A regional adaptive and assimilative three-dimensional ionospheric model

Sabbagh, Dario; Scotto, Carlo; Sgrigna, Vittorio

doi:10.1016/j.asr.2015.12.038

Cited by 4 publications

(1 citation statement)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This means that: i) the NeQuick2 and IRI2012 models less efficiently represent the real behaviour of the high latitude ionosphere when operating in long-term prediction mode and ii) the best description of the ionospheric environment at southern mid and high latitudes and over the Antarctic area is provided when autoscaled foF2 and hmF2 values are ingested into the NeQuick2 and IRI2012 models. These results again confirm how the data ingestion techniques already investigated in some previous studies (Nava et al 2011, Pezzopane et al 2011, Pietrella et al 2016, Sabbagh et al 2016 can provide better results than the climatological models.…”

Section: Discussionsupporting

confidence: 87%

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

et al. 2017

View full text Add to dashboard Cite

Within the framework of the AUSPICIO (AUtomatic Scaling of Polar Ionograms and Co-operative Ionospheric Observations) project, a limited sample of ionograms recorded mostly in 2001 and 2009, and to a lesser extent in 2006–07 and 2012–15, at the ionospheric observatories of Hobart and Macquarie Island (mid-latitude), Comandante Ferraz and Livingstone Island (high latitude), and Casey, Mawson, Davis and Scott Base (inside the Antarctic Polar Circle (APC)) were considered to study the capability of the NeQuick2 and IRI2012 models for predicting the behaviour of the ionosphere at mid- and high latitudes and over the Antarctic area. The applicability of NeQuick2 and IRI2012 was evaluated as i) climatological models taking as input the F10.7 solar activity index and ii) assimilative models ingesting the foF2 and hmF2 measurements obtained from the electron density profiles provided by the Adaptive Ionospheric Profiler (AIP). The statistical analysis results reveal that the best description of the ionosphere’s electron density is achieved when the AIP measurements are ingested into the NeQuick2 and IRI2012 models. Moreover, NeQuick2 performance is far better than IRI2012 performance outside the APC. Conversely, the IRI2012 model performs better than the NeQuick2 model inside the APC.

show abstract

Section: Discussionsupporting

confidence: 87%

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

et al. 2017

View full text Add to dashboard Cite

show abstract

Automatic scaling of critical frequency foF2 from ionograms recorded at São José dos Campos, Brazil: a comparison between Autoscala and UDIDA tools

2017

View full text Add to dashboard Cite

[Retracted] AHP‐Based Analysis Factors Influencing the Construction of a Smart City with Three‐Dimensional Regional Color

Yang

Ma²

2021

Journal of Sensors

View full text Add to dashboard Cite

Urban color is becoming more and more important in the construction of smart cities. This research mainly discusses the influencing factors of AHP-based 3D regional color smart city construction. From the perspective of city managers, the factors selected in the article that affect the choice of urban color planning are economic development, urban culture, designer’s ideas, customs, and natural environment. We use GIS to comprehensively collect basic geographic information data of the city. We use CityEngine and GIS data to quickly create virtual cities. When constructing the AHP model, once the weight value of each factor in the color-influencing factors of the entire smart city is obtained, the total ranking of the levels needs to be checked once. After that, the study uses the MATLAB program platform to realize the parametric design of the main color of the city, including the control of the changes in the spatial structure of the main color of the city, followed by the control of the transition and coordination mode between the key elements of the city color. Explorer provides comprehensive and rich 3D digital city roaming browsing, query positioning, analysis, and other functions; supports the loading of multiple data sets from the Internet and local; and can dynamically load massive 3D city simulation models above and below ground. Finally, the design of the urban architectural color or improvement plan is further carried out, and the urban color main color design plan is finally implemented in the implementation of the urban architectural color, which effectively realizes the quantitative control of the urban color. When evaluating smart city color resources, the color weight value of public facilities is 0.147, which accounts for 14.7% of the total weight value. This research helps to enhance the regional and local cultural characteristics.

show abstract

A regional adaptive and assimilative three-dimensional ionospheric model

Cited by 4 publications

References 40 publications

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

NeQuick2 and IRI2012 models applied to mid and high latitudes, and the Antarctic ionosphere

Automatic scaling of critical frequency foF2 from ionograms recorded at São José dos Campos, Brazil: a comparison between Autoscala and UDIDA tools

[Retracted] AHP‐Based Analysis Factors Influencing the Construction of a Smart City with Three‐Dimensional Regional Color

Contact Info

Product

Resources

About