Results 131 to 140 of about 430 (169)

Impacts of irrigation expansion on moist-heat stress: first results from IRRMIP

Yao Y, Ducharne A, Cook B, De Hertog S, Aas K, Arboleda-Obando P, Buzan J, Colin J, Costantini M, Decharme B, Lawrence D, Lawrence P, Leung LR, Lo M, Narayanappa D, Wieder W, Wu R, Zhou T, Jaegermeyr J, McDermid S, Pokhrel Y, Elling M, Hanasaki N, Muñoz P, Nazarenko L, Otta K, Satoh Y, Yokohata T, Jin L, Wang X, Mishra V, Ghosh S, Thiery W.   +32 more
europepmc   +1 more source

Drivers and impacts of sediment deposition in Amazonian floodplains. [PDF]

Nat Commun
Feng D, Tan Z, Pinel S, Xu D, Amaral JHF, Fassoni-Andrade AC, Bonnet MP, Bisht G.   +7 more
europepmc   +1 more source

Recent cloud trends and extremes reaffirm moderate climate sensitivity

Zelinka M, Myers T, Qin Y, Chao L, Klein S, Po-Chedley S, Ma P, Wall C, Ceppi P, Gettelman A.   +9 more
europepmc   +1 more source

Spatially resolved emulated annual temperature projections for overshoot pathways. [PDF]

Sci Data
Schwaab J, Hauser M, Lamboll RD, Beusch L, Gudmundsson L, Quilcaille Y, Lejeune Q, Schöngart S, Schleussner CF, Nath S, Rogelj J, Nicholls Z, Seneviratne SI.   +12 more
europepmc   +1 more source

Moderate global warming does not rule out extreme global climate outcomes. [PDF]

Nature
Bevacqua E, Fischer E, Sillmann J, Zscheischler J.   +3 more
europepmc   +1 more source

Assessing the Pathways of Atlantic Meridional Overturning Circulation in E3SM

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Accelerating the Performance of Modal Aerosol Module of E3SM Using OpenACC

2020
Using GPUs to accelerate the performance of HPC applications has recently gained great momentum. Energy Exascale Earth System Model (E3SM) is a state-of-the-science earth system model development and simulation project and has gained national recognition. It has a large code base with over a million lines of code.
Hongzhang Shan, Zhengji Zhao, Marcus Wagner   +2 more
openaire   +1 more source

Super Resolution Reconstruction of E3SM Data Using a FSRCNN

2021
We present a first application of a novel computationally efficient fast super resolution convolutional neural network (FSRCNN) approach for downscaling climate simulations.
Linsey Sara Passarella, Salil Mahajan, Anikesh Pal, Matthew Ross Norman   +3 more
openaire   +1 more source

Modes of Variability in E3SM and CESM Large Ensembles

Journal of Climate
Abstract An adequate characterization of internal modes of climate variability (MoV) is a prerequisite for both accurate seasonal predictions and climate change detection and attribution. Assessing the fidelity of climate models in simulating MoV is therefore essential; however, doing so is complicated by the large intrinsic variations in MoV and the ...
John T. Fasullo, Julie M. Caron, Adam Phillips, Hui Li, Jadwiga H. Richter, Richard B. Neale, Nan Rosenbloom, Gary Strand, Sasha Glanville, Yuanpu Li, Flavio Lehner, Gerald Meehl, Jean-Christophe Golaz, Paul Ullrich, Jiwoo Lee, Julie Arblaster   +15 more
openaire   +1 more source