Some simple data retrieval examples.
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License: MIT License
Some simple data retrieval examples.
@danhamill the asyncio scripts are great! So much speed!
I hit an exception running the asyncio script for RTMA Temperature. I ran for the dates 2016-10-01 00:00 to 2016-10-15 00:00. It's very likely there could be a missing grid in there causing the crash. Can you try reproducing, and see if there is a workaround that doesn't bring the script down? For reference, we added some missing URL logic in https://github.com/HydrologicEngineeringCenter/data-retrieval-scripts/blob/master/retrieve_qpe_gagecorr_01h.py
File "C:/Projects/data-retrieval-scripts/RTMA_Temp_async_download.py", line 63, in <module>
results = loop.run_until_complete(main())
File "C:\Projects\data-retrieval-scripts\venv\lib\site-packages\nest_asyncio.py", line 95, in run_until_complete
return f.result()
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\futures.py", line 178, in result
raise self._exception
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\tasks.py", line 282, in __step
result = coro.throw(exc)
File "C:/Projects/data-retrieval-scripts/RTMA_Temp_async_download.py", line 57, in main
return await asyncio.gather(*tasks)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\tasks.py", line 349, in __wakeup
future.result()
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\tasks.py", line 282, in __step
result = coro.throw(exc)
File "C:/Projects/data-retrieval-scripts/RTMA_Temp_async_download.py", line 26, in download_coroutine
chunk = await response.content.read(1024)
File "C:\Projects\data-retrieval-scripts\venv\lib\site-packages\aiohttp\streams.py", line 368, in read
await self._wait('read')
File "C:\Projects\data-retrieval-scripts\venv\lib\site-packages\aiohttp\streams.py", line 296, in _wait
await waiter
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\futures.py", line 260, in __await__
yield self # This tells Task to wait for completion.
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\tasks.py", line 349, in __wakeup
future.result()
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.1729.0_x64__qbz5n2kfra8p0\lib\asyncio\futures.py", line 178, in result
raise self._exception
aiohttp.client_exceptions.ClientPayloadError: Response payload is not completed
@tombrauer @mikebartles @ejgumbel @joshuarwillis @FHanbali
I have been looking for recent MRMS data and found the GaugeCorr_QPE
grids seem are no longer served on the Iowa State Mesonet servers after 15 Oct 2020.
When MRMS v 12.0 was released on 15 Oct 2020, they started to provide a new data product MultiSensor_QPE_24H_Pass2
grids.
https://inside.nssl.noaa.gov/mrms/past-code-updates/
In the MRMS v12.0 update to NCO section, the third bullet from the bottom:
- Multi-sensor QPE scheme using gauges and model QPFs to fill radar coverage gaps
I think that suggests the MultiSensor_QPE is gage corrected. So the data might have just changed names in the MRMS migration to 12.0.
I am looking for another set of eyes to confirm my assumption the GageCorr_QPE
grids have just been renamed to MultiSensor_QPE
. I am working a study where we have calibration events pre/post MRMS v 12.0, but I am a bit uneasy mixing the QPE grids.
Have any of you come across this before?
Thanks!
Are you guys interested in posting download scripts that use asyncio?
from datetime import datetime
from datetime import timedelta
import os
import nest_asyncio
nest_asyncio.apply()
import asyncio
import uuid
import aiohttp
import async_timeout
async def download_coroutine(url, session):
with async_timeout.timeout(1200):
async with session.get(url) as response:
if response.status == 200:
fp = r"C:\workspace\ririe\HMS\data\precip" + os.sep + os.path.basename(url)
with open(fp, 'wb') as f_handle:
while True:
chunk = await response.content.read(1024)
if not chunk:
break
f_handle.write(chunk)
else:
print(url)
return await response.release()
async def main(loop):
start = datetime(2015, 1, 22, 0, 0)
end = datetime(2020, 8, 1, 0, 0)
hour = timedelta(hours=1)
date = start
urls = []
opath = []
while date < end:
url = "http://mtarchive.geol.iastate.edu/{:04d}/{:02d}/{:02d}/mrms/ncep/GaugeCorr_QPE_01H/GaugeCorr_QPE_01H_00.00_{:04d}{:02d}{:02d}-{:02d}0000.grib2.gz".format(
date.year, date.month, date.day, date.year, date.month, date.day, date.hour)
#print(url)
destination = r"C:\workspace\ririe\HMS\data\temp"
filename = url.split("/")[-1]
if not os.path.isfile(destination + os.sep + filename):
urls.append(url)
opath.append(destination + os.sep + filename)
date += hour
async with aiohttp.ClientSession() as session:
tasks = [download_coroutine(url, session) for url in urls]
return await asyncio.gather(*tasks)
if __name__ == '__main__':
loop = asyncio.get_event_loop()
results = loop.run_until_complete(main(loop))
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