Academic literature on the topic 'Antarctic precipitation'
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Journal articles on the topic "Antarctic precipitation"
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Fyke, Jeremy, Jan T. M. Lenaerts, and Hailong Wang. "Basin-scale heterogeneity in Antarctic precipitation and its impact on surface mass variability." Cryosphere 11, no. 6 (November 15, 2017): 2595–609. http://dx.doi.org/10.5194/tc-11-2595-2017.
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Abstract. Annually averaged precipitation in the form of snow, the dominant term of the Antarctic Ice Sheet surface mass balance, displays large spatial and temporal variability. Here we present an analysis of spatial patterns of regional Antarctic precipitation variability and their impact on integrated Antarctic surface mass balance variability simulated as part of a preindustrial 1800-year global, fully coupled Community Earth System Model simulation. Correlation and composite analyses based on this output allow for a robust exploration of Antarctic precipitation variability. We identify statistically significant relationships between precipitation patterns across Antarctica that are corroborated by climate reanalyses, regional modeling and ice core records. These patterns are driven by variability in large-scale atmospheric moisture transport, which itself is characterized by decadal- to centennial-scale oscillations around the long-term mean. We suggest that this heterogeneity in Antarctic precipitation variability has a dampening effect on overall Antarctic surface mass balance variability, with implications for regulation of Antarctic-sourced sea level variability, detection of an emergent anthropogenic signal in Antarctic mass trends and identification of Antarctic mass loss accelerations.
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van den Broeke, Michiel R., and Nicole P. M. van Lipzig. "Changes in Antarctic temperature, wind and precipitation in response to the Antarctic Oscillation." Annals of Glaciology 39 (2004): 119–26. http://dx.doi.org/10.3189/172756404781814654.
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AbstractOutput of a 14 year integration with a high-resolution (55 km ×55 km) regional atmospheric climate model is used to study the response of Antarctic near-surface climate to the Antarctic Oscillation (AAO), the periodical strengthening and weakening of the circumpolar vortex in the Southern Hemisphere. In spite of the relatively short record, wind, temperature and precipitation show widespread and significant AAO-related signals. When the vortex is strong (high AAO index), northwesterly flow anomalies cause warming over the Antarctic Peninsula (AP) and adjacent regions in West Antarctica and the Weddell Sea. In contrast, cooling occurs in East Antarctica, the eastern Ross Ice Shelf and parts of Marie Byrd Land. Most of the annual temperature signal stems from the months March–August. The spatial distribution of the precipitation response to changes in the AAO does not mirror temperature changes but is in first order determined by the direction of flow anomalies with respect to the Antarctic topography. When the vortex is strong (high AAO index), the western AP becomes wetter, while the Ross Ice Shelf, parts of West Antarctica and the Lambert Glacier basin, East Antarctica, become drier.
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Wang, Hailong, Jeremy G. Fyke, Jan T. M. Lenaerts, Jesse M. Nusbaumer, Hansi Singh, David Noone, Philip J. Rasch, and Rudong Zhang. "Influence of sea-ice anomalies on Antarctic precipitation using source attribution in the Community Earth System Model." Cryosphere 14, no. 2 (February 4, 2020): 429–44. http://dx.doi.org/10.5194/tc-14-429-2020.
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Abstract. We conduct sensitivity experiments using a general circulation model that has an explicit water source tagging capability forced by prescribed composites of pre-industrial sea-ice concentrations (SICs) and corresponding sea surface temperatures (SSTs) to understand the impact of sea-ice anomalies on regional evaporation, moisture transport and source–receptor relationships for Antarctic precipitation in the absence of anthropogenic forcing. Surface sensible heat fluxes, evaporation and column-integrated water vapor are larger over Southern Ocean (SO) areas with lower SICs. Changes in Antarctic precipitation and its source attribution with SICs have a strong spatial variability. Among the tagged source regions, the Southern Ocean (south of 50∘ S) contributes the most (40 %) to the Antarctic total precipitation, followed by more northerly ocean basins, most notably the South Pacific Ocean (27%), southern Indian Ocean (16 %) and South Atlantic Ocean (11 %). Comparing two experiments prescribed with high and low pre-industrial SICs, respectively, the annual mean Antarctic precipitation is about 150 Gt yr−1 (or 6 %) more in the lower SIC case than in the higher SIC case. This difference is larger than the model-simulated interannual variability in Antarctic precipitation (99 Gt yr−1). The contrast in contribution from the Southern Ocean, 102 Gt yr−1, is even more significant compared to the interannual variability of 35 Gt yr−1 in Antarctic precipitation that originates from the Southern Ocean. The horizontal transport pathways from individual vapor source regions to Antarctica are largely determined by large-scale atmospheric circulation patterns. Vapor from lower-latitude source regions takes elevated pathways to Antarctica. In contrast, vapor from the Southern Ocean moves southward within the lower troposphere to the Antarctic continent along moist isentropes that are largely shaped by local ambient conditions and coastal topography. This study also highlights the importance of atmospheric dynamics in affecting the thermodynamic impact of sea-ice anomalies associated with natural variability on Antarctic precipitation. Our analyses of the seasonal contrast in changes of basin-scale evaporation, moisture flux and precipitation suggest that the impact of SIC anomalies on regional Antarctic precipitation depends on dynamic changes that arise from SIC–SST perturbations along with internal variability. The latter appears to have a more significant effect on the moisture transport in austral winter than in summer.
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Dethloff, Klaus, Ksenia Glushak, Annette Rinke, and Dörthe Handorf. "Antarctic 20th Century Accumulation Changes Based on Regional Climate Model Simulations." Advances in Meteorology 2010 (2010): 1–14. http://dx.doi.org/10.1155/2010/327172.
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The regional climate model HIRHAM has been applied to Antarctica driven at the lateral and lower boundaries by European Reanalysis data ERA-40 for the period 1958–1998. Simulations over 4 decades, carried out with a horizontal resolution of 50 km, deliver a realistic simulation of the Antarctic atmospheric circulation, synoptic-scale pressure systems, and the spatial distribution of precipitation minus sublimation (P-E) structures. The simulated P-E pattern is in qualitative agreement with glaciological estimates. The estimated (P-E) trends demonstrate surfacemass accumulation increase at the West Antarctic coasts and reductions in parts of East Antarctica. The influence of the Antarctic Oscillation (AAO) on the near-surface climate and the surface mass accumulation over Antarctica have been investigated on the basis of ERA-40 data and HIRHAM simulations. It is shown that the regional accumulation changes are largely driven by changes in the transient activity around the Antarctic coasts due to the varying AAO phases. During positive AAO, more transient pressure systems travelling towards the continent, and Western Antarctica and parts of South-Eastern Antarctica gain more precipitation and mass. Over central Antarctica the prevailing anticyclone causes a strengthening of polar desertification connected with a reduced surface mass balance in the northern part of East Antarctica.
