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

Braunschweig Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.6625	1.6		6.35	3.2
	1.2249999999999999	-0.6		5.60625	1.5
	1.13125	-2.2		4.924999999999999	0.6
	0.7249999999999999	-4.8		4.5375	0.4
	0.025000000000000067	-4.3		3.7562499999999996	-1.3
	-0.3437499999999999	-7.1		3.73125	-1
	-0.2875000000000001	-6.5		4.01875	-1.4
	0.8375000000000001	-5.6		4.0375	-0.5
	0.7375	-3.3		4.156250000000001	2.2
	-0.11875000000000004	-13.3		3.99375	-1.2
	-0.6375000000000001	-14.7		3.5624999999999996	-6.5
	0.31249999999999994	-11.3		3.83125	1.5
	0.5125000000000002	1.5		4.20625	3
	0.19375000000000003	1.4		3.8	4.2
Jan.	-0.0812499999999998	1.3		3.9374999999999996	6.6
	-0.31249999999999994	3.6		3.4499999999999993	8.3
	-1.075	1.2		3.175	5
	-1.41875	-0.2		2.91875	3.8
	-1.9124999999999996	-0.7		2.41875	4.2
	-2.3062500000000004	-2		1.9125	3.4
	-2.725	-2.9		1.6874999999999998	3.3
	-2.4	-2.9		1.9249999999999998	1.4
	-1.5499999999999996	-3.8		1.8437500000000002	0.6
	-1.38125	-4.1		2.625	0.2
	-1.6124999999999998	-3.3		2.40625	0.4
	-1.85625	-0.9		2.39375	0.3
	-0.5812500000000004	-1.5		4.325	0.4
	-0.06249999999999989	-4.1		4.275	-0.2
	-0.018749999999999878	-2.1		4.1625	-0.3
	-0.7000000000000003	-3.6		3.5999999999999996	0.5
	-0.9624999999999997	-4.5		3.2312499999999997	-0.1
	-1	-7.2		4.018750000000001	-3
	-0.8562499999999997	-7		3.775	-3.8
	0.02499999999999969	-8.1		4.2375	-3
	-0.2625	-4.6		4.49375	-0.5
	-0.25625000000000003	-3.4		3.6	-0.4
	-0.8999999999999999	-4.1		3.55	2.1
	-1.8125000000000002	0.3		3.4250000000000007	1.7
	-1.875	0.3		2.79375	0.7
	-1.6749999999999998	-0.1		3.9187500000000006	2.5
	-1.6124999999999994	-0.3		3.7999999999999994	4.6
	-1.15625	2.9		3.3687500000000004	6.2
	-1.8249999999999995	3.6		3.05625	6.7
	-2.075	-1.1		3.5999999999999996	6.1
	-1.5937500000000002	-7.1		4.81875	-0.2
Feb.	-0.7250000000000001	-6.8		5.91875	0.6
	0.91875	-2		6.8187500000000005	3.2
	0.3125	0.1		6.3500000000000005	3.4
	0.6499999999999999	-5.3		6.45	0.4
	0.70625	-3.4		5.437500000000001	0.7
	0.42500000000000004	-4.5		6.531249999999999	2.6
	2.0500000000000003	2.6		7.218750000000001	7.8
	1.23125	7.5		7.6625000000000005	10.9
	1.0749999999999997	6.7		6.94375	9.5
	1.00625	4.6		7.218749999999999	10
	0.99375	4.5		7.3687499999999995	12.5
	0.54375	7		6.6812499999999995	15.7
	0.08750000000000002	9.4		6.624999999999999	16.9
	0.26249999999999996	8.9		6.425	15.2
	0.024999999999999967	3.7		6.906250000000001	11.5
	-0.06249999999999996	4.6		6.718750000000001	13.7
	0.7625	5.5		7.8500000000000005	14.6
	0.59375	4.1		7.956249999999999	10.5
	0.5625	4.8		8.037500000000001	14.8
	0.56875	5.2		7.55	15.6
	0.63125	6.6		7.2875000000000005	15.5
	0.59375	6.8		7.9312499999999995	15
	0.7000000000000003	5.9		8.306249999999999	15.7
	0.9875000000000002	6.9		8.8875	16.7
	1.1687500000000002	8.8		8.106250000000001	13.9
	1.8249999999999997	4.3		8.075	11.7
	1.7937500000000002	6.6		8.99375	13.4
	1.6124999999999998	2.2		8.181249999999999	5.2
Mär.	1.8125000000000002	2.5		8.018749999999999	8.3
	1.2875000000000003	3.3		8.74375	8.4
	1.8937500000000003	1.6		9.23125	5.6
	1.9687499999999998	1.2		9.64375	12.2
	1.60625	3.9		9.718749999999998	13.3
	2.5187500000000003	4.9		10.781249999999998	11.5
	2.6937499999999996	4.2		10.75	11.8
	2.2687500000000003	2.1		10.3875	13
	2.9250000000000003	3.3		10.35625	13.3
