458 resultados para Dach


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Anlässlich einer CDE Retraite im Frühjahr 2009 wurde die Frage der Entwicklung von Kompetenzen am CDE diskutiert. Eine Schlussfolgerung war, dass es notwendig sei, eine systematischeren Umgang mit diesem Thema zu entwickeln. Eine Arbeitsgruppe wurde eingesetzt, welche einen Vorschlag erarbeitete, wie ein Kompetenz-Mapping durchgeführt werden sollte. Im Herbst 2009 wurde entsprechend diesem Vorschlag unter den Mitarbeitenden des CDE eine Umfrage zur Erfassung des Ist-Zustandes betreffend Kompetenzen durchgeführt.

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The International GNSS Service (IGS) issues four sets of so-called ultra-rapid products per day, which are based on the contributions of the IGS Analysis Centers. The traditional (“old”) ultra-rapid orbit and earth rotation parameters (ERP) solution of the Center for Orbit Determination in Europe (CODE) was based on the output of three consecutive 3-day long-arc rapid solutions. Information from the IERS Bulletin A was required to generate the predicted part of the old CODE ultra-rapid product. The current (“new”) product, activated in November 2013, is based on the output of exactly one multi-day solution. A priori information from the IERS Bulletin A is no longer required for generating and predicting the orbits and ERPs. This article discusses the transition from the old to the new CODE ultra-rapid orbit and ERP products and the associated improvement in reliability and performance. All solutions used in this article were generated with the development version of the Bernese GNSS Software. The package was slightly extended to meet the needs of the new CODE ultra-rapid generation.

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The Empirical CODE Orbit Model (ECOM) of the Center for Orbit Determination in Europe (CODE), which was developed in the early 1990s, is widely used in the International GNSS Service (IGS) community. For a rather long time, spurious spectral lines are known to exist in geophysical parameters, in particular in the Earth Rotation Parameters (ERPs) and in the estimated geocenter coordinates, which could recently be attributed to the ECOM. These effects grew creepingly with the increasing influence of the GLONASS system in recent years in the CODE analysis, which is based on a rigorous combination of GPS and GLONASS since May 2003. In a first step we show that the problems associated with the ECOM are to the largest extent caused by the GLONASS, which was reaching full deployment by the end of 2011. GPS-only, GLONASS-only, and combined GPS/GLONASS solutions using the observations in the years 2009–2011 of a global network of 92 combined GPS/GLONASS receivers were analyzed for this purpose. In a second step we review direct solar radiation pressure (SRP) models for GNSS satellites. We demonstrate that only even-order short-period harmonic perturbations acting along the direction Sun-satellite occur for GPS and GLONASS satellites, and only odd-order perturbations acting along the direction perpendicular to both, the vector Sun-satellite and the spacecraft’s solar panel axis. Based on this insight we assess in the third step the performance of four candidate orbit models for the future ECOM. The geocenter coordinates, the ERP differences w. r. t. the IERS 08 C04 series of ERPs, the misclosures for the midnight epochs of the daily orbital arcs, and scale parameters of Helmert transformations for station coordinates serve as quality criteria. The old and updated ECOM are validated in addition with satellite laser ranging (SLR) observations and by comparing the orbits to those of the IGS and other analysis centers. Based on all tests, we present a new extended ECOM which substantially reduces the spurious signals in the geocenter coordinate z (by about a factor of 2–6), reduces the orbit misclosures at the day boundaries by about 10 %, slightly improves the consistency of the estimated ERPs with those of the IERS 08 C04 Earth rotation series, and substantially reduces the systematics in the SLR validation of the GNSS orbits.

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Satellite laser ranging (SLR) to the satellites of the global navigation satellite systems (GNSS) provides substantial and valuable information about the accuracy and quality of GNSS orbits and allows for the SLR-GNSS co-location in space. In the framework of the NAVSTAR-SLR experiment two GPS satellites of Block-IIA were equipped with laser retroreflector arrays (LRAs), whereas all satellites of the GLONASS system are equipped with LRAs in an operational mode. We summarize the outcome of the NAVSTAR-SLR experiment by processing 20 years of SLR observations to GPS and 12 years of SLR observations to GLONASS satellites using the reprocessed microwave orbits provided by the center for orbit determination in Europe (CODE). The dependency of the SLR residuals on the size, shape, and number of corner cubes in LRAs is studied. We show that the mean SLR residuals and the RMS of residuals depend on the coating of the LRAs and the block or type of GNSS satellites. The SLR mean residuals are also a function of the equipment used at SLR stations including the single-photon and multi-photon detection modes. We also show that the SLR observations to GNSS satellites are important to validate GNSS orbits and to assess deficiencies in the solar radiation pressure models. We found that the satellite signature effect, which is defined as a spread of optical pulse signals due to reflection from multiple reflectors, causes the variations of mean SLR residuals of up to 15 mm between the observations at nadir angles of 0∘ and 14∘. in case of multi-photon SLR stations. For single-photon SLR stations this effect does not exceed 1 mm. When using the new empirical CODE orbit model (ECOM), the SLR mean residual falls into the range 0.1–1.8 mm for high-performing single-photon SLR stations observing GLONASS-M satellites with uncoated corner cubes. For best-performing multi-photon stations the mean SLR residuals are between −12.2 and −25.6 mm due to the satellite signature effect.

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In recent years developing countries have faced highly dynamic changes affecting their natural resource base and their potential for development. Taking into account these changes in the development context, InfoResources initiated a critical reassessment of the results of InfoResources Trends 2005 and again invited experts from around the world to assess trends that least developed countries are likely to be facing by 2025. The unanimous signal conveyed by the international experts for this assessment is alarming: The degradation of natural resources is progressing. By 2025 it will reach a point where livelihoods in least developing countries will be significantly threatened and an increasing number of agro-ecosystems will lose their capacity to deliver important services. Expected positive social trends will not suffice as leverage to reverse the degradation of natural resources and thus alleviate poverty and hunger. However, the present reassessment clearly reveals that a change in thinking and a shift in paradigms have begun to take place. However, a turnaround can only succeed if the emerging awareness of the need to reorient policy-making and the economy is followed by concrete action. It will be crucial that policies and institutions regain regulating power over greedy economic forces. This reassessment does not claim to be comprehensive. However, the present publication, which synthesises the experts’ inputs, aims at providing food for thought and initiating discussions.

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The Centre for Development and Environment (CDE) at the University of Bern has long-standing experience in conducting research in mountain regions around the world. CDE considers mountain regions to be a crucial context for sustainable development. Together with its partners, CDE aims to generate in-depth contextual knowledge about the dynamic social, economic, and ecological processes in mountain regions and elsewhere, with a view to informing development practices, while at the global level it engages in activities that help bring together these regional insights with the goal of informing policy-making. In doing so, CDE addresses the specific challenges of sustainable development—in mountains and elsewhere.

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