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

Nuremberg Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.3375000000000001	-1.4		5.487500000000001	0.7
	-0.5437500000000001	-2.5		4.48125	0.8
	-0.04374999999999993	-4.4		4.05	-1.4
	-0.18125000000000005	-4.7		4.25625	-1.9
	-1.0375	-9.6		3.5749999999999997	-2.6
	-1.0312499999999998	-10		3.6187499999999995	-3
	-1.175	-9.1		3.6812499999999995	-3
	-0.012499999999999983	-7.9		3.8312499999999994	0.3
	-0.14375000000000002	-1.3		4.35625	2.8
	-0.775	-4.8		3.6625000000000005	2
	-2.1624999999999996	-8.8		2.925	-2.8
	-1.2125	-7.9		3.1250000000000004	1.4
	-1.25625	0.8		3.8124999999999996	2.9
	-1.3624999999999998	-0.5		3.5125000000000006	5.2
Jan.	-1.8874999999999997	0.9		3.0874999999999995	6.2
	-2.06875	-0.8		3.08125	4.3
	-2.3437499999999996	1.1		2.86875	4.7
	-2.6437500000000003	-1.4		3.0187500000000003	3.8
	-3.4687500000000004	-2.7		2.1125	3.5
	-3.775	-3.7		1.80625	2.9
	-3.9250000000000003	-4.7		2.13125	2.8
	-3.5375	-4.3		2.5937499999999996	2
	-2.9375	-4.6		2.2437500000000004	1.5
	-2.0749999999999997	-4.3		2.76875	0.4
	-2.2187499999999996	-3.9		2.5999999999999996	2.1
	-2.2874999999999996	-0.9		2.9	1.4
	-2.1812500000000004	-4		3.3187500000000005	2.5
	-1.3875000000000002	-1.3		3.59375	1.6
	-1.65625	-0.8		3.5625000000000004	1.9
	-2.4312500000000004	-0.5		4.15	3.2
	-1.856250000000001	-3.2		3.4937500000000004	3.6
	-1.18125	-0.3		3.775	1.5
	-1.225	-3		4.0625	3.2
	-1.1000000000000005	-2		3.81875	1.7
	-1.59375	-2.3		3.9375000000000004	2.6
	-2.45	-1.2		3.55	4.4
	-1.8937499999999996	-2		3.9000000000000004	3.1
	-2.7375000000000003	3.1		3.7249999999999996	6.5
	-2.4624999999999995	3		3.78125	6.7
	-2.9062500000000004	0.9		3.83125	5
	-2.9187500000000006	-0.5		3.64375	8.2
	-2.7124999999999995	3.5		2.59375	8.9
	-3.5812500000000003	3.9		2.73125	9.6
	-3.693749999999999	2.7		3.9125	6.6
	-3.0812500000000003	-0.8		4.75625	3.6
Feb.	-2.125	-2.7		5.38125	2
	-1.2312500000000002	-0.5		6.775	4.3
	0.062499999999999944	0.6		6.468749999999999	3.4
	-0.0124999999999999	-2.2		6.94375	2.2
	0.12499999999999994	-0.4		5.65	2.9
	-0.6499999999999999	-4.6		6.5	4.2
	0.3749999999999999	3.3		6.875000000000001	7.7
	0.17499999999999993	7.1		6.893749999999999	9.8
	0.037499999999999756	8.1		7.150000000000001	10
	-0.6999999999999998	5.8		7.300000000000001	10.7
	-0.2937500000000001	3.3		7.3999999999999995	12.4
	-1.0187500000000003	4		6.7124999999999995	15.3
	-0.8374999999999999	6.2		6.3687499999999995	16.6
	-0.65	5.7		6.83125	14.7
	-0.6437499999999999	5		7.41875	10.7
	-0.31874999999999987	5.5		7.53125	12.8
	-0.3125	3.1		8.600000000000001	13.1
	-0.25624999999999987	4.1		8.6875	13.4
	-0.31875	3.8		7.581249999999999	14.7
	-0.7812500000000001	3.7		7.4125	15
	-0.39374999999999993	3.5		7.70625	14.8
	-1.01875	4.2		8.693750000000001	14.7
	0.4812500000000002	5.5		9.58125	14.7
	0.5937500000000001	6.1		9.956249999999999	15.7
	0.825	7.9		9.325000000000001	14.9
	1.3375000000000001	5.3		9.15	11.1
	1.55	3.1		9.575	14.1
	1.2750000000000001	3.7		8.575000000000001	10.7
Mär.	1.11875	2.7		8.6625	5.9
	1.575	1.3		10.281250000000002	7.1
	1.31875	1.4		10.8875	6.3
	1.51875	0.4		10.3125	12.1
	1.2625000000000002	3.5		10.5375	13.3
	1.30625	2.4		11.218749999999996	13.2
	1.7375	4.3		11.787500000000001	10.7
	1.725	2.7		11.225	13.3
