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Showing 2501 to 2550 of 59105 works
Assessing the potential of UAV Spectral Data and Machine learning for Soil Organic Carbon Prediction in Sorghum Fields
Soil Organic Carbon (SOC) fluctuations in agricultural fields play a critical role in determining soil fertility and carbon sequestration. Efficient, non-destructive monitoring of…
Assessing Agricultural Systems using Emergy Analysis: A Review
Emergy analysis has become a widely used tool for comprehensively assessing systems, offering valuable insights into their environmental and economic sustainability. This study em…
PyBrOpS -Python Breeding Optimizer and Simulator
Choosing a suitable breeding strategy is essential to the success of a plant breeding program. Simulations are an important tool that allow plant breeders to propose and assess th…
Fractions of Different Young Water Ages are Sensitive to Discharge and Land Use - an Integrated Analysis of Water Age M…
With ongoing climate change and more frequent high flows and droughts, it becomes inevitable to understand potentially altered catchment processes under changing climatic conditio…
Preliminary data on the energy distribution of X- and gamma-rays from natural lightning
During the 2022 New Mexico monsoon season, we deployed two X-ray scintillation detectors, coupled with a 180 MHz data acquisition system to detect X-rays from natural lightning at…
A Submesoscale Eddy Identification Dataset Derived from GOCI I Chlorophyll-a Data based on Deep Learning
This paper presents an observational dataset on submesoscale eddies, which obtains from high-resolution chlorophyll-a distribution images from GOCI I. We employed a combination of…
Chemical data assimilation with aqueous chemistry in WRF-Chem coupled with WRFDA (V4.4.1)
This study introduces a new chemistry option in the Weather Research and Forecasting model data assimilation (WRFDA) system, coupled with the WRF-Chem model (Version 4.4.1), to in…
Anthropogenic aerosols offsetting ocean warming less efficiently since the 1980s
Greenhouse gases and aerosols play a major role in controlling global climate change. Greenhouse gases drive a radiative imbalance which warms the ocean, while aerosols cool the o…
Evolving dunes under flow reversals: from an initial heap toward an inverted dune
Sand dunes are ubiquitous in nature, and are found in abundance on Earth and other planetary environments. One of the most common types are crescent-shaped dunes known as barchans…
Observations and biogeochemical modeling reveal chlorophyll diel cycle with near-sunset maxima in the Red Sea
The Red Sea is an extremely warm tropical sea that hosts diverse ecosystems; thus, it is important to understand its ecology in the context of global warming. Using a coupled phys…
How Uncertainties in Relative Humidity Drive the Spread in the OLR-Ts Relationship Across CMIP6 Models
The Earth's global radiation budget depends critically on the relationship between outgoing longwave radiation (OLR) and surface temperature (Ts). Above 270 K, which represents 89…
How does the Pinatubo eruption influence our understanding of long-term changes in ocean biogeochemistry?
Pinatubo erupted during the first decadal survey of ocean biogeochemistry, embedding its climate fingerprint into foundational ocean biogeochemical observations and complicating t…
Dayside Pc2 waves associated with flux transfer events in a 3D hybrid-Vlasov simulation
Flux transfer events (FTEs) are transient magnetic flux ropes at Earth’s dayside magnetopause formed due to magnetic reconnection. As they move across the magnetopause surface, th…
High Resolution Mapping of Nitrate Loads of a Reservoir Using an Uncrewed Surface Vehicle: 2 Potential opportunities an…
Reliable nutrient load estimation of a reservoir is challenging due to inconsistent spatial extent and temporal frequency of water quality and quantity. This study aims to collect…
From Bark to Byte: Automating Forest Inventory Data Collection Through Camera and Mobile LIDAR
Accurate forest inventory data are essential for tracking carbon sequestration, estimating carbon emissions from deforestation, assessing plant and animal habitats for biodiversit…
Ion Dynamics and Velocities in Titan's Upper Atmosphere
The Cassini mission yielded a treasure trove of information on Saturn's largest moon Titan. With many flybys of this complex moon Cassini revealed many aspects of Titan's upper at…
Reduced Order Modeling for Linearized Representations of Microphysical Process Rates
