4th Data Release of Project SWAP (SWAP DR4)

Project Severe Weather Archive of the Philippines (SWAP) issues its 4th Data Release or SWAP DR4. 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 increased to more 1600 cases/events/reports. The number of potential sources remains 5 sources for this major release, but with supplementary links/sources attached, Integration of proximity rawinsonde observations (RAOBs), in line with our previous commitment, SWAP DR4 now features most (if not all) proximity soundings associated with each event, analyzed using SounderPy of Gillett (2025). Several published researches in the field of severe convective storms, as listed in the METADATA. As indicated, this project can be important to uncovering the Philippine's thermodynamic and kinematic environment on various timescales, essentially creating a baseline climatology to further understand both convective processes and long term climate linkages. However, any analyses using this archive will require careful consideration of biases therein, many of which we have discussed in the journal article (as also described). 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.菲律宾极端天气档案项目（Project Severe Weather Archive of the Philippines, 简称SWAP）正式发布其第四次数据发布成果（SWAP DR4）。本次更新包含以下内容： 1. 为提升数据精度，对地理十进制坐标（即经纬度坐标对）进行了优化完善； 2. 极端天气事件的总量已增至1600余起/事件/报告；本次正式发布的潜在数据源数量仍为5个，但新增了补充链接与补充数据源； 3. 整合邻近无线电探空观测数据（RAOBs）：兑现此前的项目承诺，SWAP DR4现已纳入与每起事件相关的绝大多数（若未完全覆盖）邻近探空数据，相关数据由Gillett于2025年开发的SounderPy工具完成分析处理； 4. 元数据（METADATA）中收录了多篇极端对流风暴领域的已发表研究成果。 如前文所述，本项目对于揭示菲律宾不同时间尺度下的热力学与运动学大气环境具有重要价值，本质上构建了一套基准气候学数据集，以进一步深化对对流过程与长期气候关联机制的理解。但使用本档案开展任何分析时，均需审慎考量其中存在的观测偏差——相关偏差的详细讨论已刊载于配套期刊论文中，如前文所述。 请参阅本公告中附带的我制作的表格，以了解Project SWAP各版本的详细信息与其他相关细节。如有意见或建议，请通过下方的SWAP联系表单提交。 ### 版本索引说明表 | 版本索引编号 | 版本描述 | 是否附带Zenodo数字对象标识符（Digital Object Identifier, DOI） | 是否可被引用 | | --- | --- | --- | --- | | 1.0、2.0、3.0等正式版本 | 正式数据发布/重大更新 | 是 | 是* | | 1.1、1.2、1.3等迭代版本 | 增量更新/补丁更新 | 是 | 是* | | x.x.1、x.x.2、x.x.3等公告版本 | 公告发布 | 是 | 否 | *注：为方便引用，您可直接使用所有版本的相关信息。详见附加说明。