RWP2024-WP

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y	Z	AA	AB	AC	AD	AE	AF	AG	AH	AI	AJ	AK	AL	AM	AN	AO	AP	AQ	AR	AS	AT	AU	AV	AW	AX	AY	AZ	BA	BB	BC
1	ROLLING WORK PLAN 2024						for the database
2	Redaction guidelines availalbe here: http://www.umr-cnrm.fr/accord/IMG/pdf/guidelinesrwp.pdf
3						NMS			1	2	2	3	3	4	4	5	5	6	6	7	7	8	8	9	9	10	10	11	11	12	12	13	13	14	14	15	16	16	17	17	18	18	19	19	20	21	21	22	22	23	23	24	24	25	26
4						Funding			1	2	35	3	36	4	51	5	37	6	38	7	39	8	52	9	40	10	41	11	42	12	53	13	43	14	54	15	16	44	17	45	18	46	19	55	20	21	47	22	48	23	49	24	50	25	26
5		WP NUMBER	WP NAME	WP LEADER & CO-LEADER(S)	IDwp	Manpower	TOT NMSs	TOT/D	ONM Algeria	GEOSPHERE Austria	GEOSPHERE Austria/D	RMI Belgium	RMI Belgium/D	NIMH Bulgaria	NIMH Bulgaria/D	DHMZ Croatia	DHMZ Croatia/D	CHMI Czech	CHMI Czech/D	DMI Denmark	DMI Denmark/D	ESTEA Estonia	ESTEA Estonia/D	FMI Finland	FMI Finland/D	Météo-France	Météo-France/D	OMSZ Hungary	OMSZ Hungary/D	IMO Iceland	IMO Iceland/D	MET Eireann	MET Eireann/D	LHMS Lithuania	LHMS Lithuania/D	Maroc Meteo	KNMI Netherlands	KNMI Netherlands/D	MET Norway	MET Norway/D	IMGW Poland	IMGW Poland/D	IPMA Portugal	IPMA Portugal/D	Meteo Romania	SHMU Slovakia	SHMU Slovakia/D	ARSO Slovenia	ARSO Slovenia/D	AEMET Spain	AEMET Spain/D	SMHI Sweden	SMHI Sweden/D	INM Tunisia	MGM Türkiye

6	MNGT	MNGT4	ACCORD Management	Claude Fischer	61	54.5	54.5	0	1.5	1	0	1	0	1	0	1.75	0	0	0	0.75	0	1	0	1	0	33	0	1	0	0.5	0	1	0	0	0	1	0	0	0	0	1	0	1	0	1	1	0	1	0	1	0	2	0	0	1
7	COM	COM2.1	Code generation and maintenance: regular maintenance and evolutions, official releases	Alexandre Mary, Daniel Santos and Claude Fischer	59	84.25	84.25	8	5	0	0	0.25	0	0	0	0	0	0	0	5	0	0	0	3	0	45.5	0	0	0	0	0	3	0	0	0	0	2.5	0	0.5	8	0	0	0	0	0	4.5	0	0	0	2	0	5	0	0	0
8		COM2.T	Code generation and maintenance: Transition to new work practices and environment	Alexandre Mary, Daniel Santos and Claude Fischer	75	14.5	14.5	0	0	0	0	3	0	0	0	0	0	0	0	2	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	3
9		COM3.1	Maintenance and Partners' implementations of the ACCORD system	Claude Fischer and Maria Derkova (CNA)	74	103.25	103.25	0	3	3	0	2	0	4	0	0	0	10	0	1	0	1.5	0	0	0	24.25	0	5	0	4.5	0	0	0	0	0	3	0	0	3	0	11	0	1.5	0	8	7.5	0	8	0	0	0	0	0	3	0
10		COM3.3	Training (preparation, lectures, attendance)	Claude Fischer, Jeanette Onvlee, Eric Bazile, Martina Tudor and Daan Degrauwe	57	8	8	0	0	0	0	0	0	0	0	1	0	0	0	0.5	0	0	0	0	0	5.5	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11		COM3.4	Attendance and preparation of ASW & EWGLAM	Claude Fischer, Jeanette Onvlee, Eric Bazile and Martina Tudor	58	6	6	0	0	0.5	0	0	0	0	0	1.25	0	0	0	0.25	0	0.5	0	0	0	0	0	0.75	0	1.5	0	0	0	0	0	0	0	0	0	0	0	0	0.25	0	0	1	0	0	0	0	0	0	0	0	0
12		COM4	Common effort on documentation	Claude Fischer	100	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
13	Transversal software developments	SPTR	Addressing future evolutions of software infrastructure	Piet Termonia, Daan Degrauwe, Claude Fischer	73	78.5	78.5	26	0	0	0	6	15	0	0	1.5	0	0	1	0	0	0	0	0	0	41	10	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	Towards modelling at (sub-)km resolution	HR	Sub-km modelling	Jeanette Onvlee, Eric Bazile and Martina Tudor and Claude Fischer	53	52.5	52.5	19	0	0	2	0	0	0	0	1	0	0	3	2	1	2	0	0	0	21.5	5	0	0	1.5	0.5	0.5	2	0	0	0	1	1	0.5	2	0	0	0	0	0	3.5	0	0	0	0	2.5	0	0	0	0