	1.89375	5.7		10.91875	14.8
	2.1875	2.1		10.787500000000001	10.2
	2.125	-0.2		9.987500000000002	6.6
	1.53125	-1.1		10.512500000000003	8.2
	2.6	1.6		12.1	4.9
	3.8874999999999997	-0.2		11.96875	9.1
	3.5312499999999996	3		12.075000000000001	7.4
	3.8875000000000006	1.7		11.5125	7.7
	2.8999999999999995	1.4		10.4625	10.7
	2.35625	1.8		11.437500000000002	12.7
	3.6375	0.6		11.774999999999999	11.3
	3.56875	8.7		11.562500000000002	13.5
	3.3187500000000005	6.6		10.631249999999998	15
	3.1812499999999995	3.8		12.562499999999998	11.6
	4.04375	1.1		14.299999999999999	13.5
	4.425000000000001	1.1		12.8	13.1
	3.9562500000000003	3.3		13.91875	11.2
	4.331250000000001	3.7		13.587499999999997	12.4
	4.66875	2.3		13.362499999999997	12.9
	4.3375	6.3		13.112499999999999	13
	5.481249999999999	3.7		14.075000000000001	13.7
	4.2625	6.6		13.23125	14.4
Apr.	4.475	4.9		14.05625	16.2
	4.262499999999999	8		14.03125	15.8
	3.79375	9.8		14.043750000000001	18.9
	4.143750000000001	10.1		13.699999999999998	19.1
	4.18125	6.4		14.35	10.7
	4.375	3.3		15.28125	5.7
	5.0687500000000005	-0.5		15.2875	12.1
	5.231249999999999	0.2		14.831250000000002	14.9
	5.700000000000001	1.6		14.95625	15.5
	5.26875	3.2		15.312500000000004	14.4
	5.6375	2.8		15.306250000000002	15
	4.64375	1.1		14.2125	13.4
	4.7749999999999995	2.6		13.512500000000001	14.4
	4.95625	3.2		15.95	13.5
	6.987500000000001	1.1		17.33125	13.5
	6.387499999999999	2.4		16.525	15.7
	6.656249999999999	6		16.25625	19.6
	6.38125	9.3		15.24375	24.3
	5.762499999999999	12.4		15.387499999999998	23.5
	5.85625	11.2		14.0375	19.7
	5.537499999999999	10.7		15.2625	15.1
	5.68125	5.5		15.35	10
	6.75625	6.4		16.018749999999997	8.2
	6.7125	3.6		16.45	12.4
	7.875000000000001	5.2		18.78125	14.7
	8.94375	5.7		18.468750000000004	18.4
	9.10625	3.7		18.643749999999997	9.6
	8.418750000000001	2.9		17.44375	8.9
	7.25625	5.2		16.33125	13.3
	7.543749999999999	4.2		16.643749999999997	11.2
Mai	6.69375	1.7		16.331250000000004	13.4
	6.862500000000001	3.2		16.118750000000002	12.8
	8.06875	3.4		16.725	15.3
	7.837499999999999	6.3		17.09375	18
	8.662500000000001	7.4		18.36875	16.3
	9.56875	8.9		18.981249999999996	17.8
	9.9875	8.6		19.906249999999996	18.8
	10.0125	10.3		19.74375	22.2
	9.943750000000001	13.7		19.2125	25.7
	9.64375	13.5		18.85625	23.7
	9.29375	10.6		17.537499999999998	23.7
	9.012500000000001	12.8		18.3	27
	9.49375	9.2		17.950000000000003	20
	9.86875	4.9		19.068750000000005	19.3
	9.393749999999999	8.9		19.06875	25.2
	10.04375	13.3		19.55	21.8
	10.125	10.6		19.931249999999995	21
	10.175000000000002	9.9		19.5125	20.9
	10.081249999999999	12.5		20.23125	23.4
	10.49375	11.3		21.512500000000003	18.8
	10.85625	12		21.4125	19.1
	11.787499999999998	11.6		22.65625	17.4
	11.9875	10		21.556249999999995	21.2
	11.0125	11.3		20.68125	17.7
	11.493749999999999	10.3		21.48125	23.1
	12.037500000000001	9.6		21.9875	16
	12.012500000000001	8.4		21.75	18.2
	11.943749999999998	7.5		21.400000000000002	16.2
	10.856250000000003	8.2		20.237499999999997	18
	11.19375	10.3		20.474999999999998	17.9
	10.968750000000002	9.1		21.05625	16.7
Jun.	11.624999999999998	8.4		21.1875	16.7
	11.237499999999999	6.7		20.550000000000004	20.5
	11.568750000000001	10.4		21.975	22.6
	13.231250000000001	15.1		23.425	27.2
	13.55	18.3		22.756249999999998	31.3
	12.612499999999997	19.3		21.425	28.5
	11.58125	17.5		21.281249999999996	25.9
	12.437499999999998	15.9		22.29375	25.4
