This document summarizes research that assimilated new neutral wind measurements from Fabry-Perot interferometers (FPI) into an ionospheric data assimilation model for the first time. The results showed reduced errors in estimated neutral wind velocities near the location where FPI data was ingested. This suggests an overall improvement to measurements in that region when more direct neutral wind observations are included. Assimilating data from additional FPI instruments in the future could further refine horizontal wind maps and ionosphere understanding.
We present a survey of computational and applied mathematical techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties.
Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades.
The climate and earth sciences have recently undergone a rapid transformation from a data-poor
to a data-rich environment. In particular, massive amount of data about Earth and its
environment is now continuously being generated by a large number of Earth observing satellites
as well as physics-based earth system models running on large-scale computational platforms.
These massive and information-rich datasets offer huge potential for understanding how the
Earth's climate and ecosystem have been changing and how they are being impacted by humans’
actions. This talk will discuss various challenges involved in analyzing these massive data sets
as well as opportunities they present for both advancing machine learning as well as the science
of climate change in the context of monitoring the state of the tropical forests and surface water
on a global scale.
We present a survey of computational and applied mathematical techniques that have the potential to contribute to the next generation of high-fidelity, multi-scale climate simulations. Examples of the climate science problems that can be investigated with more depth with these computational improvements include the capture of remote forcings of localized hydrological extreme events, an accurate representation of cloud features over a range of spatial and temporal scales, and parallel, large ensembles of simulations to more effectively explore model sensitivities and uncertainties.
Numerical techniques, such as adaptive mesh refinement, implicit time integration, and separate treatment of fast physical time scales are enabling improved accuracy and fidelity in simulation of dynamics and allowing more complete representations of climate features at the global scale. At the same time, partnerships with computer science teams have focused on taking advantage of evolving computer architectures such as many-core processors and GPUs. As a result, approaches which were previously considered prohibitively costly have become both more efficient and scalable. In combination, progress in these three critical areas is poised to transform climate modeling in the coming decades.
The climate and earth sciences have recently undergone a rapid transformation from a data-poor
to a data-rich environment. In particular, massive amount of data about Earth and its
environment is now continuously being generated by a large number of Earth observing satellites
as well as physics-based earth system models running on large-scale computational platforms.
These massive and information-rich datasets offer huge potential for understanding how the
Earth's climate and ecosystem have been changing and how they are being impacted by humans’
actions. This talk will discuss various challenges involved in analyzing these massive data sets
as well as opportunities they present for both advancing machine learning as well as the science
of climate change in the context of monitoring the state of the tropical forests and surface water
on a global scale.
Physical processes in the earth system are modeled with mathematical representations called parameterizations. This talk will describe some of the conceptual approaches and mathematics used do describe physical parameterizations focusing on cloud parameterizations. This includes tracing physical laws to discrete representations in coarse scale models. Clouds illustrate several of the complexities and techniques common to many physical parameterizations. This includes the problem of different scales, sub-grid scale variability. Discussions of mathematical methods for dealing with the sub-grid scale will be discussed. In-exactness or indeterminate problems for both weather and climate will be discussed, including the problems of indeterminate parameterizations, and inexact initial conditions. Different mathematical methods, including the use of stochastic methods, will be described and discussed, with examples from contemporary earth system models.
In the first part of the talk, we will present a sensitivity analysis of a novel sea ice model. neXtSIM is a continuous Lagrangian numerical model that uses an elastobrittle rheology to simulate the ice response to external forces. The response of the model is evaluated in terms of simulated ice drift distances from its initial position and from the mean position of the ensemble. The simulated ice drift is decomposed into advective and diffusive parts that are characterized separately both spatially and temporally and compared to what is obtained with a free-drift model, i.e. when the ice rheology does not play any role. Overall the large-scale response of neXtSIM is correlated to the ice thickness and the wind velocity fields while the free-drift model response is mostly correlated to the wind velocity pattern only. The seasonal variability of the model sensitivity shows the role of the ice compactness and rheology at both local and Arctic scales. Indeed, the ice drift simulated by neXtSIM in summer is close to the free-drift model, while the more compact and solid ice pack is showing a significantly different mechanical and drift behavior in winter. In contrast of the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy’s trajectories. We found that neXtSIM performs better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search-and-rescue operations. Adaptive meshes, as the one used in neXtSIM, are used to model a wide variety of physical phenomena. Some of these models, in particular those of sea ice movement, use a remeshing process to remove and insert mesh points at various points in their evolution. This represents a challenge in developing compatible data assimilation schemes, as the dimension of the state space we wish to estimate can change over time when these remeshings occur.
