Quantifying the Role of Ocean Dynamics in SST Variability across GCMs and Observations
RGMA
John Fasullo
NSF National Center for Atmospheric Research
2024-11
Quantifying the Occurrence of Record Hot years Through Normalized Warming Trends
ESMD
Xubin Zeng
University of Arizona
2021-05
Quantifying the long-term changes of terrestrial water storage and their driving factors
ESMD
RGMA
Jiafu Mao
Oak Ridge National Laboratory
2024-03
Quantifying the Influence of Natural Climate Variability on In Situ Measurements of Seasonal Total and Extreme Daily Precipitation
RGMA
Mark D. Risser
Lawrence Berkeley National Laboratory (LBNL)
2021-02
Quantifying the Influence of Cloud Radiative Feedbacks on Arctic Surface Warming Using Cloud Locking in an Earth System Model
RGMA
Brian Medeiros
National Center for Atmospheric Research (NCAR)
2020-08
Quantifying the Indirect Impacts of Climate on Agriculture: An Inter-Method Comparison
MSD
John Weyant
Stanford University
2017-10
Quantifying the Importance of Cryosuction in Permafrost-Rich Soils
ESMD
RGMA
MSD
Ethan Coon
Oak Ridge National Laboratory
2022-10
Quantifying the Impacts of Compound Extremes on Agriculture
MSD
John Weyant
Stanford University
2021-02
Quantifying the Impact of Cloud Uncertainties on Aerosol Effects
RGMA
Yun Qian
Pacific Northwest National Laboratory (PNNL)
2015-08
Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates
ESMD
MSD
William D. Collins
Lawrence Berkeley National Laboratory (LBNL)
2018-01
Quantifying the Agreement Between Observed and Simulated Extratropical MModes of Interannual Variability
RGMA
Jiwoo Lee
Lawrence Livermore National Laboratory (LLNL)
2019-04
Quantifying Streamflow Regime Behavior and its Sensitivity to Demand
RGMA
Naresh Devineni
City College of New York (CUNY)
2020-03
Quantifying Stochastic Ucertainty in Detection Time of Human-Caused Climate Signals
RGMA
Benjamin Santer
Lawrence Livermore National Laboratory (LLNL)
2019-10
Quantifying Sources of Subseasonal Prediction Skill in CESM2
RGMA
Jadwiga Richter
National Center for Atmospheric Research (NCAR)
2024-03
Quantifying Socio-Economic Uncertainty
MSD
Jennifer Morris
Massachusetts Institute of Technology (MIT)
2022-04
Quantifying Non-Renewable Groundwater Return-Flow and Re-Use in Global Irrigation
MSD
John Weyant
Stanford University
2017-03
Quantifying lake-Channel Connections on an Arctic River Delta
RGMA
Anastasia Piliouras
Pennsylvania State University
2024-04
Quantifying Impacts of Heat Waves on Power Grid Operation
MSD
Ian Kraucunas
Pacific Northwest National Laboratory (PNNL)
2016-12
Quantifying Human-Mediated Carbon Cycle Feedbacks
ESMD
Andrew D. Jones
Lawrence Berkeley National Laboratory (LBNL)
2018-10
Quantifying Heavy Precipitation Throughout the Entire Tropical Cyclone Life Cycle
RGMA
Kevin Reed
Stony Brook University
2022-10
Quantifying Feedbacks Between Energy Demand and Climate
MSD
Katherine Calvin
Pacific Northwest National Laboratory (PNNL)
2021-11
Quantifying Drivers of Carbon Dioxide Interannual Variability
RGMA
Gretchen Keppel-Aleks
University of Michigan
2014-11
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
MSD
Ian Kraucunas
Pacific Northwest National Laboratory (PNNL)
2019-05
Quantifying Dam-Induced Fluctuations in Streamflow Frequencies Across the Colorado River Basin
RGMA
Naresh Devineni
City College of New York (CUNY)
2021-10
Quantifying Contributions of Ozone Changes to Global and Arctic Warming During the Second Half of the Twentieth Century
RGMA
Aixue Hu
National Center for Atmospheric Research (NCAR)
2022-12
Quantifying Arctic Soot: What Drives the Climate-Changing Particle
RGMA
Philip Rasch
Pacific Northwest National Laboratory (PNNL)
2016-06
Quantification of Human Contribution to Soil Moisture-Based Terrestrial Aridity
RGMA
Jiafu Mao
Oak Ridge National Laboratory
2022-11
Quality Control for Community Based Sea Ice Model Development
ESMD
RGMA
Elizabeth Hunke
Los Alamos National Laboratory (LANL)
2018-08
QBO Changes in CMIP6 Climate Projections
RGMA
Jadwiga Richter
National Center for Atmospheric Research (NCAR)
2020-04
Python Framework Simplifies Drought Vulnerability Modeling in Colorado
MSD
Jennie Rice
Pacific Northwest National Laboratory
2024-04