A5102893408- Cryospheric studies and observations
- Climate variability and models
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Climate change and permafrost
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
- Soil and Water Nutrient Dynamics
- Remote Sensing and LiDAR Applications
- Oceanographic and Atmospheric Processes
- Winter Sports Injuries and Performance
- Soil and Unsaturated Flow
- Tropical and Extratropical Cyclones Research
NOAA Physical Sciences Laboratory
2019-2025
National Oceanic and Atmospheric Administration
2021-2024
Princeton University
2023
NOAA Earth System Research Laboratory
2021-2022
Cooperative Institute for Research in Environmental Sciences
2017
University of Colorado Boulder
2017
Abstract In mountain terrain, well-configured high-resolution atmospheric models are able to simulate total annual rain and snowfall better than spatial estimates derived from in situ observational networks of precipitation gauges, significantly radar or satellite-derived estimates. This conclusion is primarily based on comparisons with streamflow snow basins across the western United States Iceland, Europe, Asia. Even though they outperform gridded datasets gauge networks, still disagree...
Abstract The National Oceanic and Atmospheric Administration (NOAA)’s Water Model (NWM) provides analyses predictions of hydrologic variables relevant to drought monitoring forecasts at fine time space scales (hourly, 0.25–1 km). We present results exploring the potential for NWM soil moisture streamflow inform operational monitoring. Both agricultural rely either explicitly or implicitly on an accurate representation anomalous values. Much our analysis focuses comparisons anomalies in those...
Abstract Improving probabilistic streamflow forecasts is critical for a multitude of water-oriented applications. Errors in water arise from several sources, one which the driving meteorology. Meteorological are often statistically post-processed before being input into hydrologic models. Shifts towards ensemble weather prediction systems have propelled advances post-processing, providing an opportunity to enhance forecasting. This study’s purpose implement and evaluate impact coupling...
Abstract Repeatable snow depth patterns have been identified in many regions between years with similar meteorological characteristics. This suggests that from previous could adjust deposition space as a substitution for unmodeled processes. Here, we tested pattern‐based downscaling routine which assumes (a) spatially consistent relationship and depth, (b) interannually repeatable patterns, (c) unbiased mean snowfall. We investigated these assumptions, future avenues improvement, water‐year...
Abstract Seasonal snowpack in the Western United States (WUS) is vital for meeting summer hydrological demands, reducing intensity and frequency of wildfires, supporting snow‐tourism economies. While severity snow droughts (SD), that is, anomalously low snowpacks, are expected to increase under continued global warming, uncertainty from internal climate variability remains challenging quantify with observations alone. Using a 30‐member large ensemble state‐of‐the‐art model, Seamless System...
Snow influences land–atmosphere interactions in snow-dominated areas, and snow melt contributes to basin streamflows. However, estimating snowpack properties such as the depth (SD) water equivalent (SWE) from land surface model simulations remains a challenge. This is, part, due uncertainties atmospheric forcing variables, which propagate into hydrological predictions. study implements Weather Research Forecasting (WRF)-Hydro framework with Noah-Multiparameterization (Noah-MP) NOAA’s...
Abstract Western U.S. (WUS) rainfall and snowpack vary greatly on interannual decadal timescales. This combined with their importance to water resources makes future projections of these variables highly societally relevant. Previous studies have shown that precipitation events in the WUS are influenced by timing, positioning, duration extreme integrated vapor transport (IVT) (e.g., atmospheric rivers) along coast. We investigate end-of-21st-century IVT a collection regional climate models...
Abstract Snow is important for many physical, social, and economic sectors in North America. In a warming climate, the characteristics of snow will likely change fundamental ways, therefore compelling societal need future projections snow. However stakeholders require climate information at finer resolutions that global models (GCMs) can provide. The American Coordinated Regional Downscaling Experiment (NA-CORDEX) provides an ensemble regional model (RCMs) simulations two (~0.5º ~0.25º)...
Seasonal snowpack in the Western United States (WUS) is vital for meeting summer hydrological demands, reducing intensity and frequency of wildfires, supporting snow-tourism economies. While severity snow droughts (SD) are expected to increase under continued global warming, uncertainty from internal climate variability remains challenging quantify. Using a 30-member large ensemble state-of-the-art model, Seamless System Prediction EArth Research (SPEAR), an observations-based dataset, we...