APEC Climate Center

The climate change scenario data provided on this website was generated in a manner to ensure user convenience when carrying out climate change impact assessments in the field of application. The data was obtained through the Earth System Grid Federation (ESGF) data portal (https://esgf-node.llnl.gov/projects/cmip5/). This data was originally generated through phase five of the Coupled Model Intercomparison Project (CMIP5) and is a collection of coordinated global-scale multi-model data. Table 1 indicates the national-level data that is currently available. This national-level data was clipped from the aforementioned global-scale multi-model data using the NetCDF Operation (NCO) library.

Table 1. Available national-level data based on clipped CMIP5 climate change scenario data.

Name	Code	xmin	ymin	xmax	ymax
Afghanistan	AF	60.4784	29.3775	74.8794	38.4834
Aland	AX	19.2907	59.8348	21.1337	60.6570
Albania	AL	19.2756	39.6445	21.0573	42.6611
Algeria	DZ	-8.6739	18.9600	11.9795	37.0937
American Samoa	AS	-171.0919	-14.3825	-169.4161	-11.0497
Andorra	AD	1.4221	42.4351	1.7804	42.6587
Angola	AO	11.6792	-18.0421	24.0821	-4.3768
Anguilla	AI	-63.4349	18.1668	-62.9320	18.6128
Antarctica	AQ	.0000	-90.0000	360.0000	-60.0000
Antigua and Barbuda	AG	-62.3524	16.9272	-61.6591	17.7294
Argentina	AR	-73.5830	-55.0613	-53.5918	-21.7813
Armenia	AM	43.4498	38.8305	46.6300	41.3018
Aruba	AW	-70.0611	12.4061	-69.8669	12.6306
Australia	AU	112.9111	-54.7783	159.1113	-9.1821
Austria	AT	9.5359	46.3780	17.1627	49.0171
Azerbaijan	AZ	44.7719	38.3971	50.6078	41.9056
Bahamas	BS	-80.4992	20.9161	-72.7116	27.2320
Bahrain	BH	50.3859	25.5422	50.8287	26.2826
Bangladesh	BD	88.0300	20.5900	92.6700	26.6300
Barbados	BB	-59.6489	13.0398	-59.4204	13.3273
Belarus	BY	23.1769	51.2564	32.7708	56.1658
Belgium	BE	2.5469	49.4936	6.4039	51.5054
Belize	BZ	-89.2248	15.8893	-87.4681	18.4966
Benin	BJ	.7746	6.2257	3.8517	12.4183
Bermuda	BM	-64.8960	32.2466	-64.6520	32.3938
Bhutan	BT	88.7600	26.7100	92.1300	28.3200
Bolivia	BO	-69.6408	-22.8961	-57.4581	-9.6806
Bonaire	BQ	-68.4165	12.0171	-62.9437	17.6561
Bosnia Herzegovina	BA	15.7189	42.5602	19.6219	45.2392
Botswana	BW	19.9995	-26.9072	29.3608	-17.7808
Bouvet Island	BV	3.3355	-54.4624	3.4880	-54.4003
Brazil	BR	-73.9828	-33.7507	-28.8391	5.2649
British Indian Ocean Territory	IO	71.2600	-7.4380	72.4932	-5.2272
British Virgin Islands	VG	-64.8318	18.3127	-64.2688	18.7572
Brunei Darussalam	BN	114.0714	4.0031	115.3594	5.0472
Bulgaria	BG	22.3569	41.2421	28.6122	44.2155
Burkina Faso	BF	-5.5189	9.4011	2.4054	15.0826
Burundi	BI	28.9931	-4.4657	30.8477	-2.3101
Cambodia	KH	102.3400	9.9100	107.6300	14.6900
Cameroon	CM	8.4948	1.6525	16.1921	13.0781
Cape Verde	CV	-25.3587	14.8022	-22.6694	17.1972
Cayman Islands	KY	-81.4328	19.2630	-79.7273	19.7617
Central African Republic	CF	14.4201	2.2205	27.4634	11.0076
Chad	TD	13.4735	7.4411	24.0027	23.4504
Chile	CL	-109.4600	-55.9800	-66.4200	-17.5100
Christmas Island	CX	105.5389	-10.5759	105.7196	-10.4158
Clipperton Island	CP	-109.2333	10.2821	-109.1993	10.3134
