108 research outputs found
Friends of Musselman Library Newsletter Spring 2013
No full textTable of contents: From the Director: Primary Source Materials (Robin Wagner); Students Create Cabinets of Wonder (Emily Francisco ’14, Jill Duranko ’14, Kay Etheridge, Felicia Else, Josh Poorman ’13, Danielle Berardinelli ’13); 30 Treasures Book Wins Awards (Emily Wass); Visitors from Middle East Give Civil War Era Artifacts (Janet Morgan Riggs ’72); Focus on Philanthropy: Donald Brett and Eisenhower memorabilia; Research Reflections: To the Gallows – Manual of Chemistry by John W. Webster (Michel R. Wedlock); Classes visit Special Collections (Carolyn Sautter, William Bowman, Kristen Trout ’15, David Booz, Karen Pinto, Leslie Wallace); Alumnus Donates Native American Lithographs (Geoffrey Jackson ’91); Katalysine Springs (Marianne Larkin ’71, Andrew Dalton); GettDigital: Music at Gettysburg College (Timothy Sestrick, Keith Gromis ’13); Library Launches The Cupola (Francesca DeBiaso ’12, Janelle Wertzberger, Matthew Carlson ’12, Dan DeNicola); Library on Facebook; Extra Illustrated History of Cumberland (Maryland) etc. by Will H. Lowdermilk (Geoffrey Jackson ’91, Devin McKinney); Librarians Test E-Readers (Janelle Wertzberger); Tribute to Charles H. Glatfelter ’46 (Michael Birkner ’72); Clara Barton Letter Purchased with Drickamer Fund (Karen Drickamer); George C. Maharay as Author of History Books (Ed Maharay, Janet Hancock Maharay ’39, Jennifer Olson ’04); Civil War Institute Donates Lincoln Prize Books; Oral History Endowment Established (G. Kenneth Newbould ’31; Mary J. Newbold, Kenneth H. Newbold ’58, Catherine Perry); artiFACTS Offers Quick Response (QR
Friends of Musselman Library Newsletter Spring 2004
No full textTable of Contents: From the Director: Events By the Library (Robin Wagner, Janelle Wertzberger, Larry Marschall, Andrea Harries ’04); ONE BOOK Come to Gettysburg (Ursula Hegi); Friends Join Friends for Spring Event April 20th, Featuring Transit of Venus (Larry Marschall); New Book on Stephen H. Warner \u2768 (Arthur J. Amchan, Stephen H. Warner ’68); Library Combats Waste; Scholarly Study Stuckenberg Maps (James Myers, Dan DeNicola, John Docktor); It Takes More Than Two to Tango: Students Paint Library Walls (Nancy Cushing-Daniels, Cassandra Cochran, Ashley Gilgore, Lisa Hinkel, Shianne Settlage); Students Organize WWII Exhibit (Bill Bowman); Emler and Light Named Fortenbaugh Interns (Meggan Emler ’04, Stephen Light ’05) Spotlight on Collections (Jacob Yingling ’52, Keith Swaney ’03); County Histories Come Alive as eBooks (Milton Burgess ’22); Colorful Children’s Toys Exhibit; Klos Gift Transforms Collection (Sarah Wolf Klos ’48, Reverend Frank W. Klos Junior ’46, Reverend G. Edgar Wolfe ‘09); Foreign Films in English (Nancy Johnson); Notable Recent Purchases in Special Collections; Rare Slavery Materials Available; Friends Fundraiser Features Frankenstei
Daily snow water equivalent (SWE) observations from 1,065 stations in western North America for years 1960 - 2019.
No full textThis data set includes daily snow water equivalent (SWE) observations for the historical record to September 2019 at 1,065 stations in the western U.S. and western Canada. Remote telemetry stations measure snowpack by relating measurements of the overlying snowpack mass to the water depth equivalent. The data were obtained from the Natural Resources Conservation Service, the California Department of Water Resources, Alberta Environment, the British Columbia Ministry of Environment, and the Yukon Government Water Resources Branch.
Two levels of data are provided. The file snowPillowSWE_westernNA_level1_ncc.nc has been formatted but not quality controlled. The file snowPillowSWE_westernNA_level2_ncc.nc has been formatted and quality controlled. Both files are in netCDF format.
