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

Dingxi Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-9.274999999999999	-10.6		-0.475	-3
	-8.993749999999999	-9.8		-0.775	-2.7
	-9.40625	-8.8		-1.11875	-3.1
	-9.312499999999998	-10.6		-1.20625	-3.2
	-9.212499999999999	-11.8		-1.3187499999999996	-3.4
	-10.19375	-12.2		-2.20625	-1.9
	-10.518749999999999	-10.4		-2.1	-0.2
	-10.7375	-9.5		-1.9937500000000001	0.2
	-9.84375	-9.3		-1.23125	0.2
	-10.46875	-10.3		-3.0687499999999996	0.5
	-11.0625	-9.3		-1.2812500000000004	-1.3
	-10.518749999999999	-7.8		-0.6562499999999999	2.7
	-10.2875	-5.1		-1.0125	3
	-10.55	-6.1		-2.3375	4.6
Jan.	-10.3625	-5.5		-1.725	2.4
	-10.05625	-6.7		-1.2750000000000001	3.6
	-10.143749999999999	-5.1		-0.9125000000000001	5.5
	-9.34375	-9		-0.07500000000000004	-1.3
	-9.59375	-11		-0.5750000000000001	-8.4
	-9.81875	-12.6		-2.1562500000000004	-6.4
	-10.6	-9.6		-1.36875	-3.9
	-10.6375	-7.3		-1.4125	0.6
	-10.606250000000001	-4.2		-2.375	2.2
	-11.081250000000002	-4		-2.73125	1.6
	-11.587499999999999	-8.2		-2.21875	-3.4
	-11.0375	-5.6		-2.4625	1.3
	-11.243749999999999	-6.4		-2.2124999999999995	0.5
	-11.637500000000001	-2.7		-2.51875	2
	-11.01875	-7.3		-0.9000000000000001	-2.7
	-10.912500000000001	-8.6		-1.0625000000000002	-5.8
	-10.88125	-7.7		-1.1624999999999996	-2.7
	-10.325000000000003	-6.1		-0.95	-0.8
	-10.075000000000001	-5.7		-0.8687499999999999	-0.3
	-10.3375	-4.5		-0.6187499999999999	0.8
	-9.44375	-3.3		0.7875000000000001	1.7
	-8.875	-1.7		0.18749999999999994	2.6
	-8.875	-7.3		-0.17499999999999993	0.7
	-9.718750000000002	-10.9		-0.44375000000000014	-2.4
	-9.58125	-7.5		-0.47499999999999987	-0.9
	-9.55625	-6.2		-0.2999999999999999	1.9
	-9.1875	-7.9		0.5	0.6
	-9.43125	-4.4		0.9437500000000001	1.6
	-9.1375	-2.4		0.7999999999999998	2.5
	-9.168750000000001	0.2		0.21250000000000002	8.7
	-9.3375	-2.9		-1.0374999999999999	7.1
Feb.	-8.975	-7.3		0.33125000000000004	-1.3
	-8.05625	-6.5		0.8874999999999998	0.8
	-7.906249999999998	-4.3		0.99375	3
	-9.143749999999999	-3.6		-0.6	2.7
	-10.387499999999998	-2.3		0.65625	7.8
	-9.243749999999999	1.4		0.6625	12.3
	-8.00625	-0.4		0.23749999999999993	7.9
	-8.15625	0.4		1.9562500000000003	7.9
	-6.48125	-0.5		2.6562500000000004	3.1
	-6.093749999999999	-0.4		2.4562500000000003	11.2
	-6.018750000000001	-1.9		2.931250000000001	4
	-5.6	-1.8		3.3937500000000003	9.7
	-5.48125	-0.1		3.4687499999999996	7.8
	-6.16875	1.2		1.68125	6.1
	-6.88125	-1.2		2.7687500000000003	7
	-6.0125	-0.8		3.0000000000000004	5.4
	-6.23125	-1.3		4.70625	9.7
	-4.550000000000001	-0.2		4.28125	7.8
	-4.08125	-1.1		4.13125	6.4
	-4.443749999999999	0.1		3.9250000000000003	9.6
	-4.3062499999999995	1.1		5.5875	4.9
	-4.29375	-0.1		7.05	6.4
	-3.58125	-0.2		5.95625	8.8
	-3.9187499999999993	1.9		6.487500000000001	14.4
	-3.7875	4.5		6.862499999999999	13
	-3.3875000000000006	-0.4		8.25625	6.2
	-2.5250000000000004	-8		8.56875	-2.8
	-3.65625	-8		7.04375	-4
