Future Sea Level Change Under Coupled Model Intercomparison Project Phase 5 and Phase 6 Scenarios From the Greenland and Antarctic Ice Sheets

Projections of the sea level contribution from the Greenland and Antarctic ice sheets (GrIS and AIS) rely on atmospheric and oceanic drivers obtained from climate models. The Earth System Models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6) generally project greater future warming compared with the previous Coupled Model Intercomparison Project phase 5 (CMIP5) effort. Here we use four CMIP6 models and a selection of CMIP5 models to force multiple ice sheet models as part of the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We find that the projected sea level contribution at 2100 from the ice sheet model ensemble under the CMIP6 scenarios falls within the CMIP5 range for the Antarctic ice sheet but is significantly increased for Greenland. Warmer atmosphere in CMIP6 models results in higher Greenland mass loss due to surface melt. For Antarctica, CMIP6 forcing is similar to CMIP5 and mass gain from increased snowfall counteracts increased loss due to ocean warming

Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty

The Antarctic Ice Sheet represents the largest source of uncertainty in future sea level rise projections, with a contribution to sea level by 2100 ranging from −5 to 43 cm of sea level equivalent under high carbon emission scenarios estimated by the recent Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). ISMIP6 highlighted the different behaviors of the East and West Antarctic ice sheets, as well as the possible role of increased surface mass balance in offsetting the dynamic ice loss in response to changing oceanic conditions in ice shelf cavities. However, the detailed contribution of individual glaciers, as well as the partitioning of uncertainty associated with this ensemble, have not yet been investigated. Here, we analyze the ISMIP6 results for high carbon emission scenarios, focusing on key glaciers around the Antarctic Ice Sheet, and we quantify their projected dynamic mass loss, defined here as mass loss through increased ice discharge into the ocean in response to changing oceanic conditions. We highlight glaciers contributing the most to sea level rise, as well as their vulnerability to changes in oceanic conditions. We then investigate the different sources of uncertainty and their relative role in projections, for the entire continent and for key individual glaciers. We show that, in addition to Thwaites and Pine Island glaciers in West Antarctica, Totten and Moscow University glaciers in East Antarctica present comparable future dynamic mass loss and high sensitivity to ice shelf basal melt. The overall uncertainty in additional dynamic mass loss in response to changing oceanic conditions, compared to a scenario with constant oceanic conditions, is dominated by the choice of ice sheet model, accounting for 52 % of the total uncertainty of the Antarctic dynamic mass loss in 2100. Its relative role for the most dynamic glaciers varies between 14 % for MacAyeal and Whillans ice streams and 56 % for Pine Island Glacier at the end of the century. The uncertainty associated with the choice of climate model increases over time and reaches 13 % of the uncertainty by 2100 for the Antarctic Ice Sheet but varies between 4 % for Thwaites Glacier and 53 % for Whillans Ice Stream. The uncertainty associated with the ice–climate interaction, which captures different treatments of oceanic forcings such as the choice of melt parameterization, its calibration, and simulated ice shelf geometries, accounts for 22 % of the uncertainty at the ice sheet scale but reaches 36 % and 39 % for Institute Ice Stream and Thwaites Glacier, respectively, by 2100. Overall, this study helps inform future research by highlighting the sectors of the ice sheet most vulnerable to oceanic warming over the 21st century and by quantifying the main sources of uncertainty

Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty

The Antarctic Ice Sheet represents the largest source of uncertainty in future sea level rise projections, with a contribution to sea level by 2100 ranging from −5 to 43 cm of sea level equivalent under high carbon emission scenarios estimated by the recent Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). ISMIP6 highlighted the different behaviors of the East and West Antarctic ice sheets, as well as the possible role of increased surface mass balance in offsetting the dynamic ice loss in response to changing oceanic conditions in ice shelf cavities. However, the detailed contribution of individual glaciers, as well as the partitioning of uncertainty associated with this ensemble, have not yet been investigated. Here, we analyze the ISMIP6 results for high carbon emission scenarios, focusing on key glaciers around the Antarctic Ice Sheet, and we quantify their projected dynamic mass loss, defined here as mass loss through increased ice discharge into the ocean in response to changing oceanic conditions. We highlight glaciers contributing the most to sea level rise, as well as their vulnerability to changes in oceanic conditions. We then investigate the different sources of uncertainty and their relative role in projections, for the entire continent and for key individual glaciers. We show that, in addition to Thwaites and Pine Island glaciers in West Antarctica, Totten and Moscow University glaciers in East Antarctica present comparable future dynamic mass loss and high sensitivity to ice shelf basal melt. The overall uncertainty in additional dynamic mass loss in response to changing oceanic conditions, compared to a scenario with constant oceanic conditions, is dominated by the choice of ice sheet model, accounting for 52 % of the total uncertainty of the Antarctic dynamic mass loss in 2100. Its relative role for the most dynamic glaciers varies between 14 % for MacAyeal and Whillans ice streams and 56 % for Pine Island Glacier at the end of the century. The uncertainty associated with the choice of climate model increases over time and reaches 13 % of the uncertainty by 2100 for the Antarctic Ice Sheet but varies between 4 % for Thwaites Glacier and 53 % for Whillans Ice Stream. The uncertainty associated with the ice–climate interaction, which captures different treatments of oceanic forcings such as the choice of melt parameterization, its calibration, and simulated ice shelf geometries, accounts for 22 % of the uncertainty at the ice sheet scale but reaches 36 % and 39 % for Institute Ice Stream and Thwaites Glacier, respectively, by 2100. Overall, this study helps inform future research by highlighting the sectors of the ice sheet most vulnerable to oceanic warming over the 21st century and by quantifying the main sources of uncertainty

Analysis of zooplankton species composition and depth-based habitat preference in Nootka Sound, B.C., Canada

Senior thesis written for Oceanography 445[author abstract] The composition and abundances of zooplankton were studied in Nootka Sound, an estuarine fjord in British Columbia, Canada in winter 2014. Net tows were conducted at ten stations with varying water column depth and analyzed for composition, diversity and organism size. Diversity did not vary with depth, however, organism size showed a distinct and significant pattern with depth. A higher proportion of small copepods were found at stations with shallower depth. Depth is a factor in habitat preference, and is most likely associated with visibility to predators.University of Washington School of Oceanograph

Consommation hospitalière d'antibiotiques (méthodologies et place de la France en Europe)

LYON1-BU Santé (693882101) / SudocSudocFranceF

Dive Behavior of the Double Crested (Phalacrocorax auritus) and the Pelagic (Phalacrocorax pelagicus) Cormorant at Cattle Pass, San Juan Island, WA

The dive behavior of the Double Crested Cormorant (Phalacrocorax auritus) and the Pelagic Cormorant (Phalacrocorax pelagicus) was studied along Cattle Pass of San Juan Island, WA, USA. Dive durations and resting periods were measured for consecutive, sequential dives of each type of cormorant. Comparing the two species, mean dive time was greater for the Pelagic Cormorant. Both species exhibited dive to rest time ratios greater than one (>1) and therefore generate an oxygen debt that must be resupplied after completion of dive bouts. Tidal phase, including tidal height and current speed had an effect on when both species chose to forage. Further analysis of prey abundance and final resting locations in the Cattle Pass region are needed to understand more about the Double Crested and the Pelagic Cormorant’s dive behavior in the San Juan channel

Dive Behavior of the Double Crested (Phalacrocorax auritus) and the Pelagic (Phalacrocorax pelagicus) Cormorant at Cattle Pass, San Juan Island, WA

