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Article
Pefanis, V. ![]() ![]() ![]() ![]() ![]() Amplified Arctic Surface Warming and Sea Ice Loss Due to Phytoplankton and Colored Dissolved Material ,
Geophysical Research Letters,
47
,
e2020GL088795
.
doi:https://doi.org/10.1029/2020GL088795
, hdl:10013/epic.ae144aa8-a8cd-40a2-a7dc-d4008366f559
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Article
Xi, H. ![]() ![]() ![]() ![]() Global retrieval of phytoplankton functional types based on empirical orthogonal functions using CMEMS GlobColour merged products and further extension to OLCI data ,
Remote Sensing of Environment,
240
.
doi:https://doi.org/10.1016/j.rse.2020.111704
, hdl:10013/epic.bb03c121-f66d-442f-8a5c-24e9eb3577e0
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Article
Pradhan, H. K. ![]() ![]() ![]() ![]() ![]() Global Assimilation of Ocean-Color Data of Phytoplankton Functional Types: Impact of Different Data Sets ,
Journal of Geophysical Research-Oceans,
125
,
e2019JC015586
.
doi:https://doi.org/10.1029/2019JC015586
, hdl:10013/epic.c11fdbed-73c5-4101-911a-87ecc98bec3b
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Article
Soppa, M. , Pefanis, V. , Hellmann, S. , Losa, S. N. ![]() ![]() ![]() ![]() ![]() Assessing the Influence of Water Constituents on the Radiative Heating of Laptev Sea Shelf Waters. ,
Frontiers in Marine Science,
6
(221),
pp. 1-13
.
doi:https://doi.org/10.3389/fmars.2019.00221
, hdl:10013/epic.3b656c15-f326-49a6-b223-9df3498c92f3
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Article
Pradhan, H. K. ![]() ![]() ![]() ![]() ![]() Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields ,
Journal of Geophysical Research: Oceans,
124
,
pp. 470-490
.
doi:https://doi.org/10.1029/2018JC014329
, hdl:10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f
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Article
Mu, L. ![]() ![]() ![]() ![]() ![]() Improving sea ice thickness estimates by assimilating CryoSat-2 and SMOS sea ice thickness data simultaneously ,
Quarterly Journal of the Royal Meteorological Society
.
doi:https://doi.org/10.1002/qj.3225
, hdl:10013/epic.cf8e4daf-b6ff-48f0-881c-98531413857a
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Article
Liang, X. , Yang, Q. , Nerger, L. ![]() ![]() Assimilating Copernicus SST Data into a Pan-Arctic Ice–Ocean Coupled Model with a Local SEIK Filter ,
Journal of Atmospheric and Oceanic Technology,
34
(9),
pp. 1985-1999
.
doi:https://doi.org/10.1175/JTECH-D-16-0166.1
, hdl:10013/epic.31751e81-211c-40d1-90cd-0db3e075f4a3
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Article
Losa, S. N. ![]() ![]() ![]() Corrigendum: Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) ,
Frontiers in Marine Science,
4
(258),
p. 1
.
doi:https://doi.org/10.3389/fmars.2017.00258
, hdl:10013/epic.51456
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Article
Losa, S. N. ![]() ![]() ![]() Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) ,
Frontiers in Marine Science,
4
(203),
pp. 1-22
.
doi:https://doi.org/10.3389/fmars.2017.00203
, hdl:10013/epic.51338
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Article
Bracher, A. ![]() ![]() Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development. ,
Frontiers in Marine Science,
4
(55)
.
doi:https://doi.org/10.3389/fmars.2017.0005
, hdl:10013/epic.50553
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Article
Yang, Q. , Losch, M. ![]() ![]() ![]() ![]() Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation ,
The Cryosphere,
10
(2),
pp. 761-774
.
doi:https://doi.org/10.5194/tc-10-761-2016
, hdl:10013/epic.47546
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Article
Yang, Q. , Losch, M. ![]() ![]() ![]() ![]() Taking into account atmospheric uncertainty improves sequential assimilation of SMOS sea ice thickness data in an ice-ocean model ,
Journal of Atmospheric and Oceanic Technology,
33
,
pp. 397-407
.
doi:https://doi.org/10.1175/JTECH-D-15-0176.1
, hdl:10013/epic.48939
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Article
Yang, Q. , Losa, S. N. ![]() ![]() ![]() ![]() The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction ,
Quarterly Journal of the Royal Meteorological Society
.
doi:https://doi.org/10.1002/qj.2523
, hdl:10013/epic.45353
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Article
Yang, Q. , Losa, S. N. ![]() ![]() ![]() Assimilating SMOS sea ice thickness into a coupled ice-ocean model using a local SEIK filter ,
Journal of Geophysical Research-Oceans
.
doi:https://doi.org/10.1002/2014JC009963
, hdl:10013/epic.44227
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Inbook
Nerger, L. ![]() ![]() The HBM-PDAF assimilation system for operational forecasts in the North and Baltic Seas ,
Operational Oceanography for Sustainable Blue Growth. Proceedings of the Seventh EuroGOOS International Conference. 28-30 October 2014, Lisbon, Portugal / Eds. E. Buch, Y. Antoniou, D. Eparkhina, G. Nolan,
ISBN: 978-2-9601883-1-8
.
