[THREDDS #EBO-191519]: Doppler radar data request...

Hello again,

I may have a source for the data you're looking for...

We maintain an AWS S3 Bucket for a NEXRAD Level 3 archive, which goes back to 
2020 sometime.  You can view the bucket details here: 
https://registry.opendata.aws/noaa-nexrad/

The catch is the Browse Bucket link currently doesn't work, so it's not 
intuitively easy to browse the bucket from your browser (define irony).  
However, with a bit of Python code we've been able to verify that there is data 
here which is NOT available from NCEI, including the DTA product from LTX 
during times you're looking for.  I'll paste some sample code below, and let us 
know if you need further assistance working with the S3 Bucket.  

I will add that fixing that Browse Bucket link is on my to-do list, though I do 
not have an ETA on that as I'm at AMS all next week.

Here is the Python code example:

#- START -#

from functools import cached_property
from pathlib import Path
import shutil

import boto3
import botocore
from botocore.client import Config

s3 = boto3.resource('s3', config=Config(signature_version=botocore.UNSIGNED, 
user_agent_extra='Resource'))


class Product:
    def __init__(self, obj):
        self.name = obj.key
        self._obj = obj

    @cached_property
    def file(self):
        return self._obj.get()['Body']

    def download(self, path=None):
        if path is None:
            path = Path() / self.name
        elif (path := Path(path)).is_dir():
            path = path / self.name
        else:
            path = Path(path)
        
        with open(path, 'wb') as outfile:
            shutil.copyfileobj(self.file, outfile)


def day_iterator(start, end):
    while start < end:
        yield start
        start = start + timedelta(days=1)


def build_prefix(site, prod_id, dt):
    return f'{site}_{prod_id}_{dt:%Y_%m_%d}_'


def dt_from_key(key):
    return datetime.strptime(key.split('_', maxsplit=2)[-1], 
'%Y_%m_%d_%H_%M_%S')


def get_range(site, prod_id, start, end):
    bucket = s3.Bucket('unidata-nexrad-level3')
    for dt in day_iterator(start, end):
        for obj in bucket.objects.filter(Prefix=build_prefix(site, prod_id, 
dt)):
            if start <= dt_from_key(obj.key) < end:
                yield Product(obj)

from datetime import datetime, timedelta
start = datetime(2022, 9, 29, 10)
end = datetime(2022, 9, 29, 15)

for prod in get_range('LTX', 'DTA', start, end):
    print(prod.name)

#- END -#

I hope this helps you find what you're looking for, and again let us know if 
you need any other assistance.

Best,
-Mike



> Yes, I see the same issue with the Google data which can also be accessed 
> directly through the NOAA Weather & Climate Toolkit.  The gaps the NCEI shows 
> are present nationwide, so I believe it's logistical and hope the majority of 
> the seemingly missing data can be recovered by NCEI, which they are looking 
> into.
> 
> Thank you Mike for taking the time to look into other options!  Greatly 
> appreciated!

Ticket Details
===================
Ticket ID: EBO-191519
Department: Support THREDDS
Priority: High
Status: Closed
===================
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