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Bromwich, David H. "Estimates of Antarctic precipitation." Nature 343, no. 6259 (February 1990): 627–29. http://dx.doi.org/10.1038/343627a0.
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Genthon, Christophe, Gerhard Krinner, and Michel Déqué. "Intra-annual variability of Antarctic precipitation from weather forecasts and high-resolution climate models." Annals of Glaciology 27 (1998): 488–94. http://dx.doi.org/10.3189/1998aog27-1-488-494.
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The intra-annual variability of Antarctic precipitation from the European Centre for Medium-range Weather Forecasts short-term meteorological forecasts and from climate simulations by the ARPÈGE and LMD-Zoom general circulation models is presented and discussed. The spatial resolution of forecasts and simulations is high over the Antarctic region, about 100 km, so that the impact of topography and small-scale atmospheric dynamics are better resolved than with more conventional model grids (about 300 km). All the models and forecasts show that the seasonality of precipitation is spatially very variable. Meridional coast-to-interior contrasts are marked, but equally strong variations are unexpectedly found where more homogeneity might be expected because of the homogeneity of the environment, e.g. on the high Antarctic plateau. Neither the forecasts nor the simulations confirm that precipitation is mostly maximum in winter over much of East Antarctica as suggested by scarce and potentially unreliable observations (Bromwich, 1988). Spring and fall maxima are quite frequent too, though summer maxima are rare. Daily precipitation statistics show more spatial pattern, with increasingly infrequent precipitation as distance from the coast toward the interior of the ice sheet increases Several aspects of the intra-annual variability of precipitation can be interpreted in terms of atmospheric dynamics, but at both daily and seasonal time-scales the different forecasts and climate simulations often locally and regionally disagree with each other. Discrimination between models and their ability to reproduce the dynamics of Antarctic hydrology, and progress on simulating such aspects of the Antarctic climate, is limited by the lack of reliable observation of precipitation variability.
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Genthon, Christophe, Alexis Berne, Jacopo Grazioli, Claudio Durán Alarcón, Christophe Praz, and Brice Boudevillain. "Precipitation at Dumont d'Urville, Adélie Land, East Antarctica: the APRES3 field campaigns dataset." Earth System Science Data 10, no. 3 (September 6, 2018): 1605–12. http://dx.doi.org/10.5194/essd-10-1605-2018.
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Abstract. Compared to the other continents and lands, Antarctica suffers from a severe shortage of in situ observations of precipitation. APRES3 (Antarctic Precipitation, Remote Sensing from Surface and Space) is a program dedicated to improving the observation of Antarctic precipitation, both from the surface and from space, to assess climatologies and evaluate and ameliorate meteorological and climate models. A field measurement campaign was deployed at Dumont d'Urville station at the coast of Adélie Land in Antarctica, with an intensive observation period from November 2015 to February 2016 using X-band and K-band radars, a snow gauge, snowflake cameras and a disdrometer, followed by continuous radar monitoring through 2016 and beyond. Among other results, the observations show that a significant fraction of precipitation sublimates in a dry surface katabatic layer before it reaches and accumulates at the surface, a result derived from profiling radar measurements. While the bulk of the data analyses and scientific results are published in specialized journals, this paper provides a compact description of the dataset now archived in the PANGAEA data repository (https://www.pangaea.de, https://doi.org/10.1594/PANGAEA.883562) and made open to the scientific community to further its exploitation for Antarctic meteorology and climate research purposes.
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Guo, Zhichang, David H. Bromwich, and Keith M. Hines. "Modeled Antarctic Precipitation. Part II: ENSO Modulation over West Antarctica*." Journal of Climate 17, no. 3 (February 2004): 448–65. http://dx.doi.org/10.1175/1520-0442(2004)017<0448:mappie>2.0.co;2.
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Genthon, C., G. Krinner, and H. Castebrunet. "Antarctic precipitation and climate-change predictions: horizontal resolution and margin vs plateau issues." Annals of Glaciology 50, no. 50 (2009): 55–60. http://dx.doi.org/10.3189/172756409787769681.
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AbstractAll climate models participating in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, as made available by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) as the Coupled Model Intercomparison Project 3 (CMIP3) archive, predict a significant surface warming of Antarctica by the end of the 21st century under a moderate (SRESA1B) greenhouse-gas scenario. All models but one predict a concurrent precipitation increase but with a large scatter of results. The models with finer horizontal resolution tend to predict a larger precipitation increase. Because modeled Antarctic surface mass balance is known to be sensitive to horizontal resolution, extrapolating predictions from the different models with respect to model resolution may provide simple yet better multi-model estimates of Antarctic precipitation change than mere averaging or even more complex approaches. Using such extrapolation, a conservative estimate of the predicted precipitation increase at the end of the 21st century is +30 kg m–2 a–1 on the grounded ice sheet, corresponding to a >1m ma–1 sea-level rise. About three-quarters of this rise originates from the marginal regions of the Antarctic ice sheet with surface elevation below 2250 m. This is where field programs are most urgently needed to better understand and monitor accumulation at the surface of Antarctica, and to improve and verify prediction models.
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Rodehacke, Christian B., Madlene Pfeiffer, Tido Semmler, Özgür Gurses, and Thomas Kleiner. "Future sea level contribution from Antarctica inferred from CMIP5 model forcing and its dependence on precipitation ansatz." Earth System Dynamics 11, no. 4 (December 16, 2020): 1153–94. http://dx.doi.org/10.5194/esd-11-1153-2020.
