A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
Jory S Hecht, PhD
Dr. Jory Hecht is a statistical hydrologist with an interdisciplinary water resources and social-environmental systems modeling background.
In 2019, Jory came to the U.S. Geological Survey to work on the Flood Frequency for Hydraulic Design project funded by the Federal Highway Administration and has since become a member of numerous project teams in the Water Resources Mission Area, including the Integrated Water Availability Assessments (IWAAs) Trends and Drivers project (methods team lead) and National Drought Prediction project. He is also one of the USGS representatives to the Science Subgroup of the Interagency Flood Resilience Working Group and co-coordinates the Hydrologic Extremes Working Group (HEWG) of the USGS Water Resource Mission Area’s Modeling Community of Practice.
Prior to coming to the U.S. Geological Survey, Jory worked as a postdoctoral research associate at the University of Vermont, where he simulated the effects of climate change on cyanobacteria blooms in Lake Champlain. He obtained his doctoral degree in Environmental and Water Resources Engineering in 2017, where he also was a fellow in the interdisciplinary Water Diplomacy program. He has also conducted international development work in numerous Latin American countries and southeast Asia. While most of his recent USGS work has been statistical, Jory also has a background in climate change planning, water-resources management, decision-support methods, and geography and enjoys opportunities to weave these other interests into his USGS work.
Professional Experience
2019-present: Hydrologist, Integrated Modeling and Prediction Division, Water Resources Mission Area, U.S. Geological Survey
2017-2019: Postdoctoral Research Associate, Vermont EPSCoR, University of Vermont
2013-2016: Graduate Research Assistant, Tufts University
2011-2013: NSF-IGERT Water Diplomacy Fellow, Tufts University
2009-2011: Graduate Research Assistant, Illinois State Water Survey
2009: Graduate Teaching Assistant, University of Illinois at Urbana-Champaign
2007-2008: Assistant Professional Scientist, Illinois State Water Survey
2004-2006: Graduate Teaching Assistant, University of California - Santa Barbara
2004: Administrative Coordinator, Central American Refugee Committee, Oakland
2002-2003: NGO volunteer, San Mateo Ixtatán, Guatemala
Education and Certifications
Ph.D., Environmental and Water Resources Engineering, Tufts University, 2017
M.Sc., Civil and Environmental Engineering - Hydrology and Hydraulics, University of Illinois at Urbana-Champaign, 2011
M.A., Geography, University of California - Santa Barbara, 2007
B.A., Geography, International Development and Social Change, Clark University, 2002
Science and Products
Identifying post-reservoir construction periods for monotonic trend analysis at streamgages in the United States (ver. 2.0, October 2024)
Long-term monotonic trends in annual groundwater metrics in the United States through 2020
Long-term water-quality trends for rivers and streams within the contiguous United States using Weighted Regressions on Time, Discharge, and Season (WRTDS)
Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (ver. 2.0, October 2024)
Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release
Data for simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
Low-flow period seasonality, trends, and climate linkages across the United States
Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement
A conceptual workflow for projecting future riverine and coastal flood hazards to support the federal flood risk management standard
Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY
A hydrologic perspective of major U.S. droughts
Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States
Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century
The next frontier: Making research more reproducible
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Identifying post-reservoir construction periods for monotonic trend analysis at streamgages in the United States (ver. 2.0, October 2024)
Long-term monotonic trends in annual groundwater metrics in the United States through 2020
Long-term water-quality trends for rivers and streams within the contiguous United States using Weighted Regressions on Time, Discharge, and Season (WRTDS)
Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (ver. 2.0, October 2024)
Low-Flow Period Seasonality, Trends, and Climate Linkages Across the United States Data Release
Data for simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical river showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
A cross-sectional view of a hypothetical coastline showing one possible arrangement of the three Federal Flood Risk Management Standard (FFRMS) floodplain elevations (Climate-Informed Science Approach, the Freeboard Value Approach, and the 0.2% Annual-Chance Flood Approach) above the current Base Flood Elevation, i.e., the 1% annual-chance flood elevation.
Low-flow period seasonality, trends, and climate linkages across the United States
Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement
A conceptual workflow for projecting future riverine and coastal flood hazards to support the federal flood risk management standard
Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY
A hydrologic perspective of major U.S. droughts
Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States
Going beyond low flows: Streamflow drought deficit and duration illuminate distinct spatiotemporal drought patterns and trends in the U.S. during the last century
The next frontier: Making research more reproducible
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.