Cocos (Keeling) Islands	CC	96.8213	-12.1854	96.9361	-11.8039
Colombia	CO	-81.7300	-4.2300	-66.8700	13.3900
Comoros	KM	43.2158	-12.4138	44.5382	-11.3624
Congo	CG	11.2050	-5.0272	18.6498	3.7031
Congo (Democratic Republic of the)	CD	12.2041	-13.4557	31.3059	5.3861
Cook Islands	CK	-165.8581	-21.9442	-157.3121	-8.9440
Costa Rica	CR	-87.0900	5.5000	-82.5600	11.2200
Cote D`ivoire	CI	-8.5993	4.3571	-2.4949	10.7366
Croatia	HR	13.4932	42.1302	19.4491	46.5387
Cuba	CU	-84.9600	19.8300	-74.1300	23.5900
Curacao	CW	-69.1572	11.9732	-68.6393	12.3857
Cyprus	CY	32.2731	34.6315	34.5979	35.7015
Czech Republic	CZ	12.0962	48.5429	18.8601	51.0589
Denmark	DK	8.0756	54.5624	15.1588	57.7484
Djibouti	DJ	41.7734	10.9099	43.4170	12.7068
Dominica	DM	-61.4841	15.2017	-61.2442	15.6318
Dominican Republic	DO	-72.0035	17.4701	-68.3200	19.9299
Ecuador	EC	-92.0108	-4.9988	-75.1846	1.6648
Egypt	EG	24.7000	21.7300	36.2400	31.6700
El Salvador	SV	-90.1287	13.1487	-87.6922	14.4451
Equatorial Guinea	GQ	5.6024	-1.4599	11.3357	3.7860
Eritrea	ER	36.4388	12.3596	43.1486	18.0031
Estonia	EE	21.7734	57.5162	28.2100	59.6879
Ethiopia	ET	32.9999	3.4024	47.9862	14.8938
Falkland Islands (Islas Malvinas)	FK	-61.3452	-52.9006	-57.7125	-51.0149
Faroe Islands	FO	-7.6813	61.3949	-6.2586	62.4007
Federated States of Micronesia	FM	138.0500	5.2600	163.0300	11.6800
Finland	FI	20.5569	59.7676	31.5809	70.0961
France	FR	-5.1422	41.3388	9.5616	51.0928
French Guiana	GF	-54.5425	2.1271	-51.6139	5.7765
French Polynesia	PF	-154.6882	-27.6536	-134.8783	-7.8282
Gabon	GA	8.6955	-3.9788	14.5023	2.3226
Gambia	GM	-16.8251	13.0643	-13.7978	13.8266
Georgia	GE	40.0101	41.0532	46.7260	43.5865
Germany	DE	5.8656	47.2758	15.0399	55.0556
Ghana	GH	-3.2554	4.7367	1.1918	11.1733
Gibraltar	GI	-5.3573	36.1124	-5.3396	36.1598
Greece	GR	19.3744	34.8096	29.6471	41.7574
Greenland	GL	-73.2635	59.7773	-11.3123	83.6274
Grenada	GD	-61.8000	11.9924	-61.3764	12.5292
Guadeloupe	GP	-61.8072	15.8310	-61.0000	16.5168
Guam	GU	144.6192	13.2406	144.9540	13.6523
Guatemala	GT	-92.2415	13.7373	-88.2232	17.8174
Guernsey	GG	-2.6825	49.4128	-2.3513	49.5147
Guinea	GN	-15.0863	7.1936	-7.6411	12.6762
Guinea-Bissau	GW	-16.7175	10.8600	-13.6365	12.6808
Guyana	GY	-61.3848	1.1751	-56.4803	8.5576
Haiti	HT	-74.4786	18.0210	-71.6134	20.0878
Heard Island and McDonald Islands	HM	72.5965	-53.1920	73.8591	-52.9094
Honduras	HN	-89.3508	12.9824	-83.1554	17.4236
Hong Kong	HK	113.8378	22.1532	114.4348	22.5619
Hungary	HU	16.1119	45.7436	22.9060	48.5857
Iceland	IS	-24.5465	63.2868	-13.4958	66.5638
India	IN	68.1600	6.7500	97.4000	35.5000
Indonesia	ID	95.0100	-11.0000	141.0200	5.9000
Iran	IR	44.0500	25.0600	63.3200	39.7800
Iraq	IQ	38.7896	29.0612	48.5759	37.3809
Ireland	IE	-10.6181	51.4246	-6.0024	55.4365
Isle of Man	IM	-4.8302	54.0446	-4.3115	54.4197
Israel	IL	34.2659	17.2247	43.2351	33.3337
Italy	IT	6.6149	35.4922	18.5134	47.0952
Jamaica	JM	-78.3666	17.7036	-76.1803	18.5270
Japan	JP	122.9385	24.0365	153.9852	45.5231
Jersey	JE	-2.2600	49.1698	-2.0221	49.2651
Jordan	JO	34.9580	29.1850	39.3012	33.3713
