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

Meishan Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.3750000000000004	-8.1		8.03125	1
	-1.3875	-6.5		7.0687500000000005	0.8
	-2.3062499999999995	-1.9		6.96875	6.8
	-2.2937500000000006	0.6		6.175	7.3
	-2.625	-1		4.9125000000000005	5.4
	-2.4375	-1.5		4.34375	6.3
	-3.13125	0.2		4.875	7.3
	-2.6874999999999996	-1.2		5.987499999999999	7.8
	-2.80625	1.7		5.293749999999999	12.6
	-2.9187499999999997	1.2		5.6875	6.4
	-2.35625	-1.6		6.2875000000000005	5.6
	-2.1312499999999996	0.4		7.0125	12.9
	-2.0187500000000007	2.9		7.4625	12.2
	-1.76875	5.2		6.999999999999999	13.1
Jan.	-2.8687500000000004	4.4		5.61875	15.4
	-3.0437499999999997	4		5.8687499999999995	12.4
	-2.69375	-1.8		7.1625000000000005	4.4
	-2.1999999999999997	-1		7.1375	3.8
	-1.10625	-4		7.3374999999999995	-1
	-1.5062499999999996	-10.3		6.043749999999999	-2.8
	-1.9687500000000002	-13.1		5.625000000000001	-2.2
	-2.5750000000000006	-7.2		5.675	4.4
	-2.8625000000000003	-4		5.71875	8.9
	-3.0875000000000004	-2.8		4.074999999999999	8.5
	-3.1875	1		5.45625	3.4
	-2.9562500000000003	-1.9		5.575	7.3
	-2.7625	-2		5.66875	4.9
	-2.8375	-1.4		5.99375	8.1
	-2.1625	-0.4		7.64375	3.5
	-2.2187499999999996	-1		7.075	1.6
	-1.8187499999999999	-1.3		6.85	7.4
	-1.7499999999999998	-0.1		6.7	10.1
	-2.60625	0.1		6.83125	9.9
	-1.9625000000000001	1.8		7.09375	9.8
	-1.6249999999999998	3.1		8.006250000000001	13.6
	-2.1	4.5		7.468749999999999	12.1
	-1.4499999999999997	-1.3		6.94375	6.3
	-2.08125	-1.2		5.8187500000000005	6.2
	-2.63125	-2.2		5.918749999999998	8.6
	-2.1625	-0.7		6.90625	6.4
	-1.8812500000000003	0.6		7.643750000000001	10.6
	-1.4062499999999998	0.2		8.125	13.1
	-0.48750000000000004	3.3		8.56875	16.2
	-0.3749999999999999	6		9.0125	17.7
	-0.4000000000000004	6.7		8.85625	20.6
Feb.	-0.23749999999999996	2.2		7.743749999999999	10.6
	-0.40000000000000013	0.8		9.400000000000002	5.9
	-0.2312499999999998	0.2		8.79375	11.9
	-0.0187500000000001	3		9.4125	13.9
	0.59375	4.8		10.63125	17.1
	0.08750000000000009	6.2		9.649999999999999	23.6
	0.45	9.2		10.0625	23.6
	0.6625	8.5		10.762500000000001	16.9
	1.1374999999999997	1.4		11.175	11.2
	1.0437500000000002	2.2		11.524999999999999	12.9
	1.9374999999999998	4.1		11.468749999999998	13.9
	2.0375000000000005	6.9		11.7375	8.7
	1.75625	5.5		11.625000000000002	9.1
	2.44375	5.2		11.424999999999999	7.5
	2.53125	2		10.475	3.9
	1.6187500000000001	1.4		11.837499999999997	7.3
	2.33125	3.8		13.337499999999999	12.6
	2.9875	3.6		13.912500000000003	14.1
	3.5562500000000004	6.3		12.943749999999998	15.7
	3.1	3.5		11.949999999999998	7.1
	2.8625000000000003	2.3		13.887500000000001	6.6
	4.09375	1.6		14.76875	12.6
	3.90625	6.3		15.19375	12.6
	3.8625	3.2		14.99375	17.6
	5.13125	8.3		16.49375	18.1
	5.25	4.5		17.068749999999998	13.8
	4.8500000000000005	5.2		16.29375	16.6
	5.7250000000000005	5.9		16.3875	10.6
Mär.	5.275	5.6		16.712500000000002	7.1
	5	5.8		15.143749999999999	12.2
	5.700000000000001	5.6		16.212500000000002	7.7
	6.006249999999999	4.6		16.53125	10.3
	6.112500000000001	2.8		16.275	14.1
	5.868750000000001	5.8		15.400000000000004	17.4
	5.45625	6.5		16.175	18.6
	6.499999999999998	9.7		16.6375	19.4
	6.325	10		17.150000000000002	18.1
	7.18125	10.3		16.96875	17
	6.925	8.9		17.01875	21.9
	6.512499999999999	10.3		18.787499999999998	22.1
	7.031249999999999	10.6		20.887500000000003	22.5
	7.956250000000001	11.9		19.85	22.1
	8.256250000000001	11.9		19.425	23.8
	9.0625	13.5		18.5	19.6
	8.525	9.2		19.175	20.8
	8.362499999999999	9.8		20.78125	24.3
	8.362499999999999	11.8		19.925000000000004	22.4
	8.3875	10.7		18.349999999999998	26.3
	7.487500000000002	9.3		17.875	22.3
	8.524999999999999	11.3		19.406249999999996	27.4
	8.518749999999999	10.9		19.3125	22.4
	8.737499999999999	11.5		20.299999999999997	18.8
	9.28125	9.8		22.025000000000002	12.6
	9.78125	8.6		22.775	25
	10.0375	13.7		21.49375	25.5
	10.19375	12.8		20.506249999999998	21.8
	9.025	15		20.1	19.3
	9.65	13.5		20.99375	20.6
	10.275	10.9		22.018749999999997	23.6
Apr.	11.0125	12		24.1625	23.5
	11.575000000000001	14.2		24.006249999999998	22
	12.018749999999999	12.2		24.51875	27.2
	12.63125	12.1		23.181250000000006	27.2
	10.4125	12.9		21.743749999999995	27.8
	10.49375	8.5		22.106249999999996	16.9
	11.387500000000003	8		19.6	12.2
	10.80625	7.1		21.11875	20.2
