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Larry K. Berg
Pacific Northwest National Laboratory
164Publications
22H-index
1,394Citations
Publications 164
Newest
#1Yunyan Zhang (LLNL: Lawrence Livermore National Laboratory)H-Index: 9
#2Takanobu Yamaguchi (CU: University of Colorado Boulder)H-Index: 11
Last.Graham Feingold (NOAA: National Oceanic and Atmospheric Administration)H-Index: 65
view all 4 authors...
#1Manish Shrivastava (PNNL: Pacific Northwest National Laboratory)H-Index: 12
#2Meinrat O. Andreae (KSU: King Saud University)H-Index: 117
Last.Chun Zhao (USTC: University of Science and Technology of China)H-Index: 30
view all 36 authors...
One of the least understood aspects in atmospheric chemistry is how urban emissions influence the formation of natural organic aerosols, which affect Earth’s energy budget. The Amazon rainforest, during its wet season, is one of the few remaining places on Earth where atmospheric chemistry transitions between preindustrial and urban-influenced conditions. Here, we integrate insights from several laboratory measurements and simulate the formation of secondary organic aerosols (SOA) in the Amazon ...
#1Kyo-Sun Sunny Lim (KNU: Kyungpook National University)
#2Laura Riihimaki (PNNL: Pacific Northwest National Laboratory)H-Index: 5
Last.Karen Johnson (BNL: Brookhaven National Laboratory)H-Index: 15
view all 9 authors...
AbstractA long-term climatology of classified cloud types has been generated for 13 years (1997-2009) over the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site for 7 cloud c...
#1William J. Shaw (PNNL: Pacific Northwest National Laboratory)H-Index: 23
#2Larry K. Berg (PNNL: Pacific Northwest National Laboratory)H-Index: 22
Last.James M. Wilczak (NOAA: National Oceanic and Atmospheric Administration)H-Index: 30
view all 13 authors...
AbstractIn 2015 the U.S. Department of Energy (DOE) initiated a 4-yr study, the Second Wind Forecast Improvement Project (WFIP2), to improve the representation of boundary layer physics and related...
#1James M. Wilczak (NOAA: National Oceanic and Atmospheric Administration)H-Index: 30
#2Mark T. Stoelinga (Vaisala)H-Index: 3
Last.Allen B. White (NOAA: National Oceanic and Atmospheric Administration)H-Index: 37
view all 36 authors...
AbstractThe Second Wind Forecast Improvement Project (WFIP2) is a U.S. Department of Energy (DOE)- and National Oceanic and Atmospheric Administration (NOAA)-funded program, with private-sector and...
#1Joseph B. Olson (CIRES: Cooperative Institute for Research in Environmental Sciences)H-Index: 10
#2Jaymes S. Kenyon (CIRES: Cooperative Institute for Research in Environmental Sciences)H-Index: 3
Last.Joel Cline (NOAA: National Oceanic and Atmospheric Administration)H-Index: 3
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CapsuleDeveloping operational numerical weather prediction models to improve wind energy forecasts by leveraging a multi-scale dataset from the second Wind Forecast Improvement Project field campai...
#1Sue Ellen Haupt (NCAR: National Center for Atmospheric Research)H-Index: 24
#2Branko Kosovic (NCAR: National Center for Atmospheric Research)H-Index: 22
Last.Gökhan Sever (Argonne National Laboratory)H-Index: 1
view all 18 authors...
CapsuleThis work has advanced coupled mesoscale to microscale modeling through the terra incognita, generating turbulence at the microscale, testing coupling techniques, and assessing results relev...
#1Jerome D. Fast (PNNL: Pacific Northwest National Laboratory)H-Index: 49
#2Larry K. Berg (PNNL: Pacific Northwest National Laboratory)H-Index: 22
Last.Heng Xiao (PNNL: Pacific Northwest National Laboratory)H-Index: 8
view all 7 authors...
#1Qi Tang (LLNL: Lawrence Livermore National Laboratory)H-Index: 6
#2Stephen A. Klein (LLNL: Lawrence Livermore National Laboratory)H-Index: 50
Last.X. Zheng (LLNL: Lawrence Livermore National Laboratory)H-Index: 3
view all 18 authors...
Abstract. Climate simulations with more accurate process-level representation at finer resolutions ( km) are a pressing need in order to provide more detailed actionable information to policy makers regarding extreme events in a changing climate. Computational limitation is a major obstacle for building and running high-resolution (HR, here 0.25 ∘ average grid spacing at the Equator) models (HRMs). A more affordable path to HRMs is to use a global regionally refined model (RRM), which only simul...
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