Laura DeCicco
Laura DeCicco is a Civil Engineer with the Upper Midwest Water Science Center.
Professional Experience
2019 - present, Upper Midwest Water Science Center (UMid WSC)
2018 - 2019, Integrated Information Dissemination Division (IIDD), Data Science Branch
2014 - 2018, Office of Water Information (OWI)
2010 - 2014, Center for Integrated Data Analytics (CIDA)
Education and Certifications
Professional Engineer, State of Wisconsin, 2011
(Formally Laura Kranendonk)
Post Doc, Oak Ridge National Lab, 2007-2009
Ph.D. Mechanical Engineering - University of Wisconsin - Madison, 2006
M.S. Biomedical Engineering - University of Wisconsin - Madison, 2001
B.S. Mechanical Engineering - University of Wisconsin - Madison, 1999
Science and Products
Filter Total Items: 25
User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract...
Authors
Robert M. Hirsch, Laura A. De Cicco
Science and Products
Filter Total Items: 25
User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data
Evaluating long-term changes in river conditions (water quality and discharge) is an important use of hydrologic data. To carry out such evaluations, the hydrologist needs tools to facilitate several key steps in the process: acquiring the data records from a variety of sources, structuring it in ways that facilitate the analysis, processing the data with routines that extract...
Authors
Robert M. Hirsch, Laura A. De Cicco