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

Fukuyama Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.9187500000000002	1.1		8.0375	7.5
	1.6687500000000004	-0.5		9.306250000000002	5
	1.625	-0.7		8.950000000000001	7
	1.78125	0.3		9.59375	10.3
	1.8187500000000003	3.1		8.80625	11.2
	2.45	1.7		8.525	9.4
	1.6375000000000004	2.7		8.15625	11
	1.5312500000000002	0.4		8.38125	6.4
	1.5625	0.1		8.15	8.7
	1.1312499999999999	1.6		8.049999999999999	12.7
	0.5999999999999999	-0.8		8.14375	5.5
	1.0374999999999999	-1.1		7.98125	7.1
	1.0562500000000001	4.1		7.75	12.7
	1.30625	1.1		8.706249999999999	9.3
Jan.	1.6937500000000003	3.3		8.606250000000001	12.5
	1.1375	6.4		8.58125	15.5
	1.14375	5		8.60625	15.1
	1.0375	2.4		8.775000000000002	12.3
	1.24375	2.2		8.593749999999998	12.4
	1.96875	-0.1		9.450000000000001	11
	1.7374999999999998	-0.9		9.35	7.4
	1.9562499999999998	-1.3		9.14375	3.6
	1.6125000000000003	-1.4		8.018749999999999	6.4
	0.4312499999999999	-2		7.2375	7.3
	-0.04375000000000001	-1.4		7.474999999999999	6.6
	0.33125000000000004	-2.5		7.800000000000002	6.6
	0.9437500000000001	-0.2		8.643749999999999	9
	1.1937499999999999	-1.5		8.643749999999999	9.2
	0.8999999999999999	-1.8		7.95	7.9
	1.1	-1.6		8.73125	7.5
	0.9312500000000001	-1.5		8.33125	8.6
	1.20625	-1.2		8.975	8.6
	1.375	-2.2		9.325000000000003	7.7
	1.4749999999999999	-2.3		9.431250000000002	9.1
	0.8624999999999998	0.3		8.668750000000001	12.3
	0.6375000000000002	2.8		7.4375	13.9
	0.74375	5.3		8.075	14.1
	0.6499999999999999	1.6		8.53125	8.7
	0.3812500000000001	-3.9		8.075	2.8
	0.88125	-5.7		8.3375	7.1
	1.41875	-1.3		8.5375	8.7
	0.7375	3.5		8.256250000000001	10
	1.025	1.1		9.006250000000001	12.1
	2.3	0.8		9.2125	13.2
	2.1562499999999996	3.6		10.243749999999999	14.4
Feb.	2.3625000000000003	6.9		10.337499999999999	18
	1.5250000000000001	4.7		9.23125	13
	0.8937499999999998	1.4		8.868750000000002	10.1
	0.7	1.3		8.649999999999999	11.6
	1.63125	-1.4		8.9875	9.1
	2.15	2.1		10.4875	13.1
	1.8	2.8		9.825000000000001	14.9
	2.0875	5		10.643749999999999	18.4
	2.806250000000001	6.4		11.1625	16.7
	1.99375	4.9		11.243749999999999	16
	2.26875	9.1		11.71875	11
	3.1375	7		10.78125	16.2
	2.8124999999999996	10.1		11.975	15.8
	2.9937499999999995	5.8		12.612499999999999	13.6
	4.31875	3		11.75	14.9
	3.675	6.4		11.7125	13.7
	2.675	6.6		10.743749999999999	12.1
	2.73125	4.2		11.75	11.9
	4.10625	1.8		12.90625	12.1
	4.45	4		11.868749999999999	13.3
	3.6312499999999996	3		11.31875	11
	4.1312500000000005	1.1		12.562499999999998	10.2
	3.5875000000000004	1.5		12.1875	10.6
	3.075	2.2		11.649999999999999	10.2
	3.3	0.5		12.906249999999998	11.1
	3.93125	1.7		14.206249999999999	12.2
	5.0062500000000005	1.4		13.993749999999999	9.4
	4.0874999999999995	1.7		13.4875	13.4
Mär.	4.518750000000001	2		14.081249999999999	12.2
	4.45	3		14.093750000000002	13.9
	3.8125000000000004	3.3		13.774999999999997	14.3
	4.58125	5.2		14.2125	13.1
	5.999999999999999	6.6		14.6375	15.4
	5.63125	2.8		15.318750000000005	15.2
	5.337499999999999	3.1		13.700000000000001	14.2
	4.4624999999999995	4.5		14.312499999999998	15.3
	4.843750000000001	7.9		14.062500000000002	16.9
	5.1312500000000005	4.2		14.287500000000001	16.3
	5.46875	9.2		13.537500000000001	14.6
	5.318749999999999	7.7		14.437499999999998	16.2
	5.187500000000001	5.8		15.218749999999998	17.9
	6.15625	8.4		16.125	19.8
	6.5625	8.3		15.956249999999997	20.2
	6.175	9.6		16.4125	20.7
	6.375000000000001	12		16.48125	19.4
	6.9125000000000005	10.6		16.500000000000004	11.9
	7.206249999999999	8.1		16.45625	15.5
	6.856249999999999	8.2		17.30625	18.6
	7.19375	12.5		17.131249999999998	18.4
	7.868749999999999	11.3		16.9375	18.4
	8.625	10.9		17.137500000000003	20.3
	6.7375	7.1		16.39375	15.8
	7.6	4.9		17.2	14.4
	7.2875000000000005	7.2		17.675000000000004	14.1
	7.375000000000002	11.7		17.337500000000002	19.5
	8.44375	11.1		17.531249999999996	20.2
	7.7749999999999995	12.4		17.4	19.5
	8	13.7		17.075	20.9
	8.4	14.6		17.224999999999998	20
Apr.	8.35625	14.9		17.59375	16
	8.50625	11.7		19.11875	20.3
	9.075	9.6		19.29375	19.7
	9.2875	13.1		19.725	20.7
	10.075	15.3		19.212500000000002	21.3
	9.5	14.9		19.4375	22.9
	10.575000000000001	12.5		20.418750000000003	20.6
	10.518749999999999	10.2		19.662499999999998	19.4
	10.425000000000002	11		19.937499999999996	12.6
	10.918750000000001	11.1		19.175	18.6
	10.124999999999998	9.1		20.15	19.2
	9.75	12.1		20.08125	21.1
