Andrew

I used some of the posts in the thread I just cited and went looking for 
very negative temperature minima in other tables in addition to outTemp:  
archive_day_windchill and archive_day_dewpoint.  I found records with bad 
minima in both and replaced them NULL.
I have dropped the daily tables, checked that they were empty and am now 
rebuilding them.
Let's see if this works.

Roberto

On Thursday, December 13, 2018 at 1:25:19 PM UTC, Roberto Botero wrote:
>
> Hi Andrew
>
> Yes, have done both --drop and --rebuild as per the procedure in the link 
> I provided.  I am going through the replies in this post of earlier 
> https://groups.google.com/forum/#!topic/weewx-user/fZtyq_cTyZ4  where you 
> helped a lot!  
> I think I have the same issue.
>
> Roberto
>
> On Thursday, December 13, 2018 at 12:49:30 PM UTC, Andrew Milner wrote:
>>
>> did you drop daily and rebuild daily after updating the archive??
>>
>> if you did not do that try it (stop weewx first of course!!)
>>
>>
>>
>>
>>
>> On Thursday, 13 December 2018 13:03:21 UTC+2, Roberto Botero wrote:
>>>
>>> And for completeness the NOAA data for December this year shows the 
>>> offending dates.  Is there a way to just delete those records from the 
>>> database and get things up and running again?
>>>
>>>                    MONTHLY CLIMATOLOGICAL SUMMARY for Dec 2018
>>>
>>>
>>> NAME: Petts Wood, Kent, England                  
>>> ELEV: 79 meter    LAT: 51-23.38 N    LONG: 000-04.95 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   10.2   12.6  16:25    6.9  01:40    4.3    0.0    4.3    0.6    6.3  
>>> 12:20    254
>>>  02   13.4   14.8  12:25   11.8  00:05    2.6    0.0    2.3    1.2    7.2  
>>> 09:55    252
>>>  03   10.3   13.7  11:55    3.6  00:00    4.3    0.0    3.0    0.8    8.5  
>>> 12:05    251
>>>  04    4.5    7.6  14:10    0.8  08:15    7.5    0.0    1.0    0.0    1.8  
>>> 20:25    248
>>>  05   10.1   12.3  13:55    5.5  00:30    4.4    0.0    3.6    0.4    5.4  
>>> 12:50    236
>>>  06   11.6   12.8  23:15   10.0  02:55    3.5    0.0    0.0    0.9    7.2  
>>> 16:35    258
>>>  07    9.9   13.0  02:30    6.5  20:25    4.5    0.0    6.3    1.4    9.4  
>>> 06:25    253
>>>  08    9.4   11.4  14:10    7.6  00:05    4.8    0.0    4.6    1.8    8.9  
>>> 02:50    257
>>>  09    8.5    9.8  06:25    5.3  22:25    5.3    0.0    1.5    0.6    8.9  
>>> 03:15    252
>>>  10    7.0    8.7  13:15    5.6  00:20    6.1    0.0    0.0    0.1    3.1  
>>> 01:45    245
>>>  11    4.0    8.5  13:35  -67.8  08:15    7.8    0.0    0.3    0.0    2.2  
>>> 22:25    105
>>>  12    4.1    6.8  02:00  -67.8  05:25    7.7    0.0    0.0    0.2    4.5  
>>> 14:05    103
>>>  13    2.2    2.5  01:05    1.5  02:05    8.8    0.0    0.0    0.3    3.1  
>>> 00:05    112
>>>  14
>>>  15
>>>  16
>>>  17
>>>  18
>>>  19
>>>  20
>>>  21
>>>  22
>>>  23
>>>  24
>>>  25
>>>  26
>>>  27
>>>  28
>>>  29
>>>  30
>>>  31
>>> ---------------------------------------------------------------------------------------
>>>        8.6   14.8     02  -67.8     11   71.6    0.0   26.9    0.7    9.4   
>>>   07    253
>>>
>>>
>>> Thanks
>>>
>>>
>>> Roberto
>>>
>>>

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