A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range-Reference-Cited by-同舟云学术

A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range

Published:2017-11 Issue:7 Volume:9 Page:2526-2544
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Stewart J. R.¹,Livneh B.¹²^ORCID,Kasprzyk J. R.¹^ORCID,Rajagopalan B.¹²,Minear J. T.²,Raseman W. J.¹^ORCID

Affiliation:

1. Department of Civil, Environmental, and Architectural Engineering; University of Colorado; Boulder CO USA

2. Cooperative Institute for Research in Environmental Sciences; University of Colorado; Boulder CO USA

Funder

U.S. Environmental Protection Agency

“National Priorities: Systems-Based Strategies to Improve the Nation's Ability to Plan and Respond to Water Scarcity and Drought Due to Climate Change,”

NSF

University of Colorado Boulder

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017MS001120/fullpdf

Reference81 articles.

1. Geomorphic Controls on Andean Denudation Rates;Aalto;Journal of Geology,2006

2. A new look at the statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

3. A review of hillslope and watershed scale erosion and sediment transport models;Aksoy;CATENA,2005

4. Large area hydrologic modeling and assessment part I: Model development1;Arnold;Journal of the American Water Resources Association,1998

5. The future of distributed models: Model calibration and uncertainty prediction;Beven;Hydrological Processes,1992

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