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

Jiangyin Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.33125	1.6		9.068750000000001	5.8
	1.7125	-1.8		9.793750000000001	5
	2.0625	-1.7		9.34375	7.8
	2.125	2.3		8.937499999999998	9.6
	2.69375	2.4		8.443750000000001	9.7
	2.4875	2.4		8.868749999999999	9.6
	1.2999999999999996	1.2		7.599999999999999	10.1
	0.41250000000000003	1		7.418750000000001	8.8
	0.6187500000000001	2.4		7.51875	11
	0.675	2.5		7.2125	9.2
	0.7500000000000001	-0.9		7.4375	5.3
	0.6375	0.3		8.456249999999999	13
	1.1375000000000002	4.9		9.006250000000001	14.3
	1.00625	6.5		9.4125	18
Jan.	0.48750000000000004	9.3		8.006250000000001	18.9
	0.70625	8.5		7.2250000000000005	20
	0.83125	6.9		8.78125	13.4
	1.31875	5.5		8.793750000000001	14.8
	1.68125	1.8		9.43125	8.3
	1.85625	-1.6		8.91875	2
	1.2	-3.9		8.125	4.5
	1.3125000000000002	-4		7.76875	4.8
	0.5625000000000002	-1.4		7.543749999999999	9.2
	0.4624999999999999	1		7.274999999999999	9.8
	0.8312500000000002	3.3		7.550000000000001	13
	0.6000000000000001	3.9		7.350000000000001	7.4
	0.7687499999999998	2.9		7.4437500000000005	9.1
	1.24375	1.2		7.8374999999999995	8.9
	1.125	2.8		8.40625	11
	1.3125	2.3		9.443750000000001	6.2
	2.15625	2.1		9.85625	5.7
	2.1812499999999995	1.8		9.15	7.9
	1.44375	3.2		8.049999999999999	11.5
	1.4562500000000003	2.4		8.5625	11.5
	0.78125	4.6		8.637500000000001	15.6
	1.5125	8.3		8.59375	12.2
	1.5625000000000002	0.8		8.799999999999999	8.3
	0.73125	-1.5		8.025	3.2
	0.3125000000000001	-2		7.193749999999999	4.8
	0.38124999999999987	-1.1		7.70625	7.5
	1.0374999999999999	2.8		8.41875	10.4
	1.74375	3.4		8.781249999999998	13.5
	2.7875	4.8		9.91875	15
	2.425	6.4		10.60625	17.6
	3.1125	10.6		10.806249999999999	20.3
Feb.	2.3000000000000003	5.3		9.406249999999998	20
	1.9812499999999997	3.3		9.38125	8.1
	1.8812499999999999	1.1		9.21875	9.6
	2.00625	3.2		10.075000000000001	12.5
	1.80625	5		10.525000000000002	13.7
	2.13125	6.7		10.8	18.8
	3.1125	8.9		10.8125	21
	3.5062500000000005	7.4		11.05	20
	2.93125	5.5		10.881250000000001	14.6
	3.8125	6.4		12.6125	10.7
	3.85625	6.3		11.874999999999998	14
	3.8875000000000006	7.6		12.25625	12.2
	4.38125	7		12.36875	9.3
	5.56875	5		12.80625	15.2
	4.1499999999999995	9.2		12.15	13.4
	3.325	6.7		11.38125	9.9
	3.7437499999999995	4.5		12.3	11.3
	5.237500000000001	4.1		14.100000000000003	13.1
	5.300000000000001	6.2		12.350000000000003	11.9
	4.7437499999999995	4.1		12.412500000000001	11.8
	4.5	2.1		12.925	10.8
	5.050000000000001	2.8		14.200000000000001	13.3
	5.000000000000001	3		14.512499999999998	12.8
	4.83125	1.3		14.181250000000002	13
	5.49375	3.8		15.30625	15.3
	6.031249999999999	4		16.8875	12.8
	5.58125	3		15.14375	14.8
	6.33125	4.4		15.69375	17.6
Mär.	5.906250000000001	7.3		15.987500000000002	12.5
	6.1625	7.2		15.768749999999999	8.1
	7.04375	7.4		16.2125	9.5
	7.3125	7.8		15.43125	11.8
	7.325	5.8		15.38125	14.3
	7.299999999999999	6.3		13.981249999999998	15.4
	6.106250000000001	5.7		14.218750000000002	17
	6.681249999999999	8.6		16.381249999999998	17.8
	7.293749999999999	9.5		15.831249999999999	17.7
	7.23125	10.1		15.356250000000001	12
	7.674999999999999	8.5		16.6625	19.8
	7.74375	11.4		17.8125	20.4
	8.08125	10.4		17.88125	18.1
	8.012500000000001	8.8		18.9375	20.4
	8.13125	10.8		17.4625	23.5
	8.768749999999999	11		17.60625	16.3
	9.049999999999999	10.4		17.737499999999997	17.8
	9.0125	10.4		18.7125	20
	8.950000000000001	11.6		19.96875	22
	9.387500000000001	13.3		18.412499999999994	14.8
	8.581249999999999	11.3		17.775000000000002	20.4
	8.7	11.5		17.743750000000002	25.5
	8.218749999999998	11.5		17.331249999999997	20.4
	8.6	9.1		18.193749999999998	19.2
