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

Hefei Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.19375000000000006	1		9.893749999999999	4.2
	1.1875	-1.3		9.756250000000001	5.1
	1.275	-0.1		9.71875	8.2
	1.5062499999999999	3.9		8.7625	8.7
	1.9499999999999997	4.5		8.21875	7.4
	1.4937499999999997	3		8.225	8.4
	0.22499999999999992	1.2		6.8625	9.9
	0.28750000000000003	2		7.906250000000001	9.7
	-0.13124999999999992	3.7		7.9375	13.3
	0.23124999999999998	3.5		7.268749999999999	9.2
	0.54375	-1.4		8.125000000000002	6.2
	0.30000000000000004	2.3		9.46875	15.1
	0.9874999999999999	6.2		9.918750000000001	15.7
	1.0187499999999998	8.3		10.06875	18.6
Jan.	0.17499999999999993	7.9		7.675	18.2
	0.12499999999999996	9.7		7.45	20.1
	0.55625	6		9.19375	14.5
	0.39375	5.8		9.45625	14.8
	1.4625	-0.1		10.50625	8.9
	1.6125000000000005	-4		9.19375	-0.4
	0.7250000000000001	-6.7		7.7749999999999995	0.5
	0.5937500000000001	-4.1		7.956250000000001	3.8
	0.26250000000000007	-0.7		8.431249999999999	8.9
	0.3374999999999999	2.2		8.11875	11.4
	0.56875	3.8		7.4312499999999995	9.5
	-0.18750000000000006	4		7.874999999999999	6.4
	0.5062500000000001	3.5		7.856249999999999	6.9
	0.8625000000000002	4.2		7.86875	9.3
	0.6687500000000002	3		8.75625	10.6
	0.8062500000000002	2.5		9.74375	6.2
	1.9250000000000005	1.9		10.025000000000002	4
	1.5375	2.3		8.962499999999999	8.8
	0.8375000000000001	4.2		8.099999999999998	11.7
	0.4500000000000001	4.4		8.768749999999999	12.4
	0.10000000000000009	7.1		9.15	15.5
	0.7374999999999999	10.7		9.206249999999999	14
	1.3062499999999997	1.3		9.425	10.4
	0.8812499999999998	-0.8		8.5875	3.6
	0.7562500000000001	-0.2		7.35625	6.5
	0.16249999999999995	0.5		8.0125	6.2
	0.725	2		9.206249999999999	11.6
	1.69375	3.8		9.625	13.4
	2.3249999999999997	6.2		10.25	15.9
	2.4875	8.3		11.1375	17.6
	3.5124999999999997	10.3		11.26875	20
Feb.	2.3499999999999996	4		10.1125	20.2
	2.3999999999999995	2.2		10.887500000000001	6.6
	2.5562500000000004	2.4		10.737499999999999	8.2
	2.5562500000000004	4.1		10.325	11.9
	2.1624999999999996	7.5		12.068750000000003	15
	2.0500000000000003	7.3		11.131250000000001	20.5
	2.0625	9.5		11.262500000000001	22.3
	3.3562500000000006	10.6		11.556249999999999	18.3
	3.0625000000000004	7.2		12.15	13.6
	4.1875	5.9		13.30625	9.1
	4.65	5.1		13.00625	13.7
	4.518749999999999	7.5		13.05	9.6
	4.4125000000000005	7.1		12.943750000000001	9
	5.5	8		13.318749999999998	15.3
	5.250000000000001	9.4		12.325000000000001	11.3
	3.5000000000000004	7.4		12.737500000000002	9.3
	4.2375	5.7		13.287500000000001	11.9
	4.875	5.8		15.343750000000004	14.3
	6.374999999999999	6.5		13.024999999999999	13.6
	5.3625	5.3		12.981250000000001	13.9
	4.875	2.9		14.412500000000001	11.4
	5.86875	3.5		15.850000000000001	13.7
	5.6875	6.8		16.3125	13.7
	5.1187499999999995	5.1		15.875000000000004	15.9
	6.4312499999999995	8.1		16.918750000000003	15.3
	7.4625	7.6		18.262500000000003	14.1
	7.087500000000001	6.3		16.73125	15.9
	7.1812499999999995	6.4		17.55	18.3
Mär.	6.999999999999999	8.3		17.775	11.6
	7.412499999999999	7.4		16.918750000000003	8.2
	7.2375	7.6		17.018750000000004	8.6
	8.18125	8.3		16.6875	13.6
	8.70625	6.8		16.39375	14.4
	8.018749999999999	9.1		15.368750000000002	15.2
	6.85	7.9		16.13125	17.4
	7.787500000000001	11.4		17.775	20.5
	7.75	11.8		17.237499999999997	16.1
	8.437499999999998	10.4		16.93125	12.7
	8.4625	9.3		17.793750000000003	19.1
	8.08125	12.4		19.88125	15.7
	9.04375	11.9		19.9625	18.5
	9.487499999999999	10.1		20.89375	19.3
	9.462500000000002	12.9		20.075	23.7
	10.325	11.5		19.05	18.5
	10.29375	10.4		19.325000000000003	16.3
	10.550000000000002	10.9		20.506249999999998	23
	10.34375	13.6		20.69375	21.3
	10.80625	13.9		20.4125	17.1
	9.981250000000001	10.6		19.181250000000002	21.7
	9.825	14.3		19.056250000000002	26.9
	9.337499999999999	15.7		18.731249999999996	21.4
	9.575	11.6		19.71875	21.2
	10.512500000000001	11.6		21.9875	20.3
	10.525	16.4		22.2625	20.2
	11.5875	15.9		22.96875	26.7
	12.549999999999999	13.9		22.018749999999997	20.8
	11.75	11.6		21.006249999999998	15.6
	11.325	12.8		21.162499999999998	17.7
	11.30625	14.4		21.424999999999994	19.1
Apr.	12.256250000000001	13.6		23.89375	22.1
	13.10625	15.7		23.8625	19.7
	13.537500000000001	14.6		25.28125	25.6
	14.243749999999999	16.8		23.706250000000004	25.5
	13.618749999999999	14.5		23.281249999999996	26.5
	13.349999999999998	12		22.931250000000002	15.7
	13.59375	11.1		21.625000000000004	16.8