	1.61875	1.9		11.16875	13.5
	1.6437499999999998	3.7		11.931250000000002	14.6
	1.3	2.6		11.4875	11.1
	1.9187499999999997	-0.8		10.23125	5.4
	1.6375	-2.6		11.443750000000001	7.2
	1.84375	-1.3		13.40625	9.8
	3.78125	0.2		13.331249999999999	6.4
	3.2	0.7		14.04375	5.1
	3.5624999999999996	0.9		12.637500000000001	4.9
	3.2874999999999996	1.5		11.9875	9.1
	2.1	-0.9		11.5125	11.8
	2.83125	1.4		13.100000000000001	12.1
	2.7625	5.6		13.0125	12.1
	2.9874999999999994	5.4		12.387499999999998	19.4
	2.80625	3.6		12.7875	13.8
	3.2875	2.9		14.300000000000002	16.3
	3.3562499999999997	1.9		13.456249999999999	15.8
	3.6374999999999997	2.8		14.943750000000003	16
	3.9250000000000003	5.8		14.712499999999999	11.6
	4.2375	3.1		14.850000000000003	15.9
	4.0375	7.4		14.531249999999998	8.2
	4.43125	6.6		14.0375	16.5
	3.8499999999999996	7.4		14.606250000000001	8.5
Apr.	4.187500000000001	6.8		14.6	14.4
	4.343750000000001	9.6		14.59375	17.3
	3.75	6.9		14.306250000000002	20.4
	4.012500000000001	11		13.83125	20.4
	3.95625	5.5		15.0625	13.3
	4.19375	3.4		15.61875	12.4
	4.593750000000001	2.2		16.631249999999998	12.7
	5.199999999999999	0.9		16.31875	15.4
	5.725	1.8		16.2625	17.5
	4.94375	2.6		16.40625	17.8
	5.6000000000000005	4.2		16.03125	18.6
	4.9437500000000005	3.9		14.53125	16.2
	4.43125	2.9		15.112499999999999	18.4
	5.03125	7		16.518749999999997	19.7
	6.656250000000001	5.5		17.906249999999996	16.7
	7.231249999999999	2.5		17.6	15.8
	7.299999999999999	3.7		17.59375	21.1
	7.35	6.6		16.8375	24.7
	6.925	8.9		16.043749999999996	24.9
	6.15	10.7		15.5	22.8
	6.175	11.8		16.625	22.3
	6.5375000000000005	9.1		16.91875	18
	6.743750000000001	8.9		17.35625	12.1
	6.875	5.3		18.043750000000003	16.7
	7.974999999999999	5.7		19.112499999999997	20.7
	8.418750000000001	8.2		19.818749999999998	22.7
	9.2375	5.2		20.00625	16.2
	8.91875	2.5		18.5625	10.4
	7.681250000000002	1.7		17.15	13.1
	7.09375	5		17.63125	12.7
Mai	7.037500000000001	4.1		17.275000000000002	12.2
	6.95625	2.8		17.0375	13.1
	7.812500000000001	3.1		16.89375	15.3
	7.350000000000001	5		18.368750000000002	18
	7.643750000000002	5.7		19.9	17
	9.2625	9.2		19.712500000000002	17.9
	9.681249999999999	8.7		20.59375	19.2
	10.03125	9.3		20.91875	25.3
	9.893749999999999	12.1		20.212500000000002	27.9
	9.11875	14.7		18.931250000000002	29.5
	9.493749999999999	14		18.7625	28.9
	9.69375	14.1		19.33125	30.6
	9.593749999999998	15		19.475	29.2
	9.487499999999999	10.3		19.662499999999998	24.8
	9.78125	9.3		19.7625	26.7
	9.1375	14.4		20.6125	26.9
	10.218749999999998	13.2		20.956249999999997	24.5
	10.06875	13.1		20.26875	22.4
	10.9125	12.1		20.799999999999997	25.9
	11.568750000000001	11.9		22.137499999999996	18.4
	11.737499999999999	11.4		23.181250000000006	20.9
	12.35	10.8		23.106250000000003	19.3
	11.54375	8.3		21.95	23
	11.937500000000002	11.9		22.537499999999998	20.9
	12.25625	10.8		22.39375	26.1
	12.1125	11.2		23.06875	18.5
	12.50625	9.9		22.6125	17.4
	12.4	7		22.8125	16.1
	12.19375	9.8		23.056250000000002	14.3
	11.768749999999999	14.1		22.20625	23
	11.506249999999998	10.3		22.65625	18
Jun.	11.899999999999997	7.2		22.5875	20.1
	12.293750000000001	8.7		22.156250000000004	19.3
	12.35	11.7		23.812499999999996	24.8
	13.412500000000001	15		24.618750000000002	30.3
	14.118749999999999	17.7		25.143749999999997	34
