Datasets:

Flightmussy
/

sunshine-atlas

iata stringlengths 3 3	duplicate_of_iata stringclasses 9 values	city stringlengths 3 36	country_code stringclasses 234 values	country stringclasses 235 values	continent stringclasses 7 values	lat float64 -62.19 78.2	lon float64 -179.88 180	elevation_m int64 0 4.41k	population float64 19 35.7M ⌀	annual_sunshine_hours float64 649 4.35k ⌀	annual_rainfall_mm int64 0 6.48k	peak_midday_uv_index int64 2 16	climate stringclasses 14 values	destination_type stringclasses 12 values	best_month stringclasses 12 values	sunshine_score_year int64 0 100	sunshine_score_jan int64 0 100	sunshine_score_feb int64 0 100	sunshine_score_mar int64 0 100	sunshine_score_apr int64 0 100	sunshine_score_may int64 0 100	sunshine_score_jun int64 0 100	sunshine_score_jul int64 0 100	sunshine_score_aug int64 0 100	sunshine_score_sep int64 0 100	sunshine_score_oct int64 0 100	sunshine_score_nov int64 0 100	sunshine_score_dec int64 0 100
ADD	null	Addis Ababa	ET	Ethiopia	Africa	8.9779	38.7993	2,325	3,860,000	3,090	1,083	13	highland	major city break	January	84	95	92	87	81	81	76	70	70	71	91	94	95
AKL	null	Auckland	NZ	New Zealand	Oceania	-37.012	174.7863	5	1,547,200	2,479	1,015	10	oceanic / maritime	city break	January	63	83	82	80	78	54	43	36	38	52	59	77	79
AMS	null	Amsterdam	NL	Netherlands	Europe	52.3086	4.7639	6	1,031,000	1,629	828	5	oceanic / maritime	city break	July	34	0	0	0	34	52	70	73	71	63	37	12	0
ATH	null	Athens	GR	Greece	Europe	37.9364	23.9445	81	3,242,000	2,907	500	10	Mediterranean	major coastal city	August	72	28	36	58	83	92	93	85	95	91	87	70	40
ATL	null	Atlanta	US	United States	North America	33.6367	-84.4281	302	4,506,000	2,449	1,262	8	humid subtropical	major city break	October	59	19	30	59	75	76	73	64	75	76	78	57	29
AUH	null	Abu Dhabi	AE	United Arab Emirates	Asia	24.441	54.6492	19	1,807,000	3,431	64	10	hot desert	coastal city break	February	78	98	99	97	98	79	59	40	40	49	79	98	98
BCN	null	Barcelona	ES	Spain	Europe	41.2971	2.0785	2	4,920,000	2,700	518	8	Mediterranean	major coastal city	June	74	44	52	72	86	86	90	90	87	84	82	71	45
BER	null	Berlin	DE	Germany	Europe	52.3617	13.5023	42	3,426,354	1,450	603	5	oceanic / maritime	major city break	September	39	0	0	0	48	77	76	72	76	78	39	0	0
BKK	null	Bangkok	TH	Thailand	Asia	13.6811	100.747	3	6,704,000	2,535	1,302	11	tropical — wet & dry seasons	major city break	December	74	90	82	76	64	66	66	66	66	66	66	85	92
BLR	null	Bengaluru	IN	India	Asia	13.1979	77.7063	901	8,495,492	2,860	844	12	tropical — wet & dry seasons	major city break	January	79	96	95	65	60	76	82	78	75	68	70	86	93
BNE	null	Brisbane	AU	Australia	Oceania	-27.3842	153.117	6	5,638,830	2,861	1,100	12	humid subtropical	major coastal city	July	79	70	68	71	81	83	80	89	88	89	81	79	72
BOG	null	Bogota	CO	Colombia	South America	4.7016	-74.1469	2,547	7,772,000	1,905	1,624	12	highland	major city break	February	60	75	77	60	52	52	52	54	64	71	52	52	59
