Ryan Spies
Hydrologic Scientist/Engineer at Lynker Technologies- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
Spanish Limited working proficiency
Topline Score
Bio
Credentials
-
Certified Floodplain Manager
Association of State Floodplain Managers, Inc. (ASFPM)Apr, 2019- Nov, 2024 -
CPR
National Safety CouncilMar, 2015- Nov, 2024 -
First Aid
National Safety CouncilMar, 2015- Nov, 2024
Experience
-
Lynker
-
United States
-
Environmental Services
-
200 - 300 Employee
-
Hydrologic Scientist/Engineer
-
May 2015 - Present
Mr. Spies is a hydrologic scientist with project experience encompassing hydrometeorological data analysis, statistical hydrology, hydrology-based geospatial assessments, and surface water modeling applications using a multitude of spatially-distributed hydrologic modeling tools. He has hands-on experience developing and applying hydrometeorological data for operational hydrological modeling systems including the United States National Weather Service river forecast model suite. Additional… Show more Mr. Spies is a hydrologic scientist with project experience encompassing hydrometeorological data analysis, statistical hydrology, hydrology-based geospatial assessments, and surface water modeling applications using a multitude of spatially-distributed hydrologic modeling tools. He has hands-on experience developing and applying hydrometeorological data for operational hydrological modeling systems including the United States National Weather Service river forecast model suite. Additional project experience includes remote sensing applications, model parameterization optimization, flood inundation mapping, hydrologic-hydraulic model coupling, and developing web-based data visualization tools. His professional interests include hydrologic forecasting, flood mitigation planning, riverine data analysis, Python-based data visualization and analysis, and sustainable water resources planning and management. Show less Mr. Spies is a hydrologic scientist with project experience encompassing hydrometeorological data analysis, statistical hydrology, hydrology-based geospatial assessments, and surface water modeling applications using a multitude of spatially-distributed hydrologic modeling tools. He has hands-on experience developing and applying hydrometeorological data for operational hydrological modeling systems including the United States National Weather Service river forecast model suite. Additional… Show more Mr. Spies is a hydrologic scientist with project experience encompassing hydrometeorological data analysis, statistical hydrology, hydrology-based geospatial assessments, and surface water modeling applications using a multitude of spatially-distributed hydrologic modeling tools. He has hands-on experience developing and applying hydrometeorological data for operational hydrological modeling systems including the United States National Weather Service river forecast model suite. Additional project experience includes remote sensing applications, model parameterization optimization, flood inundation mapping, hydrologic-hydraulic model coupling, and developing web-based data visualization tools. His professional interests include hydrologic forecasting, flood mitigation planning, riverine data analysis, Python-based data visualization and analysis, and sustainable water resources planning and management. Show less
-
-
-
Amec Foster Wheeler
-
United Kingdom
-
Oil and Gas
-
700 & Above Employee
-
Hydrologist / Water Resources Scientist
-
Jun 2014 - May 2015
Primary responsibilities included calibrating, evaluating, and implementing hydrologic models for use in NWS streamflow, flood, drought, and ensemble forecast processes. Models included SAC-SMA, SNOW-17, LAG/K, RES-J, HEC-HMS, and HEC-ResSim. Project involvement included developing and modifying hydrologic procedures, models, and techniques to ensure optimal use of available technologies and data. Designing and configuring hydrologic workflows and visual displays in the FEWS/CHPS software… Show more Primary responsibilities included calibrating, evaluating, and implementing hydrologic models for use in NWS streamflow, flood, drought, and ensemble forecast processes. Models included SAC-SMA, SNOW-17, LAG/K, RES-J, HEC-HMS, and HEC-ResSim. Project involvement included developing and modifying hydrologic procedures, models, and techniques to ensure optimal use of available technologies and data. Designing and configuring hydrologic workflows and visual displays in the FEWS/CHPS software infrastructure was an essential component of the position. Show less Primary responsibilities included calibrating, evaluating, and implementing hydrologic models for use in NWS streamflow, flood, drought, and ensemble forecast processes. Models included SAC-SMA, SNOW-17, LAG/K, RES-J, HEC-HMS, and HEC-ResSim. Project involvement included developing and modifying hydrologic procedures, models, and techniques to ensure optimal use of available technologies and data. Designing and configuring hydrologic workflows and visual displays in the FEWS/CHPS software… Show more Primary responsibilities included calibrating, evaluating, and implementing hydrologic models for use in NWS streamflow, flood, drought, and ensemble forecast processes. Models included SAC-SMA, SNOW-17, LAG/K, RES-J, HEC-HMS, and HEC-ResSim. Project involvement included developing and modifying hydrologic procedures, models, and techniques to ensure optimal use of available technologies and data. Designing and configuring hydrologic workflows and visual displays in the FEWS/CHPS software infrastructure was an essential component of the position. Show less
-
-
-
U.S. Geological Survey (USGS)
-
Research Services
-
700 & Above Employee
-
Hydrologist
-
Jan 2014 - Jun 2014