	13.499999999999998	17.5		24.124999999999996	31.8
	12.31875	17.4		23.775	33.2
	13.062499999999998	16.1		24.13125	32.7
	13.20625	17.6		22.462500000000002	31.5
	12.606250000000001	18		23.187499999999996	32.5
	12.524999999999999	19.1		24.150000000000006	34.1
	13.0625	20.2		24.781249999999996	35.8
	13.325	21.6		24.28125	36.9
	13.393749999999999	20.8		25.08125	35.1
	14.15625	19.2		25.118750000000002	30.6
	14.350000000000001	17.4		25.01875	29
	13.28125	15.5		24.15	20.6
	13.325	13		24.675000000000004	25.9
	13.325000000000001	12.3		24.3125	23.8
	13.71875	11.5		24.687500000000004	24.9
	13.900000000000002	14.2		25.4125	22.7
	14.475000000000001	12.9		25.75	25.2
	14.043750000000003	15.3		24.418749999999996	30
	12.825000000000001	16.6		23.03125	22.1
	13.143749999999999	13.8		23.937499999999996	26.3
	14.075000000000001	13.5		24.40625	28.7
	14.200000000000003	15		24.899999999999995	28.5
	14.225	14		25.268750000000004	29.2
	13.706249999999999	15.6		23.4375	31.3
	13.175	16.9		23.68125	31.8
Jul.	13.387500000000001	15.8		23.825	27.5
	13.1	15		24.14375	29.5
	13.350000000000001	16.2		24.706249999999997	26.7
	14.262500000000003	14.4		25.462500000000002	26.1
	14.7125	12.8		27.55	22.4
	15.256249999999998	9.9		27.15	21.6
	15.537500000000001	9.7		25.656250000000004	21
	15.50625	11.4		26.00625	23.4
	14.69375	9.8		25.41875	21
	14.456249999999999	9.3		25.712499999999995	24.5
	14.450000000000001	12.2		25.5875	30.7
	14.781249999999998	15.1		24.91875	29
	15.0125	15.5		24.8375	22.8
	15.14375	12.7		25.243750000000002	26.8
	14.906249999999998	14.8		24.00625	34.1
	14.1875	19.1		23.8625	36.3
	13.893750000000002	17.6		24.85	35.3
	15.09375	16.1		25.487499999999997	25.5
	15.306249999999999	13.8		26.268749999999997	29.2
	15.375000000000002		17	25.331249999999997		34.4
	15.34375		17.9	25.06875		34.6
	15.0875		18.4	25.2875		32.5
	14.28125		19	24.33125		30.7
	14.00625		15.9	25.16875		27.2
	14.475000000000001		14.9	25.593749999999993		29
	14.825000000000001		16.3	25.3		30.2
	14.05625		16.9	24.650000000000006		33
	13.787500000000001		13.7	24.68125		24.3
	13.79375		14.4	24.718749999999996		25.1
	14.887500000000001		15.5	25.19375		25.3
	15.3		15	26.275000000000006		25.8
Aug.	15.337499999999999		15.3	25.6125		25.6
	14.65		14.7	24.53125		24.6
	14.274999999999999		14.4	24.406249999999996		24.6
	14.462499999999999		14.5	25.0125		25
	14.118749999999999		14.4	23.76875		24.2
	13.7625		14.3	24.474999999999998		25.6
	13.90625		14.1	25.8125		25.1
	14.30625		13.9	25.64375		24.7
	13.6		13.8	24.38125		24.8
	13.581249999999999		13.8	24.7125		25
	13.468750000000002		13.5	24.181250000000002		23.9
	13.974999999999998		14	24.637500000000003		24.2
	14.012500000000001		13.9	22.475		23.4
	13.25		13.6	22.756249999999998		23.3
	13.0375		13.6	23.906250000000004		23
	13.450000000000001		13.2	23.418750000000003		22.6
	13.062500000000002		12.8	22.049999999999997		21.8
	12.118749999999999		12	21.1875		21.6
	11.693750000000001		11.8	20.800000000000004		21.1
	11.85625			22.006249999999998
	12.087500000000002			23.65
	12.887500000000001			22.781250000000004
	12.350000000000001			23.0875
	12.3			21.3625
	11.56875			22.018749999999994
	11.575000000000001			21.90625
	11.793750000000001			21.625
	12.018749999999997			21.53125
	11.712500000000002			21.768749999999997
