- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Scientific Computing and Data Management
- Arctic and Antarctic ice dynamics
- Cryospheric studies and observations
- Methane Hydrates and Related Phenomena
- Forest Management and Policy
- Geological Studies and Exploration
- Climate variability and models
- Distributed and Parallel Computing Systems
- Meteorological Phenomena and Simulations
- Computational Physics and Python Applications
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Big Data and Business Intelligence
- Research Data Management Practices
- Water-Energy-Food Nexus Studies
- Hydrological Forecasting Using AI
- Water resources management and optimization
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Flood Risk Assessment and Management
- Forest ecology and management
- Remote Sensing and LiDAR Applications
- Geophysics and Gravity Measurements
NSF National Center for Atmospheric Research
2017-2022
Carbon180
2021-2022
Climate and Global Dynamics Laboratory
2019-2021
Black Rock Forest Consortium
2021
Research Applications (United States)
2019
University of Washington
2013-2018
University of Washington Applied Physics Laboratory
2015
John Wiley & Sons (United States)
1991
xarray is an open source project and Python package that provides a toolkit data structures for N-dimensional labeled arrays. Our approach combines application programing interface (API) inspired by pandas with the Common Data Model self-described scientific data. Key features of include label-based indexing arithmetic, interoperability core packages (e.g., pandas, NumPy, Matplotlib), out-of-core computation on datasets don't fit into memory, wide range serialization input/output (I/O)...
Abstract. The Variable Infiltration Capacity (VIC) model is a macroscale semi-distributed hydrologic model. VIC development began in the early 1990s and has since been used extensively for basin- to global-scale applications that include dataset construction, trend analysis of fluxes states, data evaluation assimilation, forecasting, coupled climate modeling, change impact assessment. Ongoing operational University Washington's drought monitoring forecasting systems NASA's Land Data...
Carbon offsets are widely used by individuals, corporations, and governments to mitigate their greenhouse gas emissions on the assumption that reflect equivalent climate benefits achieved elsewhere. These climate-equivalence claims depend providing real additional beyond what would have happened, counterfactually, without project. Here, we evaluate design of California's prominent forest carbon program demonstrate its fall far short basis directly observable evidence. By design, awards large...
Abstract Methodological choices can have strong effects on projections of climate change impacts hydrology. In this study, we investigate the ways in which four different steps modeling chain influence spread projected changes aspects To form basis these analyses, constructed an ensemble 160 simulations from permutations two Representative Concentration Pathways, 10 global models, downscaling methods, and hydrologic model implementations. The study is situated Pacific Northwest North...
Scientific data have traditionally been distributed via downloads from server to local computer. This way of working suffers limitations as scientific datasets grow toward the petabyte scale. A "cloud-native repository," defined in this article, offers several advantages over traditional repositories-performance, reliability, cost-effectiveness, collaboration, reproducibility, creativity, downstream impacts, and access inclusion. These objectives motivate a set best practices for...
California operates a large forest carbon offsets program that credits stored in forests across the continental United States and parts of coastal Alaska. These can be sold to buyers who wish justify ongoing emissions, including California’s cap-and-trade program. Although fossil CO 2 emissions have effectively permanent atmospheric consequences, is inherently less durable because are subject significant socioeconomic physical risks cause temporarily re-released into atmosphere. To address...
Abstract Net-zero greenhouse gas (GHG) emissions targets are driving interest in opportunities for biomass-based negative and bioenergy, including from marine sources such as seaweed. Yet the biophysical economic limits to farming seaweed at scales relevant global carbon budget have not been assessed detail. We use coupled growth technoeconomic models estimate costs of production related climate benefits, systematically testing relative importance model parameters. Under our most optimistic...
While there has been a boom in the availablity of climate, weather, and environmental data thanks to satellite observations, syntheses situ observed sets, ubiquity powerful computers, it is also still often case that required run complex models either missing, or at wrong spatial temporal resolution.For example, incoming shortwave radiation, longwave humidity are with varying record lengths observation intervals.Further, even when such quantities measured daily timestep, while many require...
Abstract The near-surface climate, including the atmosphere, ocean, sea ice, and land state fluxes, in initial version of Regional Arctic System Model (RASM) are presented. sensitivity RASM climate to changes ice parameters physics is evaluated four simulations. atmospheric circulation well simulated all simulations but biases surface temperature caused by downward radiative fluxes. Errors fluxes due clouds with different versions simulating either too much or little cloud impact over open...
