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

Fuan Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.19374999999999992	2.7		10.125	6.1
	1.9500000000000002	-2.2		12.012499999999998	7.1
	2.43125	-2.1		11.45625	8.1
	2.54375	-1.3		11.6125	11.9
	3.33125	2.5		12.11875	11.1
	3.7187500000000004	-0.6		10.337499999999999	8.5
	2.71875	-2		10.312499999999998	10.6
	1.76875	-1		10.1375	11.2
	1.8250000000000002	-1.3		9.037500000000001	11.1
	1.7937499999999997	0		9.18125	13.4
	1.2437500000000001	0.5		9.05	12.9
	0.925	-1.2		9.76875	14.2
	1.6500000000000001	3.6		9.56875	16.7
	1.8312500000000003	3.5		10.912499999999998	16.6
Jan.	1.2374999999999998	4.4		10.38125	19.2
	1.86875	6.6		10.062500000000002	18.4
	1.10625	7.8		10.00625	19.1
	1.16875	6.5		11.0125	17.9
	2.70625	7.5		12.131250000000001	17.7
	3.1125	1.3		10.98125	9.7
	2.3874999999999997	-0.7		10.737499999999999	6.1
	1.44375	-3		10.306250000000002	5.8
	1.2999999999999998	-1.6		10.30625	11
	0.7937500000000002	2.5		9.21875	13.8
	0.8875000000000002	5.3		9.931250000000002	16.1
	1.3750000000000002	8.9		9.5125	19.2
	1.5812500000000003	5.8		9.737499999999999	10.4
	1.6999999999999995	4.6		10.475	6.2
	1.6250000000000002	3.1		10.90625	10.5
	1.79375	5.3		11.174999999999999	9.6
	2.2249999999999996	4.3		12.137500000000003	9
	2.875	3.3		12.95625	5.4
	2.59375	2.6		10.518749999999999	12.2
	2.9000000000000004	0.1		11.125000000000002	10.3
	3.025	3.9		10.375000000000002	18.1
	2.8125000000000004	9.7		11.53125	19.7
	3.2687500000000003	6.3		11.8375	13.8
	2.6	1.3		11.268750000000002	6.4
	1.6	-1.6		9.4875	8
	1.03125	-3		9.49375	7.6
	1.5312500000000002	1.9		10.5625	15.8
	1.6624999999999999	6.8		10.60625	10.8
	2.89375	6.2		13.04375	14.2
	3.3375	6		12.34375	17.9
	3.15	9.9		13.237499999999999	21.1
Feb.	3.0125	11.7		13.10625	21.8
	2.83125	6		10.76875	13.1
	2.74375	5.7		11.1125	6.6
	2.36875	5.1		12.21875	13.1
	2.7625	4.4		12.19375	15.1
	2.4812499999999997	6.3		12.45625	17.4
	2.8750000000000004	5.9		12.44375	20.5
	4.175000000000001	10.1		12.8375	22.2
	3.625	8.3		12.162499999999998	17.9
	3.3375	11.3		11.7375	18.6
	4.4750000000000005	9.8		13.30625	13.4
	5.0875	9.3		13.393749999999999	10.7
	5.168749999999999	11		13.64375	17.2
	5.481250000000001	9.5		16.15	11.5
	6.312500000000001	10		16.049999999999997	12.1
	5.468749999999998	12.4		13.8125	18.2
	5.0125	8.7		13.549999999999999	14
	5.04375	7.1		15.45625	12
	5.5	6.3		14.018749999999999	14.9
	5	8.1		13.062500000000002	15.1
	3.85625	5.3		12.256250000000001	12.9
	4.375	4.3		13.3125	9.5
	4.656250000000001	5.9		14.681250000000002	6.9
	4.468749999999999	2.8		13.481250000000001	13.8
	4.0687500000000005	3.7		14.193750000000003	17
	5.34375	3.7		15.956249999999999	11.6
	5.781250000000002	2.3		16.224999999999998	15.1
	6.7625	3.3		16.875	16.5
Mär.	6.15	5.1		16.53125	18
	6.312500000000002	6.3		15.956249999999999	16.7
	7.800000000000001	8.2		17.34375	16.6
	8.51875	11		18.30625	22.7
	9.606249999999998	8.3		18.175	13.6
	9.31875	8.5		18.743750000000002	12.2
	7.4875	8.1		16.64375	11.2
	5.95	9.5		15.781249999999998	20.8
	7.05	12.3		17.38125	15.9
	7.1312500000000005	11.9		16.04375	17.2
	6.3500000000000005	12.7		15.231250000000001	19.9
	6.71875	9.8		16.4	13.5
	7.11875	9.5		17.950000000000003	15.7
	6.987499999999999	10.7		17.743750000000002	12.1
	6.79375	10.9		16.262500000000003	20.2
	7.799999999999999	13.4		17.425	21.4
	8.4375	10.3		16.58125	16.4
	7.96875	10.4		17.799999999999997	18.9
	8.1625	8.7		18.493750000000002	18.2
	8.831250000000002	9.2		18.54375	14.7
	9.100000000000001	11.1		18.5	20.7
	9.668750000000001	12		19.237499999999997	22.6
	9.174999999999999	13.5		18.375	17.1
	8.18125	9.9		17.956250000000004	15.1
	8.53125	8.9		18.00625	16.8
	9.69375	12.9		19.875	28.2
