A5036045051- Smart Agriculture and AI
- Solar and Space Plasma Dynamics
- Atmospheric Ozone and Climate
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Marine animal studies overview
- Bat Biology and Ecology Studies
- Ionosphere and magnetosphere dynamics
- Animal Vocal Communication and Behavior
- Remote Sensing and LiDAR Applications
- Bioinformatics and Genomic Networks
- History and Developments in Astronomy
- Innovative Microfluidic and Catalytic Techniques Innovation
- Geochemistry and Geologic Mapping
- EEG and Brain-Computer Interfaces
- Global Energy and Sustainability Research
- Atmospheric aerosols and clouds
- Earthquake Detection and Analysis
- Computational Drug Discovery Methods
- Irrigation Practices and Water Management
- Water Quality Monitoring and Analysis
- Water Quality Monitoring Technologies
- Agricultural Innovations and Practices
- Geophysics and Gravity Measurements
- Neural dynamics and brain function
Goddard Space Flight Center
2024-2025
University of Maryland, College Park
2025
University of Arizona
2023-2024
University of Montana
2019-2023
Near-real-time (NRT) and subseasonal-to-seasonal (S2S) observational systems can provide the opportunity to compare short-term projections with observed climate events impacts on atmospheric methane, leading a deeper understanding of global wetland methane cycle. Here, we applied Lund-Potsdam-Jena Earth Observation SIMulator (LPJ-EOSIM) dynamic vegetation model estimate NRT natural emissions. We first investigate 2023 emissions then focus case study investigating deployment S2S forecasts...
The SARS-CoV2 pandemic has highlighted the importance of efficient and effective methods for identification therapeutic drugs, in particular laid bare need that allow exploration full diversity synthesizable small molecules. While classical high-throughput screening may consider up to millions molecules, virtual hold promise enabling appraisal billions candidate thus expanding search space while concurrently reducing costs speeding discovery. Here, we describe a new pipeline, called...
Abstract The 21 August 2017 total solar eclipse was the first on mainland of United States since 1979. Atmospheric Responses Total Solar Eclipse (ARTSE2017) project created to observe response atmosphere shadow moon. During eclipse, 10 sites launched radiosondes in a very rapid, serial weather balloon deployment along totality path, and high-resolution mesoscale meteorological network (mesonet) data were collected three states. Here, we focus results obtained from radiosonde field campaign...
Atmospheric gravity waves generated by an eclipse were first proposed in 1970. Despite numerous efforts since, there has been no definitive evidence for the lower to middle atmosphere. Measuring wave characteristics produced a definite forcing event such as provides crucial knowledge developing more accurate physical descriptions of waves. These are fundamental transport energy and momentum throughout atmosphere their parameterization or simulation numerical models increased accuracy...
Accurate maps of irrigation are essential for understanding and managing water resources. We present a new method mapping demonstrate its accuracy the state Montana from years 2000-2019. The is based off an ensemble convolutional neural networks that use reflectance information Landsat imagery to classify irrigated pixels, we call IrrMapper-U-Net. methodology does not rely on extensive feature engineering condition classification with land existing geospatial datasets. need exhaustive...
Protein language models (PLMs) have recently demonstrated potential to supplant classical protein database search methods based on sequence alignment, but are slower than common alignment-based tools and appear be prone a high rate of false labeling. Here, we present NEAR, method neural representation learning that is designed improve both speed accuracy for likely homologs in large database. NEAR's ResNet embedding model trained using contrastive guided by trusted alignments. It computes...
Increasing wetland CH4 emissions are projected to have significant implications for keeping global warming below 2 °C. However, better understand the future dynamics of emissions, improved deployment observational systems (e.g., aircraft and flux towers) is required. One avenue allow targeted field observations improve subseasonal-to-seasonal (S2S) forecasting. Here, we present a workflow that enables low-latency (
Recordings of animal sounds enable a wide range observational inquiries into communication, behavior, and diversity. Automated labeling sound events in such recordings can improve both throughput reproducibility analysis. Here, we describe our software package for elements demonstrate its utility on beetle courtships whale songs. The software, DISCO, computes sensible confidence estimates produces labels with high precision accuracy. In addition to the core it provides simple tool training...
Recordings of animal sounds enable a wide range observational inquiries into communication, behavior, and diversity. Automated labeling sound events in such recordings can improve both throughput reproducibility analysis. Here, we describe our software package for elements sounds, demonstrate its utility on beetle courtships whale songs. The software, DISCO, computes sensible confidence estimates produces labels with high precision accuracy. In addition to the core it provides simple tool...
Abstract Ultraviolet (UV) light can aid in the investigation of petroleum‐contaminated soil and sediment. The visible fluorescence many petroleum products under UV illumination often results a striking contrast when compared with surrounding, uncontaminated media. This be used variety applications, including delineating extent excavations, locating seeps along shorelines, selecting sample intervals sediment cores. In another application, field screening test using combined solvent extraction...