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

Bluewater Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-5.718750000000001	-10.6		-0.031249999999999903	-8
	-6.737500000000001	-9		-1.9625	-5.7
	-7.2375	-10.3		-1.7374999999999992	-4.7
	-6.899999999999999	-5.9		-1.0875000000000001	-3.6
	-7.45	-5.7		-2.20625	-0.1
	-7.8812500000000005	-2		-2.5125	1.7
	-9.3625	-0.4		-2.90625	0.7
	-7.868750000000001	0.2		-2.4	2.1
	-8.274999999999999	1.1		-0.8687500000000001	6.1
	-6.887499999999999	-0.7		-0.08749999999999991	0.6
	-5.16875	-3.2		0.7125000000000001	-0.3
	-5.199999999999999	-3.9		1.25	0.8
	-7.700000000000001	-1.3		-1.4750000000000003	1.6
	-9.43125	-8.7		-2.6750000000000003	0.8
Jan.	-8.26875	-11.4		-2.49375	-8.5
	-9.337500000000002	-11.4		-1.74375	-1.5
	-8.668750000000001	-7.8		-0.8	-0.1
	-5.906249999999999	-15.4		-1.43125	-8.3
	-7.6875	-14.4		-1.9687499999999996	-8.5
	-10.90625	-18.2		-4.38125	-10.3
	-11.68125	-12.9		-4.64375	-2.8
	-11.012500000000003	-11.5		-3.025	-4.7
	-8.3875	-15.8		-2.13125	-8
	-8.362499999999999	-19.5		-2.0124999999999997	-13.4
	-6.7625	-14.5		-1.0625	-9.6
	-7.149999999999999	-14.9		-1.65	-8.4
	-8.018749999999999	-16.2		-1.9562500000000003	-9.3
	-9.525	-17.4		-2.0937500000000004	-10.8
	-9.80625	-18.4		-2.55625	-11.2
	-11.325000000000001	-23.5		-2.8687499999999995	-14.2
	-9.712499999999999	-15.6		-2.11875	-10.8
	-9.137500000000001	-20.3		-2.00625	-6.2
	-9.31875	-15.6		-2.318749999999999	-7.6
	-8.668750000000001	-13.3		-1.4375000000000002	-6.8
	-9.05625	-11.2		-1.4374999999999998	-7.4
	-8.868749999999997	-10.8		-1.9687499999999998	-6.2
	-8.2875	-13.1		-2.4375000000000004	-2.1
	-8.06875	-19.1		-0.38750000000000007	-13.3
	-9.756250000000003	-18.4		-1.5875000000000004	-9.9
	-9.10625	-19.8		-2.0625000000000004	-8.5
	-9.86875	-9.3		-2.48125	-0.6
	-9.362499999999999	-5.4		-2.0875	-1.9
	-10.175	-8.4		-2.093750000000001	-5
	-11.13125	-9.8		-2.65625	-0.9
	-10.93125	-3.4		-1.9000000000000004	-0.8
Feb.	-9.674999999999999	-2.7		-1.8375	-0.1
	-9.218749999999998	-2		-1.7437499999999997	0.1
	-11.243750000000002	0.2		-2.1249999999999996	1.1
	-9.075	-0.5		-0.7312500000000002	0.6
	-8.1125	-1.4		-0.3937500000000001	1
	-7.7437499999999995	0.2		0.23124999999999984	2.5
	-7.093749999999999	-1.5		1.6312499999999996	-0.3
	-4.925	-2.3		1.59375	-0.2
	-6.156249999999998	-9.3		2.15625	-1.4
	-5.937499999999999	-12.2		1.34375	-5.1
	-7.5125	-5.5		-0.18124999999999997	-1
	-8.318749999999998	-11.1		-0.7812499999999999	-1
	-5.50625	-5		0.6875000000000001	5.9
	-7.281250000000001	-4		1.6375000000000002	2.9
	-6.86875	-10.4		1.5312499999999998	-5.3
	-8.312499999999998	-13.1		-1.0562500000000001	0.1
	-7.781249999999999	-6.8		-0.3874999999999998	0.5
	-7.16875	-2.4		0.36874999999999997	1.1
	-7.2	-0.7		1.0375	0.7
	-7.15	-0.2		1.65	2.8
	-5.393749999999999	6.7		1.99375	13.7
	-4.7875	-0.2		3.843750000000001	8.8
	-3.3749999999999996	1.5		5.69375	16.3
	-1.1625000000000003	6		6.6375	9.4
	-1.9874999999999998	1.6		4.95625	15.7
	-4.28125	-3.4		3.8625000000000003	4.9
	-4.3812500000000005	-2.1		4.1000000000000005	4.9
	-1.80625	-3.5		5.48125	0.4
Mär.	-1.86875	-3.2		5.875000000000001	6.3
	-1.8	-4.4		5.987500000000001	6.9
	-2.4749999999999996	-9.5		7.2625	-5
	-1.35625	-6.5		7.256249999999999	-0.4
	-1.6750000000000003	-0.4		6.4625	3.4
	-1.9	-1.7		6.8187500000000005	6.2
	-1.8625	-1.3		7.54375	3.5
