scholarly journals A prediction model for the global distribution of whistler chorus wave amplitude developed separately for two latitudinal zones

2015 ◽  
Vol 120 (4) ◽  
pp. 2819-2837 ◽  
Author(s):  
Jin-Hee Kim ◽  
Dae-Young Lee ◽  
Jung-Hee Cho ◽  
Dae-Kyu Shin ◽  
Kyung-Chan Kim ◽  
...  
Keyword(s):  
Prediction Model ◽  
Wave Amplitude ◽  
Global Distribution ◽  
Chorus Wave

Global Morphology of Lower-band Chorus Wave Intensity Reconstructed Using multi-year POES Electron Measurements

2020 ◽  
Author(s):  
Yang Zhang ◽  
Binbin Ni ◽  
Xudong Gu ◽  
Yuri Shprits ◽  
Song Fu ◽  
...  
Keyword(s):  
Radiation Belt ◽  
Wave Intensity ◽  
Global Distribution ◽  
Loss Cone ◽  
Wave Measurements ◽  
Lower Band ◽  
Chorus Waves ◽  
Radiation Belt Electrons ◽  
Chorus Wave

<p><span>Magnetospheric chorus is known to play a significant role in the acceleration and loss of radiation belt electrons. Interactions of chorus waves with radiation belt particles are commonly evaluated using quasi-linear diffusion codes that rely on statistical models, which might not accurately provide the instantaneous global wave distribution from limited in-situ wave measurements. Thus, a novel technique capable of inferring wave amplitudes from POES particle measurements, with an extensive coverage of L-shell and magnetic local time, has been established to obtain event-specific, global dynamic evolutions of chorus waves. This study, using 5 years of POES electron data, further improves the technique, and enables us to subsequently infer the chorus wave amplitudes for all useful data points (removing the electrons which were in the drift loss cone) and to construct the global distribution of lower-band chorus wave intensity. The results obtained from the improved technique reproduce Van Allen Probes in-situ observations of chorus waves reasonably well and reconstruct the major features of the global distribution of chorus waves. We demonstrate that such a data-based, dynamic model can provide near-real-time estimates of chorus wave intensity on a global scale for any time period when POES data are available, which cannot be obtained from in-situ wave measurements by equatorial satellites alone, but is crucial for quantifying the  dynamics of the radiation belt electrons.</span></p>

scholarly journals A Global Model of Predicted Peregrine Falcon (<i>Falco peregrinus</i>) Distribution with Open Source GIS Code and 104 Open Access Layers for use by the global public

2017 ◽  
Author(s):  
Sumithra Sriram ◽  
Falk Huettmann
Keyword(s):  
Open Access ◽  
Prediction Model ◽  
Open Source ◽  
Global Distribution ◽  
Peregrine Falcon ◽  
Falco Peregrinus ◽  
Open Access Data ◽  
Peregrine Falcons ◽  
The World ◽  
Access Data

Abstract. Peregrine falcons (Falco peregrinus) are among the fastest members of the animal kingdom, and they are probably the most widely distributed raptors in the world; their migrations and habitats range from the tundra, mountains and some deserts to the tropics, coastal zones and urban habitats. Habitat loss, conversion, contamination, pesticides and other anthropogenic pressures are all known factors that have an adverse effect on these species. However, while peregrine falcons were removed from the list of endangered species due to rebounding populations linked with the DDT ban in many nations of the world, no accurate global distribution models have ever been developed for good conservation practice and in an open access data framework. Here we used the best-available open access peregrine falcon data from the Global Biodiversity Information Facility (GBIF.org) to obtain the first publicly available global distribution model for peregrine falcons. For that purpose, we compiled over a hundred high resolution global GIS layers (1 km pixel size) that incorporated various variables such as biological, climatic, and socio-economic predictors allowing to analysis habitat relationships in a holistic fashion and to build a generalizable model. These value-added layers have also been made available by us for the global public, free of charge, for further use and consumption in any modeling effort wanted (https://scholarworks.alaska.edu/handle/11122/7151). We created data extraction explicit in space and time also with an open source python script tool as well as with ArcGIS (via the GUI) on a PC. The obtained data cube (global, 1 km pixel, 104 GIS layers) was "mined" with the Salford Predictive Modeler (SPM) software suite, which offers one of the best platforms for data mining, to build the prediction model for robust inference. We found that peregrine falcons are widely urbanized occurring in coastal areas and also associated with riparian zones. This is the first model ever obtained using 104 predictors on a 1 km scale predicting the potential ecological niche of falcons around the world. While our model might show uncertainty for parts of Siberia, Russia, it has an assessed global accuracy of over 95 % and hence provides the currently best possible public available global prediction model for peregrine falcons, based on all available empirical data. Overlaid with the national parks of the world we found that most peregrine hotspots are actually located outside of protected areas warranting more protection efforts while global change unfolds. Finally, a nationwide assessment of the presence points taken from GBIF allows for insight as to the many signatory nations that are still in violation of the open access data sharing requirement set by the Convention of Biological Diversity (CBD) and the Budapest and Berlin Declaration.

scholarly journals A novel technique to construct the global distribution of whistler mode chorus wave intensity using low-altitude POES electron data

2014 ◽  
Vol 119 (7) ◽  
pp. 5685-5699 ◽  
Author(s):  
Binbin Ni ◽  
Wen Li ◽  
Richard M. Thorne ◽  
Jacob Bortnik ◽  
Janet C. Green ◽  
...  
Keyword(s):  
Wave Intensity ◽  
Global Distribution ◽  
Whistler Mode ◽  
Novel Technique ◽  
Low Altitude ◽  
Chorus Wave

scholarly journals Constructing the global distribution of chorus wave intensity using measurements of electrons by the POES satellites and waves by the Van Allen Probes

2013 ◽  
Vol 40 (17) ◽  
pp. 4526-4532 ◽  
Author(s):  
W. Li ◽  
B. Ni ◽  
R. M. Thorne ◽  
J. Bortnik ◽  
J. C. Green ◽  
...  
Keyword(s):  
Wave Intensity ◽  
Global Distribution ◽  
Van Allen Probes ◽  
Chorus Wave

1575: External Validation of Outcome Prediction Model for Ureteral/Renal Calculi

2005 ◽  
Vol 173 (4S) ◽  
pp. 427-427
Author(s):  
Sijo J. Parekattil ◽  
Udaya Kumar ◽  
Nicholas J. Hegarty ◽  
Clay Williams ◽  
Tara Allen ◽  
...  
Keyword(s):  
Prediction Model ◽  
Outcome Prediction ◽  
External Validation ◽  
Renal Calculi

Development of a headlamp dimming request prediction model

1975 ◽  
Author(s):  
Vivek D. Bhise ◽  
Thomas F. Swigart ◽  
Eugene I. Farber
Keyword(s):  
Prediction Model

Short-Version YLS-CMI: An Alternative Prediction Model for Juvenile Offenders at Intake

2009 ◽  
Author(s):  
Christina Campbell ◽  
Eyitayo Onifade ◽  
William Davidson ◽  
Jodie Petersen
Keyword(s):  
Juvenile Offenders ◽  
Prediction Model ◽  
Short Version

Career Choice Prediction--Model

2019 ◽  
Author(s):  
Zool Hilmi Mohamed Ashari ◽  
Norzaini Azman ◽  
Mohamad Sattar Rasul
Keyword(s):  
Prediction Model ◽  
Career Choice
Sign in / Sign up

Export Citation Format

Share Document