	12.525000000000002	13.4		21.05625	26.8
	12.374999999999998	16.3		21.543750000000003	29.8
	13.13125	18.9		22.14375	31.3
	12.95	16.8		22.993750000000006	31.7
	12.53125	20.4		22.593749999999996	35.6
	13.4375	20.4		24.23125	30.7
	13.94375	18.2		24.062499999999996	24.6
	13.318749999999998	15.1		23.006249999999998	25.2
	13.3125	13.4		22.087499999999995	23.8
	13.450000000000001	11.8		22.862500000000004	25
	12.893750000000002	10.9		22.6	19.3
	13.087499999999999	9.1		23.35	18.8
	14.225000000000001	14.2		23.412499999999998	21.8
	13.575000000000001	12.4		22.681249999999995	19.9
	13.193749999999998	16		22.868750000000002	24.5
	12.743749999999999	9.8		22.65	22.2
	13.193749999999998	10.3		22.756249999999998	20.5
	13.474999999999998	12.2		22.475	26.2
	13.74375	14.1		24.187499999999996	27
	13.58125	14.5		22.943749999999998	29
	13.818750000000001	13.3		22.30625	28.6
	12.937500000000002	15		21.999999999999996	22.9
Jul.	12.90625	12.4		21.806250000000002	27
	13.237500000000002	12.8		22.650000000000002	26.5
	13.518750000000002	16.7		23.9375	27
	13.856250000000001	12.9		23.99375	24.5
	13.931250000000002	10.3		25.193749999999998	19.8
	15.225	10.1		26	19.1
	15.393750000000004	9.9		24.41875	23.3
	14.924999999999997	10.2		23.662499999999998	19.7
	14.23125	11.5		23.849999999999998	20.9
	14.193750000000001	8.9		24.5375	23.1
	15.01875	13		24.406249999999996	26.3
	14.693750000000001	15.7		24.868749999999995	23.4
	15.231249999999998	14.7		24.356250000000003	20.8
	15.150000000000002	11.3		24.3125	24.7
	15.05625	17.8		22.837499999999995	31.8
	14.29375	19.6		23.106250000000003	37.3
	14.387499999999996	16.9		23.168749999999996	27.7
	14.4375	14.6		24.449999999999996	23.6
	14.9	12.8		25.175	25.4
	15.868750000000004	14.3		24.90625	30.4
	15.387500000000003	19.4		24.843750000000004	33
	14.250000000000004	19.7		22.89375	29.8
	13.756249999999998	17		24.281249999999996	24.9
	14.6625	11		24.75625	20.8
	14.83125	10.7		24.2125	25.1
	14.456250000000002	14.6		24.468750000000004	32.3
	14.11875	15.5		23.843749999999996	28.4
	13.837499999999999	10.1		23.175	23.5
	14.443749999999998		9.3	23.725		26.7
	14.450000000000005		14	24.7875		30.7
	15.074999999999998		16.6	25.275		35.1
Aug.	15.61875		20.7	24.950000000000003		34.7
	14.6875		14.2	23.756249999999998		22.2
	14.8125		13.3	23.474999999999998		21.3
	14.200000000000003		13.3	22.925000000000004		16.3
	14.20625		13.4	22.843749999999996		22.7
	13.718749999999998		14.6	23.450000000000003		24.2
	14.2		14	24.625		23.8
	14.575000000000001		14.2	23.84375		23.5
	14.106250000000001		14	23.418750000000003		23.7
	13.868749999999997		13.9	23.70625		24.1
	13.95625		14	23.45		23.3
	14.46875		14.5	23.71875		23.6
	14.037499999999998		13.8	21.975		22.5
	12.950000000000001		13.4	22.337500000000002		22.9
	13.4375		13.2	23.112499999999997		22.5
	13.8125		13.3	22.81875		21.9
	12.918750000000003		12.6	22.00625		22
	12.018749999999999		12.1	20.25		21.1
	12.00625		11.9	20.79375		21.2
	12.212500000000002		12.9	22.206249999999994		22.2
	13.337499999999999		13.2	22.775		22.5
	13.13125		13	22.425		21.8
	12.6875		12.2	22.45625		22
	12.681249999999999		12.5	21.3875		21.8
	11.99375		12.6	21.218749999999996		21.7
	12.737499999999999		12.8	21.85		21.9
	13.19375		12.9	21.475000000000005		21.3
	12.7875		12.2	21.712500000000002		21.3
	12.268749999999999			21.400000000000002
	11.906249999999998			19.26875
