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

Jiayuguan Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-11.1375	-11.4		-3.2250000000000005	-7.3
	-10.88125	-11.9		-3.5312500000000004	-6.8
	-11.412500000000001	-12		-3.9249999999999994	-4.6
	-12.500000000000002	-12.3		-4.30625	-7.2
	-11.731249999999998	-12.5		-4.7375	-5.2
	-12.375	-11.4		-4.99375	-4.1
	-12.599999999999998	-11		-4.4125000000000005	-3.2
	-11.86875	-10.4		-4.406250000000001	-1.7
	-11.912500000000001	-11.1		-4.1625	-3.7
	-11.58125	-10.2		-3.7	-2
	-11.81875	-9.4		-2.69375	-0.9
	-11.637500000000001	-7.1		-2.675	2.7
	-11.625	-4.4		-3.7437500000000004	-0.7
	-11.9	-6.9		-4.23125	2.6
Jan.	-11.606249999999998	-7.2		-3.5312499999999996	-0.3
	-11.8375	-8.3		-3.3624999999999994	-3
	-11.53125	-10.1		-2.9625000000000004	-6.8
	-10.931249999999997	-14.9		-2.7562499999999996	-10.6
	-11.7	-16.5		-3.9187499999999997	-11
	-11.718749999999998	-14.8		-4.175000000000001	-7.2
	-12.362499999999999	-12.7		-4.3	-4.5
	-12.26875	-11.2		-4.08125	-2.1
	-12.381249999999996	-9.4		-5.43125	0
	-12.675	-9.6		-4.25	-3.9
	-12.649999999999999	-8.9		-4.293750000000001	-0.5
	-12.493750000000002	-8.9		-3.875	-1.3
	-12.400000000000002	-8.1		-4.5375	1.5
	-12.3875	-6.6		-3.568749999999999	-0.9
	-11.53125	-6.2		-3.6875000000000004	-1.4
	-11.80625	-8.8		-3.2062500000000003	-1.5
	-11.806250000000002	-8		-3.21875	-1
	-11.1875	-7.9		-3.3625	-0.5
	-10.668750000000001	-7.9		-2.2874999999999996	0
	-9.85625	-5.3		-1.8562500000000002	2.4
	-9.675	-5.1		-1.96875	4.1
	-9.362499999999999	-5.2		-1.4000000000000001	1.5
	-9.99375	-10.7		-2.24375	-5.5
	-10.087499999999999	-12.6		-2.20625	-2.6
	-10.425	-10.1		-1.55625	0.8
	-9.600000000000001	-8.4		-0.55	-1
	-9.381249999999998	-7.5		4.718447854656915e-16	2.9
	-9.4125	-6.4		-0.25625000000000014	4.1
	-8.50625	-4.1		-0.07499999999999986	9.4
	-8.6125	-2.4		-0.225	7.9
	-9.224999999999998	-6.1		-1.5312500000000004	-1.1
Feb.	-9.168750000000001	-8.6		0.11874999999999994	-2.2
	-8.09375	-6.8		0.006250000000000117	-1.4
	-9.018749999999997	-6.2		-0.6499999999999999	-1.5
	-9.056249999999999	-4.8		-0.6625	5.7
	-8.243749999999999	-2.7		0.7375	10.5
	-7.875	0.2		1.56875	12.1
	-7.625	-5.3		1.3249999999999997	7.1
	-6.8	-3.7		2.412499999999999	5.8
	-6.2437499999999995	-1.8		2.9625000000000004	10
	-5.6625	-2.4		3.599999999999999	12.2
	-5.6375	-5.6		3.4875	1
	-5.4625	-1.5		3.8625000000000007	6.1
	-4.606249999999999	-2.9		3.3625	7.7
	-5.54375	-2		2.3062500000000004	6.5
	-4.875	-1.5		2.9374999999999996	6.8
	-5.10625	-3.7		4.7375	4.2
	-4.8625	-4.7		4.7749999999999995	7.3
	-4.36875	-1.6		4.8125	8.5
	-4.23125	-4.4		4.3187500000000005	5.8
	-3.818750000000001	-1		5.643750000000001	6.6
	-3.5875	-0.2		7.0375	9.2
	-3.075	3		7.206250000000001	10.2
	-3.6312499999999996	2.7		6.85625	15.2
	-3.462500000000001	5.1		6.487499999999999	16.7
	-3.24375	3.4		7.8999999999999995	17.1
	-1.9812499999999997	-4.6		8.78125	3
	-1.4500000000000004	-5.7		7.799999999999999	-0.9
	-2.16875	-6.7		8.06875	2.4
Mär.	-2.35625	-2.6		8.58125	7.1
	-1.1375	-1.3		8.681250000000002	6.5
	-0.6750000000000003	-3.2		9.056249999999999	4
	-0.46875	-4.2		10.34375	3
	-0.5125	-0.1		9.268749999999999	8.7
	-1.1875000000000004	0		8.6	10.4
	-1.25	-0.8		9.006250000000001	8.3
	-0.35624999999999984	1		10.19375	7.2
	-0.2937500000000001	1.8		9.506250000000001	12.8
	-0.41249999999999987	3		10.64375	14.3