BOM	null	Mumbai	IN	India	Asia	19.0887	72.8679	6	18,978,000	2,753	2,509	11	tropical monsoon	major coastal city	January	68	95	76	47	28	36	68	68	68	68	76	92	94
BOS	null	Boston	US	United States	North America	42.362	-71.0079	2	4,467,000	2,157	1,207	7	hot-summer continental	major city break	July	38	0	0	0	30	68	71	74	74	74	52	12	0
BRU	null	Brussels	BE	Belgium	Europe	50.9014	4.4844	36	1,743,000	1,609	763	5	oceanic / maritime	city break	September	41	0	0	13	47	71	76	74	73	78	45	13	0
CAI	null	Cairo	EG	Egypt	Africa	30.1115	31.3967	119	11,893,000	3,501	60	11	hot desert	major city break	February	79	82	99	99	98	80	50	30	40	70	99	97	99
CAN	null	Guangzhou (Huadu)	CN	China	Asia	23.3924	113.299	15	16,096,724	1,400	1,879	8	humid subtropical	major city break	December	66	69	77	63	59	59	59	59	59	59	77	77	79
CDG	null	Paris (Roissy-en-France, Val-d'Oise)	FR	France	Europe	49.009	2.5541	103	9,904,000	1,734	662	5	oceanic / maritime	major city break	September	44	0	0	20	54	71	78	79	78	81	52	13	0
CLT	null	Charlotte	US	United States	North America	35.214	-80.9431	216	995,000	2,511	1,144	8	humid subtropical	city break	October	58	13	26	57	77	75	74	66	74	76	79	58	25
CMN	null	Casablanca	MA	Morocco	Africa	33.3675	-7.59	196	3,665,954	3,196	473	10	Mediterranean	major city break	June	85	59	67	81	91	94	97	97	97	91	89	80	72
CPH	null	Copenhagen	DK	Denmark	Europe	55.6179	12.656	3	1,153,615	1,702	697	5	oceanic / maritime	city break	July	30	0	0	0	14	47	64	76	73	59	25	0	0
CUN	null	Cancún	MX	Mexico	North America	21.0408	-86.8735	8	888,797	2,850	1,251	11	tropical — wet & dry seasons	coastal city break	March	78	84	86	89	88	79	68	80	75	68	68	73	83
DEL	null	New Delhi	IN	India	Asia	28.5556	77.0952	227	15,926,000	2,630	648	9	semi-arid	major city break	November	59	92	91	91	27	0	0	33	47	61	83	94	93
DEN	null	Denver	US	United States	North America	39.86	-104.6738	1,633	2,313,000	3,169	415	10	semi-arid	major city break	September	53	0	0	38	67	86	89	79	89	92	77	24	0
DFW	null	Dallas-Fort Worth	US	United States	North America	32.8968	-97.038	186	4,798,000	2,734	922	10	humid subtropical	major city break	September	63	28	48	79	80	74	70	51	50	81	76	78	35
DOH	null	Doha	QA	Qatar	Asia	25.2731	51.6081	7	1,450,000	2,868	56	9	hot desert	coastal city break	May	85	94	95	95	95	96	77	58	58	67	96	94	94
DTW	null	Detroit	US	United States	North America	42.2138	-83.3538	194	4,101,000	2,073	865	7	hot-summer continental	major city break	September	36	0	0	0	26	61	75	75	76	77	45	0	0
DUB	null	Dublin	IE	Ireland	Europe	53.4287	-6.2621	65	1,059,000	1,488	982	5	oceanic / maritime	city break	July	27	0	0	6	19	37	49	60	59	49	28	11	0
DXB	null	Dubai	AE	United Arab Emirates	Asia	25.2498	55.371	3	3,790,000	3,278	94	10	hot desert	major coastal city	February	48	95	97	95	58	0	0	0	0	0	39	97	97
