Sydney Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Sydney Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-4.287499999999999	-0.4		1.08125	3.3
	-3.5812500000000003	-5.2		0.3687499999999999	0.8
	-4.28125	-8		-0.28750000000000014	-4.5
	-4.875	-9.6		1.0187499999999998	-6.4
	-3.8937500000000003	-8.8		1.2	-5.3
	-5.225	-10.2		0.19999999999999996	-2.7
	-5.2625	-2.8		-0.45625000000000004	4.9
	-5.918749999999999	-1.3		-0.7500000000000001	1.7
	-5.8062499999999995	-1.9		0.012499999999999956	0.6
	-5.2437499999999995	-0.8		0.61875	5
	-4.2749999999999995	-2.2		1.0937500000000002	0.7
	-4.4875	-3.3		1.8750000000000002	0.9
	-3.6125000000000003	-4.5		2.8500000000000005	0.7
	-3.4499999999999997	-0.4		2.03125	6.5
Jan.	-5.1187499999999995	6.6		0.6812499999999999	10.2
	-4.9375	-4.2		-0.3562500000000001	4.9
	-5.675000000000002	-4.6		1.1312499999999999	1.6
	-5.6375	-0.2		0.14374999999999993	5
	-5.6312500000000005	-1.4		-0.09999999999999998	2.8
	-5.199999999999999	-5.3		1.8625	1
	-6.500000000000001	-11.7		-0.05625000000000008	-6.6
	-7.893749999999999	-5.6		-2.76875	3.7
	-8.19375	-5.5		-1.8187499999999996	1.2
	-6.93125	-12.6		-0.5625	-7.3
	-6.94375	-14.2		0.35	-11.7
	-6.1499999999999995	-11.1		0.9062499999999999	-4.6
	-5.26875	-8.1		1.4249999999999998	-4.3
	-4.41875	-9.5		1.4250000000000003	-3.9
	-5.581249999999999	-12.2		-0.12499999999999999	-6.2
	-6.8375	-11		0.31249999999999994	-7.6
	-7.3875	-9		-0.024999999999999814	-4.9
	-8.1375	-11.3		-1.5062499999999999	-1.5
	-7.606250000000001	-2.1		-1.43125	-0.8
	-8.05	-2.5		-0.6812500000000001	-0.7
	-8.387500000000001	-7.2		-1.2312499999999997	-1.2
	-6.3875	-4.8		-0.4687499999999999	0.2
	-8.275	-7.2		-0.58125	-1.8
	-7.8374999999999995	-4.8		-1.51875	-1.8
	-7.3187500000000005	-4.6		-0.09999999999999966	-2.2
	-8.200000000000001	-5.8		-2.225	-3
	-8.5625	-3.7		-1.14375	1.5
	-7.175000000000001	-9.3		-2.1562500000000004	-2.3
	-7.806249999999999	-3.2		-0.3062499999999999	1.3
	-8.70625	-6.5		-1.5125	-2.4
	-8.143749999999999	-7.5		-1.9312500000000004	0.7
Feb.	-7.74375	-6.9		-1.4375	-1.6
	-6.0625	-2.9		1.55	0.1
	-5.768749999999999	-3.7		1.1625	-0.8
	-7.106250000000001	-4.3		-1.8625	-1.5
	-6.2	-3.3		-0.31250000000000006	1.1
	-6.3812500000000005	-10.3		-1.06875	-2.8
	-6.74375	-11.1		-0.9750000000000001	-0.1
	-7.275	-3.9		0.7	-1.6
	-5.5687500000000005	-3.7		0.11874999999999986	-0.9
	-6.15	-4		0.44999999999999996	3.3
	-6.09375	-5.5		0.8875	-0.5
	-6.950000000000001	-0.7		-0.1374999999999999	4.3
	-7.806250000000002	-6.2		-1.69375	0.2
	-7.0874999999999995	-4.7		-0.5625	3.5
	-7.6625	-5.8		0.4	1.4
	-6.66875	-13.5		1.00625	-8
	-6.8687499999999995	-14.1		-0.8125000000000001	-1.2
	-7.6812499999999995	-2.7		-0.575	1.3
	-6.531250000000001	-12.5		-0.8500000000000003	-0.4
	-6.018750000000001	-14.4		-0.26249999999999973	-3
	-5.125	-8.8		0.37499999999999994	3.3
	-5.85	3.1		0.75625	5.3
	-5.05	0.9		0.10625000000000007	6.9
	-6.35625	1.5		0.4687499999999999	10.1
	-6.175	-3.3		1.4000000000000001	1.1
	-4.05	-1.7		2.38125	7.9
	-4.45625	-4.4		1.9312500000000001	5.2
	-6.1625000000000005	-3		1.15	2
Mär.	-4.237500000000001	-3.9		1.6250000000000002	0.8
	-3.6312499999999996	-5.4		1.5750000000000002	4.4
	-3.7312500000000006	4.4		1.6625	11
	-3.99375	-7.1		1.95	3.3
	-4.525000000000001	-7.4		2.2125	-2.5
	-4.3062499999999995	-5.2		1.69375	1.7
	-3.5374999999999996	-1.3		4.1625	1
	-2.95625	-3.9		3.9375	2.1