	0.3874999999999999	4.4		12.025	15.8
	0.24375000000000008	2.1		11.856250000000003	11.4
	0.70625	0.4		11.74375	7.8
	2.2625	-0.7		12.375000000000002	13.3
	2.4375000000000004	1.5		12.2625	10.8
	2.5125	2.5		12.581249999999999	13.8
	2.2125000000000004	4.3		12.24375	15.7
	1.8937499999999998	7.3		12.6375	17.4
	2.08125	9.3		12.0875	17.8
	2.1062499999999997	4.9		11.96875	17.6
	1.9749999999999999	6.1		11.7875	18
	1.84375	5.7		11.56875	17.4
	1.975	6.5		13.162500000000001	20.9
	3.15	8.6		14.324999999999998	20.9
	3	8.6		14.431249999999997	21.1
	3.5500000000000003	6.4		14.06875	20.1
	4.05625	7		13.706249999999999	21.8
	3.475	11.5		13.5375	18.2
	2.4062499999999996	9.4		13.58125	16.1
	3.28125	6.3		14.299999999999999	16.9
	4.4	5.9		16.124999999999996	18.1
Apr.	5.09375	6.7		17.331249999999997	14.5
	5.8	5.3		18.0125	21
	6.44375	9.7		17.04375	25.6
	5.856250000000001	8.1		16.31875	15.6
	5.9875	4.8		15.937500000000002	12.8
	5.281249999999999	2.9		13.875000000000002	16
	4.543750000000001	8.5		15.906250000000004	17.5
	5.812500000000002	8.4		17.84375	20.3
	6.00625	10.9		17.25625	21
	5.500000000000001	10		17.625000000000004	23.1
	6.46875	11.1		17.718749999999996	22.9
	7.1000000000000005	12.4		18.5875	18.8
	7.268749999999999	11.1		19.48125	17.7
	7.4437500000000005	9		19.831249999999997	19.3
	8.50625	6.9		19.031249999999996	22.5
	8.5375	11.1		19.381249999999998	18.3
	8.80625	7		21.112500000000004	16.3
	8.4625	6.2		19.431250000000002	17.2
	8.368749999999999	7.8		19.925	22.2
	8.712500000000002	10.3		19.93125	26
	9.54375	15		20.081249999999997	22.9
	10.049999999999999	12.6		19.8625	20.3
	9.75625	10.1		20.275	22.5
	9.05	15.2		18.81875	25.2
	8.506250000000001	14.9		18.668750000000003	27.8
	9.03125	15.5		19.525	29.2
	8.818749999999998	16.5		21.0875	31.5
	8.56875	15.5		21.0625	28.2
	9.58125	7		20.200000000000003	18.4
	10.0625	6.8		20.437499999999996	17.9
Mai	10.156250000000002	9.7		21.118750000000002	21.5
	10.68125	9.8		22.35	21.8
	11.337500000000002	9.3		23.556250000000002	22.7
	12.406250000000002	9.9		23.268749999999997	23.5
	12.093749999999998	13.4		23.450000000000003	26.2
	12.274999999999999	13.1		22.662499999999998	23.6
	11.6125	9		21.987499999999997	23.3
	11.543749999999998	9.1		22.325000000000003	26.2
	11.7	15		22.13125	29.5
	12.06875	11.9		22.131249999999998	25
	10.893749999999999	11.2		21.381249999999998	21.3
	11.50625	9.7		21.9	23.3
	12.29375	7.6		23.293750000000003	21.2
	12.956249999999999	11.2		22.631249999999998	25.6
	13.062500000000002	12.9		22.64375	28.4
	12.44375	15.1		23.868750000000002	26.5
	12.968749999999998	15.2		24.61875	26.6
	13.981250000000001	15.6		23.45	30.6
	14.274999999999999	19.5		23.431250000000002	31.4
	13.799999999999999	17.9		23.8875	30.2
	14.35625	15.8		24.781250000000004	29.6
	14.612499999999999	15.4		25.706250000000004	26.5
	15.143749999999999	11.6		24.7125	23.9
	14.65	11		24.362499999999994	26
	14.037500000000001	15.3		24.212499999999995	26.8
	14.687500000000002	13.8		25.36875	27.6
	15.20625	14.3		26.6875	29.4
	15.5875	18		26.712500000000002	29.6
	16.4375	18		27.162499999999998	32.1
	16.912499999999998	18.6		27.424999999999997	33.6
	15.850000000000001	21.4		27.218750000000007	31.4
Jun.	16.0375	19.9		26.55625	32.7
	16.30625	19.6		26.16875	32.9
	16.881249999999998	15		26.925000000000004	24.9
	17.16875	15.5		25.45625	30.4
	16.5	17.9		24.962500000000002	27.2
	16.225	14.9		25.731250000000003	27.5
	16.68125	17.5		26.512499999999996	30.5
	17.1375	19.9		26.349999999999998	31.9
	16.80625	22.7		26.368750000000002	29.9
	17.49375	16.4		27.19375	21.7
	17.525	17.6		26.86875	27.9
	17.5375	19.7		27.612499999999997	31.8
	17.88125	20.9		27.30625	32
	17.65	20.9		26.968749999999996	31.3
	17.581249999999997	21.2		27.30625	31.8
	18.393750000000004	21.5		27.318750000000005	28.3
	17.20625	22.3		26.89375	31.1
	17.725	20.3		26.543750000000003	34.2
	17.724999999999998	22.3		27.81875	37.8
	17.943749999999998	24.8		27.650000000000002	37.6
	17.96875	22.8		28.412499999999998	36.7
	18.80625	23		28.268750000000004	35.3
	18.0125	23		26.706249999999994	35.2
	18.08125	26.6		27.6625	30.7
	18.368750000000002	21.5		28.19375	27.2
	18.3	16.8		28.025000000000006	26.5
	18.98125	17.8		28.368750000000002	29.6
	19.212500000000002	18.1		28.431249999999995	31.8
	18.7625	20.7		27.725	26.8
	18.33125	19.7		27.974999999999998	32.9
Jul.	18.368750000000002	23.7		29.124999999999996	30.6
	19.743750000000002	20.9		29.587500000000006	32.9
	19.618750000000002	21		29.675	26.2
	19.525000000000002	20.5		28.937499999999993	33
	18.81875	23.1		28.78125	34.5
	18.862499999999997	21.1		28.95	31.5
	18.64375	22.3		27.343750000000004	34.8
	18.612499999999997	23.4		28.243750000000006	36.6
	19.49375	23.1		29.325000000000003	37.8
	19.199999999999996	24.3		28.987499999999997	36.9
	19.393749999999997	24.4		29.60625	39.3
	19.812500000000004	25.7		29.768749999999997	34.3
	19.756249999999994	22.6		29.89375	30
	19.90625	22		30.168750000000003	31.1
	20.0125	15.1		31.643749999999997	21
	20.037499999999998	16.6		30.28125	25.1
	20.175000000000004	19.7		29.35	29.8
	19.812499999999996	20.4		28.575	28.5
	19.512500000000003	20.8		27.95	30.2
	19.05625	21.5		27.95	32.2
	19.275	22.6		29.25	33.1
	19.61875	22.5		28.91875	34.5
	19.775	22.1		29.087500000000002	35.3
	19.475	22.6		27.88125	34.3
	18.949999999999996	23.4		29.125	34.9
	19.36875		26.4	29.387499999999996		32.7
	19.18125		20.4	27.443749999999998		27.9
	18.575000000000003		19.7	27.881249999999998		28.8
	18.1125		19.4	27.0875		30.6
	17.94375		19.5	27.018750000000004		30.3
	18.218749999999996		20.4	27.275		31.7
Aug.	17.900000000000002		22.9	27.318750000000005		32.3
	17.6875		22	26.012500000000003		32.2
	17.2375		16.9	25.731249999999996		25.3
	17.037499999999998		16.8	25.618750000000002		25.7
	16.556250000000002		16.5	25.7375		25.8
	16.60625		16.3	25.893750000000004		25.5
	16.04375		16.2	25.425		25.2
	16.306250000000002		16.4	24.61875		24.5
	16.012500000000003		15.9	24.874999999999996		25.2
	15.999999999999998		15.9	26.02499999999999		25.5
	16.0375		15.9	26.037499999999998		26
	15.856250000000001		16.1	25.412499999999998		25.8
	16.29375		15.7	25.81875		25.2
	15.55		15.9	25.087500000000002		25.2
	16.0875		16	25.18125		25.3
	16.01875		15.7	25.025		25.1
	15.906250000000002		15.6	24.81875		24.3
	15.36875		15.4	24.23125		24.6
	15.106249999999996		14.8	24.075000000000003		23.7
	14.818750000000001		14.7	23.6875		23.8
	14.49375		14.5	23.462500000000006		22.9
	14.031250000000002		13.9	22.725		22.3
	13.90625		13.2	22.618750000000002		22.3
	13.16875		13.3	23.425		23
	13.80625		13.7	23.3875		22.4
	13.999999999999998			23.21875
	13.6875			23.268749999999997
	13.2625			23.887500000000003
	12.943749999999998			22.631249999999998
	12.00625			21.168750000000003
	11.91875			20.993750000000006
Sep.	11.568750000000001			20.45
