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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Supplementary Data and Code for "Characterization and Bias-Correction of Low-Level Jets at FINO1 Using LiDAR Observations and Reanalysis Data"

Authors: Bui, Hoang Hai;

Supplementary Data and Code for "Characterization and Bias-Correction of Low-Level Jets at FINO1 Using LiDAR Observations and Reanalysis Data"

Abstract

This repository contains the fitted parameters from our proposed log-jet decomposition method applied to 50 years (1971–2020) of ERA5 data at the FINO1 station. The method represents each wind profile using two components: Log component: defined by two parameters (u*, z0) Jet component: defined by three parameters (Um, zm, and S) Please refer to the accompanying paper for methodological details. The data is stored in a single NetCDF file: FINO1_llj_analysis_data.nc.We also provide bias-corrected data using quantile mapping, calibrated against LiDAR observations from 2015–2016. An accompanying Jupyter notebook demonstrates how to read the data and reconstruct wind profiles from the fitted parameters.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average