	9.85	18.2		19.643749999999997	27.8
	10.28125	15.8		19.65625	17.3
	10.46875	15.8		19.349999999999998	22.9
	9.68125	15.9		18.68125	21.4
	9.925	16.7		19.2	24.4
Apr.	9.25625	16.2		18.94375	22.1
	10.106250000000001	15		20.81875	19
	11.8375	15.6		21.59375	22.5
	11.5875	14.4		21.14375	16.3
	12.175	13.2		21.09375	24.6
	11.825	14		21.36875	25.7
	12.275	12.6		21.187499999999996	14.5
	12.225	13.2		21.099999999999998	19.8
	12.10625	13.2		20.48125	16.8
	11.80625	12.5		20.049999999999997	17.9
	11.924999999999999	11.1		19.318749999999994	19
	11.912500000000001	10.8		19.9375	24
	11.318750000000001	12.7		20.1875	24.5
	11.58125	14.3		22.212500000000002	23.6
	12.39375	9.2		22.475	14.4
	12.143749999999999	8.9		21.9375	16.3
	12.41875	8.4		22.325	19.8
	12.099999999999998	9.3		22.20625	23.4
	12.825000000000001	14.6		21.4625	19.1
	12.8	8.4		21.6375	14.1
	12.58125	8.7		21.06875	19.5
	13.5625	9.9		22.1875	24
	14.21875	13.7		22.593750000000004	24.1
	14.143749999999999	12.6		21.89375	16.8
	14.23125	10.3		22.14375	16.2
	14.537500000000001	11.1		22.94375	18.4
	13.987500000000002	14.5		22.168750000000003	24.7
	14.2125	16		22.031250000000004	25.1
	14.04375	13.9		23.43125	17.8
	14.668749999999996	13.7		23.468749999999996	16.5
Mai	14.737499999999999	14.1		23.381249999999998	14.9
	15.43125	13.2		23.34375	21.6
	14.89375	12.5		23.393749999999997	23.2
	15.518749999999999	12.1		24.6375	23.9
	15.506250000000001	14.9		23.393749999999997	25.4
	15.649999999999999	18.7		23.38125	24.5
	15.431249999999999	19.4		22.549999999999997	20.6
	15.250000000000002	18.8		21.162499999999998	23.1
	14.612499999999999	19.2		21.300000000000004	25.1
	14.531249999999998	20.9		22.049999999999997	26.1
	15.412499999999998	21.7		24.262500000000003	27.7
	16.3125	22.2		23.7	28.9
	16.4625	21.1		23.837500000000002	27.9
	15.975000000000005	21		23.768750000000004	30
	15.50625	19.2		24.025	21.2
	15.968749999999998	17.2		24.9375	20
	16.05625	15.6		24.875000000000004	25.7
	16.93125	16.3		24.568749999999998	28.2
	16.943749999999998	18.6		23.1375	27.6
	16.28125	20.1		22.787499999999994	29.6
	15.875	21.2		23.075	26.8
	16.493750000000002	17.8		24.05625	23.1
	17.231250000000003	17.1		24.4625	25.4
	17.274999999999995	18.5		24.93125	26
	17.83125	15.2		25.3875	20.8
	17.86875	14.8		25.587499999999995	16.1
	18.343750000000004	14.6		25.418750000000003	17.8
	18.181250000000002	15.8		25.493750000000002	17.8
	17.806250000000002	15.7		24.462499999999995	19.8
	17.5375	16.2		23.925	17.1
	17.45	17		24.81875	25.9
Jun.	17.49375	19.1		26.068749999999998	23.3
	18.275	18.3		25.856250000000003	25.1
	18.60625	19.2		25.843750000000004	23.3
	19.0125	19.7		25.175000000000004	24.4
	19.174999999999997	18.7		25.750000000000004	26.7
	19.56875	20.2		25.825	28.9
	19.55	21.5		25.45625	29.5
	18.768749999999997	21.4		26.21875	31.6
	18.849999999999998	21.6		25.906250000000004	27.5
	19.23125	21.2		26.55625	26
	19.618750000000002	20.7		27.4	25.1
	19.60625	19.2		27.812500000000004	23.5
	19.94375	17.9		27.025000000000002	24.1
	20.1375	18.2		28.368750000000006	24.2
	20.256249999999998	19.5		28.243750000000002	25.2
	20.212500000000002	20.8		28.250000000000004	26.8
	20.225	20.8		28.393749999999997	29.8
	20.31875	21.3		28.799999999999997	31.4
	20.518749999999997	20.9		29.531250000000007	31.9
	20.11875	21		29.56875	30.4
	20.681250000000002	21		29.300000000000004	31.5
	20.043750000000003	20.6		28.55	32.1
	20.068750000000005	20.7		28.506249999999998	31
	20.075	20.9		29.606249999999996	32.7
	20.368750000000002	20.8		28.6625	30.2
	20.174999999999997	18.4		28.750000000000004	29.9
	20.106250000000003	20.8		28.562499999999996	26
	20.268749999999997	20.8		29.91875	22.3
	20.3375	20.3		29.30625	28.3
	20.156249999999996	21		29.043749999999996	28.7