	13.424999999999999	10.9		21.837500000000002	11.5
	13.73125	10		23.437500000000004	14.4
	14.0375	9.1		23.75625	20.8
	14.175	12.8		23.325000000000003	23
	14.06875	15		23.556249999999995	27.3
	14.1875	17.9		24.6875	28.6
	14.30625	10.8		24.531249999999996	17.1
	14.0375	10.1		25.506250000000005	17.9
	15.237499999999997	9.5		26.84375	20.5
	15.85	12.4		27.200000000000003	24.5
	15.949999999999998	14.5		25.793749999999996	17.8
	15.525	14		26.568749999999998	23.3
	16.30625	14.8		26.125	27.2
	16.425	16		26.825	27.6
	16.706249999999997	17.8		25.6375	28.9
	16.425	18.1		26.906249999999996	22.8
	17.275	14.7		25.049999999999997	22.3
	16.5625	13.9		25.156249999999996	26
	16.35	15.6		25.375	28.6
	15.849999999999998	18.3		25.525000000000002	31.9
	16.518749999999997	21.7		27.525000000000002	32.9
	17.187499999999996	22.4		28.987500000000004	31.9
	18.53125	21.6		28.06875	28.2
Mai	18.150000000000002	19.4		26.35625	28.4
	17.243750000000002	19.9		26.543750000000003	31
	17.675	20.2		27.83125	31.5
	18.518749999999997	20.4		28.781250000000004	25.2
	18.94375	20.2		28.44375	21.9
	18.8875	19.3		28.756250000000005	24.4
	18.556250000000002	17		27.662499999999998	27.2
	18.25625	19.9		27.10625	29.3
	17.66875	22.6		27.075000000000003	31.7
	17.9625	23		28.168749999999996	28.1
	19.59375	23.1		29.418750000000003	31.6
	19.73125	20.2		27.343750000000004	24.5
	19.850000000000005	19.1		28.712500000000002	26.2
	19.29375	21.8		28.212500000000006	32.3
	19.5625	22.2		28.66875	29.3
	19.6375	22.1		28.268749999999997	29.3
	19.837500000000002	18.9		27.78125	30
	20.031250000000004	21.4		28.893750000000004	32.6
	20.31875	23.8		28.706249999999997	32.7
	19.9625	23.7		28.51875	32.2
	20.099999999999998	22.8		28.812500000000004	33
	20.068749999999998	22.6		29.65625	32.7
	20.53125	20.7		29.35	31.4
	20.549999999999997	21		29.5	25.3
	20.78125	19.4		30.000000000000004	24.5
	21.54375	17.6		30.5	29.1
	22	18.9		29.856249999999996	31.7
	21.218749999999996	21.5		30.337500000000002	34.3
	21.912499999999998	23.3		31.112500000000004	34
	22.35	20.5		30.618750000000002	27.5
	21.79375	18.4		31.1875	32
Jun.	22.306250000000002	20.9		31.393750000000004	29.9
	22.781250000000004	21.6		30.6625	31.1
	22.543749999999996	22		30.287500000000005	34
	22.7	24.6		30.268749999999997	27.8
	22.375000000000004	22.3		30.200000000000003	26.5
	22.681250000000002	22		30.031250000000004	30
	22.474999999999994	23.1		29.787499999999994	31.1
	22.137500000000003	20.4		29.968749999999996	21.8
	22.74375	19.7		30.343750000000004	25.3
	22.54375	20.2		30.10625	25.6
	22.05	20.8		29.56875	29.8
	22.374999999999996	22.1		29.8875	31.2
	22.55	22.4		30.09375	32
	23.44375	23.5		29.725	33.3
	23.2625	24.4		30.575	31.5
	23.743749999999995	22.9		30.60625	29.3
	24.01875	22.7		31.3375	32.8
	24.662499999999998	23.4		31.5375	33.5
	24.512500000000003	22.5		31.406249999999996	25.5
	24.29375	22.8		30.70625	24.9
	23.9375	24.2		30.23125	27.9
	23.975	25.1		31.256250000000005	28.2
	24.3375	24.4		31.212500000000002	28.5
	24.225	24.1		31.60625	32.8
	24.481249999999996	24.3		31.5125	33.8
	24.724999999999994	25.4		32.543749999999996	34.7
	24.68125	24.5		31.993750000000002	33.1
	24.650000000000002	25.6		31.2875	28.4
	24.625	25.2		31.73125	27.3
	24.681250000000002	25		31.793749999999996	34.9
Jul.	24.687500000000004	26.9		31.374999999999996	33.9
	24.2	26.9		30.406249999999996	33.7
	24.06875	24.7		30.275	34.1
	24.750000000000004	24.3		31.462499999999995	26.6
	24.79375	24.2		31.7125	27
	24.5375	23.3		31.337500000000002	27.5
	25.2375	24.1		32.33125	27.7
	25.6125	23.5		33.59375	26.7
	25.787500000000005	24.6		33.668749999999996	26.5
	25.912499999999998	23.9		33.60000000000001	31.2
	25.85	25.6		33.59375000000001	34.8
	25.843749999999996	26.7		33.575	34.8
	25.950000000000003	25		33.15625	28.9
	25.556250000000002	25		32.95625	26.5
	25.875	25.2		33.675	32.1
	26.0625	25.5		34.38125	33.5
	26.26875	25.3		33.94375	33.4
	26.325000000000003	25.1		33.5125	33.8
	26.243749999999995	25.7		34.2	35.3
	26.025000000000006	25.2		34.05	35.4
	26.33125	25.5		34.06250000000001	33.8
	26.56875	25		34.49375	33.7
	26.762500000000003	25.7		34.58125	34.1
	26.187499999999996		25.8	33.78125		33.5
	25.781250000000004		24.7	33.324999999999996		33.3
	25.568749999999998		23.2	33.09375		30.8
	25.274999999999995		23.7	32.131249999999994		26
	25.58125		23.9	32.125		25.5
	25.412500000000005		23.2	32.675		25.7
	25.106250000000003		22	32.131249999999994		23.6
	25.2625		21.6	33.29375000000001		22