15	Dynamics	DY1	Improvement of SISL spectral dynamical core (H and NH)	Ludovic Auger & Petra Smolikova	63	24.5	24.5	1	0	0	0	0	0	0	0	1	0	5	1	0	0	0	0	0	0	7.5	0	0	0	0	0	1	0	0	0	0	0	0	0	0	6	0	0	0	1	0	0	2	0	0	0	0	0	0	0
16		DY2	FVM-like solution as an alternative to SISL dynamical core	Ludovic Auger	64	10	10	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
17		DY3	Development of methods for solving the implicit equation in gridpoint space	Ludovic Auger	65	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
18	Data Assimilation	DA1	In-situ observations	Benedikt Strajnar, Helga Toth, Kasper Hintz	110	46.25	46.25	1	0	0	0	0	0	0	0	2	0	0	0	1.5	0	0	0	1	0	12.5	0	6	0	0	0	0.25	0	0	0	0	3	0	0	0	6	0	0	0	2	1	0	1	0	1.5	0	0.5	1	3	4
19		DA2	Use of ground-based remote sensing	Benedikt Strajnar, Jana Sanchez Arriola, Maud Martet	111	110.5	110.5	0	3	7	0	3	0	7	0	0	0	8	0	1	0	0	0	0	0	48	0	4	0	0	0	1	0	0	0	3	2	0	0	0	0	0	0	0	0	8	0	2	0	4	0	6.5	0	0	3
20		DA3	Satellite-based remote sensing observations	Benedikt Strajnar, Stephanie Guedj, Isabel Monteiro, Olivier Audouin	112	123.25	123.25	0	1.5	10	0	0	0	0	0	4	0	0	0	4	0	0	0	6.5	0	62.75	0	0	0	0	0	0.5	0	0	0	3	7	0	2	0	0	0	0	0	0	0	0	1	0	9	0	9	0	3	0
21		DA4	Observation pre-processing, quality control, bias correction and representation error	Benedikt Strajnar, Alena Trojakova, Mate Mile	113	47	47	3.5	4.5	0	0	0	0	0	0	0	0	2	1	2	0	0	0	0	0	23.5	0	1	0	0	0	2.25	0	0	0	4	0	0	1	0	0	0	1.25	0	0	0	0	0	2	1.5	0	0.5	0.5	0	0
22		DA5	Variational systems, e.g. with 3D-Var or 4D-Var	Benedikt Strajnar, Antonin Bucanek, Valerie Vogt, Pau Escribà, Magnus Lindskog	114	63	63	2	0	4	0	0	0	0	0	0.5	0	1	0	0	0	0.5	0	0	0	14.5	0	2	0	0	0	0	0	0	0	0	9.5	0	9	2	0	0	0	0	0	0.5	0	3	0	8.5	0	5	0	3	0
23		DA6	EnVar, EDA and variants	Benedikt Strajnar, Roel Stappers, Pierre Brousseau	115	43.5	43.5	0.5	0	2	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	33.5	0	0	0	0	0	0	0	0	0	0	0	0	2.5	0.5	0	0	0	0	0	0	0	3	0	1	0	0	0	0	0
24		DA7	Initialization methods and nowcasting	Benedikt Strajnar, Florian Meier, Maria Diez	116	22.25	22.25	0	0	0	0	3	0	0	0	0	0	0	0	2	0	3	0	4	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0.25	0	0	1	0	0	0	3.5	0	2.5	0	0	0
25		DA8	Diagnostic methods, optimization of assimilation cycling	Benedikt Strajnar, Eoin Wheelan, Idir Dehmous	117	34	34	0	5	0	0	2	0	0	0	1	0	1	0	1	0	1.5	0	2	0	8	0	2	0	0	0	1	0	0	0	2	1	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0.5	0	1	4
26		DA9	AI/ML methods for data assimilation	Benedikt Strajnar, Jelena Bojarova, Lesley De Cruz	118	19.75	19.75	0	0	0	0	5.25	0	0	0	0	0	0	0	2.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0	0	0	2	0	0	0	0	0	9.5	0	0	0
27	Physics parametrizations	PH1	Turbulence & shallow convection	Eric Bazile, Wim de Rooij, Mario Hrastinski, Meto Shapkalijevski	91	48	48	7	2	0	0	1	0	0	0	2	1	5	0	1	0	0	0	0	0	17.5	5	0	0	0	0	0.5	0	0	0	0	6.5	1	0	0	0	0	0	0	0	0	0	4	0	0	0	1.5	0	0	0
28		PH2	Radiation	Meto Shapkalijevski, Eric Bazile, Emily Gleeson, Ján Mašek	92	16.25	16.25	5	0	0	0	0	0	0	0	0.5	0	1	0	3.5	5	0	0	0	0	2.5	0	0	0	0.75	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0
29		PH3	Clouds-precipitation microphysics	Martina Tudor, Bogdan Bochenek, Emily Gleeson, Yann Seity, Meto Shapkalijevski	94	75	75	0	0	0	0	13.75	0	0	0	0.5	0	10	0	0	0	0	0	2	0	35	0	0	0	0.75	0	1	0	0	0	1	3	0	0	0	0	0	0	0	0	0	0	0	0	2	0	4	0	2	0
