URL	WMOstn	WBANo	Acz	HVAC	meanPa	WBref	hBASE	dpy	[	avHDD	avCDD	avChD	]	low	min	ave	max	best	[	WsD	YsD	]	yrs	dys	[	Icy	Hea	Hum	Pas	Vtn	EvC	DX	]	24Cd	67Fd	latitude	longitude	elev	base	stop	CC	ST	Placename		psychrometric_chart_image
https://bioclimatic.github.io/predilection/psych/661040-99999_fig2.png	661040	99999	3	__Ac	101084	19.4	55.5	10	[	0	224	1370	]	0	2	4	5	7	[	36	0	]	27	78	[	0	0	0	0	30	0	48	]	71	78	-5.597	12.188	20	2015	2020	AO		CABINDA		661040-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/661180-99999_fig2.png	661180	99999	3	__Vt	94698	19.4	58	5	[	0	18	0	]	0	0	0	0	0	[	0	0	]	22	14	[	0	0	0	0	14	0	0	]	9	14	-6.27	14.247	567	2015	2015	AO		MBANZA CONGO		661180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/661361-99999_fig2.png	661361	99999	3	__Ac	100535	19.4	55.7	8	[	7	151	606	]	0	7	9	11	15	[	5	0	]	10	129	[	0	6	0	44	59	0	20	]	66	77	-15.267	12.15	66	2015	2020	AO		NAMIBE		661361-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/661363-99999_fig2.png	661363	99999	3	__Vt	101193	19.4	55.4	1	[	0	286	0	]	0	0	0	0	0	[	0	0	]	7	120	[	0	0	0	0	120	0	0	]	88	120	-11.167	13.85	11	2016	2019	AO		SUMBE		661363-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/661600-99999_fig2.png	661600	99999	3	__Ac	100438	19.4	55.7	17	[	0	289	1778	]	0	6	8	11	15	[	46	1	]	25	157	[	0	0	0	19	83	0	55	]	106	138	-8.858	13.231	74	2002	2020	AO		LUANDA 4 DE FEVEREIRO		661600-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/662150-99999_fig2.png	662150	99999	3	__Vt	87941	19.4	61	7	[	0	8	100	]	0	0	1	1	1	[	0	0	]	28	12	[	0	0	0	1	11	0	0	]	6	10	-9.525	16.312	1179	2020	2020	AO		MALANJE		662150-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/662260-99999_fig2.png	662260	99999	3	__Ac	88872	19.4	60.5	9	[	0	117	153	]	0	3	4	5	6	[	0	0	]	29	46	[	0	0	0	2	26	6	12	]	41	30	-9.689	20.432	1092	2015	2020	AO		SAURIMO		662260-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/662850-99999_fig2.png	662850	99999	3	__Vt	86347	19.4	61.8	8	[	0	55	117	]	0	2	3	4	6	[	0	0	]	23	66	[	0	1	0	19	40	1	4	]	31	37	-11.768	19.898	1329	2014	2020	AO		LUENA		662850-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/663100-99999_fig2.png	663100	99999	3	__Ac	100893	19.4	55.5	9	[	0	113	505	]	0	2	3	4	5	[	8	0	]	21	50	[	0	0	0	10	20	0	20	]	34	40	-12.609	13.404	36	2015	2017	AO		BENGUELA		663100-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/663180-99999_fig2.png	663180	99999	3	__Vt	82472	19.4	63.8	10	[	2	15	1	]	1	2	5	6	6	[	0	0	]	28	74	[	0	2	1	57	13	1	0	]	14	1	-12.809	15.761	1703	2015	2020	AO		HUAMBO		663180-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/663250-99999_fig2.png	663250	99999	3	__Vt	82376	19.4	63.9	6	[	2	16	42	]	0	1	3	4	5	[	0	0	]	32	43	[	0	2	1	24	15	1	0	]	11	10	-12.405	16.947	1712	2015	2020	AO		KUITO		663250-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/663900-99999_fig2.png	663900	99999	3	__Vt	81882	19.4	64.2	3	[	1	29	0	]	0	0	0	0	0	[	0	0	]	19	46	[	0	1	0	12	32	0	0	]	17	23	-14.925	13.575	1761	2018	2020	AO		LUBANGO		663900-99999_fig2.png
https://bioclimatic.github.io/predilection/psych/664600-99999_fig2.png	664600	99999	3	__Ev	88931	19.4	60.5	7	[	0	196	53	]	1	3	4	5	6	[	0	0	]	29	47	[	0	0	0	5	13	21	7	]	40	12	-17.043	15.684	1087	2015	2020	AO		NGIVA		664600-99999_fig2.png