Aug.	25.537499999999994		20.9	33.268750000000004		22
	25.468749999999996		25.4	32.4		32.4
	25.275000000000002		25.5	32.5		32.7
	25.34375		25.4	33.21875000000001		33.7
	25.231250000000006		25.5	33.525		33.4
	25.206249999999997		24.9	32.29375		32
	24.637499999999996		24.3	32.6		32.3
	24.19375		24.2	31.94375		32.1
	23.85625		24	31.356250000000003		31.7
	23.5875		23.9	31.08125		31.3
	23.537499999999998		23.5	31.1		31.1
	23.4		23.4	30.137500000000003		29.9
	22.80625		22.6	29.21875		29.3
	22.3		22.5	29.831249999999997		30.1
	22.7125		22.4	30.437500000000004		30.3
	22.35625		22.2	30.06875		29.6
	22.306250000000002		22.2	29.5875		29.3
	22.1		22.2	29.3375		29.4
	22.09375		21.7	29.499999999999996		29.4
	22.13125		21.8	29.36875		28.9
	21.706250000000004		21.8	29.462500000000002		29.8
	21.874999999999996		21.9	29.668749999999996		30
	21.65625		21.8	29.168750000000003		28.9
	21.5875			29.45
	21.2			29.64375
	21.4375			29.450000000000003
	21.549999999999997			29.225
	21.55			28.575000000000006
	20.662499999999998			28.5625
	20.58125			28.206249999999994
	21.28125			28.743750000000006
Sep.	21.243749999999995			29.04375
	21.025000000000002			28.537499999999998
	20.44375			28.687499999999996
	19.981249999999996			27.312499999999996
	19.95625			28.24375
	19.14375			26.900000000000002
	19.243750000000002			27.356250000000003
	18.543750000000003			26.89375
	18.375			26.562500000000004
	17.95625			26.08125
	19.13125			26.150000000000002
	19.706249999999997			27.26875
	19.89375			26.93125
	20.26875			28.09375
	18.400000000000002			25.64375
	18.09375			26.037499999999998
	17.90625			26.018749999999994
	18.031249999999996			25.8625
	17.462499999999995			25.85
	16.693749999999998			25.575
	16.037499999999998			24.006250000000005
	16.40625			23.675
	16.099999999999998			22.868749999999995
	16.5625			23.425
	16.3625			25.38125
	15.643749999999999			24.525000000000002
	15.431249999999999			23.5875
	15.28125			23.58125
	15.562499999999998			22.581249999999997
	15.862499999999999			22.600000000000005
Okt.	14.993749999999999			22.4
	14.749999999999998			22.518749999999997
	14.9875			22.5
	14.137500000000001			22.19375
	13.893749999999999			22.3
	13.981250000000001			21.975
	13.6125			21.131249999999998
	14.018750000000002			22.493750000000002
	13.549999999999997			22.175000000000004
	12.762499999999998			21.681250000000002
	12.80625			20.79375
	12.518749999999999			21.0375
	12.8625			20.431250000000002
	12.925			21.074999999999996
	12.65625			20.8375
	12.63125			20.306250000000002
	12.493750000000002			21.125
	12.5875			21.275
	12.2			20.24375
	12.181250000000002			21.118750000000002
	12.131249999999998			20.24375
	12.03125			19.737499999999997
	11.356250000000003			19.681250000000002
	10.53125			19.13125
	10.24375			18.037499999999998
	10.11875			18.275000000000002
	10.375			18.031250000000004
	10.53125			18.125
	9.825000000000001			17.718750000000004
	9.48125			18.1625
	9.63125			17.893749999999997
Nov.	10.012500000000001			18.362499999999997
	9.974999999999998			17.9625
	9.862499999999999			16.2375
	8.287499999999998			15.231250000000001
	8.412500000000001			16.6875
	8.831249999999999			16.91875
	10			16.23125
	9.062499999999998			16.16875
	7.6000000000000005			15.056250000000002
	4.949999999999999			13.0375
	4.5562499999999995			13.812499999999996
	5.75			13.656250000000002
	6.15625			14.30625
	6.6875			14.762500000000001
	6.768750000000002			14.83125
	5.2250000000000005			12.462499999999999
	4.2562500000000005			12.081250000000002
	3.7875000000000005			12.287500000000001
	4.325			12.41875
	4.16875			12.275
	4.481249999999999			12.893749999999999
	3.9624999999999995			12.662500000000001
	3.30625			12.05
	4.137499999999999			12.781249999999998
	4.15			12.537500000000001
	4.63125			11.962499999999999
	3.7375			10.1
	2.7124999999999995			10.112499999999999
	2.1999999999999997			10.731250000000001
	2.5812499999999994			9.974999999999998
Dez.	2.7312499999999997			8.925
	1.3874999999999997			7.637499999999999
	0.20625000000000002			8.762500000000001
	0.6562500000000001			9.46875
	1.4437499999999999			9.76875
	1.1562500000000002			9.2375
	1.8624999999999998			9.3625
	1.7249999999999996			9.831249999999999
	1.5875000000000001			9.56875
	1.0687499999999999			8.443750000000001
	0.80625			8.2
	0.8124999999999998			8.900000000000002
	1.16875			8.85
	1.4687499999999998			9.131249999999998
	1.15			9.85
	0.43125			9.4375
	-1.2933333333333334			8.433333333333335