EDI	null	Edinburgh	GB	United Kingdom	Europe	55.9501	-3.3723	29	514,990	1,292	889	4	oceanic / maritime	city break	July	25	0	0	0	19	37	53	58	56	49	23	6	0
EZE	null	Buenos Aires (Ezeiza)	AR	Argentina	South America	-34.8222	-58.5358	18	12,795,000	2,741	1,067	12	humid subtropical	major city break	December	68	76	73	73	78	69	50	41	55	75	75	77	79
FCO	null	Rome	IT	Italy	Europe	41.8045	12.252	1	3,339,000	2,823	775	9	Mediterranean	major coastal city	June	67	27	34	55	85	85	89	82	82	83	81	62	33
FRA	null	Frankfurt am Main	DE	Germany	Europe	50.0267	8.5584	108	2,895,000	1,516	670	5	oceanic / maritime	major city break	September	42	0	0	13	53	74	76	75	76	79	52	6	0
GIG	null	Rio De Janeiro	BR	Brazil	South America	-22.81	-43.2506	9	11,748,000	2,288	1,470	11	tropical monsoon	major coastal city	August	74	65	65	65	74	79	83	84	85	80	72	65	65
GRU	null	São Paulo	BR	Brazil	South America	-23.4313	-46.47	743	18,845,000	2,156	1,381	10	humid subtropical	major city break	August	73	64	64	64	75	79	81	80	85	79	72	64	64
HAN	null	Hanoi (Soc Son)	VN	Vietnam	Asia	21.2212	105.807	13	8,053,663	1,300	1,607	9	humid subtropical	major city break	February	68	80	82	77	72	58	58	58	58	58	63	76	81
HEL	null	Helsinki (Vantaa)	FI	Finland	Europe	60.3184	24.9633	48	1,115,000	1,584	732	4	continental	city break	July	26	0	0	0	0	45	68	75	75	45	0	0	0
HKG	null	Hong Kong	HK	Hong Kong SAR China	Asia	22.3118	113.9149	6	7,396,076	1,674	1,470	9	humid subtropical	major coastal city	December	71	75	83	76	68	61	61	61	61	61	78	83	84
HKT	null	Phuket	TH	Thailand	Asia	8.1133	98.3174	10	79,308	2,260	2,528	11	tropical monsoon	beach resort	February	69	77	87	71	65	65	65	65	65	65	65	65	67
HND	null	Tokyo	JP	Japan	Asia	35.5497	139.787	6	35,676,000	1,958	1,694	7	humid subtropical	major coastal city	August	47	6	13	34	54	63	63	63	66	63	63	51	25
IAD	null	Washington	US	United States	North America	38.9445	-77.4558	87	4,338,000	2,293	1,118	7	humid subtropical	major city break	August	47	0	0	26	69	70	71	72	75	72	74	33	0
IAH	null	Houston	US	United States	North America	29.9844	-95.3414	27	4,459,000	2,407	1,246	9	humid subtropical	major city break	March	66	51	67	77	77	71	63	58	49	71	70	76	57
ICN	null	Seoul	KR	South Korea	Asia	37.4691	126.451	5	10,349,312	2,037	1,174	6	humid subtropical	major coastal city	June	36	0	0	0	26	56	72	63	63	67	68	20	0
IST	null	Istanbul	TR	Türkiye	Europe	41.2749	28.7321	78	15,701,602	2,201	719	8	Mediterranean	major coastal city	July	46	0	0	7	28	64	85	87	87	80	63	39	12
JED	null	Jeddah	SA	Saudi Arabia	Asia	21.6802	39.1574	7	4,697,000	3,618	38	11	hot desert	major coastal city	February	52	99	100	90	59	20	0	10	10	20	40	78	99
JFK	null	New York	US	United States	North America	40.6394	-73.7793	2	19,040,000	2,252	1,313	7	humid subtropical	major coastal city	September	37	0	0	0	24	55	71	71	71	74	58	24	0
JNB	null	Johannesburg	ZA	South Africa	Africa	-26.1401	28.2468	1,677	9,418,183	3,287	642	12	oceanic / maritime	major city break	August	85	76	84	85	91	96	73	74	97	96	88	82	75