	10.637500000000001	8.4		23.00625	22.2
	12.13125	9.3		22.449999999999996	24.1
	10.91875	12.1		22.256249999999998	25.4
	11.85625	13.2		24.306250000000002	29.2
	12.14375	16		24.5375	27.1
	12.643749999999999	14.1		24.23125	21.2
	12.887500000000001	10.9		26	21.2
	13.412499999999998	10		27.41875	25.7
	14.006249999999998	11.2		26.15	24.9
	14.318749999999998	13.6		26.0625	20.5
	13.3125	11.4		25.168750000000003	24.2
	14.5375	11.5		25.287499999999998	26.7
	13.531249999999998	13.2		26.287499999999994	29.6
	14.212500000000002	15.1		25.718749999999996	30.3
	14.368749999999999	16.1		25.9875	23.6
	14.706249999999999	11.6		24.587500000000002	23.4
	14.175000000000002	11.3		24.118750000000002	28.3
	13.8375	14.7		23.84375	32.2
	14.175000000000002	16.9		26.3	33.2
	15.0875	17.4		27.60625	32
	15.493749999999999	16.8		27.85	28.1
	15.343750000000002	17.3		26.893749999999997	24.5
Mai	15.381250000000001	16.1		26.862499999999997	27.9
	15.418750000000001	18.5		26.937499999999996	20.4
	15.881249999999998	18.7		29.54375	20.3
	16.84375	17.1		29.862499999999997	24.2
	17.374999999999996	14.7		29.049999999999997	25.9
	16.40625	17.7		28.806250000000002	24.2
	16.425	15		26.925	22.8
	16.0875	16.3		27.8875	27.1
	15.7875	17.4		28.187499999999996	29.4
	16.61875	19.8		28.50625	22.4
	17.54375	20.1		27.731250000000003	21.3
	17.33125	18.6		28.356250000000006	24.3
	17.91875	17.7		28.54375	28.4
	17.387500000000003	17.2		28.40625	21
	17.099999999999998	17.1		28.993750000000002	28.1
	18.2375	16.4		28.956249999999997	31.9
	17.81875	17.2		29.3625	31.8
	18.6875	18.8		29.45625	33.4
	18.975	20.2		30.6	34
	18.500000000000004	21.8		28.887500000000006	36.7
	18.1625	20.2		29.368750000000002	32.9
	18.16875	21.1		30.900000000000002	32.2
	19.2	18.6		32.112500000000004	30.2
	19.912499999999998	17.2		31.525	23.2
	20.474999999999998	17.6		31.618749999999995	29.1
	20.462500000000002	16.3		31.006249999999998	31.5
	19.6375	17.8		30.856250000000003	32.4
	20.15625	19		32.675000000000004	32.9
	20.61875	19.2		31.556249999999995	31.6
	20.43125	16		32.14375000000001	32.2
	20.6125	19.8		32.54375	34.6
Jun.	21.19375	22.3		32.25	35.6
	20.531250000000004	21		31.38125	33.2
	20.41875	20		31.037499999999998	33
	20.20625	19.3		30.818749999999998	25.7
	20.81875	18.5		31.700000000000003	25.5
	21.175000000000004	17.2		31.243750000000006	30.9
	21.506249999999998	17.9		31.237500000000004	23.7
	21.474999999999998	17.6		31.856249999999996	23.1
	21.862499999999997	16.8		31.6375	27.8
	20.925	18.4		31.54375	29.2
	20.793750000000003	17.3		30.156249999999996	30.3
	20.59375	21.2		31.431249999999995	29.2
	21.525	20.5		31.681250000000002	34.9
	21.631249999999998	21.5		31.506249999999998	34.9
	21.6125	22.8		31.05625	34.4
	21.962500000000006	21.7		32.6125	33
	22.687500000000007	21.3		32.70625	34.2
	22.599999999999998	23.3		31.9875	35.1
	22.450000000000003	22.5		31.03125	34
	22.28125	21		30.887500000000003	36.1
	21.86875	21.8		31.49375	37.7
	21.912500000000005	24.1		31.3375	34.2
	21.775	22.3		33.30625	35.3
	22.631249999999998	22.3		32.46874999999999	39
	23	23.7		31.843750000000004	37
	22.693750000000005	24.5		31.081249999999997	35.9
	22.900000000000002	25.2		31.424999999999997	37.1
	22.675	25.6		32.337500000000006	34.7
	22.931250000000002	24.5		32.668749999999996	37.5
	22.868750000000002	25.7		32.99375	36.2
Jul.	22.512500000000003	25.4		30.993750000000002	34.8
	22.48125	25.9		31.043749999999996	36.4
	22.025000000000002		23.5	31.35		31.6
	22.51875		22.2	30.325		35.9
	22.15		22	30.693749999999998		36.5
	22.21875		21.9	30.924999999999997		37.2
	22.543750000000003		22	32.375		36.1
	23.200000000000006		22.7	31.41875		35.9
	22.8125		22.2	31.475		37.6
	23.325		23.4	32.93125		37.3
	23.587500000000002		23.5	32.78125		32.4
	23.287499999999994		23.1	32.931250000000006		32.7
	23.274999999999995		23	32.15625		31.9
	23.456249999999994		23.3	31.687500000000004		32.2
	23.7125		23.6	32.1125		32.1
	23.231250000000003		23.2	33.018750000000004		32.5
	23.731250000000003		23.5	32.55625		32.1
	23.41875		23.2	31.0375		31.1
	23.175		23	31.08125		31.1
	23.387499999999996		23.2	33.11875		32.7
	23.88125		23.7	33.393750000000004		32.5
	24.112500000000004		23.8	31.631250000000005		31.1
	23.287499999999998		23	31.456249999999997		31.3
	22.618750000000002		22.4	30.675000000000004		30.6
	22.50625		22.4	31.306249999999995		31.1
