I'm a little confused by the similarity of the descriptions for the "hour1" and "last60m" variable tags.
Do the "hour1" tags reset at the 00:00 minute:second of each hour local time(or UTC time) and start accumulations again then?
Do the "last60m" tags contain the data that was current exactly 60 minutes ago (like the "actual" current numbers, but offset by 60 minutes)?
Which should be used (hour1 or last60m) if the actual numeric change in the data (old v.s. "actual") value is to be used (like temperature change, baro change, etc.)?
There seems to be no "yesterday" tags to complement the "day1" tags, so is there an easy way to get yesterday's values (such as for rain total, temp hi/low+times, etc.)?
any help is appreciated...
thanks in advance,
Ken
A several questions re: variables
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saratogaWX
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A several questions re: variables
Free Weather website PHP templates and scripts at Saratoga-Weather.org
Re: A several questions re: variables
Q1. & Q2: Yes
Q3: last60m; i´d say, but for baro change: the variable is not useful as it has a bug (you might calculate the 3h VP2 trend by yourself)
viewtopic.php?f=18&t=5651&p=8859&hilit=barotrend#p8859
Q4. seqday_ gives you the values in the past days
Q3: last60m; i´d say, but for baro change: the variable is not useful as it has a bug (you might calculate the 3h VP2 trend by yourself)
viewtopic.php?f=18&t=5651&p=8859&hilit=barotrend#p8859
Q4. seqday_ gives you the values in the past days
seqday1_utcdate 20110730043115_20110729043115_20110728043115_20110727043115_20110726043115_20110725043115_20110724043115_20110723043115_20110722043115_20110721043115_20110720043115_20110719043115_20110718043115_20110717043115_20110716043115_20110715043115_20110714043115_20110713043115_20110712043115_20110711043115_20110710043115_20110709043115_20110708043115_20110707043115_
seqday1_localdate 20110730063115_20110729063115_20110728063115_20110727063115_20110726063115_20110725063115_20110724063115_20110723063115_20110722063115_20110721063115_20110720063115_20110719063115_20110718063115_20110717063115_20110716063115_20110715063115_20110714063115_20110713063115_20110712063115_20110711063115_20110710063115_20110709063115_20110708063115_20110707063115_
seqday1_wind0_gustspeed_kn 3.3_2.6_2.6_2.0_2.8_4.3_2.5_4.1_4.0_6.7_4.6_3.7_4.0_1.7_3.4_3.7_4.5_3.1_2.6_3.4_2.9_3.5_3.6_3.0_2.2_1.9_4.1_2.9_3.0_4.1_3.8_2.8_3.1_2.9_4.2_3.4_4.3_3.6_5.4_4.1_4.5_
seqday1_wind0_speed_kn 3.0_2.3_2.2_1.5_2.5_4.1_2.2_3.9_3.8_6.7_4.3_3.5_3.8_1.2_3.1_3.6_4.2_2.7_2.2_3.0_2.5_3.1_3.2_2.8_1.8_1.4_4.0_2.5_2.7_3.9_3.5_2.4_2.7_2.6_4.0_3.1_4.1_3.2_5.3_4.0_4.6_
seqday1_wind0_maindir_deg 203_248_68_45_225_248_270_225_225_248_45_203_225_270_225_270_248_68_45_135_270_225_68_270_45_45_270_315_270_270_270_68_45_248_248_248_203_203_248_225_225_
seqday1_wind0_chill_c 16.1_16.1_20.1_18.2_12.5_10.4_12.5_13.7_14.9_10.1_16.4_13.9_15.0_19.5_15.3_12.9_17.6_24.5_20.5_20.3_21.0_16.9_21.9_22.8_22.2_21.2_13.5_13.1_13.1_14.4_22.7_25.8_25.0_20.6_15.4_13.4_13.5_19.0_21.5_14.8_12.8_
seqday1_rain0_rate_mm 0.0_0.2_0.0_0.0_0.0_0.2_0.3_0.5_0.0_0.5_4.6_0.0_0.4_0.0_0.0_0.0_2.6_0.0_0.0_2.2_0.8_0.6_0.0_0.0_0.0_0.0_0.0_0.0_0.3_7.9_0.0_0.0_0.0_0.0_0.0_0.2_0.6_1.0_0.1_0.0_0.0_
seqday1_rain0_total_mm 1.60_3.60_0.00_0.00_0.20_1.60_5.00_6.20_0.00_13.60_27.80_0.20_6.40_0.00_0.00_1.60_27.20_0.00_0.00_17.60_5.60_6.80_0.00_0.00_0.00_0.00_0.00_0.20_2.80_55.60_0.00_0.00_0.00_0.00_0.00_1.80_7.80_9.80_0.60_0.00_0.00_
seqday1_rain0_totalcumul_mm 1.60_3.60_0.00_0.00_0.20_1.60_5.00_6.20_0.00_13.60_27.80_0.20_6.40_0.00_0.00_1.60_27.20_0.00_0.00_17.60_5.60_6.80_0.00_0.00_0.00_0.00_0.00_0.20_2.80_55.60_0.00_0.00_0.00_0.00_0.00_1.80_7.80_9.80_0.60_0.00_0.00_
seqday1_thb0_temp_c 20.4_20.6_19.6_17.4_16.5_17.1_18.0_18.5_18.1_18.7_19.5_19.5_21.0_19.8_19.3_21.2_24.3_24.3_23.6_24.3_23.7_23.3_24.0_23.8_22.4_19.9_18.5_19.1_20.9_23.1_24.7_24.8_23.3_20.7_18.9_19.5_21.7_22.7_20.4_18.1_18.4_
seqday1_thb0_tempmin_c 19.9_20.0_18.4_15.9_15.7_16.8_17.6_18.1_17.3_17.8_18.7_18.7_20.5_18.1_18.4_20.2_22.9_22.9_22.7_23.5_22.8_22.4_22.8_21.6_20.9_18.1_18.1_18.5_20.0_21.8_22.9_23.3_21.7_19.1_18.5_19.3_20.4_21.5_18.6_17.6_18.2_
seqday1_thb0_tempmax_c 20.9_21.1_20.9_19.1_17.2_17.7_18.7_18.9_19.0_20.3_21.3_20.6_21.5_21.5_20.2_22.9_25.6_25.8_24.4_25.1_24.8_24.6_25.1_26.4_24.4_22.0_19.2_20.0_21.9_25.2_25.9_26.2_25.2_22.9_19.4_20.4_23.2_23.9_22.7_18.8_18.4_
