alright, I guess I misunderstood :) Here's the output adjusted for the local time zone:
sqlite> select dateTime, datetime(dateTime, 'unixepoch', 'localtime'), rain from archive where dateTime > 1694811638 and dateTime <= 1694898038; 1694812500|2023-09-16 00:15:00|0.0 1694813400|2023-09-16 00:30:00|0.0 1694814300|2023-09-16 00:45:00|0.0 1694815200|2023-09-16 01:00:00|0.0 1694816100|2023-09-16 01:15:00|0.0 1694817000|2023-09-16 01:30:00|0.0 1694817900|2023-09-16 01:45:00|0.0 1694818800|2023-09-16 02:00:00|0.0 1694819700|2023-09-16 02:15:00|0.0 1694820600|2023-09-16 02:30:00|0.8 1694821500|2023-09-16 02:45:00|2.4 1694822400|2023-09-16 03:00:00|3.6 1694823300|2023-09-16 03:15:00|0.4 1694824200|2023-09-16 03:30:00|0.0 1694825100|2023-09-16 03:45:00|0.0 1694826000|2023-09-16 04:00:00|0.4 1694827800|2023-09-16 04:30:00|4.4 1694828700|2023-09-16 04:45:00|0.0 1694830500|2023-09-16 05:15:00|4.4 1694831400|2023-09-16 05:30:00|0.0 1694832300|2023-09-16 05:45:00|0.0 1694834100|2023-09-16 06:15:00|4.4 1694835000|2023-09-16 06:30:00|0.0 1694835900|2023-09-16 06:45:00|0.0 1694836800|2023-09-16 07:00:00|0.0 1694837700|2023-09-16 07:15:00|0.4 1694838600|2023-09-16 07:30:00|0.4 1694839500|2023-09-16 07:45:00|0.4 1694840400|2023-09-16 08:00:00|0.0 1694841300|2023-09-16 08:15:00|0.4 1694842200|2023-09-16 08:30:00|0.4 1694843100|2023-09-16 08:45:00|0.4 1694844000|2023-09-16 09:00:00|0.0 1694846700|2023-09-16 09:45:00|8.4 1694850300|2023-09-16 10:45:00|9.2 1694851200|2023-09-16 11:00:00|0.0 1694853000|2023-09-16 11:30:00|9.2 1694853900|2023-09-16 11:45:00|0.0 1694854800|2023-09-16 12:00:00|0.0 1694855700|2023-09-16 12:15:00|0.0 1694856600|2023-09-16 12:30:00|0.0 1694857500|2023-09-16 12:45:00|0.0 1694858400|2023-09-16 13:00:00|0.0 1694859300|2023-09-16 13:15:00|0.0 1694860200|2023-09-16 13:30:00|0.0 1694861100|2023-09-16 13:45:00|0.0 1694862000|2023-09-16 14:00:00|0.0 1694862900|2023-09-16 14:15:00|0.0 1694863800|2023-09-16 14:30:00|0.0 1694864700|2023-09-16 14:45:00|0.0 1694865600|2023-09-16 15:00:00|0.0 1694866500|2023-09-16 15:15:00|0.0 1694867400|2023-09-16 15:30:00|0.0 1694868300|2023-09-16 15:45:00|0.0 1694869200|2023-09-16 16:00:00|0.0 1694870100|2023-09-16 16:15:00|0.0 1694871000|2023-09-16 16:30:00|0.0 1694871900|2023-09-16 16:45:00|0.0 1694872800|2023-09-16 17:00:00|0.0 1694873700|2023-09-16 17:15:00|0.0 1694874600|2023-09-16 17:30:00|0.0 1694875500|2023-09-16 17:45:00|0.0 1694876400|2023-09-16 18:00:00|0.0 1694877300|2023-09-16 18:15:00|0.0 1694878200|2023-09-16 18:30:00|0.0 1694879100|2023-09-16 18:45:00|0.0 1694880000|2023-09-16 19:00:00|0.0 1694880900|2023-09-16 19:15:00|0.0 1694881800|2023-09-16 19:30:00|0.0 1694882700|2023-09-16 19:45:00|0.0 1694884500|2023-09-16 20:15:00|9.2 1694885400|2023-09-16 20:30:00|0.0 1694886300|2023-09-16 20:45:00|0.0 1694887200|2023-09-16 21:00:00|0.0 1694888100|2023-09-16 21:15:00|0.0 1694889000|2023-09-16 21:30:00|0.0 1694889900|2023-09-16 21:45:00|0.0 1694890800|2023-09-16 22:00:00|0.0 1694891700|2023-09-16 22:15:00|0.0 1694892600|2023-09-16 22:30:00|0.0 1694893500|2023-09-16 22:45:00|0.0 1694894400|2023-09-16 23:00:00|0.0 1694895300|2023-09-16 23:15:00|0.0 1694896200|2023-09-16 23:30:00|0.0 1694897100|2023-09-16 23:45:00|0.0 1694898000|2023-09-17 