	-2.4187499999999997	0.5		4.012499999999999	4.9
	-2.975	-1.6		4.46875	2.1
	-1.5562499999999997	-4.1		6.906249999999999	4.8
	-1.8687500000000001	-2.3		5.725	8.1
	-2.6500000000000004	3.7		6.1875	13.1
	-2.39375	-2.9		5.187500000000001	5.1
	-1.8437500000000002	-4.6		6.499999999999999	3.9
	-1.40625	-1.1		7.493750000000001	9.1
	-0.9874999999999999	2.5		8.162500000000001	10.2
	-0.5312500000000001	8.7		8.4875	15.7
	-0.7125000000000001	0.2		7.343749999999999	2.5
	-0.6874999999999999	-0.2		8.65	7.1
	-0.006249999999999978	2.7		8.700000000000001	16.4
	0.21875	1.7		9.03125	16.9
	0.46875	0.1		8.51875	3.5
	0.12499999999999994	-1.5		9.118750000000002	5.4
	0.53125	-5.9		10.149999999999999	-2.7
	0.6749999999999999	-8		9.768749999999999	10.5
	1.6062500000000002	4.1		10.1625	20.3
	2.0375	2.2		11.668750000000003	8.2
	2.2875	-0.7		11.043750000000001	7.4
	2.7750000000000004	1.2		13.299999999999999	16.5
	3.95625	13.7		13.556249999999999	19.8
	2.4062500000000004	11.8		12.618749999999999	20.8
Apr.	2.1875	13.2		12.01875	20.5
	2.6687499999999997	13.3		11.150000000000002	16.9
	1.45625	7.4		11.0625	16.3
	2.53125	4		11.687500000000002	16.4
	2.3687500000000004	-0.6		12.15625	5.7
	2.5250000000000004	-1.9		11.668750000000001	3.3
	2.5125	-0.5		12.750000000000002	17.1
	1.74375	4.6		11.31875	18.1
	2.1874999999999996	3.8		13.593750000000002	24.8
	3.6187500000000004	8.7		12.925	20.8
	3.35625	5.4		11.68125	8.4
	2.3125	2.6		12.26875	20.2
	2.7625000000000006	5.4		13.037500000000001	22.6
	3.59375	9.4		13.325	16.5
	4.9	4.2		13.0125	10.8
	4.4624999999999995	1.7		14.231249999999998	10.4
	6.993750000000001	-0.3		16.06875	8.5
	8.212499999999999	-0.2		15.875000000000002	8.1
	7.19375	-0.2		15.262500000000003	14.8
	7.2562500000000005	5.7		16.5	24.1
	6.6875	8.4		16.175	13.8
	6.575	6.2		15.9875	10.7
	6.31875	0.8		16.306250000000002	10.9
	6.187499999999999	3.1		16.675	16.2
	6.7125	6.6		17.412499999999998	18.6
	5.5125	2.1		16.568749999999998	12.2
	5.8875	2.4		15.850000000000001	11
	6.49375	-0.6		16.9375	17.6
	7.7875	5.2		17.68125	12.2
	8.58125	4.7		17.89375	14.1
Mai	8.00625	2.8		18.34375	20.7
	8.306249999999999	8.3		18.743750000000002	24.5
	7.9125000000000005	12.7		18.09375	27.7
	8.75625	16.6		18.54375	31
	8.53125	16.2		19.931249999999995	26.3
	9.325	4.2		19.8875	9.4
	10.65	3		21.3875	17.6
	10.9625	5.5		19.237500000000004	19.6
	9.9	10.2		20.043750000000003	13
	9.55	9.6		20.568749999999998	17.6
	10.918750000000001	11.7		22.4875	23.9
	12.581249999999999	10.9		23.23125	27.4
	11.937500000000002	12.9		22.88125	24.8
	12.793750000000001	8.5		22.425	19
	13.593750000000002	6.3		23.268749999999994	24.1
	13.36875	6.4		23.956249999999997	20.8
	12.56875	6.1		22.1875	20.3
	11.412500000000001	7.5		21.812499999999996	22.9
	10.61875	8.1		21.162499999999998	24
	10.95625	7		21.93125	25.4
	11.843750000000002	10.4		22.475	27.6
	12.649999999999997	13.5		22.1	28.1
	12.11875	17		21.65625	25.8
	12.1125	11.8		22.3	25.4
	12.268749999999999	13.3		21.568749999999998	27.6
	12.0625	16.7		22	28.5
	12.656250000000002	21.5		23.037499999999998	27
	13.456249999999999	19.8		23.818749999999998	28.9
	14.237499999999999	17.2		22.95	23.9
	12.2625	14.6		21.0625	27.1
	11.581249999999999	12.6		21.15625	18.4
Jun.	12.16875	8.5		22.756249999999998	20.8
	13.29375	10.5		23.4375	22.7
	13.524999999999999	12.1		24.524999999999995	22.3
	14.693750000000001	13.8		24.993749999999995	17.4
