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  • 1
    In: The Lancet Gastroenterology & Hepatology, Elsevier BV, Vol. 6, No. 1 ( 2021-01), p. 17-29
    Materialart: Online-Ressource
    ISSN: 2468-1253
    Sprache: Englisch
    Verlag: Elsevier BV
    Publikationsdatum: 2021
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  • 2
    In: Physics Open, Elsevier BV, Vol. 5 ( 2020-12), p. 100051-
    Materialart: Online-Ressource
    ISSN: 2666-0326
    Sprache: Englisch
    Verlag: Elsevier BV
    Publikationsdatum: 2020
    ZDB Id: 3008350-3
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  • 3
    Online-Ressource
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    American Geophysical Union (AGU) ; 2011
    In:  Journal of Geophysical Research Vol. 116, No. C10 ( 2011-10-28)
    In: Journal of Geophysical Research, American Geophysical Union (AGU), Vol. 116, No. C10 ( 2011-10-28)
    Materialart: Online-Ressource
    ISSN: 0148-0227
    Sprache: Englisch
    Verlag: American Geophysical Union (AGU)
    Publikationsdatum: 2011
    ZDB Id: 2033040-6
    ZDB Id: 3094104-0
    ZDB Id: 2130824-X
    ZDB Id: 2016813-5
    ZDB Id: 2016810-X
    ZDB Id: 2403298-0
    ZDB Id: 2016800-7
    ZDB Id: 161666-3
    ZDB Id: 161667-5
    ZDB Id: 2969341-X
    ZDB Id: 161665-1
    ZDB Id: 3094268-8
    ZDB Id: 710256-2
    ZDB Id: 2016804-4
    ZDB Id: 3094181-7
    ZDB Id: 3094219-6
    ZDB Id: 3094167-2
    ZDB Id: 2220777-6
    ZDB Id: 3094197-0
    SSG: 16,13
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  • 4
    In: Journal of Biogeography, Wiley, Vol. 42, No. 11 ( 2015-11), p. 2209-2219
    Kurzfassung: The goal of the study was to quantify changes in the extent of mangroves since the mid‐twentieth century and to test the hypothesis that these changes are driven by ocean waves. Location The pristine 300‐km‐long coast of French Guiana, South America. Methods We produced time series of mangrove maps using archival remote sensing images. We retrieved significant wave heights ( H S ), mean wave periods ( T M ) and mean wave directions (θ M ) from the European Centre for Medium‐Range Weather Forecasts reanalysis products. We used complex empirical orthogonal function ( CEOF ) decomposition to extract the main mode of mangrove surface area ( M S ) variability and singular value decomposition ( SVD ) to test the relationships between M S and H S , T M and θ M . Results The leading mode of variability extracted from the CEOF decomposition of M S captured approximately 78% of the total auto‐covariance and revealed multi‐decadal fluctuations in M S that were on the order of 10,000 ha. The SVD results indicated that the multi‐decadal fluctuation in M S cross‐covaried with H S , T M and θ M over the North Atlantic sector, particularly in the region immediately off the French Guiana coast that is remotely forced by the North Atlantic Oscillation ( NAO ) during the winter season. Main conclusions We provide evidence based on linear statistics that variations in the extent of mangroves are driven by large‐scale, low‐frequency changes in North Atlantic waves that are related to the NAO . Such a relationship is hypothesized to operate through wave pounding, which alters the mud substrates on which mangroves thrive and which varies with the phase of the NAO . In addition to long‐term trends due to anthropogenic climate change, our results stress the importance of studying low‐frequency modes of climate variability to understand changes in the extent of mangroves.
