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

Wuan Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-3.8624999999999994	-2.8		6.4625	3.7
	-3.79375	-5.2		4.8625	4.8
	-3.7375000000000003	-1.6		5.48125	7
	-3.95625	1		4.78125	6.2
	-4.15	-1.3		3.6374999999999997	6.9
	-4.787499999999999	-1.8		3.31875	9.1
	-4.55	-0.4		3.8249999999999997	7.1
	-4.456250000000001	-2.1		4.7875	7.5
	-4.581250000000001	0.4		3.8499999999999996	13.4
	-4.58125	-3.1		4.8500000000000005	3.9
	-3.7937500000000006	-7.2		5.3812500000000005	1.8
	-4.1375	-1.7		5.5625	12.4
	-3.6125000000000003	0		6.6125	8.4
	-4.0625	2.2		5.175000000000001	14.3
Jan.	-4.5375000000000005	3.1		4.3	16.2
	-4.4	-1.7		4.5062500000000005	5.1
	-4.431249999999999	-5.1		5.2562500000000005	0.4
	-3.5312499999999996	-4.8		6.45625	-1.3
	-3.0937500000000004	-5.7		5.61875	-3.2
	-4.0062500000000005	-8.1		3.5375	-3.8
	-4.41875	-10.4		3.7937499999999997	-1.5
	-4.89375	-8.2		3.9125	1.3
	-5.0375000000000005	-2.9		4.425000000000001	4
	-4.525	-3.2		4.0875	4.2
	-4.4125	-1.4		4.76875	2
	-4.043749999999999	-2.4		5.025000000000001	6.4
	-3.6062499999999997	-1.5		5.625	3.8
	-3.6999999999999997	-2.5		5.449999999999999	4.7
	-3.4937500000000004	-1.7		6.449999999999999	0.8
	-3.2312499999999997	-2.3		6.143750000000001	3.6
	-3.1937500000000005	-0.8		6.0125	4.3
	-3.53125	-0.9		5.156249999999999	10.2
	-3.8125000000000004	-0.8		5.825000000000001	6
	-3.5624999999999996	1.2		6.30625	11
	-3.4	1.9		6.33125	12.4
	-3.2000000000000006	0.7		6.293750000000001	8.6
	-3.1937500000000005	-3.9		5.55	0
	-3.94375	-5.4		4.631250000000001	4.4
	-3.9312499999999995	-3.3		5.1625	7.6
	-3.249999999999999	-1.3		6.75625	5
	-3.1125000000000003	-0.3		6.8	10.7
	-2.4250000000000007	0		7.54375	12.8
	-2.2	2		7.687499999999999	14.3
	-1.8062499999999997	5.3		8.3	16.5
	-2.2000000000000006	6.3		7.70625	16.8
Feb.	-2.1125	0.3		7.2562500000000005	8.7
	-2.1124999999999994	-1.8		8.54375	5.9
	-1.9749999999999996	0.2		7.231249999999999	12.8
	-1.3499999999999999	1.4		9.306249999999999	11.5
	-0.7375	3.6		10.3125	17.2
	-1.41875	5.5		8.5	21.9
	-1.0999999999999999	10.6		9.718750000000002	23.2
	-1.2874999999999999	5.8		10.18125	14.5
	-0.95625	3.1		10.706249999999999	5.2
	-0.2875	0.4		9.75625	11.2
	0.45625000000000004	4.2		10.55	13.4
	0.3499999999999999	4.9		10.75625	6.6
	0.41874999999999996	3.2		10.5375	6.3
	1.1187500000000001	1		11.35	6.7
	0.4	0.4		9.95625	1.2
	-0.025000000000000112	-1.8		12.831249999999999	2.1
	2.2375	-0.4		13.58125	3.1
	2.1374999999999997	2.7		13.28125	7.2
	1.2687499999999998	2.9		12.35	8.5
	1.5687499999999999	2		11.868749999999999	6.3
	1.3375000000000001	1.4		13.987499999999997	7.3
	2.33125	1.8		14.53125	11.9
	2.3562499999999997	3.6		14.36875	11
	2.5	3.4		15.312500000000002	18.5
	3.8375	6.5		16.5875	14
	3.8062500000000004	3		15.743750000000002	12.8
	4.2625	4.1		15.631250000000001	15.9
	4.69375	3.3		16.65625	8.4
Mär.	3.8125	4.1		16.581249999999997	10.7
	4.012499999999999	4.5		16	12.7
	4.3999999999999995	5.5		16.431250000000002	13.9
	4.99375	5.6		16.15	10.2
	5.34375	2.5		16.662500000000005	14.7
	4.8375	5.7		16.00625	16.6
	4.624999999999999	7.3		17.26875	19.9
	5.687499999999999	10.2		17.2875	19.7
	6.1000000000000005	9.9		18.0375	18.2
	6.593749999999999	11.2		17.5625	22.7
	5.887499999999999	11		17.79375	26.1
	6.050000000000001	14.9		19.28125	24.6
