Results 131 to 140 of about 584,789 (249)
Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir +11 more
wiley +1 more source
Abstract The present study reports on the variability of the post‐midnight ionosphere over the low‐latitude sector during the recovery phases of the May and October 2024 storms. Multi‐instrument observations, comprising global navigation satellite system total electron content (TEC), F‐layer peak height, electron density profiles, and column O/N2 ...
Rahul Rathi +5 more
wiley +1 more source
CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
Vertical Hydraulic Gradients as Key Calibration Constraints in Regional Groundwater Models
Abstract In typical clastic sedimentary aquifer systems, interbedded coarse‐ and fine‐grained deposits impede vertical flow and promote horizontal flow. This effect, known as vertical anisotropy, is often underestimated in regional groundwater models, leading to overestimated vertical aquifer communication.
Yara M. Pasner +3 more
wiley +1 more source
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy +3 more
wiley +1 more source
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Predicting Coral Cover Trends From Local to Broad Spatial Scales
We present an integrated framework to track coral cover trends across multiple spatial scales, ranging from a local scale of 5 km2 to a broad scale exceeding 5000 km2. Through use cases, we demonstrate the value of our spatio‐temporal prediction framework in generating new insights from monitoring data across varying spatial and temporal data ...
Julie Vercelloni +6 more
wiley +1 more source
Key sources of uncertainty in process‐based modeling of live fuel moisture content
Location of the selected live fuel moisture content (LFMC) sampling sites. Summary Process‐based models that mechanistically represent water‐carbon balances in the atmosphere‐soil–plant continuum are an attractive tool for monitoring live fuel moisture content (LFMC) dynamics, a key variable when assessing fire danger.
Rodrigo Balaguer‐Romano +10 more
wiley +1 more source
Benchmarking Spatial Interpolation Methods for Long-Term Meteorological Exposure Assessment in China: Comparing Inverse Distance Weighting and Ordinary Kriging in Climate-Health Research. [PDF]
Zhang R +10 more
europepmc +1 more source