KEF	null	Reykjavík	IS	Iceland	Europe	63.985	-22.6056	48	166,212	1,318	1,465	3	oceanic / maritime	seaside town	July	7	0	0	0	0	0	18	29	22	10	0	0	0
KIX	null	Osaka	JP	Japan	Asia	34.4273	135.244	1	11,294,000	1,831	1,526	7	humid subtropical	major coastal city	May	47	7	13	29	57	64	62	62	62	62	62	56	25
KUL	null	Kuala Lumpur	MY	Malaysia	Asia	2.7456	101.71	18	1,453,975	2,124	2,406	11	tropical rainforest	coastal city break	February	64	64	66	64	64	64	64	64	64	64	64	64	64
LAS	null	Las Vegas	US	United States	North America	36.0834	-115.1518	641	1,823,000	3,742	147	10	hot desert	city break	April	62	48	72	98	99	90	20	0	19	59	98	98	40
LAX	null	Los Angeles	US	United States	North America	33.9425	-118.408	44	12,500,000	3,009	332	10	semi-arid	major coastal city	June	91	83	83	89	93	95	97	96	97	96	94	92	78
LHR	null	London	GB	United Kingdom	Europe	51.4707	-0.4599	30	8,961,989	1,592	736	5	oceanic / maritime	major city break	September	40	0	0	13	40	58	77	77	75	79	43	18	0
LIM	null	Lima	PE	Peru	South America	-12.0219	-77.1143	18	8,012,000	2,190	24	13	hot desert	major coastal city	January	91	91	91	91	91	91	91	91	91	91	91	91	91
MAD	null	Madrid	ES	Spain	Europe	40.4934	-3.5722	601	5,567,000	2,989	448	9	Mediterranean	major city break	June	61	15	22	51	80	89	93	67	75	92	85	43	15
MAN	null	Manchester	GB	United Kingdom	Europe	53.3494	-2.2795	68	2,230,000	1,454	1,002	5	oceanic / maritime	major city break	July	30	0	0	6	25	43	59	70	63	54	29	6	0
MCO	null	Orlando	US	United States	North America	28.4294	-81.309	34	1,350,000	2,615	1,301	9	humid subtropical	city break	November	77	83	84	82	83	76	67	67	67	67	78	86	83
MEL	null	Melbourne	AU	Australia	Oceania	-37.6707	144.8379	114	5,435,590	2,583	664	10	oceanic / maritime	major coastal city	January	67	86	85	86	84	57	35	28	34	56	84	82	83
MEX	null	Mexico City	MX	Mexico	North America	19.4358	-99.0703	2,223	19,028,000	2,945	792	11	Mediterranean	major city break	January	84	95	94	94	92	86	72	69	69	69	85	93	95
MIA	null	Miami	US	United States	North America	25.796	-80.2898	2	5,585,000	2,653	1,327	9	tropical — wet & dry seasons	major coastal city	January	76	86	86	84	81	70	67	67	67	67	72	83	85
MNL	null	Manila (Pasay)	PH	Philippines	Asia	14.5086	121.02	13	11,100,000	2,000	2,917	11	tropical rainforest	major coastal city	March	63	63	63	69	64	57	63	63	63	63	63	63	63
MSP	null	Minneapolis	US	United States	North America	44.8801	-93.2217	251	2,616,000	2,337	840	7	hot-summer continental	major city break	September	37	0	0	0	32	73	69	75	73	76	40	0	0
MUC	null	Munich	DE	Germany	Europe	48.3538	11.7861	453	1,505,005	1,776	861	6	oceanic / maritime	city break	July	37	0	0	7	46	66	70	71	70	70	39	0	0
MXP	null	Milan	IT	Italy	Europe	45.6306	8.7281	221	2,945,000	2,241	982	7	humid subtropical	major city break	July	47	0	0	40	63	72	77	79	76	77	62	22	0