	6.6312500000000005	13.4		20.48125	22.3
	7.300000000000001	11.4		19.7625	23.7
	6.637499999999999	11.2		19.025	23.3
	7.556250000000001	8.2		19.425	15.1
	7.6375	7.4		20.237499999999997	22.4
	7.98125	9.9		20.775000000000002	19.4
	7.91875	9.4		19.71875	23.5
	6.756249999999999	12.9		18	26.9
	6.95	7.8		18.375	21.6
	7.85625	10.9		19.46875	23.4
	7.131249999999999	7.5		19.39375	22.8
	7.875000000000002	7.3		21.7125	16.2
	8.275	8.8		21.612499999999997	15.1
	9.531250000000002	9.2		22.6875	24.1
	8.924999999999999	11.8		21.006249999999998	26.6
	9.312500000000002	13.5		20.46875	24
	7.500000000000001	12.9		20.66875	24.7
	8.918750000000001	14.6		22.018750000000004	21.9
	9.950000000000001	12.6		22.893749999999997	24.6
Apr.	10.537500000000001	13.9		24.312500000000004	25.3
	11.1625	13.6		24.368750000000006	22.2
	11.562499999999998	12.2		23.968750000000004	29.3
	10.88125	14.6		23.1875	27.4
	10.3625	13.9		22.150000000000002	29.1
	10.475000000000001	8.2		22.506249999999998	21
	10.4	9.6		20.7875	18
	9.90625	6.5		20.568749999999998	20.4
	10.743750000000002	11.3		23.575	24.8
	11.068750000000001	12.6		22.750000000000004	27.5
	10.743749999999999	13.6		23.825	27
	11.693750000000001	16.1		24.58125	26.9
	11.825000000000001	13.8		23.993750000000002	24.6
	12.000000000000002	12.2		25.187500000000007	20.1
	12.425	9.9		26.493749999999995	23.2
	13.23125	11.9		26.987499999999997	27.7
	13.218749999999998	15.5		27.84375	27.7
	14.25	13.1		27.25625	24.1
	13.83125	10.5		25.8	25.4
	14.38125	11.6		26.862500000000004	27.8
	13.781250000000002	15.9		27.018750000000004	30.8
	14.4125	16.9		26.118749999999995	32.1
	14.69375	13.5		26.525000000000002	22.7
	14.606250000000001	11.7		24.587500000000002	28
	13.418750000000001	14.4		23.831250000000004	31.7
	13.43125	17.9		24.6875	34.9
	14.175000000000002	18.4		27.556250000000006	30.1
	15.3625	19.5		29.06875	34.4
	15.768749999999999	22.1		28.743749999999995	35.3
	15.749999999999998	20.8		28.456249999999994	33.4
Mai	16.075	20		28.374999999999996	32.3
	15.412499999999998	17.4		28.306250000000002	25.5
	16.2	17.5		30.424999999999997	19.1
	17.162499999999998	16.9		30.91875	26
	17.58125	17.4		30.425000000000004	25.8
	16.9125	16.9		29.9625	22.7
	17.2	17.1		28.9125	26
	16.806250000000006	17.8		29.74375	23.4
	16.9375	17		29.7875	30.9
	17.599999999999994	18.9		30.200000000000003	29.8
	17.45	17.4		29.806250000000006	20.7
	17.99375	16		30.00625	22.1
	17.81875	15.4		30.356250000000003	28.7
	18.2125	18.4		31.743750000000006	30.4
	18.712499999999995	19.4		31.156250000000004	32
	18.84375	20.2		31.468750000000004	35.2
	19.056250000000002	21		31.05	35.7
	19.400000000000002	22		31.125000000000007	35.9
	19.35	22.6		32.75	38.2
	19.756249999999998	19.9		31.281249999999996	38.7
	19.85625	18.7		31.962500000000006	31.8
	19.493750000000002	18.6		32.275000000000006	28.4
	20.2	15.6		31.85	19.5
	20.125000000000004	13.6		32.4125	27.2
	20.2875	18		32.41875	32.7
	19.987500000000004	19.5		32.00625	30.4
	20.381249999999998	18.7		32.06875	29.4
	20.137499999999996	19.1		32.79375	31.9
	21.099999999999998	21.7		33.775000000000006	35.5
	21.056250000000002	21.6		32.900000000000006	34.5
	21.08125	20.3		33.6125	33.4
Jun.	21.781250000000004	24.1		33.412499999999994	35.6
	21.612499999999997	23.5		32.981249999999996	35.3
	21.5375	24		32.375	35.2
	21.7875	25.1		32.90625000000001	35.4
