Alexandre Supply

ORCID: 0000-0002-0058-6027
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Arctic and Antarctic ice dynamics
  • Oceanographic and Atmospheric Processes
  • Soil Moisture and Remote Sensing
  • Climate change and permafrost
  • Methane Hydrates and Related Phenomena
  • Cryospheric studies and observations
  • Ocean Waves and Remote Sensing
  • Precipitation Measurement and Analysis
  • Underwater Acoustics Research
  • Marine and coastal ecosystems
  • Geological and Geophysical Studies
  • Geophysics and Gravity Measurements
  • Marine and fisheries research
  • Oil Spill Detection and Mitigation
  • Radio Wave Propagation Studies
  • Climate variability and models
  • Geological Studies and Exploration
  • Aerospace Engineering and Energy Systems
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics
  • Tropical and Extratropical Cyclones Research

Laboratory for Ocean Physics and Satellite Remote Sensing
2021-2023

Institut Universitaire Européen de la Mer
2021-2023

Océanopolis
2023

Institut de Recherche pour le Développement
2017-2022

Centre National de la Recherche Scientifique
2017-2022

Ifremer
2021-2022

Centre National d'Études Spatiales
2022

Sorbonne Université
2017-2021

Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques
2017-2021

Université de Bretagne Occidentale
2021

Abstract Sea Surface Salinity (SSS) is an increasingly used Essential Ocean and Climate Variable. The Soil Moisture (SMOS), Aquarius, Active Passive (SMAP) satellite missions all provide SSS measurements, with very different instrumental features leading to specific measurement characteristics. Change Initiative project (CCI + SSS) aims produce a Data Record (CDR) that addresses well‐established user needs based on those measurements. To generate homogeneous CDR, differences are carefully...

10.1029/2021jc017676 article EN Journal of Geophysical Research Oceans 2021-11-01

Earlier studies have pointed out systematic differences between sea surface salinity retrieved from L-band radiometric measurements and measured in situ, which depend on temperature (SST). We investigate how to cope with these given existing physically based radiative transfer models. In order study coming seawater dielectric constant parametrization, we consider the model of Somaraju Trumpf (2006) (ST) is built sound physical bases close a single relaxation term Debye equation. While ST...

10.1109/tgrs.2020.3030488 article EN IEEE Transactions on Geoscience and Remote Sensing 2020-11-04

Abstract. Variability of surface water masses the Laptev and East Siberian seas in August–September 2018 is studied using situ satellite data. In data were collected during ARKTIKA-2018 expedition then complemented with satellite-derived sea temperature (SST), salinity (SSS), height, wind speed, ice concentration. The estimation SSS fields challenging high-latitude regions, precision soil moisture ocean (SMOS) retrieval improved by applying a threshold on weekly error. For first time this...

10.5194/os-17-221-2021 article EN cc-by Ocean science 2021-02-04

Two L‐Band (1.4 GHz) microwave radiometer missions, Soil Moisture and Ocean Salinity (SMOS) Active Passive (SMAP) currently provide sea‐surface salinity (SSS) measurements. At this frequency, is measured in the first centimetre below sea surface, which makes it very sensitive to presence of fresh water lenses linked rain events. A relationship between anomaly (ΔS) rate (RR) derived Pacific intertropical convergence zone from SMOS SSS measurements Special Sensor Microwave Imager/Sounder...

10.1002/qj.3110 article EN Quarterly Journal of the Royal Meteorological Society 2017-07-05

Abstract Ten years of L-band radiometric measurements have proven the capability satellite sea surface salinity (SSS) to resolve large-scale-to-mesoscale SSS features in tropical subtropical ocean. In mid-to-high latitudes, still suffer from large-scale and time-varying errors. Here, a simple method is proposed mitigate First, an optimal interpolation using large correlation scale (~500 km) used map independently Soil Moisture Ocean Salinity (SMOS) Active Passive (SMAP) level-3 (L3) data....

10.1175/jtech-d-20-0093.1 article EN Journal of Atmospheric and Oceanic Technology 2020-12-18

Earth and Space Science Open Archive This work has been accepted for publication in Journal of Geophysical Research - Oceans. Version RecordESSOAr is a venue early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v2]Satellite-based Sea Surface Salinity designed Ocean Climate StudiesAuthorsJacquelineBoutiniDNicolasReulJuliaKöhleriDAdrien...

