scholarly journals Modeling Updates of Scholarly Webpages Using Archived Data

2020 ◽  
Author(s):  
Yasith Jayawardana ◽  
Alexander C. Nwala ◽  
Gavindya Jayawardena ◽  
Jian Wu ◽  
Sampath Jayarathna ◽  
...  
Keyword(s):  
Archived Data

scholarly journals Secondary Analysis of Archived Data

2011 ◽  
pp. 297-313 ◽  
Author(s):  
Louise Corti ◽  
Paul Thompson
Keyword(s):  
Secondary Analysis ◽  
Archived Data

scholarly journals MapReduce Analysis for Cloud-Archived Data

2014 ◽  
Author(s):  
Balaji Palanisamy ◽  
Aameek Singh ◽  
Nagapramod Mandagere ◽  
Gabriel Alatorre ◽  
Ling Liu
Keyword(s):  
Archived Data

Selected catalog of highly eccentric orbits of meteoroids from archived data of radio observations of faint meteors in Kharkiv, Ukraine

2020 ◽  
Vol 186 ◽  
pp. 104881
Author(s):  
S. Kolomiyets ◽  
I. Kyrychenko ◽  
S. Kundyukov ◽  
Yu. Pryimachev ◽  
Yu. Voloshchuk ◽  
...  
Keyword(s):  
Radio Observations ◽  
Eccentric Orbits ◽  
Archived Data

scholarly journals The value of archived data

2020 ◽  
Vol 2 (5) ◽  
pp. 224-225
Author(s):  
Boris Pritychenko
Keyword(s):  
Archived Data

scholarly journals Measurements of Two-Particle Correlations in e+e− Collisions at 91 GeV with ALEPH Archived Data

2019 ◽  
Vol 123 (21) ◽  
Author(s):  
Anthony Badea ◽  
Austin Baty ◽  
Paoti Chang ◽  
Gian Michele Innocenti ◽  
Marcello Maggi ◽  
...  
Keyword(s):  
Particle Correlations ◽  
Archived Data

scholarly journals A new global real-time Lagrangian diagnostic system for stratosphere-troposphere exchange: evaluation during a balloon sonde campaign in eastern Canada

2012 ◽  
Vol 12 (5) ◽  
pp. 2661-2679 ◽  
Author(s):  
M. S. Bourqui ◽  
A. Yamamoto ◽  
D. Tarasick ◽  
M. D. Moran ◽  
L.-P. Beaudoin ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Diagnostic System ◽  
Weather Forecast ◽  
Identification Algorithm ◽  
Eastern Canada ◽  
Data Set ◽  
Predictive Skill ◽  
Stratospheric Intrusions ◽  
Archived Data

Abstract. A new global real-time Lagrangian diagnostic system for stratosphere-troposphere exchange (STE) developed for Environment Canada (EC) has been delivering daily archived data since July 2010. The STE calculations are performed following the Lagrangian approach proposed in Bourqui (2006) using medium-range, high-resolution operational global weather forecasts. Following every weather forecast, trajectories are started from a dense three-dimensional grid covering the globe, and are calculated forward in time for six days of the forecast. All trajectories crossing either the dynamical tropopause (±2 PVU) or the 380 K isentrope and having a residence time greater than 12 h are archived, and also used to calculate several diagnostics. This system provides daily global STE forecasts that can be used to guide field campaigns, among other applications. The archived data set offers unique high-resolution information on transport across the tropopause for both extra-tropical hemispheres and the tropics. This will be useful for improving our understanding of STE globally, and as a reference for the evaluation of lower-resolution models. This new data set is evaluated here against measurements taken during a balloon sonde campaign with daily launches from three stations in eastern Canada (Montreal, Egbert, and Walsingham) for the period 12 July to 4 August 2010. The campaign found an unexpectedly high number of observed stratospheric intrusions: 79% (38%) of the profiles appear to show the presence of stratospheric air below than 500 hPa (700 hPa). An objective identification algorithm developed for this study is used to identify layers in the balloon-sonde profiles affected by stratospheric air and to evaluate the Lagrangian STE forecasts. We find that the predictive skill for the overall intrusion depth is very good for intrusions penetrating down to 300 and 500 hPa, while it becomes negligible for intrusions penetrating below 700 hPa. Nevertheless, the statistical representation of these deep intrusions is reasonable, with an average bias of 24%. Evaluation of the skill at representing the detailed structures of the stratospheric intrusions shows good predictive skill down to 500 hPa, reduced predictive skill between 500 and 700 hPa, and none below. A significant low statistical bias of about 30% is found in the layer between 500 to 700 hPa. However, analysis of missed events at one site, Montreal, shows that 70% of them coincide with candidate clusters of trajectories that pass through Montreal, but that are too dispersed to be detected in the close neighbourhood of the station. Within the limits of this study, this allows us to expect a negligible bias throughout the troposphere in the spatially averaged STE frequency derived from this data set, for example in climatological maps of STE mass fluxes. This first evaluation is limited to eastern Canada in one summer month with a high frequency of stratospheric intrusions, and further work is needed to evaluate this STE data set in other months and locations.