In the second part of the talk, we highlight the challenges that such a modeling framework represents for data assimilation setup. We then describe a remeshing scheme for an adaptive mesh in one dimension. The development of advanced data assimilation methods that are appropriate for such a moving and remeshed grid is presented. Finally we discuss the extension of these techniques to two-dimensional models, like neXtSIM.
2013 ASPRS Track, Developing an ArcGIS Toolbox for Estimating EvapoTranspirat...GIS in the Rockies
Estimating water used by vegetated areas is very important for water resources management and water rights. Traditionally the amount of water delivered to an area is calculated by installing some measuring device (flumes, weirs, flow meters, etc.). The alternative approach presented here estimates the actual water use in a vegetated areas based on ground surface energy balance concept using the ReSET model (Remote Sensing of ET – ReSET developed by IDS group in Colorado state university) that uses satellite and Arial imagery with visible and thermal bands along with weather data to estimate daily actual crop Evapotranspiration (ET) for vegetated areas. Surface energy balance models have been proven to be a robust approach for estimating vegetation evapotranspiration. One of the main limitations of wider application of these models in water resources and irrigation management is the requirement of extensive back ground in surface energy modeling. This presentation shows the development and the application of an ArcGIS toolbox that runs an automated version of the ReSET model. The tool is compatible with NASA/USGS Landsat Legacy Project. The presented ArcGIS tool automates the model in all stages and requires minimum interference from user. The tool presented accommodates both basic and advanced users. The results using the tool were tested and validated using results from manual ReSET model runs.
This deals with the assessment of several parameterizations of longwave radiation. The parametes were calibrated using a calibration tool on Ameriflux data.
Statistical estimation and inference for large data sets require computationally efficient optimization methods. Remote sensing retrievals are, in fact, estimates of the underlying true state, and their optimization routines must necessarily make compromises in order to keep up with large data volumes. A sub-group of the Remote Sensing Working Group of the SAMSI Program on Mathematical and Statistical Methods for Climate and the Earth System is investigating how optimization in Bayesian-inspired retrievals and o_-line statistical methods could be made more computationally efficient. We will report on discussions held to-date and describe how progress in the theory of data systems research can positively impact optimization methodologies.
This problem represents an interesting opportunity for scientists and statisticians to collaborate since the problem is too big for either community. The science is not well established, although fairly sophisticated ice flow models exist. They are even becoming relevant to explain some of the complexity seen in observational data. At the same time, the complex phenomena we see in observations may not be particularly relevant to assessing the risks of significant increases in sea level rise over the near future. The talk will review what we have learned about this problem through the PISCEES SciDAC project. This problem is rich with challenges and opportunities, particularly for realigning how our two communities engage each other. The talk will review the computational, scientific, and mathematical "reality checks" that might stop any reasonable person from considering this topic further. I then will point out how each of these challenges could be mitigated if these different perspectives were better integrated.
Physical processes in the earth system are modeled with mathematical representations called parameterizations. This talk will describe some of the conceptual approaches and mathematics used do describe physical parameterizations focusing on cloud parameterizations. This includes tracing physical laws to discrete representations in coarse scale models. Clouds illustrate several of the complexities and techniques common to many physical parameterizations. This includes the problem of different scales, sub-grid scale variability. Discussions of mathematical methods for dealing with the sub-grid scale will be discussed. In-exactness or indeterminate problems for both weather and climate will be discussed, including the problems of indeterminate parameterizations, and inexact initial conditions. Different mathematical methods, including the use of stochastic methods, will be described and discussed, with examples from contemporary earth system models.
