Other language confidence: 0.685655643937592
Ziel dieses Projektes ist es, den nutzbaren Altersbereich für OSL-Datierungen von 200-400 ka in Richtung 1 Ma auszuweiten. Diese Ausweitung würde die zeitliche Lücke in unserem Vermögen klastische Sedimente zu datieren, zwischen Radiokohlenstoffdatierung (bis ca. 40 ka) und Bedeckungsalterdatierung (größer als 500 ka), schliessen helfen.
The dynamics of Patagonian Lenga-forests (Nothofagus pumilio) will be studied at two long-term investigation sites of the University of Chile of Santiago. Field data will be acquired in two field campaigns and involve structural surveys, increment coring and stem analyses. The aim of the proposed project is to model Lenga forest dynamics with an individual tree-based modelling approach. Building upon experience with the SILVA model, the major challenge lies in the old growth and regeneration phase, and the gap heterogeneity which can only be represented on the landscape scale. The approach is unique in a sense that it applies principles from individual-tree modelling to the classical field of gap models. It profits from the strong competition algorithms and structural sensitivity of individual tree models and overcomes the limitation of regular grids in gap models. The project will unite 30 years field experience and data collection at the U.Chile and the modelling background at the TUM. Besides the progress in the understanding of forest growth processes, the growth model will support the sustainable silvicultural management of the resource Lenga.
Ziel dieses Projekts ist zu untersuchen, inwieweit Verwerfungen und tektonische Hebung die Entwicklung des Abflusses im Norden Chiles beeinflusst haben. Oberflächenhebung durch Bewegung auf Verwerfungen kann die Reorganisation von Gewässernetzen erzwingen. Wir planen sowohl etablierte als auch neuartige geochronologische Techniken zu nutzen, um Verlagerungen von Abflussrinnen zu datieren. Die zentrale Frage ist, ob Abflussreorganisation in der Atacama-Wüste in erster Linie mit lokalen tektonischen Ereignissen zusammenhängt oder mit großräumigen Veränderungen des Klimas. Beide sind episodisch und beeinflussen sich möglicherweise wechselseitig in ihrer Auswirkung auf das Entwässerungsnetz.
This data publication provides access to three-component (3C) passive seismic data collected in the National Park La Campana, Chile. The data acquisition was conducted as part of the EarthShape project, specifically the Geophysical Imaging of the Deep Earth (GIDES) initiative. The seismic array was strategically positioned to intersect an existing borehole location. This borehole boasts a wealth of data, including core samples and geophysical logging information. The passive seismic data plays a crucial role in imaging the structure of the deep weathering zone beneath the surface. The dataset includes the raw data captured by the CUBE data logger. This raw data can be converted into the widely used miniSEED format using the freely available GIPP (Geophysical Instruments Pool Potsdam) tools. This conversion facilitates seamless integration with other seismic analysis software, promoting broader utilization of the data by the scientific community.
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 ]
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 ]
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 ]
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 ]
| Organisation | Count |
|---|---|
| Bund | 362 |
| Europa | 12 |
| Kommune | 2 |
| Land | 14 |
| Weitere | 9 |
| Wirtschaft | 1 |
| Wissenschaft | 201 |
| Zivilgesellschaft | 1 |
| Type | Count |
|---|---|
| Ereignis | 9 |
| Förderprogramm | 320 |
| Repositorium | 1 |
| Text | 27 |
| unbekannt | 41 |
| License | Count |
|---|---|
| Geschlossen | 17 |
| Offen | 354 |
| Unbekannt | 27 |
| Language | Count |
|---|---|
| Deutsch | 327 |
| Englisch | 119 |
| Resource type | Count |
|---|---|
| Archiv | 20 |
| Bild | 1 |
| Datei | 26 |
| Dokument | 24 |
| Keine | 272 |
| Webseite | 101 |
| Topic | Count |
|---|---|
| Boden | 290 |
| Lebewesen und Lebensräume | 398 |
| Luft | 212 |
| Mensch und Umwelt | 397 |
| Wasser | 223 |
| Weitere | 379 |