Algorithmic Characterization of Lake Stratification and Deep Chlorophyll Layers From Depth Profiling Water Quality Data-Reference-Cited by-同舟云学术

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Algorithmic Characterization of Lake Stratification and Deep Chlorophyll Layers From Depth Profiling Water Quality Data

Published:2019-05 Issue:5 Volume:55 Page:3815-3834
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Xu Wenzhao¹^ORCID,Collingsworth Paris D.²^ORCID,Minsker Barbara³^ORCID

Affiliation:

1. Department of Civil and Environmental EngineeringUniversity of Illinois at Urbana–Champaign Urbana IL USA

2. Department of Forestry and Natural Resources and Illinois‐Indiana Sea GrantPurdue University West lafayette ID USA

3. Department of Civil and Environmental EngineeringSouthern Methodist University Dallas TX USA

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023975

Reference47 articles.

1. Mixing and the dynamics of the deep chlorophyll maximum in Lake Tahoe1

2. Lake Superior summer water temperatures are increasing more rapidly than regional air temperatures: A positive ice-albedo feedback

3. The Deep Chlorophyll Maximum in Lake Superior

4. Beneath the surface: Characteristics of oceanic ecosystems under weak mixing conditions – A theoretical investigation

5. Characteristics of the Thermal Regime of Lake Superior

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