Impact of lateral flow and spatial scaling on the simulation of semi‐arid urban land surfaces in an integrated hydrologic and land surface model

Understanding and representing hydrologic fluxes in the urban environment is challenging because of fine scale land cover heterogeneity and lack of coherent scaling relationships. Here, the impact of urban land cover heterogeneity, scale, and configuration on the hydrologic and surface energy budget (SEB) is assessed using an integrated, coupled land surface/hydrologic model at high spatial resolutions. Archetypes of urban land cover are simulated at varying resolutions using both the National Land Cover Database (NLCD; 30 m) and an ultra high-resolution land cover dataset (0.6 m). The analysis shows that the impact of highly organized, yet heterogeneous, land cover typical of the urban domain can cause large variations in hydrologic and energy fluxes within areas of similar land cover. The lateral flow processes that occur within each simulation create variations in overland flow of up to ±200% and ±4% in evapotranspiration. The impact on the SEB is smaller and largely restricted to the wet season for our semi-arid forcing scenarios. Finally, we find that this seasonal bias, predominantly caused by lateral flow, is displaced by a systematic diurnal bias at coarser resolutions caused by deficiencies in the method used for scaling of land surface and hydrologic parameters. As a result of this research, we have produced land surface parameters for the widely used NLCD urban land cover types. This work illustrates the impact of processes that remain unrepresented in traditional high-resolutions land surface models and how they may affect results and uncertainty in modeling of local water resources and climate. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Maria Tombrou,et al.  The International Urban Energy Balance Models Comparison Project: First Results from Phase 1 , 2010 .

[2]  Isabelle Braud,et al.  Assessing anthropogenic influence on the hydrology of small peri-urban catchments: Development of the object-oriented PUMMA model by integrating urban and rural hydrological models , 2014 .

[3]  H. Andrieu,et al.  Understanding, management and modelling of urban hydrology and its consequences for receiving waters: A state of the art , 2013 .

[4]  D. Mallants,et al.  Determining hydraulic properties of concrete and mortar by inverse modelling , 2012 .

[5]  Dan Rosbjerg,et al.  Land-surface modelling in hydrological perspective – a review , 2006 .

[6]  A. Molod,et al.  A global assessment of the mosaic approach to modeling land surface heterogeneity , 2002 .

[7]  J. Smith,et al.  A coupled energy transport and hydrological model for urban canopies evaluated using a wireless sensor network , 2013 .

[8]  John M. Sharp,et al.  Hydrogeologic considerations of urban development: Urban-induced recharge , 2005 .

[9]  Elie Bou-Zeid,et al.  Contribution of impervious surfaces to urban evaporation , 2014 .

[10]  David N. Lerner,et al.  Leaking Pipes Recharge Ground Water , 1986 .

[11]  S. Ashby,et al.  A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations , 1996 .

[12]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[13]  Mary Lynn Baeck,et al.  Analyses of Urban Drainage Network Structure and its Impact on Hydrologic Response 1 , 2010 .

[14]  M. Ek,et al.  Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water , 2011 .

[15]  Sarah Praskievicz,et al.  A review of hydrological modelling of basin-scale climate change and urban development impacts , 2009 .

[16]  C. Jacobson.  Identification and quantification of the hydrological impacts of imperviousness in urban catchments: a review. , 2011, Journal of environmental management.

[17]  E. Vivoni,et al.  Seasonal dynamics of a suburban energy balance in Phoenix, Arizona , 2014 .

[18]  Fotini Katopodes Chow,et al.  Coupling groundwater and land surface processes: Idealized simulations to identify effects of terrain and subsurface heterogeneity on land surface energy fluxes , 2010 .

[19]  Yaning Chen,et al.  Global perspective on hydrology, water balance, and water resources management in arid basins , 2009 .

[20]  A. Arnfield.  Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[21]  V. Masson.  Urban surface modeling and the meso-scale impact of cities , 2006 .

[22]  R. Dickinson,et al.  Coupling of the Common Land Model to the NCAR Community Climate Model , 2002 .

[23]  Wendy D. Graham,et al.  Improved hydrograph prediction through subsurface characterization: conditional stochastic hillslope simulations , 2014, Hydrogeology Journal.

[24]  Valéry Masson,et al.  A Physically-Based Scheme For The Urban Energy Budget In Atmospheric Models , 2000 .

[25]  S. Seneviratne,et al.  Investigating soil moisture-climate interactions in a changing climate: A review , 2010 .