	11.306249999999999			19.3125
Sep.	11.618750000000004			20.181250000000002
	10.85			19.149999999999995
	10.9875			19.7125
	11.0375			19.04375
	10.556250000000002			19.174999999999997
	10.912500000000001			19.387500000000003
	9.749999999999998			19.206250000000004
	9.98125			18.6
	9.500000000000002			18.012500000000003
	9.925			18.25
	10.268749999999999			17.718749999999996
	10.212500000000002			18.04375
	10.706249999999999			17.675
	10.00625			17.1625
	9.199999999999998			17.41875
	8.85625			17.406249999999996
	8.63125			17.087500000000002
	8.9625			16.881249999999998
	9.299999999999999			17.16875
	9.43125			16.5
	9.24375			15.875
	9.006250000000001			15.643749999999999
	8.906249999999998			15.374999999999998
	8.33125			15.206249999999999
	7.718750000000001			15.1875
	7.85625			14.90625
	7.862500000000001			15.08125
	7.381250000000001			14.149999999999999
	7.3625			14.537500000000001
	7.275			14.58125
Okt.	7.506249999999999			13.975000000000001
	7.143749999999999			13.4375
	7.624999999999998			14.649999999999999
	6.9937499999999995			14.587499999999999
	7.4937499999999995			14.318749999999998
	8.10625			13.618749999999999
	7.85			14.681250000000002
	8.06875			13.550000000000002
	7.625			13.950000000000001
	7.66875			13.668750000000001
	7.51875			13.05625
	7.974999999999999			13.562500000000002
	6.5875			12.843750000000002
	6.5875			12.687500000000002
	6.59375			12.806249999999999
	7.1625000000000005			12.6625
	7.031250000000001			12.799999999999999
	6.793749999999999			13.087499999999999
	6.843750000000001			12.731249999999996
	6.88125			12.4875
	6.0375000000000005			11.79375
	6.19375			11.29375
	5.48125			11.025
	5.518750000000001			10.718750000000002
	5.85625			10.450000000000001
	5.2125			10.375
	4.86875			9.925
	4.29375			9.174999999999999
	5.106249999999999			10.112499999999999
	4.3			9.518749999999999
	4.25			9.075000000000001
Nov.	4.2375			9.05
	3.6125000000000003			8.037499999999998
	3.0562500000000004			7.406249999999999
	3.3562499999999997			7.3187500000000005
	3.2562499999999996			7.687499999999999
	2.48125			6.66875
	1.2687500000000003			5.975
	1.4749999999999996			5.543749999999999
	2.5250000000000004			7.7437499999999995
	1.9250000000000005			6.781250000000001
	1.7187499999999998			6.050000000000001
	1.94375			6.2250000000000005
	1.7062499999999996			5.60625
	1.525			5.6875
	1.05			4.89375
	0.09375000000000006			4.3875
	-0.24999999999999997			3.91875
	0.08124999999999993			4.293749999999999
	-0.04375000000000012			3.9437500000000005
	-0.11874999999999997			4.10625
	0.6937499999999999			4.2124999999999995
	0.96875			4.4437500000000005
	1.61875			4.925
	1.575			5.300000000000001
	1.53125			5.050000000000001
	0.8062500000000001			4.8625
	1.41875			4.8999999999999995
	0.5187499999999998			4.812499999999999
	0.28124999999999994			4.41875
	0.2875000000000001			4.125
Dez.	0.6937500000000001			4.8500000000000005
	1.2125			5.406249999999999
	2.5812500000000007			6.34375
	2.3687500000000004			6.09375
	2.225			6.39375
	1.9437499999999999			6.1125
	1.94375			5.51875
	2.2875			5.6000000000000005
	2.7875000000000005			6.593749999999999
	2.9625			7.01875
	1.9062499999999998			6.181250000000001
	1.9124999999999996			5.9624999999999995
	1.7187500000000004			5.4
	1.3874999999999997			5.2
	0.9687500000000001			4.643750000000001
	1.0125			5.7
	3.1533333333333333			6.9399999999999995