seqday1_thb0_dew_c 12.4_12.2_11.1_9.4_9.3_10.0_10.9_11.0_10.3_10.4_10.9_10.7_12.1_10.4_10.7_12.9_16.0_15.6_14.7_15.6_14.5_13.5_14.4_13.7_13.5_10.6_9.0_9.5_11.3_13.5_14.7_15.0_15.1_12.4_10.3_11.3_13.6_14.5_12.2_9.7_9.7_
seqday1_thb0_hum_rel 6.0_5.9_5.8_5.9_6.2_6.3_6.3_6.2_6.0_5.9_5.7_5.7_5.7_5.4_5.7_5.9_6.0_5.8_5.8_5.8_5.7_5.4_5.5_5.3_5.7_5.5_5.4_5.4_5.4_5.5_5.4_5.5_6.0_5.9_5.7_5.9_6.0_6.0_5.9_5.8_5.7_
seqday1_thb0_heatindex_c 20.4_20.6_19.6_17.4_16.5_17.1_18.0_18.5_18.1_18.7_19.5_19.5_21.0_19.8_19.3_21.2_24.3_24.3_23.6_24.3_23.7_23.3_24.0_23.8_22.4_19.9_18.5_19.1_20.9_23.1_24.7_24.8_23.3_20.7_18.9_19.5_21.7_22.7_20.4_18.1_18.4_
seqday1_thb0_humidex_c 22.9_22.9_21.4_18.4_17.5_18.4_19.7_20.3_19.5_20.2_21.3_21.1_23.4_21.3_21.0_23.9_28.9_28.8_27.4_28.7_27.4_26.4_27.7_27.0_25.5_21.5_19.3_20.2_22.8_26.2_28.5_28.8_27.4_23.2_20.3_21.4_24.8_26.4_22.8_19.2_19.5_
seqday1_thb0_press_hpa 943.0_942.4_940.8_938.2_937.6_937.7_936.3_935.6_935.5_933.3_929.7_933.5_930.7_939.0_946.0_942.2_934.4_938.1_943.6_942.2_941.8_938.5_934.5_935.4_938.0_939.5_939.8_942.4_945.9_943.8_939.2_941.4_945.0_949.2_951.2_947.9_943.4_940.1_942.3_943.6_943.4_
seqday1_thb0_sealevel_hpa 1016.8_1016.2_1014.6_1012.0_1011.4_1011.5_1010.1_1009.4_1009.3_1007.1_1003.5_1007.3_1004.5_1012.8_1019.8_1016.0_1008.2_1011.9_1017.4_1016.0_1015.6_1012.3_1008.3_1009.2_1011.8_1013.3_1013.6_1016.2_1019.7_1017.6_1013.0_1015.2_1018.8_1023.0_1025.0_1021.7_1017.2_1013.9_1016.1_1017.4_1017.2_
seqday1_th0_temp_c 15.6_16.0_18.6_16.7_12.9_10.9_12.5_13.9_15.1_11.4_15.9_14.1_15.6_17.6_14.8_13.2_17.7_21.8_20.0_19.8_20.8_18.2_20.9_21.5_20.3_19.6_13.2_12.5_12.8_14.9_21.9_22.8_22.1_20.8_14.4_13.2_14.1_20.2_20.3_14.6_13.0_
seqday1_th0_tempmin_c 12.8_13.3_11.2_5.6_8.2_8.6_10.7_12.1_10.7_10.1_9.4_10.8_10.8_7.3_10.1_11.6_14.4_13.2_14.2_15.0_15.6_12.3_14.2_13.3_13.8_9.8_8.7_7.2_8.3_11.2_12.4_12.4_12.1_15.4_10.1_10.8_11.0_14.5_13.4_10.2_11.0_
seqday1_th0_tempmax_c 20.4_21.6_24.4_24.2_17.3_14.7_14.1_16.7_19.7_12.7_23.7_18.2_24.3_25.1_19.0_14.8_20.5_28.5_25.9_26.8_27.6_24.5_27.3_28.1_26.1_26.6_17.4_17.4_17.3_18.6_29.9_29.8_28.8_27.7_17.8_16.4_15.3_27.9_25.3_18.7_15.5_
seqday1_th0_dew_c 13.5_13.0_11.6_8.4_8.8_8.7_11.1_12.2_11.2_10.6_11.7_10.1_12.5_10.5_9.7_11.5_16.6_16.6_14.7_16.3_15.7_13.4_15.0_12.7_14.8_11.7_8.4_7.5_9.5_12.0_14.6_14.7_15.7_14.3_8.6_9.3_12.8_15.2_14.4_9.7_7.8_
seqday1_th0_hum_rel 87.9_83.1_66.2_62.2_77.1_86.8_91.2_89.5_78.7_94.4_78.1_77.6_82.7_66.3_72.9_89.6_92.9_73.7_73.3_81.9_75.6_75.4_70.3_60.2_72.5_63.5_73.7_73.5_81.4_83.9_66.9_63.6_69.6_67.4_69.2_77.8_91.7_75.3_70.4_72.7_71.0_
seqday1_th0_heatindex_c 15.6_16.0_18.6_16.7_12.9_10.9_12.5_13.9_15.1_11.4_15.9_14.1_15.6_17.6_14.8_13.2_17.7_22.1_20.0_19.8_20.8_18.2_20.9_21.5_20.3_19.6_13.2_12.5_12.8_14.9_21.9_22.8_22.2_20.8_14.4_13.2_14.1_20.2_20.3_14.6_13.0_
seqday1_th0_humidex_c 18.7_18.8_20.7_17.4_13.7_11.6_14.3_16.3_17.0_13.0_18.1_15.4_18.2_19.2_15.9_15.2_22.7_26.9_23.8_24.6_25.2_21.2_24.9_24.2_24.2_21.8_13.8_12.7_13.9_17.2_25.7_26.6_26.5_24.4_15.0_14.2_16.8_24.3_23.9_15.8_13.3_
seqday1_uv0_index 1.3_1.3_1.7_2.0_1.3_1.1_0.7_1.0_1.5_0.3_1.7_1.1_0.9_2.2_1.6_0.6_0.5_2.3_2.1_1.9_1.7_2.1_1.9_1.8_1.5_2.3_1.1_1.5_0.9_0.9_2.1_2.5_2.5_2.3_1.6_1.1_0.2_1.8_2.1_1.3_0.1_
seqday1_sol0_radiation_wqm 187.9_198.1_289.5_340.7_208.5_148.0_112.5_140.5_246.5_69.0_238.9_170.7_125.6_344.1_248.3_101.3_80.7_326.0_308.7_264.5_253.2_323.5_293.7_311.5_261.9_362.8_156.7_243.0_183.8_112.3_295.1_364.4_364.2_319.0_204.4_191.6_68.7_251.0_291.0_177.9_58.7_
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saratogaWX
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- Joined: Tue Jun 14, 2011 2:39 am
- Location: Saratoga, CA, USA
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Re: A several questions re: variables
Thanks for the helpful response!
I've looked at both your and my seqday1_ values and have a few more questions.
Based on the _utcdate and _localdate values, it appears that the days' values are not computed just before local midnight, but sometime later. For your's, it seems to be 04:31:15Z or 06:31:15 local for each dataset. Given that the values are computed then, then what is the meaning of the _dew_c, _temp_c, and the other single entries for humidity, baro(etc). .. Are they sample values at the time of measurement or the mean/average/median of the last 24hr period?