New search capabilities based on observational geometry for Mars Express data in the ESA’s Planetary Science Archive

2020 ◽  
Author(s):  
Emmanuel Grotheer ◽  
Nicolas Manaud ◽  
Keyword(s):  
User Interface ◽  
Planetary Science ◽  
Geometrical Parameters ◽  
Search Interface ◽  
Mars Express ◽  
The Public ◽  
Data Products ◽  
Planetary Missions ◽  
Search Capability ◽  
Archived Data

<div>The European Space Agency’s (ESA) Mars Express (MEX) mission to Mars has been returning valuable scientific data for ~16 years.  This data is available to the public for free via the Planetary Science Archive (PSA), which houses the raw, calibrated, and higher-level data returned by the ESA’s planetary missions, including data provided by the various MEX instrument teams.  Besides an FTP server, there is also a user interface with different search views available for the public to search for archived data.  Development of a map-based search interface is underway.  As a first step towards this, the geometrical parameters of all the data products from a wide variety of instruments had to be computed in a unified manner.  These values will be used to enable searches based on observational geometry via the Table View, and other views as well.   </div><div>1. The PSA user interfaces</div><div>The ESA’s PSA uses the Planetary Data System (PDS) format developed by NASA to store the data from its various planetary missions.  In the case of MEX, the data is stored in the PDS3 format, which primarily uses ASCII files to store and describe the data.  When first searching for new data, users would benefit from using the Table View search interface [1].  Here the user can search using various parameters, such as mission name, target (e.g. Mars), instrument name, processing level, observation times, etc.  The development of the PSA’s search capabilities continues, thus more search parameters will be added over time.  In particular, this presentation will focus on the development of new filter menus within the Table View to allow for searches based on the observational geometry of the data products. </div><div>Also available in the Table View interface is a section for “Free Search”, allowing one to use Contextual Query Language (CQL) to search over additional parameters.  These various search methods rely mainly on the metadata provided by the instrument teams in the labels associated with each of the data products.  In the case of the observational geometry searches, in order to provide a uniform search capability, the GEOGEN tool was developed by SpaceFrog Design to provide the tables of relevant parameters to be queried.</div><div> </div><div>2. Summary and Conclusions</div><div>Thanks to the efforts of the MEX instrument teams, the MEX Science Ground Segment team, and the PSA Archive Scientists and Engineers, over 16 years worth of observational data from Mars orbit are available to the public.  This data can be freely accessed at the ESA’s PSA, at .  There are multiple ways of browsing the archived data, including those from other planetary missions, though in this presentation we will focus on the new observational geometry search capability that will become available soon. </div><div>The development of the PSA’s user interface is an ongoing project, and we welcome feedback from the community for suggestions on new ways to search this wealth of data.  Feedback and suggestions can be sent to .</div>

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