	-2.94375	-4.3		3.093749999999999	-2.5
	-4.3375	-6.2		1.8687499999999997	-1.7
	-4.2	-6.7		2	3.3
	-3.9750000000000005	-6.9		2.8249999999999997	5.1
	-3.35625	-5.8		2.19375	4.9
	-3.4375000000000004	-9.4		2.1625	-6.2
	-2.5687499999999996	-10		3.15625	-2.9
	-2.25625	-3.7		3.3124999999999996	4.4
	-2.0062499999999996	-3.4		4.2437499999999995	3.3
	-1.7062499999999998	-3.3		4.575	0.6
	-1.2249999999999999	-3.8		4.0687500000000005	-0.3
	-1.94375	-3.9		4.05	1.1
	-1.1437499999999998	-3.9		3.7687500000000003	2.8
	-2.2937499999999997	-4.7		3.3187499999999996	1.3
	-2.5	-0.4		2.59375	7.9
	-2.06875	-2		3.81875	3.8
	-2.35	-3.1		3.53125	3.1
	-1.6187499999999997	-4.8		4.5875	8.9
	-1.7874999999999999	-3.1		5.1375	11.7
	-0.5187499999999999	1.6		7.487500000000001	7
	-0.6125	-1.4		7.093749999999998	5.3
	-0.2124999999999999	-1.8		6.2875000000000005	8.2
	0.03125000000000018	3.7		6.48125	9.5
Apr.	-0.49375	0.7		6.531250000000001	5.5
	-0.9375	1.2		7.324999999999999	5.2
	0.06250000000000006	1.6		6.8687499999999995	12.7
	0.1250000000000001	-0.1		5.606249999999998	5.7
	0.06875000000000014	0.6		6.44375	8.2
	0.66875	-0.8		6.500000000000001	8.1
	0.2625	-2.7		7.862499999999999	3.1
	0.8374999999999999	-3.9		8.037499999999998	2.6
	0.35624999999999996	-4.3		7.5375	5.7
	0.8874999999999998	-1.8		7.981249999999999	3
	1.30625	-0.5		8.756249999999998	4.1
	1.7374999999999996	1.4		7.768750000000001	6.5
	2.26875	-0.6		8.331249999999999	7.9
	2.1875000000000004	-0.5		8.2625	8.7
	1.9500000000000004	-0.8		7.831249999999999	6.9
	1.21875	0.5		7.8875	5.5
	0.9312499999999999	4.1		7.8999999999999995	7.5
	1.4124999999999999	2.7		8.2125	11.3
	2.39375	1.9		9.95625	8.6
	2.6875	2.6		9.456249999999999	9.4
	2.6437500000000007	5.5		10.256250000000001	16.6
	2.38125	10		9.29375	17.4
	2.7125000000000004	8.6		10.599999999999998	12.6
	3.2312499999999997	4.1		10.368749999999999	9.8
	2.7562499999999996	2.7		9.85625	12
	3.2375000000000003	4		9.774999999999999	13
	2.95625	6.7		9.61875	12.4
	3.11875	3		10.068750000000001	5.3
	3.36875	2.4		10.743749999999999	9.5
	2.5375	3.8		10.706249999999999	14.6
Mai	3.7312499999999997	4.5		12.575000000000001	5.6
	4.2562500000000005	5.2		11.53125	15.8
	4.15625	9.1		12.25625	18.4
	4.3625	4		11.618749999999999	11.3
	4.43125	3.6		12.95625	9.3
	5.199999999999998	7.5		11.924999999999999	22
	4.38125	3.3		12.768749999999999	9.8
	4.887499999999998	1.1		13.481250000000001	8.8
	5.56875	3.2		13.781250000000004	10.1
	5.1375	2.6		12.199999999999998	16.1
	5.4875	7.2		14.39375	15.9
	6.375	5.2		13.5875	8.6
	6.093750000000001	4.2		14.324999999999998	5.1
	6.793750000000001	2.9		13.95	5.7
	6.375000000000001	1.3		15.706249999999999	3.2
	6.768749999999999	4		15.306249999999999	5.6
	6.83125	3.2		14.631250000000001	6.7
	7.093749999999998	3.6		13.8875	9.6
	6.4624999999999995	2.7		12.906249999999998	10.2
	6.63125	6		13.493749999999999	13.4
	6.737499999999999	6.4		13.5625	21.4
	7.168750000000001	6.3		13.924999999999999	14.4
	7.525	5.6		13.225000000000001	14.1
	7.356249999999998	6.6		14.524999999999999	14.4
	7.756250000000001	6.6		14.9875	9
	7.75	5.4		14.825	21.7
	7.725	9.7		15.856250000000001	18.8
	7.793749999999999	9.2		16.731250000000003	21.4
	8.74375	7.1		17.656250000000004	12.8
	8.918750000000001	6.8		17.443749999999998	9.5
	8.075	6.2		14.374999999999998	12.3
Jun.	8.206249999999999	8.8		15.362499999999999	13.5
	9.049999999999999	10.2		16.46875	11.6
	9.13125	9.1		16.775	19