For tempmax/tempmin, are those the highest/lowest values seen since the last daily computation?
It would be great if there were a last1d_ or yday_ set of variables which would capture everything that was in day1_ variables at 23:59:59 (local) so that yesterday's actual min/max times/values could be easily accessed
Best regards,
Ken
I've looked at both your and my seqday1_ values and have a few more questions.
Based on the _utcdate and _localdate values, it appears that the days' values are not computed just before local midnight, but sometime later. For your's, it seems to be 04:31:15Z or 06:31:15 local for each dataset. Given that the values are computed then, then what is the meaning of the _dew_c, _temp_c, and the other single entries for humidity, baro(etc). .. Are they sample values at the time of measurement or the mean/average/median of the last 24hr period?
For tempmax/tempmin, are those the highest/lowest values seen since the last daily computation?
It would be great if there were a last1d_ or yday_ set of variables which would capture everything that was in day1_ variables at 23:59:59 (local) so that yesterday's actual min/max times/values could be easily accessed
Best regards,
Ken
Free Weather website PHP templates and scripts at Saratoga-Weather.org
Re: A several questions re: variables
I guess your are correct with your conclusion. seqday is not calculated before midnight and might not be useful for you.
I´m using the seyhour_ variable for calculating the 3h Barotrend based on VP2 formula.
That works pretty well.
There´s another variable called last24h which would deliver also the min/max time for the extremes, but last24h not always means these values to be yesterdays extremes.
There´s another big handicap: seyday won´t give you the time at when min/max happened.
I agree, a new variable with yesterday_ similar to last24h_ would be very much appreciated, but only Boris can implement that.
I hope he does, because it might be useful for printing that info very easy with every website as well.
A different approach might be to read the needed data directly from the raw file.
all data of the current month is stored with raw files (plain text format) at the directory /data/weather/ --- e.g. this month /data/weather/201107/raw
I don´t know, but to parse and to analyse this data shouldn´t be a big deal with PHP.
I´m using the seyhour_ variable for calculating the 3h Barotrend based on VP2 formula.
That works pretty well.
There´s another variable called last24h which would deliver also the min/max time for the extremes, but last24h not always means these values to be yesterdays extremes.
There´s another big handicap: seyday won´t give you the time at when min/max happened.
I agree, a new variable with yesterday_ similar to last24h_ would be very much appreciated, but only Boris can implement that.
I hope he does, because it might be useful for printing that info very easy with every website as well.
A different approach might be to read the needed data directly from the raw file.
all data of the current month is stored with raw files (plain text format) at the directory /data/weather/ --- e.g. this month /data/weather/201107/raw
I don´t know, but to parse and to analyse this data shouldn´t be a big deal with PHP.
last24h_thb0_tempmin_time 20110731080301
last24h_thb0_tempmax_time 20110730090209
last24h_thb0_tempmin_c 18.9
last24h_thb0_tempmin_f 66.0
last24h_thb0_tempmax_c 19.7
last24h_thb0_tempmax_f 67.5
last24h_thb0_temp_trend 0
Yes, in my understanding these are averages.Given that the values are computed then, then what is the meaning of the _dew_c, _temp_c, and the other single entries for humidity, baro(etc). .. Are they sample values at the time of measurement or the mean/average/median of the last 24hr period?
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saratogaWX
- Junior Boarder
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- Joined: Tue Jun 14, 2011 2:39 am
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Re: A several questions re: variables
Thanks again for the information.
I wrote a quick PHP script to format the data so I could see what time sync is used for the data.
As you can see, the seqday1_ appear to be computed a bit after noon local, so don't contain the real min/max for the dates shown. Sigh.
The seqhour6_ do happen near to 00:00, 06:00, 12:00 and 18:00, but I don't know if that's just the luck of the draw when I'd restarted the system near noon local.
The seqhour1_ series is every hour (as specified) but with the offset of 50 minutes.
My question is: Can the processes that create the data series be time aligned to local time so the daily one happens just prior to midnight, the 6hour one always starting at a bit after midnight, and the hour1 series at 59:59 (so it contains the full hour)?
I agree that a full yesterday_ set of tags would be very helpful and complete what many other weather software packages already provide.
I'm using the info gathered here to finish a MH-plugin for the AJAX/PHP multilingual template sets .. here's my development sample so far.
Best regards,
Ken
I wrote a quick PHP script to format the data so I could see what time sync is used for the data.
Code: Select all
Decode of seqmin15_th0_temp_c
actual date 08/04/2011 12:55
Index time(computed) avg min max
0 08/04/2011 12:55 24.8 24.6 24.9
1 08/04/2011 12:40 24.6 24.3 25.0
2 08/04/2011 12:25 24.1 23.8 24.4
3 08/04/2011 12:10 23.7 23.7 23.9
4 08/04/2011 11:55 23.5 23.3 23.7
5 08/04/2011 11:40 22.7 22.4 23.3
6 08/04/2011 11:25 22.3 22.0 22.5
7 08/04/2011 11:10 21.7 21.6 22.0
8 08/04/2011 10:55 21.6 21.6 21.6
9 08/04/2011 10:40 21.2 20.9 21.6
10 08/04/2011 10:25 20.5 20.4 20.8
11 08/04/2011 10:10 20.4 20.3 20.5
12 08/04/2011 09:55 20.2 20.1 20.3
