Hi all,
Am recently re-discovering GRASS after a 4 yr period. I have a large dataset- atmospheric data from Climate Research Unit (CRU) in UK.
I am reformatting the same in the following manner to then bring into GRASS:
16000+ columns as follows
lat long z’s
where the z’s are 1200 columns (containing100 yrs of monthly data of the z variable)
I am wondering which GRASS command/s i can use, that would enable me to extract any columns i want as a vector point, which i would then convert to a raster to run a raster-based model. End goal is to do an energy balance.
So far i thought i could use v.in.ascii; or v.in.db
Any feedback much appreciated!
thanks
-vishal
PhD candidate(Cornell Univ)
& Res. Assoc. (ATREE, Bangalore)
www.people.cornell.edu/pages/vkm2
Hi,
I don't know if it helps but recentlly I wrote a small python program
to convert the CRU05 dataset into NetCDF files. You can convert the
entire CRU05 dataset or a portion of it (defining lat, lon and years).
Since the gdal website states that it can be used to import NetCDF
files, maybe this program could help.
If interested, just drop an e-mail
Cheers
Daniel
On 2/20/06, Vishal Mehta <vishalm1975@gmail.com> wrote:
Hi all,
Am recently re-discovering GRASS after a 4 yr period. I have a large
dataset- atmospheric data from Climate Research Unit (CRU) in UK.
I am reformatting the same in the following manner to then bring into GRASS:
16000+ columns as follows
lat long z's
where the z's are 1200 columns (containing100 yrs of monthly data of the z
variable)
I am wondering which GRASS command/s i can use, that would enable me to
extract any columns i want as a vector point, which i would then convert to
a raster to run a raster-based model. End goal is to do an energy balance.
So far i thought i could use v.in.ascii; or v.in.db
Any feedback much appreciated!
thanks
-vishal
PhD candidate(Cornell Univ)
& Res. Assoc. (ATREE, Bangalore)
www.people.cornell.edu/pages/vkm2