Development and application of a hydroclimatological stream temperature model within the Soil and Water Assessment Tool-Reference-Cited by-同舟云学术

Development and application of a hydroclimatological stream temperature model within the Soil and Water Assessment Tool

Published:2012-01 Issue:1 Volume:48 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ficklin Darren L.,Luo Yuzhou,Stewart Iris T.,Maurer Edwin P.

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2011WR011256/fullpdf

Reference52 articles.

1. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT;Abbaspour;J. Hydrol.,2007

2. Large area hydrologic modeling and assessment Part I: Model development;Arnold;J. Am. Water Resour. Assoc.,1998

3. Beschta , R. L. J. Weatherred 1984 TEMP-84: A Computer Model for Predicting Stream Temperatures Resulting from the Management of Streamside Vegetation

4. Bicknell , B. R. J. C. Imhoff A. S. Donigian R. C. Johanson 1997 Hydrological simulation program-FORTRAN (HSPF). User's Manual for release United States Environmental Protection Agency Athens, GA.

Cited by 98 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning model for estimating the temperature of small rivers using satellite-based spatial data;Remote Sensing of Environment;2024-09

2. Hyporheic exchange flows in a mountainous river catchment identified by distributed temperature sensing;River Research and Applications;2024-05-08

3. A High‐Resolution, Daily Hindcast (1990–2021) of Alaskan River Discharge and Temperature From Coupled and Optimized Physical Models;Water Resources Research;2024-04

4. Comparative Performance Assessment of Physical-Based and Data-Driven Machine-Learning Models for Simulating Streamflow: A Case Study in Three Catchments across the US;Journal of Hydrologic Engineering;2024-04

5. How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling;Environmental Modelling & Software;2024-01