13 08/04/2011 09:40 19.7 19.4 20.1
14 08/04/2011 09:25 19.2 18.9 19.4
15 08/04/2011 09:10 18.6 18.2 18.9
16 08/04/2011 08:55 17.6 17.1 18.2
17 08/04/2011 08:40 16.7 16.3 17.1
18 08/04/2011 08:25 16.0 15.7 16.3
19 08/04/2011 08:10 15.3 14.9 15.7
20 08/04/2011 07:55 14.6 14.2 14.9
21 08/04/2011 07:40 14.0 13.7 14.2
22 08/04/2011 07:25 13.6 13.5 13.7
23 08/04/2011 07:10 13.4 13.3 13.5
24 08/04/2011 06:55 13.3 13.2 13.3
25 08/04/2011 06:40 13.1 13.0 13.2
26 08/04/2011 06:25 12.9 12.9 13.0
27 08/04/2011 06:10 12.9 12.9 12.9
28 08/04/2011 05:55 12.9 12.9 12.9
29 08/04/2011 05:40 12.9 12.8 12.9
30 08/04/2011 05:25 12.8 12.8 12.8
31 08/04/2011 05:10 12.7 12.7 12.8
32 08/04/2011 04:55 12.8 12.7 12.8
33 08/04/2011 04:40 12.8 12.7 12.8
34 08/04/2011 04:25 12.7 12.6 12.7
35 08/04/2011 04:10 12.6 12.6 12.6
36 08/04/2011 03:55 12.7 12.6 12.8
37 08/04/2011 03:40 12.9 12.8 12.9
38 08/04/2011 03:25 13.0 12.9 13.1
39 08/04/2011 03:10 13.1 13.1 13.2
40 08/04/2011 02:55 13.2 13.2 13.3
41 08/04/2011 02:40 13.3 13.3 13.4
42 08/04/2011 02:25 13.5 13.4 13.5
43 08/04/2011 02:10 13.6 13.5 13.6
44 08/04/2011 01:55 13.7 13.6 13.7
45 08/04/2011 01:40 13.8 13.7 13.9
46 08/04/2011 01:25 14.0 13.9 14.2
47 08/04/2011 01:10 14.2 14.2 14.4
48 08/04/2011 00:55 14.5 14.4 14.6
49 08/04/2011 00:40 14.7 14.6 14.8
50 08/04/2011 00:25 14.9 14.8 14.9
51 08/04/2011 00:10 15.0 14.9 15.1
52 08/03/2011 23:55 15.2 15.1 15.3
53 08/03/2011 23:40 15.4 15.3 15.5
54 08/03/2011 23:25 15.6 15.5 15.7
55 08/03/2011 23:10 15.8 15.7 15.8
56 08/03/2011 22:55 16.0 15.8 16.1
57 08/03/2011 22:40 16.2 16.1 16.3
58 08/03/2011 22:25 16.4 16.3 16.4
59 08/03/2011 22:10 16.6 16.4 16.7
60 08/03/2011 21:55 16.7 16.7 16.7
61 08/03/2011 21:40 16.8 16.8 16.9
62 08/03/2011 21:25 17.0 16.9 17.2
63 08/03/2011 21:10 17.3 17.2 17.4
64 08/03/2011 20:55 17.6 17.4 17.9
65 08/03/2011 20:40 18.1 17.9 18.3
66 08/03/2011 20:25 18.6 18.3 18.9
67 08/03/2011 20:10 19.2 18.9 19.4
68 08/03/2011 19:55 19.8 19.4 20.1
69 08/03/2011 19:40 20.5 20.2 20.7
70 08/03/2011 19:25 21.1 20.7 21.4
71 08/03/2011 19:10 21.8 21.4 22.0
72 08/03/2011 18:55 22.4 22.1 22.7
73 08/03/2011 18:40 23.0 22.7 23.1
74 08/03/2011 18:25 23.2 23.1 23.3
75 08/03/2011 18:10 23.7 23.3 24.1
76 08/03/2011 17:55 24.5 24.1 24.9
77 08/03/2011 17:40 25.0 24.9 25.1
78 08/03/2011 17:25 25.0 24.9 25.2
79 08/03/2011 17:10 25.5 25.2 25.8
80 08/03/2011 16:55 25.8 25.7 25.9
81 08/03/2011 16:40 26.0 25.9 26.1
82 08/03/2011 16:25 26.0 26.0 26.1
83 08/03/2011 16:10 26.3 26.1 26.6
84 08/03/2011 15:55 26.7 26.6 26.9
85 08/03/2011 15:40 27.0 26.8 27.3
86 08/03/2011 15:25 27.4 27.3 27.4
87 08/03/2011 15:10 27.6 27.4 27.8
88 08/03/2011 14:55 27.8 27.6 28.1
89 08/03/2011 14:40 28.3 28.2 28.6
90 08/03/2011 14:25 28.0 27.9 28.3
91 08/03/2011 14:10 28.2 28.0 28.4
92 08/03/2011 13:55 28.2 27.7 28.6
93 08/03/2011 13:40 27.6 27.3 27.7
--------------------
Decode of seqhour1_th0_temp_c
actual date 08/04/2011 12:55
Index time avg min max
0 08/04/2011 12:50 23.0 22.0 23.9
1 08/04/2011 11:50 21.3 20.4 22.0
2 08/04/2011 10:50 19.9 18.9 20.5
3 08/04/2011 09:50 17.2 15.7 18.9
4 08/04/2011 08:50 14.4 13.5 15.7
5 08/04/2011 07:50 13.2 12.9 13.5
6 08/04/2011 06:50 12.9 12.8 12.9
7 08/04/2011 05:50 12.7 12.6 12.8
8 08/04/2011 04:50 12.8 12.6 13.1
9 08/04/2011 03:50 13.3 13.1 13.5
10 08/04/2011 02:50 13.8 13.5 14.2
11 08/04/2011 01:50 14.6 14.2 14.9
12 08/04/2011 00:50 15.3 14.9 15.7
13 08/03/2011 23:50 16.1 15.7 16.4
14 08/03/2011 22:50 16.8 16.4 17.2
15 08/03/2011 21:50 17.9 17.2 18.9
16 08/03/2011 20:50 20.1 18.9 21.4
17 08/03/2011 19:50 22.6 21.4 23.3
18 08/03/2011 18:50 24.5 23.3 25.2
19 08/03/2011 17:50 25.8 25.2 26.1
20 08/03/2011 16:50 26.9 26.1 27.4
21 08/03/2011 15:50 28.0 27.4 28.6
22 08/03/2011 14:50 27.8 26.9 28.6
23 08/03/2011 13:50 26.0 24.1 27.1
--------------------
Decode of seqhour6_th0_temp_c
actual date 08/04/2011 12:55
Index time avg min max
0 08/04/2011 12:18 18.4 12.9 23.9
1 08/04/2011 06:18 13.4 12.6 14.9
2 08/04/2011 00:18 18.3 14.9 23.3
3 08/03/2011 18:18 26.5 23.3 28.6
4 08/03/2011 12:18 17.5 13.1 24.4
5 08/03/2011 06:18 13.2 11.8 15.1
6 08/03/2011 00:18 19.7 15.1 25.5
7 08/02/2011 18:18 26.1 24.2 26.9
8 08/02/2011 12:18 18.0 14.6 24.1
9 08/02/2011 06:18 15.0 14.8 15.2
10 08/02/2011 00:18 18.9 15.1 23.6
11 08/01/2011 18:18 23.9 22.9 24.6
12 08/01/2011 12:18 18.2 15.6 23.3
13 08/01/2011 06:18 15.9 15.6 16.4
14 08/01/2011 00:18 18.4 16.3 22.9
15 07/31/2011 18:18 25.0 22.9 26.9
16 07/31/2011 12:18 17.8 15.5 24.1
17 07/31/2011 06:18 16.3 15.8 16.7
18 07/31/2011 00:18 19.1 16.6 23.7
19 07/30/2011 18:18 25.8 23.7 27.8
20 07/30/2011 12:18 18.6 13.5 25.4
21 07/30/2011 06:18 14.9 13.5 16.3
22 07/30/2011 00:18 19.7 16.3 24.9
23 07/29/2011 18:18 26.9 25.0 28.1
--------------------
Decode of seqday1_th0_temp_c
actual date 08/04/2011 12:55
Index time avg min max
0 08/04/2011 12:18 19.3 11.8 28.6
1 08/03/2011 12:18 20.1 14.6 26.9
2 08/02/2011 12:18 19.5 15.1 24.6
3 08/01/2011 12:18 19.7 15.5 26.9
4 07/31/2011 12:18 19.9 13.5 27.8
5 07/30/2011 12:18 20.9 14.6 28.1
6 07/29/2011 12:18 20.7 12.3 29.7
7 07/28/2011 12:18 21.2 11.6 30.2
8 07/27/2011 12:18 19.8 10.9 27.6
9 07/26/2011 12:18 19.3 14.6 25.8
10 07/25/2011 12:18 19.8 14.2 27.1
11 07/24/2011 12:18 20.1 13.3 30.2
12 07/23/2011 12:18 21.0 13.3 30.7
13 07/22/2011 12:18 21.4 11.6 31.4
14 07/21/2011 12:18 23.4 12.8 33.4
15 07/20/2011 12:18 20.7 14.2 27.3
16 07/19/2011 12:18 19.5 10.9 27.3
17 07/18/2011 12:18 18.2 13.9 22.8
18 07/17/2011 12:18 18.4 13.5 24.4
19 07/16/2011 12:18 16.5 9.7 22.6
20 07/15/2011 12:18 16.8 10.4 23.7
21 07/14/2011 12:18 18.3 12.9 23.7
22 07/13/2011 12:18 17.2 9.8 22.6
23 07/12/2011 12:18 17.5 11.4 22.7The seqhour6_ do happen near to 00:00, 06:00, 12:00 and 18:00, but I don't know if that's just the luck of the draw when I'd restarted the system near noon local.
