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

Prum Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.7562500000000001	-1.5		4.2124999999999995	-0.2
	-0.3187500000000001	-5.4		4.3374999999999995	-1.6
	0.07500000000000012	-4.9		3.9812499999999997	-3
	-0.41875000000000023	-7.6		3.1	-3.1
	-1.3562499999999997	-11.8		3.3562499999999997	-3.8
	-1.3687500000000006	-9.4		3.1437500000000007	-2.7
	-1.15625	-8.6		3.05	-2.5
	-0.15624999999999994	-2.2		3.3499999999999996	0.7
	-1.225	0.1		3.5062499999999996	3.5
	-1.55625	-9.7		2.7187499999999996	-1.1
	-2.19375	-13.9		2.8499999999999996	-3.9
	-1.5187499999999998	-3.1		3.0874999999999995	3.6
	-0.9875	2.5		3.275	4.5
	-1.6187500000000004	4.6		2.56875	5.8
Jan.	-1.4625000000000004	5.1		2.4375	6.2
	-2.36875	5		1.8124999999999998	6.8
	-3.0625	2.7		1.5	8.2
	-3.6999999999999993	-0.5		1.1624999999999999	4.3
	-3.7937499999999997	-0.2		0.95625	6.9
	-4.374999999999999	-1.3		0.5562499999999999	6.2
	-4.15625	-2.3		1.6375000000000002	4.9
	-3.0562500000000004	2		1.6562499999999998	4.3
	-2.3749999999999996	2.7		1.65625	4.9
	-2.30625	-0.6		2.15625	4.4
	-2.3999999999999995	-1		2.1999999999999997	3.7
	-2.1562499999999996	-2.7		1.9937500000000004	-0.1
	-1.7187499999999998	-0.6		2.96875	3.8
	-1.5250000000000001	1.5		3.29375	3.3
	-1.33125	-0.3		3.19375	1.9
	-1.3937499999999998	-3		3.1937499999999996	1.9
	-2.2125	1.9		2.3625	4.9
	-1.89375	0.6		2.8687499999999995	4.9
	-1.4187499999999997	1.3		3.56875	3.5
	-0.80625	-0.5		3.1750000000000003	4.4
	-1.33125	0.4		3.23125	5.9
	-1.2937500000000002	0.7		3.3124999999999996	3.6
	-1.3312500000000003	2.2		2.9374999999999996	4.9
	-2.3125	2.9		2.93125	6.4
	-2.6125	2.2		3.2624999999999997	8.7
	-3.4	0.9		2.65	5.5
	-2.975	1.5		2.1374999999999997	4.7
	-3.23125	5.4		1.8750000000000002	7
	-3.59375	4.7		1.90625	6.2
	-3.875	-0.6		2.7875	4.2
	-2.0999999999999996	-5.6		4.5	0.2
Feb.	-0.50625	-5.5		5.231249999999999	0.2
	-0.4125000000000003	0.8		5.5625	2.7
	-0.7937500000000002	-3		5.468749999999999	1
	-0.6624999999999999	-3.4		5.33125	1.1
	-1.4374999999999996	0.8		4.4	3.4
	-0.3687500000000003	0.2		5.45625	4.1
	0.27499999999999997	3.7		6.1000000000000005	8.1
	0.2812500000000004	7.2		6.112500000000001	8.9
	-0.21250000000000013	5.3		5.7749999999999995	8.1
	0.2875	5.9		5.98125	9.3
	-0.35000000000000003	5.8		5.731250000000001	13
	-1.0874999999999997	7.4		4.8999999999999995	14.4
	-1.59375	7.3		4.925000000000001	13.8
	-1.70625	4.6		4.91875	9
	-1.01875	1.8		5.1125	9.3
	-1.43125	2.9		5.956250000000001	10.9
	-0.6249999999999999	4.5		6.9624999999999995	12.7
	-0.5499999999999999	5.3		6.56875	13.3
	-0.7187500000000001	5.4		5.581249999999999	13.3
	-0.6875000000000001	6.7		6.025	15.1
	-0.7999999999999999	6.8		6.06875	14.8
	-0.7312500000000002	5.4		7.475	14.2
	0.55	6.4		7.63125	14.4
	0.18125000000000013	6.4		7.9937499999999995	11.8
	0.13749999999999996	3.2		7.156250000000001	6.8
	0.33125000000000016	1.5		7.118750000000001	8.6
	0.03125000000000014	1.9		7.1187499999999995	6.6
	-0.10625000000000007	-0.6		7.04375	2.2
Mär.	0.025000000000000022	-1.4		7.375	3.9
	1.2624999999999997	1.5		8.88125	5.5
	0.65625	2.4		7.4937499999999995	10.8
	0.65625	2.3		8.375000000000002	9.7
	1.2875000000000003	2.9		8.8125	11.3
	1.125	3.5		9.3	10.8
	0.9375	3.9		9.13125	10.6
	1.06875	1.5		8.7625	10.8
	1.2625	3.2		9.850000000000001	10.4
