Long Queue for ERA5 download #766
Replies: 10 comments 2 replies
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Yes, this is frustrating indeed. We have come so far that the bottleneck for InSAR processing is ERA5 download. I wonder how the ASF/Hyp3 folks deal with this. @jhkennedy , do you guys have a copy of ERA5 at at the ASF? If so it would be a great service to make it available to the MintPy community. Or does JPL has a copy that could be shared? I suggested this a while ago to WinSAR but they did not have staff at the time to investigate this. We could try again. |
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Agree! The last time when I tried this, in 9 hours, I only got 38 out of 158 grb files. |
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@falkamelung my team doesn't currently have a copy of ERA5 and generally run into the same issues downloading grb files, though maybe @Alex-Lewandowski has some thoughts? I think ASF may be interested in hosting a copy of the dataset, but getting a full copy from CDS/ECMWF and keeping it up to date looks like a pretty big lift. Is there any alternative sources that'd work? I know GEE has the daily aggregates here but they don't have the hourly data. Not sure if the MS Planetary Computer has it... |
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I would recommend reporting to ECMWF directly so that they are aware of the issue and could possibly fix it. There is a user forum at: https://confluence.ecmwf.int/display/CUSF/C3S+Climate+Data+Store+API+User+Forum The part of pyaps code to download ERA5 using CDSAPI is here for reference: |
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Thanks for the recommendation @yunjunz and sharing the relevant pyaps code. In my case, I'm planning on running MintPy on AWS. So my workaround for now is to run the pyaps code separately on my personal computer otherwise the AWS instance would just sit there using money. |
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Joe, to answer your earlier question we do not have a good work around for
quicker access to ERA5. We have plans to update the OpenSARlab MintPy
notebook to optionally skip the tropospheric correction step, but that
hasn't happened yet.
Alex
…On Sun, May 8, 2022 at 5:45 AM Yuan-Kai Liu ***@***.***> wrote:
You are right. They are the same. Sorry.
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Just wondering, is the reason that PyAPS uses ERA5 because it's the best/highest resolution model? Or is it because the original version of the code chose that model? I haven't done extensive testing between the possible weather models to correct, but when I was playing around with https://github.com/dbekaert/RAiDER , the GMAO model was much quicker to download than ERA5. I think it took 30-60 minutes to get 150 dates over a big area. |
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The chosen models are inherited from Jolivet et al. (2011; 2014) papers, which was ERA-Interim (and NARR and MERRA), then shifted to ERA5. Here (https://hal.archives-ouvertes.fr/hal-02414275/) is the latest publication that I am aware of from Romain's group on this topic. As for |
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Just following up on this with some updates:
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Thanks for the update @jhkennedy. Both Based on a quick look at I won't have time to integrate |
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Hi, I'm just wondering if there is another way to download the required ERA5 files for
correct_troposphere
step? Sometimes the queue using pyaps is very slow and I have many grib files to download.Beta Was this translation helpful? Give feedback.
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