In the first part of the talk, we will present a sensitivity analysis of a novel sea ice model. neXtSIM is a continuous Lagrangian numerical model that uses an elastobrittle rheology to simulate the ice response to external forces. The response of the model is evaluated in terms of simulated ice drift distances from its initial position and from the mean position of the ensemble. The simulated ice drift is decomposed into advective and diffusive parts that are characterized separately both spatially and temporally and compared to what is obtained with a free-drift model, i.e. when the ice rheology does not play any role. Overall the large-scale response of neXtSIM is correlated to the ice thickness and the wind velocity fields while the free-drift model response is mostly correlated to the wind velocity pattern only. The seasonal variability of the model sensitivity shows the role of the ice compactness and rheology at both local and Arctic scales. Indeed, the ice drift simulated by neXtSIM in summer is close to the free-drift model, while the more compact and solid ice pack is showing a significantly different mechanical and drift behavior in winter. In contrast of the free-drift model, neXtSIM reproduces the sea ice Lagrangian diffusion regimes as found from observed trajectories. The forecast capability of neXtSIM is also evaluated using a large set of real buoy’s trajectories. We found that neXtSIM performs better in simulating sea ice drift, both in terms of forecast error and as a tool to assist search-and-rescue operations. Adaptive meshes, as the one used in neXtSIM, are used to model a wide variety of physical phenomena. Some of these models, in particular those of sea ice movement, use a remeshing process to remove and insert mesh points at various points in their evolution. This represents a challenge in developing compatible data assimilation schemes, as the dimension of the state space we wish to estimate can change over time when these remeshings occur.
In the second part of the talk, we highlight the challenges that such a modeling framework represents for data assimilation setup. We then describe a remeshing scheme for an adaptive mesh in one dimension. The development of advanced data assimilation methods that are appropriate for such a moving and remeshed grid is presented. Finally we discuss the extension of these techniques to two-dimensional models, like neXtSIM.
2013 ASPRS Track, Developing an ArcGIS Toolbox for Estimating EvapoTranspirat...GIS in the Rockies
Estimating water used by vegetated areas is very important for water resources management and water rights. Traditionally the amount of water delivered to an area is calculated by installing some measuring device (flumes, weirs, flow meters, etc.). The alternative approach presented here estimates the actual water use in a vegetated areas based on ground surface energy balance concept using the ReSET model (Remote Sensing of ET – ReSET developed by IDS group in Colorado state university) that uses satellite and Arial imagery with visible and thermal bands along with weather data to estimate daily actual crop Evapotranspiration (ET) for vegetated areas. Surface energy balance models have been proven to be a robust approach for estimating vegetation evapotranspiration. One of the main limitations of wider application of these models in water resources and irrigation management is the requirement of extensive back ground in surface energy modeling. This presentation shows the development and the application of an ArcGIS toolbox that runs an automated version of the ReSET model. The tool is compatible with NASA/USGS Landsat Legacy Project. The presented ArcGIS tool automates the model in all stages and requires minimum interference from user. The tool presented accommodates both basic and advanced users. The results using the tool were tested and validated using results from manual ReSET model runs.
This deals with the assessment of several parameterizations of longwave radiation. The parametes were calibrated using a calibration tool on Ameriflux data.
Statistical estimation and inference for large data sets require computationally efficient optimization methods. Remote sensing retrievals are, in fact, estimates of the underlying true state, and their optimization routines must necessarily make compromises in order to keep up with large data volumes. A sub-group of the Remote Sensing Working Group of the SAMSI Program on Mathematical and Statistical Methods for Climate and the Earth System is investigating how optimization in Bayesian-inspired retrievals and o_-line statistical methods could be made more computationally efficient. We will report on discussions held to-date and describe how progress in the theory of data systems research can positively impact optimization methodologies.
This problem represents an interesting opportunity for scientists and statisticians to collaborate since the problem is too big for either community. The science is not well established, although fairly sophisticated ice flow models exist. They are even becoming relevant to explain some of the complexity seen in observational data. At the same time, the complex phenomena we see in observations may not be particularly relevant to assessing the risks of significant increases in sea level rise over the near future. The talk will review what we have learned about this problem through the PISCEES SciDAC project. This problem is rich with challenges and opportunities, particularly for realigning how our two communities engage each other. The talk will review the computational, scientific, and mathematical "reality checks" that might stop any reasonable person from considering this topic further. I then will point out how each of these challenges could be mitigated if these different perspectives were better integrated.
If all of the world´s cultural heritage (sports, music, fashion, architecture, literature, painting, etc..) was contained in a time capsule, what would you include to demonstrate the legacy of your country?
