Re: Comparison between station data and WRF

[1]
There are a number of functions provided by wrfhelp (cc'd here)
that can be used to perform various tasks on WRF data:

    https://www.ncl.ucar.edu/Document/Functions/wrf.shtml

These wrfhelp functions do not have an explicit function
to interpolate gridded WRF model output to a user specified
lat/lon location. However, given the high resolution of WRF
models, using the nearest grid point to the station location
is, likely, more than adequate. Please see:

https://www.ncl.ucar.edu/Document/Functions/WRF_arw/wrf_user_ll_to_ij.shtml

---
[2]
An alternative approach would be to use ESMF regridding
    https://www.ncl.ucar.edu/Applications/ESMF.shtml
    See Example 28
[a] interpolate a WRF grid to a rectilinear grid
[b] use 'linint2_points' to interpolate to the station location.
---
[3]
"Calculate the evaluation parameter such as average, correlation 
coefficient"
?? just use standard NCL functions.
The most common action is to perform a difference calculation.plot
On 2/10/14, 2:55 AM, Ivanna wrote:
>
> Thanks !
> TSLIST file is quite useful,but I just only have the model output file (can be model other than WRF) and the station data.
>
> I would like to know
> 1. How to pair the model and observation data
> 2. Calculate the evaluation parameter such as average, correlation coefficient......
>
> In NCL
>
> Thank you
>
> ---- Tabish Ansari wrote ----
>
>> Just a piece of advice, instead of reading wrfout files using NCL , better make use of the TSLIST (Time-series list) feature of wrf. There you can name a station and its lat/lon and get many parameters written in a separate text file for it. You don't even need to read wrfout file.
>>
>> For details, please read the TSLIST readme file in the WRF/run directory.
>>
>>
>>
>> On 10 February 2014 01:02, Ivanna Mo <newivanna@gmail.com> wrote:
>>
>> Hi,
>>
>>
>>
>> I would like to ask if there are any functions in NCL that helps doing the model evaluation of WRF by comparing with the station data. I would like to match the model data with the observation data and store them into model-observation pairs and then calculate the correlation coefficient and average value of them.
>>
>>
>>
>> Thank you very much
>>
>>
>>
>>
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>>
>>
>> --
>>
>> Thanks & Regards
>> Tabish Umar Ansari
>>
>> MS Research Scholar
>> Environmental & Water Resources Engineering Division
>>
>> Department of Civil Engineering
>>
>> IIT Madras
>>
>>
>>
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