	9.075000000000001	9.1		17.700000000000003	18.7
	10.424999999999997	10.8		18.650000000000002	21
	11.2875	10.1		20.1875	19.4
	11.10625	9		19.568749999999998	12
	10.79375	7.4		18.03125	14.9
	10.9	8.3		19.94375	18.1
	11.606250000000001	12.2		19.518750000000004	14.9
	11.862499999999999	9.4		19.418749999999996	16.5
	10.918750000000001	8.1		18.59375	17.4
	11.3375	10.9		19.437500000000004	17.2
	12.4	11.5		19.65625	14.7
	12.25625	10.6		19.60625	18.1
	13.112499999999999	10.8		20.4625	21.6
	13.65	11.9		21.05	23.2
	13.099999999999998	14.5		20.2375	25.9
	13.331249999999999	15.6		21.256249999999998	28.1
	13.406249999999998	16.4		21.34375	25.7
	12.993749999999997	10.8		20.78125	19.3
	13.793749999999998	8.8		22.35	21.6
	13.6875	12.9		20.79375	26.2
	13.568750000000001	12.8		21.675	23.4
	13.625000000000002	12.6		21.5	22.8
	13.474999999999998	14.4		21.287499999999998	19.5
	13.793750000000001	12.8		21.087500000000002	22.1
	14.14375	11.3		20.606249999999996	18.2
	14.168750000000003	10.8		22.275000000000002	24.6
	13.843749999999998	15.7		22.2125	22.3
Jul.	14.4625	16.1		22.381249999999994	26.2
	15	14.3		22.643749999999997	24.2
	15.193750000000001	12.6		23.60625	18.2
	15.806250000000002	12.3		23.60625	24.2
	15.9	14.2		22.60625	17.9
	15.856250000000005	13.3		23.843749999999996	22.1
	15.45625	12.7		22.231250000000006	24.4
	15.15625	13.3		22.518749999999994	24.3
	15.362500000000002	17.9		22.599999999999998	20.3
	15.46875	13.7		22.900000000000002	21.4
	15.706250000000002	12.1		21.9875	24.5
	15.668750000000001	12.6		22.825	22.4
	15.7375	14.1		22.531249999999996	19.6
	15.706249999999999	15.2		22.50625	20.1
	15.8	13.7		22.925	23.3
	16.4	14.2		23.09375	19.3
	16.318749999999998	15.9		23.762500000000003	18.7
	15.775	16		24.562499999999996	20.3
	15.462499999999999	15.9		23.24375	21.3
	15.831249999999999	16		23.868750000000002	26.1
	16.18125	19.5		23.70625	26.6
	16.018749999999997	18.6		23.325	26.8
	16.3875	17.1		23.5	26.3
	15.925	16		23.406249999999996	26.9
	15.6	17.4		22.381249999999998	24.5
	15.88125		16.6	22.031249999999996		21.5
	15.943749999999996		16.4	22.90625		24.5
	15.75625		16.7	23.3875		24.4
	16.16875		16	23.431250000000002		21.5
	16.89375		14	23.837500000000002		21
	16.85		14.3	24.23125		22.7
Aug.	16.09375		13.4	22.7375		20.2
	15.487499999999999		13	22.262500000000003		20
	15.187500000000002		15.2	22.5875		22.4
	15.49375		15.8	22.331249999999997		22.7
	15.818749999999998		16.2	22.512499999999996		23.1
	15.96875		16.3	22.7625		22.6
	15.781250000000002		15.7	22.825		23.1
	15.899999999999999		16	23.043749999999996		23.2
	16.03125		15.9	22.8		22.6
	15.14375		15.4	21.800000000000004		21.9
	15.174999999999997		15.2	22.743750000000002		22.8
	15.431250000000002		15.6	22.924999999999997		22.5
	15.48125		15.2	22.31875		22.1
	15.068750000000001		14.9	22.368750000000002		21.8
	14.299999999999999		14	22.150000000000002		21.2
	14.856249999999998		14.7	21.75625		22.2
	14.86875		14.7	21.95		21.7
	13.881249999999998		14	20.656249999999996		20.1
	13.44375		13.1	20.674999999999997		20.6
	14.012500000000001		13.9	21.44375		21.2
	14.275		14.6	20.762500000000003		21.2
	14.03125		14	20.781249999999996		20.8
	14.393749999999997		14.3	21.4875		21.4
	14.6875		14.7	21.46875		21.1
	14.093750000000002		14.2	20.61875		20.7
	13.875000000000002			20.624999999999996
	14.19375			20.425
	13.525			19.118750000000002
	13.2875			19.150000000000002