The seqhour1_ series is every hour (as specified) but with the offset of 50 minutes.
My question is: Can the processes that create the data series be time aligned to local time so the daily one happens just prior to midnight, the 6hour one always starting at a bit after midnight, and the hour1 series at 59:59 (so it contains the full hour)?
I agree that a full yesterday_ set of tags would be very helpful and complete what many other weather software packages already provide.
I'm using the info gathered here to finish a MH-plugin for the AJAX/PHP multilingual template sets .. here's my development sample so far.
Best regards,
Ken
Free Weather website PHP templates and scripts at Saratoga-Weather.org
-
skyewright
- Platinum Boarder
- Posts: 873
- Joined: Fri Jan 25, 2008 6:27 pm
- Location: Isle of Skye, Scotland
Re: A several questions re: variables
saratogaWX wrote:Do the "hour1" tags reset at the 00:00 minute:second of each hour local time(or UTC time) and start accumulations again then?
Do the "last60m" tags contain the data that was current exactly 60 minutes ago (like the "actual" current numbers, but offset by 60 minutes)?
You may already have this clear now, but my understanding is:saratogaWX wrote:Do the "last60m" tags contain the data that was current exactly 60 minutes ago (like the "actual" current numbers, but offset by 60 minutes)?
hour1 => The current "clock" hour. e.g. at 1415 the hour1 variables give you the max/min/agerage/whatever since 1400.
last60m => The preceding 60 minutes, e.g. at 1415 the last60m variables gives you the max/min/agerage/whatever since 1315.
-
saratogaWX
- Junior Boarder
- Posts: 36
- Joined: Tue Jun 14, 2011 2:39 am
- Location: Saratoga, CA, USA
- Contact:
Re: A several questions re: variables
I've found a way to get-around the issue of not having full yesterday_ data by using a graph upload cron set for "59 23 * * *" to snapshot the day1_ tags and put them into yday_ tags .. seems to work ok and lets me have valid yesterday data for min/max and times
Best regards,
Ken
Code for yesterday.html template
Best regards,
Ken
Code for yesterday.html template
Code: Select all
<?php
/*
File: yesterday.php
Purpose: provide a bridge to naming of weather variables from the native Meteohub software package to
Weather-Display names used in common scripts like ajax-dashboard.php and ajax-gizmo.php
This page runs via cron on Meteohub to capture the day1_ variables into new pseudo variables yday_
for capture and use of yesterday's full variables.
Author: Ken True - webmaster@saratoga-weather.org
//Version yesterday.php - V1.00 - 08-Aug-2011
*/
// --------------------------------------------------------------------------
// allow viewing of generated source
if (isset($_REQUEST["sce"]) and strtolower($_REQUEST["sce"]) == "view" ) {
//--self downloader --
$filenameReal = __FILE__;
$download_size = filesize($filenameReal);
header("Pragma: public");
header("Cache-Control: private");
header("Cache-Control: no-cache, must-revalidate");
header("Content-type: text/plain");
header("Accept-Ranges: bytes");
header("Content-Length: $download_size");
header("Connection: close");
readfile($filenameReal);
exit;
}
// variables to be captured
$WX['yday_utcdate'] = '[day1_utcdate]';
$WX['yday_localdate'] = '[day1_localdate]';
$WX['yday_wind0_maxspeeddir_deg'] = '[day1_wind0_maxspeeddir_deg]';
$WX['yday_wind0_maxspeeddir_en'] = '[day1_wind0_maxspeeddir_en]';
$WX['yday_wind0_maindir_deg'] = '[day1_wind0_maindir_deg]';
$WX['yday_wind0_maindir_en'] = '[day1_wind0_maindir_en]';
$WX['yday_wind0_gustspeed_mph'] = '[day1_wind0_gustspeed_mph]';
$WX['yday_wind0_gustspeed_bft'] = '[day1_wind0_gustspeed_bft]';
$WX['yday_wind0_gustspeed_bftint'] = '[day1_wind0_gustspeed_bftint]';
$WX['yday_wind0_gustspeedmin_time'] = '[day1_wind0_gustspeedmin_time]';
$WX['yday_wind0_gustspeedmin_mph'] = '[day1_wind0_gustspeedmin_mph]';
$WX['yday_wind0_gustspeedmin_bft'] = '[day1_wind0_gustspeedmin_bft]';
$WX['yday_wind0_gustspeedmin_bftint'] = '[day1_wind0_gustspeedmin_bftint]';
$WX['yday_wind0_gustspeedmax_time'] = '[day1_wind0_gustspeedmax_time]';
$WX['yday_wind0_gustspeedmax_deg'] = '[day1_wind0_gustspeedmax_deg]';
$WX['yday_wind0_gustspeedmax_mph'] = '[day1_wind0_gustspeedmax_mph]';
$WX['yday_wind0_gustspeedmax_bft'] = '[day1_wind0_gustspeedmax_bft]';
$WX['yday_wind0_gustspeedmax_bftint'] = '[day1_wind0_gustspeedmax_bftint]';
$WX['yday_wind0_speed_mph'] = '[day1_wind0_speed_mph]';
$WX['yday_wind0_speed_bft'] = '[day1_wind0_speed_bft]';
$WX['yday_wind0_speed_bftint'] = '[day1_wind0_speed_bftint]';
$WX['yday_wind0_speedmin_time'] = '[day1_wind0_speedmin_time]';
$WX['yday_wind0_speedmin_mph'] = '[day1_wind0_speedmin_mph]';
