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

Siping Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-17.84375	-24.7		-9.225000000000001	-14.5
	-18.39375	-21.6		-10.3375	-11.2
	-17.225	-19.7		-9.275	-9.4
	-17	-17.2		-8.8625	-7.4
	-17.19375	-19.4		-8.581249999999999	-7.6
	-17.075000000000003	-14		-8.65625	-3.5
	-17.0875	-18.2		-8.774999999999999	-9
	-16.918750000000006	-20.6		-9.524999999999999	-7.6
	-17.5375	-11.8		-9.549999999999997	-6
	-17.8875	-18.1		-9.500000000000002	-10.7
	-17.48125	-19.2		-9.037499999999998	-14
	-17.34375	-16.1		-9.343749999999998	-5.6
	-17.668750000000003	-21.2		-8.675	-15.4
	-17.8625	-22.4		-8.95625	-7.9
Jan.	-18.35625	-24.6		-9.600000000000001	-7.4
	-18.425	-23.7		-9.762500000000001	-13.7
	-17	-29.4		-8.006250000000001	-16.6
	-16.150000000000002	-25.3		-7.587499999999999	-15.6
	-16.3125	-29.3		-8.2125	-17.9
	-18.05625	-30.2		-8.9	-17.7
	-16.84375	-30.1		-9.274999999999999	-17.6
	-18.100000000000005	-27.6		-10.275	-15.3
	-18.0625	-25.5		-9.4375	-13.5
	-17.5375	-26.9		-9.262500000000001	-14.2
	-17.725	-27		-8.2875	-14
	-16.762500000000003	-19.3		-7.4375	-11.1
	-17.05625	-21.6		-7.5562499999999995	-12.8
	-17.062500000000004	-26.3		-8.50625	-13.1
	-17.13125	-26.9		-7.41875	-13.9
	-17.76875	-26.4		-8.66875	-13.2
	-17.15	-24.2		-6.937500000000001	-11.6
	-17.943749999999998	-22.8		-6.9125	-9.4
	-17.24375	-22.5		-7.6875	-9.6
	-17.60625	-13.9		-7.35625	-1.4
	-17.775000000000006	-14.2		-7.581249999999999	-2.8
	-17.0125	-18.9		-7.3500000000000005	-12
	-16.987500000000004	-25.5		-7.4625	-16.7
	-17.318749999999994	-26.7		-8.212499999999999	-14
	-17.51875	-23.9		-7.325	-9.5
	-16.4125	-12.5		-5.862500000000001	-0.9
	-15.80625	-11.9		-5.706250000000001	-1.4
	-13.950000000000001	-14.2		-4.056250000000001	-1.8
	-12.637500000000003	-12.4		-3.35625	0.3
	-12.91875	-8.3		-2.8937500000000007	3.3
	-13.4125	-6.7		-4.668750000000001	2.8
Feb.	-13.612499999999999	-9.5		-4.0625	-2.9
	-13.006250000000001	-11.9		-3.9187500000000006	-0.3
	-12.431249999999999	-8.3		-3.7124999999999995	3.5
	-12.6	-10.9		-3.337500000000001	-3.3
	-12.212499999999999	-6.1		-2.0312499999999996	5.9
	-12.875	-0.7		-3.4812499999999997	9.1
	-11.44375	4.4		-1.4749999999999999	13.3
	-11.26875	-10.4		-1.9937500000000001	6.6
	-11.650000000000002	-12.2		-1.4374999999999998	-5.9
	-11.062499999999996	-14.4		-0.54375	-1.7
	-10.425000000000002	-5.3		-0.7625000000000004	9.2
	-10.174999999999999	-6.1		0.2125000000000001	1.8
	-9.056249999999999	-9.8		1.74375	-3.7
	-7.843749999999998	-10.9		1.1312499999999999	-2.3
	-9.9375	-6.6		-1.4937500000000004	2.1
	-10.65625	-5.2		-0.3499999999999998	4.4
	-8.89375	-5.2		2.1374999999999997	0.9
	-7.4125	-13.7		2.0124999999999997	-3.6
	-7.981249999999999	-9.5		2.11875	-1.6
	-7.8999999999999995	-9.7		1.04375	-1.7
	-7.1625	-10.5		2.375	-1.3
	-7.1812499999999995	-4.9		1.9187499999999997	3.2
	-7.61875	-8.3		2.9375	2.5
	-6.762499999999999	-4.7		3.8875	7.4
	-5.181250000000001	-2.7		5.4937499999999995	4.4
	-5.062500000000001	-4.7		3.5812499999999994	8.1
	-5.98125	-1.1		4.2124999999999995	11.5
	-5.08125	-4.7		5.106250000000001	3.3