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

35°C

Höchste Temperatur

3 Aug. 26

-7°C

Niedrigste Temperatur

21 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust34.35°C

Kältester MonatJanuar2.44°C

Nassester MonatJuli5.57mm

Windigster MonatJuli20.72km/h

Hefei 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 Hefei?

August ist historisch gesehen der heißeste Monat in Hefei, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 41°C am 2022-08-13 erreicht.

2. Was ist der historisch kälteste Monat in Hefei?

Januar ist der kälteste Monat in Hefei, mit durchschnittlichen Tiefstwerten von etwa 1°C. Der Allzeit-Rekordtiefstwert von -13°C wurde am 2018-01-30 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Hefei beträgt etwa 1167.6mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Hefei verzeichnet historisch gesehen etwa 160.8 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 21.5 Tagen.

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

Die höchste jemals in Hefei gemessene Temperatur beträgt 41°C am 2022-08-13.

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

Die niedrigste jemals in Hefei gemessene Temperatur beträgt -13°C am 2018-01-30.

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

Hefei erlebt seine stärksten Winde während März. Der historische Böenrekord von 45.5 km/h wurde am 2018-08-17 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Hefei im Juli etwa 79.4% und fällt im Dezember auf etwa 56.9%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Hefei 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

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

Hefei 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

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