[gradsusr] Accumulated Precip issues

[Mike Manning]

Thanks Jeff,

 

That’ll work perfect  - do you know what the best way to be of templating these data files in the descriptor file which have 3 time series of hourly, 3 hourly and 6 hourly? I was thinking of using the chusb however that still requires the files to be in an incremental series. Of course if I use apf00_%f3 it’ll stop once it hits hour 54 because then it goes to 3 hourly after that. 

 

Hourly from 1-54, 3 hourly from 57-144, 6 hourly from 150-168

 

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From: gradsusr [mailto:gradsusr-bounces at gradsusr.org] On Behalf Of Jeff Duda
Sent: Thursday, 10 December 2020 1:47 PM
To: GrADS Users Forum
Subject: Re: [gradsusr] Accumulated Precip issues

 

Mike,

You can use a t-index skip value in the sum function. So you would do something like sum(apcpsfc,t=1,t=72,2) to sum precip grids from only every other time index in the control file. This, of course, assumes the interval is regular and that the 6-hourly data contains all of the 3-hourly data. I think for GFS output this is indeed true, but you should check a few time steps just to be sure. Plotting the difference between a few pairs of time-consecutive precip fields should help you confirm.

 

Jeff Duda

 

On Wed, Dec 9, 2020 at 8:30 PM Mike Manning <weathermon83 at gmail.com> wrote:

Hi all,

 

There are several models which provide GRIB2 data with say 3 hourly until x amount of hours and then 6 hourly until the end of that run.  Some models even have a tertiary time step where they run hourly, 3 hourly and then 6 hourly data..

 

At the moment for templating, I’m creating a control file for each series however this doesn’t seem ideal for accumulated precip.  EG I can use sum(apcpsfc, t=1, t=72) for a model that uses hourly from 1-72 hours, but what would I do for a model that then goes 3 hourly from 72-144 hours for accumulated precip? How would I get the entire 1-144 hours of accumulated precip totals? Is there a better way of templating the data so it’s all combined or does it need to be kept separate because I’m dealing with different time series? I can’t seem to find any way to tally together the accumulated precip data once the time series changes from hourly to 3 hourly (and again for models that have 3 time series such as UKMO)

 

Cheers, Mike

 

 

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-- 

Jeff Duda, Research Scientist

University of Colorado Boulder

Cooperative Institute for Research in Environmental Sciences

NOAA/OAR/ESRL/Global Systems Laboratory
Boulder, CO

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