	11.543750000000001			19.74375
	12.031249999999998			20.231250000000003
	11.562499999999998			20.65625
	11.69375			21.50625
	11.58125			21.437500000000004
	11.4875			20.11875
	10.875			19.812499999999996
	10.337499999999999			19.14375
	10.9375			19.893749999999997
	10.41875			18.962500000000002
	9.73125			19.474999999999998
	10.206250000000002			19.475
	9.637500000000001			19.737499999999997
	9.91875			19.775
	9.125			18.368750000000002
	8.0625			17.24375
	7.393749999999999			16.84375
	7.4937499999999995			16.1875
	6.5625			16.36875
	6.86875			15.731250000000003
	6.643750000000001			15.950000000000001
	6.387500000000001			15.737499999999999
	6.01875			14.543750000000001
	5.6000000000000005			13.824999999999998
	4.9875			14.031249999999998
	5.300000000000001			13.243749999999999
	4.687499999999999			13.6125
	4.9625			14.062499999999998
	3.81875			13.73125
Okt.	4.437500000000001			14.2625
	3.4875000000000003			12.487499999999999
	3.4875			13.693750000000001
	4.268750000000001			14.068749999999996
	3.8937500000000003			13.512500000000001
	3.4812499999999997			13.2625
	3.3312499999999994			12.393749999999999
	3.15			12.0125
	2.7562500000000005			12.775
	2.30625			10.6875
	2.1625			10.6
	1.2937500000000002			10.60625
	1.0999999999999999			9.94375
	0.7125			10.46875
	1.0375			10.40625
	0.875			9.76875
	0.15000000000000033			9.55625
	0.9375000000000001			10.475000000000001
	0.29374999999999996			10.012500000000001
	-0.3812499999999999			9.3
	-1.0750000000000002			8.462499999999999
	-1.6124999999999998			7.425
	-1.2625000000000002			6.437500000000001
	-1.8624999999999998			7.4375
	-1.0875000000000001			8.112499999999999
	-1.59375			7.231249999999999
	-2.812499999999999			5.16875
	-3.4624999999999995			5.59375
	-2.7437499999999995			5.8374999999999995
	-3.21875			6.0249999999999995
	-2.94375			5.3625
Nov.	-3.4625			5.2625
	-4.31875			4.2875
	-4.3999999999999995			4.55625
	-3.7812499999999996			5.01875
	-3.8562500000000006			4.25625
	-3.7500000000000004			3.3812499999999996
	-4.73125			3.0874999999999995
	-6.0249999999999995			1.3125
	-6.656249999999999			0.91875
	-6.662499999999999			2.1375
	-5.968750000000002			3.0500000000000003
	-5.637499999999999			2.2562499999999996
	-6.406249999999999			2.40625
	-6.806250000000001			0.59375
	-8.30625			-0.20625000000000002
	-8.01875			0.056249999999999876
	-7.9625			0.5625000000000001
	-7.800000000000002			0.225
	-8.0625			-0.275
	-7.8999999999999995			0.03749999999999987
	-7.487499999999999			-0.33124999999999977
	-7.9312499999999995			-0.5125
	-8.4125			-0.4750000000000001
	-8.39375			-0.4437500000000001
	-8.206249999999999			-1.01875
	-9.29375			-2.6249999999999996
	-9.88125			-2.69375
	-9.850000000000001			-1.9249999999999998
	-10.793750000000001			-3.28125
	-11.925			-4.6875
Dez.	-12.368750000000002			-4.675
	-11.90625			-3.5625
	-11.262500000000001			-3.01875
	-11.50625			-3.893749999999999
	-11.062499999999998			-3.6812499999999995
	-10.331249999999999			-3.49375
	-10.818750000000001			-3.4999999999999996
	-11.837499999999999			-3.65
	-11.8625			-4.7
	-11.75			-4.30625
	-11.862499999999999			-3.68125
	-11.937500000000002			-3.8437500000000004
	-11.600000000000001			-3.4562500000000003
	-11.812500000000002			-3.5062500000000005
	-12.45625			-5.0125
	-12.706249999999999			-4.5125
	-12.446666666666665			-4.053333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

