Internal seminar

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Bi-weekly Tuesday NERSC Internal seminars

Tutorials on data assimilation

Speaker: 
Patrick N. Raanes
Affiliation: 
NORCE / NERSC
Seminar Date: 
7. May 2018 - 10:00 - 12:00

NERSC is a world leader in data assimilation (DA) using the ensemble Kalman filter (EnKF). As a "farewell" seminar, Patrick N. Raanes will give some tutorials on the subject. The tutorials (i) provide a hands-on introduction; (ii) use Python, but are accessible for Matlab users; (iii) have already been used for two (and counting) short courses given at NERSC; (iv) have been developed alongside the underlying DA package (DAPPER), in part with internal, basic funding.

Note: Bring your laptops! (fear not: we'll not install anything)

Evolutions of the Arctic MFC in an evolving CMEMS 2018-2021.

Speaker: 
L. Bertino
Affiliation: 
NERSC
Seminar Date: 
20. March 2018 - 11:15 - 12:00

The Copernicus Marine Services (CMEMS) have kicked off their second phase for the period Jan-2018 to Mar-2021. The Arctic MFC, like other elements of CMEMS, has ambitious plans for modeling, assimilation of new Copernicus observations for forecasts and reanalyses and data dissemination. This presentation aims at keeping you updated with the main changes and discuss how NERSC can make the best out of the Copernicus programme.

Seasonal to decadal prediction skill in "our" region of Norwegian Climate Prediction model

Speaker: 
Climate Dynamics and Prediction (Yiguo Wang)
Seminar Date: 
6. March 2018 - 11:15 - 11:45

Recently it has been demonstrated that the slow fluctuations of the climate can be predicted up to a decade in advance in region such as in the North Atlantic. Prediction of near-term climate changes is of great interest to stakeholders e.g., fisheries, energy, shipping, farming, and insurance sectors. The Bjerknes Centre has developed climate prediction capability (the Norwegian Climate Prediction Model, NorCPM) that makes use of existing observations to control the internal variability of the climate that drives these slow fluctuations.

Automatic iceberg detection in the Barents Sea using SAR and optical images

Speaker: 
Ocean and Sea Ice Remote Sensing (Ingri Halland Soldal)
Seminar Date: 
20. February 2018 - 11:15 - 11:45

Icebergs can be a threat to maritime operations which makes it important to monitor their existence and position. Most methods for automatic iceberg detection are applied to icebergs much larger than the typical size one can find in the Barents Sea, and they are therefore not applicable to this area.

The introduction of VMware - An overview of server virtualization at NERSC

Speaker: 
IT-group (Morten Stette)
Seminar Date: 
6. February 2018 - 11:15 - 11:45

The Role of Simulated Small-Scale Ocean Variability in Inverse Computations for Ocean Acoustic Tomography

Speaker: 
Polar Acoustics and Oceanography (Brian Dushaw)
Seminar Date: 
23. January 2018 - 11:15 - 11:45

Ocean acoustic tomography depends on a suitable reference ocean environment with which to set the basic parameters of the inverse problem. Some inverse problems may require a reference ocean that includes the small-scale variations from internal waves, small mesoscale, or spice. Tomographic inversions that employ data of stable shadow zone arrivals, such as those that have been observed in the North Pacific and Canary Basin, are an example. Estimating temperature from the unique acoustic data that have been obtained in Fram Strait is another example.

Development of the operational oceanography system for fishery management and its application in the Central North Pacific Ocean

Speaker: 
Ocean Modeling (Tsuyoshi Wakamatsu)
Seminar Date: 
9. January 2018 - 11:15 - 11:45

The central North Pacific region centred on the international date line and 40N is known to be one of the richest fishing ground of neon flying squid in the North Pacific Ocean. We developed regional ocean environment analysis system, Scalable Kit of Under-sea Information Delivery system (SKUIDs) for providing potential fishing ground information to fishing operators for achieving quasi-operational habitat monitoring/management and economical optimization of fishing operation at this site.

AIS data, Processing and analysis for navigation

Speaker: 
Ocean and Sea Ice Remote Sensing (Mohamed Babiker)
Seminar Date: 
12. December 2017 - 11:15 - 11:45

In several expeditions, SAR images were transferred to icebreakers and ships travelling in the Arctic. The results of this work, which have demonstrated the benefits of using satellite data to support Arctic shipping, have been published in several papers and a book [Johannessen et al, 2000, 2007]. In the last decade, a large number of SAR images from ENVISAT and RADARSAT-2 have been collected and analysed by scientists, showing SAR images can be used to classify ice types, estimate ice concentration and detect icebergs and other dangerous ice phenomena [e.g.

INTAROS: Integrated Arctic Observing System – WP4: Enhance community-based observing.

Speaker: 
Polar Acoustics and Oceanography (Lisbeth Iversen)
Seminar Date: 
1. December 2017 - 11:15 - 11:45

The overall objective in the INTAROS WP 4 is to enhance community-based observing for participatory research and capacity-building. There are several specific objectives in this workpackage. Task 1 will survey and analyze existing community-based observing programs, building on Report of SAON Task 9, in order to identify capabilities, ’best’ practices, and challenges in current Community-Based Monitoring Programs in the Arctic. Task 2 will advance tools for cross-fertilizing indigenous and local knowledge with scientific knowledge, and make examples of Arctic CBM manuals broadly available.

On the statistical properties of sea ice lead fraction and heat fluxes in Arctic

Speaker: 
Sea Ice Modelling (Einar Olason)
Seminar Date: 
17. October 2017 - 11:15 - 11:45

Heat flux through leads and polynyas is an order of magnitude larger than that through unbroken ice. In this presentation we explore some statistical properties observed in Arctic sea ice lead fraction, showing that our model (neXtSIM) does a good job at reproducing the observed statistics. Given the importance of heat flux through leads we then use the model to explore the statistical properties of the modelled heat fluxes. We show that the model reproduces well the probability density function (PDF) and the mono-fractal spatial scaling of observed lead fluxes in the Central Arctic.

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