30		PH4	Common 1D MUSC framework for parametrization validation	Meto Shapkalijevski, Eric Bazile, Martina Tudor, Wim de Rooij	28	7.5	7.5	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	0.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0
31		PH5	Model Output Postprocessing Parameters	Claude Fischer, Emily Gleeson, Eric Bazile, Martina Tudor, Meto Shapkalijevski	55	27.25	27.25	0	6	0	0	0	0	4	0	0.5	0	0	0	0	0	0	0	0	0	12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0.75	0	0	0
32		PH6	Study the cloud/aerosol/radiation (CAR) interactions	Emily Gleeson, Ján Mašek, Martina Tudor, Yann Seity, Meto Shapkalijevski	66	27	27	0	6.25	0	0	0	0	0	0	4	0	2	0	0	0	0	0	1	0	2.75	0	0	0	0	0	1.5	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	0	0	2	0	3.5	0	0	0
33		PH7	On the interface between the surface and the atmosphere	Meto Shapkalijevski, Patrick Samuelsson, Bogdan Bochenek, Eric Bazile	150	20	20	4	0	0	0	2	2	0	0	0	0	3	2	0.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.5	0	0	0
34		PH8	On the interface of Physics with Dynamics (and time stepping)	Meto Shapkalijevski, Ludovic Auger, Emily Gleeson, Petra Smolikova, Claude Fischer	98	3.5	3.5	1	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0
35	Surface analysis and modelling	SU1	Surface data assimilation	Patrick Samuelsson, Rafiq Hamdi, Benedikt Strajnar, Ekaterina Kourzeneva, Camille Birman, Stefan Schneider	29	60	60	2	2.5	5	0	0	0	0	0	0	0	1	2	0	0	0	0	6	0	23.25	0	12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.25	0	0	2	0	2	0	0	0	4	0	0	0
36		SU3	SURFEX: validation and development of existing components for NWP	Patrick Samuelsson, Samuel Viana, Bogdan Bochenek, Adrien Napoly, Ekaterina Kourzeneva	140	55.75	55.75	12.5	5.5	3	2	2	0	0	0	0	0	3	0	2	0	0	0	7.5	0	4.25	10.5	0	0	0	0	1	0	0	0	0	1	0	0	0	5	0	0.5	0	0	2	0	0	0	2.75	0	3.75	0	0	0
37		SU4	SURFEX: development of new model components	Patrick Samuelsson, Bogdan Bochenek, Ekaterina Kourzeneva, Patrick Le Moigne	32	11.25	11.25	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.5	0	3.5	0	0	0	0.25	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	3	0	0	0
38		SU5	Assess/improve quality of surface characterization	Patrick Samuelsson, Ekaterina Kourzeneva, Rafiq Hamdi, Bogdan Bochenek, Adrien Napoly	33	27.25	27.25	9	1.5	2	2	1	0	0	0	0	0	0	0	0	0	0	0	3	6	7	0	0	0	1.5	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.25	0	0	0
39		SU6	Coupling with sea surface/ocean	Patrick Samuelsson, Bogdan Bochenek, Ekaterina Kourzeneva, Sylvie Malardel	34	22.75	22.75	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	20.25	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0
40	Ensemble forecasting and predictability	E6	Ensemble calibration by use of machine learning and deep learning algorithms	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	80	40.75	40.75	0	2	1	0	1	0	0	0	2.5	0	0	0	0	0	0	0	0	0	22.25	0	3	0	0	0	0	0	0	0	2	0	0	2	0	5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
41		E7	Develop user-oriented approaches	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	81	79	79	6	0	0	0	3.5	0	0	0	0	0	0	0	2	0	0	0	0	0	59	0	1	0	0	0	0	0	0	0	2	0	0	0	6	0	0	0	0	0	1.5	0	0	0	2	0	2	0	0	0
42		E8	EPS preparation, evolution and migration	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	82	40	40	0	0	7	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	19.5	0	2	0	0	0	0	0	0	0	5	0	0	0.5	0	0	0	0	0	0	5	0	0	0	0	0	1	0	0	0