Kazakhstan	KZ	46.4919	40.9363	87.3127	55.4512
Kenya	KE	33.9100	-4.6800	41.9000	4.6300
Kuwait	KW	46.5565	28.5246	48.4315	30.1037
Kyrgyzstan	KG	69.2766	39.1728	80.2832	43.2382
Laos	LA	100.0931	13.9100	107.6970	22.5004
Latvia	LV	20.9743	55.6689	28.2412	58.0823
Lebanon	LB	35.1143	33.0546	36.6254	34.6849
Lesotho	LS	27.0291	-30.6690	29.4658	-28.5721
Liberia	LR	-11.4921	4.3531	-7.3651	8.5518
Libya	LY	9.3870	19.5080	25.1506	33.1690
Liechtenstein	LI	9.4778	47.0559	9.6322	47.2735
Lithuania	LT	20.9415	53.9013	26.8719	56.4469
Luxembourg	LU	5.7346	49.4466	6.5285	50.1849
Macau	MO	113.5289	22.1107	113.5910	22.2223
Macedonia	MK	20.4524	40.8542	23.0341	42.3745
Madagascar	MG	43.1914	-25.6090	50.4838	-11.9454
Malawi	MW	32.6740	-17.1250	35.9168	-9.3675
Malaysia	MY	98.9400	.8600	119.2700	7.3600
Maldives	MV	72.6839	-.6927	73.7062	7.0984
Mali	ML	-12.2426	10.1595	4.2450	25.0000
Malta	MT	14.1916	35.8103	14.5776	36.0820
Marshall Islands	MH	165.2600	4.5700	172.1600	14.6600
Martinique	MQ	-61.2301	14.3923	-60.8155	14.8788
Mauritania	MR	-17.0665	14.7155	-4.8277	27.2981
Mauritius	MU	56.5127	-20.5257	63.5002	-10.3193
Mayotte	YT	45.0146	-13.0001	45.2929	-12.6338
Mexico	MX	-118.4539	14.5345	-86.7034	32.7168
Moldova	MD	26.6189	45.4669	30.1354	48.4902
Monaco	MC	7.3958	43.7320	7.4523	43.7695
Mongolia	MN	87.7500	41.5700	119.9200	52.1500
Montenegro	ME	18.4340	41.8531	20.3582	43.5587
Montserrat	MS	-62.2426	16.6710	-62.1464	16.8173
Morocco	MA	-13.1686	27.6621	-.9918	35.9280
Mozambique	MZ	30.2173	-26.8687	40.8445	-10.4719
Namibia	NA	11.7156	-28.9714	25.2567	-16.9599
Nauru	NR	166.8990	-.5523	166.9453	-.5043
Nepal	NP	80.0600	26.3600	88.2000	30.4300
Netherlands	NL	3.3626	50.7539	7.2279	53.5551
New Caledonia	NC	158.1976	-22.7146	172.0614	-19.1038
New Zealand	NZ	166.4386	-52.6076	-175.8290	-29.2411
Nicaragua	NI	-87.6903	10.7075	-82.5921	15.0259
Niger	NE	.1663	11.6970	15.9956	23.5250
Nigeria	NG	2.6684	4.2771	14.6801	13.8920
Niue	NU	-169.9510	-19.1522	-169.7752	-18.9511
Norfolk Island	NF	167.9164	-29.1194	168.0001	-28.9924
North Korea	KP	124.1886	37.5973	130.6749	43.0116
Northern Mariana Islands	MP	144.8861	14.1074	146.0812	20.5428
Norway	NO	4.6502	57.9666	31.1382	79.6893
Oman	OM	52.0000	16.6544	59.8366	26.3880
Pakistan	PK	60.8800	23.6900	77.8400	37.1000
Palau	PW	131.1692	3.0011	134.7237	8.0929
Palestine	PS	34.2204	31.2223	35.5755	32.5516
Panama	PA	-83.0514	7.1979	-77.1741	9.6444
Papua New Guinea	PG	140.8400	-11.6600	159.4800	-.8800
Paraguay	PY	-62.6471	-27.6087	-54.2594	-19.2940
Peru	PE	-81.3267	-18.3497	-68.6780	-.0130
Philippines	PH	116.9300	4.6100	126.6000	21.1200
Pitcairn Islands	PN	-130.7460	-25.0775	-124.7729	-23.9173
Poland	PL	14.1230	49.0064	24.1507	54.8391
Portugal	PT	-31.2658	30.1389	-6.1827	42.1456
Puerto Rico	PR	-67.9427	17.8830	-65.2200	18.5202
Qatar	QA	50.7572	24.4733	52.4276	26.1776
Republic of Fiji	FJ	-180.0000	-20.6800	180.0000	-12.4800
Republic of the Union of Myanmar(Burma)	MM	92.1900	9.6000	101.1800	28.5400
Reunion	RE	55.2191	-21.3722	55.8450	-20.8569
Romania	RO	20.2644	43.6273	29.6911	48.2653
Rwanda	RW	28.8568	-2.8407	30.8960	-1.0535
