[R] Cumulates of snowfall within a given interval

[Stefano Sofia]

Thank you Petr,
simply perfect.

Thank you again
Stefano


         (oo)
--oOO--( )--OOo--------------------------------------
Stefano Sofia PhD
Civil Protection - Marche Region - Italy
Meteo Section
Snow Section
Via del Colle Ameno 5
60126 Torrette di Ancona, Ancona (AN)
Uff: +39 071 806 7743
E-mail: stefano.sofia using regione.marche.it
---Oo---------oO----------------------------------------

________________________________________
Da: PIKAL Petr [petr.pikal using precheza.cz]
Inviato: venerdì 30 luglio 2021 10.37
A: Stefano Sofia; r-help mailing list
Oggetto: RE: Cumulates of snowfall within a given interval

Hi

I would use ?embed function.

nr <- which(rowSums(embed(mydf$hn, 2))>=80)
mydf[nr,]

But I feel strange that variant 40,50 should be accepted but 0, 90 should not. Both after two consecutive days result in more than 80cm cumulative snow. What about 1,80 how it differs from 0, 81. basically with your constrain zero means NA so if I change all zeroes to NA I get quite close.

> nr <- which(rowSums(embed(mydf$hn, 2))>=80)
> mydf[nr,]
   data_POSIX hn
6  2018-02-06 40
13 2018-02-13 50
> nr <- which(rowSums(embed(mydf$hn, 4))>=100)
> mydf[nr,]
   data_POSIX hn
12 2018-02-12 10
13 2018-02-13 50
> nr <- which(rowSums(embed(mydf$hn, 2))>=100)
> mydf[nr,]
  data_POSIX hn
6 2018-02-06 40
>

Anyway, you need to polish the result a bit as in four consecutive days both 12 and 13 results in higher than 100 cm

Cheers
Petr

> -----Original Message-----
> From: R-help <r-help-bounces using r-project.org> On Behalf Of Stefano Sofia
> Sent: Friday, July 30, 2021 9:24 AM
> To: r-help mailing list <r-help using r-project.org>
> Subject: [R] Cumulates of snowfall within a given interval
>
> Dear R users,
> I have a data frame with daily snow cumulates (these quantities are known
> as "hn" and are expressed in cm), from the 1st of December to the 30th of
> April, for more than twenty years.
>
> I would need to find days when the sum of a given short interval (I might
> choose two consecutive days, three consecutive days or something like that)
> is higher than a threshold (it might be 80 cm, or 100 cm).
>
> I am trying with rle, but I really struggle to find an efficient algorithm.
> Could somebody help me with some hints?
>
> Thank you for your attention and your help
> Stefano
>
>
> init_day <- as.POSIXct("2018-02-01", format="%Y-%m-%d", tz="Etc/GMT-1")
> fin_day <- as.POSIXct("2018-02-20", format="%Y-%m-%d", tz="Etc/GMT-1")
> mydf <- data.frame(data_POSIX=seq(init_day, fin_day, by="1 day"))
> mydf$hn <- c(30, 0, 10, 50, NA, 40, 70, 0, 0, 0 , NA, 10, 50, 30, 30, 10, 0, 0, 90, 0)
>
> - if I choose a threshold of 100 cm in two days, I should get the 6th of
> February;
> - if I choose a threshold of 80 cm in two days I should get the 6th and the 13th
> of February, but not the 19th of February because this is a single day;
> - f I choose a threshold of 100 cm in four days, I should get the 12th of
> February.
>
>          (oo)
> --oOO--( )--OOo--------------------------------------
> Stefano Sofia PhD
> Civil Protection - Marche Region - Italy
> Meteo Section
> Snow Section
> Via del Colle Ameno 5
> 60126 Torrette di Ancona, Ancona (AN)
> Uff: +39 071 806 7743
> E-mail: stefano.sofia using regione.marche.it
> ---Oo---------oO----------------------------------------
>
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