Identifying Spatial Patterns of Hydrologic Drought over the Southeast US Using Retrospective National Water Model Simulations

Given the sensitivity of natural environments to freshwater availability in the Southeast US, as well as the reliance of many municipal and commercial water consumers on surface water supplies, specific issues related to low river streamflow are apparent. As a result, the need for quantifying the spatial distribution, frequency, and intensity of low flow events (a.k.a., hydrologic drought) is critical to define areas most susceptible to water shortages and subsequent environmental and societal risk. To that end, daily mean discharge values from the National Water Model (NWM) retrospective data (v. 2.0) are used to assess low flow frequency, intensity, and spatial distribution within the Southeast US. Low flow events are defined using the US EPA 7Q10 approach, based on the flow duration curve (FDC) developed using a 1993–2018 period of record. Results reflect the general climatological patterns of the region, with a higher probability of low flow events occurring during the warm season (June–August) while low flow events in the cool season (January–March) are generally less common and have a higher average discharge. Spatial analysis shows substantial regional variability, with an area from southeastern Mississippi through central South Carolina showing higher low flow event frequency during the cool season. This same area is also highlighted in the warm season, albeit along a more expansive area from central Alabama into the piedmont region of North Carolina. Results indicate that the NWM retrospective data are able to show general patterns of hydrologic drought across the Southeast US, although local-scale assessment is limited due to potential issues associated with infiltration and runoff during periods of warm-season convective rainfall.

[1]  J. Thepaut,et al.  The ERA5 global reanalysis , 2020, Quarterly Journal of the Royal Meteorological Society.

[2]  C. Hansen,et al.  Assessing Retrospective National Water Model Streamflow with Respect to Droughts and Low Flows in the Colorado River Basin , 2019, JAWRA Journal of the American Water Resources Association.

[3]  K. Trenberth,et al.  Climate Change and Drought: a Perspective on Drought Indices , 2018, Current Climate Change Reports.

[4]  D. Maidment,et al.  Towards Real‐Time Continental Scale Streamflow Simulation in Continuous and Discrete Space , 2018 .

[5]  David R. Maidment,et al.  Conceptual Framework for the National Flood Interoperability Experiment , 2017 .

[6]  Bellie Sivakumar,et al.  Natural hazards in Australia: droughts , 2016, Climatic Change.

[7]  J. Vogt,et al.  Estimating drought risk across Europe from reported drought impacts, drought indices, and vulnerability factors , 2015 .

[8]  Steven L. Markstrom,et al.  Effects of Climate and Land Cover on Hydrology in the Southeastern U.S.: Potential Impacts on Watershed Planning , 2015 .

[9]  V. Singh,et al.  Spatiotemporal behavior of floods and droughts and their impacts on agriculture in China , 2015 .

[10]  J. Marengo,et al.  Extreme seasonal droughts and floods in Amazonia: causes, trends and impacts , 2015 .

[11]  I. Yucel,et al.  Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall , 2015 .

[12]  N. McIntyre,et al.  Catchment scale hydrological modelling: a review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications , 2011 .

[13]  M. Hayes,et al.  Measuring Economic Impacts of Drought: A Review and Discussion , 2011 .

[14]  C. Laymon,et al.  Impact of 20 Years of Land‐Cover Change on the Hydrology of Streams in the Southeastern United States 1 , 2010 .

[15]  Gary W. Yohe,et al.  Characterizing changes in drought risk for the United States from climate change , 2010 .

[16]  Ge Sun,et al.  Impacts of Multiple Stresses on Water Demand and Supply Across the Southeastern United States 1 , 2008 .

[17]  Michael J. Hayes,et al.  Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness , 2007 .

[18]  M. Svoboda,et al.  Complex influences of meteorological drought time-scales on hydrological droughts in natural basins of the contiguous Unites States , 2019, Journal of Hydrology.

[19]  A. V. van Loon Hydrological drought explained , 2015 .

[20]  Peter Troch,et al.  Dealing with Landscape Heterogeneity in Watershed Hydrology: A Review of Recent Progress toward New Hydrological Theory , 2009 .