Mär.	-2.75	-5.9		8.024999999999999	0.4
	-1.975	-3.4		8.275	3.3
	-1.76875	-4.4		7.731249999999999	-0.3
	-2.03125	-5.4		9.64375	0
	-1.6375	-3.2		8.85	1.8
	-2.6500000000000004	-0.5		8.056249999999999	6.9
	-1.61875	0.6		8.21875	8.5
	-1.6562499999999998	-1		7.85	6.7
	-2.3937500000000003	-0.8		8.768749999999999	7.1
	-2.0375000000000005	2.2		8.15625	10.7
	-1.6625	4.8		8.612499999999999	9.6
	-1.8625	4.1		9.875	11.9
	-1.1062499999999997	1.8		9.762500000000001	7.8
	-0.7312500000000001	-0.6		10.687499999999998	11.2
	0.1562499999999999	-0.7		11.400000000000002	6.4
	0.7562499999999999	-1.6		10.6875	4.1
	0.7187500000000001	1.8		10.0875	9.8
	0.13750000000000004	4.5		11.7625	14.3
	0.7875	5.9		11.243750000000002	13.5
	0.55	5.5		9.825	10.9
	-1.0250000000000001	5		10.350000000000001	14.6
	0.037499999999999936	5.6		10.5125	14.7
	0.4	6.8		10.325000000000001	15
	0.35000000000000003	6		11.875	11.7
	0.8875000000000001	6		12.59375	15.8
	1.23125	9.3		12.874999999999998	17.3
	1.8875000000000002	8.2		12.79375	15.8
	1.4812500000000002	7.5		12.281250000000002	16.4
	0.5062500000000001	8.8		12.256250000000001	13.4
	0.9750000000000001	8		11.587499999999999	13.9
	1.1749999999999998	5.3		13.131249999999998	13.5
Apr.	2.4499999999999997	5.5		13.818750000000001	9
	2.95625	4.4		15.462499999999997	12
	4.06875	6.8		16.23125	17.4
	3.9375000000000004	7.1		15.006250000000003	20.7
	3.40625	2.6		14.368750000000002	6.3
	3.20625	0.9		13.3375	10.5
	2.6062499999999997	0.2		12.068750000000001	10.2
	3.26875	4.3		13.84375	13.7
	3.4374999999999996	6.9		14.275	16.6
	3.1125	8.1		13.95	17.5
	3.16875	9.7		14.643750000000002	21.1
	3.3000000000000003	9.5		15.356250000000001	19.8
	3.1499999999999995	7		14.781249999999998	12.1
	3.9	5.9		16.718750000000004	14.7
	4.575	4.5		16.581249999999997	13.6
	4.2875000000000005	3.8		15.89375	14.4
	4.5875	4.4		16.1875	7.2
	5.01875	4.1		17.53125	11
	5.237500000000001	4.2		15.700000000000003	14.7
	5.3	7.1		16.1375	20
	5.206249999999999	7.2		15.587499999999999	20.8
	5.437499999999999	10.5		17.631249999999998	15.3
	5.875000000000001	5.9		16.1125	13.6
	5.568749999999999	6.2		15.7	17.1
	4.93125	10.2		14.956249999999997	21.7
	4.674999999999999	12.9		15.331249999999999	22.2
	5.11875	13.6		17.51875	23.9
	4.9125	8.2		18.306250000000002	21.1
	5.96875	7.3		17.5625	14.5
	5.906250000000001	8.8		15.862499999999999	15.3
Mai	5.71875	6.3		16.318749999999998	7.1
	6.362500000000001	6.8		17.71875	19.5
	6.7125	10		18.856249999999996	18.3
	7.08125	11.6		19.887500000000003	18.4
	7.206250000000001	10.4		19.999999999999996	19.3
	8.087499999999999	8.7		19.36875	22.1
	7.2125	6.9		17.86875	15.5
	6.718750000000001	8		17.224999999999998	21.2
	6.9437500000000005	12.5		18.381249999999998	22.2
	7.318749999999999	8.1		18.025	14.1
	7.781250000000001	8.4		17.83125	18.9
	6.80625	11.5		17.45	17.5
	7.968750000000001	6.8		18.60625	14.3
	7.8375	6.2		18.7	16.8
	8.31875	10.6		18.76875	20.7
	8.749999999999998	13		19.587500000000002	23
