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Authors: Erkan Istanbulluoglu · Sai Siddhartha Nudurupati · Greg Tucker
Owners: Erkan Istanbulluoglu
Resource type:Generic
Created:May 24, 2017, 8:05 p.m.
Last updated: May 24, 2017, 8:31 p.m. by Erkan Istanbulluoglu

Abstract

This model driver couples ecohydrologic processes of solar radiation, probabilistic soil moisture, annual net primary productivity, detachment limited fluvial erosion and hillslope diffusion mediated by biomass.

Literature: The radiation model and radiation ratios are based on methods in Bras, R. L.: Hydrology: an introduction to hydrologic science, Addison Wesley Publishing Company, Boston, Mass., USA, 643 pp., 1990.

Soil mositure model is based on: Porporato et al 2004: Porporato, A., Daly, E., & Rodriguez‐Iturbe, I. (2004). Soil water balance and ecosystem response to climate change. The American Naturalist, 164(5), 625-632.

Biomass is considerd to reflect the highest grass/shrubland biomass [gr/m2] in a year (Annual Primary Productivity) and calculated as a function of mean annual actual ET scaled by plant water stress. ANPP equation used is from: Webb WL, Szarek SR, Lauenroth WK, Kinerson RS. 1978. Primary productivity and water use in native forest, grassland, and desert ecosystems. Ecology 59(6): 1239–1247. DOI: 10.2307/1938237

This notebook is developed by Erkan Istanbulluoglu (UW), Sai Nudurupati (UW), Greg Tucker (CU)

Subject

ecohydrology,Radiation,Aspect,landscape evolution

How to cite

Istanbulluoglu, E., S. S. Nudurupati, G. Tucker (2017). Radiation controlled landscape evolution model, HydroShare, http://www.hydroshare.org/resource/6e0cb2146c3e4f2f92ae8a74cb4f3bdd

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone
Erkan Istanbulluoglu University of Washington
Sai Siddhartha Nudurupati University of Washington - Seattle WA, US 4026170098
Greg Tucker

Credits

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NSF

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