Saint Barthemy	BL	-62.8764	17.8839	-62.7924	17.9327
Saint Helena	SH	-14.4212	-40.3671	-5.6388	-7.8878
Saint Kitts and Nevis	KN	-62.8696	17.0953	-62.5433	17.4201
Saint Lucia	LC	-61.0742	13.7048	-60.8742	14.1032
Saint Martin	MF	-63.1528	18.0522	-62.9728	18.1307
Saint Pierre and Miquelon	PM	-56.4207	46.7533	-56.1574	47.1463
Saint Vincent and the Grenadines	VC	-61.4593	12.5302	-61.1139	13.3778
Samoa	WS	-172.8000	-14.0600	-171.4100	-13.4300
San Marino	SM	12.4019	43.8979	12.5156	43.9998
Sao Tome and Principe	ST	6.4702	-.0140	7.4664	1.7013
Saudi Arabia	SA	34.4957	15.6143	55.6667	32.1543
Senegal	SN	-17.5352	12.3073	-11.3559	16.6916
Serbia	RS	18.8510	41.8523	23.0053	46.1894
Seychelles	SC	46.1992	-10.1937	56.2795	-3.7115
Sierra Leone	SL	-13.3076	6.9287	-10.2842	10.0000
Singapore	SG	103.6383	1.1640	104.0901	1.4713
Sint Maarten	SX	-63.1440	18.0117	-63.0130	18.0702
Slovakia	SK	16.8477	47.7281	22.5704	49.6032
Slovenia	SI	13.3831	45.4131	16.5660	46.8779
Solomon Islands	SB	155.5086	-12.2919	168.8435	-5.0783
Somalia	SO	40.9886	-1.6621	51.4130	11.9852
South Africa	ZA	16.4580	-46.9789	38.0005	-22.1266
South Georgia and the South Sandwich Isla	GS	-41.8161	-59.4843	-26.2293	-53.6469
South Korea	KR	124.6100	33.1100	130.9200	38.6100
Spain	ES	-18.1696	27.6388	4.3154	43.7917
Sri Lanka	LK	79.6529	5.9168	81.8813	9.8314
Sudan	SD	21.8389	3.4864	38.5800	23.1469
Suriname	SR	-58.0866	1.8311	-53.9775	6.0045
Svalbard and Jan Mayen	SJ	-9.0799	70.8274	36.8153	80.8341
Swaziland	SZ	30.7941	-27.3171	32.1373	-25.7196
Sweden	SE	10.9867	55.3371	24.1633	69.0625
Switzerland	CH	5.9575	45.8257	10.4915	47.8053
Syria	SY	35.7272	32.3162	42.3754	37.3191
Taiwan	TW	116.7067	20.6975	122.0004	26.3921
Tajikistan	TJ	67.3871	36.6741	75.1372	41.0423
Tanzania	TZ	29.3300	-11.7500	40.4400	-.9900
Thailand	TH	97.3500	5.6100	105.6400	20.4600
Timor-Leste	TL	124.0400	-9.5000	127.3400	-8.1300
Togo	TG	-.1473	6.1044	1.8067	11.1390
Tokelau	TK	-172.5003	-9.3811	-171.2114	-8.5536
Tonga	TO	-176.2100	-22.3500	-173.7000	-15.5600
Trinidad and Tobago	TT	-61.9238	10.0361	-60.4896	11.3383
Tunisia	TN	7.5248	30.2404	11.5983	37.5439
Turkey	TR	25.6685	35.8154	44.8350	42.1076
Turkmenistan	TM	52.4414	35.1411	66.6843	42.7956
Turks and Caicas Islands	TC	-72.4839	21.1700	-71.0803	21.9736
Tuvalu	TV	176.0649	-9.4362	179.8634	-5.6420
Uganda	UG	29.5733	-1.4840	35.0360	4.2144
Ukraine	UA	22.1289	44.3904	40.2074	52.3694
United Arab Emirates	AE	51.5076	22.6341	56.3751	26.0789
United Kingdom	GB	-8.6507	34.5635	33.9177	60.8458
Uruguay	UY	-58.4427	-35.0479	-53.0739	-30.0822
Uzbekistan	UZ	55.9966	37.1843	73.1323	45.5997
Vanuatu	VU	166.5250	-20.2489	170.2348	-13.0734
Vatican City	VA	12.4438	41.9007	12.4580	41.9084
Venezuela	VE	-73.3541	.6263	-59.8038	12.2019
Vietnam	VN	102.1500	8.4100	109.4600	23.3900
Virgin Islands	VI	-65.0863	17.6817	-64.5652	18.4119
Wallis and Futuna	WF	-178.2068	-14.3878	-176.1288	-13.2143
Western Sahara	EH	-17.1032	20.7742	-8.6703	27.6697
Yemen	YE	41.8161	12.1111	54.5305	19.0023
Zambia	ZM	22.0000	-18.0800	33.7100	-8.2200
Zimbabwe	ZW	25.2370	-22.4177	33.0563	-15.6088

