Results 161 to 170 of about 21,469,938 (366)
Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5
Journal of Advances in Modeling Earth Systems, 2018 The magnitude and persistence of land carbon (C) pools influence long‐term climate feedbacks. Interactive ecological processes influence land C pools and our understanding of these processes is imperfect so land surface models have errors and biases when
A. Fox +8 more
semanticscholar +1 more source
AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice
Annals of Neurology, EarlyView.Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley +1 more source
Correcting Observation Model Error in Data Assimilation
, 2018 Standard methods of data assimilation assume prior knowledge of a model that describes the system dynamics and an observation function that maps the model state to a predicted output.
Berry, Tyrus +2 more
core +1 more source
Annals of Neurology, EarlyView.Synthesis of Literature: Neurodegeneration in Moderate‐Severe TBI. Objective Although moderate‐to‐severe traumatic brain injury (msTBI) was once considered a static neural event following resolution of acute injuries, numerous studies now demonstrate progressive losses to volume and white matter integrity in the months and years postinjury, leading to ...
Bhanu Sharma +4 more
wiley +1 more source
Journal of Geophysical Research - Atmospheres, 2019 Global multiconstituent concentration and emission fields obtained from the assimilation of the satellite retrievals of ozone, CO, NO2, HNO3, and SO2 from the Ozone Monitoring Instrument (OMI), Global Ozone Monitoring Experiment 2, Measurements of ...
K. Miyazaki +15 more
semanticscholar +1 more source
Balanced data assimilation for highly-oscillatory mechanical systems [PDF]
, 2017 Data assimilation algorithms are used to estimate the states of a dynamical system using partial and noisy observations. The ensemble Kalman filter has become a popular data assimilation scheme due to its simplicity and robustness for a wide range of ...
Hastermann, Gottfried +3 more
core +1 more source
On Variational Data Assimilation in Continuous Time
, 2010 Variational data assimilation in continuous time is revisited. The central techniques applied in this paper are in part adopted from the theory of optimal nonlinear control.
Apte +21 more
core +1 more source
The Comprehensive Roadmap Toward Malaria Elimination Using Graphene and its Promising 2D Analogs
Advanced NanoBiomed Research, EarlyView.Material based on a diversity of graphene with chemical properties of strong strength, high mobility, high transparency, good heat conductivity, biocompatibility, and chemical stability, advanced devices demonstrating antimalarial characteristics can be used for malaria treatment at different stages of malaria development from the injection of ...
Fangzhou He +11 more
wiley +1 more source
Progress, Problems, and Prospects in Meteorological Data Assimilation [PDF]
, 1975 Ronald D. McPherson
openalex +1 more source
A review of operational methods of variational and ensemble‐variational data assimilation
, 2017 Variational and ensemble methods have been developed separately by various research and development groups and each brings its own benefits to data assimilation.
R. Bannister
semanticscholar +1 more source