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Copenhagen, Denmark

DTU Space ) is a Danish sector research Institute and a part of the Technical University of Denmark. It has a staff of 169, including researchers, engineers, and technicians.The Center conducts research in astrophysics, Solar System physics, geodesy, and space technology. To conduct the research, the Center collaborates with the Niels Bohr Institute for Astronomy, Geophysics and Physics.It came about as a result of combining the Danish Space Research Institute with the geodesy part of the National Survey and Cadastre of Denmark on January 1, 2005 to form the Danish National Space Center . In 2007 DNSC merged with the Technical University of Denmark, and in 2008 changed name to DTU Space.The centre currently leads Swarm, a project to investigate the properties of the earth's magnetic field. Wikipedia.


Sanchez-Reales J.M.,University of Alicante | Andersen O.B.,Danish National Space Center | Vigo M.I.,University of Alicante
Pure and Applied Geophysics | Year: 2016

With increased geoid resolution provided by the gravity and steady-state ocean circulation explorer (GOCE) mission, the ocean’s mean dynamic topography (MDT) can be now estimated with an accuracy not available prior to using geodetic methods. However, an altimetric-derived MDT still needs filtering in order to remove short wavelength noise unless integrated methods are used in which the three quantities are determined simultaneously using appropriate covariance functions. We studied nonlinear anisotropic diffusive filtering applied to the ocean´s MDT and a new approach based on edge-enhancing diffusion (EED) filtering is presented. EED filters enable controlling the direction and magnitude of the filtering, with subsequent enhancement of computations of the associated surface geostrophic currents (SGCs). Applying this method to a smooth MDT and to a noisy MDT, both for a region in the Northwestern Pacific Ocean, we found that EED filtering provides similar estimation of the current velocities in both cases, whereas a non-linear isotropic filter (the Perona and Malik filter) returns results influenced by local residual noise when a difficult case is tested. We found that EED filtering preserves all the advantages that the Perona and Malik filter have over the standard linear isotropic Gaussian filters. Moreover, EED is shown to be more stable and less influenced by outliers. This suggests that the EED filtering strategy would be preferred given its capabilities in controlling/preserving the SGCs. © 2015, Springer Basel. Source


Cheng Y.,Danish National Space Center | Li X.,National Oceanic and Atmospheric Administration | Xu Q.,Hohai University | Xu Q.,CAS Institute of Atmospheric Physics | And 3 more authors.
Marine Pollution Bulletin | Year: 2011

Oil spills are a major contributor to marine pollution. The objective of this work is to simulate the oil spill trajectory of oil released from a pipeline leaking in the Gulf of Mexico with the GNOME (General NOAA Operational Modeling Environment) model. The model was developed by NOAA (National Oceanic and Atmospheric Administration) to investigate the effects of different pollutants and environmental conditions on trajectory results. Also, a Texture-Classifying Neural Network Algorithm (TCNNA) was used to delineate ocean oil slicks from synthetic aperture radar (SAR) observations. During the simulation, ocean currents from NCOM (Navy Coastal Ocean Model) outputs and surface wind data measured by an NDBC (National Data Buoy Center) buoy are used to drive the GNOME model. The results show good agreement between the simulated trajectory of the oil spill and synchronous observations from the European ENVISAT ASAR (Advanced Synthetic Aperture Radar) and the Japanese ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array L-band Synthetic Aperture Radar) images. Based on experience with past marine oil spills, about 63.0% of the oil will float and 18.5% of the oil will evaporate and disperse. In addition, the effects from uncertainty of ocean currents and the diffusion coefficient on the trajectory results are also studied. © 2010 Elsevier Ltd. Source


Siingh D.,Indian Institute of Tropical Meteorology | Siingh D.,Danish National Space Center | Singh R.P.,Veer Kunwar Singh University
Pramana - Journal of Physics | Year: 2010

In this paper, we have provided an overview of cosmic ray effects on terrestrial processes such as electrical properties, global electric circuit, lightning, cloud formation, cloud coverage, atmospheric temperature, space weather phenomena, climate, etc. It is suggested that cosmic rays control short-term and long-term variations in climate. There are many basic phenomena which need further study and require new and long-term data set. Some of these have been pointed out. © Indian Academy of Sciences. Source


Kwok R.,Jet Propulsion Laboratory | Pedersen L.T.,Danish Meteorological Institute | Gudmandsen P.,Danish National Space Center | Pang S.S.,Jet Propulsion Laboratory
Geophysical Research Letters | Year: 2010

Sea ice flux through the Nares Strait is most active during the fall and early winter, ceases in mid-to latewinter after the formation of ice arches along the strait, and re-commences after breakup in summer. In 2007, ice arches failed to form. This resulted in the highest outflow of Arctic sea ice in the 13-year record between 1997 and 2009. The 2007 area and volume outflows of 87 × 103 km2 and 254 km3 are more than twice their 13-year means. This contributes to the recent loss of the thick, multiyear Arctic sea ice and represents ∼10% of our estimates of the mean ice export at Fram Strait. Clearly, the ice arches control Arctic sea ice outflow. The duration of unobstructed flow explains more than 84% of the variance in the annual area flux. In our record, seasonal stoppages are always associated with the formation of an arch near the same location in the southern Kane Basin. Additionally, close to half the time another ice arch forms just north of Robeson Channel prior to the formation of the Kane Basin arch. Here, we examine the ice export with satellitederived thickness data and the timing of the formation of these ice arches. Copyright © 2010 by the American Geophysical Union. Source


Cheng Y.,Danish National Space Center | Cheng Y.,State Oceanic Administration | Andersen O.B.,Danish National Space Center
Journal of Geophysical Research: Oceans | Year: 2011

A new global ocean tide model named DTU10 (developed at Technical University of Denmark) representing all major diurnal and semidiurnal tidal constituents is proposed based on an empirical correction to the global tide model FES2004 (Finite Element Solutions), with residual tides determined using the response method. The improvements are achieved by introducing 4 years of TOPEX-Jason 1 interleaved mission into existing 18 years (1993-2010) of primary joint TOPEX, Jason 1, and Jason 2 mission time series. Hereby the spatial distribution of observations are doubled and satellite altimetry should be able to recover twice the spatial variations of the tidal signal which is particularly important in shallow waters where the spatial scale of the tidal signal is scaled down. Outside the ±66° parallel combined Envisat, GEOSAT Follow-On, and ERS-2, data sets have been included to solve for the tides up to the ±82° parallel. A new approach to removing the annual sea level variations prior to estimating the residual tides significantly improved tidal determination of diurnal constituents from the Sun-synchronous satellites (e.g., ERS-2 and Envisat) in the polar seas. Extensive evaluations with six tide gauge sets show that the new tide model fits the tide gauge measurements favorably to other state of the art global ocean tide models in both the deep and shallow waters, especially in the Arctic Ocean and the Southern Ocean. One example is a comparison with 207 tide gauge data in the East Asian marginal seas where the root-mean-square agreement improved by 35.12%, 22.61%, 27.07%, and 22.65% (M2, S2, K1, and O1) for the DTU10 tide model compared with the FES2004 tide model. A similar comparison in the Arctic Ocean with 151 gauge data improved by 9.93%, 0.34%, 7.46%, and 9.52% for the M2, S2, K1, and O1 constituents, respectively. Copyright 2011 by the American Geophysical Union. Source

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