References of "Beckers, Jean-Marie"
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See detailPlankton Data Products
Barth, Alexander ULiege; Beauchard, Olivier; Herman, Peter et al

Conference (2019, May 15)

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See detailOnline DIVAnd Recent progress \& hurdles
Barth, Alexander ULiege; Beckers, Jean-Marie ULiege; Troupin, Charles ULiege

Conference (2019, May 10)

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See detailDIVA & DIVAnd interpolation tools: All you need to know about them
Troupin, Charles ULiege; Barth, Alexander ULiege; Watelet, Sylvain ULiege et al

Conference (2019, April 11)

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See detailFrom in situ observations to gridded fields using DIVAnd and the cloud
Troupin, Charles ULiege; Barth, Alexander ULiege; Watelet, Sylvain ULiege et al

Conference (2019, April 09)

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See detailEvaluation of HF Radar Blending
Subekti Mujiasih, ULiege; Hartanto, Dwi; Barth, Alexander ULiege et al

Conference (2018, December 07)

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See detailGenerating ocean climatologies from in situ observations
Barth, Alexander ULiege; Troupin, Charles ULiege; Watelet, Sylvain ULiege et al

in IMDIS 2018 International Conference on Marine Data and Information Systems, Book of Abstracts (2018, November 07)

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See detailMediterranean Sea climatic indices: Monitoring long-term variability and climate changes
Iona, A.; Theodorou, A.; Sofianos, S. et al

in Earth System Science Data (2018), 10(4), 1829-1842

We present a new product composed of a set of thermohaline climatic indices from 1950 to 2015 for the Mediterranean Sea such as decadal temperature and salinity anomalies, their mean values over selected ... [more ▼]

We present a new product composed of a set of thermohaline climatic indices from 1950 to 2015 for the Mediterranean Sea such as decadal temperature and salinity anomalies, their mean values over selected depths, decadal ocean heat and salt content anomalies at selected depth layers as well as their long time series. It is produced from a new high-resolution climatology of temperature and salinity on a 1=8 regular grid based on historical high-quality in situ observations. Ocean heat and salt content differences between 1980-2015 and 1950-1979 are compared for evaluation of the climate shift in the Mediterranean Sea. The two successive periods are chosen according to the standard WMO climate normals. The spatial patterns of heat and salt content shifts demonstrate that the climate changes differently in the several regions of the basin. Long time series of heat and salt content for the period 1950 to 2015 are also provided which indicate that in the Mediterranean Sea there is a net mean volume warming and salinification since 1950 that has accelerated during the last two decades. The time series also show that the ocean heat content seems to fluctuate on a cycle of about 40 years and seems to follow the Atlantic Multidecadal Oscillation climate cycle, indicating that the natural large-scale atmospheric variability could be superimposed onto the warming trend. This product is an observation-based estimation of the Mediterranean climatic indices. It relies solely on spatially interpolated data produced from in situ observations averaged over decades in order to smooth the decadal variability and reveal the long-term trends. It can provide a valuable contribution to the modellers' community, next to the satellite-based products, and serve as a baseline for the evaluation of climate-change model simulations, thus contributing to a better understanding of the complex response of the Mediterranean Sea to the ongoing global climate change. The product is available in netCDF at the following sources: annual and seasonal T =S anomalies (https://doi.org/10.5281/zenodo.1408832), annual and seasonal T =S vertical averaged anomalies (https://doi.org/10.5281/zenodo.1408929), annual and seasonal areal density of OHC/OSC anomalies (https://doi.org/10.5281/zenodo.1408877), annual and seasonal linear trends of T =S, OHC/OSC anomalies (https://doi.org/10.5281/zenodo.1408917), annual and seasonal time series of T =S, OHC/OSC anomalies (https://doi.org/10.5281/zenodo.1411398), and differences of two 30-year averages of annual and seasonal T =S, OHC/OSC anomalies (https://doi.org/10.5281/zenodo.1408903). © Author(s) 2018. [less ▲]

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See detailMediterranean Sea Hydrographic Atlas: towards optimal data analysis by including time-dependent statistical parameters
Iona, Athanasia; Theodorou, Athanasios; Watelet, Sylvain ULiege et al

in Earth System Science Data (2018), 10(3), 1281-1300

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See detailHistory of the participation to the Colloquium: spatial analysis and time series
Troupin, Charles ULiege; Peelen, Charlotte ULiege; Alvera Azcarate, Aida ULiege et al

Conference (2018, June 01)

Since 1969, the Liège Colloquium on Ocean (Hydro)Dynamics is organised on a yearly basis and has gathered more than 3300 scientists in editions articulated around specific topics covering a wide range of ... [more ▼]