hdl:10013/epic.50593
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Conference
-Talk
Pefanis, V. , Losa, S. N. ![]() ![]() ![]() ![]() Light Induced Physical-biogeochemical Implications in the Arctic Ocean: a Coupled Sea-ice – Ocean – Ecological Modeling Study ,
Ocean Sciences Meeting 2020,
San Diego, CA, USA,
16 February 2020 - 21 February 2020
.
hdl:10013/epic.230fe1aa-8d5c-4246-aea4-8c65a9427a72
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Conference
-Talk
Pefanis, V. , Losa, S. N. ![]() ![]() ![]() ![]() Assessing bio-physical feedbacks in the Arctic Ocean under Arctic amplification ,
EGU General Assembly 2019,
Vienna, Austria,
7 April 2019 - 12 April 2019
.
hdl:10013/epic.e65fd2ba-bfc1-4238-b26c-aa580bdec9b6
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() ![]() Modeling the Arctic coloured dissolved organic matter (CDOM) and phytoplankton diversity in/with support to/from satellite retrievals ,
FAMOS Annual Meeting,
Bergen (Norway),
23 October 2018 - 26 October 2018
.
hdl:10013/epic.22a9576f-19c2-4ba2-be5b-d7bdd914a657
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() Investigating the phytoplankton diversity in the Great Calcite Belt: perspective from modelling and satellite retrievals ,
Ocean Optics Conference XXIV,
Dubrovnik (Croatia),
7 October 2018 - 12 October 2018
.
hdl:10013/epic.cd097cb0-1463-40d9-89ec-658189f36916
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Conference
-Poster
Xi, H. ![]() ![]() ![]() Global Retrieval Algorithms for Phytoplankton Functional Types (PFTs): toward the Applications to OLCI and GlobColour Merged Products ,
Ocean Optics Conference XXIV,
Dubrovnik Croatia,
7 October 2018 - 12 October 2018
.
hdl:10013/epic.e9a41e28-ef93-43bd-b20a-c613693bd5d8
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() ![]() Modeling the Arctic coloured dissolved organic matter (CDOM) and phytoplankton diversity in/with support to satellite retrievals ,
REKLIM Workshop,
Boppard (Germany),
15 May 2018 - 17 May 2018
.
hdl:10013/epic.898667d9-3f58-466c-bd8e-e6a94b43ab2e
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Conference
-Talk
Losa, S. N. ![]() ![]() ![]() The Southern Ocean phytoplankton diversity from space and numerical modelling ,
27. Internationale Polartagung,
Rostock,
25 March 2018 - 29 March 2018
.
hdl:10013/epic.f64d19e9-2018-4c03-8084-e6f52ded5577
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() Estimating the high latitude phytoplankton diversity based on multi- and hyper-spectral satellite retrievals and modeling ,
International Ocean Colour Science Meeting,
Lisbon (Portugal),
15 May 2017 - 18 May 2017
.
hdl:10013/epic.51340
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() Investigating the Arctic phytoplankton variability and diversity based on modeling and satellite retrievals ,
1st (AC)³ Science Conference,
University of Bremen, Germany,
26 March 2017 - 28 March 2017
.
hdl:10013/epic.51339
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() Investigating Antarctic PFTs based on satellite observation and modeling ,
Ocean Optics XXIII,
Victoria, BC, Canada,
23 October 2016 - 28 October 2016
.
hdl:10013/epic.48916
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Conference
-Poster
Losa, S. N. ![]() ![]() ![]() Investigating Antarctic PFTs based on satellite observation and modeling ,
Colour and Light in the Ocean from Earth Observation (CLEO) workshop,
Frascati, Italy,
6 September 2016 - 8 September 2016
.
hdl:10013/epic.48915
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Conference
-Poster
Pradhan, H. K. ![]() ![]() ![]() ![]() Assimilation of OC-CCI data for parameter estimation in the coupled ocean biogeochemical model MITgcm-REcoM ,
Colour and Light in the Ocean from Earth Observation (CLEO),
ESA Centre for Earth Observation (ESRIN), Frascati, Italy,
6 September 2016 - 8 September 2016
.
hdl:10013/epic.48619
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Conference
-Poster
Oelker, J. , Losa, S. N. ![]() ![]() Antarctic phytoplankton in response to environmental changes studied by a synergistic approach using multi- and hyper-spectral satellite data (PhySyn) ,
Koordinations-Workshop SPP 1158,
Frankfurt/Main,
30 September 2015 - 2 October 2015
.
hdl:10013/epic.46211
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Miscellaneous
Losa, S. N. ![]() ![]() SynSenPFT: ein globaler Datensatz zur Verteilung von funktionalen Gruppen von Phytoplankton im Ozean. ,
[Miscellaneous]
hdl:10013/epic.714a9d75-a1fb-4a18-b5c3-b41d6d78bab0
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