	9.36875	9		20.16875	17.8
	9.84375	15		20.743750000000002	26.5
	10.462500000000002	15.3		21.39375	26.5
	10.86875	12.5		20.512499999999996	21.7
	10.881250000000001	12		20.150000000000002	14.3
	10.268750000000002	12		18.75625	16.7
	10.4625	13.5		19.6625	16.4
Apr.	10.475000000000001	13.1		22.162499999999998	21.4
	11.668750000000001	12.7		22.08125	21.8
	11.70625	13.9		23.20625	19.8
	12.543749999999998	12.2		22.36875	22.7
	12.01875	11.4		22.087500000000002	23.2
	12.337500000000002	11.4		20.937499999999996	15
	12.162500000000001	10		21.3	16.7
	12.243749999999999	11		21.2625	13.4
	12.95625	10.6		21.862500000000004	15.3
	12.375	8.6		21.95	21.5
	12.875	11.6		22.55	22.2
	13.231250000000001	11.7		22.01875	25.5
	12.787500000000001	15.5		22.25	26.1
	12.943750000000001	10.3		22.60625	15.5
	13.03125	9.3		23.275	14.5
	14.131250000000003	7.7		25.612499999999997	19.9
	14.600000000000001	11.5		25.718750000000004	24.8
	14.406249999999996	14.9		24.599999999999998	17.9
	14.350000000000001	14.2		25.09375	20.2
	15.19375	13.5		24.4875	24.4
	14.962500000000002	15		24.2	27.1
	15.581249999999999	15.6		24.1375	28.1
	15.412500000000001	16.2		25.25625	28.9
	15.48125	13.8		24.306249999999995	23.4
	15.44375	13.6		23.406250000000004	25.1
	15.631250000000001	13.4		24.431250000000002	27
	15.612499999999999	17.1		25.00625	30.6
	16.20625	19.5		25.55625	32.2
	16.16875	20.4		27.037499999999998	32.7
	17.075	19.7		27.025	29.7
Mai	17.756249999999998	18.3		26.025	28.8
	17.4125	18.6		25.887500000000003	29.5
	17.237499999999997	19.1		26.68125	29.7
	18.08125	19.8		26.868749999999995	30.7
	17.5125	21.1		26.924999999999997	28.2
	17.60625	20.2		26.749999999999996	27.5
	17.04375	18.5		27.237499999999997	28
	17.5125	17		26.268749999999997	30.3
	17.2375	20.8		25.356250000000003	31.1
	17.281249999999996	21.4		26.462499999999995	23
	18.425	21.4		27.887499999999996	31.1
	18.775	22.8		26.237499999999997	29.2
	18.98125	21.4		27.712500000000002	25
	18.7875	22.1		27.11875	32.3
	18.6	21.2		28.2875	29
	19.062500000000004	19.4		27.9125	27.3
	18.756249999999998	17.9		26.2375	31.1
	18.94375	19.3		27.343749999999996	32.2
	19.01875	22.7		27.53125	34
	18.856250000000003	23.2		28	33.9
	19.5	21.8		27.7125	32.6
	19.60625	21.7		28.03125	30.3
	19.843750000000004	20.3		28.424999999999997	29.4
	19.66875	19.2		28.118750000000002	30.2
	19.96875	20.1		28.01875	23.8
	20.781250000000004	18.4		29.20625	29.2
	21.331249999999997	19.4		28.56875	32.1
	21.225	22.2		29.05625	34.2
	21.368750000000002	24.3		29.44375	34.6
	21.718750000000004	21.4		29.193750000000005	26.2
	21.54375	21.4		30.33125	28.4
Jun.	21.749999999999996	21.3		30.275000000000006	27.4
	22.2375	22.3		30.068749999999998	28.1
	21.993750000000002	21.7		29.231249999999996	34.5
	22.012499999999996	24.7		29.749999999999996	30.3
	21.849999999999998	23.6		29.2	25.3
	21.8875	21.6		28.424999999999997	30
	21.831249999999997	23.6		28.775	31.6
	21.69375	20.5		29.18125	21.5
	22.25625	20.8		29.55	23.4
	22.025000000000002	21.1		28.368749999999995	26.2
	21.96875	20.1		29	28
	22.606249999999996	21.7		28.312500000000004	31.3
	22.825000000000003	20.8		29.356249999999996	31.2
	23.39375	22.4		29.131249999999998	31.7
	23.031250000000004	23.1		29.650000000000002	28.7
	23.543749999999996	22.2		29.86875	31.7
	23.98125	22.2		30.36875	29.2
	24.58125	23.5		30.73125	31.1
	24.481250000000006	23.8		30.687499999999996	26.8
	24.125000000000004	23.3		30.36875	25.1
	24.181250000000002	23.1		31.068749999999998	24.6
	24.575	24.7		31.162500000000005	31.8
	25.08125	25.8		31.03125	35.9
	24.58125	25.4		30.812499999999996	33.8
	24.950000000000003	26		30.762499999999996	31