Ionospheric Behaviour Analysis over Thailand Using Radio Occultation TechniqueIJERA Editor
With the advent in the development of science and technology in the field of space and atmospheric science in
order to obtain accurate result, hence the use of radio occultation technique in the investigation of the amount of
electron density and Total Electron Content presence in equatorial region particularly over Thailand. In this
research, radio occultation data obtained from UCAR/CDAAC was used to observe daily, monthly, seasonal and
the entire year 2013 Ionospheric TEC and electron density variation due to changes and instability of solar
activities from time to time. It was observed that TEC was high (ionosphere was more disturbed or violent) in
May and spread over a wide range of altitude and summer season has the highest TEC value for the year 2013
which means at this period GNSS measurements was more prone to error. It was noted that ionospheric
variations or fluctuations was maximum between 200km and 450km altitude. The results of the study show that
ionospheric perturbation effects or irregularities depend on season and solar activity.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
Radio signal from extensive air showers EAS studied by the CODALEMA experiment have been detected by means of the classic short fat antennas array working in a slave trigger mode by a particle scintillator array. It is shown that the radio shower wavefront is curved with respect to the plane wavefront hypothesis. Then a new tting model (parabolic model) is proposed to fit the radio signal time delay distributions in an event-by-event basis. This model take
into account this wavefront property and several shower geometry parameters such as: the existence of an apparent localised radio-emission source located at a distance Rc from the antenna array of and the radio shower core on the
ground. Comparison of the outputs from this model and other reconstruction models used in the same experiment show:
1)- That the radio shower core is shifted from the particle shower core in a statistic analysis approach.
2)- The capability of the radiodetection method to reconstruct the curvature radius with a statistical error less than 50 g.cm−2 .
Finally a preliminary study of the primary particle nature has been performed based on a comparison between data and Xmax distribution from Aires Monte-Carlo simulations for the same set of events.
Study of Average Hourly Variations of Radio Refractivity Variations across So...iosrjce
The results of the diurnal variation of refractivity based on measurement of atmospheric pressure,
temperature and relative humidity made across some selected locations within Nigeria, Yola (90
11' N, 120
30'
E), Anyigba (70
45' N, 60
45' E), Lagos (60
27' N, 50
12' E), and Port-Harcourt (40
48'N, 70E), is presented in this
study. The study utilized three years of meteorological data measured from January 2010 to December 2013
using Vantage Pro 2 automatic weather station installed at each location. The average hourly variations of
refractivity in the dry season is largely as a result of the variations of the wet component (humidity) while the
average daily variations of surface radio refractivity in the rainy season is as a result of both the variations of
the dry (pressure) and wet (humidity) component of surface radio refractivity. It also observed that the values of
surface radio refractivity showed seasonal variations with high value during rainy season and low values
during dry season with an increase in the value of surface radio refractivity from minimum value of about
242N-units at Anyigba station to maximum value of about 384-N units at Lagos station. The diurnal variation of
refractivity of the troposphere is a function of local meteorology as observed from results obtained from the
study.
Conducted wind resource assessment study in western himalayan region and undertook geographical study of site. Work involved data analysis, validation for establishing and predicting of wind power generation potential at given site.
Codalema is one of the experiments devoted to the detection of ultra high energy cosmic rays by the radio method. The main objective is to study the features of the radio signal induced by the development in the atmosphere of extensive air showers (EAS) generated by cosmic rays in the energy range of 10 PeV-1 EeV . After a brief presentation of the detector features, the main results obtained are reported (emission mechanism, lateral distribution of the electric field, energy calibration, etc.). The first studies of the radio wave front curvature are discussed as new preliminary results.
