L
Laurent Longuevergne
Researcher at University of Rennes
Publications - 99
Citations - 9244
Laurent Longuevergne is an academic researcher from University of Rennes. The author has contributed to research in topics: Groundwater & Aquifer. The author has an hindex of 38, co-authored 90 publications receiving 7001 citations. Previous affiliations of Laurent Longuevergne include Centre national de la recherche scientifique & University of Texas at Austin.
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Journal ArticleDOI
Ground water and climate change
Richard G. Taylor,Bridget R. Scanlon,Petra Döll,Matthew Rodell,Rens van Beek,Yoshihide Wada,Laurent Longuevergne,Marc Leblanc,James S. Famiglietti,Mike Edmunds,Leonard F. Konikow,Timothy R. Green,Jianyao Chen,Makoto Taniguchi,Marc F. P. Bierkens,Alan MacDonald,Ying Fan,Reed M. Maxwell,Yossi Yechieli,Jason J. Gurdak,Diana M. Allen,Mohammad Shamsudduha,Kevin M. Hiscock,Pat J.-F. Yeh,Ian P. Holman,Holger Treidel +25 more
TL;DR: In this paper, the authors critically review recent research assessing the impacts of climate on ground water through natural and human-induced processes as well as through groundwater-driven feedbacks on the climate system, and highlight the possible opportunities and challenges of using and sustaining groundwater resources in climate adaptation strategies.
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Groundwater depletion and sustainability of irrigation in the US High Plains and Central Valley
Bridget R. Scanlon,Claudia C. Faunt,Laurent Longuevergne,Robert C. Reedy,William M. Alley,Virginia L. McGuire,Peter B. McMahon +6 more
TL;DR: Increasing water storage through artificial recharge of excess surface water in aquifers by up to 3 km3 shows promise for coping with droughts and improving sustainability of groundwater resources in the Central Valley.
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The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins
Zong-Liang Yang,Guo Yue Niu,Guo Yue Niu,Kenneth E. Mitchell,Fei Chen,Michael Ek,Michael Barlage,Laurent Longuevergne,Kevin W. Manning,Dev Niyogi,Mukul Tewari,Youlong Xia +11 more
TL;DR: In this paper, the augmented Noah land surface model described in the first part of the two-part series was evaluated over global river basins across various climate zones, across various weather zones, and in addition, global-scale tests can reveal a model's weaknesses and strengths that a local-scale testing cannot.
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Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
TL;DR: In this article, the authors compared uncertainty in evapotranspiration (ET) output from four land surface models (LSMs), Noah, Mosaic, VIC, and SAC in NLDAS-2, two remote sensing-based products, MODIS and AVHRR, and GRACE-inferred ET from a water budget with precipitation from PRISM, monitored runoff, and total water storage change (TWSC) from GRACE satellites.
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Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data
Bridget R. Scanlon,Zizhan Zhang,Himanshu Save,Alexander Y. Sun,Hannes Müller Schmied,Ludovicus P. H. van Beek,David N. Wiese,Yoshihide Wada,Yoshihide Wada,Di Long,Robert C. Reedy,Laurent Longuevergne,Petra Döll,Marc F. P. Bierkens +13 more
TL;DR: The inability of models to capture large decadal water storage trends based on GRACE indicates that model projections of climate and human-induced water storage changes may be underestimated.