	8.5625	13.2		18.69375	17.9
	9.24375	12.6		20.4375	22.5
	9.36875	15.3		18.9625	24.1
	9.037500000000001	16.2		18.287499999999998	22.6
	8.25625	13.1		19.76875	24.4
	9.331249999999999		13.3	21.293750000000003		23.9
	10.237499999999999		10.5	21.187500000000004		14.8
	10.2625		9.8	19.612500000000004		19.3
	9.731250000000001		11.4	21.11875		19.3
	9.88125		13.4	19.1625		21.3
	9.306249999999999		13.1	21.275		21.9
	10.793750000000003		13.8	21.987499999999997		22.4
	10.768749999999997		13.6	22.068749999999998		25.3
	10.993749999999999		10.9	22.331249999999997		22.3
	11.124999999999998		10.7	21.943749999999998		21.9
Jun.	10.268750000000002		10.5	21.50625		21.2
	10.737500000000002		10.4	20.725		20.9
	11.256249999999998		11.1	20.981249999999996		22
	10.98125		11.5	22.118749999999995		22.4
	12.0375		12.1	21.575000000000003		21.4
	11.9875		11.6	21.7375		21.4
	11.662499999999998		11.6	21.6		21.6
	11.506250000000001		11.5	21.499999999999996		22
	11.556249999999999		11.9	22.86875		22.8
	12.262500000000001		12	22.025		22.2
	11.93125		12.2	22.387500000000006		22.7
	12.31875		12.2	21.75625		21.3
	11.78125		11.9	21.8		22
	11.887500000000001		12.2	22.425		22.3
	12.1875		12.2	21.65		22.3
	12.443749999999998		12.6	22.89375		23.1
	12.712499999999999		12.4	22.8625		22.7
	12.881250000000001		12.9	21.86875		22.7
	12.281249999999998		12.4	22.33125		21.9
	12.45625		12.2	22.05		22.5
	12.112499999999999		12.1	22.69375		23
	12.668750000000001			23.88125
	13.081249999999999			23.362499999999997
	13.15625			22.287499999999998
	12.65			21.63125
	12.593750000000002			23.55
	13.462499999999999			23.50625
	12.687499999999998			22.112499999999997
	12.925000000000002			23.656249999999996
	13.368749999999999			23.31875
Jul.	13.34375			22.974999999999998
	13.05625			24.468750000000004
	13.4625			24.118749999999995
	13.84375			24.15
	13.2875			22.931250000000002
	13.243749999999999			24.681250000000002
	13.406250000000002			24.000000000000004
	13.5			23.531249999999996
	13.5375			23.3
	13.493750000000002			23.418749999999996
	13.56875			23.79375
	14.20625			24.231250000000006
	14.012499999999998			24.137499999999996
	13.61875			24.3
	14.168750000000003			25.531249999999996
	14.1375			25.743750000000006
	14.30625			24.693749999999998
	14.506249999999996			25.499999999999996
	14.293750000000001			25.000000000000004
	13.825000000000001			24.043749999999996
	13.762500000000001			23.2
	14.362499999999999			24.41875
	13.9375			24.5375
	14.124999999999998			24.0125
	13.7375			23.29375
	13.3625			24.006249999999998
	14.175			24.856250000000003
	14.29375			24.05625
	14.112500000000002			23.86875
	13.756250000000003			23.487500000000004
	13.525			24.068749999999998
Aug.	13.693750000000003			23.45
	13.6125			23.293750000000003
	13.687499999999998			22.475
	13.537499999999998			21.412500000000005
	13.2375			22.29375
	12.524999999999999			21.9875
	12.74375			21.44375
	12.35625			21.093749999999996
	12.393749999999999			22.074999999999996
