A simple, regionally parameterized model for predicting nonpoint source areas in the northeastern US

Archibald, J. A.; Buchanan, Brian; Fuka, Daniel R.; Georgakakos, Christine; Lyon, Steve W.; Walter, M. Todd

doi:10.1016/j.ejrh.2014.06.003

Cited by 21 publications

(35 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We simulated daily discharge, soil moisture, snowpack water equivalent, and groundwater storage with a modified version of JoFlo, the lumped model of Archibald et al (2014). This model has previously been applied to evaluate broad patterns of surface runoff (Knighton, Pleiss, et al, 2019) and forest cover change (Singh et al, 2019) across CONUS, as well as in catchment-scale studies of stable water isotope dynamics (Knighton et al, 2017) and nutrient transport (Georgakakos et al, 2018).…”

Section: Rwu Parameter Estimationmentioning

confidence: 99%

“…Surface runoff and infiltration partitioning was determined via a Curve Number approach that reflects variable source area hydrology (Archibald et al, 2014). Daily potential evapotranspiration (PET) was determined with the Priestly-Taylor equation as described in Archibald & Walter, 2013 Snowpack accumulation and melt dynamics were determined with the land surface energy balance of Todd Walter et al (2005).…”

Section: Rwu Parameter Estimationmentioning

confidence: 99%

See 1 more Smart Citation

Understanding Catchment‐Scale Forest Root Water Uptake Strategies Across the Continental United States Through Inverse Ecohydrological Modeling

Knighton

Singh

Evaristo

2020

Geophysical Research Letters

View full text Add to dashboard Cite

Trees influence the partitioning of water between catchment water yield and evapotranspiration through mediation of soil water via root water uptake (RWU). Recent research has estimated the depth of RWU for a variety of tree species at plot scales with measurements of stable isotopes in water and sap flux. Though informative, there are some challenges bridging the gap between plot‐ and catchment‐scale water fluxes. We estimated catchment‐scale tree RWU behavior for 139 forested catchments across the continental United States from continuous streamflow records with inverse ecohydrological modeling. Our catchment‐scale RWU estimates agreed well with existing plot‐scale research. Monoculture catchments dense with trees reliant on shallow soil water exhibited reduced transpiration losses compared to deep‐rooted and mixed‐species forests within the Budkyo framework. This research highlights the importance of representing plant characteristics that define RWU control of transpiration in land surface and earth systems models.

show abstract

Section: Rwu Parameter Estimationmentioning

confidence: 99%

Section: Rwu Parameter Estimationmentioning

confidence: 99%

Understanding Catchment‐Scale Forest Root Water Uptake Strategies Across the Continental United States Through Inverse Ecohydrological Modeling

Knighton

Singh

Evaristo

2020

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…Investigating the dynamics of runoff generating contributing areas is important not only to understand streamflow generation processes but also to identify priority areas in the catchment for implementing effective water resource protection measures [White et al, 2009;Archibald et al, 2014]. There have been several field-based studies and modeling efforts to properly understand contributing area hydrology in several diverse locations [Beven et al, 1984;Hewlett and Troedle, 1975;Iorgulescu and Jordan, 1994;Phillips et al, 2011;Mengistu et al, 2014].…”

Section: Introductionmentioning

confidence: 99%

Testing the ability of a semidistributed hydrological model to simulate contributing area

Mengistu

Spence

2016

Water Resources Research

View full text Add to dashboard Cite

A dry climate, the prevalence of small depressions, and the lack of a well‐developed drainage network are characteristics of environments with extremely variable contributing areas to runoff. These types of regions arguably present the greatest challenge to properly understanding catchment streamflow generation processes. Previous studies have shown that contributing area dynamics are important for streamflow response, but the nature of the relationship between the two is not typically understood. Furthermore, it is not often tested how well hydrological models simulate contributing area. In this study, the ability of a semidistributed hydrological model, the PDMROF configuration of Environment Canada's MESH model, was tested to determine if it could simulate contributing area. The study focused on the St. Denis Creek watershed in central Saskatchewan, Canada, which with its considerable topographic depressions, exhibits wide variation in contributing area, making it ideal for this type of investigation. MESH‐PDMROF was able to replicate contributing area derived independently from satellite imagery. Daily model simulations revealed a hysteretic relationship between contributing area and streamflow not apparent from the less frequent remote sensing observations. This exercise revealed that contributing area extent can be simulated by a semi‐distributed hydrological model with a scheme that assumes storage capacity distribution can be represented with a probability function. However, further investigation is needed to determine if it can adequately represent the complex relationship between streamflow and contributing area that is such a key signature of catchment behavior.

show abstract

“…The inability of the Bartlett et al [2016] method to predict nonstandard rainfall-runoff behaviors such as the violent and complacent watershed behaviors identified by Hawkins [1990Hawkins [ , 1993 further demonstrates the incompleteness of the method. Although several studies have calibrated or curve-fit the CN parameter to specific watersheds [e.g., Schneiderman et al, 2007;Easton et al, 2008, Shaw andWalter, 2009] or regions [Archibald et al, 2014], the reliability of the method cannot be evaluated a priori. This renders its use highly uncertain, especially for predicting land use change effects.…”

Section: 1002/2016wr020176mentioning

confidence: 99%

Comment on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response” by M. S. Bartlett et al.

Ogden

Hawkins

Walter

et al. 2017

Water Resources Research

View full text Add to dashboard Cite

Bartlett et al. (2016) performed a re‐interpretation and modification of the space‐time lumped USDA NRCS (formerly SCS) Curve Number (CN) method to extend its applicability to forested watersheds. We believe that the well documented limitations of the CN method severely constrains the applicability of the modifications proposed by Bartlett et al. (2016). This forward‐looking comment urges the research communities in hydrologic science and engineering to consider the CN method as a stepping stone that has outlived its usefulness in research. The CN method fills a narrow niche in certain settings as a parsimonious method having utility as an empirical equation to estimate runoff from a given amount of rainfall, which originated as a static functional form that fits rainfall‐runoff data sets. Sixty five years of use and multiple reinterpretations have not resulted in improved hydrological predictability using the method. We suggest that the research community should move forward by (1) identifying appropriate dynamic hydrological model formulations for different hydro‐geographic settings, (2) specifying needed model capabilities for solving different classes of problems (e.g., flooding, erosion/sedimentation, nutrient transport, water management, etc.) in different hydro‐geographic settings, and (3) expanding data collection and research programs to help ameliorate the so‐called “overparameterization” problem in contemporary modeling. Many decades of advances in geo‐spatial data and processing, computation, and understanding are being squandered on continued focus on the static CN regression method. It is time to truly “move beyond” the Curve Number method.

show abstract

A simple, regionally parameterized model for predicting nonpoint source areas in the northeastern US

Cited by 21 publications

References 34 publications

Understanding Catchment‐Scale Forest Root Water Uptake Strategies Across the Continental United States Through Inverse Ecohydrological Modeling

Understanding Catchment‐Scale Forest Root Water Uptake Strategies Across the Continental United States Through Inverse Ecohydrological Modeling

Testing the ability of a semidistributed hydrological model to simulate contributing area

Comment on “Beyond the SCS‐CN method: A theoretical framework for spatially lumped rainfall‐runoff response” by M. S. Bartlett et al.

Contact Info

Product

Resources

About