Improving Hydrological Models With the Assimilation of Crowdsourced Data-Reference-Cited by-同舟云学术

Improving Hydrological Models With the Assimilation of Crowdsourced Data

Published:2020-05 Issue:5 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Avellaneda P. M.¹^ORCID,Ficklin D. L.¹^ORCID,Lowry C. S.²^ORCID,Knouft J. H.³^ORCID,Hall D. M.⁴^ORCID

Affiliation:

1. Department of Geography Indiana University Bloomington IN USA

2. Department of Geology University at Buffalo Buffalo NY USA

3. Department of Biology Saint Louis University Saint Louis MO USA

4. Department of Biomedical, Biological and Chemical Engineering; School of Natural Resources University of Missouri Columbia MO USA

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR026325

Reference66 articles.

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3. Arnold JG Kiniry J. Srinivasan R. Williams J. Haney E. &Neitsch S. (2012).Soil and water assessment tool input/output file documentation version 2012. Texas Water Resources Institute Technical Report No. 439 Texas A&M University System College Station TX: Texas Water Resources Institute Technical Report No. 439 Texas A&M University System College Station TX.

4. Citizen observations contributing to flood modelling: opportunities and challenges

5. Improved stream temperature simulations in SWAT using NSGA‐II for automatic multi‐site calibration;Barnhart B. L.;Transactions of the ASABE,2014

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