Mär.	-4.968749999999999	-6.1		4.5375000000000005	8.4
	-5.456250000000001	-4.7		4.48125	5.8
	-4.14375	-0.6		6.625000000000001	12.8
	-3.4062499999999996	-4.6		7.0875	2
	-3.3000000000000003	-6.8		6.968750000000001	4
	-3.11875	-7.8		5.84375	5.4
	-3.59375	-1.2		7.2562500000000005	12.3
	-3.39375	2.4		7.968750000000001	9.4
	-2.5999999999999996	-0.1		7.14375	12.3
	-2.3562499999999997	3.9		8.274999999999999	16.2
	-1.7562500000000003	7.8		8.7625	16.7
	-1.4124999999999999	3.1		10.474999999999998	16.9
	-0.23125000000000012	0.3		10.5125	12.5
	-0.48750000000000004	2.2		10.5375	16.1
	-0.39375000000000004	4.8		10.731250000000001	11.1
	0.018749999999999822	0		11.3625	11.8
	0.5187499999999999	2.5		12.09375	15
	0.6249999999999999	2		11.8625	9.7
	0.3875000000000001	0.7		11.049999999999999	14.6
	0.2500000000000002	1		12.1625	15.4
	1.5625	-1.4		12.475000000000001	7.5
	0.79375	3.4		10.887500000000001	11.9
	-0.7687499999999999	0.7		10.018749999999997	2.6
	-0.39375	0.4		11.6125	9.9
	0.39375000000000004	4.3		13.181249999999999	16.9
	1.5937499999999998	7.7		13.05625	11
	2.0187500000000003	5.6		14.674999999999999	8.4
	2.3187499999999996	2.8		13.906249999999998	11.6
	1.125	4.9		13.725000000000001	18.1
	1.825	2		13.537500000000001	12.4
	3.63125	5.5		15.787500000000003	14
Apr.	3.55	6		16.549999999999997	21.4
	4.025	12.4		15.6875	19.4
	4.531250000000001	10.9		15.69375	18.8
	4.24375	6.8		15.006250000000001	18.9
	5.106249999999999	9.3		17.987499999999997	25.3
	5.98125	2.6		17.5	13.7
	5.206250000000001	6.4		16.637500000000003	19.6
	4.8625	4.6		17.431250000000002	13.8
	6.20625	5.2		15.53125	21.5
	5.09375	9.5		16.34375	22.7
	5.49375	9.7		18.4875	22.8
	5.312499999999999	8.1		17.1625	16.9
	4.949999999999999	7.4		17.006250000000005	15
	6.162500000000001	6.2		17.375	16.7
	6.6125	7.5		18.231250000000003	23.1
	6.20625	10.3		17.94375	23.9
	7.000000000000001	11		19.468749999999996	21.6
	7.9312499999999995	9.5		20.699999999999996	17.1
	9.250000000000002	9.3		21.54375	17.5
	8.799999999999999	6.9		20.6375	24.5
	8.45625	15.2		19.10625	25.6
	7.11875	8.8		18.3875	14.3
	7.35625	7.3		20.18125	15.6
	8.318750000000001	6.9		21.36875	18.9
	8.537500000000001	8.1		21.356249999999996	23.2
	9.831249999999999	14.1		22.037499999999998	19.3
	10.375	10.3		22.41875	25.9
	10.412500000000001	14.3		20.287499999999998	27.3
	9.5	15.8		20.5	27.3
	9.9375	16.7		21.25	29.9
Mai	10.781249999999998	17.2		21.462500000000002	29.5
	10.262499999999998	18.2		22.40625	24.4
	10.60625	16.1		22.049999999999997	21.1
	11.625	14.1		23.75625	15.9
	12.531250000000002	12.6		23.068749999999998	24.1
	11.95	12.4		22.48125	25.3
	11.25625	16.4		23.612499999999997	26.6
	11.231250000000003	16.8		24.78125	25.7
	13.049999999999999	14.1		25.53125	21.4
	12.818749999999998	14.5		24.162499999999998	28.5
	12.256250000000001	14.2		23.4	22.7
	12.393749999999997	12		23.33125	25.7
	12.793750000000001	14		23.6875	27.2
	13.31875	15.5		24.762500000000006	24.8
	13.21875	13.4		24.618750000000002	29.5
	13.2375	15.2		24.199999999999996	30.4
	13.91875	18.8		25.8625	33.5
	13.90625	13.6		24.862499999999997	28.8
