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PolyGeo ♦
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Export Exporting ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max Temp, Min Temp and Average Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in JavaScript but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY').select()

But in Python it just doesn't export anything to drive when I use it.

Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that.

I know there is likely a much better way to extract such large time series to reduce file size. So any help regarding the code adapted from geetools or a better approach for my problem is appreciated.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)

Export ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max Temp, Min Temp and Average Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in JavaScript but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY').select()

But in Python it just doesn't export anything to drive when I use it.

Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that.

I know there is likely a much better way to extract such large time series to reduce file size. So any help regarding the code adapted from geetools or a better approach for my problem is appreciated.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)

Exporting ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max Temp, Min Temp and Average Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in JavaScript but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY').select()

But in Python it just doesn't export anything to drive when I use it.

Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that.

I know there is likely a much better way to extract such large time series to reduce file size.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)
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How to export Export ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max TempMax Temp, Min TempMin Temp and Average TempAverage Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in Java ScriptJavaScript but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY')
 .select()

butBut in pythonPython it just doesn't export anything to drive when I use it. Secondly

Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixelsmaxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that. I

I know there is likely a much better way to extract such large time series to reduce file size. So any help regarding the code adapted from geetools or a better approach for my problem is appreciated.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)

How to export ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max Temp, Min Temp and Average Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in Java Script but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY')
 .select()

but in python it just doesn't export anything to drive when I use it. Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that. I know there is likely a much better way to extract such large time series to reduce file size. So any help regarding the code adapted from geetools or a better approach for my problem is appreciated.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)

Export ERA5 Image Collection data from Google Earth Engine

I'm trying to export the ERA5daily Image Collection data from Google Earth Engine using the GEE API in python. I need the Max Temp, Min Temp and Average Temp for the time between 1979 and 2016 (in the example here just 1 day for convenience), within a specific bbox.

Basically I need the temperature time series (max, min, avg) for each grid within my geometry object, because I want to calculate different indices of temperature variability and extremes afterwards.

Unfortunately I haven't had much success so far. I managed to export single .tif images with the GEE Code Editor in JavaScript but it seems quite unreliable and I would have to press 'Run' thousands of times. I've read that for batch exports the Python API is recommended.

Below is the code I have tried so far, adopted from GEE Tools

This code works for exporting the images in .tif, however I'm running into several problems. First I don't manage to select the bands. In the GEE code editor this works with

var col = ee.ImageCollection('ECMWF/ERA5/DAILY').select()

But in Python it just doesn't export anything to drive when I use it.

Secondly I can't figure out what the scale parameter does. The default setting is 30, which leads to massive files (and the need to increase maxPixels). When I set it to a higher value however the data stored in the .tif changes. So not really sure what to do about that.

I know there is likely a much better way to extract such large time series to reduce file size. So any help regarding the code adapted from geetools or a better approach for my problem is appreciated.

from geetools import batch
import ee
ee.Initialize()

region = ee.Geometry.Rectangle([79, 25, 89, 31])

col = ee.ImageCollection("ECMWF/ERA5/DAILY")\
    .filterDate('1979-01-02', '1979-01-03')\
    .filterBounds(region)

batch.Export.imagecollection.toDrive(col, "ERA5", region=region)
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