    Materialart: Online-Ressource
    ISSN: 0305-0270 , 1365-2699
    URL: Issue
    Sprache: Englisch
    Verlag: Wiley
    Publikationsdatum: 2015
    ZDB Id: 2020428-0
    ZDB Id: 188963-1
    SSG: 12
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  • 5
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3835-3835
    Kurzfassung: Myeloid sarcoma (MS) is defined as a tumor mass consisting of myeloid blasts with or without maturation occurring at an anatomical site other than bone marrow (BM). MS may occur before, concurrently or after a characterized acute myeloid leukemia (AML). Cytogenetic abnormalities are found in 50% of the cases but molecular alterations are less well described and involved FLT3 and/or NPM1 mutations. Mutations in IDH1 and IDH2 genes are found in 15% to 20% of patients with AML but have never been described in MS. Mutated IDH enzymes produce in vast excess D-2-hydroxyglutarate (2-HG) in leukemic cells, which can act as a biomarker predictive of the presence of IDH1 and IDH2 mutations. As availability of DNA sequencing techniques on paraffin samples are limited, molecular characterization of MS remained difficult. We asked whether in MS, serum 2-HG would predict the presence of IDH1/2 mutations at diagnosis, and could provide a biomarker for follow up. Tissue samples and serum samples from 8 patients with a MS diagnosis were analyzed. High quality genomic DNA was extracted from frozen MS samples using conventional phenol/chloroforme extraction procedures. Exon 4 of IDH1 and IDH2 genes (IDH1/R132 and IDH2/R140 and /R172 codons) was amplified by PCR using HotStar Taq polymeraze (Qiagen) and primers. Direct sequencing was performed using the Sanger method as previously described. In case of MS relapse or AML evolution, IDH1 and IDH2 genes were analyzed in the same way from frozen tissue sample or bone marrow sample. Serum samples at MS diagnosis were analyzed for total 2-HG, D-2-HG and L-2-HG by reverse-phase liquid chromatography coupled to mass spectrometry. In case of myeloid sarcoma with IDH1/2 mutation, 2-HG values were compared to 18F-FDG-PET results when available during remission phase and at relapse. Three patients (3/8; 37.5%) had an IDH2 R140Q mutation at diagnosis of MS localized to lymph node, soft tissue, skin or pharynx. At MS diagnosis, serum total 2-HG, D-2-HG and ratio D/L-2-HG were significantly higher in case of myeloid sarcoma with IDH2 R140Q mutation compared to patients with no IDH mutation (Table 1). Serum total 2-HG level ≥2µM or D-2-HG level ≥1.8µM or ratio D/L 2-HG 〉 2.5 were significantly associated with the presence of IDH2 mutation (Fisher's exact test P≤0.02). Table 1. Myeloid sarcoma with IDH2 R140Q mutation (N=3) Myeloid sarcoma without IDH2 R140Q mutation (N=5) Median total 2-HG (µM) 4.1 (range: 3.1-30.1) 1.4 (range: 1-1.6) Median D-2-HG (µM) 3.7 (range: 2.3-28) 0.6 (range: 0.5-0.8) Median L-2-HG (µM) 0.8 (range: 0.4-2.1) 0.8 (range: 0.4-0.8) Median ratio D/L 2-HG 8.3 (range: 2.9-18.8) 1 (range: 0.7-1.7) All 3 patients with IDH2 R140Q mutated MS received intensive chemotherapy treatment and achieved complete remission (CR). Two patients relapsed: one experienced isolated extramedullary relapse (thigh muscle); one had a bone marrow relapse. IDH2 R140Q mutation was found at the site of relapse in both cases. When available, serum 2-HG values and 18F-fluorodeoxyglucose-positron-emission tomography (FDG-PET) were compared at different time points (at diagnosis, remission and relapse; Table 2). Table 2. Patient #1 Patient #2 Patient #3 FDG-PET at diagnosis (SUVmax) - 17 5.25 Serum 2-HG at diagnosis (µM) 4.1 3.1 30.1 FDG-PET in remission (SUVmax) 0 - 9.6 (N=4) 0 (N=4) - Serum 2-HG in remission (µM) 0.5 - 1.1 (N=4) 0.6 - 3.1 (N=4) 3.4 - 17.9 (N=3) FDG-PET at MS relapse/evolution to AML (SUVmax) 6.1 - 0 Serum 2-HG at MS relapse/evolution to AML (µM) 2.3 - 16.7 Time between diagnosis and MS relapse/evolution to AML (months) 30 - 9 Serum 2-HG values were in accordance with FDG-PET interpretations except in patient #1 who presented a transient hypermetabolic splenic nodule (SUVmax 9.6) without serum 2-HG increase. Patient #2 remained in CR but had recently increased 2-HG values without overt relapse. Patient #3 presented relapse as a refractory anemia with excess of blast without extra-medullary localization. FDG-PET didn't find any abnormality contrary to the persistent increased value of serum 2-HG (total 2-HG: 16.7µM). These data show that myeloid sarcoma can be associated with IDH2 R140Q mutation and suggest that 2-HG measurement in the serum predicts the presence of IDH1/2 mutations at diagnosis. During follow-up, serum 2-HG values could be representative of the disease status. Because of IDH inhibitors promising results in AML, 2-HG screening at MS diagnosis could be useful. Disclosures Ribrag: Celgene: Research Funding; Esai: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmamar: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. De Botton:Agios pharmaceuticals: Research Funding.
