VirES for Swarm – Virtual Research Environment

Author(s):  
Martin Pačes ◽  
Daniel Santillan Pedrosa ◽  
Ashley Smith

<p>VirES for Swarm [1] is a data manipulation and retrieval interface for the ESA Swarm constellation mission data products. It includes tools for studying various geomagnetic models by comparing them to the Swarm satellite measurements at given space weather and ionospheric conditions.</p><p>The list of the provided Swarm products is growing and it currently includes MAG (both, LR and HR), EFI, IBI, TEC, FAC, EEF, and IPD products as well as the collection of L2 SHA Swarm magnetic models, all synchronized to their latest available versions.</p><p>VirES provides access to the Swarm measurements and models either through an interactive visual web user interface or through a Python-based API (machine-to-machine interface). The latter allows integration of the users' custom processing and visualization.</p><p>The API allows easy extraction of data subsets of various Swarm products (temporal, spatial or filtered by ranges of other data parameters, such as, e.g., space weather conditions) without needing to handle the original product files. This includes evaluation of composed magnetic models (MCO, MLI, MMA, and MIO) and calculation of residuals along the satellite orbit.</p><p>The Python API can be exploited in the recently opened Virtual Research Environment (VRE), a JupyterLab based web interface allowing writing of processing and visualization scripts without need for software installation. The VRE comes also with pre-installed third party software libraries (processors and models) as well as the generic Python data handling and visualization tools.</p><p>A rich library of tutorial notebooks has been prepared to ease the first steps and make it a convenient tool for a broad audience ranging from students and enthusiasts to advanced scientists.</p><p>Our presentation focuses on the introduction of the new Virtual Research Environment and recent VirES evolution.</p><p>[1] https://vires.services</p>

2021 ◽  
Vol 13 (16) ◽  
pp. 3126
Author(s):  
Ferdinando Nunziata ◽  
Xiaofeng Li ◽  
Armando Marino ◽  
Weizeng Shao ◽  
Marcos Portabella ◽  
...  

In this project report, the main outcomes relevant to the Sino-European Dragon-4 cooperation project ID 32235 “Microwave satellite measurements for coastal area and extreme weather monitoring” are reported. The project aimed at strengthening the Sino-European research cooperation in the exploitation of European Space Agency, Chinese and third-party mission Earth Observation (EO) microwave satellite data. The latter were exploited to perform an effective monitoring of coastal areas, even under extreme weather conditions. An integrated multifrequency/polarization approach based on complementary microwave sensors (e.g., Synthetic Aperture Radar, scatterometer, radiometer), together with ancillary information coming from independent sources, i.e., optical imagery, numerical simulations and ground measurements, was designed. In this framework, several tasks were addressed including marine target detection, sea pollution, sea surface wind estimation and coastline extraction/classification. The main outcomes are both theoretical (i.e., new models and algorithms were developed) and applicative (i.e., user-friendly maps were provided to the end-user community of coastal area management according to smart processing of remotely sensed data). The scientific relevance consists in the development of new algorithms, the effectiveness and robustness of which were verified on actual microwave measurements, and the improvement of existing methodologies to deal with challenging test cases.


Author(s):  
Chinmay Sane ◽  
Conrad S. Tucker

With continued emphasis on sustainability-driven design, reverse logistics is emerging as a vital competitive supply chain strategy for many of the global high-tech manufacturing firms. Various original equipment manufacturers (OEMs) and multi-product manufacturing firms are enhancing their reverse logistics strategies in order to establish an optimal closed-loop supply chain through which they can introduce refurbished variants of their products back into the market. While a refurbished product strategy helps to mitigate environmental impact challenges as well as provide additional economic benefits, it is limited to an existing product market, possibly a subset of the existing market, and fails to commercialize/target new markets. In addition to refurbishing, the alternatives available for utilizing End-Of-Life (EOL) products are currently restricted to recycling and permanent disposal. In this work, the authors propose employing a new EOL option called “resynthesis” that utilizes existing waste from EOL products in a novel way. This is achieved through the synthesis of assemblies/subassemblies across multiple domains. The “newly” synthesized product can then be incorporated into the dynamics of a closed-loop supply chain. The proposed methodology enables OEMs to not only offer refurbished products as part of their reverse logistics strategy, but also provide them with resynthesized product concepts that can be used to expand to new/emerging markets. The proposed methodology provides a general framework that includes OEMs (manufacturers of the original product), retailers (distributors of the original product and collectors of the EOL products) and third-party firms (managers of the EOL products) as part of a closed-loop supply chain strategy. The proposed methodology is compared with the existing methodologies in the literature wherein a third-party supplies the OEM only with refurbished products and supplies products unsuitable for refurbishing to another firm(s) for recycling/disposal. A case study involving a multi-product electronics manufacturer is presented to demonstrate the feasibility of the proposed methodology.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
I. P. Pakhotin ◽  
I. R. Mann ◽  
K. Xie ◽  
J. K. Burchill ◽  
D. J. Knudsen

