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

Zhongli Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	13.024999999999999	13.3		17.218750000000004	15.5
	14.075	9.9		18.756249999999998	12.7
	14.0375	9.9		18.14375	15.3
	14.231250000000001	11.5		19.125	19.1
	14.55	12.9		19.187499999999996	18.3
	14.41875	11		18.125000000000004	13.2
	14.04375	10.5		17.89375	14.2
	13.075000000000001	10.8		17.056250000000002	14
	12.562499999999996	9.8		16.025000000000002	16.4
	13.025	10.7		17.400000000000002	17.8
	12.837499999999999	12.1		17.11875	16.8
	12.13125	11.8		16.23125	19.6
	12.237499999999999	13.5		17.381249999999998	19.3
	12.56875	13.7		18.150000000000002	23.1
Jan.	12.39375	14.5		17.818749999999998	21
	12.74375	15.2		16.76875	21.6
	12.712500000000002	15.8		16.26875	23.5
	12.937500000000002	16.3		17.4125	22.8
	13.71875	16.3		18.09375	23.3
	13.63125	12.6		18.69375	17.8
	13.3375	11.2		17.9375	12.6
	12.837500000000002	9.9		17.09375	11.7
	12.675000000000002	11.1		16.83125	17.6
	12.2625	13.6		16.65	19.9
	11.949999999999998	14.6		16.631249999999998	21.6
	12.3375	16		16.925	20.7
	13.00625	14.9		17.150000000000002	18.1
	12.375000000000002	13.7		16.95	16
	12.70625	13.4		16.89375	19.9
	12.19375	16.1		17.49375	21.2
	12.35	14.1		18.4875	17
	12.868750000000002	13.8		18.475	15.2
	13.44375	13.8		17.818749999999998	14.7
	13.6875	13.8		18.068749999999998	17.5
	13.8375	15.1		18	21.1
	13.543750000000001	16.9		17.531250000000004	22.4
	13.218750000000004	16.8		18.381249999999998	19.5
	13.281250000000002	13		18.487499999999997	16
	12.39375	9.5		16.3375	12
	12.225	10.3		16.3875	16.1
	12.624999999999998	14		17.862499999999997	17.6
	12.712499999999999	14.9		18.06875	16.9
	13.38125	15.3		18.799999999999997	19.6
	13.731250000000001	15.9		19.68125	21.8
	13.293750000000001	17		19.05625	22.2
Feb.	13.33125	18.1		19.162499999999998	22.4
	13.6625	15.9		18.349999999999998	19.5
	13.106250000000001	14.7		18.3375	16.4
	13.374999999999998	14.4		18.462500000000002	15.8
	13.274999999999999	14.8		18.75625	20
	13.5875	16.6		18.6375	19.1
	13.806249999999999	16.6		19.25	22
	14.474999999999998	17.7		19.36875	22.9
	13.981249999999998	18.8		18.51875	24.7
	14.318749999999998	18.4		18.84375	21.8
	14.19375	18.1		19.25625	19.7
	14.618750000000002	18.6		18.768750000000004	24.1
	14.924999999999999	17.5		19.287499999999998	19.3
	14.956249999999999	17.5		21.287499999999998	21.6
	14.737499999999999	18.8		21.687500000000004	22.7
	14.493749999999999	18.7		18.99375	24
	14.399999999999999	14.9		20.15625	18.1
	14.968750000000002	15.5		20.8375	18.9
	15.075	17		21.543750000000003	18.3
	14.943749999999998	15.5		20.38125	19
	13.868750000000002	15.3		19.243750000000002	16.5
	13.931249999999999	15.6		19.187499999999996	18.4
	13.856250000000001	14.2		19.73125	17.3
	14.024999999999999	12.9		19.08125	14.2
	13.899999999999997	14.4		20.2375	18.8
	14.79375	13.3		20.993750000000002	17.5
	14.981250000000001	13.7		21.150000000000002	17.2
	15.31875	14.9		20.749999999999996	20.9
Mär.	14.831250000000002	16.3		20.962500000000002	23.4
	15.062499999999998	18.3		20.61875	24.5
	15.768749999999997	18.8		21.531249999999996	23.3
	16.806250000000002	18.7		22.6625	24.1
	17.525	18.8		23.1	21.3
	16.78125	18.2		23.1625	22.9
	15.818749999999998	18.4		21.943749999999998	21.6
	15.256249999999998	18.2		21.3	23.1
	15.887500000000001	20		22.312499999999996	23.2
	15.687499999999996	20		22.231250000000003	22.8
	15.281250000000002	19		20.46875	22.5
	15.606250000000001	18.6		21.43125	24.5
	15.812499999999998	20.9		21.506249999999998	23.6
	16.075	19.9		22.325	22.3
	16.61875	19.8		23.0875	23.8
	17.26875	20.3		22.693749999999998	25.5
	16.981250000000003	21.6		22.962500000000002	25
	16.793750000000003	18.3		21.975	19.4
	16.8	18.7		22.381249999999998	26
	16.943749999999998	20.6		23.3	25.7
	17.4625	18.9		23.80625	25.7
	17.856250000000003	19.5		23.53125	24.2
	17.093749999999996	22.2		23.412499999999998	27.8
	16.96875	19.8		22.01875	23.2
	17.425	19.7		23.200000000000003	25.9
	17.799999999999997	21.5		23.362499999999997	28.3
	18.49375	23.6		23.325	29.1
	18	23.5		24.956249999999997	27.2
	18.475	23.7		24.2625	27.7
	18.150000000000002	24		24.418750000000003	28.4
	18.168750000000003	24.1		24.100000000000005	29.2
Apr.	17.7625	24.6		23.087500000000002	27.6
	18.418750000000003	23.3		24.562500000000004	28.2
	18.575000000000003	23.2		25.00625	26.3
	19.893749999999997	21.6		25.493750000000002	24.6
	20.11875	21.8		25.275000000000002	25
	19.675	22.8		26.075000000000003	28
	19.799999999999997	23.7		25.724999999999998	29
	19.81875	23.5		26.593750000000004	27.9
	20.025	21.3		25.06875	27.6
