Effect of inelastic scattering on underwater daylight in the ocean: model evaluation, validation, and first results

2003 ◽  
Vol 42 (21) ◽  
pp. 4244 ◽  
Author(s):  
Marc Schroeder ◽  
Hans Barth ◽  
Rainer Reuter
1999 ◽  
Author(s):  
Dale B. Haidvogel ◽  
Kate Hedstrom

2021 ◽  
Author(s):  
Moritz Kreuzer ◽  
Ronja Reese ◽  
Willem Huiskamp ◽  
Stefan Petri ◽  
Torsten Albrecht ◽  
...  

<p>The past and future evolution of the Antarctic Ice Sheet is largely controlled by interactions between the ocean and floating ice shelves. To investigate these interactions, coupled ocean and ice sheet model configurations are required. Previous modelling studies have mostly relied on high resolution configurations, limiting these studies to individual glaciers or regions over short time scales of decades to a few centuries. To study global and long term interactions, we developed a framework to couple the dynamic ice sheet model PISM with the global ocean general circulation model MOM5 via the ice-shelf cavity module PICO. Since ice-shelf cavities are not resolved by MOM5, but parameterized with the box model PICO, the framework allows the ice sheet and ocean model to be run at resolution of 16 km and 3 degrees, respectively. We present first results from our coupled setup and discuss stability, feedbacks, and interactions of the Antarctic Ice Sheet and the global ocean system on millennial time scales.</p>


2008 ◽  
Vol 187 (1-3) ◽  
pp. 35-41 ◽  
Author(s):  
S. Rajagopalan ◽  
T. Asthalter ◽  
V. Rabe ◽  
U. van Bürck ◽  
F. E. Wagner ◽  
...  

2009 ◽  
Vol 192 (1-3) ◽  
pp. 125-126 ◽  
Author(s):  
S. Rajagopalan ◽  
T. Asthalter ◽  
V. Rabe ◽  
U. van Bürck ◽  
F. E. Wagner ◽  
...  

2014 ◽  
Vol 27 (16) ◽  
pp. 6189-6203 ◽  
Author(s):  
Shannon Mason ◽  
Christian Jakob ◽  
Alain Protat ◽  
Julien Delanoë

Abstract Clouds strongly affect the absorption and reflection of shortwave and longwave radiation in the atmosphere. A key bias in climate models is related to excess absorbed shortwave radiation in the high-latitude Southern Ocean. Model evaluation studies attribute these biases in part to midtopped clouds, and observations confirm significant midtopped clouds in the zone of interest. However, it is not yet clear what cloud properties can be attributed to the deficit in modeled clouds. Present approaches using observed cloud regimes do not sufficiently differentiate between potentially distinct types of midtopped clouds and their meteorological contexts. This study presents a refined set of midtopped cloud subregimes for the high-latitude Southern Ocean, which are distinct in their dynamical and thermodynamic background states. Active satellite observations from CloudSat and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) are used to study the macrophysical structure and microphysical properties of the new cloud regimes. The subgrid-scale variability of cloud structure and microphysics is quantified within the cloud regimes by identifying representative physical cloud profiles at high resolution from the radar–lidar (DARDAR) cloud classification mask. The midtopped cloud subregimes distinguish between stratiform clouds under a high inversion and moderate subsidence; an optically thin cold-air advection cloud regime occurring under weak subsidence and including altostratus over low clouds; optically thick clouds with frequent deep structures under weak ascent and warm midlevel anomalies; and a midlevel convective cloud regime associated with strong ascent and warm advection. The new midtopped cloud regimes for the high-latitude Southern Ocean will provide a refined tool for model evaluation and the attribution of shortwave radiation biases to distinct cloud processes and properties.