00:00:00|0.0 sqlite> sqlite> select dateTime, datetime(dateTime, 'unixepoch', 'localtime'), sum from archive_day_rain where dateTime > 1694811638 and dateTime <= 1694898038; 1694898000|2023-09-17 00:00:00|0.8 sqlite> select dateTime, datetime(dateTime, 'unixepoch', 'localtime'), sum from archive_day_rain where dateTime > 1694822400 and dateTime <= 1694908800; 1694898000|2023-09-17 00:00:00|0.8 On Sunday, January 7, 2024 at 11:13:32 PM UTC+2 Tom Keffer wrote: > Yes, I know you posted those, but we need to see the values in the daily > summary for the same time periods. > > On Sun, Jan 7, 2024 at 1:11 PM Ξ <fcky...@gmail.com> wrote: > >> I can pull data for December (tomorrow), but in the the first two posts >> I've also posted excerpts from the db itself: >> >> https://groups.google.com/g/weewx-user/c/rIbaSfEgpFs/m/_HcbPFtXAQAJ >> 2023-09-04 19:30:00 0.39999999 0.0 >> 2023-09-04 19:45:00 0.05866666 0.0 >> 2023-09-04 20:15:00 0.0 11.2 >> 2023-09-04 20:30:00 0.0 0.0 >> 2023-09-04 20:45:00 0.0 0.0 >> >> https://groups.google.com/g/weewx-user/c/rIbaSfEgpFs/m/sUmMTLNXAQAJ >> 2023-09-16 09:45:00 1.00952380746438 8.4 >> 2023-09-16 10:45:00 1.64067796275471 9.2 >> 2023-09-16 11:00:00 0.42105263072000 0.0 >> [....] >> 2023-09-16 19:30:00 0.0 0.0 >> 2023-09-16 19:45:00 0.0 0.0 >> 2023-09-16 20:15:00 0.0 9.2 >> 2023-09-16 20:30:00 0.0 0.0 >> >> Please notice in the last one how there's a sudden 9.2 value after hours >> of no rain, in my view it's those bogus values that are discarded by >> WU/PWS but they stay in the db. >> >> On Sunday, January 7, 2024 at 5:32:31 PM UTC+2 Tom Keffer wrote: >> >>> It's possible the errant values are in the daily summaries, but not the >>> main archive table. The former is used for the NOAA reports, the latter for >>> the WU posts. >>> >>> I don't know your timezone, but I imagine something like this: >>> >>> select dateTime, datetime(dateTime, 'unixepoch', 'localtime'), rain from >>> archive where dateTime > 1694822400 and dateTime <= 1694908800; >>> select dateTime, datetime(dateTime, 'unixepoch', 'localtime'), sum from >>> archive_day_rain where dateTime > 1694822400 and dateTime <= 1694908800; >>> >>> -tk >>> >>> On Sat, Jan 6, 2024 at 6:32 PM Ξ <fcky...@gmail.com> wrote: >>> >>>> Hello Tom, >>>> >>>> I've posted above a link to the exact date I was comparing: >>>> https://www.wunderground.com/dashboard/pws/I5302/table/2023-09-16/2023-09-16/daily >>>> >>>> You can see there on September 16, 2023 the total precipitation is 9.14 >>>> mm whereas WeeWx is showing "Today's Rain: 59,2mm" >>>> >>>> Here's also the PWS link for the same date: >>>> https://www.pwsweather.com/station/pws/dolniokol?timespan=day&date=2023-09-16 >>>> It's showing a total of 9.1mm >>>> >>>> If we look for the month of December: >>>> PWS shows total of 41.7mm >>>> https://www.pwsweather.com/station/pws/dolniokol?timespan=month&date=2023-12-01 >>>> WU shows a total of 41.67mm >>>> https://www.wunderground.com/dashboard/pws/I5302/graph/2023-12-7/2023-12-7/monthly >>>> >>>> However if I look at the weewx report it's over 100mm: >>>> >>>> MONTHLY CLIMATOLOGICAL SUMMARY for Dec 2023 >>>> NAME: Dolni Okol >>>> ELEV: 1010 meters LAT: 42-29.40 N LONG: 023-29.70 E >>>> >>>> >>>> TEMPERATURE (C), RAIN (mm), WIND SPEED (m/s) >>>> >>>> HEAT COOL AVG >>>> MEAN DEG DEG WIND >>>> DOM >>>> DAY TEMP HIGH TIME LOW TIME DAYS DAYS RAIN SPEED >>>> HIGH TIME DIR >>>> >>>> ---------------------------------------------------------------------------------------- >>>> 01 9.4 14.7 13:30 -1.1 00:18 8.6 0.0 0.0 0.6 >>>> 6.6 11:58 326 >>>> 02 7.6 17.5 15:23 2.7 20:58 10.4 0.0 0.0 0.1 >>>> 3.3 14:38 325 >>>> 03 4.9 12.0 00:26 -2.0 23:56 13.1 0.0 13.2 0.1 >>>> 3.3 13:02 33 >>>> 04 -2.3 11.7 15:39 -6.3 07:48 20.3 0.0 0.0 0.0 >>>> 2.3 03:53 117 >>>> 05 -0.8 1.4 14:51 -2.5 07:23 18.8 0.0 0.0 0.0 >>>> 1.4 11:35 303 >>>> 06 0.7 1.3 14:03 -0.1 00:00 17.3 0.0 0.4 0.0 >>>> 0.6 02:03 307 >>>> 07 0.3 3.7 11:02 -2.0 23:16 17.7 0.0 0.0 0.1 >>>> 3.0 13:48 56 >>>> 08 -2.3 -0.9 13:18 -3.8 22:07 20.3 0.0 0.0 0.0 >>>> 0.0 00:00 90 >>>> 09 -2.1 1.0 14:38 -4.4 05:04 20.1 0.0 0.0 0.0 >>>> 0.9 14:42 161 >>>> 10 -0.8 10.6 15:17 -4.0 05:44 18.8 0.0 4.0 0.0 >>>> 2.3 13:02 316 >>>> 11 0.3 7.2 14:56 -3.6 07:52 17.7 0.0 0.8 0.0 >>>> 2.0 12:04 138 >>>> 12 3.8 13.6 15:35 0.1 21:58 14.2 0.0 0.8 0.0 >>>> 3.0 05:10 14 >>>> 13 3.2 11.1 14:28 0.4 04:02 14.8 0.0 0.0 0.0 >>>> 1.2 15:36 302 >>>> 14 5.7 11.7 10:36 0.6 02:20 12.3 0.0 7.2 0.1 >>>> 3.1 04:20 41 >>>> 15 1.1 2.1 03:06 -0.7 23:56 16.9 0.0 42.0 0.0 >>>> 2.8 05:17 56 >>>> 16 -2.0 -0.5 13:54 -3.7 23:59 20.0 0.0 0.0 0.0 >>>> 0.0 00:00 90 >>>> 17 -5.7 0.5 13:58 -10.5 07:32 23.7 0.0 0.0 0.0 >>>> 0.0 00:00 90 >>>> 18 -3.0 9.9 15:34 -8.1 01:40 21.0 0.0 18.8 0.0 >>>> 0.0 00:00 90 >>>> 19 -0.9 12.1 15:20 -4.6 07:04 18.9 0.0 4.8 0.0 >>>> 0.0 00:00 90 >>>> 20 1.4 9.2 15:04 -5.2 06:31 16.6 0.0 5.2 0.1 >>>> 2.6 16:48 315 >>>> 21 1.0 10.6 15:13 -3.5 20:04 17.0 0.0 0.8 0.1 >>>> 2.5 22:09 47 >>>> 22 1.9 3.7 03:57 0.1 23:01 16.1 0.0 4.0 0.2 >>>> 4.4 00:41 320 >>>> 23 2.4 5.3 11:23 -0.5 17:43 15.6 0.0 0.8 0.3 >>>> 4.5 21:58 348 >>>> 24 6.4 13.5 15:33 3.1 06:08 11.6 0.0 0.0 0.2 >>>> 4.2 16:06 337 >>>> 25 8.7 17.6 15:33 2.6 23:45 9.3 0.0 0.0 0.2 >>>> 3.2 14:08 331 >>>> 26 6.8 16.6 15:18 -0.3 05:13 11.2 0.0 0.0 0.1 >>>> 2.2 09:18 330 >>>> 27 4.3 16.0 15:26 -1.4 23:57 13.7 0.0 0.0 0.0 >>>> 2.8 01:21 51 >>>> 28 2.6 18.6 15:55 -2.7 07:19 15.4 0.0 0.0 0.1 >>>> 2.3 14:41 169 >>>> 29 2.7 15.1 15:49 -2.0 05:40 15.3 0.0 0.0 0.0 >>>> 2.0 13:05 162 >>>> 30 1.9 8.7 13:26 -2.4 04:34 16.1 0.0 0.0 0.1 >>>> 2.7 14:40 35 >>>> 31 2.3 15.5 15:20 -1.2 08:30 15.7 0.0 0.0 0.0 >>>> 1.8 11:30 177 >>>> >>>> ---------------------------------------------------------------------------------------- >>>> 2.0 18.6 28 -10.5 17 498.6 0.0 102.8 0.1 >>>> 6.6 01 342 >>>> >>>> Even though I know nothing I have the gut feeling the WS6in1 driver for >>>> Bresser doesn't handle well buffered data or the station itself passes on >>>> buffered data wrongly (but in either case PWS and WU discard those >>>> values)?! >>>> >>>> Also so sorry for the late reply here as well. >>>> >>>> Thanks, >>>> Ivo >>>> >>>> On Thursday, September 21, 2023 at 2:45:20 AM UTC+3 Tom Keffer wrote: >>>> >>>> No. That's not enough clues to narrow it down. >>>> >>>> But, you say the "spike" is in the database, but not being uploaded to >>>> PWS or Wunderground? 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