43		E9	Model perturbations	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	83	48.75	48.75	0	0	3	0	1.5	0	0	0	1	0	0	0	1	0	0	0	6.25	0	10.5	0	7	0	0	0	4	0	0	0	2	8	0	3.5	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
44		E10	Initial condition perturbations	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	84	13.25	13.25	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.25	0	0	0	0	0	0	0	0	0	0	0	0	5.5	0	0	0	0	0	0	1	0	2	0	0	0	2.5	0	0	0
45		E11	Surface perturbations	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	85	12.5	12.5	0	0	0	0	0.5	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	8	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0
46		E12	Lateral boundary perturbations	Henrik Feddersen, Inger-Lise Frogner, Clemens Wastl, Laure Raynaud	86	12	12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	12	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	Meteorological quality assurance and verification	MQA1	Development of HARP	Carl Fortelius, Andrew Singleton	45	14.5	14.5	0.5	0	2	0	2	0	0	0	0	0	0	0	2	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	4	0	0	0	0	0	0	2	0	0	0	0	0.5	1	0	0	0
48		MQA2	Development of new verification methods	Carl Fortelius, Joël Stein	46	34.75	34.75	9	0	0	3	4	0	5.75	3	1	0	0	0	1	0	0	0	0	0	8	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	0	0	0
49		MQA3	Verification, evaluation and error attribution	Carl Fortelius, Christoph Wittmann	130	156.75	156.75	0	4.75	6.5	0	3.5	0	0	0	4.5	0	0	0	0.5	0	3	0	8	0	46.5	0	6	0	0	0	6.25	0	0.75	0	2	1	0	1	0	15	0	6	0	8	2	0	4	0	6.5	0	0	0	9	12
50	Technical code and system development	SY1	Code optimization	Daniel Santos, Ryad El Khatib	49	10.75	10.75	0	0	0	0	0	0	0	0	0	0	0	0	0.5	0	0	0	0.25	0	1	0	0	0	0	0	0	0	9	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
51		SY2	Maintenance and development of the Harmonie Reference System	Daniel Santos	50	11	11	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0.25	0	0	0	0	0	0	0	5.25	0	0	0	0	2.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
52		SY4	Towards a more common working environment: explore practical choices, prototyping, scripting	Daniel Santos-Munoz, Alexandre Mary	72	29.25	29.25	23.75	0	0	1	1	0	0	8	0	0	0	0	3	0	0	0	0	0	1.5	0	0	0	0	0	0	0	0	1.75	0	0	0	0	0	0	0	0	9	0	0	0	0	4	0	0	0	0	0	0
53
54				Total		1851.25	1851.25	150.75	54	58	10	62.25	17	21.75	11	33.5	2	54	10	46.5	6	14	0	54.25	6	696.5	40.5	52.75	0	11.25	1.5	34	2	9.75	1.75	31	64.5	2	44	18.5	57	0	11	9	20	49.5	0	33	6	52.25	6	84.75	1.5	24	27
55								TOT/D	ONM Algeria	GEOSPHERE Austria	GEOSPHERE Austria/D	RMI Belgium	RMI Belgium/D	NIMH Bulgaria	NIMH Bulgaria/D	DHMZ Croatia	DHMZ Croatia/D	CHMI Czech	CHMI Czech/D	DMI Denmark	DMI Denmark/D	ESTEA Estonia	ESTEA Estonia/D	FMI Finland	FMI Finland/D	Météo-France	Météo-France/D	OMSZ Hungary	OMSZ Hungary/D	IMO Iceland	IMO Iceland/D	MET Eireann	MET Eireann/D	LHMS Lithuania	LHMS Lithuania/D	Maroc Meteo	KNMI Netherlands	KNMI Netherlands/D	MET Norway	MET Norway/D	IMGW Poland	IMGW Poland/D	IPMA Portugal	IPMA Portugal/D	Meteo Romania	SHMU Slovakia	SHMU Slovakia/D	ARSO Slovenia	ARSO Slovenia/D	AEMET Spain	AEMET Spain/D	SMHI Sweden	SMHI Sweden/D	INM Tunisia	MGM Türkiye
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154