Jul.	20.006249999999998	20.8		29.4625	30.4
	20.168750000000003	21.1		29.1875	31.5
	20.275000000000002	21.6		28.543750000000003	31.5
	19.849999999999998	21.8		28.2125	31
	20.062500000000004	21.6		28.6625	28.8
	20.143749999999997	21.2		28.90625	29.1
	20.19375	21.1		28.88125	27.7
	19.925	21.2		28.675	30.4
	20.193749999999998	20.3		28.7625	31
	20.18125	18.9		29.125	30.6
	20.30625	20.6		29.231249999999996	26.6
	20.293750000000003	21.3		28.2125	28.3
	20.21875	20.1		28.56875	23.5
	20.187499999999996	19.6		28.268749999999997	25.5
	20.037499999999998	19.2		29.462499999999995	27.8
	19.668750000000003	19.5		28.900000000000002	31.1
	19.693749999999998	18.2		29.081249999999997	30.6
	19.568749999999998	18.5		28.975000000000005	32.1
	19.900000000000002	19.4		28.543750000000003	28.9
	20.068750000000005	21.7		28.99375	30.8
	20.2375	20.6		29.081250000000004	30.4
	20.199999999999996	20.1		29.23125	28
	20.018750000000004	19.8		29.3625	31.5
	19.81875	21		29.731249999999996	29.6
	19.95	20.9		29.293750000000003	29
	20.262500000000003		20.2	29.16875		22.6
	20.343750000000004		20.5	29.018750000000004		21.6
	20.562499999999996		20.4	29.30625		26.6
	20.375		21.5	28.475		29.3
	20.243749999999995		20.5	28.681250000000002		27.1
	20.281250000000004		19.8	28.56875		27.8
Aug.	20.074999999999996		19.8	29.156250000000004		28.8
	19.825		19.5	28.943750000000005		28.2
	20.025000000000002		19.9	28.69375		26.4
	19.668750000000003		19.8	28.206250000000004		28.3
	19.3125		19.3	28.2875		28.5
	19.39375		19.5	28.8625		29
	19.424999999999997		19.4	28.75		28.6
	19.63125		19.6	28.28125		28.4
	19.912499999999998		19.9	28.70625		28.7
	19.637500000000003		19.6	28.3		28.1
	19.706250000000004		19.8	28.33125		28.6
	19.85		19.8	28.568749999999994		28.5
	19.512499999999996		19.7	28.374999999999996		28.1
	19.46875		19.3	27.700000000000003		27.4
	19.043750000000003		18.9	27.137500000000003		27.5
	18.81875		18.9	26.712500000000002		26.8
	18.49375		18.8	26.593749999999996		26.3
	18.468749999999996		18.7	27.106249999999996		26.7
	18.64375		18.6	26.475		26.7
	18.843750000000004		18.8	26.806250000000006		26.6
	18.59375		18.3	26.875000000000004		26.7
	18.325		18.2	26.987500000000004		26.8
	18.33125		18.4	27.0625		27.4
	18.4625		18.5	27.200000000000003		27.5
	18.325		18.4	27.31875		26.6
	18.48125			26.70625
	18.425			27.174999999999997
	18.2875			26.950000000000003
	18.549999999999997			26.5125
	18.15			26.456250000000004
	17.787499999999998			26.118749999999995
Sep.	17.3875			25.33125
	17.51875			26.10625
	17.31875			27.199999999999996
	17.456250000000004			26.45
	16.95			25.993750000000002
	16.6875			25.64375
	16.74375			24.425
	16.61875			24.268750000000004
	16.450000000000003			22.993750000000002
	16.2625			23.125
	15.700000000000001			23.874999999999996
	15.5625			25.243750000000002
	16.11875			25.324999999999996
	16.675			25.08125
	17.231250000000006			24.875
	16.63125			24.18125
	16.1			24.825000000000003
	15.8125			25.13125
	14.2			23.943749999999998
	14.06875			23.612500000000004
	14.231250000000003			23.618750000000002
	14.268749999999999			22.093750000000004
	14.706249999999999			21.731250000000003
	14.631249999999998			21.868750000000006
	14.1875			21.643750000000004
	13.612499999999999			21.8375
	13.175			22.025
	12.75			21.818749999999998
	12.7375			21.456249999999997
	12.94375			20.462500000000002
Okt.	12.4125			21.212500000000006
	12.093750000000002			20.937499999999996
	11.493749999999999			20.3875
	11.26875			20.612499999999997
	10.993750000000002			20.3
	11.093750000000002			18.743750000000002
	10.58125			19.293750000000003
	11.062500000000004			19.862500000000004
	11.337500000000002			20.05
	10.8875			20.106250000000003
	10.237499999999999			19.337500000000002