    Materialart: Online-Ressource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Hematology
    Publikationsdatum: 2015
    ZDB Id: 1468538-3
    ZDB Id: 80069-7
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  • 6
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    American Meteorological Society ; 2007
    In:  Journal of Climate Vol. 20, No. 14 ( 2007-07-15), p. 3510-3526
    In: Journal of Climate, American Meteorological Society, Vol. 20, No. 14 ( 2007-07-15), p. 3510-3526
    Kurzfassung: Extratropical SSTs can be influenced by the “reemergence mechanism,” whereby thermal anomalies in the deep winter mixed layer persist at depth through summer and are then reentrained into the mixed layer in the following winter. The impact of reemergence in the North Atlantic Ocean (NAO) upon the climate system is investigated using an atmospheric general circulation model coupled to a mixed layer ocean/thermodynamic sea ice model. The dominant pattern of thermal anomalies below the mixed layer in summer in a 150-yr control integration is associated with the North Atlantic SST tripole forced by the NAO in the previous winter as indicated by singular value decomposition (SVD). To isolate the reemerging signal, two additional 60-member ensemble experiments were conducted in which temperature anomalies below 40 m obtained from the SVD analysis are added to or subtracted from the control integration. The reemerging signal, given by the mean difference between the two 60-member ensembles, causes the SST anomaly tripole to recur, beginning in fall, amplifying through January, and persisting through the following spring. The atmospheric response to these SST anomalies resembles the circulation that created them the previous winter but with reduced amplitude (10–20 m at 500 mb per °C), modestly enhancing the winter-to-winter persistence of the NAO. Changes in the transient eddies and their interactions with the mean flow contribute to the large-scale equivalent barotropic response throughout the troposphere. The latter can also be attributed to the change in occurrence of intrinsic weather regimes.
    Materialart: Online-Ressource
    ISSN: 1520-0442 , 0894-8755
    RVK:
    Sprache: Englisch
    Verlag: American Meteorological Society
    Publikationsdatum: 2007
    ZDB Id: 246750-1
    ZDB Id: 2021723-7
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  • 7
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    American Meteorological Society ; 2021
    In:  Journal of Physical Oceanography Vol. 51, No. 2 ( 2021-02), p. 343-364
    In: Journal of Physical Oceanography, American Meteorological Society, Vol. 51, No. 2 ( 2021-02), p. 343-364
    Kurzfassung: This work aims to clarify the relation between the Atlantic meridional overturning circulation (AMOC) and the thermal wind. We derive a new and generic dynamical AMOC decomposition that expresses the thermal wind transport as a simple vertical integral function of eastern minus western boundary densities. This allows us to express density anomalies at any depth as a geostrophic transport in Sverdrups (1 Sv ≡ 10 6 m 3 s −1 ) per meter and to predict that density anomalies around the depth of maximum overturning induce most AMOC transport. We then apply this formalism to identify the dynamical drivers of the centennial AMOC variability in the CNRM-CM6 climate model. The dynamical reconstruction and specifically the thermal wind component explain over 80% of the low-frequency AMOC variance at all latitudes, which is therefore almost exclusively driven by density anomalies at both zonal boundaries. This transport variability is dominated by density anomalies between depths of 500 and 1500 m, in agreement with theoretical predictions. At those depths, southward-propagating western boundary temperature anomalies induce the centennial geostrophic AMOC transport variability in the North Atlantic. They are originated along the western boundary of the subpolar gyre through the Labrador Sea deep convection and the Davis Strait overflow.