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Abstract. Various observational estimates indicate growing mass loss at Antarctica's margins as well as heavier precipitation across the continent. Simulated future projections reveal that heavier precipitation, falling on Antarctica, may counteract amplified iceberg discharge and increased basal melting of floating ice shelves driven by a warming ocean. Here, we test how the ansatz (implementation in a mathematical framework) of the precipitation boundary condition shapes Antarctica's sea level contribution in an ensemble of ice sheet simulations. We test two precipitation conditions: we either apply the precipitation anomalies from CMIP5 models directly or scale the precipitation by the air temperature anomalies from the CMIP5 models. In the scaling approach, it is common to use a relative precipitation increment per degree warming as an invariant scaling constant. We use future climate projections from nine CMIP5 models, ranging from strong mitigation efforts to business-as-usual scenarios, to perform simulations from 1850 to 5000. We take advantage of individual climate projections by exploiting their full temporal and spatial structure. The CMIP5 projections beyond 2100 are prolonged with reiterated forcing that includes decadal variability; hence, our study may underestimate ice loss after 2100. In contrast to various former studies that apply an evolving temporal forcing that is spatially averaged across the entire Antarctic Ice Sheet, our simulations consider the spatial structure in the forcing stemming from various climate patterns. This fundamental difference reproduces regions of decreasing precipitation despite general warming. Regardless of the boundary and forcing conditions applied, our ensemble study suggests that some areas, such as the glaciers from the West Antarctic Ice Sheet draining into the Amundsen Sea, will lose ice in the future. In general, the simulated ice sheet thickness grows along the coast, where incoming storms deliver topographically controlled precipitation. In this region, the ice thickness differences are largest between the applied precipitation methods. On average, Antarctica shrinks for all future scenarios if the air temperature anomalies scale the precipitation. In contrast, Antarctica gains mass in our simulations if we apply the simulated precipitation anomalies directly. The analysis reveals that the mean scaling inferred from climate models is larger than the commonly used values deduced from ice cores; moreover, it varies spatially: the highest scaling is across the East Antarctic Ice Sheet, and the lowest scaling is around the Siple Coast, east of the Ross Ice Shelf. The discrepancies in response to both precipitation ansatzes illustrate the principal uncertainty in projections of Antarctica's sea level contribution.
Dissertations / Theses on the topic "Antarctic precipitation"
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Guo, Zhichang. "Spatial and temporal variability of modern Antarctic precipitation /." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu148640228826226.
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Monaghan, Andrew J. "Recent variability and trends in antarctic snowfall accumulation and near-surface air temperature." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1173210638.
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Bracci, Alessandro. "Analysis of precipitation from ground observations over the Antarctic coast." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16875/.
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The primary mass input of the Antarctic ice sheet is represented by snow precipitation. Despite of their crucial role, the estimates of precipitation over Antarctica are sparse and characterized by large uncertainties. Recently, the Italian Mario Zucchelli station (MZS) at Terra Nova Bay was equipped with instruments for monitoring precipitation. This thesis is part of the APP-PNRA project (Antarctic precipitation properties from ground-based instruments), whose object is to set up an observatory to characterize precipitation at MZS.
The present study was focused on the evaluation of the response of solid hydrometeors to the electromagnetic radiation and on the microphysical characterization of precipitation.
The former was investigated using a pre-computed discrete dipole approximation (DDA) database for complex-shape snowflakes and a T-Matrix code for soft-spheroids. The backscattering cross sections, calculated at the K-band by the two methods, were compared. In case of aggregate particles the methods show a poor agreement, comparable values were found when pristine crystals were considered.
The latter was examined through in-situ observations by a Parsivel disdrometer and Micro Rain Radar. By exploiting the Parsivel data collected during the summer seasons 2016-17 and 2017-18, the particle size distributions (PSD) of hydrometeors were derived, showing a high number of particles with very small diameter. Numerical simulations, driven by DDA and T-Matrix, were also performed by using the PSDs, to obtain the simulated radar reflectivity. The comparative analysis of simulated and actual reflectivity allowed inferring microphysical characterization of precipitation. Based on this methodology, 16 out of 22 snow days were categorized: 6 as having aggregate-like features and 10 as pristine crystal-like.
These results will be of practical interest, giving an important contribution toward a more accurate quantification of snow accumulation in Antarctica.
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Durán, Alárcon Claudio. "Ground-based remote sensing of Antarctic and Alpine solid precipitation." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAU024/document.
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Les précipitations solides jouent un rôle crucial dans le système climatique terrestre, ainsi que dans le maintien des écosystèmes et le développement des activités humaines. Les incertitudes associées aux estimations quantitatives des précipitations ainsi que celles concernant les projections des modèles climatiques font de cette composante du cycle hydrologique un sujet de recherche important. La télédétection permet de suivre les précipitations et les nuages dans des régions où les observations in situ sont rares et dispersées, mais avec une résolution temporelle limitée ainsi qu’une zone aveugle près du sol pour les capteurs spatiaux, et une visibilité limitée dans la basse atmosphère en terrain complexe pour les radars au sol. Les objectifs de cette thèse sont les suivants : 1) caractériser les nuages et les précipitations en Antarctique, en détectant la présence d’eau liquide surfondue et de particules de glace près du sol à l'aide d'un lidar 532-nm, polarisé, au sol ; 2) caractériser la structure verticale des précipitations dans deux régions contrastées mais importantes de la cryosphère, l’Antarctique et les Alpes, dans la basse troposphère, en utilisant des radars au sol.Dans cette étude, une méthode de détection des hydrométéores dans les nuages et les précipitations est proposée à l'aide de données lidar complétées par celles d’un <> (MRR) en bande K pour améliorer la détection des précipitations, ces deux instruments étant déployés à la station Dumont d'Urville (DDU) en Antarctique de l’Est. Une méthode fondée sur le facteur de dépolarisation lidar, le coefficient de rétrodiffusion atténué et l'utilisation d’un partitionnement en k-moyennes est développée. La classification des particules des nuages et des précipitations permet de documenter la distribution verticale de l'eau liquide surfondue, ainsi que des particules de glace sous différentes formes. La comparaison entre les classifications obtenues depuis le sol et celles obtenues à partir des données satellitaires montre des formes similaires pour la distribution verticale de l'eau liquide surfondue