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Machine Learning Models Inaccurately Predict Current and Future High-Latitude Carbon Balances
The high-latitude carbon cycle is an important, complex, and highly uncertain component of the global climate system. A growing number of studies have relied on machine learning methods to create regional estimates of current and future ecosystem properties (e.g., carbon balance) based on a small number of site measurements.
January 6, 2023
JGI at 25: Using team science to build communities around data
2022 marks the JGI’s 25th anniversary. Over the last year, we’ve been revisiting a number of notable achievements that showcase our collaborations and capabilities to enable great science that will help solve energy and environmental challenges. Over the last two-and-a-half decades, the JGI has been facilitating the creation, growth and expansion of research communities by producing and sharing high-quality genomes.
January 5, 2023
Sizing ice hydrometeors using the dual-wavelength radar ratio
The ice cloud feedback in weather and climate models is strongly affected by the size of cloud particles. The DWR–hydrometeor size relations developed in this study can be used for sizing ice hydrometeors at different research facilities that have dual-wavelength radar measurements. Such facilities are deployed at different U.S. Department of Energy Atmospheric Radiation Measurement (ARM) sites.
January 5, 2023
Ecosystem Wilting Point: A Threshold in Forest Response to Drought
Like animals, forests breathe; unlike animals, which breathe in oxygen and breathe out carbon dioxide, forests take in carbon dioxide and release water vapor and oxygen through tiny openings on leaf surfaces called stomata. Forests actively regulate the opening and closing of stomata in response to environmental variations.
January 4, 2023
Snow Shape Matters for Land Surface Processes
Snow has the highest albedo, or reflective ability, of any part of the land surface. Most Earth system models assume that snow grains are spherical and that light-absorbing particles (LAPs) are separate from the snow grains. This study improves the Energy Exascale Earth System Model version 2.0’s snow albedo model by considering non-spherical snow grain shapes and internally mixed dust–snow.
January 4, 2023
Argonne National Laboratory and the GEM Fellowship Program help minority students pursue advanced STEM degrees
Through a partnership with the National GEM Consortium to support graduate studies for students from underrepresented groups, Argonne helps students gain skills in artificial intelligence. When Jason Ortiz went back to school to complete his doctorate after five years of working at Microsoft as a software engineer, he was excited but apprehensive.
January 3, 2023
Measuring Permafrost Thaw with Streamflow
Approximately one-fifth of the world's land contains permafrost or permanently frozen ground. To track the pace of permafrost thaw, scientists measure the thickness of the so-called active layer of thawed soil on top of the frozen-solid permafrost. This research developed a new method to track the pace of permafrost thaw using streamflow measurements.
January 1, 2023
Faster Storm Surge Modeling with Local Time-Stepping
Partitioning the globe into a mesh consisting of cells of different sizes based on the level of accuracy desired in a given region is useful for many applications. The largest step forward in time an ocean model can take is governed by the size of the smallest cell in the mesh. To increase the efficiency of the time-stepping process, researchers use a local time-stepping (LTS).
January 1, 2023
Impact of Tropical Cyclone Wind Forcing on the Global Climate in a Fully Coupled Climate Model
Tropical cyclones (TCs) alter upper-ocean temperature and influence ocean heat content via enhanced turbulent mixing. A better understanding of the role of TCs within the climate system requires a fully coupled modeling framework, where TC-induced ocean responses feed back to the atmosphere and subsequently to the climate mean state and variability.
January 1, 2023
Exploring Multiscale Earth System and Human–Earth System Dynamics in the Puget Sound Region
Puget Sound is the second-largest estuary in the United States and is surrounded by major mountain ranges as well as a highly populated coastal plain. The region’s complex hydroclimate is strongly influenced by Pacific Ocean weather systems and climate patterns, complex topography, a unique land use history, and strong rural-to-urban gradients.
January 1, 2023
Landscape Metrics Play a Role in Population Downscaling
Population downscaling allows researchers to derive higher spatial resolution population data based on coarser resolution population data. Landscape metrics calculated from land cover maps can be used to quantify urban spatial structural characteristics such as clustering, fragmentation, and patchiness. Scientists hypothesize that these metrics correlate with population density.
January 1, 2023
Deep Convection in the Southern Great Plains (SGP)
Very high-resolution simulations with the Weather Research and Forecasting (WRF) model are performed and subject to uniquely detailed fidelity assessment. Although this simulation exhibits fidelity for the marginal probabilities of wind speed, rainfall rates, and hail occurrence, the joint probabilities of these properties and the maximum size of hail are.
January 1, 2023