Table 2. Available United States data based on clipped CMIP5 climate change scenario data.

Name	Code	xmin	ymin	xmax	ymax
Tennessee	USTN	-90.3108	34.9839	-81.6475	36.6792
Wyoming	USWY	-111.0551	40.9963	-104.0520	45.0042
Texas	USTX	-106.6458	25.8381	-93.5087	36.5034
North Dakota	USND	-104.0496	45.9351	-96.5552	49.0012
Delaware	USDE	-75.7881	38.4272	-75.0497	39.8406
Michigan	USMI	-90.4187	41.6958	-82.1229	48.3042
Colorado	USCO	-109.0608	36.9922	-102.0420	41.0056
Mississippi	USMS	-91.6543	30.1744	-88.0980	34.9983
Minnesota	USMN	-97.2390	43.5021	-89.4877	49.3833
New Hampshire	USNH	-72.5564	42.6978	-70.6007	45.3087
Montana	USMT	-116.0507	44.3577	-104.0397	49.0015
Nebraska	USNE	-104.0528	39.9999	-95.3080	43.0028
Nevada	USNV	-120.0053	35.0021	-114.0393	42.0003
Missouri	USMO	-95.7744	35.9951	-89.1006	40.6140
New Jersey	USNJ	-75.5676	38.9300	-73.8936	41.3576
New Mexico	USNM	-109.0501	31.3319	-103.0007	36.9994
New York	USNY	-79.7633	40.4962	-71.8564	45.0158
North Carolina	USNC	-84.3210	33.8417	-75.4611	36.5890
Massachusetts	USMA	-73.5084	41.2383	-69.9275	42.8867
Ohio	USOH	-84.8199	38.4025	-78.8530	42.9616
Oregon	USOR	-124.5669	41.9925	-116.4616	46.2922
Oklahoma	USOK	-103.0009	33.6152	-94.4307	37.0009
Rhode Island	USRI	-71.8870	41.1469	-71.1206	42.0191
Pennsylvania	USPA	-80.5196	39.7194	-74.6900	42.2679
South Dakota	USSD	-104.0571	42.4811	-96.4366	45.9444
South Carolina	USSC	-83.3543	32.0492	-78.5467	35.2161
Virginia	USVA	-83.6748	36.5391	-75.2425	39.4666
Washington	USWA	-124.7628	45.5531	-116.9125	49.0036
West Virginia	USWV	-82.6408	37.2028	-77.7197	40.6385
Wisconsin	USWI	-92.8854	42.4947	-86.2496	47.3025
Vermont	USVT	-73.4434	42.7276	-71.4677	45.0163
Utah	USUT	-114.0541	36.9986	-109.0409	42.0042
Idaho	USID	-117.2402	41.9898	-111.0436	49.0015
Alaska	USAK	-168.1245	54.7639	-129.9942	72.6875
Arizona	USAZ	-114.8154	31.3292	-109.0449	37.0046
Arkansas	USAR	-94.6182	33.0045	-89.6444	36.4997
California	USCA	-124.4156	32.5309	-114.1295	42.0098
Maryland	USMD	-79.4872	37.8922	-75.0500	39.7240
Georgia	USGA	-85.6055	30.3571	-80.8409	35.0020
District of Columbia	USDC	-77.1205	38.8092	-76.9097	38.9951
Hawaii	USHI	-164.7060	18.9099	-154.8058	23.5797
Illinois	USIL	-91.5126	36.9711	-87.0181	42.5095
Indiana	USIN	-88.0897	37.7730	-84.7877	41.7623
Florida	USFL	-87.6372	24.5204	-79.7226	31.0021
Iowa	USIA	-96.6357	40.3745	-90.1393	43.5047
Kansas	USKS	-102.0486	36.9922	-94.5927	40.0045
Connecticut	USCT	-73.7297	40.9800	-71.7882	42.0497
Kentucky	USKY	-89.5737	36.4967	-81.9642	39.1472
Louisiana	USLA	-94.0458	28.9283	-88.8181	33.0206
Maine	USME	-71.0818	43.0617	-66.9489	47.4576
Alabama	USAL	-88.4720	30.2173	-84.8935	35.0089