The level 1 product provides daily SWE from January 1, 1960, to September 1, 2019 (21,794 days; row dimension) for 1,065 stations (column dimension). The level 2 SWE product is formatted by water year (October 1 to September 30) starting on Oct. 1, 1960 and ending on September 1, 2019, for the 1,065 stations and 59 years. Thus, it is of dimension [366 days,1065 stations, 59 years]. See the metadata in the netCDF files for information on all variables. Missing data are indicated by NaN.
Please refer to the following publication for more information on the data and QA/QC methods:
Musselman, K.N., N. Addor, J. Vano, and N.P. Molotch (2021). Winter melt rates portend widespread declines in snow water resources. Nature Climate Change. DOI: 10.1038/s41558-021-01014-
Uncovering Shakespeare\u27s Sisters in Special Collections and College Archives, Musselman Library
No full textForeword by Professor Suzanne J. Flynn
I have taught the first-year seminar, Shakespeare’s Sisters, several times, and over the years I have brought the seminar’s students to the Folger Shakespeare Library in Washington, D.C. There, the wonderful librarians have treated the students to a special exhibit of early women’s manuscripts and first editions, beginning with letters written by Elizabeth I and proceeding through important works by seventeen and eighteenth-century women authors such as Aemelia Lanyer, Anne Finch, Aphra Behn, and Mary Wollstonecraft. This year I worked with Carolyn Sautter, the Director of Special Collections and College Archives, to give my 2018 seminar students the opportunity to produce a sequel to the Folger exhibit of early modern women writers. Special Collections houses an impressive array of first editions from the nineteenth and twentieth centuries, many of them acquired from Thomas Y. Cooper, the former editor of the Hanover Evening Sun newspaper, who donated over 1600 items to Musselman Library in 1965.
Working with Kerri Odess-Harnish, we chose first editions of eight significant works of literature written by American and British women from the mid-nineteenth through the mid-twentieth centuries. The students worked in pairs, researching a single book and producing a report that outlines important biographical facts about the author, the book’s publication and reception history, and finally the significance of the book in the years since its publication. We hope that our project will draw attention to the wealth of literary treasures housed in Special Collections at Musselman Library, but especially to these works by eight of “Shakespeare’s Sisters.
Testing and Applying Methods to Assess Snow Interception at a Subalpine Site
No full textSnow interception and the sublimation of intercepted snow are important processes in subalpine forests. Direct interception measurements are difficult beyond the point scale of a single suspended tree, resulting in the use of indirect methods to assess interception, including eddy covariance instruments, time-lapse photography, and models. Here timelapse photography was leveraged to train a convolution neural network. These methods were tested over a single winter month (January 2019) at the Niwot Forest AmeriFlux site in the Colorado Front Range, with results compared to labeled images and a common statistic (balanced accuracy) calculated. The most promising methods during testing were then applied to winter 2018/2019 (1st October 2018 – 31st May 2019). Interception occurred between 40% and 76% of winter days, based on the convolution neural network and eddy covariance measurements, respectively, with model simulations giving results between these values. Model simulations also suggested that around 60% of snowfall was intercepted. Slightly under a quarter of total snowfall was lost to sublimation over the winter, with 16% of snowfall sublimating from intercepted snow. All methods provided insight into the process of interception in a subalpine forest but did present challenges, including the need to limit latent heat flux measurements of sublimation to when the forest was not transpiring and the inability to monitor snow interception at night with red-green-blue imagery.</p
2019-2020 Australian Megafires Darken New Zealand Alpine Glaciers: A Hyperspectral Case Study