	14.875	10.9		24.4875	20
	14.9875	10.6		25.306250000000002	21.6
	15.518749999999999	10.1		26.075000000000006	22.6
	16.006249999999998	13.2		25.8875	22.3
	15.668749999999998	9.9		25.3375	22.1
	16.006249999999998	9		24.799999999999997	23.9
	14.975	12.4		24.1375	22.1
	15.000000000000002	14.7		23.75625	21
	14.937499999999998	11.7		23.893750000000008	26.3
	15.24375	13.9		24.381249999999998	28.5
	14.35625	15		24.59375	30
	15.712500000000002	21		25.68125	32.6
	15.806249999999999	24.2		25.193749999999998	33.2
	14.79375	22.6		24.781249999999996	32.8
	14.600000000000001	21.4		25.474999999999998	31.2
	15.525	20.4		26.974999999999998	27.5
	16.89375	18		28.306250000000002	28.5
	17.8125	16.7		27.487499999999997	28.9
	17.025	17.9		26.3125	28.7
	16.212500000000002	17.3		25.75625	29.1
	16.09375	19		25.53125	29.6
	15.531249999999998	17.9		26.137500000000003	27.2
	16	17.3		26.287499999999998	28.9
	16.4375	15		25.5875	28.9
	16.875	14.9		26.04375	29.9
	16.75	20.4		26.43125	32.5
Jul.	16.48125	21.1		26.5375	30.4
	17.431250000000002	16.5		26.175000000000004	24.8
	17.162500000000005	14.1		25.912499999999998	27.5
	16.71875	19		27.275	28.1
	17.14375	13.3		26.912499999999998	23.2
	17.46875	8.8		26.650000000000002	26.1
	16.931250000000006	16.9		25.818750000000005	27.1
	15.3625	12.9		25.31875	20.1
	16.6875	10.5		26.168750000000003	23.1
	16.94375	10.7		25.94375	26.7
	16.09375	14.7		25.35625	26.4
	15.687499999999998	14.7		25.900000000000002	27.1
	16.9625	16.4		26.3125	28.7
	16.54375	17		26.06875	25.2
	16.39375	14.9		25.537500000000005	24.5
	15.581249999999999	12.2		25.025000000000002	27.3
	14.899999999999999	13.5		25.0875	29.6
	16.0875	18.7		24.94375000000001	30
	15.518750000000002	18.4		26.206250000000004	21.4
	16.493750000000002	13.1		26.381249999999998	24.4
	16.55	9.9		26.025000000000002	27.2
	15.94375	14		25.974999999999998	28.9
	16.35	18.3		25.431250000000002	26.7
	16.075000000000003	17.5		24.818749999999998	26.6
	16.137500000000003	19.3		24.94375	28.2
	16.0875		15.2	25.96875		26.9
	16.19375		17.7	25.187500000000004		23.7
	15.73125		16.1	25.224999999999998		26.2
	16.7125		14.2	25.2		22.4
	15.1875		13.6	24.950000000000003		22.8
	15.44375		14.5	24.58125		20.5
Aug.	15.643750000000002		13.4	25.150000000000002		19.7
	15.218749999999998		12.3	25.731249999999992		20.4
	15.875000000000002		16	25.18125		25.3
	15.875000000000002		15.9	24.256249999999998		24.2
	14.9625		14.6	24.85		24.9
	15.362499999999999		15.6	25.43125		25.5
	16.05625		16.2	24.712499999999995		24.7
	14.550000000000002		14.7	23.943749999999998		24
	14.2		14.6	24.18125		24.5
	14.818749999999998		15	24.96875		25.1
	15.1375		15.5	24.3		24.2
	15.456249999999999		15.2	24.59375		24.4
	15.037500000000001		15.1	25.099999999999998		24.9
	15.449999999999998		15.2	25.26875		24.6
	15.293750000000001		14.5	25.1375		24.6
	14.8		14.6	24.625		24.2
	14.249999999999998		14.4	24.937499999999996		24.4
	14.9		14.2	24.768749999999997		24.5
	15.293749999999998		14.6	24.725		24.6
	14.9625		14.3	25.156249999999993		25.4
	14.5625		14.6	24.1375		23.7
	13.89375		13.9	23.11875		23.5
	13.056249999999999		13.4	22.73125		23
	13.725		14	23.331250000000004		22.8
	13.7		13.4	21.881249999999998		21.3
	12.275000000000002			21.19375
	13.174999999999999			23.1
	13.33125			23.062499999999996
	12.100000000000003			21.725
	11.737499999999999			21.931250000000002
	11.8			22.78125
Sep.	11.556249999999999			21.61875
	11.40625			21.9625
	12.0125			22.7625
	12.818750000000001			22.187500000000004
	12.00625			21.000000000000004
	11.6			22.46875
	12.743749999999999			22.875
	11.856250000000001			20.85
	11.156249999999998			20.69375
	11.793750000000001			21.606249999999996
	12.612499999999999			20.949999999999996
	11.918749999999998			21.087500000000002
	11.599999999999998			20.76875
	11.41875			19.5125
	10.31875			19.4125
	9.968749999999998			18.637500000000003
	9.600000000000001			18.012500000000003
	9.375			18.29375
	9.35			18.506249999999998
	9.043750000000001			19.01875
	9.7625			18.650000000000002
	10.3375			19.375000000000004
	9.987499999999999			17.83125
	8.925			17.18125
	7.956249999999998			17.09375
	7.78125			17.3875
	7.94375			17.356250000000003
	7.918749999999999			16.037499999999998
	8.5125			15.73125
	7.5625			14.675
Okt.	6.7125			14.787500000000003
	5.643750000000001			14.006250000000003
	5.675			11.649999999999999
	5.375000000000001			13.081249999999999
	5.949999999999999			14.325000000000001
	6.44375			14.300000000000002
	6.468749999999999			13.0875
	5.84375			13.099999999999998
	5.625			13.118749999999999
	6.1499999999999995			13.937500000000002
	6.1375			12.25
	4.862499999999999			11.950000000000001
	4.3187500000000005			11.76875
	3.65			11.05625
	3.3687500000000004			9.918750000000001
	3.8874999999999997			10.1375
	4.24375			10.381250000000001
	3.04375			9.53125
	2.4250000000000003			10.425
	2.5749999999999997			9.8625
	3.4937500000000004			10.543750000000001
	4.84375			11.268749999999999
	4.731249999999999			11.69375
	3.03125			9.93125
	2.09375			8.84375
	1.4875000000000003			9.5875
	1.5000000000000004			7.806250000000001
	2.1374999999999997			8.68125
	0.7875			7.86875
	-0.33125000000000004			5.925
	-0.4812500000000002			5.3687499999999995
Nov.	0.4187500000000001			6.29375
	0.2562499999999999			6.856250000000002
	0.006249999999999832			6.53125
	-0.6812499999999999			5.550000000000001
	-0.9499999999999998			5.7125
	-1.275			5.3374999999999995
	-0.8875			5.6312500000000005
	-1.5125000000000002			4.6125
	-1.80625			4.837499999999999
	-0.7750000000000001			5.2124999999999995
	-0.48124999999999996			4.96875
	0.27499999999999997			5.175
	-0.6500000000000001			4.4625
	-2.2125000000000004			2.4750000000000005
	-2.04375			3.149999999999999
	-0.9125			4.80625
	-1.5812500000000003			3.2062500000000003
	-1.5062499999999996			3.8937500000000003
	-1.5250000000000001			3.3
	-1.43125			3.15625
	-1.2937500000000002			4.2437499999999995
	-2.4499999999999997			2.18125
	-4			-0.06874999999999998
	-3.5250000000000004			1.6437500000000003
	-2.5374999999999996			2.275
	-3.1375			1.6375
	-3.6812499999999995			1.36875
	-4.31875			1.2937499999999997
	-3.9375			1.1624999999999996
	-4.168749999999999			0.9625000000000001
Dez.	-4.46875			1.8062500000000004
	-3.53125			1.2625000000000004
	-3.8375			1.29375
	-4.125			0.48124999999999996
	-4.5125			0.14999999999999994
	-4.875			0.2562499999999999
	-3.48125			1.6625
	-2.9687499999999996			1.70625
	-3.525			2.0125
	-3.5562499999999995			1.4874999999999998
	-3.99375			1.15625
	-4.3500000000000005			-0.15000000000000008
	-3.99375			1.8562500000000002
	-4.0874999999999995			1.8062500000000001
	-3.9937500000000004			1.375
	-3.65625			0.5125
	-4.373333333333334			0.7599999999999999