	10.09375			19.41875
	11.1			19.2375
	10.731250000000001			18.96875
	10.768749999999999			19.368750000000002
	10.05625			18.849999999999998
	9.30625			18.456249999999997
	9.4125			17.76875
	9.687499999999998			16.90625
	9.912499999999998			17.01875
	10.006250000000001			17.53125
	9.9625			18.13125
	10.356250000000001			19.0875
	11.0875			19.5375
	10.018750000000002			17.537499999999998
	8.5625			16.849999999999998
	8.83125			16.650000000000002
	8.89375			16.737499999999997
	8.575			16.349999999999998
	8.60625			16.14375
	8.6875			17.1375
Nov.	9.0625			16.85625
	9.618749999999999			16.5625
	9.750000000000002			16.837500000000002
	8.887500000000001			16.368750000000002
	7.893750000000001			15.843749999999996
	7.893750000000001			16.568749999999998
	8.6125			16.33125
	8.35			16.575000000000003
	8.293750000000001			16.381249999999998
	6.687499999999999			15.318750000000001
	6.01875			13.64375
	6.35			14.987500000000002
	6.081250000000001			14.96875
	5.437499999999999			15.143750000000002
	6.431250000000001			14.668750000000001
	6.087499999999999			14.28125
	5.09375			12.674999999999999
	3.6187500000000004			12.343749999999998
	4.093749999999999			14.075000000000003
	4.218749999999999			13.025
	4.16875			12.43125
	4.3062499999999995			13.3375
	3.46875			12.36875
	2.45			12.199999999999998
	3.0374999999999996			12.206249999999999
	4.05			14.068750000000001
	4.08125			12.818749999999998
	4.4125			11.21875
	4.34375			11.85
	4.65625			11.7
Dez.	3.6625			11.6625
	1.9812500000000002			9.787500000000001
	0.4312499999999999			8.825
	-0.02499999999999991			9.625000000000002
	0.6937499999999999			11.05
	0.9375000000000001			10.05625
	2.36875			11.15
	3.0125			12.36875
	2.15625			11.062499999999998
	1.78125			11.08125
	0.7812500000000001			9.862499999999999
	1.3437500000000002			10.450000000000001
	2.0562500000000004			10.674999999999999
	1.625			10.424999999999999
	2.675			11.275
	2.15			11.48125
	0.10000000000000016			9.6

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

33°C

Höchste Temperatur

8 Jul. 26

-3°C

Niedrigste Temperatur

22 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust30.04°C

Kältester MonatJanuar2.25°C

Nassester MonatJuni11.49mm

Windigster MonatJuli12.34km/h

Fuan 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 Fuan?

Juli ist historisch gesehen der heißeste Monat in Fuan, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2022-07-24 erreicht.

2. Was ist der historisch kälteste Monat in Fuan?

Januar ist der kälteste Monat in Fuan, mit durchschnittlichen Tiefstwerten von etwa 2°C. Der Allzeit-Rekordtiefstwert von -10°C wurde am 2016-01-25 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Fuan beträgt etwa 2014.5mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Fuan verzeichnet historisch gesehen etwa 242.1 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 27 Tagen.

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

Die höchste jemals in Fuan gemessene Temperatur beträgt 36°C am 2022-07-24.

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

Die niedrigste jemals in Fuan gemessene Temperatur beträgt -10°C am 2016-01-25.

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

Fuan erlebt seine stärksten Winde während Juli. Der historische Böenrekord von 34.4 km/h wurde am 2018-07-11 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Fuan im Juni etwa 89.4% und fällt im Dezember auf etwa 79.9%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Fuan 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

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

Fuan 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

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