Table 3. Available Canada data based on clipped CMIP5 climate change scenario data.

Name	Code	xmin	ymin	xmax	ymax
Alberta	CAAB	-119.9910	48.9971	-109.9999	60.0001
Prince Edward Island	CAPE	-63.2462	46.3912	-61.9714	47.0588
Manitoba	CAMB	-101.9908	49.0013	-88.9672	60.0021
Yukon	CAYT	-135.5089	63.6280	-123.7893	71.0771
Ontario	CAON	-95.1552	41.6778	-74.3190	56.8707
New Brunswick	CANB	-66.3794	46.6149	-63.7711	48.0728
Saskatchewan	CASK	-110.0000	48.9951	-101.3523	60.0049
Newfoundland and Labrador	CANF	-67.8197	46.6029	-52.6189	62.4917
British Columbia	CABC	-139.0576	48.2758	-114.0542	60.0001
Northwest Territories	CANT	-136.4639	59.9997	-102.0000	78.8257
Nova Scotia	CANS	-63.3316	45.1458	-59.6425	47.2274
Nunavut	CANU	-120.9679	51.6414	-61.1225	83.2237
Qubec	CAQC	-79.5876	45.0027	-57.1055	63.6979

Table 4. Available China data based on clipped CMIP5 climate change scenario data.

Name	Code	xmin	ymin	xmax	ymax
Chongqing	CNCQ	107.8748	30.0586	110.1911	32.2120
Zhejiang	CNZJ	120.0888	29.1795	122.9424	31.1827
Yunnan	CNYN	101.4894	24.9760	106.1942	29.2511
Xizang	CNXZ	78.4169	27.3209	99.1123	36.4835
Beijing	CNBJ	116.4107	40.1849	117.4992	41.0593
Jiangsu	CNJS	119.4557	32.9734	121.9293	35.1264
Xinjiang Uygur	CNXJ	85.2036	41.1120	96.3652	49.1750
Jiangxi	CNJX	115.7208	27.6137	118.4810	30.0806
Jilin	CNJL	126.1940	43.6644	131.3084	46.3014
Hubei	CNHU	112.2691	30.9760	116.1297	33.2775
Gansu	CNGS	100.9339	37.8208	108.7154	42.7739
Guangdong	CNGD	113.4153	23.3352	117.3107	25.5203
Anhui	CNAH	117.2262	31.8258	119.6444	34.6551
Guangxi	CNGX	108.7872	23.8274	112.0569	26.3876
Guizhou	CNGZ	106.8741	26.8152	109.5862	29.2192
Hainan	CNHA	109.7458	19.1955	111.2724	20.1626
Hebei	CNHB	116.1301	39.5457	119.8483	42.6176
Heilongjiang	CNHL	127.7824	47.8415	134.7739	53.5609
Henan	CNHE	113.6135	33.8826	116.6470	36.3742
Fujian	CNFJ	117.9899	26.0811	120.8376	28.3126
Tianjin	CNTJ	117.3330	39.3104	118.0675	40.2448
Hunan	CNHN	111.7085	27.6070	114.2544	30.1281
Nei Mongol	CNNM	97.1977	37.4421	126.0762	53.3890
Liaoning	CNLN	122.6077	41.2989	125.9160	43.4906
Ningxia Hui	CNNX	106.1649	37.2709	107.6517	39.3809
Qinghai	CNQH	89.6088	31.5535	103.0612	39.3396
Shaanxi	CNSA	108.8706	35.1952	111.2468	39.5823
Shandong	CNSD	118.1509	36.3520	122.7063	38.4001
Shanghai	CNSH	121.4546	31.1966	122.8346	31.8693
Shanxi	CNSX	112.2920	37.5759	114.5454	40.7358
Sichuan	CNSC	102.7100	30.6157	108.5342	34.3166

Table 5. Available Russia data based on clipped CMIP5 climate change scenario data.

