scholarly journals Remote sensing retrieval of isoprene concentrations in the Southern Ocean

2020 ◽  
Author(s):  
Pablo Rodriguez-Ros ◽  
Martí Galí ◽  
Pau Cortés ◽  
Charlotte Mary Robinson ◽  
David Antoine ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Southern Ocean

Microwave remote sensing of the Southern Ocean ice cover

1992 ◽  
pp. 243-259 ◽  
Author(s):  
Josefino C. Comiso ◽  
Thomas C. Grenfell ◽  
Manfred Lange ◽  
Alan W. Lohanick ◽  
Richard K. Moore ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Southern Ocean ◽  
Microwave Remote Sensing ◽  
Ice Cover

scholarly journals Remote Sensing Retrieval of Isoprene Concentrations in the Southern Ocean

2020 ◽  
Vol 47 (13) ◽  
Author(s):  
Pablo Rodríguez‐Ros ◽  
Martí Galí ◽  
Pau Cortés ◽  
Charlotte Mary Robinson ◽  
David Antoine ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Southern Ocean

An evaluation of kilometre scale ICON simulations of mixed-phase stratocumulus over the Southern Ocean during CAPRICORN

2021 ◽  
Author(s):  
Veeramanikandan Ramadoss ◽  
Kevin Pfannkuch ◽  
Alain Protat ◽  
Yi Huang ◽  
Steven Siems ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
Southern Ocean ◽  
Climate Models ◽  
Weather Prediction ◽  
Precipitation Amount ◽  
Mixed Phase ◽  
Atmospheric Composition ◽  
Wave Radiation ◽  
Shallow Convection

<p>Stratocumulus (Sc) clouds cover between 25% to 40% of the mid-latitude oceans, where they substantially cool the ocean surface. Many climate models poorly represent these marine boundary layer clouds in the lee of cold fronts in the Southern Ocean (SO), which yields a substantial underestimation of the reflection of short wave radiation. This results in a positive mean bias of 2K in the SO. The representation of stratocumulus clouds, cloud variability, precipitation statistics, and boundary layer dynamics within the ICON-NWP (Icosahedral Nonhydrostatic – Numerical Weather Prediction) model at the km-scale is evaluated in this study over the SO.</p><p>Real case simulations forced by ERA5 are performed with a two-way nesting strategy down to a resolution of 1.2 km. The model is evaluated using the soundings, remote sensing and in-situ observations obtained during the CAPRICORN (Clouds, Aerosols, Precipitation, Radiation, and Atmospheric Composition over the Southern Ocean) field campaign that took place during March and April 2016. During two days (26<sup>th</sup> to 27<sup>th</sup> of March 2016), open-cell stratocumuli were continuously observed by the shipborne radars and lidars between 47<sup>o</sup>S 144<sup>o</sup>E and 45<sup>o</sup>S 146<sup>o</sup>E (South of Tasmania). Our simulations are evaluated against the remote sensing retrievals using the forward simulated radar signatures from PAMTRA (Passive and Active Microwave TRAnsfer).</p><p>The initial results show that the observed variability of various cloud fields is best captured in simulations where only shallow convection is parameterised at this scale. Furthermore, ICON-NWP captures the observed intermittency of precipitation, yet the precipitation amount is overestimated. We further analyse the sensitivity of the cloud and precipitation statistics with respect to primary and secondary ice-phase processes (such as Hallett–Mossop and collisional breakup) in ICON-NWP. Both processes have previously been shown to improve ice properties of simulated shallow mixed-phase clouds over the Southern Ocean in other models. </p>

Remote sensing in Antarctica and the Southern Ocean: applications and developments

1990 ◽  
Vol 2 (2) ◽  
pp. 105-121 ◽  
Author(s):  
James A. Maslanik ◽  
Roger G. Barry
Keyword(s):  
Remote Sensing ◽  
Southern Ocean ◽  
Polar Regions ◽  
Ice Shelf ◽  
Direct Observations ◽  
Sensing Applications ◽  
Ocean Atmosphere ◽  
Remote Sensing Applications ◽  
New Instruments ◽  
Existing Data

Remote sensing provides the means to study features and processes that are not easily accessible or amenable to direct observations. The polar regions, and Antarctica in particular, offer a variety of examples where the ability to observe from afar is necessary or highly desirable. In particular, studies of ice shelf processes, changes in the sea-ice cover, and ice-ocean-atmosphere investigations must rely in large part on measurements from aircraft and satellites. The polar regions present a unique set of problems that complicate applications and limit the usefulness of certain sensors; new instruments planned for launch in the 1990s will help resolve many of these difficulties. Examples of remote sensing applications for the study of the continent, drifting ice, ocean, and atmosphere demonstrate ways that existing data as well as new observations can be used to aid polar research.

