
Project Severe Weather Archive of the Philippines (SWAP) issues its 3rd Data Release or SWAP DR3. It features the following: Improvements to the Geographic decimal coordinates (i.e. latitude-longitude pairs) for accuracy purposes, The number of severe weather events have doubled to more than 1000 cases/events/reports. Due to this, the number of potential sources has been revised from a maximum of 3 sources (DR1 to DR2) to 5 sources for this major release, The idea of technical reports was unfortunately scrapped, but was replaced instead in form of preprints/manuscript/journal articles, Improvements to the documentation, particularly to the metadata in PDF, have additional "indicators" for accuracy and reliability purposes, and SWAP DR3 will continue to feature more proximity rawinsonde observations (RAOBs or proximity sounding profiles) as queried and analyzed through SounderPy of Gillett (2024). However, for this major update, we are importing back the SWAP DR2 Soundings for the moment. SWAP DR4 (slated next year) will feature many, if not all, of the sounding cases (apologies for the delay). At the moment, we are also conducting an additional research with regards to the hail climatology of the Philippines (Manalo et al. in preparation), and additional case studies; (a) 13 August 2021 Hailstorm in the Province of Bulacan and (b) 27 May 2024 Tornadic Supercell in the Province of Pampanga. The 13 August 2021 Hailstorm case study is already available in arXiv as a preprint (also under review in Springer's APJAS). You can read the manuscript to this link. File inclusion of SWAP DR3; 3 standard CSV file formats containing tornadoes, hail, and waterspout reports (can easily imported to Pandas or GeoPandas), 1 documentation file compiling the severe weather reports/events and containing hyperlinks/sources/evidences. This includes few, basic data visualization of each severe weather phenomena, and 2 zip files containing SWAP DR2's proximity soundings (either observed or from ERA5 Reanalysis queried in SounderPy as mentioned before), limited to several cases of tornadoes and hail events, Kindly see the attached table I created in this announcement for the versions of Project SWAP and other details. If you have comments, kindly use the SWAP Contact Form below. Indexing number of Versions Description w/ Zenodo DOI? Is it citable? Version 1.0, 2.0, 3.0, and so on... Major Data Release/Major Update Yes Yes* Version 1.1, 1.2, 1.3, and so on... Incremental Update/Patch Yes Yes* Version x.x.1, x.x.2, x.x.3, and so on... Announcement Yes No *Note: You can just cite all the versions for your ease. See the Additional Description.
No. of Severe Weather Events: 1094* Before 2010 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 77 7 19 22 39 38 36 34 49 51 53 104 82 102 68 287 26** *As of March 17, 2025. Past years/events/cases, including their supporting evidences, remains difficult to scour/dig around. **As of March 17, 2025. We are still at the beginning phase of 2025 Severe Weather Season. If you use this dataset/archive, kindly cite either of the following; Capuli, G. H. (2024). Project Severe Weather Archive of the Philippines (SWAP). Part 1: Establishing a Baseline Climatology for Severe Weather across the Philippine Archipelago. Annals of Geophysics, 67, p. GC554. https://doi.org/10.4401/ag-9151 or Capuli, G. H. (2024). Project Severe Weather Archive of the Philippines (SWAP). Zenodo. https://doi.org/10.5281/zenodo.11236890 You can contact me through this form: SWAP Contact Form or through the email.
Climatological Baseline, Severe Weather Events (SWEs) - Tornadoes, Hail Events, Waterspouts, Archiving
Climatological Baseline, Severe Weather Events (SWEs) - Tornadoes, Hail Events, Waterspouts, Archiving
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
