1,720,957 research outputs found
Project Severe Weather Archive of the Philippines(SWAP) Part 1: Establishing a Baseline Climatology for Severe Weather across the Philippine Archipelago
Full text linkBecause of the rudimentary reporting methods and general lack of documentation, the creation of a severe weather database within the Philippines has been difficult yet relevant target for climatology purposes and historical interest. Previous online severe weather documentation i.e. of tornadoes, waterspouts, and hail events, has also often been few, inconsistent, inactive, or is now completely decommissioned. Several countries or continents support severe weather information through either government-sponsored or independent organizations. For this work, Project SWAP stands as a collaborative exercise, with clear data attribution and open avenues for augmentation, and the creation of a common data model to store the phenomenon’s information will assist in maintaining and updating the aforementioned online archive in the Philippines. This paper presents the methods necessary for creating the SWAP database, provide broader climatological analysis of spatio-temporal patterns in severe weather occurrence within the Philippine context, and outline potential use cases for the data. We also highlight the project’s current limitations as is to any other existing and far larger database, and emphasize the need for understanding these events’ and their mesoscale environments, inline to the current severe weather climatologies across the globe
Severe Weather Archive of the Philippines (2010~Present)
No full text<p>Severe Weather Archive of the Philippines (SWAP) is a project that archives the severe weather events focused on Tornadoes, Hails, and Waterspouts with its underlying information within the Philippine Archipelago from 2010 to Present, may extend prior to 2010. Given the lack of severe weather research in the country, most of these data were obtained and compiled from various sources; mainly from news reports/records and their photographic and videographic evidences, eyewitness accounts, including a recent and formal/undergraduate case study by <a title="Severe Weather Analysis of Tornado (SWAT): Synoptic and Convective Setting of EF1 Manila Tornado (14 August 2016) over Philippines" href="https://www.researchgate.net/publication/374806461_Severe_Weather_Analysis_of_Tornado_SWAT_Synoptic_and_Convective_Setting_of_EF1_Manila_Tornado_14_August_2016_over_Philippines" target="_blank" rel="noopener">Capuli (2024)</a> on a tornadic event. </p>
<p>The goal of this project is to map the locations and time of these hazardous weather events, although researching youtube, wikipedia, or any other social media platforms for these information can be difficult for rare or older events, hence sparce. While there is no official source for such data and information in the country, this project through its severe weather documentation hopes to serve as a key starting point on such research field and historical record within the area of interest. Thus, accessible to researchers, policymakers, and the general public.</p>
<p>Furthermore, while the meteorological data can exist and so do the severe weather reports, bouncing back and forth between these two datasets or attempting to unearth evidence of climate links and evolution is a largely manual and tumultuous process. </p>
<p>In future versions, we are hoping to perform rigorous quality control on these records by attempting to review and verify radar reflectivity and radial velocity scans (assumming availability) and include their respective proximity sounding/vertical profile.</p><h3>If you use this dataset, kindly cite the following;</h3>
<h3>Capuli, G. (2024). Severe Weather Event Database in Philippines (2010~Present) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11236890</h3>
<p><strong>Notice: Currently, under work. At the moment, the dataset is restricted, but to be updated/prepared into public very soon (ETA: First week of June 2024 on the first 100 severe weather events).</strong></p>
Severe Weather Archive of the Philippines (2010~Present)
No full text<p>Severe Weather Archive of the Philippines (SWAP) is a project that archives the severe weather events focused on Tornadoes, Hails, and Waterspouts with its underlying information within the Philippine Archipelago from 2010 to Present, may extend prior to 2010. Given the lack of severe weather research in the country, most of these data were obtained and compiled from various sources; mainly from news reports/records and their photographic and videographic evidences, eyewitness accounts, including a recent and formal/undergraduate case study by <a title="Severe Weather Analysis of Tornado (SWAT): Synoptic and Convective Setting of EF1 Manila Tornado (14 August 2016) over Philippines" href="https://www.researchgate.net/publication/374806461_Severe_Weather_Analysis_of_Tornado_SWAT_Synoptic_and_Convective_Setting_of_EF1_Manila_Tornado_14_August_2016_over_Philippines" target="_blank" rel="noopener">Capuli (2024)</a> on a tornadic event. </p>
<p>The goal of this project is to map the locations and time of these hazardous weather events, although researching youtube, wikipedia, or any other social media platforms for these information can be difficult for rare or older events, hence sparce. While there is no official source for such data and information in the country, this project through its severe weather documentation hopes to serve as a key starting point on such research field and historical record within the area of interest. Thus, accessible to researchers, policymakers, and the general public.</p>
<p>Furthermore, while the meteorological data can exist and so do the severe weather reports, bouncing back and forth between these two datasets or attempting to unearth evidence of climate links and evolution is a largely manual and tumultuous process. </p>
<p>In future versions, we are hoping to perform rigorous quality control on these records by attempting to review and verify radar reflectivity and radial velocity scans (assumming availability) and include their respective proximity sounding/vertical profile.</p><h3>If you use this dataset, kindly cite the following;</h3>
<h3>Capuli, G. (2024). Severe Weather Archive of the Philippines (2010~Present) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11236890</h3>
On Benchmarking SRc Ori using Period-Luminosity Relationship
Full text linkWe conducted a benchmarking analysis of the semi-regular pulsator and red
supergiant Ori. In its dimming episode last 2020, our observational
results include the binned measurements from the space-based telescope SMEI
collated. We report a long secondary period of = 2350 10
d and a fundamental pulse of = 415 d 30 d for the interest.
Meanwhile, we also detected the first overtone component of = 185 d which
supports the current literature's standing for this newly acquired pulse. At
2.20 0.10 m, we acquired Near-Infrared -band photometric
measurements from several catalogues and surveys in accordance of the
calibration. Our assigned inherent color plays at the middle of the extremes
from the existing literature. Likewise, we attained a weighted excess color
index of = 0.340 and using a -extinction factor of = 0.382
yields an extinction of = 0.130. By subtracting extinction to all
-band photometry, using the linearity, and newly derived distance from
previous literatures, our effort results to a for Ori. In turn, this allowed us to conduct
the benchmarking scheme alongside the data from existing reports that are
stitched together using Period-Luminosity Relationship. This results to a
best-fit of
and reveals that Ori can be situated in the lower bound 18
regime caused by current pulsation trends.Comment: Brief Research Report; 8 pages, 3 figures, 1 tabl
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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