dans les nuages.La structure verticale des précipitations près de la surface est analysée à l'aide des moments Doppler obtenus à partir de trois MRRs situés à DDU, à la station Princess Elisabeth (PE) à l'intérieur de l'Antarctique de l’Est, et à la station du Col de Porte (CDP) dans les Alpes françaises. Ces analyses montrent que le climat local joue un rôle important dans la structure verticale des précipitations. En Antarctique, les forts vents catabatiques soufflant du haut plateau jusqu'à la côte diminuent le facteur de réflectivité radar près de la surface en raison de la sublimation des flocons de neige. Les moments Doppler fournissent aussi de riches informations pour comprendre les processus liés aux précipitations, tels que l'agrégation et le givrage, observés notamment à DDU et au Col de Porte.Les résultats montrent également qu'à l'intérieur du continent Antarctique, une partie significative (47%) des profils de précipitations présentent une sublimation complète avant la surface en raison des conditions atmosphériques sèches, alors que sur la côte de l'Antarctique, cela ne concerne qu’environ un tiers des profils (36%). Dans les Alpes, ce pourcentage est réduit à 15%. La majeure partie de la sublimation est observée en dessous de l'altitude où les profils de CloudSat sont contaminés par la proximité du sol. Par conséquent, ce phénomène ne peut pas être entièrement décelé depuis l'espace avec les capteurs actuels.Cette thèse contribue à l'étude de la structure verticale des précipitations neigeuses dans la basse troposphère ; elle est utile pour l'évaluation des produits de télédétection concernant les précipitations qui peuvent présenter de fortes limitations à la proximité de la surfaceSolid precipitation plays an important role in the Earth's climate system, as well as for the maintenance of ecosystems and the development of human society. The large uncertainty in precipitation estimates and the discrepancies within climate model projections make this component of the hydrological cycle important as a research topic. Remote sensing allows to monitor precipitation and clouds in regions where in-situ observations are scarce and scattered, but with limited temporal resolution and a blind zone close to the ground level for spaceborne sensors, and limited visibility in the lower atmosphere in complex terrain for ground-based radars. The objectives of this dissertation are the following: 1) to characterize cloud and precipitation in Antarctica, detecting the presence of supercooled liquid and ice particles near the ground level using a ground-based 532-nm depolarization lidar; 2) to characterize the vertical structure of the precipitation in two contrasted but important regions of the cryosphere, Antarctica and the Alps, in the low troposphere using ground-based radars.In this study, a cloud and precipitation hydrometeor detection method is proposed using lidar data, complemented with a K-band micro rain radar (MRR) to improve the detection of precipitation, both instruments deployed at the Dumont d'Urville (DDU) station in East Antarctica. A method based on lidar depolarization and attenuated backscattering coefficient and the use of k-means clustering is developed for the particle classification. The classification of cloud and precipitation particles provides the vertical distribution of supercooled liquid water, as well as planar oriented ice and randomly oriented ice particles. The comparison between ground-based and satellite-derived classifications shows consistent patterns for the vertical distribution of supercooled liquid water in clouds.The vertical structure of precipitation near the surface is analyzed using the Doppler moments derived from three MRR profiles at DDU, the Princess Elisabeth (PE) station, at the interior of East Antarctica, and at the Col de Porte (CDP) station, in the French Alps. These analyses demonstrate that local climate plays an important role in the vertical structure of the precipitation. In Antarctica, the strong katabatic winds blowing from the high plateau down to the coast decrease the radar reflectivity factor near the surface due to the sublimation of the snowfall particles. Doppler moments also provide rich information to understand precipitation processes, such as aggregation and riming, as observed at DDU and CDP.The results also show that in the interior of the Antarctic continent a significant part (47%) of the precipitation profiles completely sublimate before reaching the surface, due to the dry atmospheric conditions, while in the coast of Antarctica it corresponds to about the third part (36%). In the Alps, this percentage is reduced to 15%. The major occurrence of particle sublimation is observed below the altitude where CloudSat profiles are contaminated by ground clutter. Therefore, this phenomenon cannot be fully captured from space with the current generation of sensors.This dissertation contributes to the study of the vertical structure of snowfall in the low troposphere, useful for the evaluation of precipitation remote sensing products, which may have severe limitations in the vicinity of the surface
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Russell, Andrew. "Southern Hemisphere atmospheric circulation impacts on eastern Antarctic Peninsular precipitation." Thesis, University of Birmingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419512.
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Lisa, Martin. "Satellite mapping of particle precipitation effects on the Antarctic middle atmosphere." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for fysikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12711.
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The aim of this thesis is to study the effects of particle precipitation on O3 and OH caused by a moderate geomagnetic storm in late July 2009. The basis is data retrieved over Antarctica from the Odin and Aura satellites for an eleven day period. Vertical profiles were extracted from scans at the limb every 165 Km (Aura) and 500 Km (Odin) covering latitudes on the SH extending to 82 S.Geographical variability of O3 and sparse satellite coverage made it difficult to observe storm effects on a latitudinal/longitudinal scale. Zonal means post-storm show a considerable drop of ozone (30-50 %) below 80 Km, and a distinct increase (50 %) at altitudes above 80 Km.Comparison of the zonal means of O3 and OH reveal high concordance between areas of rising hydroxyl and areas of ozone depletion, suggesting that the increase of OH production during the storm is the main cause of O3 depletion. The extent of the O3 and OH changes occur from geomagnetic latitudes greater than 60 S and extend into the polar regions.The zonal means indicate that the OH causes the initial O3 loss, and then hydroxyl disappears rapidly. The O3 remains depleted for four days descending in the polar vortex suggesting contribution from other species (NOx). Time series binned around geomagnetic latitude 62 S were compared with ground-based microwave observations from the Troll station, Antarctica. The two data sets are consistent, showing ozone losses in the order 30-50 % and a gradual poleward descent of this depletion.
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Walther, Connie. "Atmospheric Circulation in Antarctica." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199278.
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Validation of the Regional Climate Model HIRHAM with measurements, especially from radiosondes and GPS-signal-retrieval. Analysis of synoptical structures in Antarctica and comparison of the precipitation in different phases of the Antarctic Oscillation.
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Palerme, Cyril. "Etude des précipitations en Antarctique par télédétection radar, mesures in-situ, et intercomparaison de modèles de climat." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENU046/document.