AbstractTerrestrial space weather involves the transfer of energy and momentum from the solar wind into geospace. Despite recently discovered seasonal asymmetries between auroral forms and the intensity of emissions between northern and southern hemispheres, seasonally averaged energy input into the ionosphere is still generally considered to be symmetric. Here we show, using Swarm satellite data, a preference for electromagnetic energy input at 450 km altitude into the northern hemisphere, on both the dayside and the nightside, when averaged over season. We propose that this is explained by the offset of the magnetic dipole away from Earth’s center. This introduces a larger separation between the magnetic pole and rotation axis in the south, creating different relative solar illumination of northern and southern auroral zones, resulting in changes to the strength of reflection of incident Alfvén waves from the ionosphere. Our study reveals an important asymmetry in seasonally averaged electromagnetic energy input to the atmosphere. Based on observed lower Poynting flux on the nightside this asymmetry may also exist for auroral emissions. Similar offsets may drive asymmetric energy input, and potentially aurora, on other planets.


2014 ◽  
Vol 610 ◽  
pp. 653-657
Author(s):  
Shi Xuan Liu ◽  
Xin Hong Li ◽  
Jun Kang Zeng

STK is the important tool of satellite simulation and analysis, it can be intuitive and vivid reflects the state of satellite orbit. The STKX component allows user code to respond by writing incident response and control the user to the operation of the GUI interface STK components, in order to enhance the application of interactive ability. In this paper, through the application of the STKX component, and the design of Qt Chinese interface, realize the function of orbit dynamics simulation, 2D and 3D images and satellite images show function; To realize the Two-way exchange of information. Convenient man-machine interface and Chinese interface implements the intuitive and mutual assistance, and operating process of the simulation.


2020 ◽  
Author(s):  
Alberto Garcia-Rigo ◽  
Benedikt Soja

<p>Multiple space geodetic techniques are capable of measuring effects caused by space weather events. In particular, space weather events can cause ionospheric disturbances correlated with variations in the vertical total electron content (VTEC) or the electron density (Ne) of the ionosphere.</p><p>In this regard and in the context of the new Focus Area on Geodetic Space Weather Research within IAG’s GGOS (International Association of Geodesy; Global Geodetic Observing System), the Joint Working Group 3 on Improved understanding of space weather events and their monitoring by satellite missions has been created as part of IAG Commission 4, Sub-Commission 4.3 to run for the next four years.</p><p>Within JWG3, we expect investigating different approaches to monitor space weather events using the data from different space geodetic techniques and, in particular, combinations thereof. Simulations will be beneficial to identify the contribution of different techniques and prepare for the analysis of real data. Different strategies for the combination of data will also be investigated, in particular, the weighting of estimates from different techniques in order to increase the performance and reliability of the combined estimates. Furthermore, existing algorithms for the detection and prediction of space weather events will be explored and improved to the extent possible. Furthermore, the geodetic measurement of the ionospheric electron density will be complemented by direct observations from the Sun gathered from existing spacecraft, such as SOHO, ACE, SDO, Parker Solar Probe, among others. The combination and joint evaluation of multiple datasets with the measurements of space geodetic observation techniques (e.g. geodetic VLBI) is still a great challenge. In addition, other indications for solar activity - such as the F10.7 index on solar radio flux, SOLERA as EUV proxy or rate of Global Electron Content (dGEC)-, provide additional opportunities for comparisons and validation.</p><p>Through these investigations, we will identify the key parameters useful to improve real-time/prediction of ionospheric/plasmaspheric VTEC, Ne estimates, as well as ionospheric perturbations, in case of extreme solar weather conditions. In general, we will gain a better understanding of space weather events and their effect on Earth’s atmosphere and near-Earth environment.</p>


2019 ◽  
Author(s):  
Charles-Henri Houze Cerfon ◽  
Christine Vaissié ◽  
Laurent Gout ◽  
Bruno Bastiani ◽  
Sandrine Charpentier ◽  
...  

