[ncl-talk] Grainy image

[Tim Risner]

Ultimate fix was to add more colors and changing cnlevels to more of a
smaller distance between color changes.
for temps, each color now cooresponds to 5 degrees instead of 10 and I'm
using 128 colors on the table versus the ~22 of before.
This provides a smoother transition from color to color.


*Tim Risner*
*Operational Meteorologist*
*(888) 798-9955 ext 1006*

<http://www.awis.com>[image: https://www.facebook.com/AWISWeatherServices/]
<https://www.facebook.com/AWISWeatherServices/>
<https://twitter.com/awisweather>


On Fri, Jan 11, 2019 at 9:38 AM Tim Risner <trisner at awis.com> wrote:

> Puzzles for good reason Mary.
> The data set was changed over night on the back end without me knowing, so
> I was plotting slightly different data, so I guess that agrees with the
> issue being in the data set.
> My apologies for the confusion.
>
> *Tim Risner*
> *Operational Meteorologist*
> *(888) 798-9955 ext 1006*
>
> <http://www.awis.com>[image:
> https://www.facebook.com/AWISWeatherServices/]
> <https://www.facebook.com/AWISWeatherServices/>
> <https://twitter.com/awisweather>
>
>
> On Fri, Jan 11, 2019 at 9:02 AM Mary Haley <haley at ucar.edu> wrote:
>
>> Hi Tim,
>>
>> I'm a little puzzled as to how changing the resolution of the map
>> outlines would affect the smoothness of the contours. Out of curiosity,
>> could you send the new image? You can send it to me directly if you want.
>>
>> Thanks,
>>
>> --Mary
>>
>>
>> On Fri, Jan 11, 2019 at 6:37 AM Tim Risner <trisner at awis.com> wrote:
>>
>>> Easiest solution beyond manipulating data is setting the
>>> mpDataResolution to "FinestResolution"
>>> This gets rid of most of the graininess, as well as smooths the
>>> RasterFill a little more.
>>>
>>> *Tim Risner*
>>> *Operational Meteorologist*
>>> *(888) 798-9955 ext 1006*
>>>
>>> <http://www.awis.com>[image:
>>> https://www.facebook.com/AWISWeatherServices/]
>>> <https://www.facebook.com/AWISWeatherServices/>
>>> <https://twitter.com/awisweather>
>>>
>>>
>>> On Thu, Jan 10, 2019 at 1:01 PM Tim Risner <trisner at awis.com> wrote:
>>>
>>>> Thanks Mary and Rick. I'll work with the examples you mentioned and see
>>>> what I can do to correct it.
>>>>
>>>> Attached is a google maps image showing the data and placement, to
>>>> answer your questions.
>>>>
>>>>
>>>>
>>>> *Tim Risner*
>>>> *Operational Meteorologist*
>>>> *(888) 798-9955 ext 1006*
>>>>
>>>> <http://www.awis.com>[image:
>>>> https://www.facebook.com/AWISWeatherServices/]
>>>> <https://www.facebook.com/AWISWeatherServices/>
>>>> <https://twitter.com/awisweather>
>>>>
>>>>
>>>> On Thu, Jan 10, 2019 at 11:32 AM Mary Haley <haley at ucar.edu> wrote:
>>>>
>>>>> Hi Tim,
>>>>>
>>>>> I echo what Rick says about not being certain without seeing the data.
>>>>>
>>>>> Is your data a set of random points, or on a gridded structure, or
>>>>> something else? If it's on a gridded structure, then what happens if you
>>>>> don't set trGridType at all?
>>>>>
>>>>> I'm also interested to know the structure of your lat/lon data and how
>>>>> dense the values are. Does your data contain any missing values? I don't
>>>>> think this is the issue here, but it is important to be aware of this.
>>>>>
>>>>> One thing I like to do for problem plots like this is to zoom in on
>>>>> the area with the problem, and then plot dots where the lat/lon locations
>>>>> are just to see if there's anything going on with regard to the density of
>>>>> the locations and/or potential missing values.
>>>>>
>>>>> If you look at this page:
>>>>>
>>>>> http://www.ncl.ucar.edu/Applications/datagrid.shtml
>>>>>
>>>>> you will see some examples of using gsn_coordinates to plot the
>>>>> lat/lon locations of your data, and also use different colors for where the
>>>>> data is missing or not.
>>>>>
>>>>> In particular, datagrid_6.ncl might be useful if you have curvilinear
>>>>> data.
>>>>>
>>>>> http://www.ncl.ucar.edu/Applications/datagrid.shtml#ex6
>>>>>
>>>>> If you have random data, then contour1d.ncl on the same same might be
>>>>> useful.
>>>>>
>>>>> --Mary
>>>>>
>>>>>
>>>>> On Thu, Jan 10, 2019 at 10:07 AM Rick Brownrigg <brownrig at ucar.edu>
>>>>> wrote:
>>>>>
>>>>>> Hi Tim,
>>>>>>
>>>>>> I don't know for certain without looking at the data, but I have to
>>>>>> imagine its manifest in the data itself, and that in those regions you
>>>>>> mentioned the probability is hovering right around 50%.  The color contrast
>>>>>> between 40% and 50% is rather abrupt, relative to the rest of the
>>>>>> successive colors, which I think draws attention to the fluctuations. There
>>>>>> also appears to be similar fluctuations going on in Montana and Minnesota,
>>>>>> but its harder to see because those colors "closer" to each other,
>>>>>> perceptually.
>>>>>>
>>>>>> FWIW...
>>>>>> Rick
>>>>>>
>>>>>>
>>>>>> On Thu, Jan 10, 2019 at 9:52 AM Tim Risner <trisner at awis.com> wrote:
>>>>>>
>>>>>>> I'm curious as to what may be causing a grainy section in Central
>>>>>>> Mississippi and SE Ohio of the attached image.
>>>>>>> I'm using "RasterFill" and cnRasterSmoothingOn is set to True.
>>>>>>> trGridType of all types causes it.
>>>>>>> Data is pretty uniform in those regions.
>>>>>>>
>>>>>>>
>>>>>>> *Tim Risner*
>>>>>>> *Operational Meteorologist*
>>>>>>> *(888) 798-9955 ext 1006*
>>>>>>>
>>>>>>> <http://www.awis.com>[image:
>>>>>>> https://www.facebook.com/AWISWeatherServices/]
>>>>>>> <https://www.facebook.com/AWISWeatherServices/>
>>>>>>> <https://twitter.com/awisweather>
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