[26]  R. Maxwell,et al.  Interdependence of groundwater dynamics and land-energy feedbacks under climate change , 2008 .

[27]  W. Shuster,et al.  Impacts of impervious surface on watershed hydrology: A review , 2005 .

[28]  Matthew F. McCabe,et al.  Impacts of model initialization on an integrated surface water–groundwater model , 2015 .

[29]  S. Guhathakurta,et al.  Impact of urban form and design on mid-afternoon microclimate in Phoenix Local Climate Zones , 2014 .

[30]  J. Wickham,et al.  Completion of the 2001 National Land Cover Database for the conterminous United States , 2007 .

[31]  Bruno Merz,et al.  An analysis of the effects of spatial variability of soil and soil moisture on runoff , 1997 .

[32]  Heather R. McCarthy,et al.  Drivers of variability in water use of native and non-native urban trees in the greater Los Angeles area , 2007, Urban Ecosystems.

[33]  Reed M. Maxwell,et al.  Influences of subsurface heterogeneity and vegetation cover on soil moisture, surface temperature and evapotranspiration at hillslope scales , 2011 .

[34]  R. Maxwell,et al.  A comparison of two physics-based numerical models for simulating surface water–groundwater interactions , 2010 .

[35]  E. Marciotto.  Variability of energy fluxes in relation to the net-radiation of urban and suburban areas: a case study , 2013, Meteorology and Atmospheric Physics.

[36]  O. Jorba,et al.  High Resolution Simulation of the Variability of Surface Energy Balance Fluxes Across Central London with Urban Zones for Energy Partitioning , 2013, Boundary-Layer Meteorology.

[37]  J. C. Packman,et al.  Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover , 2014 .

[38]  Weiqi Zhou,et al.  Evaluation of the National Land Cover Database for Hydrologic Applications in Urban and Suburban Baltimore, Maryland 1 , 2010 .

[39]  D. A. Woolhiser,et al.  Effects of Spatial Variability of Saturated Hydraulic Conductivity on Hortonian Overland Flow , 1996 .

[40]  Timothy R. Oke,et al.  Heat Storage in Urban Areas: Local-Scale Observations and Evaluation of a Simple Model , 1999 .

[41]  R. Maxwell,et al.  Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model , 2008 .

[42]  Marcel G. Schaap,et al.  Database-related accuracy and uncertainty of pedotransfer functions , 1998 .

[43]  R. Maxwell,et al.  Integrated surface-groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model , 2006 .

[44]  Van Genuchten,et al.  A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .

[45]  D. Lettenmaier,et al.  A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States* , 2002 .

[46]  Reed M. Maxwell,et al.  Development of a Coupled Land Surface and Groundwater Model , 2005 .

[47]  Mario Schirmer,et al.  Current research in urban hydrogeology – A review , 2013 .

[48]  David N. Lerner,et al.  Groundwater recharge in urban areas , 1990 .

[49]  L. A. Richards.  Capillary conduction of liquids through porous mediums , 1931 .

[50]  O. Barron,et al.  Effect of urbanisation on the water balance of a catchment with shallow groundwater , 2013 .

[51]  J. Sharp,et al.  Hydrogeological Impacts of Urbanization , 2012 .

[52]  H. McCarthy,et al.  Water relations of coast redwood planted in the semi-arid climate of southern California. , 2011, Plant, cell & environment.

[53]  Jan Vanderborght,et al.  Proof of concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources , 2010 .

[54]  Reed M. Maxwell,et al.  Spin‐up behavior and effects of initial conditions for an integrated hydrologic model , 2015 .

[55]  Joseph P. McFadden,et al.  Seasonal contributions of vegetation types to suburban evapotranspiration , 2011 .

[56]  R. Maxwell,et al.  A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3 , 2015 .

[57]  R. Maxwell.  A terrain-following grid transform and preconditioner for parallel, large-scale, integrated hydrologic modeling , 2013 .

[58]  John M. Sharp,et al.  Estimating Urban-Induced Artificial Recharge: A Case Study for Austin, TX , 2012 .

[59]  Mariana Vertenstein,et al.  An urban parameterization for a global climate model. Part II: Sensitivity to input parameters and the simulated urban heat island in offline simulations , 2008 .

[60]  Eric G. Reichard,et al.  Assessment of Regional Management Strategies for Controlling Seawater Intrusion , 2005 .