33 Measurement of beam-recoil observables Ox, Oz and target asymmetry T for t...Cristian Randieri PhD
Measurement of beam-recoil observables Ox, Oz and target asymmetry T for the reaction γρ → K+Λ - The European Physical Journal A, Hadrons and Nuclei, February 2009, Vol. 39, N. 2, pp. 149–161, ISSN: 1434-6001, doi: 10.1140/epja/i2008-10713-4
di A. Lleres, O. Bartalini, V. Bellini, J. P. Bocquet, P. Calvat, M. Capogni, L. Casano, M. Castoldi, A. D’Angelo, J. P. Didelez, R. Di Salvo, A. Fantini, D. Franco, C. Gaulard, G. Gervino, F. Ghio, B. Girolami, A. Giusa, M. Guidal, E. Hourany, R. Kunne, V. Kuznetsov, A. Lapik, P. Levi Sandri, F. Mammoliti, G. Mandaglio, D. Moricciani, A. N. Mushkarenkov, V. Nedorezov, L. Nicoletti, C. Perrin, C. Randieri, D. Rebreyend, F. Renard, N. Rudnev, T. Russew, G. Russo, C. Schaerf, M. L. Sperduto, M. C. Sutera, A. Turinge, V. Vegna (2009)
Abstract
The double polarization (beam-recoil) observables Ox and Oz have been measured for the reac- tion γp → K+Λ from threshold production to E ∼ 1500MeV. The data were obtained with the linearly polarized beam of the GRAAL facility. Values for the target asymmetry T could also be extracted despite the use of an unpolarized target. Analyses of our results by two isobar models tend to confirm the necessity to include new or poorly known resonances in the 1900MeV mass region.
Estimation of Solar Radiation over Ibadan from Routine Meteorological Parameterstheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
EVALUATION OF VERTICAL REFRACTIVITY PROFILE OVER MICROWAVE LINK IN MOWE, NIGERIAjmicro
The radio refractive index structure of the lower section of the atmospheric boundary layer is critical in the
planning and construction of microwave communication connections. This study analyses the refractivity
profile carried out in Mowe (6.8085° N, 3.4367° E) South – Western Nigeria. Ground measurements of air
pressure, temperature, and relative humidity used in this investigation were collected from the rain gauge
of the Tropospheric Observatory Data Acquisition Network (TRODAN). The radio refractivity, associated
refractivity gradient and climatic factor were computed using data from January 2012 to December 2013.
The vertical distributions of radio refractivity were then calculated using these parameters. Seasonal
fluctuations in refractivity are visible over the location, with high values in the wet season and low values
in the dry season. The findings also suggest that propagation circumstances fluctuate in frequency, with
sub-refractive situations being most common between April and September. This is an indication that
microwave link in Mowe will suffer higher signal loss during wet season, while the loss may be mild during
the dry season. The refractivity values in this study are expected to aid in determining the necessary
mitigation to be put in place to reduce loss of signal in Mowe.
EVALUATION OF VERTICAL REFRACTIVITY PROFILE OVER MICROWAVE LINK IN MOWE, NIGERIAjmicro
The radio refractive index structure of the lower section of the atmospheric boundary layer is critical in the
planning and construction of microwave communication connections. This study analyses the refractivity
profile carried out in Mowe (6.8085° N, 3.4367° E) South – Western Nigeria. Ground measurements of air
pressure, temperature, and relative humidity used in this investigation were collected from the rain gauge
of the Tropospheric Observatory Data Acquisition Network (TRODAN). The radio refractivity, associated
refractivity gradient and climatic factor were computed using data from January 2012 to December 2013.
The vertical distributions of radio refractivity were then calculated using these parameters. Seasonal
fluctuations in refractivity are visible over the location, with high values in the wet season and low values
in the dry season. The findings also suggest that propagation circumstances fluctuate in frequency, with
sub-refractive situations being most common between April and September. This is an indication that
microwave link in Mowe will suffer higher signal loss during wet season, while the loss may be mild during
the dry season. The refractivity values in this study are expected to aid in determining the necessary
mitigation to be put in place to reduce loss of signal in Mowe.
