Workshop on Improved satellite retrievals of sea-ice concentration and sea-ice thickness for climate applications

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Workshop on Improved satellite retrievals of sea-ice concentration and sea-ice thickness for climate applications

Stefan Kern-2
Dear colleague from the sea-ice community,

we invite you to a

Workshop on Improved satellite retrievals of
sea-ice concentration and sea-ice thickness for climate applications

from 9-11 October 2017

in Hamburg, Germany.


This workshop is jointly organized by the Integrated Climate Data Center
(ICDC), University of Hamburg, and the Max-Planck Institute for
Meteorology (MPI-M), Hamburg, aiming at both experts for sea-ice remote
sensing and sea-ice modelling. See below for further details.

This is a pre-announcement. The call for workshop contributions is
planned to be submitted in April.

We might be able to provide financial support to the travel and
accommodation costs of some workshop participants. We cannot give any
definite statement at the current stage of planning, though. Please get
in touch if you require further details at this point in time.

Contact:
Stefan Kern
Integrated Climate Data Center (ICDC), University of Hamburg
[hidden email]

Dirk Notz
Max-Planck Institute for Meteorology (MPI-M), Hamburg
[hidden email]


Scope of the workshop:
New sensors and new algorithms have over the past few years allowed for
sometimes significant progress in our ability to estimate sea-ice
concentration and sea-ice thickness from space. In addition to existing
sensors such as CryoSat-2, SMOS, AMSR2 and ASCAT, the launch of new
sensors such as ICESat-2 and additional Sentinels will further widen our
capabilities to ever more accurately measure the state of sea ice from
satellites.

We invite experts both for remote sensing and for large-scale modeling
to discuss and outline the most promising opportunities and best
practices in the use of existing and future satellite sensors for the
remote sensing of sea-ice concentration and thickness, and the use of
such data in large-scale modeling applications.


Tentative agenda:
Day 1 - afternoon: Understanding each other
-    An introduction to current practices in using and simulating
sea-ice concentration and thickness in large-scale models
-    An introduction to current practices in the retrieval of sea-ice
concentration and thickness from remote sensing observations

Day 2 - morning: Understanding and reducing errors
-    Limitations and possibilities in remote sensing and modeling
-    Sensitivities
-    Setting and understanding of priorities in retrieval and modeling
-    Optimization of approaches,  improvement of products, reduction of
product uncertainties

Day 2 - afternoon: Quantification of uncertainties and product evaluation
-    General differences between retrieval and modeling
-    How are uncertainties derived?
-    How reliable / valid are these?
-    What are the current best practices to evaluate products and their
uncertainties? What can be improved?
-    Who takes which information out of which source? What are the user
groups for uncertainties and validation results?

Day 3 - morning: Harvesting the fruit: The scope of final products
-    Summary of the previous days' results
-    Parameters to be included in product of sea-ice concentration and
sea-ice thickness: must have / valuable add-on / nice-to-have / irrelevant
-    Review of current products
-    Recommendations for future products (taking into account foreseen
technical progress)
-    Planning for a possible joint paper/workshop report

-- 
HAVE AN ICE DAY

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 Dr. Stefan Kern                     SEA ICE <> SNOW <> REMOTE SENSING

 Integrated Climate Data Center - ICDC
 Center for Earth System Research and Sustainability
 Universität Hamburg
 Grindelberg 5
 20144 Hamburg

 Tel: +49 (0) 40 42838 2415
 Fax: +49 (0) 40 42838 7712
 mobil: +49 (0) 174 9310955

 http://icdc.cen.uni-hamburg.de
 http://www.clisap.de/clisap/people/stefan_kern/
 www.cen.uni-hamburg.de

The Cluster of Excellence "Integrated Climate System Analysis and
Prediction" (CliSAP) is a joint effort of Universität Hamburg and
its partners, supported by the German Research Foundation. CliSAP is
the nucleus of the Center for Earth System Research and Sustainability
(CEN). The CEN combines expertise from the natural and social sciences
and unites nine institutes and research centers at Universität Hamburg.
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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