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- Quantifying adiabatic motion in the outer radiation belt and ring current with invariant matching
- Quantifying adsorption of amino acids and surfactants on Au {111} surfaces in aqueous solution
- Quantifying albedo susceptibility biases in shallow clouds
- Quantifying and Addressing Parameter Indeterminacy in the Classical Twin Design
- Quantifying and addressing parameter indeterminacy in the classical twin design
- Quantifying and evaluating the impacts of cooperation in transboundary river basins on the Water-Energy-Food nexus: The Blue Nile Basin
- Quantifying and visualizing language diversity of Hong Kong using Twitter
- Quantifying anomalies of air pollutants in 9 US cities during 2020 due to COVID-19 lockdowns and wildfires based on decadal trends
- Quantifying Antarctic-Wide Ice-Shelf Surface Melt Volume Using Microwave and Firn Model Data: 1980 to 2021
- Quantifying Arctic ozone loss during the 2004-2005 winter using satellite observations and a chemical transport model
- Quantifying atmospheric methane emissions from oil and natural gas production in the Bakken shale region of North Dakota
- Quantifying atmospheric methane emissions from the Haynesville, Fayetteville, and northeastern Marcellus shale gas production regions
- Quantifying Atmospheric Parameter Ranges for Ambient Secondary Organic Aerosol Formation
- Quantifying Averted Disability-Adjusted Life Years as a Performance Indicator for Water Quality Interventions: A Review of Current Methodologies and Challenges
- QUANTIFYING BEHAVIORAL-DIFFERENCES BETWEEN C AND C++ PROGRAMS
- Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada
- Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires
- Quantifying Carbon Monoxide Emissions on the Scale of Large Wildfires
- Quantifying Chromatin-Associated Interactions: The HI-FI System
- Quantifying climate feedbacks in polar regions
- Quantifying climate sensitivity and climate-driven change in North American amphibian communities
- Quantifying CO emissions from the 2004 Alaskan wildfires using MOPITT CO data -: art. no. L11809
- Quantifying co-extinctions and ecosystem service vulnerability in coastal ecosystems experiencing climate warming
- QUANTIFYING COLOR VARIATION: IMPROVED FORMULAS FOR CALCULATING HUE WITH SEGMENT CLASSIFICATION
- Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah-MP Dynamic Vegetation Modeling
- Quantifying disturbance effects on ecosystem services in a changing climate
- Quantifying drivers of change in social-ecological systems: land management impacts wildfire probability in forests of the western US
- Quantifying effects of biodiversity on ecosystem functioning across times and places
- Quantifying Electrochemical Processes in Batteries and Beyond
- Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS