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

Rothenklempenow Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.025	-0.5		5.456250000000001	3.4
	0.7000000000000001	-1.6		4.825000000000001	3
	-0.24375000000000008	-5.3		3.70625	-0.6
	-0.32499999999999984	-6		3.85625	-1.4
	-1.0062499999999999	-4.9		2.3187499999999996	-0.5
	-1.9437499999999996	-7.5		2.4187499999999997	-2.9
	-1.5500000000000003	-7.9		2.5124999999999997	-3.1
	-0.7999999999999999	-9		2.8562499999999997	-4.3
	-0.18124999999999997	-8.5		3.2625	-4.9
	-0.29375	-8.5		3.1187500000000004	-1.3
	-0.8812500000000002	-7		2.7687500000000003	-0.8
	-0.53125	-8.9		3.01875	-3
	-0.4249999999999998	-3		3.15	-0.6
	-1.03125	-0.6		3.0812500000000003	3.6
Jan.	-0.9187500000000005	-0.9		3.2687500000000003	2
	-0.46875	0.7		3.0562500000000004	4.4
	-1.4437499999999999	-1.9		3.03125	0.9
	-2.4124999999999996	-2.7		1.76875	1.2
	-2.05	-2.8		1.4625	1.5
	-2.125	-3.5		1.5625	2.2
	-2.4125	-3.3		1.0750000000000002	2.1
	-2.9187499999999997	-5.3		1.2687499999999998	-0.5
	-3.5749999999999993	-6.1		0.5062500000000001	-2.5
	-3.1062499999999997	-1.9		1.5437500000000002	-0.4
	-2.0375000000000005	-3.7		1.775	-0.1
	-2.7	-0.2		1.0875000000000001	0.6
	-2.0562500000000004	-2.3		3.0000000000000004	0.8
	-0.9937500000000001	-3.2		3.3499999999999996	0.6
	-1.2125	-3.5		3.3812499999999996	-0.4
	-1.33125	-4.4		3.2375000000000003	-0.4
	-1.875	-7.5		2.45	-3.4
	-1.3000000000000003	-9.8		2.99375	-5.7
	-1.3124999999999998	-10.7		2.9375	-6.3
	-0.8687499999999995	-9.7		3.1124999999999994	-4.3
	-1.2562500000000003	-8.2		3.15625	-3.5
	-1.4500000000000002	-4.9		2.6625000000000005	0.1
	-1.8687500000000001	-0.1		2.7687500000000003	1.8
	-2.2062500000000003	-1.2		2.7562499999999996	1.4
	-2.2312500000000006	-1.3		2.6	0.7
	-1.6874999999999998	-4.4		3.1000000000000005	-0.9
	-2.243750000000001	-5		2.99375	1.6
	-2.03125	0.3		2.8937500000000003	1.8
	-2.3874999999999997	2		2.64375	3.9
	-1.5999999999999996	-0.5		3.7312499999999993	4.3
	-1.8750000000000004	-2.9		3.81875	0.7
Feb.	-1.4437499999999994	-4.2		4.6125	0.3
	-0.28125	-5.3		5.675	0.5
	0.11875000000000002	-4		5.531249999999999	1.1
	0.21250000000000013	-4.4		5.1312500000000005	-0.1
	0.325	-4.9		4.94375	1
	0.2250000000000002	-4.3		5.1875	0.6
	0.5125000000000004	-1.7		5.93125	5.2
	-0.30624999999999997	2.7		6.168750000000001	8.3
	-0.2624999999999999	5.1		5.8374999999999995	9
	-0.15624999999999994	2.4		6.1375	7.1
	0.01874999999999999	1.7		6.0375	7.7
	-0.062499999999999944	0.7		5.556250000000001	11.9
	-0.19374999999999992	6.8		6.2250000000000005	15.1
	-0.15000000000000002	7.2		5.79375	16.5
	-0.525	3.9		6.1187499999999995	9.6
	-0.12499999999999994	2.1		6.425000000000001	12
	-0.39375	3.5		6.96875	13.3
	0.11249999999999978	0.9		7.249999999999999	9.1
	0.018750000000000044	0.7		6.6875	10.9
	-0.6437499999999998	1.2		6.86875	12.8
	0.3125	2.9		6.724999999999999	13.3
	-0.5999999999999999	5.7		6.981250000000001	14.3
	-0.26250000000000007	3		7.937500000000001	14.9
	0.24375000000000008	4.5		7.98125	14.4
	0.9375000000000001	6.5		7.3999999999999995	15.5
	1.0625000000000002	5.9		7.643750000000001	12.1
	1.4562499999999998	6.2		8.912500000000001	14.3
	1.2374999999999998	6		7.66875	15.5
Mär.	1.1937499999999999	4		7.481250000000001	6.6
	0.60625	2.3		7.5687500000000005	7.3
	1.0625	-0.4		8.73125	9.4
	0.8812499999999999	0.5		8.65625	12.5
	0.9687499999999998	3.5		9.125	13
	0.9749999999999999	3.1		9.41875	11.8
	2.10625	1.8		10.106250000000001	11.4
	2.3375	1.6		9.912500000000001	12.7
	2.35	2.7		9.84375	13.2
	0.7999999999999999	4.9		10.168750000000001	13.8
	1.8812499999999999	3.1		10.63125	11
	2.0125	1.3		9.6625	7.9
	0.8750000000000001	-2		10.368749999999999	8.9
	2.56875	-0.5		11.6375	10.5
	3.83125	0.5		11.5875	9.6
	2.8374999999999995	1.7		11.299999999999999	6.9
	3.1999999999999993	1.4		11.443749999999998	6.4
	2.56875	1.2		10.299999999999999	11.2
	1.6062500000000002	2.6		10.70625	11.5
	2.3812500000000005	3.1		11.8375	10.2
	2.8625	5.1		11.756250000000001	11.8
	3.4625	5.2		10.79375	15.2
	2.7124999999999995	4.4		11.862500000000002	11.2
	3.900000000000001	2.6		13.293750000000001	10
	4.3625	1.4		12.899999999999999	9.7
	3.4812499999999997	0.6		12.931249999999999	8.3
	3.65	-0.4		13.312500000000004	9.5
	4.29375	0.9		12.8375	11.4
	4.143750000000001	3.9		12.999999999999998	11
	5.28125	7.8		13.543750000000001	12.8
	4.8812500000000005	6.6		12.618749999999999	15.2
Apr.	4.075	3.4		13.293750000000001	13.9
	4.0875	7.9		13.243750000000002	15.9
	4.425000000000001	5.7		14.087499999999999	14.9
	4.2	5.8		14.89375	16.4
	3.8375	7.9		14.05625	15.4
	4.393749999999999	4.5		15.056249999999997	12.7
	4.8062499999999995	3		15.2	10.9
	4.850000000000001	2.4		15.518750000000002	15.3
	5.424999999999999	4		14.825000000000001	14.2
	5.21875	3.8		15.418750000000003	16.1
	5.38125	4.6		15.637499999999998	13.3
	5.287499999999999	3.4		15.331250000000002	10.4
	4.768750000000001	2.4		14.45	12.7
	5.51875	2.2		16.5625	12.3
	6.593749999999999	1.8		17.50625	12.2
	6.36875	3.7		17.018750000000004	16.7
	5.725	6.9		16.6125	19
	6.275000000000001	8.8		16.09375	23.6
	5.406250000000001	12.1		15.518749999999999	24.2
	5.562500000000001	10.1		15.312500000000004	18.4
	6.137500000000001	9		15.687500000000004	12.3
	5.768749999999999	6.4		15.49375	9.2
	6.5875	5.5		16.037499999999994	11.6
	6.156249999999999	4.1		16.81875	12.2
	7.45625	4.6		18.85625	15.5
	8.48125	6.5		19.03125	16.5
	8.9	7.8		19.55	17.4
	8.656249999999998	4.4		19.4375	12.6
	7.5875	3.5		17.362500000000004	12.3
	7.6812499999999995	6.1		16.775	11.5
Mai	7.081249999999999	4.4		16.25625	14.3
	7.5125	4.8		16.8125	13.5
	8.74375	4.7		17.3625	16.3
	7.9750000000000005	7.3		17.66875	15.9
	9.293750000000001	5.7		19.624999999999996	16.8
	9.725	9.8		20.2125	19.9
	10.11875	9.7		20.9125	19
	9.818749999999998	10.1		20.931250000000002	19.2
	10.093749999999998	12.5		20.7625	24.3
	10.13125	12.9		19.912499999999998	20.9
	9.631249999999998	11.1		18.41875	22.3
	9.525	12.6		19.39375	25.3
	9.30625	9.9		19.5125	18
	9.33125	7.7		19.406249999999996	18.4
	9.53125	8.3		19.0875	22.9
	9.61875	13.5		21.2125	20.4
	10.44375	10.7		20.9375	18.9
	11.149999999999999	10.7		19.81875	19.1
	10.493749999999999	11.7		20.500000000000004	22.8
	10.73125	13.9		21.85625	18
	10.9875	11.3		21.975	21.6
	11.275000000000002	13.1		23.44375	19.4
	12.39375	11		23.312499999999996	21.6
	11.475000000000001	13.3		22.05625	19.7
	11.73125	11		22.793750000000003	21
	12.31875	11		23.437500000000004	17.9
	12.5625	9.4		22.65625	19.2
	11.8375	10.3		23.3375	16.4
	11.96875	8.5		21.593749999999996	18.7
	11.706249999999997	10.7		20.831250000000004	18.9
	11.65625	10.7		21.143749999999997	15.5
Jun.	11.66875	11.4		21.7625	17.9
	11.075000000000001	9.7		21.181250000000002	18.1
	12.237499999999999	8.8		22.893749999999997	20.7
	13.40625	16.2		23.9875	23.6
	13.45	15.6		23.499999999999996	25.2
	13.00625	18		22.537500000000005	29.5
	12.518749999999999	16.7		21.95	26.1
	12.643750000000002	14.2		22.425	22.4
	12.712500000000004	11.4		21.81875	23.6
	12.612500000000002	13.5		21.881249999999998	27.3
	13.00625	17.8		22.849999999999998	28.2
	13.5375	15.7		24.468750000000004	29
	13.23125	18.9		23.275000000000002	34.2
	13.287499999999998	20.7		24.70625	31.7
	13.99375	18		24.818749999999998	25.7
	13.806250000000002	16.1		23.61875	24.9
	13.193750000000001	15.5		23.406250000000004	22.8
	13.45	14.2		23.037499999999998	26.4
	13.18125	14.3		23.993749999999995	21.1
	13.700000000000001	13.3		24.04375	22
	14.512499999999998	14.1		24.2125	21.4
	13.34375	10.9		23.23125	17.7
	13.493749999999999	13.4		23.225	19.3
	13.35625	12.4		23.05625	21.4
	13.60625	11.7		24.006249999999994	23.1
	14.225	13.4		23.431250000000002	23
	14.5375	13.8		24.46875	22.8
	14.89375	16.1		23.668749999999996	25.6
	14.456249999999999		15.9	23.474999999999998		24.3
	13.80625		14.2	22.90625		24.8
Jul.	13.656249999999996		13.3	23.062500000000004		25.2
	13.91875		14.3	23.70625		27.6
	14.125		15.2	23.468750000000004		33.3
	14.33125		18	23.849999999999998		23.7
	14.218750000000002		15.1	24.5		25.9
	14.775000000000002		15.7	25.38125		27.3
	15.1125		14.7	24.84375		24.7
	14.681250000000002		14.8	24.48125		24.4
	14.450000000000001		14.6	23.3		24
	14.118749999999999		14.6	24.462499999999995		24.6
	15.55625		15.3	24.993750000000002		25
	14.787500000000001		15.1	24.725		24.3
	15.431249999999999		15.3	25.225		25.4
	15.743749999999999		15.9	24.843749999999996		24.7
	15.618749999999997		15.1	24.437499999999996		23.6
	14.99375		14.8	23.7375		24.3
	14.624999999999998		14.5	23.256249999999998		23.4
	14.450000000000001		14.5	24.55625		24.8
	14.787500000000003		15.1	25.0875		25.5
	15.550000000000002		15.5	25.8625		24.9
	15.731250000000001		16	24.931250000000002		25
	15.0375		14.8	23.75625		23.9
	14.85		14.8	24.343750000000004		24.7
	14.812499999999998		15	24.85625		25.3
	15.468749999999998		16.1	25.243750000000006		25.3
	15.39375		14.9	24.987499999999997		24.5
	14.312500000000002		14.2	23.837500000000002		24
	14.3625		14.3	23.80625		23.6
	14.2625		14.1	23.91875		23.9
	14.393749999999999			24.856249999999996
	14.731249999999998			25.3
Aug.	15.45			25.781249999999996
	15.200000000000001			24.7375
	14.781250000000004			24.968749999999993
	15.331249999999997			24.506249999999998
	15.037500000000001			24.14375
	14.05			23.037499999999998
	13.799999999999999			24.06875
	14.075000000000001			23.868749999999995
	13.906250000000002			23.374999999999993
	13.93125			23.73125
	13.956250000000002			23.356250000000003
	13.65			23.662499999999998
	14.24375			23.275
	13.68125			22.68125
	13.4125			22.89375
	14.04375			22.375000000000004
	13.975			22.61875
	12.6625			21.375
	11.893749999999999			20.7
	12.0625			21.75
	12.781250000000002			22.5375
	13.312500000000002			22.287500000000005
	12.54375			21.737499999999997
	12.33125			21.612499999999994
	12.137500000000001			21.28125
	12.762500000000001			21.793750000000003
	13.04375			22.268749999999997
	13.0625			22.19375
	13.168750000000003			21.768750000000004
	11.893749999999999			19.787500000000005
	12.15625			19.531249999999996
Sep.	11.99375			20.487499999999997
	11.8375			19.48125
	11.262500000000001			20.19375
	10.96875			19.6375
	11.01875			19.84375
	10.625			19.462500000000002
	10.312500000000004			20.05625
	9.481250000000001			18.437500000000004
	9.374999999999998			18.10625
	9.462499999999999			18.618750000000006
	10.075000000000001			17.9
	10.193750000000001			18.6375
	11.056249999999999			18.48125
	9.737499999999999			17.2875
	9.543750000000003			16.93125
	8.631250000000001			17.031249999999996
	8.4625			16.5375
	8.38125			16.08125
	8.96875			16.7875
	9.106250000000001			16.19375
	8.78125			15.781249999999998
	8.568749999999998			15.74375
	8.14375			14.80625
	7.606249999999999			14.125
	7.625			14.793750000000001
	7.818750000000001			14.875000000000002
	8.256250000000001			14.75625
	7.425			14.05
	6.618750000000001			14.387500000000001
	7.212500000000001			13.687500000000002
Okt.	7.8375			13.74375
	7.43125			13.4125
	6.918749999999999			13.825
	6.725			13.5
	6.3375			13.35625
	7.0375000000000005			13.4125
	7.175			13.63125
	7.987499999999998			13.599999999999998
	7.55			13.675
	7.1625			13.037499999999998
	7.0062500000000005			12.35
	7.26875			12.875
	6.53125			12.34375
	6.7250000000000005			11.943750000000001
	6.2375			11.91875
	6.487500000000001			12.26875
	5.781250000000001			11.71875
	5.90625			12.218749999999998
	6.918749999999999			11.9125
	6.24375			11.51875
	5.475			10.756250000000001
	6.20625			11.21875
	5.718749999999999			10.700000000000001
	5.718749999999999			10.70625
	5.25625			10.1125
	5.13125			9.40625
	4.731249999999999			9.41875
	3.75			8.21875
	4.15625			9.29375
	4.35			8.75625
	4.0875			8.437500000000002
Nov.	3.83125			8.3875
	3.2375			8.03125
	3.1625			7.3875
	3.2562500000000005			7.018750000000001
	3.1187499999999995			7.19375
	2.7500000000000004			6.7124999999999995
	1.2499999999999998			5.481250000000001
	0.8125			5.25
	1.4750000000000003			6.03125
	1.50625			5.66875
	1.2375			5.1000000000000005
	1.4437500000000003			5.1875
	1.4062499999999998			5.125
	1.2312500000000002			5.23125
	0.39375			4.40625
	-0.3687499999999999			3.7624999999999997
	-0.9187499999999998			3.2812499999999996
	-0.81875			3.80625
	-0.8125			3.1812500000000004
	-0.23750000000000007			3.2875
	-0.13124999999999995			3.2875
	0.2875			4.062499999999999
	0.9000000000000001			4.46875
	0.95625			4.4125
	0.9125000000000001			4.4312499999999995
	0.35000000000000003			3.69375
	0.2625			3.71875
	-0.006250000000000103			4.137500000000001
	-0.8312499999999998			3.26875
	-0.8312500000000002			2.39375
Dez.	-1.1375			3.5562500000000004
	-0.13750000000000007			3.98125
	1.2625			4.5625
	1.03125			4.54375
	0.8374999999999999			4.88125
	1.1375000000000002			4.55625
	0.7624999999999998			4.05
	0.49999999999999994			4.70625
	1.2874999999999999			5.21875
	1.225			4.98125
	1.24375			5.375
	1.1312499999999999			5.525
	1.1375000000000002			4.475
	0.2499999999999999			4.3875
	0.2437499999999998			3.4625
	-0.525			3.9125
	1.12			5.626666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

34°C

Höchste Temperatur

27 Jun. 26

-11°C

Niedrigste Temperatur

2 Feb. 26

Saisonale Aufschlüsselung

Heißester MonatJuni22.6°C

Kältester MonatJanuar-4.25°C

Nassester MonatJuni2.65mm

Windigster MonatJuli28.05km/h

Rothenklempenow 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 Rothenklempenow?

August ist historisch gesehen der heißeste Monat in Rothenklempenow, mit durchschnittlichen Höchsttemperaturen von etwa 24°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2022-08-04 erreicht.

2. Was ist der historisch kälteste Monat in Rothenklempenow?

Januar ist der kälteste Monat in Rothenklempenow, mit durchschnittlichen Tiefstwerten von etwa -1°C. Der Allzeit-Rekordtiefstwert von -20°C wurde am 2010-01-27 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Rothenklempenow beträgt etwa 644.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Rothenklempenow verzeichnet historisch gesehen etwa 202.6 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 19.8 Tagen.

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

Die höchste jemals in Rothenklempenow gemessene Temperatur beträgt 36°C am 2022-08-04.

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

Die niedrigste jemals in Rothenklempenow gemessene Temperatur beträgt -20°C am 2010-01-27.

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

Rothenklempenow erlebt seine stärksten Winde während Januar. Der historische Böenrekord von 49.6 km/h wurde am 2022-01-30 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Rothenklempenow im Dezember etwa 87.8% und fällt im August auf etwa 69.8%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Rothenklempenow 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

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

Rothenklempenow 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

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