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Videos uploaded by user “CEN Climate Visualization Laboratory”
5km ICON Dyamond simulation - Cloud water, ice, rain, snow and graupel
 
03:01
Dyamond project description: https://www.esiwace.eu/services/dyamond. Visualization by Felicia Brisc (CEN), simulation by Daniel Klocke, DWD/Hans Ertel Centre for Weather Research.
PALM LES Model: Wind gusts around the HafenCity Universität Hamburg
 
02:03
Climate change and the adaption to the effects are one of the biggest challenges especially for growing cities like Hamburg. More frequent heat waves, storms as well as air quality issues are only a few examples which require a detailed knowledge about urban climate and the wind within a city. Extensive measurement campaigns (http://www.uc2-3do.org) and high resolution simulations are performed within the BMBF funded research project [UC]2 “Urban Climate Under Change” to investigate the turbulent flow and wind gusts. The large eddy simulation (LES) model PALM (www.palm-model.org) , developed by the Institute of Meteorology and Climatology (Leibniz University Hannover), is used to run the simulation on the DKRZ supercomputer. The model domain is located at the HafenCity Hamburg and includes an area of 1600 x 300 m with 600 m in the vertical. The spatial resolution is 1 m in all directions and the inflow wind speed is 5 m/s. The animation shows the wind conditions respectively the vorticity around the HafenCity University building which is built directly on the waterfront of the Elbe river. The vorticity shown is a measure for the gustiness, which is highest at locations with reddish colours. The simulation depicts the high gustiness at the corners of the building and the entrance area. This issue is of special interest due to the metro exit located nearby. Furthermore, the long wake and influence of the building on the wind is clearly visible. The simulation illustrates the interaction of the flow with the surrounding buildings. Certainly, the model output has to be evaluated and compared with real measurement data to further improve the model and ensure realism. This analysis is done within the project [UC]2. The sub-project TP10 "Meteorological characterization of forcing and urban response for climate model assessment”, realized by the Meteorological Institute of the Universität Hamburg, carried out several measurement campaigns at this exact site to provide high-resolution validation data. For further information about the research project and available measurements, please have a look at: http://www.uc2-program.org/ and http://www.uc2-3do.org Authors: Akio Hansen, Sarah Wiesner, Felix Ament (Uni. Hamburg), Katrin Scharf (Leibniz Uni. Hannover). Simulation performed by Akio Hansen (Uni. Hamburg), visualization rendered by Felicia Brisc (CEN/Uni. Hamburg).
5km ICON Dyamond simulation - vertically integrated water vapor
 
02:24
Dyamond project description: https://www.esiwace.eu/services/dyamond. Visualization by Felicia Brisc (CEN), simulation by Daniel Klocke, DWD/Hans Ertel Centre for Weather Research.
The new high resolution global lithological map
 
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View the new interactive version of the map: http://lithomap.cen.uni-hamburg.de A new high resolution global lithological map was assembled by Jens Hartmann and Nils Moosdorf (KlimaCampus) in cooperation with the Commission for the Geological Map of the World. The map shows the rock types of the Earth surface using 1,235,400 polygons and allows for unprecedented accuracy in the analysis of their role in the Earth system. Rocks impact many processes at the Earth surface, affecting among others the stability of the soil, the availability of groundwater and the water quality of rivers. Understanding the distribution of rocks is important for climate research, because their chemical weathering influences the long-term CO2 levels of the atmosphere. Visualization by Felicia Brisc, http://www.clisap.de/clisap/people/felicia_brisc/ More information and videos at http://vis.clisap.de
2007-2012 Arctic Sea Ice with lowest extent on satellite record from 16 Sept. 2012
 
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Satellite Observation of Arctic Sea Ice Concentration Jan 2007- Sept 2012, Daily Special Sensor Microwave/Imager (SSM/I) Algorithm: Lars Kaleschke. SSM/I Data: Sea-Ice drift vectors for Arctic & Antarctic (NSIDC). Visualized on the visualization server of the German Climate Computing Centre (DKRZ) by Felicia Brisc, CliSAP (http://www.clisap.de/clisap/people/felicia_brisc/)
Properties and circulation on a North Atlantic and Arctic Oceans' dense isopycnal layer
 
