July 21-23, 2017 - Multiple Rounds of Severe WeatherĪpril 28-29, 2017 - Severe Weather and Flooding November 5-6, 2017 - Tornadoes, Severe Weather and Flooding Novem- High Winds, Heavy Rain and Flooding Summaries are color coded in the following manner according to their type. The following summaries cover "significant" or widespread weather events that occurred in the region in 2017. The following summaries cover "significant" or widespread weather events that occurred in the region in 2018. June 15-16, 2019 - Severe Weather/Tornadoes/Flooding June 17-18, 2019 - Severe Weather and Flooding November 11-12, 2019 - Early-Season Snowfall Summaries are color coded in the following manner according to their type.ĭecember 16-17, 2019 - Snow / Ice / Rain The following summaries cover "significant" or widespread weather events that occurred in the region in 2019. March 19-20, 2020 - Severe Weather & Flooding March 28-29, 2020 - Severe Weather, Flooding, & High Winds May 18-19, 2020 - Severe Weather & Widespread FloodingĪpril 8-9, 2020 - Afternoon/Late Evening Severe WeatherĪp- Early Morning Severe Weather & Flooding September 7-8, 2020 - Severe Weather & Flash Flooding November 30 - Decem- Early Season Snowfall Summaries are color coded in the following manner according to their type.ĭecember 24-25, 2020 - Christmas Eve/Day Snow The following summaries cover "significant" or widespread weather events that occurred in the region in 2020. March 6-7, 2022 - Severe Weather, Tornadoes, & Floodingįebruary 24-25, 2022 - Freezing Rain/Iceįebruary 17-18, 2022 - Heavy Rain & Flooding June 13-14, 2022 - Severe Weather and Tornado J- Severe Weather, Flooding, and Tornadoes There clearly aren't too many folks with this kind of historic WeatherCat database to import.The following summaries cover "significant" or widespread weather events that occurred in the region in 2022. Once complete, I'll mail you the changes (along with sample data) and you can decide what to do with them: either incorporate them into the codebase modify them to meet Python backward compatibility rules or dump them in the nearest bin. I'll work on fixing this issue, and then continue with 1). I presume that WeatherCat has some kind of rounding error, or does not account for common unix timer variations/clock jitter/resolution or something. I have at least a pair of rows in Oct-2017 sometime after the transition to standard time that have identical timestamps. I thought I had competed the necessary changes, but when tested it with all of my data (7 years worth), I came across yet another anomaly in my WeatherCat data. I have been working on changes to weathercatimport.py to address the transition from DST to standard time (2). The import problems seems to be easily divisible into two parts which need separate solutions: 1) transition fro standard time to DST in spring and 2) transition from DST to standard time in the fall. It's all a bit of a mess really I'm not sure if its just my WeatherCat data, or the way I configured it with Adaptive interval set true or something else.ĭoes anyone have a fix for this, or do I need to work something out. However, for some reason, in my data for 2014, it does only jump forward one hour as expected and there was no extra data logged at the end of the month.įor autumn DST changes (in October in UK timezone), it seems to jump back an hour at 0200, so it repeats log entries for hour 0100 again. This gives rise to the above error when the end of the month's data is processed. It then tack on an hours worth of data for day 01 at the end of the month. Data is generally logging in local time.įor spring DST changes (in March for my UK based timezone), it seems usually to jump forward by two hours at 0100 going to 0300 rather than just one hour as you'd expect. Looking at the 7 years of data I have logged by WeatherCat, it appears that WeatherCat does not really handle DST transitions very well. **** Raw data is not in ascending date time order.
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