2020 ◽  
Author(s):  
Patricia Handmann ◽  
Martin Visbeck ◽  
Arne Biastoch

<p>Water mass formation in the Subpolar North Atlantic and successive southward export, connects high latitudes with lower latitudes, as a part of the lower Atlantic meridional overturning (AMOC) limb. The role of regional importance, in particular the respective roles of the Labrador and Irminger Sea, in this process are in debate. </p><p>This study analyses pathways connecting the Labrador and Irminger Sea in detail, using simulated Lagrangian particle trajectories. To give further insight on interconnectivity and flow patterns we used two setups with different velocity fields, a high-resolution ocean model (VIKING20X) and a gridded Argo float displacement climatology. Both setups indicate two distinct pathways with interconnectivity on the order of 20% of the total amount of seeded particles between the Labrador Sea and Irminger Sea. One pathway is following the recirculation in the Labrador Sea along the Greenland shelf break; the other is along the Newfoundland shelf break turning to the north/northwest at the Orphan-Knoll region towards the central Irminger Sea. For the Argo based advective-diffusive particle trajectory integration a 2.5–3.5 year travel time scale was derived between the Labrador and the Irminger Sea, while the experiments with the temporarily varying high-resolution model output revealed significantly shorter spreading times of about 1.5–2 years. While both pathways are represented in either setup, the pathway following the Newfoundland shelf break is populated stronger in the model-based experiments. In general we found that connectivity between the two regions is weaker in the experiments based on the climatological mean velocity output of the model than in those based on the Argo derived fields, first results indicate that this is due to stronger boundary currents and a weaker recirculation in the Labrador Sea.</p>


2020 ◽  
Author(s):  
Simon Wett ◽  
Monika Rhein ◽  
Arne Biastoch ◽  
Claus W. Böning ◽  
Klaus Getzlaff

<p>The Atlantic Meridional Overturning Circulation (AMOC) is the main driver of northward oceanic volume and heat transport in the Atlantic. Due to its definition via the streamfunction the exact calculation of the AMOC requires knowledge of the full velocity field. Since the early 2000s, observations of the AMOC are available at 47° North in the form of hydrographic sections across the Atlantic and continuous current measurements from moored instruments at specific locations. However, the spatial resolution of current measurements is coarse and shipbased hydrographic sections are mostly done only once a year. Also the observational timeseries still remain too short to come to conclusions about decadal trends in the AMOC variability. Thus, today our knowledge about the role of the AMOC in the global climate system is mainly based on model simulations. Comparing these model simulations against observations remains an important task to accurately predict the future of the AMOC and adapt to changes.</p><p>We present first results of a model observations comparison in the subpolar North Atlantic between observations at 47° North and the high resolution ocean model VIKING20X. The model has a 1/20° nest in the Atlantic embedded in a global 1/4° model. It covers the years from 1980 to 2018 and thus overlaps with the whole observational period. This comparison will help assessing different methods of estimating the AMOC strength from observations.</p>


2015 ◽  
Vol 309 (1) ◽  
pp. 149-154 ◽  
Author(s):  
M. Rossbach ◽  
T. Randriamalala ◽  
E. Mauerhofer ◽  
Zs. Revay ◽  
S. Söllradl

Author(s):  
Rostislav Yu. Fadeev ◽  
Konstantin V. Ushakov ◽  
Vladimir V. Kalmykov ◽  
Mikhail A. Tolstykh ◽  
Rashit A. Ibrayev

AbstractCoupled atmosphere–ocean models are widely used for climate change modelling. However, there is now more and more evidence on necessity to use such models in numerical weather prediction at different time scales. A coupled model is developed at the Institute of Numerical Mathematics, Shirshov Institute of Oceanology (Russian Academy of Sciences), and Hydrometeorological Research Centre of Russia. Particularities of program implementation for this model are discussed. The atmosphere model SLAV and the World Ocean model INMIO are coupled using the original program for models coupling. The results of numerical experiments with the coupled model demonstrate an agreement with observation data and show a possibility to use this model for probabilistic weather forecasts at time scales from weeks to year.


Sign in / Sign up

Export Citation Format

Share Document