24 Polarization observable measurements for γp → K+Λ and γp → K+Σ for energie...Cristian Randieri PhD
Polarization observable measurements for γp → K+Λ and γp → K+Σ for energies up to 1.5 GeV - The European Physical Journal A, Hadrons and Nuclei, January 2007, Vol. 31, N. 1, pp. 73-93, ISSN: 1434-6001, doi: 10.1140/epja/i2006-10167-8
di A. Lleres, O. Bartalini, V. Bellini, J. P. Bocquet, P. Calvat, M. Capogni, L. Casano, M. Castoldi, A. D'Angelo, J. P. Didelez, R. Di Salvo, A. Fantini, C. Gaulard, G. Gervino, F. Ghio, B. Girolami, A. Giusa, M. Guidal, E. Hourany, V. Kouznetsov, R. Kunne, A. Lapik, P. Levi Sandri, D. Moricciani, A. N. Mushkarenkov, V. Nedorezov, L. Nicoletti, C. Perrin, C. Randieri, D. Rebreyend, F. Renard, N. Rudnev, T. Russew, G. Russo, C. Schaerf, M. L. Sperduto, M. C. Sutera, A. Turinge (2007)
Abstract
Beam asymmetries and hyperon recoil polarizations for the reactions γ p → K +Λ and γ p → K +Σ0 have been measured from the threshold production to 1500MeV with the GRAAL facility located at the ESRF in Grenoble. These results complement the database for the beam asymmetry, covering for the first time the production threshold region. Recent theoretical analyses are presented for which the beam asymmetry data bring interesting new information and allow to better determine some resonance parameters. Most importantly, these results strengthen the need of a new D13 state around 1900MeV.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
To contact the author use ahmed.rebai2@gmail.com
Radio signal from extensive air showers EAS studied by the CODALEMA experiment have been detected by means of the classic short fat antennas array working in a slave trigger mode by a particle scintillator array. It is shown that the radio shower wavefront is curved with respect to the plane wavefront hypothesis. Then a new fitting model (parabolic model) is proposed to fit the radio signal time delay distributions in an event-by-event basis. This model take into account this wavefront property and several shower geometry parameters such as: the existence of an apparent localised radio-emission source located at a distance Rc from the antenna array of and the
radio shower core on the ground. Comparison of the outputs from this model and other reconstruction models used in the same experiment show: 1)- That the radio shower core is shifted from the particle shower core in a statistic analysis approach. 2)- The capability of the radiodetection method to reconstruct the curvature radius
with a statistical error less than 50 g.cm−2 . Finally a preliminary study of the primary particle nature has been performed based on a comparison between data and Xmax distribution from Aires Monte-Carlo simulations for the same set of events.
Energy for fulfilling basic community/individual needs has come to constitute the first article of
expectation in all contemporary societies. The exploitation of renewables notably solar in electricity
generation has brought relief to the fulfilment of energy demand especially among susceptible
communities. In this paper yearly minimum solar radiation of Kano (12.05°N; 08.2°E; altitude 472.5 m; 3 air
density 1.1705 kg/m3) for 46 years is used to generate a prediction model that fits the data using
autoregressive moving average (ARMA) and a new model termed autoregressive moving average process
(ARMAP). Comparison between the ARMA and ARMAP models showed a tremendous improve in the sum
of square error reduction between the actual data and the forecasted data by 47%.
An Extended Tropospheric Scintillation Model for Free Space Optical Communica...ijeei-iaes
Fluctuations caused mostly by tropospheric scintillation at the free space optical receiver end have been a major problem in the rapid development of telecommunication and the increasing demands for larger bandwidth is forcing the use of free space optical (FSO) technology. This paper examined existing tropospheric scintillation models of Karasawa, Van de Kamp model, Otung, Ortgies and ITU-R, and discovered that all of them operate at the microwave range, which limits their application in FSO laser beam technology that operates in PHz frequency-range. ITU-R model was later selected owing to its global application and modified for use in FSO communication system. The new model can serve as basis for communication engineers to use as platform in the link budgetary for planning and design of low margin systems of free space optical communication link.
46 optimization paper id 0017 edit septianIAESIJEECS
This paper is a comparisation study between an experimental data and Matlab simulation of output PV characteristic affected by the orientation and the tilt angle of a photovoltaic solar module with inclined plane and by the dimension of the panel. The PV panel was rotated towards the east, south and west and positioned for the angles 0°, 30°, 45°, 60° and 90°. In this position, the values of current, voltage and power are measured. In the other side, using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle was developed in MATLAB/SIMULINK model. The optimum angles were determined as positions in which maximum values of solar irradiation and maximum power were registered to characterize the P-V and V-I photovoltaic panel.
Similar to Datta barua, ursi at-rasc, 2015, canary islands, ionospheric-thermospheric state estimation with neutral wind data assimilation v3 (20)
Datta barua, ursi at-rasc, 2015, canary islands, ionospheric-thermospheric state estimation with neutral wind data assimilation v3
1. S. Datta-Barua, Illinois Institute of Technology
D. Miladinovich, Illinois Institute of Technology
G. Bust, John Hopkins University Applied Physics Laboratory
J. Makela, University of Illinois at Urbana-Champaign
URSI AT-RASC
May 18th – 22nd 2015
Gran Canaria
3. Motivation: improved estimation of ionosphere
and thermosphere states (i.e., ion drift velocity,
neutral wind velocity, etc.)