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Au cours du XXIème siècle, une augmentation des précipitations est attendue dans les régions polaires. En Antarctique, cette augmentation devrait se traduire par une accumulation de neige sur le continent, contribuant ainsi positivement au bilan de masse de la calotte polaire, et par conséquent négativement au niveau des mers. Les modèles utilisés pour simuler le climat du XXIème siècle prédisent presque tous une augmentation des précipitations en Antarctique, mais l'importance de ce changement diffère fortement d'un modèle à l'autre. De plus, les taux de précipitation actuels reproduits par ces mêmes modèles divergent également beaucoup. Cependant, faute d'observation fiable de précipitation en Antarctique, il était jusqu'à présent difficile de vérifier la capacité des modèles à simuler ces dernières. Dans cette étude, les données issues du radar météorologique embarqué à bord du satellite CloudSat ont été utilisées afin de produire la première climatologie de précipitation en Antarctique à partir d'observations. Cette climatologie couvre la période août 2006 - avril 2011, et a montré de très bons accords avec les réanalyses ERA Interim qui n'utilisent pas d'observations issues de CloudSat. Le taux de chute de neige obtenu avec CloudSat sur le continent Antarctique jusqu'à 82°S est en moyenne de 171 mm/an. L'automne austral est la saison avec les chutes de neige les plus importantes, et le printemps austral, la saison avec les chutes de neige les plus faibles. Par ailleurs, une expérience de mesure in-situ des précipitations a été développée sur la base de Dumont d'Urville en Antarctique, des observations in-situ étant nécessaires à la validation des algorithmes de télédétection. Un système de profilage utilisant des capteurs optiques a été installé sur un mât de 73 m afin d'identifier les chutes de neige et les évènements de transport de neige par le vent. Les flux de neige mesurés à différentes hauteurs devraient être similaires lors de chute de neige sans transport de neige, alors qu'un gradient devrait apparaître si de la neige est transportée depuis la surface. Le système a été évalué et comparé aux analyses opérationnelles d'ECMWF. Enfin, les simulations des modèles de climat utilisés pour la production du rapport du GIEC ont été comparées aux observations satellites obtenues. Tous les modèles simulent un taux de chute de neige supérieur à celui observé avec CloudSat. Le changement de précipitation en Antarctique durant le XXIème siècle simulé varie de -6.0 % à +39.4 % en fonction des modèles et des scénarios d'émission de gaz à effet de serre. Les modèles de climat simulant des taux de chute de neige proches de ceux observés par satellite pour la période actuelle prédisent en moyenne un changement plus important de précipitation au cours du XXIème siècle, et donc un impact sur le niveau des mers plus conséquentDuring the 21st century, precipitation is expected to increase in polar regions. In Antarctica, this would lead to an increase in snow accumulation over the continent, which would represent a positive contribution to the ice sheet mass balance, and thus a negative contribution to sea level. Almost all the climate models predict a precipitation increase in Antarctica during the 21st century, but this change differs widely according to the models. Moreover, the current precipitation rate simulated by these models diverge greatly. However, because no reliable observation of Antarctic precipitation was available so far, it was not possible to benchmark climate models. In this study, data from the cloud profiling radar onboard CloudSat satellite have been used to produce the first climatology of Antarctic precipitation from observations. This climatology agrees well with ERA Interim reanalysis, the production of which is constrained by various in situ and satellite observations, but does not use any data from CloudSat. The mean snowfall rate from CloudSat observations is 171 mm/an over the Antarctic ice sheet, north of 82°S. The maximum snowfall rate is observed during the fall, while the minimum snowfall rate occurs in spring. Because in-situ measurements are necessary to evaluate remote sensing observations, a field experiment has been developed at Dumont d'Urville station in Antarctica for measuring precipitation. Optical sensors have been set up at different levels on a 73-meter tower in order to separate snowfall from blowing snow events. Snow flux measured at different heights should be similar during snowfall without blowing snow, whereas a gradient shoud be observed if blowing snow occurs. The system has been evaluated and compared to the ECMWF operational analysis. Finally, simulations from the climate models used for the last IPCC report have been compared to the new satellite climatology. All the models produce a higher snowfall rate than the snowfall observed with CloudSat. Precipitation increase predicted in Antarctica varies from -6.0 % to +39.4 % according to the models and the greenhouse gas emissions scenarios.Climate models which reproduce a current snowfall rate close to the snowfall rate observed by satellite predict on average a larger increase in Antarctic precipitation during the 21st century, and thus a stronger impact on sea level
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Fujita, Koji, 耕史 藤田, and Osamu Abe. "Stable isotopes in daily precipitation at Dome Fuji, East Antarctica." American Geophysical Union, 2006. http://hdl.handle.net/2237/11358.
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Wait, Briar Robyn. "Seasonal Extremes in Meltwater Chemistry at Bratina Island (Antarctica): Physical & Biogeochemical Drivers Of Compositional Change." Thesis, University of Canterbury. Gateway Antarctica, 2011. http://hdl.handle.net/10092/6006.
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In order to understand and predict the geochemical conditions in Antarctic meltwater ponds during winter, the geochemical extremes in Bratina Island meltwater ponds over a seasonal cycle were determined and compositional variation related to key physical, chemical and biological processes.
A high resolution record of vertical temperature gradients in Skua Pond during freezing, winter and thaw, highlighted a significant seasonal temperature variation (10.3˚C to -41.8˚C) driven by air temperatures and the release of latent heat of fusion. A conceptual model of freeze-thaw involved heterogeneous melting, and explained how the presence of an ice plug near the base of the pond supports the strong chemical stratification observed, which can persist throughout summer.
The geochemistry of Bratina Island meltwater ponds was shown to be catchment specific with correlation between geochemical parameters within ponds, but not between ponds. Basal brines that develop during freezing were nearer in composition to the brines preserved during summer, than to those present immediately post-melting. This is due to mineral precipitation during winter removing selected dissolved ions. Therefore winter brine predictions should be based on mid-late summer conditions, and allow for existing geochemical stratification. Nutrient concentrations were vertically stratified, by the same physical processes controlling major ion concentrations. However, the relatively low nutrient concentrations meant that biological processes exerted little influence over winter brine geochemistry.
FREZCHEM62 modeled winter brine compositions were consistent with those of brines present during progressive freezing. Predicted mineral precipitation was also consistent with the presence of halite (NaCl), mirabilite (Na₂SO₄.10H₂O), thenardite (Na₂SO₄), magnesite (MgCO₃), gypsum (CaSO₄), sodium carbonate (NaCO₃) and calcite (CaCO₃) in pond sediments. FREZCHEM62 can therefore be used with confidence to predict winter conditions, as long as a reliable initial bulk pond water composition is calculated, and limitations, such as the over-prediction of carbonate mineral formation, are borne in mind.
Books on the topic "Antarctic precipitation"
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Rauen, Constance Darlene. Inorganic chemistry of precipitation near Palmer Station, Antarctica. 1988.