10.1002/essoar.10507337.2 preprint EN cc-by 2021-09-16

Abstract We investigate the Chukchi and Beaufort seas in Arctic Ocean, where salty warm Pacific Water flows through Bering Strait interacts with sea ice, contributing to its summer melt. Thanks situ measurements recorded by two saildrones deployed during 2019 refined ice filtering satellite L‐band radiometric data, we demonstrate ability of surface salinity (SSS) observed Soil Moisture Ocean Salinity Active Passive capture SSS freshening induced refer these events as meltwater lenses (MWL)....

10.1029/2021jc018388 article EN cc-by Journal of Geophysical Research Oceans 2022-11-24

Abstract During the second Salinity Processes in Upper Ocean Regional Study (SPURS‐2) 2017 tropical Pacific cruise, two drifters were deployed on 9 November. The measured temperature and salinity top 36 cm, wave spectra, noise of rain drops. a short nearly circular survey with 1.8‐km radius around drifters, R/V Revelle air‐sea fluxes, as well stratification 1 m from towed surface profiler (SSP). A C‐band weather radar measuring rate within 1‐ to 100‐km range ship observed discrete cells...

10.1029/2019jc015558 article EN publisher-specific-oa Journal of Geophysical Research Oceans 2020-02-01

The processes driving the seasonal variability of mixed layer salinity in Arctic Ocean are investigated using a simulation performed with regional ocean – sea ice model at high resolution. While variations depth remain small, particular under perennial (O(30m)), mean varies largely, cycle as 3 pss. On shelves, where is seasonal, much fresher but exhibits similar amplitude. Overall, results largely from 1D vertical balance between freshwater flux surface arising melt and freezing processes,...

10.22541/essoar.169091878.83796479/v1 preprint EN Authorea (Authorea) 2023-08-01

published or not.The documents may come from teaching and research institutions in France abroad, public private centers.L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de scientifiques niveau recherche, publiés ou non, émanant des établissements d'enseignement recherche français étrangers, laboratoires publics privés.

10.1109/igarss46834.2022.9883205 article FR IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2022-07-17

Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Journal of Geophysical Research - Oceans. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing an older version [v1]Go new versionSatellite-based Time-Series Sea Surface Salinity designed Ocean Climate StudiesAuthorsJacquelineBoutiniDNicolasReulJuliaKöhleriDAdrien...

10.1002/essoar.10507337.1 preprint EN cc-by 2021-06-21

Abstract. Variability of surface water masses the Laptev and East-Siberian seas in August–September 2018 is studied using situ satellite data. In data was collected during ARKTIKA-2018 expedition then completed with estimates sea temperature (SST) salinity (SSS), height, satellite-derived wind speeds ice concentrations. Derivation SSS still challenging high latitude regions, quality Soil Moisture Ocean Salinity (SMOS) retrieval improved by applying a threshold on weekly error. The validity...

10.5194/os-2019-60 article EN cc-by 2019-07-31

This paper provides an overview of the Dragon 4 project dealing with operational monitoring sea ice and surface salinity (SSS) new product developments for altimetry data. To improve thickness retrieval, a method was developed to match Cryosat-2 radar waveform. Additionally, automated drift detection scheme tested on Sentinel-1 data, drifty capability Gaofen-4 geostationary optical data evaluated. A second topic included implementation validation prototype Fully-Focussed SAR processor...

10.3390/rs13142847 article EN cc-by Remote Sensing 2021-07-20

Recent applications of passive L-band observations from space are summarized for ocean, land surface and cryosphere applications. The main limitation the measurements performed by current generation sensors is spatial resolution. need a mission ensuring continuation with high resolution (10-15 km) discussed.

10.1109/igarss52108.2023.10283415 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2023-07-16

<p>Temperature and Salinity at the ocean interface can be substantially different than their bulk values in mixed layer 5-10 meters depth. The main phenomena that account for these differences are (i) interfacial millimeter scale diffusive microlayer usually cooler saltier below due to surface fluxes (ii) diurnal warm layers of few tens centimeters form under weak wind condition solar absorption. Although characterized by small vertical scales, tightly wind-related corresponds...

10.5194/egusphere-egu2020-18373 article EN 2020-03-10
Coming Soon ...