01:16
The animations show water temperature, velocity magnitude and salinity (4 months each) on the potential density surface σ3= 41.34 kg*m-3 during year 2007 from a MITgcm 4-km resolution ocean simulation. The density surface abruptly changes depth east and west of Greenland, being shallower (at around 200m) in the Arctic Ocean, Baffin Bay and Nordic Seas, where the upper ocean is colder and therefore denser, and deeper (at about 2000m) in the North Atlantic, where warm and light water occupies the upper ocean. The dense water surface “cascades” down the continental slope south of the Denmark Strait and Iceland-Scotland overflow regions, which are the routes of dense water export from the Nordic Seas. The temperatures at the shown density are generally much warmer and the salinities much higher in the North Atlantic than in the Arctic Ocean and Nordic Seas, with the exception of the region off Norway, where the warm and salty Atlantic inflow progresses northwards towards the Barents Sea and Fram Strait. The strongest currents can be seen where the dense water is flowing out of the Nordic Seas “cascading” down the continental slope south of the Denmark Strait and of the Iceland-Scotland Ridge. Besides those overflow regions, water has large speeds generally all along western boundaries and within ocean eddies.
A tropical-like cyclone in the Mediterranean Sea
 
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Visualization of a 300m ICON LEM simulation. Full description here: https://tinyurl.com/y9oda8f8
Simulation of Cyclone Christian and Typhoon Haiyan
 
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Visualization of an ECHAM6 simulation of Cyclone Christian and Typhoon Haiyan. Description and dataset details on the CliSAP Visualization Lab homepage, direct link: http://tinyurl.com/hbuuhcw
Global sea level rise and regional variability
 
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Available in HD. On the basis of tide level data it is known that the sea level is rising since 1990 by almost 2 cm per decade on global average. Since the early 1990s, satellite measurements show a higher value of 3 cm per decade, such that the global sea level has risen by about 20cm since 1900. On a regional scale, however, the impact of dynamic changes in the climate system on the sea level is often of greater importance. Through a synthesis of observed data with a dynamic ocean model it was attempted to reconstruct these changes for the last 60 years. The elastic deformation of the Earth and gravitational and rotational changes are not part of this reconstruction. In particular, climate modes such as the North Atlantic Oscillation and El Niño affect regional patterns of sea level variability strongly as it is visible for the strong El Niño during 1997/98. The eastward shift of the warm water associated with the El Niño phase produces, for example, sea level changes of more than 20cm.The increase that takes place over the entire period thus remains almost unnoticed to the viewer. Visualization by: Felicia Brisc, http://www.clisap.de/clisap/people/felicia_brisc More videos at http://vis.clisap.de.
Particles simulation of North Atlantic salinity at 20m depth
 
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Particles deployed at 20m depth in a 4-km MITgcm run. Visualization was done with ParaView and the NetCDF Trajectory Reader Plugin (https://www.clisap.de/research/ia:-integrated-activities/ia-5:-visualization/video-gallery/video-gallery-pages/ocean/the-trajectory-reader/)
Simulation of the Okushiri and Tohoku tsunami events
 
01:24
Visualized with ParaView and using the UGRID Reader
Arctic Sea Ice Melt Season 2015
 
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The description of the video can be read here: http://tinyurl.com/nnt6e64. Animation by Felicia Brisc, Climate Visualization Laboratory, University of Hamburg, http://vis.clisap.de
SSM/I Arctic Sea Ice (Dec 1991 - Nov 2011)
 
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Satellite Observation of Arctic Sea Ice Concentration 1991-2011, Daily Special Sensor Microwave/Imager (SSM/I) Algorithm: Lars Kaleschke. SSM/I Data: Sea-Ice drift vectors for Arctic & Antarctic (NSIDC). Visualization by Felicia Brisc, CliSAP Hamburg. http://www.clisap.de/clisap/people/felicia_brisc/ More animations available on the Climate Visualization Laboratory website: http://vis.clisap.de
Salinity and Relative Vorticity Isosurfaces (3km MITgcm Simulation)
 