An evaluation of kilometre scale ICON simulations of mixed-phase stratocumulus over the Southern Ocean during CAPRICORN

2021 ◽  
Author(s):  
Veeramanikandan Ramadoss ◽  
Kevin Pfannkuch ◽  
Alain Protat ◽  
Yi Huang ◽  
Steven Siems ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
Southern Ocean ◽  
Climate Models ◽  
Weather Prediction ◽  
Precipitation Amount ◽  
Mixed Phase ◽  
Atmospheric Composition ◽  
Wave Radiation ◽  
Shallow Convection

<p>Stratocumulus (Sc) clouds cover between 25% to 40% of the mid-latitude oceans, where they substantially cool the ocean surface. Many climate models poorly represent these marine boundary layer clouds in the lee of cold fronts in the Southern Ocean (SO), which yields a substantial underestimation of the reflection of short-wave radiation. This results in a positive mean bias of 2 K in the SO. The representation of stratocumulus clouds, cloud variability, precipitation statistics, and boundary layer dynamics within the ICON-NWP (Icosahedral Nonhydrostatic – Numerical Weather Prediction) model at the km-scale is evaluated in this study over the SO.</p> <p><br />Real case simulations forced by ERA5 are performed with a two-way nesting strategy down to a resolution of 1.2 km. The model is evaluated using the soundings, remote sensing and in-situ observations obtained during the CAPRICORN (Clouds, Aerosols, Precipitation, Radiation, and Atmospheric Composition over the Southern Ocean) field campaign that took place during March and April 2016. During two days (26 and 27 March 2016), open-cell stratocumuli were continuously observed by the shipborne radars and lidars between 47<sup>o</sup>S 144<sup>o</sup>E and 45<sup>o</sup>S 146<sup>o</sup>E (South of Tasmania). Our simulations are evaluated against the remote sensing retrievals using the forward simulated radar signatures from PAMTRA (Passive and Active Microwave TRAnsfer).</p> <p><br />The initial results show that the observed variability of various cloud fields is best captured in simulations where only shallow convection is parameterised at this scale. Furthermore, ICON-NWP captures the observed intermittency of precipitation, yet the precipitation amount is overestimated. We further analyse the sensitivity of the cloud and precipitation statistics with respect to primary and secondary ice-phase processes (such as Hallett–Mossop and collisional breakup) in ICON-NWP. Both processes have previously been shown to improve ice properties of simulated shallow mixed-phase clouds over the Southern Ocean in other models.</p>

Remote sensing of Southern Ocean sea surface temperature: implications for marine biophysical models

2003 ◽  
Vol 84 (2) ◽  
pp. 161-173 ◽  
Author(s):  
Michael D Sumner ◽  
Kelvin J Michael ◽  
Corey J.A Bradshaw ◽  
Mark A Hindell
Keyword(s):  
Remote Sensing ◽  
Southern Ocean ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Biophysical Models

scholarly journals Emissions from potential Patagonian dust sources and associated biological response in the Atlantic sector of the Southern Ocean

2014 ◽  
Vol 11 (7) ◽  
pp. 11671-11699 ◽  
Author(s):  
A. Castagna ◽  
H. Evangelista ◽  
L. G. Tilstra ◽  
R. Kerr
Keyword(s):  
Remote Sensing ◽  
Southern Ocean ◽  
Vegetation Index ◽  
Chlorophyll Concentration ◽  
Biological Response ◽  
Late Summer ◽  
Polar Front ◽  
Mode Water ◽  
Atlantic Sector ◽  
Positive Correlation

Abstract. The effect of Patagonian dust over primary producers in the Southern Ocean has long been disputed. Here we present new remote sensing evidence in favour of dust mediated biological response and postulate a hypothesis to explain the spatial relation observed. A new remote sensing definition of dust source areas based on the Normalized Difference Vegetation Index (NDVI) and Absorbing Aerosol Index (AAI) correlation is presented and interannual variation in AAI is evaluated within the source regions as a proxy for dust activity. Correlation of this data with annual chlorophyll concentration, phytoplankton biomass, and diatom dominance reveals a spatially coherent latitudinal band of positive correlation concentrated between the Polar Front and the Subtropical Front. This pattern is restricted to western areas in the biomass correlation and extends toward Africa for the chlorophyll and diatom correlation. This region is equivalent to the area of the Subantarctic Mode Water formation, characterized by a ratio Si : N ≪ 1 in late summer, an unfavourable condition for diatom development, especially under iron limitation. Therefore, due to Si–Fe co-limitation, the positive correlation could be the consequence of an enhanced sensibility of this area to external iron addition for diatom growth. For the Argentinean shelf-break, is not clear whether direct dust input and/or wind stress driving water masses upwelling could be responsible for the positive correlation.

A phytoplankton absorption-based primary productivity model for remote sensing in the Southern Ocean

Polar Biology ◽  
2011 ◽  
Vol 34 (2) ◽  
pp. 291-302 ◽  
Author(s):  
Toru Hirawake ◽  
Shintaro Takao ◽  
Naho Horimoto ◽  
Takashi Ishimaru ◽  
Yukuya Yamaguchi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Southern Ocean ◽  
Primary Productivity ◽  
Phytoplankton Absorption
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