	21.656249999999996	19.3		32.862500000000004	22.6
	21.962500000000002	18.3		33.50000000000001	33.6
	22.83125	19.1		34.15625	25.1
	22.725000000000005	17.7		33.393750000000004	29.7
	22.15	19.1		33.53125	31.7
	21.750000000000004	21.3		32.55	33.1
	21.8125	23.7		32.35	31.8
	21.53125	21		33.18749999999999	32.8
	22.03125	22.2		34.43750000000001	36.4
	22.849999999999998	21.4		33.65625	36.1
	22.643750000000004	22.4		33.34375	34.1
	22.668750000000003	22		33.00625	33.4
	22.61875	21		33.4	33.2
	22.606249999999996	24.6		32.818749999999994	36.8
	22.3875	25.8		32.574999999999996	37.6
	22.56875	24.2		33.24375	38.8
	23.068749999999998	21.5		33.506249999999994	37.9
	23.14375	22.1		32.587500000000006	34.1
	22.687500000000004	21.2		34.05625	33.6
	23.206249999999994	21		33.731249999999996	35
	22.85625	24.2		31.856250000000006	38.5
	22.40625	27.5		30.462500000000002	36.4
	21.999999999999996	27.1		32.175	38.8
	22.59375	27.1		32.5625	36
	23.225	25.8		32.525	33.7
	23.09375	25.2		33.3125	37.9
Jul.	23.149999999999995	23.8		31.2375	35.1
	22.468750000000004	25.9		31.425	35.7
	22.050000000000004	20.2		32.06875	28.9
	22.1375	20.4		31.287499999999994	33
	21.925	21.3		31.637499999999996	35.2
	22.318750000000005	23.5		31.7625	35.3
	22.43125	20.6		32.943749999999994	35.2
	22.900000000000002	22.7		31.30625	33
	22.55625	21.1		31.931250000000002	31.2
	23.312499999999996	22.5		33.181250000000006	29.3
	23.45	22.5		33.62500000000001	31
	23.55	23.5		33.55624999999999	33.5
	23.35625	23.3		32.831250000000004	29.9
	23.237500000000004	23.1		32.143750000000004	30
	22.825	23.5		31.8875	32
	23.18125	24		32.787499999999994	31.4
	23.53125	24.4		32.95625	32.1
	22.75625	26.2		31.037499999999998	34.8
	22.86875	25.4		31.5125	35.8
	22.8125	25.7		33.25	34.8
	23.60625	23.7		33.0625	34.9
	23.449999999999996	23		31.412499999999998	33.8
	22.731250000000003	24.5		30.63125	35.4
	22.574999999999996	24.9		31.024999999999995	37.3
	22.40625	22.8		31.449999999999996	30.8
	21.943749999999998		15.2	30.549999999999997		27.8
	21.93125		15	30.681249999999995		28.8
	22.4125		17.8	32.212500000000006		26.4
	22.606250000000003		19.2	32.1375		20.6
	22.206250000000004		17.4	31.4125		19.7
	22		16.7	31.175		22.4
Aug.	21.68125		16	31.524999999999995		25.2
	21.231250000000003		15	30.256249999999998		29
	20.61875		15.6	29.618750000000002		27.8
	20.675		21	30		29.9
	21.112500000000004		20.8	29.275		28.9
	20.51875		20.5	28.925000000000004		28.8
	20.28125		19.8	29.94375		29.8
	20.049999999999997		20.1	28.987499999999997		29.1
	20.15625		20	29.4625		29.6
	19.40625		19.6	28.843750000000004		28.8
	19.606249999999996		19.4	29.012500000000003		28.9
	19.15		18.9	28.60625		28
	18.96875		19.1	27.868750000000002		28.2
	18.631249999999998		18.6	28.4		28.7
	18.418749999999996		18.3	28.818749999999998		28.6
	18.5625		18.4	28.549999999999997		28.4
	18.656250000000004		18.6	29.037499999999998		28.7
	18.8875		18.8	28.76875		28.6
	19.256249999999998		18.4	28.81875		28.2
	18.5125		18.1	28.33125		28.2
	17.912499999999998		18	27.681250000000002		28.2
	18.325		19	28.737500000000004		28.1
	18.418750000000003		18.1	28.9125		28.5
	17.88125		17.3	28.8875		28.1
	18.193749999999998		18	28.918749999999996		28.1
	17.89375			28.01875
	17.69375			27.481250000000003
	17.099999999999998			26.668750000000003
	17.1375			26.2375
