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Model Output Statistics for MANDALAY (48042)

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 SITTWE (AKYAB) (48062)

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 RANGOON (48097)

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 ]

New Sericini from Myanmar (Coleoptera: Scarabaeidae: Sericinae)

<p>Distribution data of the taxonomic paper: New Sericini from Myanmar (Coleoptera: Scarabaeidae: Sericinae)</p>

Reports of inversions of pseudo-dynamic rupture model and centroid moment tensor inversion of 28 March 2025 MW 7.7 Myanmar earthquake and moment tensor inversion of selected aftershocks

This dataset containts supplementary information for the publication "Supershear Rupture Along the Sagaing Fault Seismic Gap: The 2025 Myanmar Earthquake”, published in The Seismic Record. Specifically, it contains detailed html reports for the mainshock moment tensor inversion, all analysed aftershock moment tensor inversions, and the Pseudo-Dynamic Rupture inversion of the mainshock. Those reports include waveform misfit plots and figures showing uncertainties and parameter trade-offs. All source models were inverted using the Python-based tool Grond (Heimann et al., 2018) from the Pyrocko seismology software (Heimann et al., 2017). Grond is an open-source software for the characterization of earthquake sources based on seismic waveforms, waveform attributes, and/or geodetic observations like InSAR and GNSS. The HTML reports include information on the inversion setups, the best-fitting results, as well as bootstrap-based uncertainties, allowing for detailed insight into the result quality. To open the reports, please follow the instructions provided in the README files within the zip directories.

NUR: Management multipler Risiken bei Extremereignissen in schnell wachsenden (Mega)Städten Myanmars (RiskUrbMyanmar)

Development of Energy Education in the Mekong area (DEEM)

As the impacts of climate change accelerate, there is a strong need to also enhance support for the embedding of sustainable energy pathways in least developed countries. Responses to the challenges present in the energy-poverty-environment nexus call for multidisciplinary and context specific and capacities, as they are currently lacking in local decision making and research. Higher education institutions (HEIs) have crucial roles in providing expertise to meet the local needs in a sustainable manner. National energy and education policy documents have acknowledged gaps in skilled labor, and in the quality of national level higher education which is hindering economic development. This manifests especially in energy engineering where research laboratories and teaching methods are largely outdated. Through updated expertise the countries can address both energy access, regional connectivity issues, and climate change mitigation while fostering local economy and entrepreneurship. The DEEM project responds to the identified needs of the Mekong HEIs to: 1. create sustainable energy engineering curricula 2. improve sustainable energy knowledge and promote innovative pedagogical approaches and skills to foster research oriented learning 3. improve international, national and regional networks and knowledge exchange The project aims to integrate futures and sustainability thinking, promote innovation and entrepreneurship, build public-private partnerships and include innovative teaching methods. Associate partners from the national governments and civil society provide guidance on the most relevant challenges and skills needed. The wider objective is to ensure that the partner HEIs are able to respond to the capacity and employment needs of sustainable energy development in Cambodia, Laos and Myanmar. The objective will have a direct link to strengthening the integration of sustainable energy goals into national level energy policies, provide qualified energy experts into the local, national and regional labor markets and foster greater collaboration between the traditionally siloed public and private sector. It will also increase regional level cooperation and mobility in research, entrepreneurship and innovation. The intended short term direct impacts include modernisation and internationalisation of HEIs. In the longer term the project will contribute to sustainable energy policies, mitigation of climate GHG emissions and climate change, energy security and better access to energy for all.

Update Myanmar

The GRDC has updated the Global Runoff Database for 10 stations from Myanmar with daily discharge data. The data were kindly provided by the Department of Meteorology and Hydrology of Myanmar. Access to the data: GRDC Data Portal

Provenance and pressure-temperature-time-deformation evolution of Indian crust in central Myanmar

Other

Bilanz von Naturkatastrophen seit 1900 veröffentlicht

Mehr als sieben Billionen US-Dollar wirtschaftlichen Schaden und acht Millionen Tote durch Naturkatastrophen seit Beginn des 20. Jahrhunderts: Diese Bilanz hat der Geophysiker James Daniell vom Karlsruher Institut für Technologie (KIT) erstellt. Die von ihm entwickelte Datenbank CATDAT greift auf sozioökonomische Indikatoren zurück und bildet die Grundlage für ein Schadensmodell, das Regierungen und Hilfsorganisationen beim Abschätzen des Ausmaßes einer Katatstrophe und dem Katastrophenmanagement unterstützt. Seine Ergebnisse stellte Daniell am 18. April 2016 bei der Jahresversammlung der European Geosciences Union in Wien vor. Für die CATDAT hat James Daniell bislang mehr als 35.000 Katastrophenereignisse weltweit ausgewertet. Demnach gehen ein Drittel des wirtschaftlichen Gesamtschadens zwischen 1900 und 2015 auf das Konto von Flutkatastrophen. Erdbeben verursachen 26 Prozent der Schäden, Stürme 19 Prozent, Vulkanausbrüche machen lediglich ein Prozent aus. Während auf den gesamten Zeitraum gesehen Flutkatastrophen die größten Verursacher wirtschaftlicher Schäden sind, geht in der jüngeren Vergangenheit, seit 1960, mit 30 Prozent der größte Anteil auf Stürme (und Sturmfluten) zurück. Mehr als acht Millionen Tote durch Erdebeben, Flut, Sturm, Vulkanausbruch und Buschfeuer seit 1900 sind in der Datenbank CATDAT verzeichnet (ohne die Toten durch Langzeitfolgen, Trockenheit und Hungersnot). Die Zahl der Toten durch Erdbeben zwischen 1900 und 2015 liegt nach Daniells Daten bei 2,32 Millionen (Schwankungsbereich: 2,18 bis 2,63 Millionen). Die meisten von ihnen – 59 Prozent – starben durch zerstörte Backsteingebäude, 28 Prozent durch sekundäre Effekte wie Tsunamis und Erdrutsche. Durch Vulkanausbrüche starben im gleichen Zeitraum 98.000 Menschen (Schwankungsbereich: 83.000 bis 107.000). Verheerende Vulkanausbrüche vor 1900, wie der des Tambora 1815, können jeoch zu sehr hohen Todeszahlen und sich beispielsweise mit sinkenden Temperatungen weltweit auswirken, etwa auf die Nahrungsmittelsicherheit. Mit jeweils mehr als 100.000 Toten gehören der Tsunami 2004 im Indischen Ozean (ca. 230.000) und der Zyklon Nargis 2008 (ca. 140.000) in Myanmar zu den schwersten Katastrophen der jüngeren Vergangenheit. Das Ereignis mit den bislang meisten Todesopfern ist das Hochwasser 1931 in China mit 2,5 Millionen Toten.

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