	1.5125	4.2		9.65625	12.1
	1.5437500000000002	-0.5		9.04375	7.3
	0.7437500000000001	-3.2		8.106250000000001	1.9
	0.1875	-3.4		9.4125	6.1
	1.41875	-1.2		10.26875	2.8
	2.6375	-3.4		10.900000000000002	5.4
	2.3125	1		10.5125	4.7
	2.43125	-1.7		10.35625	4.5
	1.4625000000000001	-0.6		8.6625	9.3
	0.7250000000000001	-0.3		9.068750000000001	9
	1.1687500000000002	-0.7		9.425000000000002	10.5
	1.85	6.5		9.475	11.1
	1.09375	4.5		9.49375	11.3
	1.4875	0.5		10.512500000000001	12.3
	2.7312499999999997	3.1		12.2	15.5
	2.925	3.3		11.093750000000002	18.1
	2.7625	5.3		12.337500000000002	19.4
	2.7687500000000003	3.6		12.05625	10
	2.84375	3.6		11.793750000000001	17.2
	2.79375	1.1		11.68125	9.8
	3.275	4.5		11.524999999999997	7.7
	2.3812499999999996	1.9		12.475	13.9
Apr.	2.69375	3.5		11.84375	14.2
	2.375	7.4		11.406250000000002	15.3
	2.3874999999999997	6.4		11.912500000000001	17.3
	2.675	7.6		12.300000000000002	16.7
	3.3687499999999995	3.9		13.08125	12.6
	3.6625	2		13.243749999999999	9.7
	3.3375	1.3		13.306250000000002	10.9
	3.8125000000000004	2.2		13.368750000000002	13.2
	3.6625	2.8		13.50625	16.3
	3.0062499999999996	1.8		13.818750000000001	16.1
	4.025	2.7		12.443750000000001	17.1
	2.53125	3.1		11.74375	16.6
	2.5624999999999996	4.6		11.5875	16.9
	3.46875	5.5		12.862500000000002	17.1
	4.28125	4.4		13.824999999999998	15.1
	4.4	3.1		13.1875	14.5
	4.55	5.4		13.63125	18.7
	4.36875	7.1		13.593750000000002	19.4
	4	10.1		12.825	14.2
	3.5187500000000003	7.1		12.537499999999998	14.4
	3.26875	9.3		13.368749999999999	13.7
	4.2875	6.1		13.793749999999998	9.6
	5.6499999999999995	5		14.081250000000004	12.3
	6.0874999999999995	5.7		15.375	14.1
	6.7749999999999995	5.4		16.356250000000003	18.2
	6.6625000000000005	7.6		15.856250000000003	17.3
	6.86875	1.3		15.6375	10.6
	6.168750000000001	-1.6		15.106250000000001	8.8
	5.24375	4.3		14.31875	9.3
	4.9125000000000005	2.5		14.506250000000001	8.1
Mai	5.03125	1.6		13.89375	11.6
	4.73125	-1.5		13.468750000000002	10.7
	5.46875	1.8		13.8125	10.3
	4.9624999999999995	5.1		15.16875	14
	6.174999999999999	5.1		15.831249999999999	12
	6.80625	9.4		16.31875	14.4
	7.081250000000001	6.9		16.525000000000002	18.3
	7.612499999999999	8.9		16.793749999999996	22.1
	7.581250000000001	12		16.24375	25.3
	6.89375	14.1		15.325	26.4
	6.593749999999999	12		15.79375	25.3
	7.45625	13.8		15.9875	26.2
	7.512499999999998	13.7		16.706249999999997	24.4
	7.91875	10.5		17.243750000000002	24.6
	7.15	12.8		16.6875	26.2
	7.9125000000000005	15.1		17.19375	26.1
	8.3	13.2		17.53125	19.8
	8.475	8.9		17.1875	19.3
	8.599999999999998	9.7		18.20625	17
	9.19375	8.4		18.837500000000002	15.9
	9.256250000000001	9		19.4125	14.1
	9.325	6.4		18.931250000000002	14.6
	8.725000000000001	7		17.974999999999998	18.2
	8.799999999999999	6		17.856250000000003	17.7
	9.149999999999999	8.8		18.193749999999998	17.4
	9.35	7.3		18.4875	15.4
	9.668750000000001	5.3		19.043750000000003	13.4
	9.843749999999998	3.9		18.812499999999996	14.2
	9.425	9.1		17.80625	14.2
	8.65	9.4		18.6	18.9
	9.21875	7		19.40625	14.9
Jun.	9.975	4.2		18.974999999999998	18.4
	9.687499999999998	10.4		18.337499999999995	23.5
	10.01875	11.7		19.968750000000004	22.9
	11.44375	15		20.79375	27.3
	10.987499999999997	17.6		19.718750000000004	30.1
	10.39375	16.2		18.637500000000003	29.5
	9.94375	17.4		18.962500000000002	29.6
	10.425	18.2		19.481250000000003	29.6
