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Correction to: Natural Hazards (2024) 120:429–445 https://doi.org/10.1007/s11069-023-06223-3
This is regarding our earlier publication (Roy, Mliwa and Troccoli 2023a), where we used El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) data.
In the manuscript, Data and Methodology part (2nd para), we did not include the date of access of data and would like to mention the access date as follows:
Data Niño3.4: https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/nino34.long.anom.data, accessed 30/09/22.
Data IOD. https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/dmi.had.long.data, accessed 30/09/22.
This is because the data of ENSO as represented by Nino3.4 indexFootnote 1, though did not change, but the data of IOD has changed. A poster was presented at European Geosciences Union (EGU) 2023 conference on 25th April (Roy, Troccoli, Mliwa 2023b) describing the main findings of this paper and now we find that IOD data was changed on 26th April 2023. Both the old IOD dataFootnote 2 and new IOD dataFootnote 3 are mentioned here for verification. Based on the new data, IOD phases have changed in many months and that is likely to affect our results. Hence, we would like to add the date of access in the correction of this paper including two sets of IOD data (the used data of IOD in this paper is in the Appendix, also in the Supplementary file). A subsequent follow-up paper (Roy and Troccoli, 2024), however took additional attention and mentioned the date of access of IOD data as on 30/09/22.
Notes
Data Niño3.4: https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/nino34.long.anom.data, accessed 30/09/22.
Data IOD: https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/dmi.had.long.data, accessed 30/09/22. [see the used data in the Appendix and in the Supplementary file].
Data IOD: https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/dmi.had.long.data, accessed 13/01/24.
Reference
Roy I, Mliwa M, Troccoli A (2023a) Important drivers of East African monsoon variability and improving rainy season onset prediction. Nat Hazards 120:429–445. https://doi.org/10.1007/s11069-023-06223-3
Roy I, Troccoli A, Mliwa M (2023b) Major drivers of East African Monsoon variability and improved prediction for Onset dates. In: EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17545. https://doi.org/10.5194/egusphere-egu23-17545.
Roy, I and Troccoli, A (2024) Identifying important drivers of East African October to December rainfall season. Sci Total Environ (STOTEN), Elsevier, https://doi.org/10.1016/j.scitotenv.2023.169615.
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Supplementary Information
Below is the link to the electronic supplementary material.
Appendix: The used IOD Data
Appendix: The used IOD Data
Link: https://psl.noaa.gov/gcos_wgsp/Timeseries/Data/dmi.had.long.data, accessed on 30.09.22 (valid till 25th April 2023)
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DMI HadISST1.1
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Created Fri Mar 25 08:39:11 MDT 2022
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using SST anomaly 10S:10N, 50E-70E minus 10S:0, 90E-110E area averaged
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Timeseries output created at NOAA PSL
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Roy, I., Mliwa, M. & Troccoli, A. Correction to: Important drivers of East African monsoon variability and improving rainy season onset prediction. Nat Hazards 120, 8089–8092 (2024). https://doi.org/10.1007/s11069-024-06551-y
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DOI: https://doi.org/10.1007/s11069-024-06551-y