	19.8125	18.8		25.881249999999998	20.2
	19.83125	18		24.775000000000002	21.1
	20.212500000000002	19.8		25.743750000000002	25
	19.843750000000004	20.9		25.29375	27.7
	20.3375	22.7		25.243750000000002	28
	19.81875	19.9		26.15	27
	20.20625	18.4		26.968750000000004	19.2
	20.25	18.9		26.218750000000004	23.3
	20.343749999999996	21.1		26.1875	27.5
	20.681250000000002	23.6		26.48125	29.9
	21.275	17.2		26.956249999999997	21.1
	21.331249999999997	18		26.94375	21.1
	21.837500000000002	20.5		26.79375	25.6
	21.743750000000006	22.5		26.681250000000002	27.5
	21.64375	21.1		27.031249999999996	23.9
	22.0875	19.2		27.25625	21.2
	21.668749999999996	21.2		27.562499999999996	26.7
	21.8125	23.3		27.4	25.4
	21.775	22.6		27.187500000000004	25.3
	21.856250000000003	19.5		27.43125	25
	22.10625	19.7		27.39375	23.9
Mai	22.3625	22.8		28.093750000000004	26.2
	22.412499999999994	23.3		27.85	26.8
	22.475000000000005	22.9		28.025	28.9
	22.89375	22.9		28.925	28.6
	23.2625	24.5		28.65625	28
	23.05	24.4		28.156250000000004	29.7
	22.78125	25.6		27.49375	30.3
	22.88125	25.1		28.062499999999996	26.9
	22.449999999999996	25.9		26.943750000000005	31.1
	22.281249999999996	25.9		27.125000000000004	31.1
	22.362499999999997	26.1		26.825000000000003	31.2
	22.95625	26.8		27.662499999999998	32.4
	23.3125	27.5		28.8125	32.7
	23.293749999999992	26.8		28.674999999999997	31.4
	23.20625	24.8		27.631249999999998	27.3
	23.350000000000005	24.2		28.737499999999997	29.3
	23.6	23.9		28.506249999999998	28.2
	23.937499999999996	24.1		28.46875	26.8
	23.968749999999996	24.7		29.10625	30.2
	23.837500000000002	26.3		28.300000000000004	32.2
	23.724999999999998	27.2		28.1375	31.7
	24.106249999999996	26		28.912499999999994	28.5
	23.912499999999998	25		28.5	26.5
	23.95	25.2		28.831250000000004	31.1
	24.400000000000002	25.4		29.375000000000004	29.8
	24.524999999999995	22.9		29.36875	24.6
	24.831250000000004	22		29.0125	23.3
	24.568749999999998	21.8		28.76875	22.8
	24.475	21.9		28.668749999999996	24.3
	24.681249999999995	23.5		29.393750000000004	27
	24.5625	24.1		29.068749999999998	25.7
Jun.	24.818749999999998	24.1		28.825000000000003	24.8
	24.900000000000002	24.4		29.837500000000002	27.6
	25.175	25.1		29.7625	29.6
	25.506249999999998	25.2		30.5625	30.5
	25.325	25.6		30.537499999999998	31.1
	25.506249999999998	25.8		31.124999999999996	31.3
	25.593749999999996	25.7		30.687500000000004	31.8
	25.406249999999996	26.2		30.868750000000006	32.2
	25.3	26.5		30.75625	32.4
	25.475	27		30.856250000000003	32.5
	25.743749999999995	26		30.8625	31.5
	25.993750000000002	24.3		31.48125	26.1
	25.95625	25		31.33749999999999	27.6
	25.8625	25.3		31.31875	28.1
	25.937499999999996	26.3		31.0625	30.6
	25.981250000000003	25.9		31.5	30.5
	26.243750000000002	26.6		31.68125	30.7
	26.33125	27		31.756249999999994	30
	26.231250000000003	27.3		31.743750000000002	31
	26.34375	26.8		31.8	31.1
	26.48125	26.9		32.212500000000006	31.8
	26.45	26.8		32.26875	31.2
	26.21875	27		31.787500000000005	31.4
	26.337500000000002	27.2		32.09375	32.1
	26.143749999999997	27.6		31.762500000000003	31.4
	25.95	26.9		30.856249999999996	30.9
	26.175	25.1		31.05625	27.2
	26.074999999999996	27.7		31.362499999999997	33.2
	26.093750000000004	27.6		31.775	29.5
	26.181250000000002	26.9		31.850000000000005	31
Jul.	26.212499999999995	27.3		31.8	32.5
	26.381250000000005	27.5		32.3625	32.2
	26.25	27.4		32.393750000000004	32
	26.30625	27.8		31.924999999999997	32.5
	26.06875	27.8		31.7125	33
	26.4	27.3		31.6625	32.8
	26.16875	27		31.60625	32.2
	26.093749999999996	27.3		31.45	32.2
	26.20625	27.4		31.50625	32.2
	25.868750000000002	27.3		31.69375	32.8
	26.093750000000004	27.7		31.20625	33.3
	26.1125	27.9		30.83125	31.3
	26.162499999999998	26.1		30.95	31.7
	25.9125	26.5		31.012500000000006	30.4
	26.025000000000002	27.1		31.562500000000007	31.4
	25.956250000000004	27.8		31.800000000000008	31.9
	26.093749999999996	27.6		31.743750000000002	31.2
	26.131250000000005	27.2		31.718749999999996	32
	26.149999999999995	27.1		31.48125	31.6
	25.95	27.6		31.26875	31.9
	26.0375	27.4		31.124999999999996	33.5
	25.9875	27.4		30.99375	31.4
	26.0125	28		31.21875	31.9
	26.28125	27.7		31.512500000000003	31.6
	26.243750000000002	25.4		31.325000000000003	30.6
	26.543750000000003	24.4		31.562499999999996	27.4
	26.587500000000002	26.4		31.843750000000004	31.3
	26.34375	27.6		31.724999999999994	32.7
	26.15625	27.7		31.099999999999998	32.7
	26.181250000000002	28.1		31.60625	33.4
	26.206249999999997	27.8		31.28125	32.7
Aug.	26.137499999999996	28.1		31.237500000000004	33
	26.312499999999996		27.5	31.025		32.1
	26.200000000000006		27.5	31.19375000000001		32.5
