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Coupling Eco-hydrologic Components in the Landlab Modeling FrameworkSai Nudurupati1, Erkan Istanbulluoglu1, Jordan M. Adams2, Nicole M. Gasparini2, Gregory E. Tucker3, Eric Hutton4, and Daniel Hobley3

1 Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA2 Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA, USA

3 CIRES and Department of Geological Sciences, University of Colorado, Boulder, CO, USA4 Community Surface Dynamics Modeling System (CSDMS), University of Colorado, CO, USA

ABSTRACT

In arid and semi-arid regions, geomorphic response of a catchment is tightly coupledwith Eco-hydrologic dynamics. Climate-driven biotic and abiotic processes stronglyinfluence land-surface-atmosphere interactions and thus play an important role inlandscape evolution. Landscape Evolution Models (LEMs) provide a platform forscientists to quantitatively understand these complex interactions by exploringtestable hypotheses. Hydrology and vegetation dynamics are thus criticalcomponents of these LEMs. This work illustrates the development of suchcomponents and model-building by coupling fluvial and ecohydrologic components inthe Landlab modeling environment. The Landlab is a component based frameworkfor 2D numerical modeling, coded in Python. It provides a gridding module andallows users to either configure a model from scratch or use existing components. Wepresent a coupled vegetation dynamics model where vegetation is simulated basedon inputs from stochastic precipitation generator, radiation component, potentialevapotranspiration component and soil moisture component. This workdemonstrates the flexibility of the Landlab and also highlights the advantages ofcomponent-based approach.

THE LANDLAB

ECOHYDROLOGY & GEOMORPHOLOGY

COUPLED ECOHYDROLOGY MODEL

Storm Generator: generates rectangular Poisson distributed storms

Radiation (RAD): calculates daily spatially distributed solar radiation

Potential Evapotranspiration (PET): uses solar radiation fields and weather variables tocalculate PET at each model element

Soil Moisture: solves root zone water balance between two storms given PET and rainfall fieldsand returns actual evapotranspiration and soil moisture at the end of the inter storm duration

Single Vegetation: computes net primary productivity based on actual evapotranspiration andcalculates leaf area index and biomass

MODEL CONFIRMATION

PSEUDO CODE

REFERENCES

1. Tucker, Gregory E., et al. "An object-oriented framework for distributed hydrologic and geomorphic modeling using triangulated irregular networks."Computers & Geosciences 27.8 (2001): 959-973.

2. Istanbulluoglu, Erkan., et al. "Evaluation of ecohydrologic model parsimony at local and regional scales in a semiarid grassland

ecosystem." Ecohydrology 5.1 (2012): 121-142.

Fig. 1: Landlab Architecture

Fig. 2: Connection between Ecohydrology and Geomorphology

Fig. 3: Point Model Validation of Leaf Area Index at Nebraska Sand Hills

Fig. 4: Spatial Distribution of Leaf Area Index and Biomass Production

Model was driven by observed dailystorms at the Sand Hills of Nebraskawhere grass is the dominantvegetation type. Model confirmationwas done against observed soilmoisture and leaf area index fromobservations and satellite data.