Representing cloud microphysical processes in large scale atmospheric models is challenging because many processes depend on the details of the droplet size distribution (DSD, the…
Extremely High Sea Surface Temperatures in 2023
NOAA’s Daily Optimum Interpolation Sea Surface Temperature (DOISST) indicates that globally averaged sea surface temperature (SST) broke record in March 2023 and set new record …
Plausibility of lunar crustal magmatism producing strong crustal magnetism
The Moon generated a long-lived core dynamo magnetic field, with intensities at least episodically reaching ~10–100 µT during the period prior to ~3.56 Ga. While magnetic anomal…
Changes to Peroxyacyl Nitrates (PANs) over Megacities in Response to COVID-19 Tropospheric NO2 Reductions Observed by t…
The COVID-19 pandemic perturbed air pollutant emissions as cities shutdown worldwide. Peroxyacyl nitrates (PANs) are important tracers of photochemistry that are formed through th…
Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology
The sub-plate mantle flow traction has been considered as a major driving force for plate motion; however, the force acting on the overlying plate is difficult to be well constrai…
Integrating a double cropping model with groundwater-fed irrigation in the North China Plain
Irrigated cultivation, as a prevalent anthropogenic activity, exerts a significant influence on land use and land cover, resulting in notable modifications to land-atmosphere inte…
High spatiotemporal variation of CH4 and CO2 fluxes from inundated areas in a temperate fen
Peatland ecosystems are unsurpassed in their carbon-storing capacity. However, they can be hotspots for emissions of greenhouse gases (GHGs) depending on soil water saturation and…
Extending GLUE with Multilevel Methods to Accelerate Statistical Inversion of Hydrological Models
Inverse problems are ubiquitous in hydrological modelling for parameter estimation, system understanding, sustainable water resources management, and the operation of digital twin…
Leveraging phenotyping to inform development of process-based plant models
Phenotyping plays a crucial role in parameterizing, calibrating, and evaluating process-based plant models, which can be used to understand and predict crop behavior under various…
Intermittency at Earth’s bow shock: Measures of turbulence in quasi-parallel and quasi-perpendicular shocks
Turbulent plasmas such as the solar wind and magnetosheath exhibit an energy cascade which is present across a broad range of scales, from the stirring scale at which energy is in…
Capturing the Spatiotemporal Dynamics of Heat Stress Response Using a 3D-Reconstrution Approach
Plant response to environmental stresses varies with time and is not uniformly manifested across the entire plant or specific organs. However, in most cases the phenotypic respons…
Global Diversity of Source-Sink Senescence in Maize
Source-Sink Regulated Senescence (SSRS) in maize is a complex trait involving sugar sensing and carbohydrate partitioning. While the yield effects of SSRS are still under investig…
Semi-Automatic Plot Extraction Using Image Segmentation
Plot extraction for field trials plays a foundational role in supporting various research and development related to agricultural applications, including the classification of cro…
Hyperspectral Image-Based Spatial and Spectral Feature Mining for Phosphorus Deficiency Symptom Differentiation at Corn…
Phosphorus (P) is a vital macronutrient for building up essential biomolecules in plants, and its accurate quantification can guide effective crop management and increase crop gro…
Multisensor Field Phenotyping Pipeline Using Unmanned Aircraft Systems (UAS) at the Indiana Corn and Soybean Innovation…
Unmanned aircraft systems (UAS) are now widely used in field phenotyping by industry and academia because they are convenient, fast, and require less labor than manual phenotyping…
Using hyperspectral imaging to quantify cadmium stress and predict uptake across different spinach genotypes
Cadmium (Cd) is a naturally occurring toxic heavy metal found in trace concentrations in most soils. However, some soils have high levels of Cd due to parent materials or anthropo…
Impact of Dynamic Phytoplankton Stoichiometry on Global Scale Patterns of Nutrient Limitation, Nitrogen Fixation, and C…
Phytoplankton stoichiometry modulates the interaction between carbon, nitrogen and phosphorus cycles, yet most biogeochemical models represent phytoplankton C:N:P as constants. Th…
Using hyperspectral data to detect spotted lanternfly infestation in host tree species