	25.775		27.6	30.556250000000002		32.2
	25.474999999999994		26.7	30.9875		32.8
	25.862499999999997		26.9	31.318749999999998		30.8
	25.706250000000004		26.8	31.400000000000006		29
	25.924999999999997		27.3	31.94375000000001		31
	25.893749999999997		27.5	31.35		30.7
	25.731249999999996		27.2	30.981249999999996		31.6
	25.968749999999996		26.8	31.462499999999995		31.7
	26.049999999999997		27.2	31.618749999999995		31.8
	25.675		26.8	31.049999999999997		31.4
	25.631250000000005		26.8	31.575		31.6
	25.631249999999998		27	31.15625		31.2
	25.718749999999996		26.8	30.275000000000002		30.6
	25.537500000000005		26.7	30.331249999999997		30.6
	25.16875		26.3	30.19375		31
	25.225		26.4	30.09375		30.7
	25.0875		26.3	30.4875		30.7
	25.14375		26.5	29.80625		30.4
	25.412499999999994		26.6	30.837500000000002		30.9
	25.606250000000003		26.5	30.59375		30.9
	25.1875		26.3	29.937499999999996		30.4
	24.91875		26.3	30.10625		30.4
	24.887500000000003		26	30.125		30.4
	24.643749999999997		25.9	30.431250000000002		30.5
	25.00625		26.1	30.506249999999998		31
	25.025		26.3	30.337500000000002		30.6
	24.893750000000008		26.2	30.056250000000002		30.4
	25.075		26.2	30.525000000000006		30.4
Sep.	25.493750000000002		26.2	30.268749999999997		30.3
	24.968750000000004			30.168749999999996
	24.912499999999998			29.9625
	24.462500000000002			30.118750000000006
	24.625			30.018749999999997
	24.58125			29.35625
	24.40625			28.95
	24.356250000000003			29.099999999999994
	24.312500000000004			29.206249999999997
	24.306250000000002			28.81875
	24.1625			28.868750000000006
	24.1875			28.975
	24.231250000000003			29.05625
	24.3125			29.20625
	24.3125			29.33125
	23.862500000000004			29.068749999999998
	23.881249999999998			28.806250000000006
	23.8			28.9875
	23.087499999999995			28.5875
	22.856250000000003			27.425
	23.2625			27.93125
	23.474999999999998			28.068749999999998
	23.5125			28.412499999999998
	23.575			27.48125
	23.04375			26.975
	22.756249999999994			26.406250000000004
	22.231249999999996			25.862499999999997
	22.275			25.912499999999998
	22.312499999999996			26.468750000000007
	22.406249999999996			26.6375
Okt.	22.131249999999998			26.193749999999998
	21.993749999999995			26.687500000000004
	21.806250000000006			25.818749999999994
	21.425000000000008			25.625
	21.687499999999996			25.8375
	21.356250000000003			25.500000000000004
	20.94375			24.656250000000004
	20.962499999999995			25.1875
	21.037499999999994			24.83125
	20.73125			23.9125
	20.6375			24.206249999999994
	20.24375			25.2375
	20.71875			24.974999999999998
	20.868750000000002			24.825
	20.550000000000004			24.456249999999997
	20.55625			24.299999999999997
	20.1625			23.58125
	20.21875			23.79375
	20.231250000000003			24.2875
	20.387500000000003			23.799999999999997
	20.200000000000003			23.50625
	20.16875			24.206249999999997
	20.60625			25.518749999999997
	20.8125			25.249999999999996
	20.168750000000003			24.94375
	19.59375			23.624999999999996
	19.49375			23.775
	19.2625			23.75
	19.3625			23.081250000000004
	19.5625			22.85
	19.7625			22.849999999999998
Nov.	19.762500000000003			24.218750000000004
	19.8375			24.75
	19.224999999999998			23.9875
	18.631249999999998			22.89375
	18.118750000000002			22.23125
	18.75			22.625
	19.275000000000006			24.243749999999995
	18.9375			23.48125
	18.325			22.425
	17.881249999999998			21.64375
	17.43125			21.6
	17.95625			21.725
	17.412499999999998			22.46875
	17.256249999999998			21.881249999999998
	17.7375			22.718750000000004
	17.306250000000002			21.799999999999997
	16.68125			20.831249999999997
	16.206250000000004			19.86875
	16.1375			20.150000000000002
	15.825000000000003			20
	16.387499999999996			19.993749999999995
	16.156249999999996			19.949999999999996
	15.975000000000003			19.700000000000003
	15.65625			19.6375
	15.75			19.8
	15.950000000000001			19.84375
	16.175000000000004			19.95
	16.125			19.125
	16.0875			19.33125
	16.15			20.7
Dez.	15.568750000000001			20.631249999999998
	13.76875			18.83125
	13.049999999999999			16.268749999999997
	13.424999999999997			17.537499999999998
	13.956250000000002			18.474999999999998
	13.950000000000001			18.4625
	14.399999999999999			18.537499999999998
	14.393750000000002			19.11875
	14.350000000000001			19.0125
	13.850000000000001			17.31875
	13.48125			16.981249999999996
	13.887500000000001			18.125000000000004
	14.099999999999998			17.85625
	13.918750000000001			18.46875
	14.337500000000002			17.093749999999996
	14.250000000000002			17.58125
	12.54666666666667			16.806666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

