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Karyotaxonomische Untersuchungen an ausgewählten Amaryllidaceae-Sippen von Chile

Zahlreiche, zumeist endemische, chilenische Monocotylen-Sippen werden im Rahmen eines Gemeinschaftsprojektes der Landwirtschaftlichen und Biologischen Fakultät der Universität Talca, Chile, hinsichtlich ihrer Verwendbarkeit für kommerzielle Zwecke (Zierpflanzen) untersucht. Die biologische Begleitforschung zielt auf die Lösung verschiedener taxonomischer Probleme, z.B. die Aufgliederung der Gattung Hippeastrum s.l. (Amaryllidaceae) auf Basis der Chromosomengrundzahlen und des Karyotyps.

Solarfeld-Messungen zur Steigerung der Performanz

Das Ziel von LEIA ist es, smarte Steuerungsstrategien sowie Lösungen für Betrieb und Wartung auf einem vorkommerziellen Entwicklungsniveau am Beispiel eines kommerziellen Solarturmkraftwerks in Chile zu kombinieren und zu integrieren. LEIA wird sich technologischen und industriellen Hindernissen in Bezug auf den zentralen Receiver sowie das Heliostatfeld stellen. Durch die Verwendung intelligenter Kalibrierungsverfahren sollen Kosten gesenkt und dadurch strategische Vorteile auf dem Markt für punktfokussierende Systeme (solare Turmkraftwerke) geschaffen werden, die wiederum gesteigerte Attraktivität für Investoren schaffen. LEIA ist ein internationales Verbundvorhaben mit den deutschen Partnern DLR und CSP Services, dem assoziierten Partner Siemens Energy, sowie vier spanischen Partnern aus Forschung und Industrie. Außerdem steht zu Demonstrationszwecken das chilenische Kraftwerk Cerro Dominador zur Verfügung. In mehreren Arbeitspaketen werden Kalibrier-, Monitoring- und Charakterisierungsverfahren aus der Forschung auf den Stand von Prototypen gebracht, welche im Anschluss von der Industrie zur Produktreife kommen sollen. Genauer handelt es sich um die indirekte Messung der Flussdichte auf der Receiveroberfläche, der Messung der ortsaufgelösten Temperatur des Receivers, der Receivereffizienz, sowie der ortsaufgelösten Verschmutzung des Solarfelds. Im zweiten Teil des Vorhabens werden diese Entwicklungen getestet und es wird evaluiert auf welche Weise diese Entwicklungen in ein Gesamtsystem zur intelligenten Steuerung und Wartung von Solarturmkraftwerken einfließen können.

KI-basierte Erfassung und Monitoring von klimainduzierten Naturkatastrophen und Analyse der Exposition

Radio-Magnetotelluric data from Nahuelbuta (Chile) in the vicinity of the DeepEarthShape Drillhole

In 2019, as part of the interdisciplinary DFG priority program SPP1803 „EarthShape - Earth Surface Shaping by Biota“, the DeepEarthShape project was launched. The main goal of this German-Chilean research initiative was to gain a broader understanding of the interaction between geological, geochemical and biological processes controlling the weathering in the first tens to hundred metres of the subsurface. The elongated Chilean Coastal Range was selected as the ideal study area to investigate the effects of vegetation, precipitation and erosion on the transformation of intact bedrock into regolith within the so-called critical zone (CZ). This area encompasses several climate zones, from dry to humid, within a similar geological complex. We have carried out a Radio-Magnetotelluric (RMT) survey using a horizontal magnetic dipole (HMD) transmitter to image the electrical resistivity distribution, the lateral extent of the near-surface layers and the CZ at two sites of the DeepEarthShape project - Santa Gracia and Nahuelbuta (shown in this data publication).

Model Output Statistics for PUNTA ARENAS (CARLOS IBANEZ INT. AERO) (85934)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for ISLA DIEGO RAMIREZ (85972)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for CONCEPCION AEROP. (85682)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for PUDAHUEL (85574)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for BALMACEDA (85874)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for QUINTA NORMAL (85577)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

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