Daniela Flocco

Dr. Daniela Flocco

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 April 2014 in Nature Climate Change
Verified
Journal Article
Closed access
DSDavid Schröder
David Schröder
DFDaniel L. Feltham
Daniel L. Feltham
DFDaniela Flocco
Daniela Flocco
Michel TsamadosMichel Tsamados
Michel Tsamados

24 April 2014 in Journal of Physical Oceanography
Verified
Journal Article
Closed access
Michel TsamadosMichel Tsamados
Michel Tsamados
DFDaniel L. Feltham
Daniel L. Feltham
DSDavid Schroeder
David Schroeder
DFDaniela Flocco
Daniela Flocco
SFSinead L. Farrell
Sinead L. Farrell
SBSheldon Bacon
Sheldon Bacon
Over Arctic sea ice, pressure ridges and floe and melt pond edges all introduce discrete obstructions to the flow of air or water past the ice and are a source of form drag. In current climate models form drag is only accounted for by tuning the air–ice and ice–ocean drag coefficients, that is, by effectively altering the roughness length in a surface drag parameterization. The existing approach of the skin drag parameter tuning is poorly constrained by observations and fails to describe correctly the physics associated with the air–ice and ocean–ice drag. Here, the authors combine recent theoretical developments to deduce the total neutral form drag coefficients from properties of the ice cover such as ice concentration, vertical extent and area of the ridges, freeboard and floe draft, and the size of floes and melt ponds. The drag coefficients are incorporated into the Los Alamos Sea Ice Model (CICE) and show the influence of the new drag parameterization on the motion and state of the ice cover, with the most noticeable being a depletion of sea ice over the west boundary of the Arctic Ocean and over the Beaufort Sea. The new parameterization allows the drag coefficients to be coupled to the sea ice state and therefore to evolve spatially and temporally. It is found that the range of values predicted for the drag coefficients agree with the range of values measured in several regions of the Arctic. Finally, the implications of the new form drag formulation for the spinup or spindown of the Arctic Ocean are discussed.

3 March 2017 in Science Advances
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Journal Article
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CHChristopher Horvat
Christopher Horvat
DJDavid Rees Jones
David Rees Jones
SISarah Iams
Sarah Iams
DSDavid Schroeder
David Schroeder
DFDaniela Flocco
Daniela Flocco
DFDaniel Feltham
Daniel Feltham
Recent thinning and ponding of Arctic sea ice may have led to frequent, extensive phytoplankton blooms under sea ice.

27 September 2012 in Journal of Geophysical Research: Oceans
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Journal Article
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DFDaniela Flocco
Daniela Flocco
DSDavid Schroeder
David Schroeder
DFDaniel L. Feltham
Daniel L. Feltham
EHElizabeth C. Hunke
Elizabeth C. Hunke

10 August 2010 in Journal of Geophysical Research: Oceans
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Journal Article
Closed access
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DFDaniela Flocco
Daniela Flocco
DFDaniel L. Feltham
Daniel L. Feltham
ATAdrian K. Turner
Adrian K. Turner

13 October 2015 in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Journal Article
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Michel TsamadosMichel Tsamados
Michel Tsamados
DFDaniel Feltham
Daniel Feltham
APAlek Petty
Alek Petty
DSDavid Schroeder
David Schroeder
DFDaniela Flocco
Daniela Flocco
We present a modelling study of processes controlling the summer melt of the Arctic sea ice cover. We perform a sensitivity study and focus our interest on the thermodynamics at the ice–atmosphere and ice–ocean interfaces. We use the Los Alamos community sea ice model CICE, and additionally implement and test three new parametrization schemes: (i) a prognostic mixed layer; (ii) a three equation boundary condition for the salt and heat flux at the ice–ocean interface; and (iii) a new lateral melt parametrization. Recent additions to the CICE model are also tested, including explicit melt ponds, a form drag parametrization and a halodynamic brine drainage scheme. The various sea ice parametrizations tested in this sensitivity study introduce a wide spread in the simulated sea ice characteristics. For each simulation, the total melt is decomposed into its surface, bottom and lateral melt components to assess the processes driving melt and how this varies regionally and temporally. Because this study quantifies the relative importance of several processes in driving the summer melt of sea ice, this work can serve as a guide for future research priorities.