TCo639L91 nudged simulation of 2018 SSW

Title TCo639L91 nudged simulation of 2018 SSW
Description Stratospheric sudden warming 2018 simulation at TCo639L91 resolution for start date 2018020800. This nudged experiment described in the paper: "Increased vertical resolution in the stratosphere reveals role of gravity waves after sudden stratospheric warmings" (https://wcd.copernicus.org/articles/4/81/2023/)
DOI 10.21957/rf4y-x692
Experiment ID hpxj
Experiment class ECMWF Research Department
Examples

Retrieves temperature and wind fields for ensemble member 5 on all pressure levels for forecast steps 0h to 1080h on a 1x1 degree grid

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2018-02-08",
    "expver": "hpxj",
    "grid": "1./1.",
    "levelist": "0.1/0.2/0.3/0.03/0.4/0.5/0.05/0.7/0.07/0.15/1/2/3/5/7/10/15/20/30/50/70/80/90/100/115/130/150/170/200/250/300/400/500/600/700/850/925/1000",
    "levtype": "pl",
    "method": "1",
    "number": "5",
    "origin": "ecmf",
    "param": "130.128/131",
    "step": "0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240/246/252/258/264/270/276/282/288/294/300/306/312/318/324/330/336/342/348/354/360/366/372/378/384/390/396/402/408/414/420/426/432/438/444/450/456/462/468/474/480/486/492/498/504/510/516/522/528/534/540/546/552/558/564/570/576/582/588/594/600/606/612/618/624/630/636/642/648/654/660/666/672/678/684/690/696/702/708/714/720/726/732/738/744/750/756/762/768/774/780/786/792/798/804/810/816/822/828/834/840/846/852/858/864/870/876/882/888/894/900/906/912/918/924/930/936/942/948/954/960/966/972/978/984/990/996/1002/1008/1014/1020/1026/1032/1038/1044/1050/1056/1062/1068/1074/1080",
    "stream": "mmsf",
    "target": "output",
    "time": "00:00:00",
    "type": "fc"
})

retrieve 2mt on the native O639 grid for ensemble member 50

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2018-02-08",
    "expver": "hpxj",
    "levtype": "sfc",
    "method": "1",
    "number": "50",
    "origin": "ecmf",
    "param": "167.128",
    "step": "0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240/246/252/258/264/270/276/282/288/294/300/306/312/318/324/330/336/342/348/354/360/366/372/378/384/390/396/402/408/414/420/426/432/438/444/450/456/462/468/474/480/486/492/498/504/510/516/522/528/534/540/546/552/558/564/570/576/582/588/594/600/606/612/618/624/630/636/642/648/654/660/666/672/678/684/690/696/702/708/714/720/726/732/738/744/750/756/762/768/774/780/786/792/798/804/810/816/822/828/834/840/846/852/858/864/870/876/882/888/894/900/906/912/918/924/930/936/942/948/954/960/966/972/978/984/990/996/1002/1008/1014/1020/1026/1032/1038/1044/1050/1056/1062/1068/1074/1080",
    "stream": "mmsf",
    "target": "output",
    "time": "00:00:00",
    "type": "fc"
})