[gradsusr] A question about reanalysis outputs and remote sensing data sets

[Dr AP DIMRI]

i suggest to employed statistical downscaling for better estimate particularly if you want to estimate over the heterogeneos topographic region. remember model always has biases- so you estimation may be +/-. And surely it depends for what purpose you want that.

 
Sincerely
Dimri
______________________________
Dimri, A. P.
School of Environmental Sciences
Jawaharlal Nehru University
New Delhi, India
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Date: Mon, 19 Mar 2012 22:26:34 -0300
From: hersala at gmail.com
To: gradsusr at gradsusr.org
Subject: [gradsusr] A question about reanalysis outputs and remote sensing	data sets

Dear GrADS users:

I know that this forum is only dedicated to 
GrADS questions but, at the same time it is a forum where there are 
model developers and so on. So, please let me ask just a question:

If
 one would like to estimate near-surface temperatures where no data from
 weather stations exist, what do you think it would be better: trying to
 estimate it from a single (or justa a few) remote sensing dataset or simply using outputs from 
reanalysis models. I'm wondering this, because it is known that 
reanalysis data already includes remote sensed data (and another sources of information). And if this is the 
case, IMHO, it should be better to directly use reanalysis outputs.

Thanks in advance.

Hernán



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