ORD	null	Chicago	US	United States	North America	41.9786	-87.9048	213	8,990,000	2,095	984	7	hot-summer continental	major city break	September	38	0	0	0	43	69	70	73	72	75	50	0	0
OSL	null	Oslo (Gardermoen)	NO	Norway	Europe	60.1939	11.1004	227	1,082,575	1,634	1,066	4	continental	city break	July	22	0	0	0	6	35	59	67	60	35	0	0	0
PER	null	Perth	AU	Australia	Oceania	-31.9403	115.967	16	2,384,371	3,335	610	13	Mediterranean	major coastal city	March	80	66	67	95	93	85	68	59	67	79	93	95	87
PHL	null	Philadelphia	US	United States	North America	39.8719	-75.2411	2	5,492,000	2,267	1,228	7	humid subtropical	major city break	May	43	0	0	12	56	74	70	69	70	73	66	31	0
PKX	null	Beijing	CN	China	Asia	39.5013	116.414	22	18,960,744	2,215	515	5	semi-arid	major city break	April	50	0	0	45	87	85	70	52	72	81	87	15	0
PTY	null	Panama City	PA	Panama	North America	9.0714	-79.3835	12	1,281,000	1,770	1,937	10	tropical — wet & dry seasons	coastal city break	February	69	85	87	86	69	61	61	61	61	61	61	61	69
PUJ	null	Punta Cana	DO	Dominican Republic	North America	18.5671	-68.3646	10	100,023	2,882	650	11	semi-arid	beach resort	February	86	89	91	91	88	82	87	86	84	82	84	82	88
PVG	null	Shanghai (Pudong)	CN	China	Asia	31.1434	121.805	3	24,874,500	1,596	1,304	8	humid subtropical	major coastal city	October	45	0	0	24	53	68	60	61	60	63	73	56	19
SCL	null	Santiago	CL	Chile	South America	-33.393	-70.7858	474	5,720,000	3,263	275	13	semi-arid	major city break	March	90	78	87	97	96	90	87	82	91	96	96	97	87
SEA	null	Seattle	US	United States	North America	47.4479	-122.3103	118	3,074,000	1,896	1,230	7	Mediterranean	major city break	July	40	0	0	11	30	58	80	86	84	79	39	10	0
SFO	null	San Francisco	US	United States	North America	37.6198	-122.3748	1	3,450,000	2,879	515	9	oceanic / maritime	major city break	September	59	33	40	41	52	54	71	72	80	87	84	57	37
SGN	null	Ho Chi Minh City	VN	Vietnam	Asia	10.8188	106.652	8	14,002,598	2,456	1,373	12	tropical — wet & dry seasons	major city break	January	66	91	65	45	43	53	66	66	66	66	66	75	87
SIN	null	Singapore	SG	Singapore	Asia	1.3502	103.994	4	5,638,700	1,839	2,368	10	tropical rainforest	major coastal city	February	63	62	71	62	62	62	62	62	62	62	62	62	62
SVO	null	Moscow	RU	Russia	Europe	55.9769	37.4112	189	10,452,000	1,676	764	5	continental	major city break	August	28	0	0	0	7	60	73	71	75	51	0	0	0
SYD	null	Sydney (Mascot)	AU	Australia	Oceania	-33.9461	151.177	5	5,638,830	2,606	888	10	humid subtropical	major coastal city	September	76	79	70	75	81	84	59	65	64	86	83	79	81
SZX	null	Shenzhen	CN	China	Asia	22.6395	113.8033	3	17,494,398	1,674	1,470	9	humid subtropical	major coastal city	December	71	75	83	76	68	61	61	61	61	61	78	83	84
TFU	null	Chengdu (Jianyang)	CN	China	Asia	30.3125	104.4413	449	13,568,357	933	990	7	humid subtropical	major city break	March	55	20	40	77	72	66	60	50	56	60	73	59	27
TPE	null	Taoyuan	TW	Taiwan	Asia	25.0777	121.233	30	500,000	1,334	1,915	10	humid subtropical	coastal city break	December	62	57	64	63	64	59	59	59	59	59	66	66	68