39°C

Höchste Temperatur

25 Jul. 26

-16°C

Niedrigste Temperatur

19 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust32.88°C

Kältester MonatJanuar-10.07°C

Nassester MonatJuli0.56mm

Windigster MonatJuli30.16km/h

Jiayuguan 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 Jiayuguan?

Juli ist historisch gesehen der heißeste Monat in Jiayuguan, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 39°C am 2026-07-25 erreicht.

2. Was ist der historisch kälteste Monat in Jiayuguan?

Januar ist der kälteste Monat in Jiayuguan, mit durchschnittlichen Tiefstwerten von etwa -12°C. Der Allzeit-Rekordtiefstwert von -24°C wurde am 2018-12-28 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Jiayuguan beträgt etwa 140.8mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Jiayuguan verzeichnet historisch gesehen etwa 74.4 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 8.7 Tagen.

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

Die höchste jemals in Jiayuguan gemessene Temperatur beträgt 39°C am 2026-07-25.

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

Die niedrigste jemals in Jiayuguan gemessene Temperatur beträgt -24°C am 2018-12-28.

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

Jiayuguan erlebt seine stärksten Winde während Mai. Der historische Böenrekord von 70.9 km/h wurde am 2025-11-26 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Jiayuguan im Januar etwa 48.08% und fällt im Mai auf etwa 23.4%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Jiayuguan 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

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

Jiayuguan 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

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