	16.59375			27.1125
	17.006249999999998			26.793749999999996
Sep.	17.043750000000003			25.825000000000003
	16.625			25.8625
	16.275000000000002			25.731250000000006
	16.212500000000002			25.018749999999997
	15.468750000000002			24.187500000000004
	15.84375			25.8625
	15.368749999999999			26.63125
	15.775000000000002			25.39375
	14.549999999999999			24.825000000000003
	14.818750000000003			24.912500000000005
	14.925			24.606250000000003
	15.000000000000002			25.2625
	15.599999999999998			24.449999999999996
	15.4			24.1375
	15.443750000000001			25.80625
	14.475			24.65
	14.275000000000002			23.756249999999998
	13.412500000000001			23.73125
	13.1375			23.4
	12.593750000000002			23.3
	12.049999999999997			21.7
	11.7875			20.71875
	12.093750000000002			22.249999999999996
	12.0375			21.4125
	11.499999999999998			21.15
	11.181249999999997			20.037499999999998
	10.68125			20.843750000000004
	10.8875			20.925000000000004
	11.349999999999998			21.98125
	11.849999999999998			21.10625
Okt.	11.399999999999999			21.456249999999997
	11.31875			19.95
	10.14375			20.049999999999997
	9.668750000000001			19.993750000000002
	10.18125			19.6875
	9.74375			19.1
	9.65625			19.23125
	9.318750000000001			19.175
	9.125			18.98125
	8.468750000000002			19.50625
	8.756250000000001			18.84375
	8.631250000000001			18.343749999999996
	8.31875			19.5875
	9.34375			18.468749999999996
	8.462500000000002			17.75
	8.66875			18.88125
	8.781249999999998			19.00625
	8.96875			17.7875
	8.274999999999999			18.8125
	7.550000000000001			17.75
	6.9437500000000005			17.94375
	7.087500000000001			16.53125
	6.587499999999999			15.89375
	5.84375			14.374999999999998
	5.58125			15.068750000000001
	5.837500000000001			14.987499999999999
	5.3999999999999995			14.4375
	5.5562499999999995			14.35
	5.3062499999999995			15.7875
	4.9624999999999995			14.375000000000002
	4.606249999999999			15.2625
Nov.	5.1000000000000005			13.937499999999998
	4.23125			12.39375
	4.093749999999999			13.38125
	3.3687499999999995			13.2
	3.94375			12.837500000000002
	3.7624999999999997			13.4125
	3.55			12.3
	2.34375			11.55
	1.3625			9.837500000000002
	0.2124999999999999			9.556249999999999
	0.2625000000000002			10.562500000000002
	0.09375			10.200000000000001
	0.3500000000000001			9.30625
	0.2875000000000001			10.525
	-0.53125			7.8812500000000005
	-1.9937500000000001			7.9
	-1.9125			7.8374999999999995
	-1.45625			8.4125
	-1.0062499999999999			8.6125
	-0.4			9.14375
	-0.5312499999999998			9.30625
	-1.0749999999999997			8.512500000000001
	-1.5062499999999999			8.8
	-0.8749999999999999			8.2
	-1.4000000000000004			8.506250000000001
	-1.88125			7.05625
	-2.7812499999999996			5.60625
	-3.0375			5.543750000000001
	-2.825			5.675
	-3.1437499999999994			4.781249999999999
Dez.	-3.6625			4.062500000000001
	-3.99375			4.6812499999999995
	-4.3500000000000005			5.675000000000001
	-2.8625			6.8062499999999995
	-3.1250000000000004			6.16875
	-3.2875			5.61875
	-2.9499999999999993			6.731249999999999
	-3.15625			6.08125
	-3.8375			5.225
	-4.5687500000000005			4.1125
	-4.25625			4.66875
	-4.35625			4.7250000000000005
	-3.95625			4.7875000000000005
	-3.5749999999999997			5.7875
	-3.45625			5.61875
	-4.4375			5.093749999999999
	-4.566666666666666			4.933333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