	11.6625			20.63125
	11.5			19.962499999999995
Sep.	11.2			20.031249999999993
	10.5375			19.837500000000002
	10.21875			19.125000000000004
	9.975			19.0875
	9.38125			18.7625
	9.21875			18.925
	8.6125			19.681250000000002
	7.81875			18.299999999999997
	8.53125			18.825
	8.84375			18.362499999999997
	9.2			18.24375
	8.9625			18.431250000000002
	9.3875			18.03125
	9.049999999999999			17.725
	8.293750000000001			17.674999999999997
	7.824999999999999			17.20625
	7.84375			17.1875
	7.699999999999998			17.3625
	8.11875			17.531249999999996
	7.21875			15.987499999999999
	7.49375			15.68125
	7.6			15.475000000000001
	8.01875			15.675000000000002
	7.893750000000001			15.131250000000001
	6.66875			15.925
	7.59375			15.943750000000001
	6.8812500000000005			15.58125
	6.0125			14.668749999999998
	6.1125			15.0625
	5.8374999999999995			14.8
Okt.	6.05625			14.025
	6.456250000000001			13.912500000000001
	6.131249999999999			14.76875
	5.95625			15.3
	6.2562500000000005			14.143749999999999
	7.018750000000001			14.412500000000001
	6.468750000000001			14.162499999999998
	5.7124999999999995			13.15
	5.6375			13.637500000000003
	6.406249999999998			13.0375
	6.7125			13.7125
	6.362500000000001			13.975
	5.6937500000000005			12.63125
	5.1			11.912500000000001
	4.26875			12.6625
	4.8			12.331249999999999
	4.987500000000001			12.7625
	5.1375			12.512500000000001
	5.1937500000000005			12.343749999999996
	5.075			11.687500000000002
	5.231249999999999			11.7875
	4.7625			10.90625
	4.4875			10.9875
	4.3875			10.525000000000002
	4.375			10.212499999999999
	3.8125000000000004			10.23125
	3.125			9.568750000000001
	2.75			8.981250000000001
	3.35625			9.418750000000001
	3.1062499999999997			9.7625
	2.9437499999999996			9.106250000000001
Nov.	3.19375			8.906250000000002
	1.85			7.73125
	2.1937500000000005			7.406250000000001
	2.4749999999999996			7.25625
	2.1750000000000003			7.375
	1.8187500000000003			6.71875
	0.8874999999999997			6.29375
	0.4062500000000001			5.7250000000000005
	0.7812500000000002			6.393750000000001
	1.25625			6.556250000000001
	0.31875			5.5375
	0.275			5.5562499999999995
	0.1			4.89375
	0.018750000000000128			4.999999999999999
	-0.43749999999999994			4.550000000000001
	-0.6499999999999998			3.8312500000000003
	-0.6625000000000001			4.29375
	-1.3812499999999999			3.7
	-2.2			2.89375
	-1.7875			3.5875
	-0.95			4.01875
	-0.16249999999999987			3.4999999999999996
	0.35624999999999996			4.718749999999999
	-0.3312499999999999			4.375
	-0.32499999999999996			4.1499999999999995
	-0.9062500000000002			3.8750000000000004
	0.4437499999999999			4.03125
	-0.16250000000000014			3.8812499999999996
	-0.8750000000000004			3.8187499999999996
	-0.3937500000000001			3.75
Dez.	-0.3937499999999998			4.24375
	-0.3499999999999999			4.3187500000000005
	0.26875			4.9125
	-0.5000000000000001			4.781249999999999
	-0.018750000000000322			4.94375
	0.30000000000000004			5.2375
	0.50625			4.9625
	1.1624999999999999			5.6187499999999995
	2.45			6.98125
	2.44375			6.612499999999999
	1.5124999999999997			6.062500000000001
	0.46249999999999997			5.0625
	0.08125000000000004			4.818749999999999
	-1.1937499999999999			3.95
	-0.9375000000000003			3.5937500000000004
	-1.11875			4.31875
	0.5066666666666668			5.3933333333333335