	13.425	15.9		24.6875	31
	13.74375	11.4		24.7	24.8
	13.743749999999999	11.7		25.431249999999995	22.8
	14.912500000000001	11.2		25.45	23.4
	14.681250000000002	11.6		26.10625	23.9
	15.312500000000002	11.6		26.431250000000002	14.1
	15.524999999999999	11.4		26.29375	19.9
	15.662500000000001	10.3		25.7875	20.7
	15.112499999999999	12.7		23.974999999999998	23
	15.387500000000001	12.9		24.599999999999998	27.5
	15.625	14.1		25.625	30.1
	15.943750000000003	17.5		26.46875	27.6
	16.25	16.7		27.075	29
Jun.	16.3625	17.1		25.900000000000006	22.3
	16.349999999999998	16.1		26.606250000000003	21.1
	16.74375	16.3		27.493750000000002	21.6
	17.39375	15.8		27.462499999999995	27.9
	17.39375	18		27.66875	29.4
	16.875	17.3		26.706249999999997	25.8
	16.66875	16.5		27.5	25.4
	17.4625	14.7		28.0375	26.7
	17.50625	16.1		28.718750000000004	24
	17.68125	14.7		28.268750000000004	26.1
	18.4375	14.9		27.66875	25.6
	18.012500000000003	16.1		27.887500000000003	30.5
	18.381249999999998	17.4		27.156249999999996	29.3
	18.868750000000002	17.7		28.256249999999998	28
	18.7125	18		28.168750000000003	29
	18.58125	17.3		27.625	27.4
	19.09375	18.5		27.5375	27.3
	18.325	19		27.643749999999997	25
	18.381249999999998	18.8		28.300000000000004	28.9
	18.493750000000002	20.8		28.29375	26.6
	18.787499999999998	21.1		28.7375	27.9
	19.05	19		28.706249999999997	28.1
	19.193749999999998	19		28.08125	27.4
	19.19375	19.7		28.037500000000005	25.6
	19.46875	19.6		28.781250000000004	26.5
	19.26875	20.9		29.049999999999997	28.5
	19.575000000000003	21.6		29.168750000000003	23.4
	20.14375	22.1		29.1	26.7
	20.05625	20.4		28.4875	24.6
	19.675	18.3		29.049999999999997	24.5
Jul.	19.5125	19		28.437499999999996	28.2
	19.29375	15.9		27.618750000000002	27.1
	19.8125	18		29.006249999999998	29
	20.13125	19.5		29.70625	29.7
	20.687500000000004	18.6		29.49375	26.6
	20.793750000000003	18.2		29.018750000000004	26.4
	20.306250000000002	19.3		28.6875	28.2
	20.3875	20.6		29.812500000000004	28.4
	20.7125	21		28.937500000000007	29.9
	20.35	21.7		29.081249999999997	28.4
	20.25625	21.2		28.38125	29
	20.5625	21.6		29.212500000000002	30.4
	20.612499999999997	22.6		29.3875	28.9
	20.74375	22.5		28.787499999999998	30.3
	20.818750000000005	23.5		29.043749999999996	31.7
	20.8125	24.9		28.262500000000003	31.5
	20.018749999999997	26		29.118750000000002	31.9
	20.24375	25.5		29.2125	30.9
	20.35625	24.2		28.968750000000004	30.2
	20.74375	24.5		27.981250000000003	32.2
	20.412499999999998	24.5		28.85625	32
	20.118750000000002	24.2		27.799999999999994	31.7
	19.812500000000004	23.7		27.931250000000002	31.8
	19.65625	14.6		27.962500000000006	25.2
	18.93125	11.1		27.368749999999995	22.1
	19.15625	11		28.487500000000008	25.7
	18.950000000000003		19	27.706249999999997		29.4
	19.14375		21.1	27.64999999999999		30.4
	19.3375		21.9	26.799999999999997		30.1
	19.318749999999998		21.2	28.0625		26.2
	19.36875		19.4	27.137499999999996		24.4
Aug.	18.787499999999994		19	26.406250000000007		26.1
	17.987499999999997		21	26.58125		24.2
	17.575		21.2	26.950000000000003		28
	18.38125		18.6	27.18125		26.9
	18.41875		18.3	26.84375		26.3