39°C

Höchste Temperatur

4 Jul. 26

-10°C

Niedrigste Temperatur

21 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust34.7°C

Kältester MonatJanuar-2.68°C

Nassester MonatJuli5.5mm

Windigster MonatApril23.34km/h

Wuan 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 Wuan?

Juni ist historisch gesehen der heißeste Monat in Wuan, mit durchschnittlichen Höchsttemperaturen von etwa 33°C. Während der stärksten Hitzewellen wurden Temperaturen von 43°C am 2023-07-07 erreicht.

2. Was ist der historisch kälteste Monat in Wuan?

Januar ist der kälteste Monat in Wuan, mit durchschnittlichen Tiefstwerten von etwa -4°C. Der Allzeit-Rekordtiefstwert von -15°C wurde am 2023-12-17 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Wuan beträgt etwa 579.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Wuan verzeichnet historisch gesehen etwa 103.9 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 18.8 Tagen.

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

Die höchste jemals in Wuan gemessene Temperatur beträgt 43°C am 2023-07-07.

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

Die niedrigste jemals in Wuan gemessene Temperatur beträgt -15°C am 2023-12-17.

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

Wuan erlebt seine stärksten Winde während April. Der historische Böenrekord von 50 km/h wurde am 2025-04-12 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Wuan im August etwa 69.1% und fällt im März auf etwa 37.08%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Wuan 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

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

Wuan 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

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