Model fields with additional output of convective fields for snow and rain

Title Model fields with additional output of convective fields for snow and rain
Description A 49R1 forecast experiment has been run to generate model fields which can be used to run an offline forward operator for polarimetric radio occultation observations. The fields include convective snow and rain, which are not a standard output for operations. The dates fit to Atmospheric River and Tropical Cyclone cases used for testing the forward operator generating simulated PRO fields (dPhi) and comparing them to observed ones.
DOI -
Experiment ID irfl
Experiment class ECMWF Research Department
Examples

Retrieve all necessary variables from experiment matching TC MEKUNU

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2018-05-23",
    "expver": "irfl",
    "levtype": "ml",
    "param": "75/76/129/130/131/132/133/135/138/152/155/203/246/247/248/162100/162101/162102/162103",
    "step": "0/3/6/9/12/15/18/24/30/36/66/90/114",
    "stream": "oper",
    "target": "outputTC.grib",
    "time": "00:00:00/06:00:00/12:00:00/18:00:00",
    "type": "fc"
})

Retrieve all necessary variables from experiment matching an atmospheric river event

#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2021-01-14",
    "expver": "irfl",
    "levtype": "ml",
    "param": "75/76/129/130/131/132/133/135/138/152/155/203/246/247/248/162100/162101/162102/162103",
    "step": "0/3/6/9/12/15/18/24/30/36/66/90/114",
    "stream": "oper",
    "target": "outputAR.grib",
    "time": "00:00:00/06:00:00/12:00:00/18:00:00",
    "type": "fc"
})