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Benestad, Rasmus. Climate in the Barents Region. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.655.
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The Barents Sea is a region of the Arctic Ocean named after one of its first known explorers (1594–1597), Willem Barentsz from the Netherlands, although there are accounts of earlier explorations: the Norwegian seafarer Ottar rounded the northern tip of Europe and explored the Barents and White Seas between 870 and 890 ce, a journey followed by a number of Norsemen; Pomors hunted seals and walruses in the region; and Novgorodian merchants engaged in the fur trade. These seafarers were probably the first to accumulate knowledge about the nature of sea ice in the Barents region; however, scientific expeditions and the exploration of the climate of the region had to wait until the invention and employment of scientific instruments such as the thermometer and barometer. Most of the early exploration involved mapping the land and the sea ice and making geographical observations. There were also many unsuccessful attempts to use the Northeast Passage to reach the Bering Strait. The first scientific expeditions involved F. P. Litke (1821±1824), P. K. Pakhtusov (1834±1835), A. K. Tsivol’ka (1837±1839), and Henrik Mohn (1876–1878), who recorded oceanographic, ice, and meteorological conditions.The scientific study of the Barents region and its climate has been spearheaded by a number of campaigns. There were four generations of the International Polar Year (IPY): 1882–1883, 1932–1933, 1957–1958, and 2007–2008. A British polar campaign was launched in July 1945 with Antarctic operations administered by the Colonial Office, renamed as the Falkland Islands Dependencies Survey (FIDS); it included a scientific bureau by 1950. It was rebranded as the British Antarctic Survey (BAS) in 1962 (British Antarctic Survey History leaflet). While BAS had its initial emphasis on the Antarctic, it has also been involved in science projects in the Barents region. The most dedicated mission to the Arctic and the Barents region has been the Arctic Monitoring and Assessment Programme (AMAP), which has commissioned a series of reports on the Arctic climate: the Arctic Climate Impact Assessment (ACIA) report, the Snow Water Ice and Permafrost in the Arctic (SWIPA) report, and the Adaptive Actions in a Changing Arctic (AACA) report.The climate of the Barents Sea is strongly influenced by the warm waters from the Norwegian current bringing heat from the subtropical North Atlantic. The region is 10°C–15°C warmer than the average temperature on the same latitude, and a large part of the Barents Sea is open water even in winter. It is roughly bounded by the Svalbard archipelago, northern Fennoscandia, the Kanin Peninsula, Kolguyev Island, Novaya Zemlya, and Franz Josef Land, and is a shallow ocean basin which constrains physical processes such as currents and convection. To the west, the Greenland Sea forms a buffer region with some of the strongest temperature gradients on earth between Iceland and Greenland. The combination of a strong temperature gradient and westerlies influences air pressure, wind patterns, and storm tracks. The strong temperature contrast between sea ice and open water in the northern part sets the stage for polar lows, as well as heat and moisture exchange between ocean and atmosphere. Glaciers on the Arctic islands generate icebergs, which may drift in the Barents Sea subject to wind and ocean currents.The land encircling the Barents Sea includes regions with permafrost and tundra. Precipitation comes mainly from synoptic storms and weather fronts; it falls as snow in the winter and rain in the summer. The land area is snow-covered in winter, and rivers in the region drain the rainwater and meltwater into the Barents Sea. Pronounced natural variations in the seasonal weather statistics can be linked to variations in the polar jet stream and Rossby waves, which result in a clustering of storm activity, blocking high-pressure systems. The Barents region is subject to rapid climate change due to a “polar amplification,” and observations from Svalbard suggest that the past warming trend ranks among the strongest recorded on earth. The regional change is reinforced by a number of feedback effects, such as receding sea-ice cover and influx of mild moist air from the south.
Book chapters on the topic "Antarctic precipitation"
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Delmas, Robert J. "Antarctic Precipitation Chemistry." In Chemistry of Multiphase Atmospheric Systems, 249–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70627-1_10.
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Bromwich, David H., and Aric N. Rogers. "The El Niño-Southern Oscillation Modulation of West Antarctic Precipitation." In The West Antarctic Ice Sheet: Behavior and Environment, 91–103. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/ar077p0091.
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Reeh, N. "Past Changes in Precipitation Rate and Ice Thickness as Derived from Age — Depth Profiles in Ice-Sheets; Application to Greenland and Canadian Arctic Ice Core Records." In Geological History of the Polar Oceans: Arctic versus Antarctic, 255–71. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2029-3_14.
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Herman, John R. "Precipitation Static and Electrical Properties of Blowing Snow at Byrd Station, Antarctica." In Geomagnetism and Aeronomy: Studies in the Ionosphere, Geomagnetism and Atmospheric Radio Noise, 221–36. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/ar004p0221.
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Greenland, David. "An LTER Network Overview and Introduction to El Niño–Southern Oscillation (ENSO) Climatic Signal and Response." In Climate Variability and Ecosystem Response in Long-Term Ecological Research Sites. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195150599.003.0015.
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Part II of this book deals with the quasi-quintennial timescale that is dominated by the El Niño–Southern Oscillation (ENSO) phenomenon. During the last 50 years, ENSO has operated with a recurrence interval between peak values of 2–7 years. The term quasi-quintennial is chosen to recognize that climatic events other than ENSO-related ones might occur at this timescale. The general significance of the ENSO phenomenon lies in its influence on natural and human ecosystems. It has been estimated that severe El Niño–related flooding and droughts in Africa, Latin America, North America, and Southeast Asia resulted in more than 22,000 lives lost and more than $36 billion in damages during 1997– 1998 (Buizer et al. 2000). The specific significance of ENSO within the context of this book is that it provides fairly well-bounded climatic events for which specific ecological responses may be identified. In the other chapters in part II, we first look at the U.S. Southwest. The Southwest is home to an urban LTER site, the Central Arizona-Phoenix (CAP) site. Tony Brazel and Andrew Ellis describe the clear ENSO climatic signal at this site and identify surprising responses that cascade into the human/economic system. Ray Smith, Bill Fraser, and Sharon Stammerjohn provide more details of the fascinating ecological responses of the Palmer Antarctic ecosystem to ENSO. World maps of ENSO climatic signals do not usually show the Antarctic, and the LTER program provides some groundbreaking results at this location, with Smith and coworkers (see the Synthesis at the end of this part) providing such maps (figures S.1 and S.2). Kathy Welch and her colleagues present equally new discoveries related to freshwater aquatic ecosystems from the other Antarctic LTER site at the McMurdo Dry Valleys. This chapter gives a general introduction to ENSO and its climatic effects. How ever, these general patterns may mask the detailed responses that occur at individual locations. This is one reason for presenting the principal results of previous findings related to El Niños and LTER sites and one particular analysis focused on LTER sites. This analysis for the period 1957–1990 investigates the response of monthly mean temperature and monthly total precipitation standardized anomaly values to El Niño and La Niña events as indicated by the Southern Oscillation Index (SOI) (Greenland 1999).