	9.73125	17.2		18.45625	29
	10.125	17.9		20.04375	31.9
	11.506249999999998	20		20.531249999999996	33
	11.243750000000002	18.2		20.431250000000002	34.7
	11.14375	17.7		21.25625	34.9
	11.8125	18.6		21.237499999999997	30.5
	12.187500000000002	15.4		20.868750000000002	25.6
	11.056249999999999	13.6		20.98125	24.9
	11.4	12		19.849999999999998	23.1
	10.943750000000001	11.4		21.0875	24.3
	10.075000000000001	7.5		20.1875	22.4
	10.60625	8.3		20.750000000000004	24.9
	11.31875	13.8		20.73125	22
	10.75	12		20.4375	27.1
	10.668750000000001	14.5		20.387499999999996	27.2
	9.98125	13.5		19.66875	24.1
	11.04375	12.7		20.118750000000002	27.6
	11.275	13.2		21.18125	28.9
	11.762500000000001	13.7		21.037499999999998	30.1
	11.068750000000001	14.5		20.25625	30.1
	10.737499999999999	15.7		19.268749999999997	30.3
	11.06875	17.1		19.51875	29.5
Jul.	10.693750000000001	14.8		19.212500000000002	27.9
	10.737499999999999	14.2		20.706250000000004	28.2
	11.131250000000003	13.7		20.6375	26.1
	12.024999999999999	11		22.356250000000003	23.9
	13.1125	8.2		23.687499999999996	21.7
	12.906249999999998	5.7		22.4375	20.1
	12.581249999999999	7.8		21.593749999999996	22.8
	12.5375	8.8		21.262500000000003	21.7
	11.937500000000002	6.4		21.18125	22.3
	12.40625	8.6		21.506249999999998	25.9
	11.975	13		21.2125	28.3
	12.556249999999999	12.6		21.537500000000005	22.3
	13.00625	10.7		20.5375	24.7
	12.231250000000001	11		20.0375	29.3
	11.6875	16.1		20.006250000000005	34
	11.0125	17.5		19.943749999999998	34.4
	11.631249999999998	16.5		20.474999999999998	29.4
	12.350000000000001	12.5		21.71875	25.1
	12.656250000000002	13.3		22.51875	29.5
	13.124999999999996	16.8		21.15625	34.4
	12.7125	16.5		21.087500000000002	31.6
	11.531249999999998	16		20.025	28.4
	11.206250000000002	10.8		20.756250000000005	22.8
	11.81875	8.2		21.637500000000003	23.2
	11.693750000000001	10		19.956249999999997	27.3
	11.775000000000002	15.4		20.987499999999997	30.8
	11.525	15.2		20.425	28.6
	11.3375	10.4		21.112500000000004	26.4
	11.9875	11.5		21.431249999999995	30.3
	12.818750000000001	14.8		22.393749999999997	33.2
	12.45625	17.8		22.775	35.5
Aug.	13.106250000000001		18.6	20.737500000000004		34.7
	11.9875		14.5	20.943749999999998		26.5
	11.931250000000002		13.1	19.50625		22.6
	11.9		14.8	20.3375		25.7
	11.325000000000001		11.6	20.18125		28.5
	10.90625		10.1	21.09375		23
	11.818750000000001		11.4	22.193749999999998		23.1
	11.95		8.8	21.19375		20.9
	11.806250000000002		11.8	21.418749999999996		21.7
	11.312499999999998		11.7	20.43125		21.1
	11.306249999999999		11.2	20.999999999999996		20.7
	11.931249999999999		11.8	20.525000000000002		20.3
	11.30625		11.3	19.21875		20.2
	10.8125		11.1	20.231249999999996		19.9
	10.99375		10.7	19.918750000000006		19.5
	11.062499999999998		10.4	19.818749999999998		19.2
	10.31875		10.4	18.849999999999994		19
	9.30625		9.3	17.45625		18
	9.45625		9.5	19.062500000000004		19.2
	10.106250000000001		10.6	19.53125		19.3
	10.98125		11	20.14375		19.3
	11.325000000000001		10.8	19.98125		19.6
	10.637500000000001		9.9	19.8125		19.5
	9.937499999999998		9.9	18.356250000000003		19.5
	10.043750000000001		10.6	19.112500000000004		19.5
	10.243750000000002		10.5	18.6875		18.5
	10.56875		10.2	18.36875		18.2
	10.075		9.8	18.662500000000005		18.2
	9.825		9.6	18.3375		18
	9.674999999999999		9.7	16.78125		16.9