	24.874999999999993	24.8		31.337500000000006	34.3
	24.9	25.1		31.34375	32
	24.831249999999997	25.9		30.70625	29.5
	25.03125	26.2		31.40625	30.6
	24.893750000000004	26.5		31.93125	35.9
Jul.	24.468750000000004	28.1		30.387499999999996	36.4
	24.3375	28.3		30.11875	35.7
	24.55625	28.8		30.987500000000004	35.5
	24.75	26.2		31.212500000000002	31.3
	24.8875	24.4		31.306250000000002	30.4
	25.074999999999996	24.8		32.43125	29.8
	25.268750000000008	23.3		32.70625	26.4
	25.5125	25		32.80625	29.8
	25.968750000000004	24.8		33.63125000000001	33.3
	25.950000000000003	25		32.7875	35.9
	25.825	26.2		32.74375	35.6
	25.843750000000004	26.7		32.9125	33.8
	25.793750000000006	26.8		32.5125	33.6
	25.925	26.4		32.93749999999999	33
	26.093750000000004	26		33.162499999999994	36.4
	26.1375	26.5		33.2375	37.3
	26.212500000000006	26.8		32.95625	36.9
	26.056250000000002	26.9		32.9375	36.9
	26.181250000000002	27.2		33.125	37.2
	26.368750000000006	25.9		33.5	35.4
	26.58125	24.8		33.55	34.1
	26.3125	26.6		33.8125	34.4
	26.275000000000002	25.2		33.51875	34
	26.375	25.2		33.39375	34.3
	25.756249999999994		26.2	32.74375		33.7
	25.575000000000003		23.1	32.1625		26.7
	25.64375		24.5	32.21875		26.6
	25.53125		25.4	31.843749999999996		29.9
	25.724999999999998		23.9	32.574999999999996		30.6
	25.756249999999998		23.3	32.41875		27.1
	25.7625		23.6	32.46875		29
Aug.	25.4375		23.5	32.66875		30.4
	25.33125		25.1	32.09375		31.9
	24.95625		24.9	31.60625000000001		31.6
	24.706250000000004		24.8	31.7625		32.1
	25.062499999999996		25.2	32.4125		32.6
	24.975		25.1	32.3625		32.5
	24.674999999999997		24.5	32.2625		31.7
	24.78125		24.5	31.3875		31
	24.325		24.4	31.00625		31.3
	24.10625		23.9	30.4625		30.7
	23.712500000000002		23.9	30.325		30.5
	23.981249999999996		23.9	31.106250000000003		30.9
	23.76875		23.7	29.95624999999999		29.6
	23.34375		23.3	29.94375		29.8
	23.45625		23.2	29.58125		29.7
	22.775000000000002		22.7	29.299999999999997		29.2
	22.48125		22.4	29.275		28.9
	22.41875		22.4	29.4625		29.5
	22.424999999999994		22.1	29.14375		28.9
	22.381249999999998		22.3	29.0375		28.8
	22.26875		22.1	29.16875		29.2
	22.162500000000005		22.2	28.75625		29.1
	21.875000000000004		21.8	29.074999999999996		28.7
	21.556250000000002		21.6	28.831249999999997		29.1
	21.68125			29.08125
	21.39375			28.831249999999997
	21.500000000000004			29.275000000000006
	21.725			28.05625
	21.450000000000003			27.400000000000002
	21.575000000000003			27.106250000000003
	21.53125			28.043749999999996
Sep.	21.28125			27.4625
	20.812500000000004			27.6375
	20.5			27.43125
	20.093749999999996			27.13125
	19.893749999999997			27.293750000000003
	19.24375			25.70625
	19.4125			25.962500000000002
	19.11875			25.537499999999998
	19.00625			25.693749999999998
	18.5875			25.73125
	19.35625			25.10625
	19.55			26.018750000000004
	19.575000000000003			26.706249999999997
	19.706249999999997			26.400000000000002
	18.8625			25.4125
	18.6			25.125
	18.3375			26.137499999999996
	18.106249999999996			25.612500000000004
	17.825000000000003			25.31875
	16.881249999999998			25.162499999999998
	16.625			23.4125
	17.075			23.54375
	17.05625			23.26875
	16.918750000000003			22.875000000000004
	16.556250000000002			24.11875
	16.64375			24.450000000000003
	16			23.36875
	15.7			23.125000000000004
	16.025			22.50625
	16.387500000000003			22.737500000000004
Okt.	15.325			22.393749999999997
	15.031249999999998			21.700000000000003
	15.118749999999999			22.1
	14.450000000000003			21.68125
	14.3125			21.7375
	14.200000000000001			21.324999999999996
	14.156249999999996			20.93125
	14.39375			21.718750000000004
	14.181250000000002			21.3375
	13.3125			21.25