BACKGROUND Despite wide literature on ED overcrowding, scientific knowledge on emergency physicians’ cognitive processes coping with overcrowding is limited. OBJECTIVE We sought to develop and evaluate a virtual research environment that will allow us to study the effect of physicians’ strategies and behaviours on quality of care in the context of emergency department overcrowding. METHODS A simulation-based observational study was conducted over two stages: the development of a simulation model and its evaluation. A research environment in Emergency Medicine combining virtual reality and simulated patients has been designed and developed. Then, twelve emergency physicians took part in simulation scenarios and had to manage thirteen patients during a 2-hour period. The study outcome was the authenticity of the environment through realism, consistency and mastering. The realism was the resemblance perceived by the participants between virtual and real Emergency Department. The consistency of the scenario and the participants’ mastering of the environment was expected for 90% of the participants. RESULTS The virtual emergency department was considered realistic with no significant difference from the real world concerning facilities and resources except for the length of time of procedures that was perceived to be shorter. 100% of participants deemed that patient information, decision-making and managing patient flow were similar to real clinical practice. The virtual environment was well-mastered by all participants over the course of the scenarios. CONCLUSIONS The new simulation tool, Virtual Research Environment in Emergency Medicine has been successfully designed and developed. It has been assessed as perfectly authentic by emergency physicians compared to real EDs and thus offers another way to study human factors, quality of care and patient safety in the context of ED overcrowding.


Space Weather ◽  
2018 ◽  
Vol 16 (9) ◽  
pp. 1269-1276 ◽  
Author(s):  
Matthias M. Meier ◽  
Kyle Copeland ◽  
Daniel Matthiä ◽  
Christopher J. Mertens ◽  
Kai Schennetten

2021 ◽  
Author(s):  
Jacobo Varela Rodriguez ◽  
Sacha A. Brun ◽  
Antoine Strugarek ◽  
Victor Réville ◽  
Filippo Pantellini ◽  
...  

<p><span>The aim of the study is to analyze the response of the Earth magnetosphere for various space weather conditions and model the effect of interplanetary coronal mass ejections. The magnetopause stand off distance, open-closed field lines boundary and plasma flows towards the planet surface are investigated. We use the MHD code PLUTO in spherical coordinates to perform a parametric study regarding the dynamic pressure and temperature of the solar wind as well as the interplanetary magnetic field intensity and orientation. The range of the parameters analyzed extends from regular to extreme space weather conditions consistent with coronal mass ejections at the Earth orbit. The direct precipitation of the solar wind on the Earth day side at equatorial latitudes is extremely unlikely even during super coronal mass ejections. For example, the SW precipitation towards the Earth surface for a IMF purely oriented in the Southward direction requires a IMF intensity around 1000 nT and the SW dynamic pressure above 350 nPa, space weather conditions well above super-ICMEs. The analysis is extended to previous stages of the solar evolution considering the rotation tracks from Carolan (2019). The simulations performed indicate an efficient shielding of the Earth surface 1100 Myr after the Sun enters in the main sequence. On the other hand, for early evolution phases along the Sun main sequence once the Sun rotation rate was at least 5 times faster (< 440 Myr), the Earth surface was directly exposed to the solar wind during coronal mass ejections (assuming today´s Earth magnetic field). Regarding the satellites orbiting the Earth, Southward and Ecliptic IMF orientations are particularly adverse for Geosynchronous satellites, partially exposed to the SW if the SW dynamic pressure is 8-14 nPa and the IMF intensity 10 nT. On the other hand, Medium orbit satellites at 20000 km are directly exposed to the SW during Common ICME if the IMF orientation is Southward and during Strong ICME if the IMF orientation is Earth-Sun or Ecliptic. The same way, Medium orbit satellites at 10000 km are directly exposed to the SW if a Super ICME with Southward IMF orientation impacts the Earth.</span></p><p>This work was supported by the project 2019-T1/AMB-13648 founded by the Comunidad de Madrid, grants ERC WholeSun, Exoplanets A and PNP. We extend our thanks to CNES for Solar Orbiter, PLATO and Meteo Space science support and to INSU/PNST for their financial support.</p>


2021 ◽  
Author(s):  
Ashley Smith ◽  
Martin Pačes

<p>ESA's Swarm mission continues to deliver excellent data providing insight into a wide range of geophysical phenomena. The mission is an important asset whose data are used within a number of critical resources, from geomagnetic field models to space weather services. As the product portfolio grows to better deliver on the mission's scientific goals, we face increasing complexity in accessing, processing, and visualising the data and models. ESA provides “VirES for Swarm” [1] (developed by EOX IT Services) to help solve this problem. VirES is a web-based data retrieval and visualisation tool where the majority of Swarm products are available. VirES has a graphical interface but also a machine-to-machine interface (API) for programmable use (a Python client is provided). The VirES API also provides access to geomagnetic ground observatory data, as well as forwards evaluation of geomagnetic field models to give data-model residuals. The "Virtual Research Environment" (VRE) adds utility to VirES with a free cloud-based JupyterLab interface allowing scientists to immediately program their own analysis of Swarm products using the Python ecosystem. We are augmenting this with a suite of Jupyter notebooks and dashboards, each targeting a specific use case, and seek community involvement to grow this resource.</p><p>[1] https://vires.services</p>


Sign in / Sign up

Export Citation Format

Share Document