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      Xinhua Silk Road: Chinesische Lösungen für die meteorologische Frühwarnung helfen mehr Ländern dabei, klimabedingte Herausforderungen zu bewältigen


      News provided by

      Xinhua Silk Road

      Sep 22, 2026, 23:18 ET

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      PEKING, 23. September 2026 /PRNewswire/ -- Seit Jahrtausenden sorgt die traditionelle chinesische Meeresgöttin Mazu nach dem Glauben ihrer Anhänger für sichere Seereisen. Heute helfen nach ihr benannte chinesische Lösungen für die meteorologische Frühwarnung mehr Ländern dabei, Wetterkatastrophen vorzubeugen.

      Continue Reading
      Photo handout via Xinhua shows the "MAZU" system at the Pakistan Meteorological Department on August 17, 2026.
      Photo handout via Xinhua shows the "MAZU" system at the Pakistan Meteorological Department on August 17, 2026.

      „MAZU", das vom Chinesischen Amt für Meteorologie auf der Weltkonferenz für Künstliche Intelligenz (WAIC) 2025 vorgestellt wurde, ist eine Reihe von in China entwickelten KI-gestützten meteorologischen Lösungen mit universeller Mehrgefahren-Frühwarnung, Alarmierung und lückenloser Abdeckung.

      In mehr als 40 Ländern unterstützt „MAZU" cloudgestützte Erprobungen und wird bereits unter anderem in Pakistan, Äthiopien, auf den Salomonen, in Jordanien, Sri Lanka, der Mongolei und Dschibuti eingesetzt, wodurch sich seine weltweite Präsenz rasch ausweitet.

      Als erste Lösungsreihe im Rahmen der UN-Initiative „Early Warnings for All" („Frühwarnung für alle") vereint „MAZU" KI-basierte meteorologische Frühwarnmodelle, Daten der Fengyun-Wettersatelliten, Überwachungsprodukte aus verschiedenen Quellen und Cloud-Rechenleistung.

      Im Mai dieses Jahres wurde „MAZU" von der Weltorganisation für Meteorologie auf dem 11. Multi-Stakeholder-Forum zu Wissenschaft, Technologie und Innovation für die Ziele für nachhaltige Entwicklung empfohlen, das im UN-Hauptquartier in New York stattfand.

      Es überrascht nicht, dass „MAZU" sowohl der Nachfrage nach modularen Lösungsangeboten als auch nach hochflexiblen, maßgeschneiderten Lösungen gerecht wird, um die betreffenden Länder dabei zu unterstützen, durch den Klimawandel verursachten Wetterkatastrophen vorzubeugen.

      In Pakistan, wo Monsunregen sowie Unwetter in der Regel zu verheerenden Überschwemmungen führen, wurde ein von China und Pakistan gemeinsam entwickeltes Frühwarnsystem offiziell in die entsprechenden Plattformen der pakistanischen Wetterbehörde integriert.

      In Äthiopien nutzten chinesische Experten die Zusammenführung von Daten der chinesischen Fengyun-Wettersatelliten sowie lokaler Wetterstationen, um den lokalen Wettervorhersagern dabei zu helfen, mithilfe der KI-Modelle „Fenglei" und „Fengqing" hochpräzise Nowcasts zu erstellen.

      In Sri Lanka unterstützt das Wetteramt der südostchinesischen Provinz Fujian das Land bei der Erstellung von Niederschlags- und Temperaturvorhersagen mit hoher räumlicher und zeitlicher Auflösung.

      Neben den Einsatzmöglichkeiten von „MAZU" sind fast 1000 Menschen aus mehr als 100 Entwicklungsländern und -regionen nach China gekommen, um an technischen Schulungen mit Schwerpunkt Frühwarnung teilzunehmen.

      Da China ein wichtiger Partner der Initiative „Early Warnings for All" ist, haben seine Plattformen, Satelliten und KI-Modelle Dutzenden Ländern dabei geholfen, ihre Frühwarnkapazitäten zu verbessern, wie UN-Generalsekretär Antonio Guterres auf der WAIC 2026 feststellte.

      Eine solche Form der Zusammenarbeit, die Technologietransfer, gemeinsame Forschung und Entwicklung sowie den Aufbau lokaler Kapazitäten umfasst, um Entwicklungsländern dabei zu helfen, ihre Bevölkerung besser zu schützen, ist genau das, was die Welt derzeit braucht, fügte Guterres hinzu.

      Original-Link: https://en.imsilkroad.com/p/352292.html

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