Invasive species have historically disrupted environments by outcompeting, displacing, and extirpating native species, resulting in significant environmental and economic damage. …
Experiences in the high throughput phenotyping of forage and turf grasses for semiarid landscapes: challenges and expe…
The Forage and Range Lab (FRRL) is implementing a high throughput phenotyping (HTP) project using unmanned aerial vehicles (UAV), multispectral sensors, and programmatic pipelin…
At Least Nine CMIP6 Climate Models fail the Historical Experiment Test because they do not accurately reproduce the kno…
The Historical Experiment (HE) data in the Intergovernmental Panel on Climate Change (IPCC) Climate Model Intercomparison Project six (CMIP6) should demonstrate that all submitted…
New functional looks into the proteomes using LC/MS and Co-fractionation mass spectrometry
The sensitivity, speed and reproducibility of modern mass spectrometers enable deep new function looks into the cellular proteome. Because the dynamics of the protein ensemble lin…
Properties of the Nili Fossae Olivine-rich lithology: orbital and in situ at Séítah
We have studied the properties of the Nili Fossae olivine lithology from orbital data and in situ by the Mars 2020 rover at the Séítah unit in Jezero crater. We used the geochemis…
Supporting Information for "Pressure monitoring of disposal reservoirs in North-Central Oklahoma: implications for seis…
Underground wastewater injection into deep reservoirs confronts complex hydrogeologic conditions potentially leading to induced seismicity. We focus on the geologic units of the A…
Evaluating Streamflow Forecasts in Hydro-Dominated Power Systems--When and Why They Matter
The value of seasonal streamflow forecasts for the hydropower industry has long been assessed by considering metrics related to hydropower availability. However, this approach ove…
Machine-learned uncertainty quantification is not magic: Lessons learned from emulating radiative transfer with ML
Machine-learned uncertainty quantification (ML-UQ) has become a hot topic in environmental science, especially for neural networks. Scientists foresee the use of ML-UQ to make be…
Nearshore flow dynamics over shore-oblique bathymetric features during storm wave conditions
Shore-oblique bathymetric features occur around the world and have been statistically correlated with enhanced shoreline retreat on sandy beaches. However, the physical mechanisms…
Comparative genomics to improve genotype-phenotype associations in maize and sorghum
Comparing the genomes of two species offers a robust approach to unveil potentially overlooked genes that wield substantial influence on observed agronomic traits. Extensive pheno…
Toward more collaborative deep learning project management in plant phenotyping
Deep learning is a central tool in plant phenotyping. Proficiency in artificial intelligence and programming remains essential for designing a deep learning model. The reuse of de…
Advancing Regional Flood Mapping in a Changing Climate: A HAND-Based Approach for New Jersey with Innovations in Catchm…
Regional flood mapping poses computational and spatial heterogeneity challenges, exacerbated by climate change-induced uncertainties. This study focuses on creating a state-wide f…
Reconstructing the Mesozoic evolution of the Gulf of Mexico Basin: A new model incorporating optimised and focused lith…
The Gulf of Mexico (GoM) is one of the most extensively studied offshore regions, but its Mesozoic evolution remains uncertain. The presence of a thick sedimentary cover and Juras…
Drivers of Cloud Condensation Nuclei in the Eastern North Atlantic
Seven years of data collected at the Atmospheric Radiation Measurement (ARM)’s Eastern North Atlantic (ENA) site are analyzed to understand the controls of Cloud Condensation Nucl…
Emergence of efficient channel networks in fluvial landscapes
Channel networks across fluvial landscapes are believed to have evolved to minimize energy expenditure[1–3], as evidenced by the similarities between computer-generated optimal ch…
Historical Occurrence of and Shift in Snow Drought Drivers in Global Mountain Ranges
Snow droughts are a new way to understand changes in snowpack and subsequent runoff. Globally, we do not have a good understanding of the drivers of snow droughts or how those dri…
Strong El Niño events lead to robust multi-year ENSO predictability
The El Niño-Southern Oscillation (ENSO) phenomenon – the dominant source of climate variability on seasonal to multi-year timescales – is predictable a few seasons in advance. For…
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