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Hinkel, Kenneth M., and Andrew W. Ellis. "Cryosphere." In Geography in America at the Dawn of the 21st Century. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198233923.003.0013.
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The cryosphere refers to the Earth’s frozen realm. As such, it includes the 10 percent of the terrestrial surface covered by ice sheets and glaciers, an additional 14 percent characterized by permafrost and/or periglacial processes, and those regions affected by ephemeral and permanent snow cover and sea ice. Although glaciers and permafrost are confined to high latitudes or altitudes, areas seasonally affected by snow cover and sea ice occupy a large portion of Earth’s surface area and have strong spatiotemporal characteristics. Considerable scientific attention has focused on the cryosphere in the past decade. Results from 2 ×CO2 General Circulation Models (GCMs) consistently predict enhanced warming at high latitudes, especially over land (Fitzharris 1996). Since a large volume of ground and surface ice is currently within several degrees of its melting temperature, the cryospheric system is particularly vulnerable to the effects of regional warming. The Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) states that there is strong evidence of Arctic air temperature warming over land by as much as 5 °C during the past century (Anisimov et al. 2001). Further, sea-ice extent and thickness has recently decreased, permafrost has generally warmed, spring snow extent over Eurasia has been reduced, and there has been a general warming trend in the Antarctic (e.g. Serreze et al. 2000). Most climate models project a sustained warming and increase in precipitation in these regions over the twenty-first century. Projected impacts include melting of ice sheets and glaciers with consequent increase in sea level, possible collapse of the Antarctic ice shelves, substantial loss of Arctic Ocean sea ice, and thawing of permafrost terrain. Such rapid responses would likely have a substantial impact on marine and terrestrial biota, with attendant disruption of indigenous human communities and infrastructure. Further, such changes can trigger positive feedback effects that influence global climate. For example, melting of organic-rich permafrost and widespread decomposition of peatlands might enhance CO2 and CH4 efflux to the atmosphere. Cryospheric researchers are therefore involved in monitoring and documenting changes in an effort to separate the natural variability from that induced or enhanced by human activity.
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Smith, Raymond C. "Introductory Overview." In Climate Variability and Ecosystem Response in Long-Term Ecological Research Sites. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195150599.003.0014.
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The El Niño–Southern Oscillation (ENSO) is a coupled ocean–atmosphere phenomena that has a worldwide impact on climate. An aperiodic phenomena that reoccurs every 2 to 7 years, the ENSO is second only to seasonal variability in driving worldwide weather patterns. As Greenland notes in chapter 6, the term “quasi-quintennial” is chosen to recognize that climatic events other than ENSO-related events might occur at this timescale, although it is widely recognized that ENSO contributes the lion’s share of the higher frequency variability in paleorecords of the past several thousand years. In this section, we consider variability with cycles of 2 to 7 years and the resulting ecological response. Although we emphasize the ENSO timescale in this section, there is growing evidence that this phenomena is neither spatially nor temporally stable over longer time periods. Indeed, Allan (2000) suggests the ENSO climatic variability must be viewed within the context of climate fluctuations at decadal to interdecadal timescales, which often modulate the higher frequency ENSO variability. As a consequence, results in this and the next section often display overlapping patterns of variability, and their separation is not sharply defined. An important theme in this section is the worldwide influence of ENSO-related climate variability. Greenland (chapter 6) provides an LTER network overview with an analysis of ENSO-related variability of temperature and precipitation records for many LTER sites from the Arctic to the Antarctic. He discusses the general nature of ENSO and its climatic effects, summarizes previous climate-related work in the LTER network, and provides a cross-site analysis of the correlations between the Southern Oscillation Index (SOI) and temperature and precipitation at LTER sites. His results are consistent with the expected patterns of the geography of ENSO effects on the climate. Greenland’s cross-site analysis provides the basis for studying climate variability and ecosystem response within the context of the series of framework questions that form an underlying theme for this volume. Brazel and Ellis (chapter 7) provide an excellent analysis of climate-related parameters within the context of ENSO indices. Reporting on the Central Arizona and Phoenix (CAP) LTER urban-rural ecosystem, these authors provide a comprehensive analysis linking water-related parameters to climate forcing, as indicated by these indexes. Their studies show a strong connection between ENSO and winter moisture in Arizona, perhaps making it possible to forecast impending conditions.
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Criss, Robert E. "Isotope Hydrology." In Principles of Stable Isotope Distribution. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195117752.003.0005.
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No substance exemplifies the principles of isotope distribution better than water. Water is practically ubiquitous at the Earth’s surface, where it undergoes phase transitions, interacts with minerals and the atmosphere, and participates in complex metabolic processes essential to life. The isotopes of hydrogen and oxygen undergo large fractionations during these processes, providing a multiple isotopic tracer record of diverse phenomena. In the hydrologic cycle, hydrogen and oxygen isotope ratios provide conservative tracers, uniquely intrinsic to the water molecule, that elucidate the origin, phase transitions, and transport of H2O. In particular, the isotope data associated with these processes are amenable to theoretical modeling using the laws of physical chemistry. The characteristics of the principal reservoirs of natural waters on Earth are provided in the following sections. The distinct characters of these different reservoirs are very clearly shown on graphs where the δD values are plotted against those of δ18O. The oceans constitute 97.25% of the hydrosphere, cover 70% of the Earth’s surface to a mean depth of 3.8 km, and have an enormous total volume of 1.37 × 109 km3. This large reservoir has strikingly uniform isotopic concentrations, with almost all samples having δ18O = 0 ± 1 and δD = 0 ± 5 per mil relative to SMOW (Craig and Gordon, 1965). Values outside these ranges are almost invariably confined to surface waters that have salinities that differ from the normal value of 3.5 wt. %. These varations are generally attributable to evaporation, formation of sea ice, or addition of meteoric precipitation that may occur by direct rainfall, by river inflow, or by melting of icebergs. The latter effect was clearly documented by Epstein and Mayeda (1953) in the surface waters of the North Atlantic, where the isotopic variations were strongly correlated with variations in salinity. In detail, the deep waters of different ocean basins have distinct values of δ18O and salinity. Thus, the δ18O values of deep waters from the North Atlantic (ca. +0.05‰), Pacific (-0.15‰), and Antarctic (-0.40‰) oceans are distinct, and careful measurements can be used to infer details of oceanic circulation patterns (Craig and Gordon, 1965).
