Open ilianagenkova opened 1 year ago
The web link for the MRMS, radarl2, and staingest packages:
A couple of important information about the radarl2 package and processing:
The source of the radar data: ${DCOMROOT}/ldmdata/obs/upperair/nexrad_level2
The format of the raw incoming radar data: binary format raw data with bz2 compressed
The tank used to run Obsproc: radar_level2.$radar_level2_ver is for dumping data to tank b006
User of this data: NAM, RAP, HRRR, GDAS, and verification package
MRMS/radarl2 variables information:
There is MRMS data available on WCOSS2 in the following directory: /lfs/h1/ops/prod/dcom/ldmdata/obs/upperair/mrms, in grib2 format.
A few netCDF files (pe0076.conv_uv_03.nc4 and Gridded_ref.nc) were used from the following directory, /lfs/h2/emc/stmp/Shun.Liu/stmp/tmpnwprd/rrfs_a/2022101800, to get information about the variables:
@PraveenKumar-NOAA, ls -l /lfs/h1/ops/prod/dcom/ldmdata/obs/upperair/mrms/conus total 20412 drwxr-sr-x 2 dfprod prod 749568 Oct 19 03:56 EchoTop drwxr-sr-x 2 dfprod prod 446464 Oct 19 03:56 LowLevelCompositeReflectivity drwxr-sr-x 2 dfprod prod 13905920 Oct 19 03:56 MergedReflectivityQC drwxr-sr-x 2 dfprod prod 471040 Oct 19 03:55 MergedReflectivityQCComposite drwxr-sr-x 2 dfprod prod 495616 Oct 19 03:57 MergedReflectivityQComposite drwxr-sr-x 2 dfprod prod 487424 Oct 19 03:55 MESH drwxr-sr-x 2 dfprod prod 253952 Oct 19 03:17 MultiSensorQPE drwxr-sr-x 2 dfprod prod 331776 Oct 19 03:55 POSH drwxr-sr-x 2 dfprod prod 376832 Oct 19 03:55 PrecipFlag drwxr-sr-x 2 dfprod prod 380928 Oct 19 03:56 PrecipRate drwxr-sr-x 2 dfprod prod 413696 Oct 19 03:56 RadarOnly_QPE drwxr-sr-x 2 dfprod prod 409600 Oct 19 03:55 RadarQualityIndex drwxr-sr-x 2 dfprod prod 1060864 Oct 19 03:55 RotationTrack drwxr-sr-x 2 dfprod prod 364544 Oct 19 03:57 SeamlessHSR drwxr-sr-x 2 dfprod prod 344064 Oct 19 03:55 SHI drwxr-sr-x 2 dfprod prod 327680 Oct 19 03:55 VIL
These are the variables available from MRMS. If you list each dir, you'll see these files come every few minutes, like Shun told us.
MRMS data directory structures on WCOSS2:
There are five mrms sub-directories named as:
List of variables from mrms/conus grib2 files:
conus sub-directory is used to get the variable information.
There are a total of EIGHTEEN variables, including LAT and LON, which are shown below in the following format, (Name, Long Name, Type) using Panoply's output.
@PraveenKumar-NOAA , it is not clear to me what the "pe0076.conv_uv_03.nc4 and Gridded_ref.nc" files are, i.e. how were they generated - are they output from Shun's code? are they the netcdf version of the grib2-format files on wcoss2 ?
I am pretty sure that pe0076.conv_uv_03.nc4
is output from GSI. Likewise, Gridded_ref.nc
is output from a pre-processing step for GSI that interpolates (and optionally thins) the MRMS gridded radar reflectivity to the model grid, in preparation for assimilation.
@ilianagenkova these files are output from Shun's code taken from the following directory: /lfs/h2/emc/stmp/Shun.Liu/stmp/tmpnwprd/rrfs_a/2022101800), and I don't know how he generated these. But these files are not a direct product of the MRMS data.
@JacobCarley-NOAA thank you for the clarification.
But we don't care about Shun's code, do we? I thought he generates nexrad dumps with lower res data, and they have only a couple of variables. The reason we have the MRMS ingest task is to give the users high-res radar data and more parameters (atmos state variables). So again, we need to know what's in the:
$DCOMROOT/ldmdata/obs/upperair/mrms/conus/* files. Go through the list of files, for example -
$DCOMROOT/ldmdata/obs/upperair/mrms/conus/MergedReflectivityQCComposite/MergedReflectivityQCComposite_00.50_20221122-165238.grib2.gz and pull the variables from the grib2 files. Some variables we will simply ingest, while others might need to be computed, is my understanding.