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

37°C

Höchste Temperatur

30 Jul. 26

-15°C

Niedrigste Temperatur

11 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust27.02°C

Kältester MonatJanuar-3.22°C

Nassester MonatJuni3.41mm

Windigster MonatJanuar22.61km/h

Braunschweig 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 Braunschweig?

August ist historisch gesehen der heißeste Monat in Braunschweig, mit durchschnittlichen Höchsttemperaturen von etwa 24°C. Während der stärksten Hitzewellen wurden Temperaturen von 39°C am 2022-07-20 erreicht.

2. Was ist der historisch kälteste Monat in Braunschweig?

Januar ist der kälteste Monat in Braunschweig, mit durchschnittlichen Tiefstwerten von etwa -1°C. Der Allzeit-Rekordtiefstwert von -17°C wurde am 2021-02-10 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Braunschweig beträgt etwa 701.4mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Braunschweig verzeichnet historisch gesehen etwa 214.7 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 19 Tagen.

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

Die höchste jemals in Braunschweig gemessene Temperatur beträgt 39°C am 2022-07-20.

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

Die niedrigste jemals in Braunschweig gemessene Temperatur beträgt -17°C am 2021-02-10.

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

Braunschweig erlebt seine stärksten Winde während Januar. Der historische Böenrekord von 54.4 km/h wurde am 2025-10-26 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Braunschweig im Januar etwa 86.5% und fällt im August auf etwa 69.01%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Braunschweig 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

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

Braunschweig 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

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