34°C

Höchste Temperatur

4 Aug. 26

10°C

Niedrigste Temperatur

8 Feb. 26

Saisonale Aufschlüsselung

Heißester MonatAugust31.85°C

Kältester MonatJanuar12.93°C

Nassester MonatJuni13.03mm

Windigster MonatMärz28.7km/h

Zhongli 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 Zhongli?

Juli ist historisch gesehen der heißeste Monat in Zhongli, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2016-08-01 erreicht.

2. Was ist der historisch kälteste Monat in Zhongli?

Januar ist der kälteste Monat in Zhongli, mit durchschnittlichen Tiefstwerten von etwa 13°C. Der Allzeit-Rekordtiefstwert von 3°C wurde am 2016-01-25 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Zhongli beträgt etwa 1864.1mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Zhongli verzeichnet historisch gesehen etwa 235.9 Regentage pro Jahr. Juni hat die meisten Regentage mit durchschnittlich 22.5 Tagen.

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

Die höchste jemals in Zhongli gemessene Temperatur beträgt 36°C am 2016-08-01.

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

Die niedrigste jemals in Zhongli gemessene Temperatur beträgt 3°C am 2016-01-25.

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

Zhongli erlebt seine stärksten Winde während Oktober. Der historische Böenrekord von 87.1 km/h wurde am 2026-07-11 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Zhongli im Dezember etwa 78.01% und fällt im Juli auf etwa 69.2%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Zhongli 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

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

Zhongli 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

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