I have coordinates for several locations, and I'm trying to get the weather at those locations during the period of time "between 2005 and 2010," but we are unable to manually do it due to the bulk of the data. Is there an other method, such as using an API or other codes?
Sfia Baha There are a number of ways to extract these location datasets. It is basically dependable on your coding level and the resources(linux or windows, etc.) available to you. I would suggest you try using CDO. You may follw the link below to get help on a similar discussion:
https://code.mpimet.mpg.de/boards/2/topics/9499
Follow the guide below to compile it on linux using gnu compilers: This installation is dependent on hdf5, netcdf, szip. I am also building it with parallel compilers,i.e, mpif90 & mpicc.
Download it at the link below and compile.
https://code.mpimet.mpg.de/projects/cdo/files
tar zxvf cdo-2.0.5.tar.gz
cd cdo-2.0.5
./configure --prefix=${PATH FOR INSTALLATION} --enable-shared=no --with-hdf5=${dep_dir} \
--with-netcdf=${dep_dir} --with-szlib=${dep_dir} CC=mpicc FC=mpif90 2>&1 | tee configure.log
make -j 2 2>&1 | tee make.log
make install 2>&1 | tee make_install.log
You may also download the windows version from the same link if that is the platform you are using.
Yes, Ambee’s weather data APIs provide historical data for the past 30 years. Their APIs provide historical weather data very accurately for locations across the world. If you want an API-free product Gspatial.ai from Ambee can also help. They provide historical and global environmental data for practically the whole world. You can use this for any use case, whether small or big. They also provide data in bulk if you require it. You can check the website: https://www.getambee.com/.
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