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Andrew Newman
NSF National Center for Atmospheric ResearchMeeting roles in:
Diagnosing Potential Drivers of SWE Biases in the Noah-MP Land Model Across the Western U.S.
Actionable ensemble hydrometeorological modeling and uncertainty quantification for partners and users
Evaluating changes in winter snowpack conditions and impacts on Alaskan communities
Varying sources of uncertainty in risk-relevant hazard projections across the continental United States
Future Flood Characteristics in the Western United States
Modernizing Probable Maximum Precipitation Estimates over the Gila River Basin
Infusing Indigenous Ecological Knowledge in Quantitative Land Modeling: How Will Prescribed and Cultural Burning Affect Surface Hydrology?
Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications I Oral
A CONUS Precipitation Event Database: Using MRMS to Characterize Extreme Events
A New CONUS Multi-decadal Ensemble Surface Meteorological Dataset for Hydrological and Sectoral Applications
Validating Interannual to Decadal Weather Hazard Forecasting Across a Hierarchy of Methods
Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications II Poster
Evaluating the Causes and Future Frequency of Extreme River Temperatures in Alaskan Rivers
Modeling Mid-century River Temperature Changes Using Different Atmospheric-Land Surface Models Across Southeast Alaska, USA
The Arctic Rivers Project: Lessons learned and successes in convergence research
Uncertainty Propagation from Observation‑Based Data to Statistically Downscaled Climate Projections
Upper Colorado River Snowpack Potentially More Resilient than Climate Models Suggest
Applying the AI Weather Prediction Revolution to Regional Hydroclimate: Coupling, Scales, and Reliability
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