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  SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024

Chisanga, C. B., Nkonde, E., Mubanga, K. H., Phiri, D., Chemura, A., Kipkulei, H. K. (2025): SPI-based drought characteristics using CHIRPS over Zambia: 1981–2024. - All Earth, 37, 1, 1-19.
https://doi.org/10.1080/27669645.2025.2472574

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SPI-based drought characteristics using CHIRPS over Zambia 1981 2024.pdf (Verlagsversion), 12MB
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Chisanga, Charles Bwalya1, Autor
Nkonde, Edson1, Autor
Mubanga, Kabwe H.1, Autor
Phiri, Darius1, Autor
Chemura, Abel2, Autor              
Kipkulei, Harison K.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Droughts are becoming more frequent, intense and severe. However, there is lack of information on the drought characteristics in developing countries like Zambia. Further, the spatio-temporal changes in drought characteristics have received little consideration in relation to meteorological and agricultural droughts. Therefore, the aim of this study was to assess Standardized Precipitation Index (SPI)-based drought characteristics (events, duration, inter-arrival time, magnitude and severity) across Agro-ecological Regions in Zambia. The climate_indices python package was applied in computing SPI based on Gamma distribution at 1-, 3- and 6-month/s timescales using CHIRPS v2 data from 1981–2024 for ONDJFM. Drought thresholds of SPI < −1.2 were computed using the theory of runs. Results show that inter-arrival time at SPI-1, SPI-3 and SPI-6 exhibited significant increasing trends (p-value <0.05). However, drought events, magnitude and duration at SPI-6 exhibits significant decreasing trends. The combined drought categories increases from SPI-6 (19,392) followed by SPI-3 (19,619) and SPI-1 (20,260). The detected drought conditions from 1981–2024 was moderately dry. It is therefore, short-term water deficits of up to 6 months are increasing in Zambia and thus they have to be considered in agricultural management, drought assessment and in informing policy, National Development Plan and National Adaptation Plans.

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Sprache(n): eng - Englisch
 Datum: 2024-08-092025-02-222025-03-072025-03-07
 Publikationsstatus: Final veröffentlicht
 Seiten: 20
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1080/27669645.2025.2472574
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Adaptation in Agricultural Systems
Research topic keyword: Adaptation
Research topic keyword: Food & Agriculture
Regional keyword: Africa
Model / method: Open Source Software
Model / method: Quantitative Methods
MDB-ID: No data to archive
OATYPE: Gold Open Access
 Art des Abschluß: -

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Titel: All Earth
Genre der Quelle: Zeitschrift, SCI, Scopus, oa
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Seiten: - Band / Heft: 37 (1) Artikelnummer: - Start- / Endseite: 1 - 19 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1778-3593
Publisher: Taylor & Francis