	22.36875		22.4	30.575000000000003		30.9
	22.50625		22.7	31.656250000000004		31.8
	22.724999999999998		22.6	32.375		32.2
	22.925		23	31.612499999999997		32.1
	22.712500000000002		22.2	32.2		31.6
	22.25		22.3	31.168750000000006		31.4
Aug.	22.831249999999997		22.6	32.05		32.3
	22.425000000000004		22.2	31.66875		31.4
	21.76875			30.893750000000008
	22.162499999999998			30.312499999999996
	21.95625			30.26875
	21.84375			30.175000000000004
	21.31875			29.4625
	21.037499999999998			29.349999999999998
	20.75			28.29375
	20.275			28.243750000000006
	19.824999999999996			28.525000000000006
	19.69375			28.287499999999998
	18.88125			27.09375
	18.975			27.35625
	18.712500000000002			27.825000000000003
	19.143749999999997			27.39375
	18.943749999999998			28.30625
	19.275			27.199999999999996
	19.40625			27.818750000000005
	18.7875			27.5375
	18.562500000000004			26.743750000000002
	18.4125			26.95625
	18.575			27.325
	18.3625			27.474999999999998
	18.50625			27.675
	18			26.862500000000004
	18.48125			27.362499999999994
	18.1			26.381249999999998
	17.562500000000004			25.456250000000004
	17.34375			25.43125
	17.45625			25.337500000000006
Sep.	17.287499999999998			25.4875
	17.625			25.343750000000004
	17.237499999999997			24.912499999999998
	17.1625			25.24375
	16.65625			23.80625
	16.45625			25.243750000000006
	16.04375			25.806249999999995
	15.718749999999998			24.300000000000004
	15.36875			24.150000000000002
	15.137500000000003			22.968749999999996
	15.175			23.406250000000004
	15.293749999999998			23.70625
	16.462500000000002			22.618750000000002
	15.906249999999998			23.599999999999998
	15.05625			24.543750000000003
	15.40625			23.95
	14.85			22.774999999999995
	14.96875			23.825
	13.49375			23.3
	13.293750000000001			21.68125
	12.275000000000002			20.525
	12.531250000000002			19.53125
	12.95			20.974999999999994
	13.593749999999998			21.131249999999998
	13.09375			21.118750000000002
	13.1625			20.287499999999998
	12.4875			20.16875
	12.200000000000001			20.231249999999996
	12.437499999999996			20.70625
	12.49375			20.825
Okt.	11.83125			19.756249999999998
	11.931249999999999			19.88125
	11.225			20.18125
	10.975000000000001			19.881249999999998
	11.41875			19.84375
	10.631250000000003			18.806250000000002
	10.337500000000002			19.08125
	10.575			19.11875
	10.85			19.2125
	9.79375			18.68125
	9.94375			17.493750000000002
	9.499999999999998			18.10625
	9.59375			18.8125
	10.18125			18.656250000000004
	10.1625			18.1125
	9.56875			18.6125
	9.99375			18.281249999999996
	10.612500000000002			17.625
	9.012500000000001			17.762500000000003
	8.587499999999999			18.15
	8.25625			17.29375
	8.4375			16.056250000000002
	7.2125			15.98125
	7.6625			14.60625
	7.462500000000001			15.825
	7.41875			15.918750000000001
	7.531250000000001			14.337499999999999
	6.70625			14.7125
	6.8374999999999995			14.918750000000001
	6.225			15.475000000000003
	6.475			15.637500000000001
Nov.	7.125			15.025000000000002
	6.162499999999999			12.9625
	5.3812500000000005			13.350000000000001
	5.199999999999999			13.05625
	5.5375			14.325000000000001
	5.1812499999999995			13.9625
	5.40625			12.312499999999998
	4.7625			12.03125
	3.1437500000000003			10.93125
	1.8312499999999998			9.48125
	1.325			10.24375
	1.41875			10.850000000000001
	3.0625			10.450000000000001
	2.9624999999999995			11.231250000000001
	2.8000000000000003			9.787499999999998
	1.2625			8.6375
	0.71875			9.975
	1.125			9.925
	1.38125			9.84375
	1.4375			10.39375
	1.3937500000000003			10.88125
	1.40625			9.543750000000001
	0.48750000000000004			10.30625
	1.1375			9.725000000000001
	0.6125			10.15625
	0.64375			8.287499999999998
	-0.26874999999999993			7.087500000000001
	-0.59375			6.3500000000000005
	-1.4000000000000001			7.281250000000001
	-0.99375			5.987500000000001
Dez.	-1.1749999999999998			5.593750000000001
	-1.575			5.7625
	-2.0625			6.78125
	-1.2874999999999999			7.96875
	-0.25			8
	-1.2125000000000001			6.950000000000001
	-1.14375			7.281250000000001
	-1.325			8.01875
	-1.4562499999999994			7.012499999999999
	-1.9250000000000003			5.449999999999999
	-1.7249999999999999			6.3374999999999995
	-1.86875			6.381250000000001
	-2.1125000000000003			6.3
	-1.78125			6.96875
	-1.775			7.531250000000001
	-2.1874999999999996			6.2749999999999995
	-2.7933333333333334			5.7333333333333325

