<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pletzer, Tamara</style></author><author><style face="normal" font="default" size="100%">Conway, Jonathan P.</style></author><author><style face="normal" font="default" size="100%">Cullen, Nicolas J.</style></author><author><style face="normal" font="default" size="100%">Eidhammer, Trude</style></author><author><style face="normal" font="default" size="100%">Katurji, Marwan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The application and modification of WRF-Hydro/Glacier to a cold-based Antarctic glacier</style></title><secondary-title><style face="normal" font="default" size="100%">Hydrology and Earth System Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2024</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hess.copernicus.org/articles/28/459/2024/</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">28</style></volume><pages><style face="normal" font="default" size="100%">459 - 478</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The McMurdo Dry Valleys (MDV) are home to a unique microbial ecosystem that is dependent on the availability of freshwater. This is a polar desert and freshwater originates almost entirely from surface and near-surface melt of the cold-based glaciers. Understanding the future evolution of these environments requires the simulation of the full chain of physical processes from net radiative forcing, surface energy balance, melt, runoff and transport of meltwater in stream channels from the glaciers to the terminal lakes where the microbial community resides. To establish a new framework to do this, we present the first application of WRF-Hydro/Glacier in the MDV, which as a fully distributed hydrological model has the capability to resolve the streams from the glaciers to the bare land that surround them. Given that meltwater generation in the MDV is almost entirely dependent on small changes in the energy balance of the glaciers, the aim of this study is to optimize the multi-layer snowpack scheme that is embedded in WRF-Hydro/Glacier to ensure that the feedbacks between albedo, snowfall and melt are fully resolved. To achieve this, WRF-Hydro/Glacier is implemented at a point scale using automatic weather station data on Commonwealth Glacier to physically model the onset, duration and end of melt over a 7-month period (1 August 2021 to 28 February 2022). To resolve the limited energetics controlling melt, it was necessary to (1) limit the percolation of meltwater through the ice layers in the multi-layer snowpack scheme and (2) optimize the parameters controlling the albedo of both snow and ice over the melt season based on observed spectral signatures of albedo. These modifications enabled the variability of broadband albedo over the melt season to be accurately simulated and ensured that modelled surface and near-surface temperatures, surface height change and runoff were fully resolved. By establishing a new framework that couples a detailed snowpack model to a fully distributed hydrological model, this work provides a stepping stone to model the spatial and temporal variability of melt and streamflow in the future, which will enable some of the unknown questions about the hydrological connectivity of the MDV to be answered.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hofsteenge, Marte G.</style></author><author><style face="normal" font="default" size="100%">Cullen, Nicolas J.</style></author><author><style face="normal" font="default" size="100%">Conway, Jonathan P.</style></author><author><style face="normal" font="default" size="100%">Reijmer, Carleen H.</style></author><author><style face="normal" font="default" size="100%">van den Broeke, Michiel R.</style></author><author><style face="normal" font="default" size="100%">Katurji, Marwan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Meteorological drivers of melt at two nearby glaciers in the McMurdo Dry Valleys of Antarctica</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Glaciology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Antarctic glaciology</style></keyword><keyword><style  face="normal" font="default" size="100%">energy balance</style></keyword><keyword><style  face="normal" font="default" size="100%">glacier meteorology</style></keyword><keyword><style  face="normal" font="default" size="100%">ice/atmosphere interactions</style></keyword><keyword><style  face="normal" font="default" size="100%">melt-surface</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2023</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.cambridge.org/core/journals/journal-of-glaciology/article/meteorological-drivers-of-melt-at-two-nearby-glaciers-in-the-mcmurdo-dry-valleys-of-antarctica/2B8ED17DEC26AB5F0905BC4C7ACA02FA</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">1 - 13</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We study the meteorological drivers of melt at two glaciers in Taylor Valley, Antarctica, using 22 years of weather station observations and surface energy fluxes. The glaciers are located only 30 km apart, but have different local climates; Taylor Glacier is generally drier and windier than Commonwealth Glacier, which receives more snowfall due to its proximity to the coast. Commonwealth Glacier shows more inter-annual melt variability, explained by variable albedo due to summer snowfall events. A significant increase in surface melt at Commonwealth Glacier is associated with a decrease in summer minimum albedo. Inter-annual variability in melt at both glaciers is linked to degree-days above freezing during föhn events, occurring more frequently at Taylor Glacier. At Taylor Glacier melt occurs most often with positive air temperatures, but föhn conditions also favour sublimation, which cools the surface and prevents melt for the majority of the positive air temperatures. At Commonwealth Glacier, most of the melt instead occurs with sub-zero air temperatures, driven by strong solar radiative heating. Future melt at Taylor Glacier will likely be more sensitive to changes in föhn events, while Commonwealth Glacier will be impacted more by changes in near coastal weather, where moisture inputs can drive cloud cover, snowfall and change albedo.&lt;/p&gt;</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Charles K. Lee</style></author><author><style face="normal" font="default" size="100%">Laughlin, Daniel C.</style></author><author><style face="normal" font="default" size="100%">Bottos, Eric M.