	10.275000000000002	13.9		20.56875	21.4
	10.043750000000001	13.8		19.200000000000003	22.3
	10.7875	14.7		19.80625	18.7
	10.875	10.8		20.875000000000004	13.4
	11.41875	12.6		21.231249999999996	17.4
	11.075000000000001	10.5		20.91875	23.4
	11.11875	14.3		21.14375	17.1
	11.675	11.4		21.9125	17.7
	11.79375	9		22.381249999999998	19.5
	12.4625	11		22.70625	20
	12.79375	12.7		20.943749999999998	22.9
	11.83125	12.4		22.468750000000007	20.9
	11.63125	10.2		21.256249999999998	19.4
	12.031249999999998	9.7		21.368750000000002	20.7
	12.874999999999998	12		22.525000000000002	22.4
	12.537499999999998	13.1		22.156250000000004	22.4
	13.09375	14.3		22.468749999999996	23.4
	12.931249999999999	14.6		23.18125	24
Mai	13.05	13.7		23.487499999999997	24.7
	13.924999999999997	14.1		23.693749999999998	24.7
	14.200000000000001	14.8		24.13125	25.9
	14.15	15.9		24.28125	27.4
	14.2375	16		23.956249999999997	26.6
	14.487500000000002	17.2		23.718749999999996	25.5
	14.631249999999998	19.7		24.58125	21.4
	14.193750000000001	16.4		25.056250000000002	23.8
	14.268749999999999	15.9		24.343749999999996	20.9
	14.68125	18.4		24.65	24.3
	14.956250000000002	18.4		25.762500000000003	26.3
	15.125	17.8		23.437499999999996	26.2
	15.143750000000002	18.9		23.931250000000002	20.7
	15.156250000000002	19.5		24.9125	21.8
	15.456249999999999	17.2		24.54375	28.1
	15.15	15.4		23.987500000000004	26.4
	15.4375	19.1		24.93124999999999	27.6
	14.943750000000001	17.5		25.075	27.5
	15.887500000000001	18.1		25.13125	20.5
	15.299999999999999	18		25.368750000000002	26.7
	15.206249999999999	17.4		25.762500000000003	24.1
	15.693750000000001	19		24.93125	21.1
	15.806249999999999	18.7		24.725	25.7
	16.55625	18.3		25.406250000000004	19.6
	16.893749999999997	16.8		25.09375	21.8
	16.887500000000003	16.3		25.9375	23.7
	17.406249999999996	15.3		25.731250000000003	24.1
	17.775000000000002	15.4		25.450000000000003	25.7
	17.80625	15.8		25.943749999999994	25.9
	17.687499999999996	17.1		25.40625	25.9
	17.99375	18.2		25.30625	24.2
Jun.	18.2125	17.9		26.09375	24.8
	18.150000000000002	17.9		26.737499999999997	24.8
	18.006249999999994	18		27.40625	26.6
	18.856250000000003	19		26.156249999999996	28.1
	18.462500000000002	21.2		26.987500000000004	27.6
	18.53125	21.8		26.7125	23.9
	19.124999999999996	19.8		26.18125	25.1
	18.54375	19.1		26.518749999999997	23.6
	18.9875	17.8		27.09375	22.9
	19.200000000000003	18.8		27.862499999999997	20.1
	19.6375	19.1		27.531250000000004	20.8
	20.087499999999995	18.2		25.96875	21.1
	20.275	18.8		27.3125	25.8
	20.0375	20.5		27.637500000000003	24.3
	20.731250000000003	19		28.24375	27.2
	20.45	20.4		28.13125	27
	21.025	20.8		28.400000000000006	21.7
	21.21875	21.1		29.287499999999994	28.5
	21.5875	18.8		28.7	26.9
	22.037499999999998	20.1		28.293750000000003	21.8
	21.606250000000006	21.5		28.3625	23
	21.36875	22.1		28.718749999999996	25.3
	21.768750000000004	22.6		28.65	28.3
	21.906249999999996	23.6		29.431250000000002	28.8
	22.206249999999997	22.9		29.20625	29.3
	22.000000000000004	22.4		29.987500000000004	30.2
	22.16875	22.2		30.3	30.6
	22.59375	23.3		29.275	31.5
	22.356250000000003	24.7		29.218749999999996	33.7
	22.20625	24.8		28.95625	32.8
Jul.	22.21875	24.5		29.60625	30.7
	22.493749999999995	24.5		29.968750000000004	33.2
	22.156249999999996	24.5		30.181250000000002	32.7
	22.6625	25.4		30.15625	33.1
	22.81875	25.6		30.112500000000004	33.2
	23.193749999999994	26.1		31.425000000000004	33.1
	23.425000000000004	25.8		31.443749999999998	33.7
	23.493750000000002	26		31.48125	34
	23.400000000000006	25.9		31.524999999999995	34
	23.399999999999995	26.1		31.975	34.8
	23.606250000000003	25.6		31.89375	34.4
	23.80625	25.8		32.324999999999996	34.9
	23.59375	26.1		31.8875	34.4
	23.812499999999996	26.1		31.799999999999997	34.7
	24.18125	24.3		32.425	32.5
	24.225000000000005	25.4		32.724999999999994	35
	24.5375	23.9		32.7375	34.8
	24.5625	24.6		33.137499999999996	36.1
	24.38125	25.8		33.175	35.6
	24.59375	26.7		32.8625	34.4
	24.881250000000005	26.6		32.93125	31.1
	24.88125	25.9		33.20625	34
	24.8375	25.5		32.825	34.3
	24.531250000000004	26.8		32.4375	33.5
	24.10625	24.8		33.018750000000004	33.4
	24.312499999999996	25.5		31.95625	32.4
	24.318749999999998	24.8		32.349999999999994	32
	24.225	20.2		32.4125	31.7
	24.1125	21.4		31.356249999999996	29.6
	23.85625		22.7	32.65		30.7
	24.425		23.1	32.40625		30.9
Aug.	24.331249999999997		23.9	31.525		31.4
