Table A.2: 2000 country-to-country blame matrices for oxidised nitrogen.
Units: 100 tonnes of N. Emitters $\rightarrow$, Receptors $\downarrow$.

| Emitting regions and their identifying codes |

	AL	AM	AT	BA	BE	BG	BY	CH	CY	CZ	DE	DK	EE	ES	FI	FR	GB	GE	GR	HR	HU	IE	IS	IT	KZ	LT	LU
AL	1	0	1	3	0	4	0	0	0	2	5	0	0	4	0	5	1	0	18	1	2	0	0	32	0	0	0	AL
AM	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	AM
AT	0	0	54	3	8	1	0	13	0	26	118	1	0	15	0	43	12	0	1	7	9	1	0	131	0	0	1	AT
BA	1	0	7	19	2	3	0	2	0	10	21	1	0	12	0	15	3	0	4	8	7	0	0	87	0	0	0	BA
BE	0	0	0	0	21	0	0	1	0	1	25	1	0	15	0	56	37	0	0	0	0	2	0	4	0	0	0	BE
BG	4	0	5	5	2	78	1	1	0	11	22	1	0	7	0	9	4	0	30	3	12	0	0	39	0	0	0	BG
BY	1	0	10	3	8	6	33	3	0	34	87	13	3	9	9	30	23	0	3	4	17	1	0	30	0	13	1	BY
CH	0	0	2	0	6	0	0	18	0	1	22	0	0	22	0	59	9	0	0	0	0	1	0	64	0	0	0	CH
CY	0	0	0	0	0	0	0	0	2	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	CY
CZ	0	0	29	2	12	1	0	7	0	105	157	3	0	10	0	45	21	0	1	4	14	1	0	44	0	0	1	CZ
DE	0	0	31	1	136	1	1	38	0	87	842	20	0	89	1	411	247	0	1	2	6	10	1	117	0	0	10	DE
DK	0	0	1	0	13	0	1	1	0	5	52	8	0	10	1	33	56	0	0	0	1	3	2	5	0	0	1	DK
EE	0	0	2	0	4	0	3	1	0	5	28	7	4	3	10	10	10	0	0	1	2	0	0	7	0	3	0	EE
ES	0	0	1	0	5	0	0	1	0	1	10	1	0	793	0	73	31	0	1	0	0	2	0	22	0	0	0	ES
FI	0	0	6	1	14	1	10	3	0	18	89	24	17	7	139	33	49	0	1	1	6	3	0	17	0	7	1	FI
FR	0	0	6	2	56	1	0	16	0	9	136	4	0	567	0	767	186	0	1	2	2	13	1	140	0	0	5	FR
GB	0	0	1	0	19	0	0	1	0	3	33	7	0	43	1	94	458	0	0	0	1	37	1	7	0	0	1	GB
GE	0	2	0	0	0	1	0	0	0	0	1	0	0	0	0	1	0	7	1	0	0	0	0	2	0	0	0	GE
GR	5	0	3	4	1	35	1	1	0	6	13	1	0	9	0	10	3	0	122	2	5	0	0	49	0	0	0	GR
HR	1	0	9	12	2	3	0	2	0	10	25	1	0	13	0	18	3	0	3	12	7	0	0	99	0	0	0	HR
HU	1	0	19	12	4	4	1	3	0	31	51	1	0	10	0	22	8	0	3	14	42	0	0	78	0	0	0	HU
IE	0	0	0	0	2	0	0	0	0	1	4	1	0	7	0	9	45	0	0	0	0	21	0	1	0	0	0	IE
IS	0	0	0	0	1	0	0	0	0	0	4	1	0	2	0	3	13	0	0	0	0	1	5	0	0	0	0	IS
IT	2	0	20	15	9	6	0	18	0	15	70	2	0	111	0	151	16	0	17	16	8	1	0	799	0	0	1	IT
KZ	0	1	3	1	2	5	7	1	0	7	18	2	1	4	3	8	6	4	3	1	4	0	0	15	27	1	0	KZ
LT	0	0	4	1	4	1	4	1	0	13	43	10	1	4	3	13	16	0	0	1	4	1	0	11	0	6	0	LT