$WX['yday_wind0_speedmin_bft'] = '[day1_wind0_speedmin_bft]';
$WX['yday_wind0_speedmin_bftint'] = '[day1_wind0_speedmin_bftint]';
$WX['yday_wind0_speedmax_time'] = '[day1_wind0_speedmax_time]';
$WX['yday_wind0_speedmax_deg'] = '[day1_wind0_speedmax_deg]';
$WX['yday_wind0_speedmax_mph'] = '[day1_wind0_speedmax_mph]';
$WX['yday_wind0_speedmax_bft'] = '[day1_wind0_speedmax_bft]';
$WX['yday_wind0_speedmax_bftint'] = '[day1_wind0_speedmax_bftint]';
$WX['yday_wind0_chillmin_time'] = '[day1_wind0_chillmin_time]';
$WX['yday_wind0_chillmax_time'] = '[day1_wind0_chillmax_time]';
$WX['yday_wind0_chill_f'] = '[day1_wind0_chill_f]';
$WX['yday_wind0_chillmin_f'] = '[day1_wind0_chillmin_f]';
$WX['yday_wind0_chillmax_f'] = '[day1_wind0_chillmax_f]';
$WX['yday_rain0_rate_in'] = '[day1_rain0_rate_in]';
$WX['yday_rain0_ratemin_time'] = '[day1_rain0_ratemin_time]';
$WX['yday_rain0_ratemin_in'] = '[day1_rain0_ratemin_in]';
$WX['yday_rain0_ratemax_time'] = '[day1_rain0_ratemax_time]';
$WX['yday_rain0_ratemax_in'] = '[day1_rain0_ratemax_in]';
$WX['yday_rain0_total_in'] = '[day1_rain0_total_in]';
$WX['yday_rain0_total_time'] = '[day1_rain0_total_time]';
$WX['yday_rain0_days'] = '[day1_rain0_days]';
$WX['yday_thb1_temp_f'] = '[day1_thb1_temp_f]';
$WX['yday_thb1_tempmin_time'] = '[day1_thb1_tempmin_time]';
$WX['yday_thb1_tempmax_time'] = '[day1_thb1_tempmax_time]';
$WX['yday_thb1_tempmin_f'] = '[day1_thb1_tempmin_f]';
$WX['yday_thb1_tempmax_f'] = '[day1_thb1_tempmax_f]';
$WX['yday_thb1_temp_trend'] = '[day1_thb1_temp_trend]';
$WX['yday_thb1_dew_f'] = '[day1_thb1_dew_f]';
$WX['yday_thb1_dewmin_time'] = '[day1_thb1_dewmin_time]';
$WX['yday_thb1_dewmax_time'] = '[day1_thb1_dewmax_time]';
$WX['yday_thb1_dewmin_f'] = '[day1_thb1_dewmin_f]';
$WX['yday_thb1_dewmax_f'] = '[day1_thb1_dewmax_f]';
$WX['yday_thb1_dew_trend'] = '[day1_thb1_dew_trend]';
$WX['yday_thb1_heatindex_f'] = '[day1_thb1_heatindex_f]';
$WX['yday_thb1_heatindexmin_time'] = '[day1_thb1_heatindexmin_time]';
$WX['yday_thb1_heatindexmax_time'] = '[day1_thb1_heatindexmax_time]';
$WX['yday_thb1_heatindexmin_f'] = '[day1_thb1_heatindexmin_f]';
$WX['yday_thb1_heatindexmax_f'] = '[day1_thb1_heatindexmax_f]';
$WX['yday_thb1_heatindex_trend'] = '[day1_thb1_heatindex_trend]';
$WX['yday_thb1_humidex_f'] = '[day1_thb1_humidex_f]';
$WX['yday_thb1_humidexmin_time'] = '[day1_thb1_humidexmin_time]';
$WX['yday_thb1_humidexmax_time'] = '[day1_thb1_humidexmax_time]';
$WX['yday_thb1_humidexmin_f'] = '[day1_thb1_humidexmin_f]';
$WX['yday_thb1_humidexmax_f'] = '[day1_thb1_humidexmax_f]';
$WX['yday_thb1_humidex_trend'] = '[day1_thb1_humidex_trend]';
$WX['yday_thb1_hum_rel'] = '[day1_thb1_hum_rel]';
$WX['yday_thb1_hummin_time'] = '[day1_thb1_hummin_time]';
$WX['yday_thb1_hummax_time'] = '[day1_thb1_hummax_time]';
$WX['yday_thb1_hummin_rel'] = '[day1_thb1_hummin_rel]';
$WX['yday_thb1_hummax_rel'] = '[day1_thb1_hummax_rel]';
$WX['yday_thb1_hum_trend'] = '[day1_thb1_hum_trend]';
$WX['yday_thb1_press_inhg'] = '[day1_thb1_press_inhg]';
$WX['yday_thb1_pressmin_time'] = '[day1_thb1_pressmin_time]';
$WX['yday_thb1_pressmax_time'] = '[day1_thb1_pressmax_time]';
$WX['yday_thb1_pressmin_inhg'] = '[day1_thb1_pressmin_inhg]';
$WX['yday_thb1_pressmax_inhg'] = '[day1_thb1_pressmax_inhg]';
$WX['yday_thb1_press_trend'] = '[day1_thb1_press_trend]';
$WX['yday_thb1_sealevel_inhg'] = '[day1_thb1_sealevel_inhg]';
$WX['yday_thb1_sealevelmin_time'] = '[day1_thb1_sealevelmin_time]';
$WX['yday_thb1_sealevelmax_time'] = '[day1_thb1_sealevelmax_time]';
$WX['yday_thb1_sealevelmin_inhg'] = '[day1_thb1_sealevelmin_inhg]';
$WX['yday_thb1_sealevelmax_inhg'] = '[day1_thb1_sealevelmax_inhg]';
$WX['yday_th0_temp_f'] = '[day1_th0_temp_f]';
$WX['yday_th0_tempmin_time'] = '[day1_th0_tempmin_time]';
$WX['yday_th0_tempmax_time'] = '[day1_th0_tempmax_time]';
$WX['yday_th0_tempmin_f'] = '[day1_th0_tempmin_f]';
$WX['yday_th0_tempmax_f'] = '[day1_th0_tempmax_f]';
$WX['yday_th0_temp_trend'] = '[day1_th0_temp_trend]';
$WX['yday_th0_dew_f'] = '[day1_th0_dew_f]';
$WX['yday_th0_dewmin_time'] = '[day1_th0_dewmin_time]';
$WX['yday_th0_dewmax_time'] = '[day1_th0_dewmax_time]';
$WX['yday_th0_dewmin_f'] = '[day1_th0_dewmin_f]';
$WX['yday_th0_dewmax_f'] = '[day1_th0_dewmax_f]';
$WX['yday_th0_dew_trend'] = '[day1_th0_dew_trend]';
$WX['yday_th0_heatindex_f'] = '[day1_th0_heatindex_f]';
$WX['yday_th0_heatindexmin_time'] = '[day1_th0_heatindexmin_time]';
$WX['yday_th0_heatindexmax_time'] = '[day1_th0_heatindexmax_time]';
$WX['yday_th0_heatindexmin_f'] = '[day1_th0_heatindexmin_f]';
$WX['yday_th0_heatindexmax_f'] = '[day1_th0_heatindexmax_f]';
$WX['yday_th0_heatindex_trend'] = '[day1_th0_heatindex_trend]';
$WX['yday_th0_humidex_f'] = '[day1_th0_humidex_f]';
$WX['yday_th0_humidexmin_time'] = '[day1_th0_humidexmin_time]';