	24.35		24	31.812500000000004		31.9
	23.950000000000003		24.5	31.175		32.5
	23.36875		25	31.868749999999995		32
	23.568749999999998		24.5	31.5125		33.1
	24.074999999999996		24.5	31.287499999999998		33.1
	24.018749999999997		24.1	32.26874999999999		32.1
	24.51875		24.3	32.225		32.2
	24.231250000000003		23.9	31.687500000000004		31.4
	23.63125		23.3	31.224999999999994		31.2
	23.90625		23.6	31.31875		31.2
	23.28125		22.9	31.1875		31
	22.962500000000006		22.8	31.099999999999998		30.7
	23.187500000000004		23.1	30.737500000000004		30.7
	23.375		23.8	31.231250000000003		30.6
	23.462500000000002		23.3	30.493750000000002		30.6
	23.081249999999997		22.9	30.175		30.2
	22.65		22.3	28.693749999999994		28.7
	22.231249999999996		22	29.562499999999996		30
	22.181249999999995		22.5	29.968750000000004		29.8
	22.987499999999997		22.8	28.98125		29
	22.374999999999996		22.3	30.031250000000004		30
	22.39375		22.3	29.875		30.1
	22.23125		22.2	29.65625		29.8
	21.875000000000004		21.5	29.499999999999993		29.3
	21.5		21.2	29.475		29.4
	21.250000000000004		20.7	29.718750000000004		29.9
	21.562500000000004		21.4	29.318749999999994		29.3
	21.4375		21.3	29.456249999999997		28.9
	21.4625			29.43125
	21.368750000000002			29.018750000000004
Sep.	21.075			28.806250000000002
	21.10625			28.175
	21.250000000000004			28.5
	21.03125			28.418749999999996
	20.075000000000003			27.662499999999998
	19.0375			26.18125
	18.675			27.08125
	19.34375			26.66875
	18.318749999999998			25.84375
	17.931250000000002			25.80625
	17.95625			26.3625
	18.656249999999996			26.756249999999998
	18.687500000000004			26.337500000000002
	18.40625			26.8875
	18.20625			26.425
	17.76875			25.73125
	17.59375			25.55
	17.40625			25.5875
	16.9875			25.624999999999996
	16.94375			24.593750000000004
	17.04375			23.499999999999996
	16.35			24.19375
	16.318749999999998			24.69375
	16.2125			24.05
	16.08125			23.543750000000003
	16.4875			24.449999999999996
	16.2375			24.162499999999998
	15.83125			23.23125
	14.850000000000001			23.23125
	14.84375			23.26875
Okt.	15.012499999999998			22.549999999999997
	14.000000000000002			22.5875
	13.950000000000001			22.08125
	14.006249999999998			21.95
	13.918750000000001			21.76875
	13.70625			22
	13.5875			21.412499999999994
	14.100000000000001			21.312500000000004
	13.9625			20.96875
	13.212499999999997			20.612499999999997
	12.175000000000002			19.5125
	11.53125			20.34375
	11.4875			20.09375
	11.425000000000002			19.650000000000002
	11.712499999999997			19.15
	11.124999999999998			19.150000000000002
	10.931250000000002			19.18125
	10.906250000000002			19.26875
	11.275			19.14375
	11.468749999999998			18.99375
	10.08125			18.887500000000003
	10.1			19.218750000000004
	11.137500000000001			19.70625
	10.93125			18.799999999999997
	11.7125			18.462500000000002
	10.674999999999999			17.775
	9.793750000000001			16.91875
	9.2125			16.6375
	9.7625			17.09375
	9.531249999999998			16.806250000000002
	9.43125			17.025
Nov.	8.76875			16.568749999999998
	8.55			16.4875
	8.475			16.3
	9.0875			15.64375
	7.762499999999999			15.2375
	7.831249999999999			15.8625
	7.4375			16
	7.893750000000001			15.175000000000002
	8.4125			15.762500000000001
	7.443749999999999			14.612500000000002
	7.3187500000000005			13.95625
	6.7250000000000005			14.33125
	6.76875			14.2875
	7.068749999999999			13.712499999999999
	6.356250000000001			13.85625
	6.375			14.174999999999997
	6.018750000000001			13.350000000000001
	4.95625			12.2
	5.2124999999999995			12.624999999999998
	5.381249999999999			12.581249999999999
	4.78125			11.718749999999998
	5.137499999999999			11.950000000000001
	4.6125			11.706249999999997
	3.7375			11.174999999999999
	4.13125			11.1875
	4.60625			12.206249999999999
	5.1499999999999995			11.412500000000001
	4.593750000000001			10.6125
	4.275			10.362499999999999
	3.75625			11.275
Dez.	3.5375000000000005			10.731250000000001
	3.5124999999999997			9.799999999999999
	2.625			7.987499999999998
	2.1249999999999996			8.54375
	2.35			9.6
	2.9499999999999997			9.781249999999998
	3.15			9.675
	3.3812499999999996			9.80625
	3.8625			9.94375
	2.9749999999999996			9.9625
	2.21875			8.543750000000001
	1.9062499999999998			8.068750000000001
	2.24375			8.5
	1.875			9.38125
	2.0625			8.999999999999998
	2.2562500000000005			9.5875
	1.8866666666666667			8.886666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