LU	0	0	0	0	2	0	0	0	0	0	3	0	0	2	0	7	2	0	0	0	0	0	0	1	0	0	0	LU
LV	0	0	3	1	5	1	5	1	0	9	39	10	3	3	6	12	15	0	1	1	4	1	0	9	0	5	0	LV
MD	0	0	1	1	1	5	1	0	0	3	7	1	0	1	0	2	2	0	3	0	3	0	0	5	0	0	0	MD
MK	2	0	1	1	0	7	0	0	0	2	4	0	0	3	0	3	1	0	14	1	2	0	0	15	0	0	0	MK
NL	0	0	1	0	15	0	0	1	0	2	22	1	0	12	0	40	61	0	0	0	0	2	0	4	0	0	0	NL
NO	0	0	4	0	25	0	2	2	0	14	108	37	1	15	10	60	141	0	0	0	2	6	1	7	0	1	1	NO
PL	1	0	36	8	34	5	8	10	0	157	401	33	1	25	5	104	88	0	4	10	48	4	0	89	0	3	2	PL
PT	0	0	0	0	1	0	0	0	0	0	1	0	0	57	0	7	4	0	0	0	0	0	0	1	0	0	0	PT
RO	3	0	18	18	6	48	3	4	0	37	72	4	0	18	1	30	13	0	21	11	46	1	0	94	0	1	0	RO
RU	4	4	45	14	52	42	162	20	1	129	420	79	59	47	240	161	156	26	26	15	65	8	1	169	46	48	3	RU
SE	0	0	12	2	33	2	11	6	0	38	210	67	5	21	44	90	135	0	1	2	12	6	1	34	0	7	2	SE
SI	0	0	6	2	1	1	0	1	0	3	13	0	0	5	0	8	1	0	1	6	3	0	0	55	0	0	0	SI
SK	0	0	14	5	3	3	1	3	0	35	42	1	0	5	0	15	7	0	2	7	39	0	0	38	0	0	0	SK
TR	3	3	5	4	3	38	5	3	10	10	28	3	0	13	1	17	8	7	67	3	8	0	0	54	1	1	0	TR
UA	3	0	24	13	15	45	36	7	0	76	154	14	2	24	8	52	36	2	24	11	61	2	0	105	2	8	1	UA
YU	3	0	9	17	3	14	1	2	0	17	32	1	0	11	0	16	5	0	11	7	20	0	0	80	0	0	0	YU
BAS	0	0	17	3	37	3	14	7	0	52	256	51	9	26	42	98	113	0	2	4	17	5	0	56	0	11	2	BAS
NOS	0	0	9	1	98	0	2	8	0	29	300	47	1	106	3	308	956	0	1	1	3	48	2	36	0	1	4	NOS
ATL	0	0	12	1	98	1	12	9	0	38	329	95	8	575	85	426	1068	0	0	2	7	154	47	57	0	5	4	ATL
MED	18	1	45	41	28	81	4	24	21	51	179	8	0	645	1	421	72	1	362	31	32	4	1	1080	1	1	2	MED
BLS	3	1	8	6	5	49	9	3	1	17	48	5	1	8	3	16	11	5	29	4	14	0	0	49	2	2	0	BLS
MT	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	MT
SUM	56	15	484	222	796	496	338	243	35	1120	4544	567	116	3388	616	3811	4152	54	780	195	535	339	63	3839	79	124	43	SUM
EU	8	0	136	29	334	47	25	100	0	212	1628	138	23	1757	188	1821	1342	1	145	33	51	101	5	1331	1	16	21	EU
EMC	35	13	393	170	530	362	297	192	13	933	3432	361	97	2028	482	2542	1932	48	386	153	462	128	13	2561	76	104	31	EMC
emis	73	30	559	243	879	564	410	291	70	1211	4982	631	126	4325	718	4370	4602	92	1035	219	570	381	84	4523	231	145	52	emis
	AL	AM	AT	BA	BE	BG	BY	CH	CY	CZ	DE	DK	EE	ES	FI	FR	GB	GE	GR	HR	HU	IE	IS	IT	KZ	LT	LU