	17.95625		17.7	26.418749999999996		26.4
	17.8375		17.8	25.8375		25.7
	16.7		16.5	25.537499999999998		25.5
	15.818750000000001		15.9	25.006249999999998		25
	15.93125		16.3	25.049999999999997		24.9
	16.0875		16	24.825000000000003		24.9
	15.318750000000001		15.8	24.556250000000002		24.7
	15.662500000000001		15.9	24.731250000000003		24.4
	15.65625		15.4	23.23125		23
	15.487500000000002		15	22.64375		22.2
	14.98125		14.8	23.9875		23.6
	14.643750000000002		14.9	24.306250000000002		24.2
	14.731250000000003		14.8	24.837500000000002		24.6
	15.075		15.2	24.8375		24.9
	15		14.8	24.437499999999996		24
	14.61875		15.2	23.937499999999996		23.4
	14.60625		14.7	22.83125		22.9
	14.19375		13.8	23.562500000000007		23.4
	13.749999999999998		13.8	23.793750000000003		23.2
	13.850000000000001		13.1	23.381249999999994		22.5
	12.881250000000001		13	22.25625		22.2
	12.924999999999999			22.718750000000004
	12.868749999999999			22.69375
	13.137499999999998			22.96875
	13.36875			23.118750000000002
	12.762500000000003			22.95
Sep.	11.962499999999999			21.75
	11.756250000000001			21.45
	11.137500000000001			21.262500000000003
	10.9875			21.4125
	10.65			21.23125
	10.4			21.368750000000006
	10.500000000000002			20.725000000000005
	10.587499999999999			19.8375
	9.643750000000002			19.25
	9.731250000000001			19.587500000000002
	10.78125			21.043749999999996
	10.825000000000001			21.43125
	11.1125			21.33125
	10.637499999999998			19.856250000000003
	8.375			18.00625
	8.65			18.50625
	8.156250000000002			17.7125
	8.05625			17.43125
	7.0375			17.325000000000003
	6.043750000000001			16.50625
	7.3062499999999995			16.7
	7.4750000000000005			17.1
	6.831250000000001			17.21875
	6.5874999999999995			16.912499999999998
	6.6312500000000005			16.4375
	6.7875			14.937500000000002
	5.5562499999999995			14.193750000000001
	4.075			14.9375
	5.3625			15.131250000000001
	4.8999999999999995			14.175
Okt.	4.437499999999999			13.893749999999999
	2.8			12.16875
	2.3125000000000004			12.05625
	2.6562499999999996			12.59375
	3.4187499999999997			13.200000000000001
	2.9875000000000003			12.887500000000003
	2.4125000000000005			12.218750000000002
	3.0687499999999996			13.3125
	2.63125			11.149999999999999
	1.50625			11.1625
	2.0999999999999996			12.199999999999998
	2.0500000000000003			11.162500000000001
	1.525			10.512500000000001
	0.7500000000000001			9.956249999999999
	0.53125			9.450000000000001
	1.2687499999999998			10.0625
	1.4124999999999999			10.10625
	1.125			8.5125
	-0.05625000000000002			8.98125
	-0.13124999999999998			8.337499999999999
	0.06250000000000014			8.96875
	0.32500000000000007			8.918750000000001
	-0.9875			7.074999999999999
	-2.4625			4.7
	-2.55			5.29375
	-2.99375			5
	-2.80625			5.031249999999999
	-2.54375			5.8500000000000005
	-4.0687500000000005			4.6499999999999995
	-4.393750000000001			3.6874999999999996
	-4.3374999999999995			3.718749999999999
Nov.	-4.9125000000000005			3.2562499999999996
	-4.731249999999999			2.06875
	-5.19375			2.1750000000000003
	-5.6125			1.825
	-5.931249999999999			0.45625000000000004
	-6.61875			0.4437500000000001