    Materialart: Online-Ressource
    ISSN: 0022-3670 , 1520-0485
    Sprache: Unbekannt
    Verlag: American Meteorological Society
    Publikationsdatum: 2021
    ZDB Id: 2042184-9
    ZDB Id: 184162-2
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  • 8
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    American Meteorological Society ; 2020
    In:  Journal of Climate Vol. 33, No. 7 ( 2020-04-01), p. 2681-2700
    In: Journal of Climate, American Meteorological Society, Vol. 33, No. 7 ( 2020-04-01), p. 2681-2700
    Kurzfassung: The response of the European climate to the Atlantic multidecadal variability (AMV) remains difficult to isolate in observations because of the presence of strong internal variability and anthropogenically forced signals. Using model sensitivity experiments proposed within the CMIP6/Decadal Climate Prediction Project Component C (DCPP-C) framework, the wintertime AMV–Europe teleconnection is here investigated in large ensembles of pacemaker-type simulations conducted with the CNRM-CM5 global circulation model. To evaluate the sensitivity of the model response to the AMV amplitude, twin experiments with the AMV forcing pattern multiplied by 2 and 3 (2xAMV and 3xAMV, respectively) are performed in complement to the reference ensemble (1xAMV). Based on a flow analog method, we show that the AMV-forced atmospheric circulation tends to cool down the European continent, whereas the residual signal, mostly including thermodynamical processes, contributes to warming. In 1xAMV, both terms cancel each other, explaining the overall weak AMV-forced atmospheric signal. In 2xAMV and 3xAMV, the thermodynamical contribution overcomes the dynamical cooling and is responsible for milder and wetter conditions found at large scale over Europe. The thermodynamical term includes the advection of warmer and more humid oceanic air penetrating inland and the modification of surface radiative fluxes linked to both altered cloudiness and snow-cover reduction acting as a positive feedback with the AMV amplitude. The dynamical anomalous circulation combines 1) a remote response to enhanced diabatic heating acting as a Rossby wave source in the western tropical Atlantic and 2) a local response associated with warmer SST over the subpolar gyre favoring an anomalous high. The extratropical influence is reinforced by polar amplification due to sea ice melting in all the subarctic seas. The weight between the tropical–extratropical processes and associated feedbacks is speculated to partly explain the nonlinear sensibility of the response to the AMV forcing amplitude, challenging thus the use of the so-called pattern-scaling technique to evaluate teleconnectivity and related impacts associated with decadal variability.
