Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E)

Mai, Juliane; Tolson, Bryan A.; Shen, Hongren; Gaborit, Étienne; Fortin, Vincent; Gasset, Nicolas; Awoye, Hervé; Stadnyk, Tricia A.; Fry, Lauren M.; Bradley, Emily A.; Seglenieks, Frank; Temgoua, André G. T.; Princz, Daniel G.; Gharari, Shervan; Haghnegahdar, Amin; Elshamy, Mohamed E.; Razavi, Saman; Gauch, Martin; Lin, Jimmy; Ni, Xiaojing; Yuan, Yongping; McLeod, Meghan; Basu, Nandita B.; Kumar, Rohini; Rakovec, Oldrich; Samaniego, Luis; Attinger, Sabine; Shrestha, Narayan K.; Daggupati, Prasad; Roy, Tirthankar; Wi, Sungwook; Hunter, Tim; Craig, James R.; Pietroniro, Alain

doi:10.1061/(asce)he.1943-5584.0002097

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Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E)

2021
By Mai, Juliane ; Tolson, Bryan A. ; Shen, Hongren ; ...
Source: Journal of Hydrologic Engineering, 26(9)

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Journal Title:

Journal of Hydrologic Engineering
Personal Author:

Mai, Juliane ; Tolson, Bryan A. ; Shen, Hongren ; Gaborit, Étienne ; Fortin, Vincent ; ... More +

Mai, Juliane ; Tolson, Bryan A. ; Shen, Hongren ; Gaborit, Étienne ; Fortin, Vincent ; Gasset, Nicolas ; Awoye, Hervé ; Stadnyk, Tricia A. ; Fry, Lauren M. ; Bradley, Emily A. ; Seglenieks, Frank ; Temgoua, André G. T. ; Princz, Daniel G. ; Gharari, Shervan ; Haghnegahdar, Amin ; Elshamy, Mohamed E. ; Razavi, Saman ; Gauch, Martin ; Lin, Jimmy ; Ni, Xiaojing ; Yuan, Yongping ; McLeod, Meghan ; Basu, Nandita B. ; Kumar, Rohini ; Rakovec, Oldrich ; Samaniego, Luis ; Attinger, Sabine ; Shrestha, Narayan K. ; Daggupati, Prasad ; Roy, Tirthankar ; Wi, Sungwook ; Hunter, Tim ; Craig, James R. ; Pietroniro, Alain Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) Less -
Description:

Hydrologic model intercomparison studies help to evaluate the agility of models to simulate variables such as streamflow, evapo- ration, and soil moisture. This study is the third in a sequence of the Great Lakes Runoff Intercomparison Projects. The densely populated Lake Erie watershed studied here is an important international lake that has experienced recent flooding and shoreline erosion alongside excessive nutrient loads that have contributed to lake eutrophication. Understanding the sources and pathways of flows is critical to solvethe complex issues facing this watershed. Seventeen hydrologic and land-surface models of different complexity are set up over this domain using the same meteorological forcings, and their simulated streamflows at 46 calibration and seven independent validation stations are compared. Results show that: (1) the good performance of Machine Learning models during calibration decreases significantly in validationdue to the limited amount of training data; (2) models calibrated at individual stations perform equally well in validation; and (3) most distributed models calibrated over the entire domain have problems in simulating urban areas but outperform the other models in validation.
Keywords:

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Civil And Structural Engineering Environmental Chemistry General Environmental Science Water Science And Technology
Source:

Journal of Hydrologic Engineering, 26(9)
DOI:

https://doi.org/10.1061/(asce)he.1943-5584.0002097
ISSN:

1084-0699;1943-5584;
Format:

PDF
Publisher:

American Society of Civil Engineers (ASCE)
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
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Main Document Checksum:

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urn:sha256:602e1f5973ebde55cce65cc1f16aff87dd4e3fd1e8ef7b596c55d8e117ac8871
Download URL:

https://repository.library.noaa.gov/view/noaa/53963/noaa_53963_DS1.pdf
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Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E)

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