No full textAlpine glaciers in New Zealand serve as an important contributor to the hydrologic budgets of downstream ecosystems and are highly sensitive to the deposition of Light Absorbing Particles (LAP). In January of 2020, a concentrated plume of wildfire soot and black carbon was transported from Australian bushfires of unprecedented magnitude ~1800km across the Tasman Sea and deposited on alpine glaciers across the South Island of New Zealand. This study utilizes hyperspectral imagery collected from the Agenzia Spaziale Italiana (ASI) PRISMA (PRecursore IperSpettrale della Missione Applicativa) satellite in conjunction with the Two-StreAm Radiative TransfEr in Snow (TARTES) snow spectral model to quantify the impact of this event on the Cascade Glacier in the Southern Alps of New Zealand. Here, we estimate black carbon (BC) concentrations on the snow surface of the glacier, develop a Light Absorbing Particle Index to evaluate deposition behavior, estimate the relative snow-darkening compared to clean snow estimates, and derive estimates of the radiative forcing (RF) of the impurities. We find mean snow optical grain sizes of 721 ± 42 microns (radius) and mean equivalent black carbon concentrations of 1610 ± 189 ng/g (assuming all LAP darkening attributed to BC), with an instantaneous radiative forcing of 169 watts per square meter across the study area. While previous studies have demonstrated radiative forcing impacts from black carbon driven by industrial pollution, this study is unique in demonstrating the impacts of an intense LAP deposition event associated with long-range transport of wildfire-derived particles. These finding demonstrate the value of space-borne hyperspectral measurements in the detection and quantification of LAP deposition events and associated impacts on snow surface reflectance and radiative forcing.</p
2019-2020 Australian Megafires Darken New Zealand Alpine Glaciers: A Hyperspectral Case Study
No full textAlpine glaciers in New Zealand serve as an important contributor to the hydrologic budgets of downstream ecosystems and are highly sensitive to the deposition of Light Absorbing Particles (LAP). In January of 2020, a concentrated plume of wildfire soot and black carbon was transported from Australian bushfires of unprecedented magnitude ~1800km across the Tasman Sea and deposited on alpine glaciers across the South Island of New Zealand. This study utilizes hyperspectral imagery collected from the Agenzia Spaziale Italiana (ASI) PRISMA (PRecursore IperSpettrale della Missione Applicativa) satellite in conjunction with the Two-StreAm Radiative TransfEr in Snow (TARTES) snow spectral model to quantify the impact of this event on the Cascade Glacier in the Southern Alps of New Zealand. Here, we estimate black carbon (BC) concentrations on the snow surface of the glacier, develop a Light Absorbing Particle Index to evaluate deposition behavior, estimate the relative snow-darkening compared to clean snow estimates, and derive estimates of the radiative forcing (RF) of the impurities. We find mean snow optical grain sizes of 721 ± 42 microns (radius) and mean equivalent black carbon concentrations of 1610 ± 189 ng/g (assuming all LAP darkening attributed to BC), with an instantaneous radiative forcing of 169 watts per square meter across the study area. While previous studies have demonstrated radiative forcing impacts from black carbon driven by industrial pollution, this study is unique in demonstrating the impacts of an intense LAP deposition event associated with long-range transport of wildfire-derived particles. These finding demonstrate the value of space-borne hyperspectral measurements in the detection and quantification of LAP deposition events and associated impacts on snow surface reflectance and radiative forcing.</p
Testing and Applying Methods to Assess Snow Interception at a Subalpine Site
No full textSnow interception and the sublimation of intercepted snow are important processes in subalpine forests. Direct interception measurements are difficult beyond the point scale of a single suspended tree, resulting in the use of indirect methods to assess interception, including eddy covariance instruments, time-lapse photography, and models. Here timelapse photography was leveraged to train a convolution neural network. These methods were tested over a single winter month (January 2019) at the Niwot Forest AmeriFlux site in the Colorado Front Range, with results compared to labeled images and a common statistic (balanced accuracy) calculated. The most promising methods during testing were then applied to winter 2018/2019 (1st October 2018 – 31st May 2019). Interception occurred between 40% and 76% of winter days, based on the convolution neural network and eddy covariance measurements, respectively, with model simulations giving results between these values. Model simulations also suggested that around 60% of snowfall was intercepted. Slightly under a quarter of total snowfall was lost to sublimation over the winter, with 16% of snowfall sublimating from intercepted snow. All methods provided insight into the process of interception in a subalpine forest but did present challenges, including the need to limit latent heat flux measurements of sublimation to when the forest was not transpiring and the inability to monitor snow interception at night with red-green-blue imagery.</p
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