    Materialart: Online-Ressource
    ISSN: 0894-8755 , 1520-0442
    RVK:
    Sprache: Unbekannt
    Verlag: American Meteorological Society
    Publikationsdatum: 2020
    ZDB Id: 246750-1
    ZDB Id: 2021723-7
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  • 9
    Online-Ressource
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    American Meteorological Society ; 2006
    In:  Journal of Climate Vol. 19, No. 11 ( 2006-06-01), p. 2496-2525
    In: Journal of Climate, American Meteorological Society, Vol. 19, No. 11 ( 2006-06-01), p. 2496-2525
    Kurzfassung: Extratropical atmosphere–ocean variability over the Northern Hemisphere of the Community Climate System Model version 3 (CCSM3) is examined and compared to observations. Results are presented for an extended control integration with a horizontal resolution of T85 (1.4°) for the atmosphere and land and ∼1° for the ocean and sea ice. Several atmospheric phenomena are investigated including storms, clouds, and patterns of variability, and their relationship to both tropical and extratropical SST anomalies. The mean storm track, the leading modes of storm track variability, and the relationship of the latter to tropical and midlatitude sea surface temperature (SST) anomalies are fairly well simulated in CCSM3. The positive correlations between extratropical SST and low-cloud anomalies in summer are reproduced by the model, but there are clear biases in the relationship between clouds and the near-surface meridional wind. The model accurately represents the circulation anomalies associated with the jet stream waveguide, the Pacific–North American (PNA) pattern, and fluctuations associated with the Aleutian low, including how the latter two features are influenced by the El Niño–Southern Oscillation (ENSO). CCSM3 has a reasonable depiction of the Pacific decadal oscillation (PDO), but it is not strongly connected to tropical Pacific SSTs as found in nature. There are biases in the position of the North Atlantic Oscillation (NAO) and other Atlantic regimes, as the mean Icelandic low in CCSM3 is stronger and displaced southeastward relative to observations. Extratropical ocean processes in CCSM3, including upper-ocean mixing, thermocline variability, and extratropical to tropical flow within the thermocline, also influence climate variability. As in observations, the model includes the “reemergence mechanism” where seasonal variability in mixed layer depth (MLD) allows SST anomalies to recur in consecutive winters without persisting through the intervening summer. Remote wind stress curl anomalies drive thermocline variability in the Kuroshio–Oyashio Extension region, which influences SST, surface heat flux anomalies, and the local wind field. The interior ocean pathways connecting the subtropics to the equator in both the Pacific and Atlantic are less pronounced in CCSM3 than in nature or in ocean-only simulations forced by observed atmospheric conditions, and the flow from the subtropical North Atlantic does not appear to reach the equator through either the western boundary or interior pathways.
    Materialart: Online-Ressource
    ISSN: 1520-0442 , 0894-8755
    RVK:
    Sprache: Englisch
    Verlag: American Meteorological Society
    Publikationsdatum: 2006
    ZDB Id: 246750-1
    ZDB Id: 2021723-7
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  • 10
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    American Meteorological Society ; 2014
    In:  Bulletin of the American Meteorological Society Vol. 95, No. 2 ( 2014-02-01), p. 243-267
    In: Bulletin of the American Meteorological Society, American Meteorological Society, Vol. 95, No. 2 ( 2014-02-01), p. 243-267
    Kurzfassung: This paper provides an update on research in the relatively new and fast-moving field of decadal climate prediction, and addresses the use of decadal climate predictions not only for potential users of such information but also for improving our understanding of processes in the climate system. External forcing influences the predictions throughout, but their contributions to predictive skill become dominant after most of the improved skill from initialization with observations vanishes after about 6–9 years. Recent multimodel results suggest that there is relatively more decadal predictive skill in the North Atlantic, western Pacific, and Indian Oceans than in other regions of the world oceans. Aspects of decadal variability of SSTs, like the mid-1970s shift in the Pacific, the mid-1990s shift in the northern North Atlantic and western Pacific, and the early-2000s hiatus, are better represented in initialized hindcasts compared to uninitialized simulations. There is evidence of higher skill in initialized multimodel ensemble decadal hindcasts than in single model results, with multimodel initialized predictions for near-term climate showing somewhat less global warming than uninitialized simulations. Some decadal hindcasts have shown statistically reliable predictions of surface temperature over various land and ocean regions for lead times of up to 6–9 years, but this needs to be investigated in a wider set of models. As in the early days of El Niño–Southern Oscillation (ENSO) prediction, improvements to models will reduce the need for bias adjustment, and increase the reliability, and thus usefulness, of decadal climate predictions in the future.
    Materialart: Online-Ressource
    ISSN: 1520-0477 , 0003-0007
    Sprache: Englisch
    Verlag: American Meteorological Society
    Publikationsdatum: 2014
    ZDB Id: 2029396-3
    ZDB Id: 419957-1
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