	12.8875			19.343749999999996
	13.362499999999999			20.756249999999998
Sep.	12.95625			20.056250000000002
	12.14375			18.643750000000004
	11.05			18.53125
	12.46875			19.568749999999998
	11.875			17.94375
	11.225000000000001			17.106250000000003
	10.975			17
	11.981250000000001			19.13125
	11.93125			19.056250000000002
	11.549999999999997			16.781250000000004
	10.731250000000001			16.73125
	11.05			17.06875
	10.262500000000001			16.806250000000002
	10.86875			18.44375
	11.65625			17.9125
	11.418749999999998			17.112499999999997
	11.15625			17.099999999999998
	10.50625			15.431249999999999
	9.46875			14.812499999999996
	9.05			14.625
	8.668750000000001			15.424999999999999
	9.1625			15.6
	9.756250000000001			16.387500000000003
	9.68125			15.825000000000001
	9.043750000000001			15.162500000000001
	8.65625			13.987500000000002
	7.63125			13.475
	7.543750000000001			13.33125
	7.168749999999999			13.606250000000001
	7.700000000000001			13.450000000000001
Okt.	8.368749999999999			14.337499999999999
	8.725000000000001			14.312499999999998
	8.487499999999999			13.299999999999999
	8.24375			12.931249999999999
	7.15625			12.250000000000002
	6.6875			13.337500000000002
	8.28125			13.49375
	7.524999999999999			13.05625
	8.1625			13.243749999999997
	7.24375			12.85625
	7.299999999999999			12.4625
	6.55625			11.35625
	6.237500000000001			10.243750000000002
	5.89375			10.712499999999999
	5.356249999999999			11.05625
	5.74375			11.181249999999999
	5.4625			9.35625
	5.84375			10.562500000000002
	5.68125			11.218750000000002
	5.14375			10.775
	4.06875			9.525
	3.68125			8.162500000000001
	4.2			10.337500000000002
	5.756250000000001			12.65
	3.7437500000000004			9.91875
	3.0062499999999996			8.1125
	3.7			10.068749999999998
	3.44375			8.30625
	3.6374999999999993			9.15
	3.125			9.16875
	2.6374999999999997			7.512500000000002
Nov.	2.5749999999999997			7.34375
	2.2750000000000004			7.456249999999999
	3.1500000000000004			8.037500000000001
	2.9562500000000003			7.8375
	1.9875			7.375000000000001
	1.9062500000000004			6.3125
	1.5624999999999998			5.7
	1.3625000000000003			5.86875
	1.4125			6.143749999999999
	0.36250000000000004			6.075000000000001
	1.76875			6.68125
	1.8312499999999996			6.5249999999999995
	1.4312500000000001			6.23125
	1.5875000000000001			6.36875
	0.25625			4.65625
	-0.33125000000000004			4.8187500000000005
	0.08125000000000004			5.1125
	0.71875			5.243750000000001
	1.68125			6.874999999999999
	0.34999999999999987			5.83125
	-1.0687499999999999			2.9500000000000006
	-0.10625000000000007			5.700000000000001
	-0.09999999999999992			5.3687499999999995
	-1.5625			1.69375
	-1.8125			2.95625
	-0.12500000000000006			5.10625
	-1.3625			4.61875
	-1.1875000000000002			3.8624999999999994
	-1.13125			3.9375000000000004
	-1.89375			2.78125
Dez.	-1.4687499999999998			3.0375
	-2.2999999999999994			2.975
	-2.9437499999999996			1.34375
	-1.7687499999999996			3
	-0.9437499999999998			3.625
	-1.6937500000000005			3.08125
	-2.66875			1.6875
	-2.1125000000000003			2.34375
	-2.4125			2.7812499999999996
	-2.375			2.3249999999999997
	-2.63125			1.9312500000000001
	-2.6375			1.8562500000000004
	-2.2312500000000006			1.3562499999999997
	-3.0625			1.4249999999999994
	-2.7500000000000004			1.83125
	-4.031250000000001			0.5750000000000001
	-4.213333333333334			0.7333333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

