Ensemble forecast with parametrised tendency archiving

Title Ensemble forecast with parametrised tendency archiving
Description This dataset is from an ensemble forecast initiated on 3 October 2023 at 0 UTC. Key details: IFS cycle 48r1,TCo1279 (9km), 137 levels, 450s (7.5 min) timestep, 48h run, 10+1 members, EDA initial conditions (no singular vector perturbations), no model uncertainty, 1 hourly archiving 0-24h, 3 hourly archiving 24-48h. Some key parameter values: Temperature = 130, U component of wind = 131, V component of wind = 132, Time-integrated temperature tendency due to parametrisations = 162110, Time-integrated eastward wind tendency due to parametrisations = 162112, Time-integrated northward wind tendency due to parametrisations = 162113, Potential vorticity = 60.128. Run made by Aristofanis Tsiringakis.
DOI 10.21957/svs1-3x90
Experiment ID i97u
Experiment class ECMWF Research Department
Examples

Retrieval of model level (ml) data, including parametrised tendencies, for all ensemble members

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2023-10-03",
    "expver": "i97u",
    "levelist": "1/to/137",
    "levtype": "ml",
    "number": "1/to/10",
    "param": "130/131/132/162110/162112/162113",
    "step": "0/to/24",
    "stream": "enfo",
    "target": "ml_output.grb",
    "time": "00:00:00",
    "type": "pf"
})

Retrieval of potential temperature (pt) level data for all ensemble members

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2023-10-03",
    "expver": "i97u",
    "levelist": "330",
    "levtype": "pt",
    "number": "1/to/10",
    "param": "60.128/131/132",
    "step": "0/to/24",
    "stream": "enfo",
    "target": "pt_output.grb",
    "time": "00:00:00",
    "type": "pf"
})