</style></author><author><style face="normal" font="default" size="100%">Caruso, Tancredi</style></author><author><style face="normal" font="default" size="100%">Joy, Kurt</style></author><author><style face="normal" font="default" size="100%">John E. Barrett</style></author><author><style face="normal" font="default" size="100%">Brabyn, Lars</style></author><author><style face="normal" font="default" size="100%">Uffe N. Nielsen</style></author><author><style face="normal" font="default" size="100%">Byron Adams</style></author><author><style face="normal" font="default" size="100%">Diana H. Wall</style></author><author><style face="normal" font="default" size="100%">D. W. Hopkins</style></author><author><style face="normal" font="default" size="100%">Pointing, Steve B.</style></author><author><style face="normal" font="default" size="100%">McDonald, Ian R.</style></author><author><style face="normal" font="default" size="100%">Cowan, Don A.</style></author><author><style face="normal" font="default" size="100%">Banks, Jonathan C.</style></author><author><style face="normal" font="default" size="100%">Stichbury, Glen A.</style></author><author><style face="normal" font="default" size="100%">Jones, Irfon</style></author><author><style face="normal" font="default" size="100%">Zawar-Reza, Peyman</style></author><author><style face="normal" font="default" size="100%">Katurji, Marwan</style></author><author><style face="normal" font="default" size="100%">Hogg, Ian D.</style></author><author><style face="normal" font="default" size="100%">Sparrow, Ashley D.</style></author><author><style face="normal" font="default" size="100%">Storey, Bryan C.</style></author><author><style face="normal" font="default" size="100%">Allan Green, T. G.</style></author><author><style face="normal" font="default" size="100%">Craig S Cary</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Biotic interactions are an unexpected yet critical control on the complexity of an abiotically driven polar ecosystem</style></title><secondary-title><style face="normal" font="default" size="100%">Communications Biology</style></secondary-title><short-title><style face="normal" font="default" size="100%">Commun Biol</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.nature.com/articles/s42003-018-0274-5</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">2</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Abiotic and biotic factors control ecosystem biodiversity, but their relative contributions remain unclear. The ultraoligotrophic ecosystem of the Antarctic Dry Valleys, a simple yet highly heterogeneous ecosystem, is a natural laboratory well-suited for resolving the abiotic and biotic controls of community structure. We undertook a multidisciplinary investigation to capture ecologically relevant biotic and abiotic attributes of more than 500 sites in the Dry Valleys, encompassing observed landscape heterogeneities across more than 200 km&lt;sup&gt;2&lt;/sup&gt;. Using richness of autotrophic and heterotrophic taxa as a proxy for functional complexity, we linked measured variables in a parsimonious yet comprehensive structural equation model that explained significant variations in biological complexity and identified landscape-scale and fine-scale abiotic factors as the primary drivers of diversity. However, the inclusion of linkages among functional groups was essential for constructing the best-fitting model. Our findings support the notion that biotic interactions make crucial contributions even in an extremely simple ecosystem.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Katurji, Marwan</style></author><author><style face="normal" font="default" size="100%">Khan, Basit</style></author><author><style face="normal" font="default" size="100%">Sprenger, Michael A.</style></author><author><style face="normal" font="default" size="100%">Datta, Rajasweta</style></author><author><style face="normal" font="default" size="100%">Joy, Kurt</style></author><author><style face="normal" font="default" size="100%">Zawar-Reza, Peyman</style></author><author><style face="normal" font="default" size="100%">Ian Hawes</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Meteorological connectivity from regions of high biodiversity within the McMurdo Dry Valleys of Antarctica</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Applied Meteorology and Climatology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Antarctica</style></keyword><keyword><style  face="normal" font="default" size="100%">atmosphere</style></keyword><keyword><style  face="normal" font="default" size="100%">biosphere-atmosphere interaction</style></keyword><keyword><style  face="normal" font="default" size="100%">mesoscale models</style></keyword><keyword><style  face="normal" font="default" size="100%">mesoscale processes</style></keyword><keyword><style  face="normal" font="default" size="100%">numerical analysis/modeling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://journals.ametsoc.org/view/journals/apme/58/11/jamc-d-18-0336.1.xml</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">2437 - 2452</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Meteorological connectivity between biological hot spots of the McMurdo Dry Valleys (MDVs) of Antarctica is thought to play a role in species distribution and abundance through the aeolian transport of bioaerosols. Understanding the potential role of such meteorological connectivity requires an understanding of near-surface wind flow within and between valley airsheds. To address this, we applied Lagrangian wind trajectory modeling to mesoscale (spatial resolution of ~1 km) weather model output to predict connectivity pathways, focusing on regions of high biodiversity. Our models produce maps of a likelihood metric of wind connectivity that demonstrate the synoptic and mesoscale dependence of connections between local, near-local, and nonlocal areas on wind transport, modulated by synoptic weather and topographic forcing. These connectivity areas can have spatial trends modulated by the synoptic weather patterns and locally induced topographically forced winds. This method is transferrable to other regions of Antarctica for broader terrestrial, coastal, and offshore ecological connectivity research. Also, our analysis and methods can inform better placement of aeolian dust and bioaerosol samplers in the McMurdo Dry Valleys, provide preliminary guidelines behind the meteorological controls of sediment transport and smaller particle distribution, and present quantifiable knowledge informing new hypotheses around the potential of wind acting as a physical driver for biological connectivity in the MDVs.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue></record></records></xml>