28°C

Höchste Temperatur

3 Jul. 26

-14°C

Niedrigste Temperatur

6 Mär. 26

Saisonale Aufschlüsselung

Heißester MonatAugust24.85°C

Kältester MonatJanuar-5.77°C

Nassester MonatJanuar15.16mm

Windigster MonatMärz28.16km/h

Sydney Einblicke in den KlimawandelErfahren Sie, wie sich Klimamuster im Laufe der Zeit entwickeln. Temperaturveränderungen, Niederschlagstrends und Extremereignisse – alles an einem Ort.

Wetter-Stadtranking weltweitEntdecken Sie in Echtzeit die heißesten und kältesten Städte der Welt anhand aktueller Temperaturdaten.

Frequently Asked Questions

1. Was ist der historisch heißeste Monat in Sydney?

August ist historisch gesehen der heißeste Monat in Sydney, mit durchschnittlichen Höchsttemperaturen von etwa 23°C. Während der stärksten Hitzewellen wurden Temperaturen von 31°C am 2022-07-24 erreicht.

2. Was ist der historisch kälteste Monat in Sydney?

Februar ist der kälteste Monat in Sydney, mit durchschnittlichen Tiefstwerten von etwa -7°C. Der Allzeit-Rekordtiefstwert von -24°C wurde am 2023-02-04 gemessen.

3. Wie hoch ist die durchschnittliche jährliche Niederschlagsmenge in Sydney über die letzten 17 Jahre?

Der durchschnittliche jährliche Niederschlag in Sydney beträgt etwa 1561.3mm, basierend auf Aufzeichnungen über 17 Jahre.

4. Wie viele Regentage gibt es in Sydney durchschnittlich pro Jahr?

Sydney verzeichnet historisch gesehen etwa 205.8 Regentage pro Jahr. November hat die meisten Regentage mit durchschnittlich 18.4 Tagen.

5. Was ist die höchste jemals in Sydney gemessene Temperatur?

Die höchste jemals in Sydney gemessene Temperatur beträgt 31°C am 2022-07-24.

6. Was ist die niedrigste jemals in Sydney gemessene Temperatur?

Die niedrigste jemals in Sydney gemessene Temperatur beträgt -24°C am 2023-02-04.

7. Wann ist die windigste Zeit des Jahres in Sydney historisch gesehen?

Sydney erlebt seine stärksten Winde während Januar. Der historische Böenrekord von 64.8 km/h wurde am 2022-09-24 gemessen.

8. Was ist die höchste und niedrigste Luftfeuchtigkeit in Sydney während eines Jahres?

Normalerweise erreicht die Luftfeuchtigkeit in Sydney im Februar etwa 84.4% und fällt im August auf etwa 80.1%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

Sydney Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Sydney Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Sydney Historische WetterdatenAnalysieren Sie die heißesten, kältesten, windigsten und nassesten Tage

Sydney Wettertrend-Grafik

Jahresübersicht 2026

Saisonale Aufschlüsselung

Frequently Asked Questions

Aktuelle Blogs über das Wetter

World Top 10 Hottest Cities Are All in India Again - May 2026

Delhi Air Quality 2026 vs 6-Year Historical PM2.5 Data

What 17 Years of Delhi Temperature Data Reveal About May's Heatwave Escalation

World Top Hottest Cities Belong to India - April 2026

Construction Air Pollution: The Invisible Hazard Reshaping India's Urban Air

Kitchen Air Pollution: How Cooking Can Spike Your Indoor AQI

Mumbai Air Quality Comparison of 2025 Vs 2026 (Jan-Feb)

Why AQI Standards Vary Across the World - And Why Air Quality Index Matters More Than Ever

Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Sydney Historische Wetterdaten
Analysieren Sie die heißesten, kältesten, windigsten und nassesten Tage