Illinois Water Science Center - Surface Water Investigations Group Project: Comparison of NEXRAD Multisensor Precipitation Estimates to Ground-based Precipitation Gage Observations This study analyzed the application of Next-Generation Radar (NEXRAD) Multisensor Precipitation Estimates (MPE) in the DuPage County, Illinois region. NEXRAD-MPE gridded data are compared to the U.S. Geological Survey tipping-gage network as well as ground-gage observations from the Community Collaborative… Show more Illinois Water Science Center - Surface Water Investigations Group Project: Comparison of NEXRAD Multisensor Precipitation Estimates to Ground-based Precipitation Gage Observations This study analyzed the application of Next-Generation Radar (NEXRAD) Multisensor Precipitation Estimates (MPE) in the DuPage County, Illinois region. NEXRAD-MPE gridded data are compared to the U.S. Geological Survey tipping-gage network as well as ground-gage observations from the Community Collaborative Rain, Hail & Snow Network (CoCoRaHS), and data is broken into two temperature defined categories attempting to separate frozen and liquid precipitation. The findings of this analysis demonstrate the applicability and reliability of NEXRAD-MPE for use in a streamflow simulation system. Project: Estimating the Rain-Snow Discrimination Temperature Parameter in the DuPage County Area, Illinois This project examined the rain-snow discrimination temperature in the DuPage County, Illinois region. Data from four Automated Surface Observing System (ASOS) sites in the study area are used to evaluate the frequency of rain and snow precipitation identification reports with the corresponding temperature data from the ASOS observations as well as the U.S. Department of Energy Argonne National Laboratory (ANL) data. The DuPage County Hydrologic Simulation Program-FORTRAN (HSPF) streamflow-simulation system uses a rain-snow temperature parameter, input air temperature, and input dew point temperature to simulate input precipitation as rain or snow. This study attempts to evaluate the performance of the HSPF model to simulate rain and snow with the current TSNOW parameter (32.0°F) and also evaluate potential changes to the TSNOW parameter. The findings of this analysis demonstrate the strengths and weaknesses of the current rain-snow simulation with the current model configuration and input data. Show less Illinois Water Science Center - Surface Water Investigations Group Project: Comparison of NEXRAD Multisensor Precipitation Estimates to Ground-based Precipitation Gage Observations This study analyzed the application of Next-Generation Radar (NEXRAD) Multisensor Precipitation Estimates (MPE) in the DuPage County, Illinois region. NEXRAD-MPE gridded data are compared to the U.S. Geological Survey tipping-gage network as well as ground-gage observations from the Community Collaborative… Show more Illinois Water Science Center - Surface Water Investigations Group Project: Comparison of NEXRAD Multisensor Precipitation Estimates to Ground-based Precipitation Gage Observations This study analyzed the application of Next-Generation Radar (NEXRAD) Multisensor Precipitation Estimates (MPE) in the DuPage County, Illinois region. NEXRAD-MPE gridded data are compared to the U.S. Geological Survey tipping-gage network as well as ground-gage observations from the Community Collaborative Rain, Hail & Snow Network (CoCoRaHS), and data is broken into two temperature defined categories attempting to separate frozen and liquid precipitation. The findings of this analysis demonstrate the applicability and reliability of NEXRAD-MPE for use in a streamflow simulation system. Project: Estimating the Rain-Snow Discrimination Temperature Parameter in the DuPage County Area, Illinois This project examined the rain-snow discrimination temperature in the DuPage County, Illinois region. Data from four Automated Surface Observing System (ASOS) sites in the study area are used to evaluate the frequency of rain and snow precipitation identification reports with the corresponding temperature data from the ASOS observations as well as the U.S. Department of Energy Argonne National Laboratory (ANL) data. The DuPage County Hydrologic Simulation Program-FORTRAN (HSPF) streamflow-simulation system uses a rain-snow temperature parameter, input air temperature, and input dew point temperature to simulate input precipitation as rain or snow. This study attempts to evaluate the performance of the HSPF model to simulate rain and snow with the current TSNOW parameter (32.0°F) and also evaluate potential changes to the TSNOW parameter. The findings of this analysis demonstrate the strengths and weaknesses of the current rain-snow simulation with the current model configuration and input data. Show less
-
-
-
Iowa State University
-
United States
-
Higher Education
-
700 & Above Employee
-
Research Assistant
-
May 2011 - Aug 2013
Graduate research project: This comprehensive hydrologic modeling project examined new methods for incorporating MODIS satellite-based potential evapotranspiration data into a distributed hydrologic model (HL-RDHM) in an effort to improve operational streamflow forecasts in the north central United States. Succesful thesis defense - July 2013.
-
-
Teaching Assistant
-
Aug 2011 - Dec 2012
Assisted professor with two semesters of an upper-level surface water hydrology class. Responsible for leading field work sections involving topics such as stream-gaging, channel surveys, and groundwater monitoring. Outstanding student evaluations in all areas.
-
-
-
National Weather Service Weather Forecast Office
-
Des Moines, Iowa
-
Volunteer Student Intern
-
Jan 2011 - May 2011
Hands on student training with current NWS employees learning the responsibilities of a full time weather/streamflow forecaster, recorded daily snowfall measurements, enhanced atmospheric/hydrologic forecasting skills, and refined communication and management skills while conducting past weather event simulator cases. Hands on student training with current NWS employees learning the responsibilities of a full time weather/streamflow forecaster, recorded daily snowfall measurements, enhanced atmospheric/hydrologic forecasting skills, and refined communication and management skills while conducting past weather event simulator cases.
-
-
-
WHO 13
-
United States
-
Broadcast Media Production and Distribution
-
1 - 100 Employee
-
Volunteer Intern
-
May 2010 - Aug 2010
Generated state-wide weekly weather forecasts, created television and webpage graphics for daily forecasts, developed on-camera communication skills, and assisted with live severe weather coverage. Generated state-wide weekly weather forecasts, created television and webpage graphics for daily forecasts, developed on-camera communication skills, and assisted with live severe weather coverage.
-
-
Education
-
2011 - 2013
Iowa State University
Master of Science (M.S.), Geology -
2007 - 2011
Iowa State University
Bachelor of Science (B.S.), Meteorology
Community