Name	Code	xmin	ymin	xmax	ymax
Mariy-El	RUME	47.9430	57.0000	50.2130	57.3408
Kabardin-Balkar	RUKB	43.5266	43.0000	44.5347	43.9494
Kirov	RUKV	49.8460	59.0000	53.8955	61.0743
Kostroma	RUKT	40.4334	57.2773	47.6477	59.6157
Kurgan	RUKU	64.8163	55.0000	68.6729	56.8660
Krasnodar	RUKD	39.4962	45.0000	41.8698	46.8799
Kursk	RUKS	36.1273	52.0000	38.6457	52.4799
Leningrad	RULN	31.7400	60.0000	35.7130	61.3462
Lipetsk	RULP	39.1872	53.0000	40.8192	53.5724
Maga Buryatdan	RUMG	144.7434	58.8375	163.4712	66.3300
Khakass	RUKK	89.8542	53.0000	91.8464	55.4248
Krasnoyarsk	RUKX	79.0544	51.8113	113.9202	81.2850
Mordovia	RUMR	44.4778	54.0000	46.7131	55.1767
Moscow City	RUMC	37.6150	56.0000	37.9847	56.0075
Murmansk	RUMM	28.4731	66.0482	41.4099	70.0000
Nenets	RUNN	43.2616	65.8234	65.7112	70.4625
Novgorod	RUNG	32.5566	58.0000	36.4720	59.4063
Novosibirsk	RUNS	75.1198	53.3132	85.1188	57.2295
Komi	RUKO	45.5393	59.2064	66.2665	68.4109
Gorno-Altay	RUGA	87.0147	51.0000	89.8659	52.6459
Chechnya	RUCN	45.7992	43.0000	46.6185	43.9950
Buryat	RUBU	98.6694	49.9752	116.9503	57.2372
Chelyabinsk	RUCL	57.1321	51.9935	63.3781	56.4087
Chukot	RUCK	157.8286	61.8104	-168.9965	76.1667
Ingush	RUIN	44.9588	43.0000	45.3108	43.5749
Irkutsk	RUIK	95.6798	51.1374	119.1423	64.3834
Chuvash	RUCV	47.1025	56.0000	48.4509	56.3481
Kaliningrad	RUKN	21.4533	55.0000	22.8928	55.2907
Dagestan	RUDA	46.8739	43.0000	48.5051	45.0157
Ivanovo	RUIV	41.7266	57.0000	43.8728	57.7124
Kalmyk	RUKL	41.6579	44.7819	47.5944	48.2511
Kaluga	RUKG	35.4650	54.0000	37.2382	55.3099
Kamchatka	RUKQ	155.3683	50.8729	174.4967	64.9143
Karachay-Cherkess	RUKC	41.8457	44.0000	42.8797	44.4746
Karelia	RUKI	33.1480	64.0000	37.9558	66.6512
Kemerovo	RUKE	87.2100	55.0000	89.4392	56.8719
Khabarovsk	RUKH	130.6404	46.6305	147.2791	62.5263
Omsk	RUOM	73.3625	56.0000	76.2985	58.5716
Vladimir	RUVL	40.6920	56.0000	42.9335	56.8079
Tatarstan	RUTT	50.9366	55.0000	54.2052	56.7081
Stavropol'	RUST	43.4001	45.0000	45.7095	46.2259
Sverdlovsk	RUSV	57.2518	56.0593	66.1731	61.9313
Tula	RUTL	37.5840	54.0000	39.0071	54.8314
Tuva	RUTU	94.7930	52.0000	99.2206	53.7534
City of St. Petersburg	RUSP	30.1825	60.0000	30.7748	60.2662
Tver'	RUTV	34.7486	57.0000	38.3749	58.8428
Tyumen'	RUTY	69.1675	58.0000	75.2059	59.9557
Ul'yanovsk	RUUL	47.9631	54.0000	50.2655	54.9031
Smolensk	RUSM	33.0127	55.0000	35.4131	56.0398
Volgograd	RUVG	44.1847	50.0000	47.4336	51.2534
Udmurt	RUUD	52.8113	57.0000	54.4348	58.5440
Vologda	RUVO	34.7399	58.4852	47.1640	61.6305
Saratov	RUSR	46.8306	52.0000	50.8628	52.8338
Yamal-Nenets	RUYN	62.0521	62.2104	86.0029	73.5308
Yevrey	RUYV	132.2385	49.0000	134.9063	49.4893
Zabaykal'ye	RUZB	107.7758	49.1637	122.0980	58.4292
Yaroslavl'	RUYS	37.3273	56.5443	41.2176	58.9602
Pskov	RUPS	29.2588	57.0000	31.5607	59.0004
Voronezh	RUVR	40.3100	51.0000	42.9546	52.1014
Orel	RUOL	36.4848	53.0000	38.0911	53.6383
North Ossetia	RUNO	44.3253	43.0000	44.9804	43.7599
Orenburg	RUOB	55.6332	52.0000	61.6763	54.3868
Nizhegorod	RUNZ	44.6457	56.0000	47.7784	58.0800
Perm'	RUPE	56.2406	59.0000	59.5033	61.6983
Primor'ye	RUPR	134.7606	45.0000	139.0524	48.4535
Penza	RUPZ	44.6598	53.0000	46.9845	54.0102
Moskva	RUMS	37.6673	56.0000	40.2465	56.9419
Rostov	RURO	41.3397	48.0000	44.3832	50.1869
Ryazan'	RURZ	40.6544	54.0000	42.7357	55.3259
Khanty-Mansiy	RUKM	59.4976	58.5696	85.9711	65.7157
Sakhalin	RUSL	141.2159	43.3604	156.5145	54.4252
Samara	RUSA	50.4709	53.0000	52.5595	54.6826
Sakha	RUSK	105.8802	55.4873	162.7730	76.7642
Tambov	RUTB	41.6372	53.0000	43.2972	53.7914
Tomsk	RUTO	82.1344	58.0000	89.3850	61.0152
Belgorod	RUBL	37.5453	51.0000	39.3743	51.4262
Bashkortostan	RUBK	56.5283	54.0000	59.9265	56.5583
Arkhangel'sk	RUAR	35.5745	60.6331	69.0745	81.8562
Amur	RUAM	119.6844	48.8474	134.9310	57.0621
Bryansk	RUBR	33.4063	53.0000	35.2829	54.0204
Adygey	RUAD	39.9872	45.0000	40.8153	45.1819
Astrakhan'	RUAS	47.3374	47.0000	49.2310	48.8571
Altay	RUAL	82.5998	53.0000	87.1155	54.4181