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

39°C

Höchste Temperatur

8 Jul. 26

-13°C

Niedrigste Temperatur

21 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuli35.95°C

Kältester MonatJanuar-1.69°C

Nassester MonatMai3.78mm

Windigster MonatApril20.43km/h

Meishan 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 Meishan?

Juli ist historisch gesehen der heißeste Monat in Meishan, mit durchschnittlichen Höchsttemperaturen von etwa 32°C. Während der stärksten Hitzewellen wurden Temperaturen von 41°C am 2022-06-24 erreicht.

2. Was ist der historisch kälteste Monat in Meishan?

Januar ist der kälteste Monat in Meishan, mit durchschnittlichen Tiefstwerten von etwa -2°C. Der Allzeit-Rekordtiefstwert von -14°C wurde am 2014-02-11 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Meishan beträgt etwa 678.4mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Meishan verzeichnet historisch gesehen etwa 123.8 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 18.4 Tagen.

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

Die höchste jemals in Meishan gemessene Temperatur beträgt 41°C am 2022-06-24.

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

Die niedrigste jemals in Meishan gemessene Temperatur beträgt -14°C am 2014-02-11.

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

Meishan erlebt seine stärksten Winde während April. Der historische Böenrekord von 54.7 km/h wurde am 2025-04-12 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Meishan im August etwa 72.1% und fällt im Dezember auf etwa 41.8%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Meishan 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

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

Meishan 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

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