VIE	null	Vienna	AT	Austria	Europe	48.1103	16.5697	182	2,400,000	1,794	636	6	humid subtropical	major city break	May	43	0	0	14	62	76	76	76	76	76	47	7	0
WAW	null	Warsaw	PL	Poland	Europe	52.1657	20.9671	105	1,707,000	1,623	630	5	continental	city break	September	38	0	0	0	40	74	76	74	77	78	33	0	0
YUL	null	Montréal	CA	Canada	North America	45.4678	-73.7423	30	3,678,000	1,981	1,087	6	hot-summer continental	major city break	September	34	0	0	0	18	67	70	73	72	74	29	0	0
YVR	null	Vancouver	CA	Canada	North America	49.1939	-123.184	1	2,313,328	1,739	1,285	6	Mediterranean	major city break	July	35	0	0	5	24	52	74	84	83	63	26	5	0
YYC	null	Calgary	CA	Canada	North America	51.1188	-114.0099	1,079	1,306,784	2,396	513	6	continental	alpine / mountain city	July	33	0	0	0	14	54	73	82	82	70	15	0	0
YYZ	null	Toronto	CA	Canada	North America	43.6759	-79.6294	183	5,213,000	1,957	774	7	continental	major city break	August	32	0	0	0	0	38	77	76	79	78	32	0	0
ZRH	null	Zurich	CH	Switzerland	Europe	47.4581	8.5481	420	1,108,000	1,912	1,311	6	oceanic / maritime	city break	September	35	0	0	12	43	59	64	63	63	65	42	6	0
ABJ	null	Abidjan	CI	Côte d’Ivoire	Africa	5.2614	-3.9263	4	6,321,017	1,857	1,425	9	tropical — wet & dry seasons	major coastal city	January	71	85	78	66	62	62	62	71	81	71	62	69	80
ABV	null	Abuja	NG	Nigeria	Africa	9.0068	7.2632	340	2,690,000	2,524	1,185	9	tropical — wet & dry seasons	major city break	November	71	84	65	55	62	70	67	66	66	66	72	92	84
ABZ	null	Aberdeen	GB	United Kingdom	Europe	57.2019	-2.1978	60	198,590	1,300	945	4	oceanic / maritime	seaside town	July	22	0	0	0	13	31	47	57	51	43	22	0	0
ACC	null	Accra	GH	Ghana	Africa	5.6052	-0.1668	61	2,121,000	2,134	1,167	10	tropical — wet & dry seasons	major coastal city	January	75	87	83	72	67	64	64	75	84	73	64	79	87
ACE	null	Lanzarote	ES	Spain	Africa	28.9455	-13.6052	8	155,800	2,979	109	9	hot desert	beach resort	April	93	86	86	87	96	96	96	96	96	96	94	93	94
ADB	null	Izmir	TR	Türkiye	Asia	38.2924	27.157	120	4,460,000	2,998	649	9	Mediterranean	major coastal city	June	69	24	33	57	88	91	94	87	77	93	88	68	32
ADL	null	Adelaide	AU	Australia	Oceania	-34.9475	138.5334	4	1,469,163	3,118	431	12	Mediterranean	coastal city break	January	81	95	94	93	91	81	50	50	59	82	93	94	93
AER	null	Sochi	RU	Russia	Europe	43.4499	39.9566	24	327,608	2,236	1,287	8	humid subtropical	beach resort	August	49	0	6	23	57	75	76	76	80	71	66	40	17
AGA	null	Agadir (Temsia)	MA	Morocco	Africa	30.3225	-9.412	68	825,467	3,598	266	10	semi-arid	city break	May	84	95	93	94	97	98	80	40	40	89	96	89	93
AGP	null	Málaga	ES	Spain	Europe	36.6749	-4.4991	11	592,346	3,106	506	9	Mediterranean	coastal city break	June	79	58	58	64	81	93	97	97	97	92	86	69	56
AHO	null	Alghero	IT	Italy	Europe	40.6321	8.2908	21	34,261	2,842	583	8	Mediterranean	beach resort	July	69	35	35	44	65	88	93	95	93	88	84	65	48