Abstract The Regional Arctic System Model (RASM) is a fully coupled, regional Earth system model applied over the pan-Arctic domain. This paper discusses implementation of Variable Infiltration Capacity land surface (VIC) in RASM and evaluates ability RASM, version 1.0, to capture key features climate hydrologic cycle for period 1979–2014 comparison with uncoupled VIC simulations, reanalysis datasets, satellite measurements, situ observations. reproduces dominant climatology Arctic, such as...
Abstract The coastal streamflow flux from the Arctic drainage basin is an important driver of dynamics in coupled ice‐ocean system. Comprising more than one third total freshwater into Ocean, a key component regional and global cycle. To better represent coupling to ocean, we have developed applied RVIC routing model within Regional System Model (RASM). RASM high‐resolution Earth whose domain includes all basin. In this paper, introduce model, detailing its application advancements terms...
Abstract Strong, mesoscale tip jets and barrier winds that occur along the southeastern Greenland coast have potential to impact deep convection in Irminger Sea. The self-organizing map (SOM) training algorithm was used identify 12 wind patterns represent range of winter [November–March (NDJFM)] regimes identified fully coupled Regional Arctic System Model (RASM) during 1990–2010. For all patterns, ocean loses buoyancy, primarily through turbulent sensible latent heat fluxes; haline...
Abstract Carbon offsets are widely used by individuals, corporations, and governments to mitigate their greenhouse gas emissions on the assumption that reflect equivalent climate benefits achieved elsewhere. These climate-equivalence claims depend providing “additional” beyond what would have happened, counterfactually, without project. Here, we evaluate design of California’s prominent forest carbon program demonstrate its fall far short basis directly observable evidence. By design, awards...
Pangeo Forge is a new community-driven platform that accelerates science by providing high-level recipe frameworks alongside cloud compute infrastructure for extracting data from provider archives, transforming it into analysis-ready, cloud-optimized (ARCO) stores, and human- machine-readable catalog browsing loading. In abstracting the scientific domain logic of recipes concerns, aims to open door broader community scientists participate in ARCO production. A wholly open-source composed...
Hydroclimate and terrestrial hydrology greatly influence the local community, ecosystem, economy in Alaska Yukon River Basin. A high-resolution re-simulation of historical climate can provide an important benchmark for change studies. In this study, we utilized Regional Arctic Systems Model (RASM) conducted coupled land-atmosphere modeling Basin at 4-km grid spacing. RASM, land model was replaced with Community Terrestrial (CTSM) given its comprehensive process representations cold regions....
Current understanding of the combined effects sea level rise (SLR), storm surge, and changes in river flooding on near-coastal environments is very limited. This project uses a suite numerical models to examine projected future climate change Skagit floodplain estuary. Statistically dynamically downscaled global model scenarios from ECHAM-5 GCM were used as forcings. Unregulated daily flows simulated using VIC hydrology model, regulated SkagitSim reservoir operations model. Daily tidal...
Abstract. The Variable Infiltration Capacity (VIC) model is a macro-scale semi-distributed hydrologic model. VIC development began in the early 1990s and has since been used extensively for basin- to global-scale applications that include data set construction, trend analysis of fluxes states, evaluation assimilation, forecasting, coupled climate modeling, change impact assessment. Ongoing operational University Washington's drought monitoring forecasting systems NASA's Land Data...
Abstract. The Regional Arctic System Model version 1 (RASM1) has been developed to provide high-resolution simulations of the atmosphere–ocean–sea ice–land system. Here, we a baseline for capability RASM simulate interface processes by comparing retrospective from RASM1 1990–2014 with Community Earth (CESM1) and spread across three recent reanalyses. Evaluations surface 2 m air temperature, radiative turbulent fluxes, precipitation, snow depth in various models reanalyses are performed using...
The Project Description from the NSF-funded Earthcube project Pangeo: An Open Source Big Data Climate Science Platform (NSF award 1740648)
Abstract Vegetation parameters for the Variable Infiltration Capacity (VIC) hydrologic model were recently updated using observations from Moderate Resolution Imaging Spectroradiometer (MODIS). Previous work showed that these MODIS-based improved VIC evapotranspiration simulations when compared to eddy covariance observations. Due importance of within Colorado River basin, this study provided a basin-by-basin calibration soil with vegetation improve streamflow simulations. Interestingly,...