[NARCCAP-discuss] narccap-discuss Digest, Vol 27, Issue 1

[Philippe Roy]

Hi Jianhua,

you could linearly interpolate the temparature down to 1 hour by using 
the daily cycle from some observations database of the temperature as a 
covariate. This would give you different slopes between each 3 hours 
intervals. This might give you a better interpolation (incorporating the 
physical local effects on temperature) than a simple linear 
interpolation. Might worth a shot.

However, I'm not sure how much grid-point your looking at and if there 
enough observations stations in your study area.

Philippe Roy

Le 2013-10-21 16:25, Jianhua Huang a écrit :
> Thanks Yaoping:
>
> I just checked the package, it looks useful to downscale rainfall.
> Unfortunately, I need downscaling temperature primarily.
> Anyway, thank for the information.
>
> Jianhua
>
> -----Original Message-----
> From: narccap-discuss-bounces at mailman.ucar.edu
> [mailto:narccap-discuss-bounces at mailman.ucar.edu] On Behalf Of Wang, Yaoping
> Sent: Monday, October 21, 2013 11:50 AM
> To: narccap-discuss at mailman.ucar.edu
> Subject: Re: [NARCCAP-discuss] narccap-discuss Digest, Vol 27, Issue 1
>
> Hi Jiahua,
> Perhaps this can be useful to you? I know the Hyetos-R package can
> stochastically disaggregate rainfall to fine scales.
> Yaoping Wang
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>     1. Downscale 3-hourly outputs to hourly (Jianhua Huang)
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 20 Oct 2013 12:10:01 -0700
> From: "Jianhua Huang" <jh.eco.cas at gmail.com>
> Subject: [NARCCAP-discuss] Downscale 3-hourly outputs to hourly
> To: <narccap-discuss at mailman.ucar.edu>
> Message-ID: <009701cecdc7$fb44a910$f1cdfb30$@gmail.com>
> Content-Type: text/plain;       charset="us-ascii"
>
> Hi all:
>
>
>
> I am using the CRCM-cgcm3 3-hourly outputs to drive an energy models.
> However, this model requires hourly weather data as input. I wonder is there
> any software or code can convert the 3-hourly outputs to hourly? Thanks for
> any suggestion.
>
>
>
> Jianhua
>
>
>
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