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Maun, M. Anwar. "Geomorphology." In The Biology of Coastal Sand Dunes. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780198570356.003.0006.
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Geomorphology is the study of form and structure of sand dunes. Dunes are found in three types of landscapes: sea coasts and lakeshores, river valleys, and arid regions. Coastal dunes are formed along coasts in areas above the high water mark of sandy beaches. They occur in both the northern and southern hemi sphere from the Arctic and Antarctic to the equator, and in arid and semi-arid regions. They are very common in temperate climates but are less frequent in tropical and subtropical coasts. Dunes are also common around river mouths where the sand carried in water is deposited (Carter et al. 1990b). During floods rivers overflow their banks and deposit sand in river valleys that is subsequently dried by wind and shaped into dunes. In dry regions with less than 200 mm of precipitation per year, the weathering of sandstone and other rocks produce sand that is subject to mass movement by wind because of sparsity of vegetation. There are many similarities in processes and patterns of dune form and structure among these three systems, however each location has its own unique features. In this chapter the emphasis will be on the geomorphology of dune systems along the coasts of oceans and lakes. Coastal geomorphologists have been attempting to classify the coastal land forms but they defy a simple classification because of tremendous variability in plant taxa, sand texture, wind velocity, climate, sand supply, coastal wave energy and biotic influences including human impact. According to Carter et al. (1990b) the great variety of coastal land forms around the world is primarily related to sediment availability, climate, wave energy, wind regime and types of vegetation. Classification based on these criteria would be more useful in distinguishing between shoreline dune forms than the use of subjective terms—for example white, grey or yellow dunes—sometimes employed by plant ecologists (Tansley 1953). Cowles (1899) said ´a dune complex is a restless maze´ because the great topographic diversity depends on changes in the dune terrain from day to day, month to month, season to season and year to year.
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Fountain, Andrew G., and W. Berry Lyons. "Century- to Millennial-Scale Climate Change and Ecosystem Response in Taylor Valley, Antarctica." In Climate Variability and Ecosystem Response in Long-Term Ecological Research Sites. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195150599.003.0031.
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The view of climate change during the Pleistocene and the Holocene was very much different a mere decade ago. With the collection and detailed analyses of ice core records from both Greenland and Antarctica in the early and mid-1990s, respectively, the collective view of climate variability during this time period has changed dramatically. During the Pleistocene, at least as far back as 450,000 years b.p., abrupt and severe temperature fluctuations were a regular occurrence rather than the exception (Mayewski et al. 1996, 1998; Petit et al. 1999). During the Pleistocene, these rapid and large climatic fluctuations, initially identified in the ice core records, have been verified in both marine and lacustrine sediments as well (Bond et al. 1993; Grimm et al. 1993), suggesting large-scale (hemispheric to global) climate restructuring over very short periods of time (Mayewski et al. 1997). Similar types of climatic fluctuations, but with smaller amplitudes, have also occurred during the Holocene (O’Brien et al. 1995; Bond et al. 1997; Arz et al. 2001). What were the biological responses to these changes in temperature, precipitation, and atmospheric chemistry? We must answer this question if we are to understand the century- to millennial-scale influence of climate on the structure and function of ecosystems. Because the polar regions are thought to be amplifiers of global climate change, these regions are ideal for investigating the response of ecological systems to, what in temperate regions might be considered, small-scale climatic variation. Our knowledge of past climatic variations in Antarctica comes from different types of proxy records, including ice core, geologic, and marine (Lyons et al. 1997). It is clear, however, that coastal Antarctica may respond to oceanic, atmospheric, and ice sheet–based climatic “drivers,” and therefore ice-free regions, such as the Mc- Murdo Dry Valleys, may respond to climate change in a much more complex manner than previously thought (R. Poreda, unpubl. data 2001). Since the initiation of the McMurdo Dry Valleys Long-Term Ecological Research program (MCM) in 1993, there has been a keen interest not only in the dynamics of the present day ecosystem, but also in the legacies produced via past climatic variation on the ecosystem. In this chapter we examine the current structure and function of the dry valleys ecosystem from the perspective of our work centered in Taylor Valley.
Conference papers on the topic "Antarctic precipitation"
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Suparta, Wayan, and Siti Khalijah Zainudin. "Precipitation analysis using GPS meteorology over Antarctic Peninsula." In 2015 International Conference on Space Science and Communication (IconSpace). IEEE, 2015. http://dx.doi.org/10.1109/iconspace.2015.7283809.
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Wheeler, Aspen R. "ABUNDANCE AND COMPOSITION OF PRECIPITATION FEATURES ON WEST ANTARCTIC SUBGLACIAL TILL GRAINS." In 113th Annual GSA Cordilleran Section Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017cd-292984.
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Wheeler, Aspen R. "ABUNDANCE AND COMPOSITION OF PRECIPITATION FEATURES ON WEST ANTARCTIC SUBGLACIAL TILL GRAINS." In Rocky Mountain Section - 69th Annual Meeting - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017rm-292990.
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Judd, Emily J., Linda C. Ivany, Nicole M. Miklus, Willem P. Sijp, and Hagit P. Affek. "SEASONAL VARIATIONS OF TEMPERATURE AND PRECIPITATION IN ANTARCTICA DURING THE EOCENE GREENHOUSE." In GSA Annual Meeting in Denver, Colorado, USA - 2016. Geological Society of America, 2016. http://dx.doi.org/10.1130/abs/2016am-286792.
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Clilverd, Mark A., Rachael L. Hardman, Roger Duthie, Craig J. Rodger, and Robyn Millan. "Investigating electron precipitation event characteristics and drivers: Combining BARREL-inspired measurements from Antarctica and Canada." In 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6929961.
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