer to Merra-2 data. The model that was produced was superior since the research for bias correction using the Fourier Series approach for temperature yielded 98% with MSE 0.0290 and for relative humidity yielded 97% with MSE 0.3223. From 2006 to 2057, Indonesia’s Temperature Humidity Index (THI) fell within the acceptable range.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tiani Wahyu Utami
AU  - Asrori Gufron
AU  - Fatkhurokhman Fauzi
PY  - 2024
DA  - 2024/07/29
TI  - Fourier Series Approach for Bias Correction in Statistical Downscaling Methods
BT  - Proceedings of the 2nd Lawang Sewu Internasional Symposium on Engineering and Applied Sciences (LEWIS-EAS 2023)
PB  - Atlantis Press
SP  - 171
EP  - 183
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-480-8_14
DO  - 10.2991/978-94-6463-480-8_14
ID  - Utami2024
ER  -