Andrew R Bock
Thanks for visiting my profile page. I am a hydrologist for the Geospatial Intelligence Branch within the Integrated Modeling and Prediction Division.
The focus of my work is developing geospatial and data analysis techniques to improve our understanding of hydrologic systems.
Education and Certifications
M.S. in Geography, University of Colorado-Boulder, 2010
B.S. in Watershed Management, University of Wisconsin-Stevens Point, 2004
Science and Products
Filter Total Items: 16
Accelerating advances in continental domain hydrologic modeling
In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from
Authors
Stacey A. Archfield, Martyn Clark, Berit Arheimer, Lauren E. Hay, Hilary McMillan, Julie E. Kiang, Jan Seibert, Kirsti Hakala, Andrew R. Bock, Thorsten Wagener, William H. Farmer, Vazken Andreassian, Sabine Attinger, Alberto Viglione, Rodney Knight, Steven L. Markstrom, Thomas M. Over
Evaluation of mean-monthly streamflow-regression equations for Colorado, 2014
The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, evaluated the predictive uncertainty of mean-monthly streamflow-regression equations representative of natural streamflow conditions in Colorado. This study evaluates the predictive uncertainty of mean-monthly streamflow-regression equations developed in a 2009 U.S. Geological Survey study using streamflow data
Authors
Michael S. Kohn, Michael R. Stevens, Andrew R. Bock, Stephen J. Char
Community for Data Integration 2013 Annual Report
The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate the use o
Authors
Michelle Y. Chang, Jennifer Carlino, Christopher Barnes, David L. Blodgett, Andrew R. Bock, Anthony L. Everette, Gregory L. Fernette, Lorraine E. Flint, Janice M. Gordon, David L. Govoni, Lauren E. Hay, Heather S. Henkel, Megan Hines, Sally L. Holl, Collin G. Homer, Vivian B. Hutchison, Drew A. Ignizio, Tim J. Kern, Frances L. Lightsom, Steven L. Markstrom, Michael S. O'Donnell, Jacquelyn L. Schei, Lorna A. Schmid, Kathryn M. Schoephoester, Peter N. Schweitzer, Susan K. Skagen, Daniel J. Sullivan, Colin Talbert, Meredith Pavlick Warren
Inter-annual and spatial variability of Hamon potential evapotranspiration model coefficients
Monthly calibrated values of the Hamon PET coefficient (C) are determined for 109,951 hydrologic response units (HRUs) across the conterminous United States (U.S.). The calibrated coefficient values are determined by matching calculated mean monthly Hamon PET to mean monthly free-water surface evaporation. For most locations and months the calibrated coefficients are larger than the standard value
Authors
Gregory J. McCabe, Lauren E. Hay, Andy Bock, Steven L. Markstrom, R. Dwight Atkinson
Science and Products
Filter Total Items: 16
Accelerating advances in continental domain hydrologic modeling
In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from
Authors
Stacey A. Archfield, Martyn Clark, Berit Arheimer, Lauren E. Hay, Hilary McMillan, Julie E. Kiang, Jan Seibert, Kirsti Hakala, Andrew R. Bock, Thorsten Wagener, William H. Farmer, Vazken Andreassian, Sabine Attinger, Alberto Viglione, Rodney Knight, Steven L. Markstrom, Thomas M. Over
Evaluation of mean-monthly streamflow-regression equations for Colorado, 2014
The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, evaluated the predictive uncertainty of mean-monthly streamflow-regression equations representative of natural streamflow conditions in Colorado. This study evaluates the predictive uncertainty of mean-monthly streamflow-regression equations developed in a 2009 U.S. Geological Survey study using streamflow data
Authors
Michael S. Kohn, Michael R. Stevens, Andrew R. Bock, Stephen J. Char
Community for Data Integration 2013 Annual Report
The U.S. Geological Survey (USGS) conducts earth science to help address complex issues affecting society and the environment. In 2006, the USGS held the first Scientific Information Management Workshop to bring together staff from across the organization to discuss the data and information management issues affecting the integration and delivery of earth science research and investigate the use o
Authors
Michelle Y. Chang, Jennifer Carlino, Christopher Barnes, David L. Blodgett, Andrew R. Bock, Anthony L. Everette, Gregory L. Fernette, Lorraine E. Flint, Janice M. Gordon, David L. Govoni, Lauren E. Hay, Heather S. Henkel, Megan Hines, Sally L. Holl, Collin G. Homer, Vivian B. Hutchison, Drew A. Ignizio, Tim J. Kern, Frances L. Lightsom, Steven L. Markstrom, Michael S. O'Donnell, Jacquelyn L. Schei, Lorna A. Schmid, Kathryn M. Schoephoester, Peter N. Schweitzer, Susan K. Skagen, Daniel J. Sullivan, Colin Talbert, Meredith Pavlick Warren
Inter-annual and spatial variability of Hamon potential evapotranspiration model coefficients
Monthly calibrated values of the Hamon PET coefficient (C) are determined for 109,951 hydrologic response units (HRUs) across the conterminous United States (U.S.). The calibrated coefficient values are determined by matching calculated mean monthly Hamon PET to mean monthly free-water surface evaporation. For most locations and months the calibrated coefficients are larger than the standard value
Authors
Gregory J. McCabe, Lauren E. Hay, Andy Bock, Steven L. Markstrom, R. Dwight Atkinson