On Tue, Nov 22, 2022 at 10:15 AM PraveenKumar-NOAA @.***> wrote:
@ilianagenkova https://github.com/ilianagenkova these files are output from Shun's code taken from the following directory: /lfs/h2/emc/stmp/Shun.Liu/stmp/tmpnwprd/rrfs_a/2022101800), and I don't know how he generated these. But these files are not a direct product of the MRMS data.
@JacobCarley-NOAA https://github.com/JacobCarley-NOAA thank you for the clarification.
— Reply to this email directly, view it on GitHub https://github.com/NOAA-EMC/satingest/issues/19#issuecomment-1323920656, or unsubscribe https://github.com/notifications/unsubscribe-auth/AOC4YXTDN5OI5PO73RGHTULWJTWTNANCNFSM6AAAAAAQ5AZ4FQ . You are receiving this because you were mentioned.Message ID: @.***>
@ilianagenkova We might be conflating a couple different things. pe0076.conv_uv_03.nc4
is diagnostic output from the GSI. Probably not of interest. And Gridded_ref.nc
uses MRMS input directly. It is not related to any of the nexrad level2 radial wind dumps and is likely out of scope for this project.
@ilianagenkova @JacobCarley-NOAA I extracted variables information from the MRMS data, which are listed in the following document, https://docs.google.com/document/d/1Uud8JMDnMLgk_kkMPZCJm1HaAchYurjDl1W38YBk8Bg/edit?pli=1. There are four main variables, latitude, longitude, time, and altitude_above_msl, and I think the rest are the computed ones.
@ilianagenkova I listed variables information from Shun's code, i.e. radarl2 package at the very beginning., at that time I was not sure how to proceed. No, we don't care about Shun's code as far as my understanding.
Next steps:
Once Radial Wind data is available, the next step will be:
Requested sample radial wind data from MRMS folks.
This issue is on hold until the radial wind data is provided on WCOSS2 by the Dataflow team or radial wind data samples are provided by the MRMS folks.
@JacobCarley-NOAA @ilianagenkova most of the data required by RTMA users is already available on WCOSS2. If no further action is needed, this issue can be closed. Thank you.
@PraveenKumar-NOAA I missed the tag in GitHub - apologies.
The reflectivity files are available - but are the winds also available?
@JacobCarley-NOAA no, a Dataflow ticket is opened for the wind. A request is also made for the sample wind data.
Thanks Praveen - makes sense.
Was the request for the sample wind data made directly to the MRMS group? Am wondering if we ought to follow up if it's been a little while.
Yes, it has been made directly to the MRMS group. I will send a reminder again.
@JacobCarley-NOAA , I had advised @PraveenKumar-NOAA to make inquiries every two weeks at first, then we cut them down to monthly...I believe Anthony is very aware of our interest in the radial wind by now :)
@ilianagenkova Ha! Hopefully he hasn't set up a spam filter for us :-)
@ilianagenkova finally with the help of Jacob and Jian, I got the sample radial wind data, which is located into the following folder, EMC_radial_velocity.
The sample radial velocity (Vr) data (both "raw" and dealiased) is from KCXX radar. The data are in radar coordinates and in NetCDF format. There are also example images of the raw ("Aliased Velocity") and dealiased ("Velocity") fields in this folder for the reference.
Additional information about the data: 1) the MRMS dealiased velocity does not include any QC or masking of non-hydrometeor echoes (including clear air, birds and insects). It's just a dealiased version of the raw Vr field. 2) the NEXRAD level-3 product suite also provides dealiased velocities (no QC or masking) up to 3.4 deg elevation angle. The level-3 dealiasing scheme is slightly newer than the MRMS version and obtaining the level-3 data in real-time may be faster than getting the MRMS single radar Vr fields. The drawback with the level-3 is the lack of the higher tilts. 3) NSSL is developing a so-called "point cloud" data set that combines 3D Vr fields from all the radars (e.g., in CONUS). This may take a while to implement in the operations.
This issue is on hold until we get further input from the MRMS folks.
MRMS radar data was requested by RTMA model team. Work plan A) Gather info on data (provider, format, contents) B) Gather info on user/RTMA team needs (variables, formatting, frequency, etc) C) Leverage off radarl2 package - how is data pre-processed, what can we learn from it D) Leverage off existing satingest routines to write MRMS ingests code and generate tanks E) Expand obsproc to dump MRMS data tanks
@PraveenKumar-NOAA, If you copy/paste the info we gathered already (from emails), you will have one-stop document to refer to.