The available national-level data has been configured to be used in conjunction with a R-based statistical downscaling package (R-package) that is currently being developed and will be launched soon. The R-package will be able to perform bias corrections, using the non-parametric quantile mapping method, on the downloaded data at individual stations using user-provided long-term observation data.

The number of NetCDF files total 4073 files, covering six variables: (1) precipitation; (2) max. temperature; (3) min. temperature; (4) wind speed; (5) relative humidity; and (6) solar radiation. There are also 29 Global Climate Models (GCMs) for the past (historical) and future periods (RCP4.5 and RCP8.5 scenarios) represented in the data as shown in Table 6.

Table 6. Available meteorological variables based on GCMs and RCP scenarios.

No	GCMs	Historical						RCP4.5						RCP8.5
No	GCMs	PR	TX	TN	WD	SR	RH	PR	TX	TN	WD	SR	RH	PR	TX	TN	WD	SR	RH
1	bcc-csm1-1-m	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
2	bcc-csm1-1	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
3	CanESM2	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
4	CCSM4	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
5	CESM1-BGC	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
6	CESM1-CAM5	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
7	CMCC-CM	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
8	CMCC-CMS	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
9	CNRM-CM5	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
10	CSIRO-Mk3-6-0	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
11	FGOALS-g2	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
12	FGOALS-s2	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
13	GFDL-CM3	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
14	GFDL-ESM2G	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
15	GFDL-ESM2M	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
16	HadGEM2-AO	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
17	HadGEM2-CC	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
18	HadGEM2-ES	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
19	inmcm4	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
20	IPSL-CM5A-LR	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
21	IPSL-CM5A-MR	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
22	IPSL-CM5B-LR	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
23	MIROC-ESM-CHEM	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
24	MIROC-ESM	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪	⚪
25	MIROC5	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
26	MPI-ESM-LR	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
27	MPI-ESM-MR	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
28	MRI-CGCM3	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪
29	NorESM1-M	⚪	⚪	⚪				⚪	⚪	⚪				⚪	⚪	⚪

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Acknowledgement