	9.393749999999999		9.5	17.368750000000002		17.2
Sep.	9.125			17.656250000000004
	8.774999999999999			17.66875
	8.76875			16.925
	8.799999999999999			16.806250000000002
	8.2125			16.59375
	8.68125			17.18125
	7.58125			16.6
	7.4750000000000005			16.70625
	7.43125			16.25625
	7.325			15.893749999999997
	7.656250000000001			15.4625
	7.768749999999999			14.918749999999998
	7.612499999999999			15.33125
	7.349999999999999			15.38125
	7.6375			15.025
	6.46875			14.80625
	6.668749999999999			15.3
	6.968749999999999			14.81875
	6.95625			14.168750000000001
	7.712499999999999			14.625
	7.275000000000001			13.73125
	6.731250000000002			13.31875
	6.262500000000001			13.293750000000001
	7.200000000000001			13.499999999999998
	6.5874999999999995			14.18125
	6.86875			14.137500000000001
	5.7749999999999995			13.29375
	5.1812499999999995			12.88125
	6.15			12.656249999999998
	5.06875			12.55625
Okt.	5.15625			11.93125
	5.7437499999999995			11.98125
	6.475000000000001			12.65625
	6.275			12.93125
	7.0375000000000005			13.668750000000001
	7.1187499999999995			12.21875
	5.824999999999998			12.099999999999998
	5.9125			11.656250000000002
	5.4875			12.681249999999999
	5.71875			11.918750000000001
	6.168749999999999			11.456249999999997
	6.26875			11.731250000000001
	5.0249999999999995			10.94375
	4.581249999999999			10.60625
	5.2625			11.0875
	4.90625			10.55625
	5.143750000000001			11.7375
	5.44375			11.831249999999999
	5.324999999999999			10.875000000000002
	4.99375			10.306249999999999
	4.531250000000001			10.181250000000002
	3.8812499999999996			9.887500000000001
	4.19375			9.718750000000002
	4.275			9.025
	3.8375			8.9
	3.7125000000000004			8.649999999999999
	3.44375			8.787500000000001
	2.9250000000000003			9.000000000000002
	3.3875			8.70625
	3.2937500000000006			8.7125
	2.73125			8.09375
Nov.	2.625			7.800000000000001
	1.7500000000000002			7.156249999999999
	2.0374999999999996			6.9937499999999995
	2.2625			6.4625
	2.0437499999999997			6.38125
	0.6124999999999999			5.94375
	0.1937499999999998			5.1
	0.13124999999999998			4.956249999999998
	1.0875000000000001			6.31875
	0.8000000000000002			6.21875
	0.8875000000000001			5.5375000000000005
	0.5687500000000001			4.943750000000001
	0.6375			4.9875
	0.1624999999999999			4.581250000000001
	-0.5937499999999999			4.325000000000001
	-0.7625			3.95
	-1.0625			3.3499999999999996
	-1.8312499999999998			3.13125
	-1.5750000000000002			2.9937500000000004
	-1.5062499999999999			3.28125
	-0.8124999999999999			3.2125
	-0.65			3.75
	-0.28749999999999987			4.18125
	-0.06249999999999989			4.275
	-0.93125			3.3625000000000003
	-0.9812500000000001			3.4499999999999997
	-0.012500000000000067			3.5125
	-1.075			3.1374999999999997
	-1.5812499999999998			2.95625
	-1.5437500000000002			2.8937500000000003
Dez.	-0.6749999999999999			4.25625
	0.56875			5.2124999999999995
	1.25625			4.968749999999999
	0.8749999999999998			4.73125
	1.55625			5.5687500000000005
	1.1124999999999998			5.225
	1.2125000000000004			4.799999999999999
	2.3625			5.843750000000001
	2.3375			6.16875
	2.1125000000000003			5.7625
	0.7750000000000001			4.799999999999999
	0.49375			4.956250000000001
	0.22500000000000003			4.656249999999999
	-0.062499999999999944			3.9187499999999997
	-0.7562500000000001			4.19375
	0.04375000000000007			4.525
	1.5733333333333335			5.76