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Visualization by Felicia Brisc, CliSAP Hamburg, http://www.clisap.de/clisap/people/felicia_brisc/ More details about this animation are available here: http://www.clisap.de/research/ia:-integrated-activities/ia-5:-visualization/video-gallery/video-gallery-pages/ocean/eddies-in-the-mediterranean/
SSM/I Antarctic Sea Ice Concentration (Dec 1991 - Jan 2012)
 
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Satellite Observation of Antarctic Sea Ice Concentration 12/12/1991 - 24/01/2012, Daily Special Sensor Microwave/Imager (SSM/I) Algorithm: Lars Kaleschke. SSM/I Data: Sea-Ice drift vectors for Arctic & Antarctic (NSIDC). Visualization by Felicia Brisc, CliSAP Hamburg, http://www.clisap.de/clisap/people/felicia_brisc/ More videos are available on the Climate Visualization Laboratory website: http://vis.clisap.de
SSM/I Arctic Sea Ice Cover: Average (1992-2001) Versus Daily Conditions (1991-2011)
 
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Regular or anomalous? View daily Arctic sea ice cover against average (1992-2001) conditions. Satellite Observation of Arctic Sea Ice Concentration 1991-2011, Daily Special Sensor Microwave/Imager (SSM/I) Algorithm: Lars Kaleschke. SSM/I Data: Sea-Ice drift vectors for Arctic & Antarctic (NSIDC). Visualization by Felicia Brisc, CliSAP Hamburg, http://www.clisap.de/clisap/people/felicia_brisc/
Salinity on a North Atlantic and Arctic Oceans' dense isopycnal layer
 
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Salinity on the potential density surface σ3= 41.34 kg*m-3 during year 2007 from a MITgcm 4-km resolution ocean simulation.
Arctic sea ice 2011-2013: variability of ice concentration and thickness from new satellite data
 
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(C) KlimaCampus/DKRZ -- Available in HD -- Information on the sea ice are important both for weather forecasting and climate research as well as for the safe and economical navigation on the increasingly accessible shipping routes in the Arctic. Satellite-based microwave radiometers provide the most important data quickly and comprehensively, regardless of cloud cover, and also during the long polar night. Data from the satellite SMOS of the European Space Agency ESA can be used to determine the thickness of sea ice. The sea ice coverage (concentration) was determined from data measured with the satellite sensor SSMIS (Special Sensor Microwave Image Sounder). The determination of ice thickness with SMOS is feasible only if the ice is relatively thin and very cold, which limits this application to the winter months. Visualization by Felicia Brisc (http://www.clisap.de/clisap/people/felicia_brisc), Climate Visualization Laboratory (http://vis.clisap.de) http://vis.clisap.de
Tidal flows in Port Curtis, Australia (UGRID NetCDF data format)
 
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Mixed triangular/quadrilateral unstructured mesh visualized with the UGRID Reader Plugin and ParaView. More details about the UGRID Reader on the Climate Visualization Laboratory website: http://tinyurl.com/jrwkqo9
Speed of currents on a North Atlantic and Arctic Oceans' dense isopycnal layer
 
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Speed of currents on the potential density surface σ3= 41.34 kg*m-3 during year 2007 from a MITgcm 4-km resolution ocean simulation.
Tsunami simulation, Tohoku event 2011 (Hayes)
 
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Visualized with ParaView and the UGRID Reader Plugin. More details about the UGRID Reader on the Climate Visualization Laboratory website: http://tinyurl.com/jrwkqo9
The Trajectory Reader Plugin
 
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The Trajectory Reader is a plugin for loading NetCDF trajectory files in ParaView. More details here: http://www.clisap.de/research/ia:-integrated-activities/ia-5:-visualization/video-gallery/video-gallery-pages/ocean/the-trajectory-reader/
Atlantic Storms Mix the Surface Layer of the Ocean
 
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The animation shows the fluctuations of the ocean's surface mixed layer: The color scale reflects the thickness of the layer. The red colors reflect particularly thick layers, while the bluish colors indicate thinner uniform layers. Visualized on the visualization server of the German Climate Computing Centre (DKRZ) by Felicia Brisc, KlimaCampus Hamburg.
SSM/I Arctic Sea Ice 05 Dec 1991 - 17 Sept 2012
 