	13.074999999999998			20.9125
	13.487499999999997			21.01875
	13.2375			20.5125
	12.912500000000001			20.418750000000003
	13.343749999999998			20.41875
	13.25			20.425
	12.73125			20.631249999999998
	12.61875			20.73125
	12.374999999999998			19.668750000000003
	12.26875			20.04375
	12.3625			20.15
	12.406249999999998			19.88125
	12.8			19.375000000000004
	11.9125			19.631249999999998
	10.975			18.187499999999996
	10.606250000000001			18.1
	11.250000000000002			18.15
	11.10625			17.875
	10.624999999999998			17.987499999999997
	9.95625			17.66875
	10.29375			17.325
Nov.	10.025			18.26875
	10.737499999999999			17.7
	10.806250000000002			16.64375
	9.1125			16.168749999999996
	9.231250000000001			16.587500000000002
	9.581249999999999			17.225
	10.21875			16.193749999999998
	10.28125			16.4375
	8.94375			16.30625
	6.599999999999999			14.243750000000004
	6.44375			13.98125
	7.218749999999999			13.9375
	7.3			14.256250000000001
	7.4312499999999995			14.2875
	7.793749999999999			15.006250000000001
	6.049999999999999			13.287500000000001
	5.43125			12.299999999999999
	4.550000000000001			12.26875
	4.9375			12.450000000000001
	4.44375			12.606250000000001
	4.9937499999999995			12.693749999999998
	4.7875			12.718749999999998
	4.21875			11.825
	4.4937499999999995			12.025
	4.84375			12.13125
	5.1499999999999995			11.781250000000002
	4.20625			10.362499999999997
	3.3875			9.58125
	3.08125			10.58125
	3.6687499999999997			11.01875
Dez.	3.46875			9.8375
	2.3937500000000003			7.481249999999999
	0.20625000000000007			7.931250000000002
	0.5250000000000001			8.83125
	2.0375			9.399999999999999
	1.5749999999999997			9.20625
	2.51875			9.4125
	2.675			9.8875
	2.2375			9.63125
	1.65			8.13125
	1.1875			8.0125
	1.15625			8.88125
	1.6749999999999998			8.7875
	2.2			8.818750000000001
	1.9999999999999998			9.356250000000001
	0.8499999999999999			9.25625
	-1.0533333333333335			7.153333333333333

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

37°C

Höchste Temperatur

30 Jul. 26

-4°C

Niedrigste Temperatur

22 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust35.19°C

Kältester MonatJanuar2.05°C

Nassester MonatJuli5.18mm

Windigster MonatMai20.06km/h

Jiangyin 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 Jiangyin?

August ist historisch gesehen der heißeste Monat in Jiangyin, 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 Jiangyin?

Januar ist der kälteste Monat in Jiangyin, mit durchschnittlichen Tiefstwerten von etwa 1°C. Der Allzeit-Rekordtiefstwert von -9°C wurde am 2016-01-24 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Jiangyin beträgt etwa 1244.8mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Jiangyin verzeichnet historisch gesehen etwa 168.05 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 22.05 Tagen.

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

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

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

Die niedrigste jemals in Jiangyin gemessene Temperatur beträgt -9°C am 2016-01-24.

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

Jiangyin erlebt seine stärksten Winde während März. Der historische Böenrekord von 54.3 km/h wurde am 2024-09-16 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Jiangyin im September etwa 80.3% und fällt im Dezember auf etwa 60.08%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Jiangyin 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

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

Jiangyin 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

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