EVALUATION AND CORRECTION OF ERA5 100M WIND SPEED IN INDONESIA USING SODAR (CASE STUDY: SOUTH TANGERANG)

In an effort to reduce dependence on limited fossil fuel resources and mitigate greenhouse gas emissions, wind energy has emerged as a primary choice for renewable energy. Various studies have mapped the wind energy potential by estimating wind conditions at a height of 100 meters using ERA5 rean...

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Bibliographic Details
Main Author: Harits Abdurrahman, Ahmad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/79201
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:In an effort to reduce dependence on limited fossil fuel resources and mitigate greenhouse gas emissions, wind energy has emerged as a primary choice for renewable energy. Various studies have mapped the wind energy potential by estimating wind conditions at a height of 100 meters using ERA5 reanalysis data. However, it is essential to acknowledge that ERA5 wind data is subject to potential errors due to its reanalysis nature. This research aims to evaluate and correct ERA5 wind speed data, a global atmospheric reanalysis product, utilizing SODAR observational data at a 100-meter height. The evaluation involves comparing ERA5 wind speed data with direct measurements from SODAR, a device based on the principles of sound wave reflection. The evaluation results indicate errors and underestimation in ERA5 wind speed, as evidenced by a Root Mean Square Error (RMSE) of 2.14 and a Mean Error (ME) of -1.34. Despite these discrepancies, correction analyses using Linear Scaling (LS) and Quantile Mapping (QM) methods successfully approached the SODAR data. QM demonstrated superior performance compared to LS, as reflected in a smaller RMSE for QM-corrected ERA5 compared to LS-corrected ERA5 and an ME value approaching zero. However, QM-corrected ERA5 showed a slight decrease in correlation, albeit with only a marginal reduction.