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  2. downloading ERA5 netCDF daily data for a decade, how to restrict...

    earthscience.stackexchange.com/questions/17861/downloading-era5-netcdf-daily...

    This is highly preferred when you have to download a large number of variables and years. ERA5 netCDF are offered in two different formats: either at hourly time steps, or at monthly averages (see this). If you need a sub-monthly time steps the global files for many variables for long time periods are extremely heavy in terms of disk space.

  3. satellites - Where can I download Landsat 7 data as GeoTiff -...

    earthscience.stackexchange.com/questions/16065/where-can-i-download-landsat-7...

    Where can I download Landsat 7 data as GeoTiff. I want to test a program for image classification that uses GeoTiff data with a separate file for each band. So I'm looking for some sample satellite data, preferably of Landsat 7, that doesn't need any further correction or pre-processing (I'm not familiar with these things and just want to do a ...

  4. Where can I get archived hourly temperature data?

    earthscience.stackexchange.com/questions/1092

    I am looking for historical hourly temperature data from many cities in the US what other data sources are there except wunderground? UPDATE: I will use the data to compare stations from the same city and need data with high temporal & spatial resolution; currently, one year of data is enough.

  5. How to interpolate scattered data to a regular grid in Python?

    earthscience.stackexchange.com/questions/12057/how-to-interpolate-scattered...

    Add delimited text layer and try raster interpolation. Download a free coastline vector and clip your raster with the coastline. A few searches at GIS SE can help you out if you get stuck. With a GIS option, it is easy to also plot e.g. cities or extract the interpolated temperature for a location.

  6. oceanography - What tools allow a quick comparison of NetCDF...

    earthscience.stackexchange.com/questions/170

    Using Matlab, you can do ncgeodataset (http://code.google.com/p/nctoolbox/wiki/ncgeodataset) to subsample the netcdf without having to download large datasets. For instance,

  7. Wind direction data - Earth Science Stack Exchange

    earthscience.stackexchange.com/questions/9709

    You can download the data from the CRU-NCEP database https://crudata.uea.ac.uk/cru/data/hrg/ CRU stand for Climate Research Unit and it has the most accurate historical data available to the public. They are reanalyzed data from meteorological stations and ships.

  8. meteorology - Is there a database of global rainfall time series...

    earthscience.stackexchange.com/questions/4239

    CMORPH can be downloaded from Download URL. If you are only downloading via OPeNDAP you can get it from the RDA RDA CMORPH1 and RDA CMORPH2

  9. climate models - Geotiff for Elevation Data or NetCDF - Earth...

    earthscience.stackexchange.com/questions/23942/geotiff-for-elevation-data-or...

    I need elevation data with lat and long for a project worldwide. By intuition I would say that a GeoTiff would be suitable, e.g. the one from https://asterweb.jpl.nasa.gov/gdem.asp. Are there better ones, or does this one not contain any elevation data? Does anyone know where there are open source Geotiffs that are good?

  10. Is there a recent global gridded temperature dataset with 0.1 deg...

    earthscience.stackexchange.com/questions/19050/is-there-a-recent-global-g...

    You could download one of those and process these temperature data using a simple resampling procedure bringing it at the resolution you are interested in by using CDO or another similar software. The procedure could be based on a bilinear interpolation of the original data with a finer grid.

  11. climate - Deciphering NCDC data - Earth Science Stack Exchange

    earthscience.stackexchange.com/questions/4656

    In old computers memory capacity & calculating speed was an issue. In binary digits, integers are half the size of floating point numbers & a quarter the size of double precision numbers. Hence the use of integers speeds up calculations & requires less memory (disk drives, tape & RAM) than floating point numbers.