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Sunshine Atlas — open climate dataset

Monthly 0–100 Sunshine Scores, day/night temperatures, rainfall, midday UV index and sea temperature for 3,833 destinations worldwide — every one of them served by its own airport (one primary airport per metro area, so London is Heathrow rather than all five London fields). Built from NASA POWER's 2001–2020 climate normals, not forecasts.

Published by Sunshine Atlas; this is a mirror of the canonical dataset at sunshineatlas.com/data, which regenerates with every site build.

Provenance

Every value is either a measurement from the sources listed at the bottom of this card, or computed from them by a formula documented on the methodology page. Nothing in this dataset is written, estimated or filled in by a language model.

Four honest caveats, so you can judge fitness for your own use:

annual_sunshine_hours is modelled, not observed. It comes from NASA POWER's all-sky clearness index via the Ångström–Prescott relation, not from a sunshine recorder. Validated against 410 published national met-service figures: r = 0.92, mean absolute error 212 h/yr, bias +24 h/yr. It reads high where persistent low marine cloud or dust sits under a satellite's view — Lima and Cape Verde are the clearest cases, both ~35–40% over — and low in the perpetually-overcast Sichuan basin. This is a known limitation of satellite-derived sunshine (Kothe et al. 2017, Remote Sensing 9(5), 429).
⚠ Sunshine hours above roughly 60°N inland are unreliable and read high. Do not use them. Above the Arctic Circle the model returns a median of about 2,130 h/yr, which is higher than the 55–66° band beneath it and higher than much of the mid-latitudes; 42 of the 73 destinations there exceed 2,000 h. The split points at the cause: the maritime sub-Arctic looks right (Iceland ~1,320, coastal Norway ~1,425) while the dry continental Arctic inflates badly (Canada ~2,280, Alaska ~2,060, Russia ~1,950), most likely because snow and sea-ice albedo defeat the clearness retrieval. This group is also effectively unvalidated: exactly one of those 73 destinations has a published figure to check against, and the two high-latitude cities that do have one are both ~450 h over (Tromsø 1,713 vs 1,265; Iqaluit 1,936 vs 1,477). The 212 h error above is therefore a mid-latitude figure and does not describe the far north. Temperature, rainfall and the Sunshine Score's warmth term are unaffected.
sea_temp_c is a single year (2024), not a normal like everything else.
climate and destination_type are rule-based classifications, not source fields. sunshine_score_* is an opinionated index, not a measurement.

Files

File	Contents
`sunshine-atlas-destinations.csv`	One row per destination: IATA code, `duplicate_of_iata`, city, country, continent, coordinates, elevation, population, annual sunshine hours, annual rainfall (mm), peak midday UV index, climate band, destination type, best month, and the Sunshine Score for the year + all 12 months.
`sunshine-atlas-monthly-climate.csv`	One row per destination-month (45,996 rows): Sunshine Score, average day high °C, night low °C, rainfall mm, midday UV index, and sea-surface temperature °C for coastal places.
`sunshine-atlas-destinations.json`	Everything above as one JSON array, monthly values as arrays, plus each destination's page URL.

Join key across files: iata (the destination's primary airport).

One row per place: nine metros run two airports far enough apart to sit in different climate cells, so they hold two rows sharing a city value. duplicate_of_iata (duplicateOfIata in the JSON) is empty on every primary and carries the primary's code on each second row, so filtering it empty gives exactly one row per place, 3,824 of the 3,833. Both rows are real: each holds the climate of its own coordinates, which is why a pair rarely agrees exactly. The pairs are LHR/SEN London, GLA/PIK Glasgow, MEL/MEB Melbourne, SEA/PAE Seattle, YUL/YHU Montréal, KEF/RKV Reykjavík, MMY/SHI Miyakojima, ULV/ULY Ulyanovsk, BZI/EDO Balıkesir.