Since 1969, the Liège Colloquium on Ocean (Hydro)Dynamics is organised on a yearly basis and has gathered more than 3300 scientists in editions articulated around specific topics covering a wide range of disciplines and many sub-regions of the global ocean. Following the 3rd Edition (1971), the organizing committee proposed to make the Colloquium an annual event: “It is a great joy for the Organizing Committee to realize that, in the same time, the continuation of the Colloquia was deeply desired by all the participants and that their gratifying determination was indeed answerable for making, from now on, the Liège Colloquium on Ocean Hydrodynamics an annual meeting.” The present work presents a first analysis of the data collected on 1. the number of participants, 2. the abstracts received and 3. the articles published in the special editions. The data were processed in order to produce choropleth maps and time series. For the most recent editions, the information was available from the colloquium websites and from the journals publishing the special issue, whereas for the first editions, the printed versions of the journals were the only source of information. As of January 2017, the information from the 1990’s could not be recovered due to the absence of participant lists in the journals and the probable loss of lists, either in paper and electronic formats. While the attendance was not the main target for the successive organising committees since the topics were often very specific, it is worth noting a general increase in the number of participants and the represented countries. For instance, the 2013 edition, dedicated to the “Primary production in the ocean: from the synoptic to the global scale”, was attended by 220 scientists from 35 countries. An EOF approach was used to estimate the missing values in the different times series. In particular, based on the past editions and the number of abstracts received before the deadline, we use the DINEOF tool to estimate the number of participant for this edition. The forecast value is 112 participants. All the data and source codes are made available through GitHub (https://github.com/gher-ulg/Liege-Colloquium-on-Ocean-Dynamics), while the interactive maps and times series are displayed at https://gher-ulg.github.io/Liege-Colloquium/, with the idea that these datasets and maps will be updated every year and that more sophisticated analysis will be performed. [less ▲]

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See detailEstimating Optimum Observation Error Covariance for Blending Radial HF Radar and Model in the Sunda Strait
Subekti Mujiasih, ULiege; Riyadi, Mochammad; Wandono, DR et al

Conference (2018, April 26)

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See detailpydiva2d: a python interface to the DIVA interpolation software
Troupin, Charles ULiege; Barth, Alexander ULiege; Watelet, Sylvain ULiege et al

Poster (2018, April 11)

A set of python tools to help users in the preparation of DIVA input files and the visualisation of the outputs of the interpolation.

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See detailState-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems
Vetra-Carvalho, Sanita; van Leeuwen, Peter Jan; Nerger, Lars et al

in Tellus. Series A (2018), 70

This paper compares several commonly used state-of-the-art ensemble-based data assimilation methods in a coherent mathematical notation. The study encompasses different methods that are applicable to high ... [more ▼]

This paper compares several commonly used state-of-the-art ensemble-based data assimilation methods in a coherent mathematical notation. The study encompasses different methods that are applicable to high-dimensional geophysical systems, like ocean and atmosphere and provide an uncertainty estimate. Most variants of Ensemble Kalman Filters, Particle Filters and second-order exact methods are discussed, including Gaussian Mixture Filters, while methods that require an adjoint model or a tangent linear formulation of the model are excluded. The detailed description of all the methods in a mathematically coherent way provides both novices and experienced researchers with a unique overview and new insight in the workings and relative advantages of each method, theoretically and algorithmically, even leading to new filters. Furthermore, the practical implementation details of all ensemble and particle filter methods are discussed to show similarities and differences in the filters aiding the users in what to use when. Finally, pseudo-codes are provided for all of the methods presented in this paper. [less ▲]

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See detailDIVA software and the cloud
Troupin, Charles ULiege; Barth, Alexander ULiege; Watelet, Sylvain ULiege et al

Conference (2018, January 22)

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See detailInvestigating the variability of surface chlorophyll-a in association with sea surface temperature and surface wind in the South China Sea
Huynh, Thi Hong Ngu ULiege; Alvera Azcarate, Aida ULiege; Beckers, Jean-Marie ULiege

Poster (2018)

In this study, the variability of surface chlorophyll-a (Chl-a) in association with sea surface temperature (SST), and surface wind (SW) in the South China Sea (SCS) is investigated using the 8-day, 4-km ... [more ▼]

In this study, the variability of surface chlorophyll-a (Chl-a) in association with sea surface temperature (SST), and surface wind (SW) in the South China Sea (SCS) is investigated using the 8-day, 4-km, DINEOF-reconstructed MODISA Chl-a and SST, and the 8-day, 25-km Cross-Calibrated Multi-Platform SW from 2003 to 2016. Empirical Orthogonal Function analysis on the data sets presents: (1) The first Chl-a mode presents the variability of coastal Chl-a, reaching maximum values in November-December and minimum values in April-May. (2) The second Chl-a mode shows the seasonal variability of open-sea Chl-a, increasing in winter and decreasing in summer. The second Chl-a mode has a correlation with the seasonal upwelling favorable SW. (3) The third Chl-a mode in association with the third SST mode captures the upwelling phenomena in the SCS in winter and summer. [less ▲]

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See detailStatus of Diva online as VRE application
Barth, Alexander ULiege; Troupin, Charles ULiege; Watelet, Sylvain ULiege et al

Conference (2017, October 19)

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See detailNew Diva capabilities for climatologies
Barth, Alexander ULiege; Troupin, Charles ULiege; Watelet, Sylvain ULiege et al

Conference (2017, October 17)

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