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Alan H Rea, P.E. (Retired) (Former Employee)

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National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
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Community for Data Integration (CDI)
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National Stream Summarization: Standardizing Stream-Landscape Summaries

As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and
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Precision of headwater stream permanence estimates from a monthly water balance model in the Pacific Northwest, USA

Stream permanence classifications (i.e., perennial, intermittent, ephemeral) are a primary consideration to determine stream regulatory status in the United States (U.S.) and are an important indicator of environmental conditions and biodiversity. However, at present, no models or products adequately describe surface water presence for regulatory determinations. We modified the Thornthwaite monthl
Authors
Konrad Hafen, Kyle Blasch, Paul E. Gessler, Roy Sando, Alan H. Rea
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Ecosystems Mission Area, Water Resources Mission Area, Science Synthesis, Analysis and Research Program, National Geospatial Program, Northern Rocky Mountain Science Center, Idaho Water Science Center, Advanced Research Computing (ARC)

The influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications

National Hydrography Dataset (NHD) stream permanence classifications (SPC; perennial, intermittent, and ephemeral) are widely used for data visualization and applied science, and have implications for resource policy and management. NHD SPC were assigned using a combination of topographic field surveys and interviews with local residents. However, previous studies indicate that non‐NHD, in situ st
Authors
Konrad Hafen, Kyle Blasch, Alan H. Rea, Roy Sando, Paul Gessler
By
Water Resources Mission Area, Idaho Water Science Center

User's guide for the national hydrography dataset plus (NHDPlus) high resolution

The National Hydrography Dataset Plus High Resolution (NHDPlus HR) is a scalable geospatial hydrography framework built from the High Resolution (1:24,000-scale or better) National Hydrography Dataset (NHD), nationally complete Watershed Boundary Dataset (WBD), and ⅓-arc-second (10-meter ground spacing) 3D Elevation Program (3DEP) digital elevation model (DEM) data. The NHDPlus HR brings modeling
Authors
Richard B. Moore, Lucinda D. McKay, Alan H. Rea, Timothy R. Bondelid, Curtis V. Price, Thomas G. Dewald, Craig M. Johnston
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National Geospatial Program, National Hydrography

An integrated framework for ecological drought across riverscapes of North America

Climate change is increasing the severity and extent of extreme droughts events, posing a critical threat to freshwater ecosystems, particularly with increasing human demands for diminishing water supplies. Despite the importance of drought as a significant driver of ecological and evolutionary dynamics, current understanding of drought consequences for freshwater biodiversity is very limited. W
Authors
Ryan Kovach, Jason B. Dunham, Robert Al-Chokhachy, Craig Snyder, Erik A. Beever, Gregory T. Pederson, Abigail Lynch, Nathaniel P. Hitt, Christopher P. Konrad, Kristin Jaeger, Alan H. Rea, Adam J. Sepulveda, Patrick M. Lambert, Jason M. Stoker, J. Joseph Giersch, Clint C. Muhlfeld
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Ecosystems Mission Area, Climate Research and Development Program, Land Change Science Program, Northern Rocky Mountain Science Center

The Future

No abstract available.
Authors
David L. Blodgett, Alan H. Rea, Josh Lieberman

Flow-Conditioned Parameter Grid Tools

The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.

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Community for Data Integration (CDI), Wyoming-Montana Water Science Center

StreamStats Data Preparation Tools, version 4

A Python package to pre-process and hydro-enforce digital elevation models using hydrography features for use in the U.S. Geological Survey (USGS) StreamStats project.

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Wyoming-Montana Water Science Center
LAGOS-US Research Platform

LAGOS-US Research Platform

A new major research program for the interdisciplinary, continental-scale study of lakes through time, called LAGOS (Spanish for lakes), has been...

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Southeast Texas Flood Coordination Study (SETxFCS)

Southeast Texas Flood Coordination Study (SETxFCS)

Southeast Texas has experienced flooding severe enough for presidential disaster declarations five times in the last six years.

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Al Rea Retires

Al Rea Retires

We would like to take a moment to thank Al for his many years of leadership in Federal service working tirelessly to improve water data for the Nation...

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20 Years of Hydro News

20 Years of Hydro News

This year we mark 20 years of National Hydrography Dataset Newsletters! Jeff Simley distributed the first NHD Newsletter in November 2001. To...

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Announcing NEW National Hydrography Dataset Newsletter Delivery

Announcing NEW National Hydrography Dataset Newsletter Delivery

There's a new National Hydrography Dataset Listserv and fresh Newsletter look and feel!

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NHDPlus HR Beta Completed for CONUS!

NHDPlus HR Beta Completed for CONUS!

NHDPlus High Resolution (NHDPlus HR) Beta datasets are now available for CONUS, Hawaii, U.S. Territories, and parts of Alaska.

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Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset

Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and maximum d
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Community for Data Integration (CDI), Wyoming-Montana Water Science Center

Science and Products