The dive behavior of the Double Crested Cormorant (Phalacrocorax auritus) and the Pelagic Cormorant (Phalacrocorax pelagicus) was studied along Cattle Pass of San Juan Island, WA, USA. Dive durations and resting periods were measured for consecutive, sequential dives of each type of cormorant. Comparing the two species, mean dive time was greater for the Pelagic Cormorant. Both species exhibited dive to rest time ratios greater than one (>1) and therefore generate an oxygen debt that must be resupplied after completion of dive bouts. Tidal phase, including tidal height and current speed had an effect on when both species chose to forage. Further analysis of prey abundance and final resting locations in the Cattle Pass region are needed to understand more about the Double Crested and the Pelagic Cormorant’s dive behavior in the San Juan channel

Impact of the COVID-19 Pandemic on Trauma Service Utilization at a New York City Level I Trauma Center

BACKGROUND: The COVID-19 pandemic globally impacted trauma facilities and overall healthcare utilization. This study was conducted to characterize the utilization of trauma services at our Level I Trauma Center in New York City during the COVID-19 pandemic compared to the preceding pre-pandemic year. METHODS: A retrospective study of patient presenting to our Level 1 Trauma Center in Staten Island, New York. The pre-pandemic data was extracted from March 1st, 2019-February 29th, 2020. The pandemic year was divided into two phases: the initial wave (March 1st-Sept 1st, 2020) and the protracted phase (September 1st, 2020-March 1st, 2021). Patients were identified using ICD-10 coding and data regarding patient factors, mechanism of injury, and service utilization was extracted from the medical record. Statistical analysis was performed using IBM SPSS v.24. RESULTS: A total of 1650 trauma activations registered during the pre-pandemic phase, 691 during the initial wave, and 826 during the protracted phase. Compared to pre-pandemic, the number of Level 1 trauma activations remained unchanged, however mechanisms of injury shifted. Gunshot wounds (2.6% vs 1.2%), motorcycle crash (4.2% vs 2.0%) and blunt force injury caused by an object (strike injuries) (2.7% vs 1.3%) significantly increased during the initial wave (p-value \u3c0.05). There was a significant decrease in the percentage of both female (2.93% vs 2.33% vs 5.64%, p-value \u3c0.01) and pediatric (3.30% vs 3.64% vs 12.9%, p-value \u3c0.001) assault activations during the initial wave and protracted phase when compared to pre-pandemic levels, respectively. No significant changes were observed for self-harm, falls, accidents, burns, sports injuries, stab wounds, autobody collisions, or motor vehicle accident activations. CONCLUSION: Trauma centers should be prepared for increases in violent trauma. We also emphasize the need to implement strategies to raise public awareness of pediatric and female assault in the domestic setting, particularly during a mandatory stay-at-home policy where underreporting may occur

Antibodies to in silico selected GPI-anchored Theileria parva proteins neutralize sporozoite infection in vitro

East Coast fever (ECF) caused by Theileria parva kills cattle in East, Central and Southern Africa leading to significant economic losses. Vaccination is used as a control strategy against ECF and is presently dependent on deliberate infection with live sporozoites and simultaneous treatment with a long-acting oxytetracycline. Although effective, this method has serious limitations; the immunity is parasite strain specific and immunized cattle can become life-long asymptomatic carriers of the parasite, posing risk for the spread of the disease. In efforts to develop a subunit vaccine, the role of antibodies in the neutralization of T. parva sporozoites infection of host cells has been investigated and a circumsporozoite protein, p67, is able to induce such neutralizing antibodies. However, the p67 protein only protects a proportion of immunized cattle against T. parva challenge and such protection might be improved by inclusion of additional parasite antigens that neutralize sporozoite infection. In an attempt to identify such antigens, we searched the re-annotated T. parva genome for genes predicted to contain GPI anchor signals, since they are likely to be located on the cell surface, and expressed fragments of six of the selected genes in E. coli. The recombinant proteins were used to raise antisera in mice. Antisera to two proteins, TpMuguga_01g00876 and TpMuguga_01g00939, neutralized sporozoite infectivity to a high degree, while antisera to two additional proteins, TpMuguga_01g00095 and TpMuguga_04g00437, exhibited moderate neutralizing capacity. We conclude that these four antigens are potential vaccine candidates, which should be evaluated further in cattle