	-6.637499999999999			1.80625
	-6.69375			-0.2812499999999998
	-8.468749999999998			-1.8437500000000004
	-9.837500000000002			-2.5125
	-9.568749999999998			-1.63125
	-8.09375			-0.88125
	-9.775			-1.9062500000000004
	-10.325			-2.7062500000000003
	-11.412500000000001			-3.85625
	-11.674999999999999			-4.3999999999999995
	-11.431249999999999			-4.468750000000001
	-10.89375			-3.0812500000000003
	-11.674999999999999			-4.75625
	-11.693749999999998			-4.0562499999999995
	-11.85625			-4.04375
	-11.9375			-5.0249999999999995
	-12.875			-5.475
	-12.562499999999998			-4.6625000000000005
	-10.9875			-4.456250000000001
	-12.768749999999999			-4.55
	-14.13125			-7.3687499999999995
	-14.268749999999999			-7.14375
	-15.55			-7.643750000000001
	-15.31875			-7.6375
Dez.	-15.481250000000003			-8.16875
	-16.056250000000002			-9.156250000000002
	-16.775			-9.3875
	-15.674999999999997			-7.3374999999999995
	-14.84375			-7.25625
	-14.2125			-6.674999999999999
	-14.206249999999999			-6.3375
	-15.156250000000002			-7.299999999999999
	-16.1125			-8.631249999999998
	-17.887500000000003			-10.55
	-18.662499999999998			-9.793750000000001
	-18.674999999999997			-10.387500000000001
	-17.59375			-8.79375
	-17.30625			-8.9
	-16.7125			-7.7875
	-17.11875			-9.45625
	-16.779999999999998			-9.04

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

34°C

Höchste Temperatur

31 Mai 26

-30°C

Niedrigste Temperatur

20 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust29.09°C

Kältester MonatJanuar-22.85°C

Nassester MonatJuli6.3mm

Windigster MonatApril29.39km/h

Siping 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 Siping?

Juli ist historisch gesehen der heißeste Monat in Siping, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 36°C am 2010-06-26 erreicht.

2. Was ist der historisch kälteste Monat in Siping?

Januar ist der kälteste Monat in Siping, mit durchschnittlichen Tiefstwerten von etwa -18°C. Der Allzeit-Rekordtiefstwert von -32°C wurde am 2013-02-08 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Siping beträgt etwa 754.9mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Siping verzeichnet historisch gesehen etwa 126.7 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 20.2 Tagen.

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

Die höchste jemals in Siping gemessene Temperatur beträgt 36°C am 2010-06-26.

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

Die niedrigste jemals in Siping gemessene Temperatur beträgt -32°C am 2013-02-08.

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

Siping erlebt seine stärksten Winde während April. Der historische Böenrekord von 54 km/h wurde am 2010-04-08 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Siping im August etwa 81.2% und fällt im April auf etwa 38.8%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Siping 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

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

Siping 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

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