36°C

Höchste Temperatur

1 Aug. 26

-6°C

Niedrigste Temperatur

9 Feb. 26

Saisonale Aufschlüsselung

Heißester MonatAugust33.17°C

Kältester MonatJanuar0.52°C

Nassester MonatJuni12.7mm

Windigster MonatJanuar19.64km/h

Fukuyama 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 Fukuyama?

August ist historisch gesehen der heißeste Monat in Fukuyama, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 37°C am 2020-08-16 erreicht.

2. Was ist der historisch kälteste Monat in Fukuyama?

Januar ist der kälteste Monat in Fukuyama, mit durchschnittlichen Tiefstwerten von etwa 1°C. Der Allzeit-Rekordtiefstwert von -6°C wurde am 2026-02-09 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Fukuyama beträgt etwa 1486.5mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Fukuyama verzeichnet historisch gesehen etwa 169.5 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 17.8 Tagen.

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

Die höchste jemals in Fukuyama gemessene Temperatur beträgt 37°C am 2020-08-16.

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

Die niedrigste jemals in Fukuyama gemessene Temperatur beträgt -6°C am 2026-02-09.

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

Fukuyama erlebt seine stärksten Winde während Januar. Der historische Böenrekord von 55.4 km/h wurde am 2012-04-03 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Fukuyama im Juli etwa 78.6% und fällt im April auf etwa 68.9%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Fukuyama 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

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

Fukuyama 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

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