$WX['yday_th0_humidexmax_time'] = '[day1_th0_humidexmax_time]';
$WX['yday_th0_humidexmin_f'] = '[day1_th0_humidexmin_f]';
$WX['yday_th0_humidexmax_f'] = '[day1_th0_humidexmax_f]';
$WX['yday_th0_humidex_trend'] = '[day1_th0_humidex_trend]';
$WX['yday_th0_hum_rel'] = '[day1_th0_hum_rel]';
$WX['yday_th0_hummin_time'] = '[day1_th0_hummin_time]';
$WX['yday_th0_hummax_time'] = '[day1_th0_hummax_time]';
$WX['yday_th0_hummin_rel'] = '[day1_th0_hummin_rel]';
$WX['yday_th0_hummax_rel'] = '[day1_th0_hummax_rel]';
$WX['yday_th0_hum_trend'] = '[day1_th0_hum_trend]';
$WX['yday_uv0_index'] = '[day1_uv0_index]';
$WX['yday_uv0_indexmax_time'] = '[day1_uv0_indexmax_time]';
$WX['yday_uv0_indexmax'] = '[day1_uv0_indexmax]';
$WX['yday_sol0_radiation_wqm'] = '[day1_sol0_radiation_wqm]';
$WX['yday_sol0_radiationmax_time'] = '[day1_sol0_radiationmax_time]';
$WX['yday_sol0_radiationmax_wqm'] = '[day1_sol0_radiationmax_wqm]';
$WX['yday_sol0_et_in'] = '[day1_sol0_et_in]';
$WX['yday_sol0_etmin_in'] = '[day1_sol0_etmin_in]';
$WX['yday_sol0_etmax_in'] = '[day1_sol0_etmax_in]';
$WX['yday_sol0_etmin_time'] = '[day1_sol0_etmin_time]';
$WX['yday_sol0_etmax_time'] = '[day1_sol0_etmax_time]';
$WX['yday_data0_value_num'] = '[day1_data0_value_num]';
$WX['yday_data0_value_int'] = '[day1_data0_value_int]';
$WX['yday_data0_valuemin_num'] = '[day1_data0_valuemin_num]';
$WX['yday_data0_valuemax_num'] = '[day1_data0_valuemax_num]';
$WX['yday_data0_valuemin_int'] = '[day1_data0_valuemin_int]';
$WX['yday_data0_valuemax_int'] = '[day1_data0_valuemax_int]';
$WX['yday_data0_valuemin_time'] = '[day1_data0_valuemin_time]';
$WX['yday_data0_valuemax_time'] = '[day1_data0_valuemax_time]';
$WX['yday_data0_valuerise'] = '[day1_data0_valuerise]';
$WX['yday_data0_valuefall'] = '[day1_data0_valuefall]';
$WX['yday_data0_valuesum_num'] = '[day1_data0_valuesum_num]';
$WX['yday_data0_valuesum_int'] = '[day1_data0_valuesum_int]';
$WX['yday_data0_valuesumpermin_num'] = '[day1_data0_valuesumpermin_num]';
$WX['yday_data0_valuesumpermin_int'] = '[day1_data0_valuesumpermin_int]';
$WX['yday_data0_valuedeltasum_num'] = '[day1_data0_valuedeltasum_num]';
$WX['yday_data0_valuedeltasum_int'] = '[day1_data0_valuedeltasum_int]';
$WX['yday_data1_value_num'] = '[day1_data1_value_num]';
$WX['yday_data1_value_int'] = '[day1_data1_value_int]';
$WX['yday_data1_valuemin_num'] = '[day1_data1_valuemin_num]';
$WX['yday_data1_valuemax_num'] = '[day1_data1_valuemax_num]';
$WX['yday_data1_valuemin_int'] = '[day1_data1_valuemin_int]';
$WX['yday_data1_valuemax_int'] = '[day1_data1_valuemax_int]';
$WX['yday_data1_valuemin_time'] = '[day1_data1_valuemin_time]';
$WX['yday_data1_valuemax_time'] = '[day1_data1_valuemax_time]';
$WX['yday_data1_valuerise'] = '[day1_data1_valuerise]';
$WX['yday_data1_valuefall'] = '[day1_data1_valuefall]';
$WX['yday_data1_valuesum_num'] = '[day1_data1_valuesum_num]';
$WX['yday_data1_valuesum_int'] = '[day1_data1_valuesum_int]';
$WX['yday_data1_valuesumpermin_num'] = '[day1_data1_valuesumpermin_num]';
$WX['yday_data1_valuesumpermin_int'] = '[day1_data1_valuesumpermin_int]';
$WX['yday_data1_valuedeltasum_num'] = '[day1_data1_valuedeltasum_num]';
$WX['yday_data1_valuedeltasum_int'] = '[day1_data1_valuedeltasum_int]';
$WX['yday_data2_value_num'] = '[day1_data2_value_num]';
$WX['yday_data2_value_int'] = '[day1_data2_value_int]';
$WX['yday_data2_valuemin_num'] = '[day1_data2_valuemin_num]';
$WX['yday_data2_valuemax_num'] = '[day1_data2_valuemax_num]';
$WX['yday_data2_valuemin_int'] = '[day1_data2_valuemin_int]';
$WX['yday_data2_valuemax_int'] = '[day1_data2_valuemax_int]';
$WX['yday_data2_valuemin_time'] = '[day1_data2_valuemin_time]';
$WX['yday_data2_valuemax_time'] = '[day1_data2_valuemax_time]';
$WX['yday_data2_valuerise'] = '[day1_data2_valuerise]';
$WX['yday_data2_valuefall'] = '[day1_data2_valuefall]';
$WX['yday_data2_valuesum_num'] = '[day1_data2_valuesum_num]';
$WX['yday_data2_valuesum_int'] = '[day1_data2_valuesum_int]';
$WX['yday_data2_valuesumpermin_num'] = '[day1_data2_valuesumpermin_num]';
$WX['yday_data2_valuesumpermin_int'] = '[day1_data2_valuesumpermin_int]';
$WX['yday_data2_valuedeltasum_num'] = '[day1_data2_valuedeltasum_num]';
$WX['yday_data2_valuedeltasum_int'] = '[day1_data2_valuedeltasum_int]';
$WX['yday_data3_value_num'] = '[day1_data3_value_num]';
$WX['yday_data3_value_int'] = '[day1_data3_value_int]';
$WX['yday_data3_valuemin_num'] = '[day1_data3_valuemin_num]';
$WX['yday_data3_valuemax_num'] = '[day1_data3_valuemax_num]';
$WX['yday_data3_valuemin_int'] = '[day1_data3_valuemin_int]';
$WX['yday_data3_valuemax_int'] = '[day1_data3_valuemax_int]';
$WX['yday_data3_valuemin_time'] = '[day1_data3_valuemin_time]';
$WX['yday_data3_valuemax_time'] = '[day1_data3_valuemax_time]';