[61]  B. Lamptey.  An analytical framework for estimating the urban effect on climate , 2009 .

[62]  Michael J. Oimoen,et al.  The National Elevation Dataset , 2002 .

[63]  Matthew F. McCabe,et al.  Technical Note: Reducing the spin-up time of integrated surface water–groundwater models , 2014 .

[64]  Ragab Ragab,et al.  Experimental study of water fluxes in a residential area: 2. Road infiltration, runoff and evaporation , 2003 .

[65]  D. Lerner.  Identifying and quantifying urban recharge: a review , 2002 .

[66]  E. S. Krayenhoff,et al.  Initial results from Phase 2 of the international urban energy balance model comparison , 2011 .

[67]  Reed M. Maxwell,et al.  Quantifying the effects of subsurface heterogeneity on hillslope runoff using a stochastic approach , 2011 .

[68]  T. Harter,et al.  Upscaling Hydraulic Properties and Soil Water Flow Processes in Heterogeneous Soils: A Review , 2007 .

[69]  Analysis of the hydrological behaviour of an urbanizing basin , 2014 .

[70]  I. Emelyanova,et al.  Modelling the effects of climate and land cover change on groundwater recharge in south-west Western Australia , 2012 .

[71]  Peter Bayer,et al.  The Influence of Rain Sensible Heat and Subsurface Energy Transport on the Energy Balance at the Land Surface , 2009 .

[72]  Fabrice Rodriguez,et al.  A distributed hydrological model for urbanized areas - Model development and application to case studies , 2008 .

[73]  Bryan C. Pijanowski,et al.  Hydroclimatic response of watersheds to urban intensity: an observational and modeling-based analysis for the White River Basin, Indiana. , 2010 .

[74]  Reed M. Maxwell,et al.  The impact of subsurface conceptualization on land energy fluxes , 2013 .

[75]  Reed M. Maxwell,et al.  Quantifying the effects of three-dimensional subsurface heterogeneity on Hortonian runoff processes using a coupled numerical, stochastic approach , 2008 .

[76]  P. Taylor,et al.  Sensitivity of mesoscale model urban boundary layer meteorology to the scale of urban representation , 2011 .

[77]  Jim E. Jones,et al.  Approved for Public Release; Further Dissemination Unlimited Newton-krylov-multigrid Solvers for Large-scale, Highly Heterogeneous, Variably Saturated Flow Problems , 2022 .

[78]  Terri S. Hogue,et al.  Incorporating an Urban Irrigation Module into the Noah Land Surface Model Coupled with an Urban Canopy Model , 2014 .

[79]  M. Mccabe,et al.  Assessing the impact of model spin‐up on surface water‐groundwater interactions using an integrated hydrologic model , 2012 .

[80]  Ann Henderson-Sellers,et al.  Biosphere-atmosphere transfer scheme(BATS) version 1e as coupled to the NCAR community climate model , 1993 .

[81]  R. Dickinson,et al.  The Common Land Model , 2003 .

[82]  Andrew J. Miller,et al.  Untangling the effects of urban development on subsurface storage in Baltimore , 2015 .

[83]  Robert I. McDonald,et al.  Global Urban Growth and the Geography of Water Availability, Quality, and Delivery , 2011, AMBIO.

[84]  H. McCarthy,et al.  Transpiration sensitivity of urban trees in a semi-arid climate is constrained by xylem vulnerability to cavitation. , 2012, Tree physiology.

[85]  F. Kimura,et al.  Coupling a Single-Layer Urban Canopy Model with a Simple Atmospheric Model: Impact on Urban Heat Island Simulation for an Idealized Case , 2004 .

[86]  K. Oleson,et al.  An Urban Parameterization for a Global Climate Model. Part I: Formulation and Evaluation for Two Cities , 2008 .

[87]  Terri S. Hogue,et al.  High-resolution land surface modeling utilizing remote sensing parameters and the Noah UCM: a case study in the Los Angeles Basin , 2014 .

[88]  H. Andrieu,et al.  Surface runoff in urban catchments: morphological identification of unit hydrographs from urban databanks , 2003 .

[89]  Zhuguo Ma,et al.  Study on the effects of land surface heterogeneities in temperature and moisture on annual scale regional climate simulation , 2010 .

[90]  X. Sánchez-Vila,et al.  Introductory review of specific factors influencing urban groundwater, an emerging branch of hydrogeology, with reference to Barcelona, Spain , 2005 .