All Publications
Access all publications and filter by type, location, and search for keywords to find specific science and data information conducted by our scientists.
Filter Total Items: 171140
Enumerating plausible multifault ruptures in complex fault systems with physical constraints
We propose a new model for determining the set of plausible multifault ruptures in an interconnected fault system. We improve upon the rules used in the Third Uniform California Earthquake Rupture Forecast (UCERF3) to increase connectivity and the physical consistency of ruptures. We replace UCERF3’s simple azimuth change rules with new Coulomb favorability metrics and increase the maximum jump di
Authors
Kevin R. Milner, Bruce E. Shaw, Edward H. Field
Mapping a magnetic superstorm: March 1989 geoelectric hazards and impacts on United States power systems
A study is made of the relationships between geomagnetic and geoelectric field variation, Earth-surface impedance, and operational interference (anomalies) experienced on electric-power systems across the contiguous United States during the March 13-14, 1989 magnetic storm. For this, a 1-minute-resolution sequence of geomagnetic field maps is constructed from magnetometer time series acquired at g
Authors
Jeffrey J. Love, Greg M. Lucas, E. Joshua Rigler, Benjamin Scott Murphy, Anna Kelbert, Paul A. Bedrosian
Long-term ice phenology records spanning up to 578 years for 78 lakes around the Northern Hemisphere
In recent decades, lakes have experienced unprecedented ice loss with widespread ramifications for winter ecological processes. The rapid loss of ice, resurgence of winter biology, and proliferation of remote sensing technologies, presents a unique opportunity to integrate disciplines to further understand the broad spatial and temporal patterns in ice loss and its consequences. Here, we summarize
Authors
Sapna Sharma, Alessnadro Filazzola, Thi Nguyen, Mohammad Imrit, Kevin Blagrave, Damien Bouffard, Julia Daly, Harley Feldman, Natalie Feldsine, Harrie-Jan Hendricks-Franssen, Nikolay Granin, Richard Hecock, Jan Henning L'Abee-Lund, Ed Hopkins, Neil Howk, Michael Iacono, Lesley B. Knoll, Johanna Korhonen, Hilmar Malmquist, Woldzimierz Marszelewski, Shin-ichiro S. Matsuzaki, Yuichi Miyabara, Kiyoshi Miyasaka, Alexander Mills, Lolita Olson, Theodore Peters, David Richardson, Dale M. Robertson, Lars G. Rudstam, Danielle Wain, Holly Waterfield, Gesa A. Weyhenmeyer, Brendan Wiltse, Huaxia Yao, Andry Zhdanov, John J. Magnuson
A framework for ensemble modelling of climate change impacts on lakes worldwide: The ISIMIP lake sector.
Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure and resulting changes in lake biogeochemistry in order to plan for the likely impacts. Previous studies of the impacts of climate change on lakes have often relied on a single model forced with limited scenario-driven p
Authors
Malgorzata Golub, Wim Thiery, Rafael Marce, Don Pierson, Inne Vanderkelen, Daniel Mercado-Bettin, R. Iestyn Woolway, Luke Grant, Eleanor Jennings, Benjamin Kraemer, Jacob Schewe, Fang Zhao, Katja Frieler, Matthias Mengel, Vasiliy Y. Bogomolov, Damian Bouffard, Marianne Cote, Raoul-Marie Couture, Andrey V. Debolskiy, Bram Droppers, Gideon Gal, Mingyang Guo, Annette B. G. Janssen, Georgiy Kirillin, Robert Ladwig, Madeline Magee, Tadhg Moore, Marjorie Perroud, Sebastiano Piccolroaz, Love Raaman Vinnea, Martin Schmid, Tom Shatwell, Victor M. Stepanenko, Zeli Tan, Bronwyn Woodward, Huaxia Yao, Rita Adrian, Mathew Allan, Orlane Anneville, Lauri Arvola, Karen Atkins, Leon Boegman, Cayelan C. Carey, Kyle Christianson, Elvira de Eyto, Curtis L. DeGasperi, Maria Grechushnikova, Josef Hejzlar, Klaus Joehnk, Ian D. Jones, Alo Laas, Eleanor B. MacKay, Ivan Mammarella, Hampus Markensten, Christopher G. McBride, Deniz Özkundakci, Miguel Potes, Karsten Rinke, Dale M. Robertson, James A. Rusak, Rui Salgado, Leon van der Linden, Piet Verburg, Danielle Wain, Nicole K. Ward, Sabine Wollrab, Galina Zdorovennova
Computed tomography for measuring body fat reserves in threatened Mohave desert tortoise (Gopherus agassizii)
