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Since you are using the GES DISC Subsetting Service, make sure to add "--content-disposition" to the URL. Try again using this command: wget --load-cookies C:\.urs_cookies --save-cookies C:\.urs_cookies --keep-session-cookies --user=--ask-password --content-disposition -i url.txt These ste...

Hello, The .urs_cookies error indicates that you do not have permissions to write the .urs_cookies file to the root directory on your machine (C:\). This is not needed to download the files, but allows authentication to be cached. The .dodsrc file is set up correctly, but is only required for downlo...

Hello, If you are still experiencing this error with Python after the Earthdata Login errors on the 12th, another possible cause is due to a problematic version of the libnetcdf Python library in your environment. This includes versions 4.9.1 and 4.9.2, which have documented compatibility issues wit...

Hello, our apologies for the delayed response. You can download as many granules as you'd like, but when downloading from on-premises servers, granules can only be downloaded serially (one at a time) instead of parallel (multiple at a time). Your code will download the granules from the cloud since ...

Hello,

For your time parameters, please use the following:

begTime = '1997-08-02T23:30:00Z'
endTime = '1997-08-02T23:30:00Z'
begHour = '23:30'
endHour = '23:30'

Originally, the endTime was shorter than the endHour, causing the error.

Chris

Hello,

We are looking into this error. I am also receiving the same 404 error when doing the previous subset example. Fortunately, it does work when using the subsetter tool on the website, if you wish to use that method for now.

Chris

Great, I'm glad to hear! Yes, you will need to convert to UTC by adding 7, in your use case. You can also use the Python "pytz" and "datetime" libraries, which will automatically perform this conversion. Here's an example, for getting the UTC hour of 12:30PM local time on 1996-01...

Hello, In order to subset on an hourly basis, there are a few parameters that need to be included in the subset request, as well as insuring that certain parameters like start and end times are formatted correctly. In addition to the 'start' and 'end' parameters, the 'diurnalFrom' and 'diurnalTo' pa...

Hello, Your approach is feasible, and since you would be accessing the data from cloud servers (the default source for earthaccess), the risk of overloading our services is minimal. However, we do impose rate limiting on unusually high requests, so we do recommend splitting large requests into sever...

Hello, I'm Chris Battisto from the GES DISC User Needs team-may I offer a few suggestions regarding your code approach: First, your data download section is fine, but can be shortened and made more efficient through the use of the "earthaccess" Python library. This adaptation of your exist...