Quick start

import pandas as pd

monthly = pd.read_csv(
    "hf://datasets/Flightmussy/sunshine-atlas/sunshine-atlas-monthly-climate.csv"
)

# The sunniest places in November
nov = monthly[monthly.month == "Nov"].nlargest(10, "sunshine_score")
print(nov[["city", "sunshine_score", "day_high_c", "sea_temp_c"]])

Every destination has a deep-linkable page (https://sunshineatlas.com/destinations/<city>-<iata>/, the url field in the JSON) — and the dataset is queryable live by AI assistants over MCP: endpoint https://sunshineatlas.com/api/mcp, read-only, no key.

The Sunshine Score

One number, 0–100, for how good a destination's sunshine is in a given month: daytime warmth (full marks 20–32 °C) × dryness (monthly precipitation) × sunniness (annual sunshine hours). A freezing-but-clear month scores zero on purpose — it measures pleasant sunshine. Full formula: sunshineatlas.com/methodology.

License & citation

CC BY 4.0 — free for research, journalism and apps. Credit Sunshine Atlas and link to https://sunshineatlas.com/data/.

Sunshine Atlas (2026). Monthly sunshine scores and climate normals for 3,833 destinations (2026.11 edition). sunshineatlas.com/data/ — DOI 10.5281/zenodo.21322408

Upstream sources: temperature, rainfall, sunshine and midday UV from NASA POWER climatology, January 2001 – December 2020 (CC BY 4.0); places & populations © GeoNames & OurAirports (CC BY); elevations from the Copernicus DEM via Open-Meteo; sea temperatures via Open-Meteo Marine (CC BY 4.0). Every upstream source permits commercial use and redistribution, so this CC BY 4.0 grant carries no hidden conditions.

Versioning

This mirror is the 2026.11 edition. It adds one column, duplicate_of_iata (duplicateOfIata in the JSON), described under Files above: the nine second airports now name their primary in the data itself instead of only in this card. It is additive, so no existing value, column order or page URL changed and the climate values are identical to 2026.10. It also corrects the published accuracy figures for the modelled sunshine hours, which earlier editions gave as 404 met-service cities and a bias of +22 h/yr; re-running the validation against the current data gives 410 cities and +24 h/yr, with correlation (0.92) and mean absolute error (212 h/yr) unchanged. The old figures were right when written and drifted as destination names were corrected in 2026.09 and 2026.10, which let more cities match the reference list. The Arctic caveat above was documented in the same pass; no sunshine values were changed for it.

The 2026.10 edition added a midday UV index on the WHO scale (midday_uv_index per destination-month, peak_midday_uv_index per destination), derived from NASA POWER's all-sky surface UV over the same 2001–2020 period and rescaled from POWER's 24-hour mean to the midday value forecasts report; and it disambiguates 22 destinations that shared a name with somewhere else (Portland, Maine from Portland, Oregon; Victoria, Seychelles from Victoria, British Columbia), plus two renamed to the place their airport serves (RUN → Saint-Denis, SMS → Île Sainte-Marie). No iata changed, so joins and page URLs are unaffected, and climate values are identical to 2026.09. The nine two-airport metros already held two rows in that edition; from 2026.11 they are named in the data by duplicate_of_iata rather than only in prose.

In 2026.09: 118 destination names corrected (the record carried the airport’s host municipality instead of the destination it serves: Gaziemir → Izmir, Årø → Molde, Ciudad de la Costa → Montevideo) and 146 population figures corrected to describe the named place; page URLs unchanged, climate values identical to 2026.08. In 2026.08 the climate layer was rebuilt on NASA POWER (earlier editions mixed in CRU CL v2.0, a 1961–1990 normal; rainy_days_per_year was replaced by annual_rainfall_mm, and the continent column corrected). Climate normals change rarely; mirrored editions refresh only when the underlying data does. The canonical files at sunshineatlas.com/data are always current. GitHub mirror & issues: Flightmussy/sunshine-atlas-data.

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