Noninvasive methods for measuring fat reserves in both captive and free-ranging animals are important for monitoring individual and population health, but chelonian anatomy and physiology present challenges to accurate measurements. Standard field-based methods for assessing body condition in Mojave desert tortoises (Gopherus agassizii) involve the qualitative body condition score, which relies on
Authors
M A Walden, Rachel Jania, Matthew E Kinney, Anne Devan-Song, K. Kristina Drake, Todd C. Esque, Kevin T. Shoemaker
Statistical assessment on determining local presence of rare bat species
Surveying cryptic, sparsely distributed taxa using autonomous recording units, although cost-effective, provides imperfect knowledge about species presence. Summertime bat acoustic surveys in North America exemplify the challenges with characterizing sources of uncertainty: observation error, inability to census populations, and natural stochastic variation. Statistical uncertainty, if not conside
Authors
Kathryn M. Irvine, Katharine M. Banner, Christian Stratton, W. Mark Ford, Brian Reichert
Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region
For agricultural areas facing water scarcity, sustainable water use policy relies on irrigation information that is timely and at a high resolution, but existing publicly available water use data are often insufficient for monitoring compliance or understanding the influence of policy on individual farmer decisions. This study attempts to fill this data gap by using remote sensing to map annual ir
Authors
Steven S Filippelli, Matthew R Sloggy, Jody C. Vogeler, Dale T Manning, Christopher Goemans, Gabriel B. Senay
The consequences of climate change for dryland biogeochemistry
Drylands, which cover more than 40% of Earth’s terrestrial surface, are dominant drivers of global biogeochemical cycling and home to more than one third of the human population. Climate projections predict warming, drought frequency and severity, and evaporative demand will increase in drylands at faster rates than global means. Due to extreme temperatures and high biological dependency on limite
Authors
Brooke Bossert Osborne, Brandon T. Bestelmeyer, Courtney M. Currier, Peter M Homyak, Heather L. Throop, Kristina E Young, Sasha C. Reed
Implementation plan of the National Cooperative Geologic Mapping Program strategy — Appalachian Piedmont and Blue Ridge Provinces
The National Cooperative Geologic Mapping Program is publishing a strategic plan titled “Renewing the National Cooperative Geologic Mapping Program as the Nation’s Authoritative Source for Modern Geologic Knowledge.” The plan provides a vision, mission, and goals for the program for the years 2020–30:Vision: create an integrated, three-dimensional, digital geologic map of the United States.Mission
Authors
Arthur J. Merschat, Mark W. Carter
Opportunities to improve alignment with the FAIR Principles for U.S. Geological Survey data
In 2016, an interdisciplinary, international group of 53 scientists introduced a framework named “the FAIR Principles” for addressing 21st century scientific data challenges. The FAIR Principles are increasingly used as a guide for producing digital scientific products that are findable, accessible, interoperable, and reusable (FAIR), especially to enable use of such products in automated systems.
Authors
Frances L. Lightsom, Vivian B. Hutchison, Bradley Bishop, Linda M. Debrewer, David L. Govoni, Natalie Latysh, Shelley Stall
Arkansas and Landsat
Scenic Arkansas certainly lives up to its nickname, “The Natural State.” The Ozark Plateau and Ouachita Mountains boast stunning views, vast resources, and recreation. Hardwood and pine forests cover one-half of the State. The major rivers—Arkansas, Ouachita, Red, and White—offer recreation and navigation as they drain toward the Mississippi River, which forms the State’s eastern border. Smaller s
Authors
Bayesian inverse reinforcement learning for collective animal movement
Agent-based methods allow for defining simple rules that generate complex group behaviors. The governing rules of such models are typically set a priori, and parameters are tuned from observed behavior trajectories. Instead of making simplifying assumptions across all anticipated scenarios, inverse reinforcement learning provides inference on the short-term (local) rules governing long-term behavi
Authors
Toryn L. J. Schafer, Christopher K. Wikle, Mevin Hooten