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Satellite Observation of Arctic Sea Ice Concentration 1991-2012, Daily Special Sensor Microwave/Imager (SSM/I) Algorithm: Lars Kaleschke. SSM/I Data: Sea-Ice drift vectors for Arctic & Antarctic (NSIDC). Visualizatiom by Felicia Brisc, CliSAP Hamburg, http://www.clisap.de/clisap/people/felicia_brisc/
Sea Surface Temperature and Velocity Magnitude at 100m (2002)
 
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Visualization by Felicia Brisc, CliSAP Hamburg. http://www.clisap.de/clisap/people/felicia_brisc/ More details about this animation are available here: http://www.clisap.de/research/ia:-integrated-activities/ia-5:-visualization/video-gallery/video-gallery-pages/ocean/the-warmth-of-the-gulf-stream-gives-europe-its-mild-climate/
Sea level is not uniform throughout the world
 
00:25
This animation shows how ocean currents move clockwise around the so-called "Caribbean Hill". The red areas visible here are up to 1.4 meters higher than normal sea level. Further north, currents circle through the "Labrador Sea Valley", a large depression through which the water flows in a counter-clockwise direction (blue). Visualized on the visualization server of the German Climate Computing Centre (DKRZ) by Felicia Brisc, KlimaCampus Hamburg.
Retreat of the Arctic Ice Cover July-Sept. 2013 with pack ice limits on the 10th September
 
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-- Available in HD -- Satellite measurements show a long-term decline of Arctic sea ice. The sea ice extent is usually calculated by the area of sea ice with a coverage of more than 15 percent, indicating the position of the ice edge. Particularly dense ice fields with a high degree of coverage (about 90 percent) are referred to as pack ice. Driven by wind and currents, the ice is in constant motion. Thus, the pack ice limit is highly variable. Dense pack ice is a particular obstacle even for strong icebreakers. The limits of the pack ice, therefore, marks the practical accessibility of destinations and ship routes in the Arctic. In the animation, the pack ice limits for 2002 (green), 2007 (magenta), 2012 (yellow) and 2013 (red) are presented. The northernmost latitude reached 80.8° north in 2002, 86.26° in 2007, 87.24° in 2012 N and 88.4° in September 2013. Visualization by: Felicia Brisc, http://www.clisap.de/clisap/people/felicia_brisc More information and videos on the Climate Visualization Laboratory website: http://vis.clisap.de
Arctic Sea ice 2016 / Melt season / Minimum
 
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September Minimum 2016 // 2nd lowest ice extent in history of satellite measurements // compared with former decades Visualisation by CEN Universität Hamburg, Lars Kaleschke, Felicia Brisc, DKRZ. The help and contribution of Dr. Niklas Röber (DKRZ) to the completion of this visualization are gratefully acknowledged. More information: https://www.cen.uni-hamburg.de/en/about-cen/news/2016-09-13-arctic-sea-ice-2016.html
Currents under the sea ice
 
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In the ice-filled Arctic Ocean, the upper ocean currents are considerably weaker than in the Nordic Seas or in the North Atlantic. This animation shows the strength of the ocean currents at 100m below the surface (in color). It also shows the simultaneous ice cover over the Ocean, between January and December of 2002 (transparent area). Visualization by Felicia Brisc, CliSAP Hamburg, http://www.clisap.de/clisap/people/felicia_brisc/
Sea Surface Hight and Velocity Magnitude 100m (2002)
 
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Visualization by Felicia Brisc, CliSAP Hamburg. http://www.clisap.de/clisap/people/felicia_brisc/ More detailed information about this animation can be found here: http://www.clisap.de/research/ia:-integrated-activities/ia-5:-visualization/video-gallery/video-gallery-pages/ocean/sea-level-is-not-uniform-throughout-the-world/
Temperature on a North Atlantic and Arctic Oceans' dense isopycnal layer
 
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Temperature on the potential density surface σ3= 41.34 kg*m-3 during year 2007 from a MITgcm 4-km resolution ocean simulation.