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  • English  (3)
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  • 1
    Keywords: Forschungsbericht ; Wasserversorgung ; Westafrika
    Type of Medium: Online Resource
    Pages: Online-Ressource (153 S., 9,70 MB) , Ill., graph. Darst., Kt.
    Language: English
    Note: Förderkennzeichen BMBF 01LW06001A/B. - Verbund-Nr. 01047591 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden. - Auch als gedr. Ausg. vorhanden , Systemvoraussetzungen: Acrobat reader. , Mit dt. und engl. Zsfassung
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  • 2
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-16
    Description: African Easterly Waves (AEWs) are prominent synoptic-scale weather systems of the West African Monsoon region and tropical Atlantic during boreal summer. These organized systems propagate from east to west and exert a substantial influence on the weather patterns in the area. AEWs are the primary source of heavy precipitation during the summer months in the region and serve as precursors for tropical cyclones. An investigation of AEWs from a potential vorticity (PV) standpoint offers a more comprehensive understanding of the dynamics of these meteorological systems. PV analysis is a valuable diagnostic tool to study the behavior of atmospheric waves and the interactions between convection and broader dynamical features due to its conservative properties. By examining AEWs through the lens of PV in a 3-D environment, key features of the waves and their correlation can be studied.This study presents a novel approach to the identification and tracking of 3-D PV features that are associated with AEWs. The identification algorithm has been motivated and developed supported by 3-D visual analysis tools. The identified structures and wave tracks are assigned low-dimensional descriptions, such as best-fit geometry, life-cycle stage, phase, and additional meteorological measures. These are generated over multiple decades to compute a climatology of these features. These descriptions provide a succinct and comprehensive data set that can be correlated with AEW-related tropical rainfall and tropical cyclone genesis.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 3
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-04-20
    Description: Operational forecasts using direct output from numerical weather prediction models exhibit poor skill over northern tropical Africa compared to simple climatology-based forecasts. A recent study found potential in using Spearman’s rank correlations of gridded rainfall estimates from TRMM to predict July-September tropical African rainfall. Using the satellite-based gridded GPM-IMERG product from 2001-2019, we build on this approach using the Coefficient of Predictive Ability (CPA) developed for improved variable selection for statistical models and expanding up to 3-day lags over tropical Africa and the Atlantic Ocean. High CPAs straddling the zonally oriented rainbelt are attributed to large-scale drivers causing coherent spatio-temporal anomalies. Low CPAs over the rainbelt centre indicate the lack of dominant forcing, high stochasticity, or both. The coherent-linear-propagation factor (coh) introduced at every grid point quantifies the coherence of the identified rainfall by summarising the extent to which lagged CPAs reflect propagation with constant phase speed and direction. High coh over the Sahel suggests African easterly waves’ dominance. Stochastic precipitation driven by small-scale processes causes low coh over the rainbelt. We train a statistical model using the rainfall linked to the identified CPAs and compare it with three benchmarks: a climatology-based forecast, the ECMWF 1-day ensemble prediction-system forecast and its statistically post-processed output. The statistical model is outperformed only by the post-processed output and only in the western Sahel and central Africa. However, the Diebold-Mariano test for forecast significance suggests no significant differences between the statistical and post-processed forecasts making the former a cheaper alternative over the analysis region.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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