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

33°C

Höchste Temperatur

1 Jul. 26

-23°C

Niedrigste Temperatur

30 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuli27.83°C

Kältester MonatJanuar-10.3°C

Nassester MonatMärz9.34mm

Windigster MonatMärz29.44km/h

Bluewater 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 Bluewater?

Juli ist historisch gesehen der heißeste Monat in Bluewater, mit durchschnittlichen Höchsttemperaturen von etwa 26°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2025-06-23 erreicht.

2. Was ist der historisch kälteste Monat in Bluewater?

Februar ist der kälteste Monat in Bluewater, mit durchschnittlichen Tiefstwerten von etwa -8°C. Der Allzeit-Rekordtiefstwert von -29°C wurde am 2015-02-16 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Bluewater beträgt etwa 1089.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Bluewater verzeichnet historisch gesehen etwa 203.4 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 16.6 Tagen.

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

Die höchste jemals in Bluewater gemessene Temperatur beträgt 36°C am 2025-06-23.

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

Die niedrigste jemals in Bluewater gemessene Temperatur beträgt -29°C am 2015-02-16.

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

Bluewater erlebt seine stärksten Winde während März. Der historische Böenrekord von 57.2 km/h wurde am 2026-03-13 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Bluewater im Februar etwa 87.2% und fällt im Mai auf etwa 74.4%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Bluewater 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

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

Bluewater 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

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