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

36°C

Höchste Temperatur

14 Aug. 26

-14°C

Niedrigste Temperatur

11 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust29.08°C

Kältester MonatJanuar-2.02°C

Nassester MonatFebruar3.58mm

Windigster MonatFebruar21.43km/h

Prum 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 Prum?

August ist historisch gesehen der heißeste Monat in Prum, mit durchschnittlichen Höchsttemperaturen von etwa 21°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2019-07-25 erreicht.

2. Was ist der historisch kälteste Monat in Prum?

Januar ist der kälteste Monat in Prum, mit durchschnittlichen Tiefstwerten von etwa -2°C. Der Allzeit-Rekordtiefstwert von -17°C wurde am 2012-02-07 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Prum beträgt etwa 1107.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Prum verzeichnet historisch gesehen etwa 231.2 Regentage pro Jahr. Januar hat die meisten Regentage mit durchschnittlich 21.3 Tagen.

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

Die höchste jemals in Prum gemessene Temperatur beträgt 36°C am 2019-07-25.

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

Die niedrigste jemals in Prum gemessene Temperatur beträgt -17°C am 2012-02-07.

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

Prum erlebt seine stärksten Winde während Februar. Der historische Böenrekord von 59.9 km/h wurde am 2010-02-28 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Prum im Januar etwa 91.4% und fällt im August auf etwa 77.4%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Prum 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

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

Prum 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

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