Results 41 to 50 of about 613,627 (296)

Bias Characteristics of COSMIC RO Data within Clouds Based on Different Background Fields

open access: yesGaoyuan qixiang, 2023
The Global Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) radio occultation (RO) from 2007 to 2009 were collocated with the CloudSat nadir-pointing cloud profiling radar (CPR) in time and space in this study.We ...
Yan’an YIN, Shengpeng YANG
doaj   +1 more source

Continuous Data Assimilation with Stochastically Noisy Data [PDF]

open access: yes, 2014
We analyze the performance of a data-assimilation algorithm based on a linear feedback control when used with observational data that contains measurement errors.
Bessaih, Hakima   +2 more
core   +3 more sources

A Diagnostic Study on the Formation of Double Eyewalls of Typhoon Lekima (2019) Based on POES Microwave and GOES Infrared Observations

open access: yesEarth and Space Science, 2023
Microwave observations of brightness temperature (TB) from multiple polar‐orbiting operational environmental satellite imagers and infrared observations of geostationary operational environmental satellite Himawari‐8 imager are used to investigate ...
Yanyang Hu, Xiaolei Zou
doaj   +1 more source

Prediction of Sunspot Cycles by Data Assimilation Method [PDF]

open access: yes, 2008
Despite the known general properties of the solar cycles, a reliable forecast of the 11-year sunspot number variations is still a problem. The difficulties are caused by the apparent chaotic behavior of the sunspot numbers from cycle to cycle and by the ...
Kitiashvili, I. N., Kosovichev, A. G.
core   +2 more sources

Seasonal forecasting of subsurface marine heatwaves

open access: yesCommunications Earth & Environment, 2023
Marine heatwaves damage marine ecosystems and services, with effects identified mostly below the ocean surface. To create a truly user-relevant detection system, it is necessary to provide subsurface forecasts.
Ronan McAdam   +2 more
doaj   +1 more source

Assimilating SAR-derived water level data into a hydraulic model: a case study [PDF]

open access: yes, 2011
Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels.
De Keyser, Robain   +10 more
core   +2 more sources

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

open access: yesAging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst   +4 more
wiley   +1 more source

Intra-hour cloud index forecasting with data assimilation [PDF]

open access: yes, 2019
We introduce a computational framework to forecast cloud index (CI)fields for up to one hour on a spatial domain that covers a city. Such intra-hour CI forecasts are important to produce solar power forecasts of utility scale solar power and distributed ...
Harty, TM   +3 more
core   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation [PDF]

open access: yes, 2014
This paper presents an approach for employing artificial neural networks (NN) to emulate an ensemble Kalman filter (EnKF) as a method of data assimilation.
Cintra, Rosangela S.   +1 more
core  

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