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

37°C

Höchste Temperatur

27 Jun. 26

-10°C

Niedrigste Temperatur

6 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust27.35°C

Kältester MonatJanuar-3.59°C

Nassester MonatJuni2.97mm

Windigster MonatFebruar16.67km/h

Nuremberg 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 Nuremberg?

Juli ist historisch gesehen der heißeste Monat in Nuremberg, mit durchschnittlichen Höchsttemperaturen von etwa 25°C. Während der stärksten Hitzewellen wurden Temperaturen von 37°C am 2026-06-27 erreicht.

2. Was ist der historisch kälteste Monat in Nuremberg?

Januar ist der kälteste Monat in Nuremberg, mit durchschnittlichen Tiefstwerten von etwa -2°C. Der Allzeit-Rekordtiefstwert von -21°C wurde am 2012-02-05 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Nuremberg beträgt etwa 769.04mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Nuremberg verzeichnet historisch gesehen etwa 205.8 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 17.1 Tagen.

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

Die höchste jemals in Nuremberg gemessene Temperatur beträgt 37°C am 2026-06-27.

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

Die niedrigste jemals in Nuremberg gemessene Temperatur beträgt -21°C am 2012-02-05.

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

Nuremberg erlebt seine stärksten Winde während Februar. Der historische Böenrekord von 48.5 km/h wurde am 2015-03-31 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Nuremberg im Januar etwa 87.3% und fällt im Juli auf etwa 68.1%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Nuremberg 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

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

Nuremberg 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

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