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Model Output Statistics for MEDELLIN (OLAYA HERRERA AEROP.) (80110)

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 BOGOTA (ELDORADO AERO) (80222)

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 BARRANQUILLA (CORTISSOZ AEROP.) (80028)

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 CALI (A.B. ARAGON AERO) (80259)

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 CARTAGENA (RAFAEL NUNEZ AERO) (80022)

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 RIO NEGRO (J. M. CORDOVA AEROP.) (80112)

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 ]

Naturraumpotentiale im Verbreitungsgebiet temperierter Feuchtwaelder Nordamerikas

Das Forschungsvorhaben setzt sich zum Ziel, die wichtigsten landschaftlichen Teilpotentiale eines Beispielraumes (Olympic Peninsula, US-Bundesstaat Wash.) innerhalb der temperierten Feuchtwaldzone Nordamerikas zu bestimmen und zu bewerten. Nutzungsbedingte Veraenderungen des Naturraumpotentials werden durch einen oekologischen Vergleich natuerlicher und beeintraechtigter Standorte ermittelt und ihr Ausmass fuer die unterschiedlichen Nutzungsformen quantitativ bewertet. Diese Arbeiten werden durch einen grossraeumigen Ueberblick ueber die unterschiedlichen klimatisch und edaphisch bedingten Vegetations- und Standorttypen des temperierten Feuchtwaldes in der kanadischen Provinz British Columbia und den US-Bundesstaaten Washington und Oregon in einen groesseren Zusammenhang gestellt.

Schlechte Luftqualität verursacht jährlich 5,5 Millionen Todesfälle weltweit

Eine neue Untersuchung von Forscher der University of British Columbia im kanadischen Vancouver zeigt auf, dass jedes Jahr weltweit mehr als 5,5 Millionen Menschen vorzeitig an den Folgen von Luftverschmutzung sterben. 55 Prozent dieser Todesfälle treten in China und Indien auf. Im Jahr 2013 starben 1,6 Millionen Menschen in China und 1,4 Millionen in Indien an den Folgen schlechter Luftqualität. Hauptursachen der schlechte Luftgüte sind die Verbrennung von Kohle, Holz und Biomasse zur Energiegewinnung, aber auch Fabriken und der Verkehrssektor. Am 12. Februar 2016 sagte Michael Brauer, Professor für öffentliche Gesundheit, auf der Wissenschaftskonferenz AAAS in Washington, USA, dass Luftverschmutzung der viertwichtigste Risikofaktor für den Tod und bei weitem der wichtigste Umweltrisikofaktor für Krankheiten sei. Die Smogbekämpfung sei ein sehr effizienter Weg, um die Gesundheit der Bevölkerung zu verbessern.

Implementation of Nationally Determined Contributions

The study analyses the country background, emissions trends, ongoing activities and barriers relating to the implementation of the Nationally Determined Contribution (NDC) of Colombia under the ⁠UNFCCC⁠. A special emphasis is laid on further mitigation potentials in the fields of renewable energy production from wind and solar PV, social housing, forest conservation in existing illicit crop substitution programmes and cattle. A chapter is dedicated to coal export and use.

Multi-proxy tree-ring analysis of conifer trees disturbed by insect outbreaks

Insect outbreaks are a major disturbance influencing forest dynamics in many ecosystems and can affect forest productivity worldwide. Reconstruction of insect outbreak history is fundamental to forest management. While the action of cambium feeders on trees leads to the formation of scars, that of defoliators is observable via growth suppression in tree rings. The occurrence of past insect attacks can thus be inferred from such tree-ring signatures. However, it necessitates an accurate dating of events, with high temporal resolution, as well as their correct attribution to the right disturbance agent. Fire also leaves scars on trees that can occur on cross-sectional disks where insect scars are already present, thus making them difficult to distinguish. Furthermore, insect-elicited reductions in radial growth may not be clearly visible on samples, and the radial growth response to defoliation often bears a lag of one or more years. This project tackles these issues directly by proposing a multi-proxy approach aiming at improving tree-ring reconstructions of insect outbreaks. Tree rings will be investigated to study radial variations of tree-ring width, wood anatomy, wood density, and wood chemistry. While dendrochronologists have long relied on tree-ring width variations to track the signal induced by climate, geomorphic and ecological processes, they have scarcely exploited the potential of other proxies and rarely used them in combination. The most advanced studies that have embraced these possibilities are owed to dendroclimatologists. The core of this research therefore lies in the use of multiple wood traits to provide answers to the above mentioned dendroecological questions. Two conifer tree species from British Columbia and their respective pests are within the scope of this study: the mountain pine beetle (MPB, Dendroctonus ponderosae Hopkins), a cambium feeder, on lodgepole pine (Pinus contorta Douglas), and the western spruce budworm (WSBW, Choristoneura occidentalis Freeman), a defoliator, on Douglas-fir (Pseudotsuga menziesii Franco). It is hypothesized that insect outbreak disturbance in the form of bark beetle or defoliation events results in abrupt significant structural differences between the wood formed prior to and after the insect attack. Based on pioneering tree-ring research on insect outbreaks, there are great prospects that the variations of wood traits be proven useful for differentiating MPB scars from fire scars and for identifying WSBW defoliation events, possibly with higher temporal resolution. The study of multiple wood traits (proxies) will help gain an understanding of the influence of insect outbreak disturbance on wood formation and tree physiological processes, a prerequisite for improving the detection and dating of events in tree-ring series. (...)

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