$WX['yday_data3_valuerise'] = '[day1_data3_valuerise]';
$WX['yday_data3_valuefall'] = '[day1_data3_valuefall]';
$WX['yday_data3_valuesum_num'] = '[day1_data3_valuesum_num]';
$WX['yday_data3_valuesum_int'] = '[day1_data3_valuesum_int]';
$WX['yday_data3_valuesumpermin_num'] = '[day1_data3_valuesumpermin_num]';
$WX['yday_data3_valuesumpermin_int'] = '[day1_data3_valuesumpermin_int]';
$WX['yday_data3_valuedeltasum_num'] = '[day1_data3_valuedeltasum_num]';
$WX['yday_data3_valuedeltasum_int'] = '[day1_data3_valuedeltasum_int]';
$WX['yday_data4_value_num'] = '[day1_data4_value_num]';
$WX['yday_data4_value_int'] = '[day1_data4_value_int]';
$WX['yday_data4_valuemin_num'] = '[day1_data4_valuemin_num]';
$WX['yday_data4_valuemax_num'] = '[day1_data4_valuemax_num]';
$WX['yday_data4_valuemin_int'] = '[day1_data4_valuemin_int]';
$WX['yday_data4_valuemax_int'] = '[day1_data4_valuemax_int]';
$WX['yday_data4_valuemin_time'] = '[day1_data4_valuemin_time]';
$WX['yday_data4_valuemax_time'] = '[day1_data4_valuemax_time]';
$WX['yday_data4_valuerise'] = '[day1_data4_valuerise]';
$WX['yday_data4_valuefall'] = '[day1_data4_valuefall]';
$WX['yday_data4_valuesum_num'] = '[day1_data4_valuesum_num]';
$WX['yday_data4_valuesum_int'] = '[day1_data4_valuesum_int]';
$WX['yday_data4_valuesumpermin_num'] = '[day1_data4_valuesumpermin_num]';
$WX['yday_data4_valuesumpermin_int'] = '[day1_data4_valuesumpermin_int]';
$WX['yday_data4_valuedeltasum_num'] = '[day1_data4_valuedeltasum_num]';
$WX['yday_data4_valuedeltasum_int'] = '[day1_data4_valuedeltasum_int]';
$WX['yday_data5_value_num'] = '[day1_data5_value_num]';
$WX['yday_data5_value_int'] = '[day1_data5_value_int]';
$WX['yday_data5_valuemin_num'] = '[day1_data5_valuemin_num]';
$WX['yday_data5_valuemax_num'] = '[day1_data5_valuemax_num]';
$WX['yday_data5_valuemin_int'] = '[day1_data5_valuemin_int]';
$WX['yday_data5_valuemax_int'] = '[day1_data5_valuemax_int]';
$WX['yday_data5_valuemin_time'] = '[day1_data5_valuemin_time]';
$WX['yday_data5_valuemax_time'] = '[day1_data5_valuemax_time]';
$WX['yday_data5_valuerise'] = '[day1_data5_valuerise]';
$WX['yday_data5_valuefall'] = '[day1_data5_valuefall]';
$WX['yday_data5_valuesum_num'] = '[day1_data5_valuesum_num]';
$WX['yday_data5_valuesum_int'] = '[day1_data5_valuesum_int]';
$WX['yday_data5_valuesumpermin_num'] = '[day1_data5_valuesumpermin_num]';
$WX['yday_data5_valuesumpermin_int'] = '[day1_data5_valuesumpermin_int]';
$WX['yday_data5_valuedeltasum_num'] = '[day1_data5_valuedeltasum_num]';
$WX['yday_data5_valuedeltasum_int'] = '[day1_data5_valuedeltasum_int]';
$WX['yday_data7_value_num'] = '[day1_data7_value_num]';
$WX['yday_data7_value_int'] = '[day1_data7_value_int]';
$WX['yday_data7_valuemin_num'] = '[day1_data7_valuemin_num]';
$WX['yday_data7_valuemax_num'] = '[day1_data7_valuemax_num]';
$WX['yday_data7_valuemin_int'] = '[day1_data7_valuemin_int]';
$WX['yday_data7_valuemax_int'] = '[day1_data7_valuemax_int]';
$WX['yday_data7_valuemin_time'] = '[day1_data7_valuemin_time]';
$WX['yday_data7_valuemax_time'] = '[day1_data7_valuemax_time]';
$WX['yday_data7_valuerise'] = '[day1_data7_valuerise]';
$WX['yday_data7_valuefall'] = '[day1_data7_valuefall]';
$WX['yday_data7_valuesum_num'] = '[day1_data7_valuesum_num]';
$WX['yday_data7_valuesum_int'] = '[day1_data7_valuesum_int]';
$WX['yday_data7_valuesumpermin_num'] = '[day1_data7_valuesumpermin_num]';
$WX['yday_data7_valuesumpermin_int'] = '[day1_data7_valuesumpermin_int]';
$WX['yday_data7_valuedeltasum_num'] = '[day1_data7_valuedeltasum_num]';
$WX['yday_data7_valuedeltasum_int'] = '[day1_data7_valuedeltasum_int]';
$WX['yday_data8_value_num'] = '[day1_data8_value_num]';
$WX['yday_data8_value_int'] = '[day1_data8_value_int]';
$WX['yday_data8_valuemin_num'] = '[day1_data8_valuemin_num]';
$WX['yday_data8_valuemax_num'] = '[day1_data8_valuemax_num]';
$WX['yday_data8_valuemin_int'] = '[day1_data8_valuemin_int]';
$WX['yday_data8_valuemax_int'] = '[day1_data8_valuemax_int]';
$WX['yday_data8_valuemin_time'] = '[day1_data8_valuemin_time]';
$WX['yday_data8_valuemax_time'] = '[day1_data8_valuemax_time]';
$WX['yday_data8_valuerise'] = '[day1_data8_valuerise]';
$WX['yday_data8_valuefall'] = '[day1_data8_valuefall]';
$WX['yday_data8_valuesum_num'] = '[day1_data8_valuesum_num]';
$WX['yday_data8_valuesum_int'] = '[day1_data8_valuesum_int]';
$WX['yday_data8_valuesumpermin_num'] = '[day1_data8_valuesumpermin_num]';
$WX['yday_data8_valuesumpermin_int'] = '[day1_data8_valuesumpermin_int]';
$WX['yday_data8_valuedeltasum_num'] = '[day1_data8_valuedeltasum_num]';
$WX['yday_data8_valuedeltasum_int'] = '[day1_data8_valuedeltasum_int]';
// end of variables to be captured
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