Altimetry for the future: Building on 25 years of progress

In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientific and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology. The paper starts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the ‘‘Green” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A fifth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identifies the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion

Altimetry for the future: building on 25 years of progress

In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientific and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology. The paper starts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the “Green” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A fifth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identifies the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion

The middle class in Argentina: Dynamics, characteristics and implications for public policies

L'Argentine est généralement considérée comme le pays typique de la classe moyenne en Amérique latine. Pourtant, si les crises successives qui ont frappé l'économie argentine au cours des quatre dernières décennies ont manifestement affecté à la fois la taille et la stabilité de sa classe moyenne, les études universitaires manquent quant aux conséquences de ces crises sur la stratification socio-économique et sur les préférences et les attentes de la classe moyenne. Le présent article comble cette lacune en se concentrant sur la période la plus récente. Pour ce faire, nous adoptons un plan de recherche original basé sur une combinaison d'enquêtes quantitatives, fondées sur des enquêtes auprès des ménages existantes et des matériaux qualitatifs originaux, qui vise à : (1) identifier la classe moyenne argentine et sa structure, ainsi que de décrire sa dynamique ; (2) examiner le comportement et les perceptions subjectives du groupe, ainsi que ses attentes en termes de politiques publiques ; et (3) évaluer dans quelle mesure la conception des politiques publiques et des stratégies du marché privé est influencée par la composition et la dynamique de la classe moyenne argentine. Premièrement, notre analyse montre que la tendance à la mobilité ascendante qui a été dominante jusqu'en 2007 et a conduit à l'expansion d'une nouvelle classe moyenne (inférieure) argentine s'est progressivement ralentie et même inversée après 2014. Deuxièmement, la mise en oeuvre d'une analyse en cluster nous a conduit à identifier cinq groupes distincts au sein de la classe moyenne argentine, confirmant ainsi son hétérogénéité.Troisièmement, l'enquête qualitative menée auprès de 40 individus issus de ménages de la classe moyenne à Buenos Aires et Tucuman fournit des comptes rendus détaillés des perceptions et attentes subjectives des différents segments de la classe moyenne argentine. Quatrièmement, notre analyse confirme que la classe moyenne argentine est hétérogène en termes d'orientations politiques. Enfin, une enquête institutionnelle qualitative menée auprès de 12 représentants d'institutions publiques et privées met en évidence la mise en oeuvre récente de programmes publics ou privés spécifiquement dédiés aux ménages de la classe moyenne

Le congrès GRUTTEE 2022 à Toulouse: s’adapter pour atteindre disponibilité et qualité de l’eau pour tous

International audienc

Comparative genomics and transcriptomics of #Xanthomonas campestris# : Session 3- Physiologie, génétique et génomique des bactéries

International audienceThe Xanthomonas campestris species causes different diseases on a wide range of Brassicas and is composed of at least four pathovars (campestris, incanae. raphani. unnamed). This species encompasses both vascular and non-vascular pathogens. A comparative genomic analysis of X campestris diversity was performed at the intraspecific and intrapathovar levels by sequencing more than 40 strains. Structural genome annotation was performed and benefited from deep sequencing of small and large RNAs. This approach allowed the exact determination of transcriptional start sites and the identification of small noncoding RNAs. We also used RNA sequencing to characterize the type III regulon in several strains and could identify novel type 111 effectomes. Core and variable genomes and type 111 effectomes were determined. These results evidenced an unsuspected genomic diversity in this species. The latest progress in this project will be presented. (Texte intégral

The complete genome sequence of Xanthomonas albilineans provides insights into pathogenicity of this sugarcane pathogen and allows further assessments of the large diversity within this species

International audienceno abstrac

Recent pea genomic resources will enhance complementary improvement strategies in this crop

International audienceThe recent development of high-throughput sequencing and genotyping technologies has permitted pea genomics to catch up and enter into the genomic era. We will present the development of functional and structural genomic resources in pea and their application in pea breeding. We developed a pea Unigene expression atlas that allows visualization of expression profiles for any gene of interest in various tissues subjected to different conditions. This was the basis for generating a high density microarray for functional genomics and a high-throughput genotyping BeadChip array for genotyping. These tools will be extremely useful in three breeding strategies followed by the team: (i) ideotype breeding, which pursue an ideal plant model that is expected to meet the desired yield and quality requirements of producers and users; (ii) targeted breeding, which chase the good combinations of genetic factors controlling traits of interest; and (iii) genome-wide breeding, which models phenotypes from high density marker genotypes