Algorithm Update: Assimilation of neutral wind
measurements for the first time
3
4. The Ionosphere and Thermosphere (I.T.):
4
Figure. [1] “Relationship of the atmosphere and ionosphere”
5. Solar
Storm
Ionosphere
ThermosphereDuring Ionospheric storms the layers
interact dynamically to redistribute
plasma in the ionosphere
One coupling mechanism with
ionospheric plasma is through
collisional drag with neutral winds of
the thermosphere
5
7. Each term can be obtained either from a:
measurement: 𝑦
or from a model: 𝑎
𝑧 = 𝑦 − 𝑎, the difference between a measurement and model
An over determined linear system can be formed
We are motivated by the idea that more measurements may
improve estimation.
7
𝑑𝑁
𝑑𝑡
= 𝑎 𝑝𝑟𝑜𝑑 + 𝑎𝑙𝑜𝑠𝑠 − 𝛻 ⋅ 𝑁 𝑣⊥ − 𝛻 ⋅ 𝑁 𝒖∥ +
𝑁g∥
𝜈 𝑂+
− D𝛻∥ 𝑁
gravity
diffusion
neutral wind
field perpendicular wind
loss
production
Electron density
per time
8. E.M.P.I.R.E. – Estimating Model Parameters from
Ionospheric Reverse Engineering
Solves the linear system:
𝑦 = 𝐻𝑥 + 𝑎 + 𝜈
𝑦 𝑁
⋮
𝑦 𝑁
𝑦𝑢
⋮
𝑦𝑢
=
𝐻 𝑁
⋮
𝐻 𝑢
𝑥 + 𝑎 + [𝜈]
𝑧 = 𝑦 − 𝑎; 𝑧 = 𝐻𝑥 + 𝜈
𝜈 –noise
It is a Kalman filter!
8
9. Global Navigation Satellite System (GNSS) Total
Electron Content (TEC) Measurements [left]
Fabry-Perot Interferometers (FPI) [right]
9
Figure [2] “Slant Total Electron Content” Figure [3] “FPI at ESRANGE, Kiruna Sweden”
10. Ionospheric Data Assimilation
4 Dimensional (IDA4D)
estimates electron density
measurement values at
specified grid points.
These measurements are
finite differenced to obtain
𝑑𝑁
𝑑𝑡
and placed into the
measurement terms (i.e., 𝑦 𝑁)
10
11. Measures the Doppler shift of 𝑂2
+
recombination emissions (630nm) to
obtain neutral wind velocities.
These velocities provide the line of
sight neutral winds 𝑢 𝐿.𝑂.𝑆. winds.
We rotate them using the inclination
and declination angles at the
measurement point to produce 𝑢∥
11
Figure [4] “FPI On a Shed”
13. Date: October 25th 2011
Where: South East United States
What: An ionospheric TEC
enhancement lingers on Earth’s night
side during the main phase of an
ionospheric storm
The Pisgah Astronomical Research
Institute FPI
Three different results:
1) No FPI Measurements
2) South and East Measurements
3) All Four Measurements
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Ingested
18. FPI measurements were assimilated for
the first time to study neutral winds in
the ionosphere
Reduced RMS difference in neutral wind
estimation at the location of ingestion
Suggests that there is an overall
improvement of measurements near the
FPI ingestion point.
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0
50
100
150
200
250
300
No Ingestion Half Ingestion
RMS
North
West
Ingested
19. 2D maps of horizontal winds in the enhanced TEC region along
with covariance analysis
Assimilation of more FPI instruments in this region.
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20. Images
[1] “Relationship of the atmosphere and ionosphere”
http://en.wikipedia.org/wiki/Ionosphere
[2] “Slant Total Electron Content”
http://gnss.be/ionosphere_tutorial.php
[3] “FPI at ESRANGE, Kiruna Sweden”
https://www.ucl.ac.uk/star/research/planets/terrestrial/
observation
[4] “FPI On a Shed” http://csl.illinois.edu/news/near-
space-study-helping-predict-storms
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