	11.868749999999999			21.074999999999996
	11.943750000000001			20.9625
	11.206250000000002			20.150000000000006
	10.975			20.187499999999996
	10.975			19.856249999999996
	11.19375			21.012500000000003
	11.40625			20.525000000000002
	11.268749999999999			20.35625
	11.625000000000002			20.56875
	11.05625			19.256249999999998
	10.8125			19.73125
	10.84375			19.393749999999997
	10.075000000000001			18.48125
	10.1875			18.35625
	10.1375			18.65
	10.306249999999999			19.21875
	10.36875			19.61875
	10.10625			18.900000000000002
	9.725			18.73125
	9.46875			19.55
	9.8625			17.48125
	9.175			17.137499999999996
Sep.	9.5625			17.099999999999998
	9.762500000000001			17.2625
	9.36875			16.231250000000003
	9.156249999999998			15.8875
	8.924999999999999			16.83125
	7.98125			17.224999999999998
	7.84375			15.96875
	7.175			15.506249999999998
	7.487500000000001			16.125000000000004
	7.8687499999999995			16.35
	7.768750000000002			15.98125
	7.44375			15.5625
	7.4625			15.743749999999999
	7.356249999999999			16.143749999999997
	7.5375			16.75625
	6.725			15.63125
	6.331250000000001			15.625
	5.9			15.05
	5.737499999999999			14.037500000000001
	5.1			13.743749999999999
	4.7562500000000005			12.662500000000001
	4.937500000000001			13.549999999999997
	5.7124999999999995			14.068750000000001
	4.5874999999999995			13.04375
	3.7312499999999993			11.525
	3.0875			11.693750000000003
	3.525			11.381250000000001
	3.5499999999999994			10.5875
	3.7125			11.412499999999998
	3.16875			11.618750000000002
Okt.	3.0187500000000003			11.6
	2.925			11.8625
	2.75625			11.381250000000001
	2.8187499999999996			12.206249999999999
	3.5812500000000003			11.150000000000002
	3.5062499999999996			11.506249999999998
	3.33125			11.706250000000002
	2.7687500000000007			10.44375
	1.8625			11.225000000000001
	2.16875			10.043750000000001
	2.46875			9.225000000000001
	1.6687500000000002			9.549999999999999
	1.925			9.68125
	0.8125			9.625000000000002
	0.9937499999999999			9.575
	0.36249999999999993			9.2625
	0.9812500000000001			9.10625
	0.96875			9.381249999999998
	0.8624999999999999			8.99375
	-0.031249999999999944			8.95625
	-0.006249999999999756			7.775
	-0.25			8.41875
	-1.15			6.887500000000001
	-1.9937499999999997			6.468750000000001
	-1.1375			7.331249999999999
	-1.2500000000000002			6.58125
	-1.7437500000000001			6.456250000000001
	-2.7062500000000003			5.6625
	-2.5687499999999996			5.6625
	-2.0999999999999996			6.5
	-1.9249999999999998			6.6312500000000005
Nov.	-2.3687500000000004			5.9750000000000005
	-2.7562500000000005			5.8187500000000005
	-3.0125			5.456249999999999
	-3.3375			5.324999999999999
	-3.5624999999999996			5.793749999999999
	-3.2625			4.9937499999999995
	-3.825			4.1499999999999995
	-4.6375			3.9125
	-5.7562500000000005			2.4687499999999996
	-5.25			3.4249999999999994
	-5.4750000000000005			3.5125000000000006
	-5.13125			3.0249999999999995
	-5.3625			2.9499999999999997
	-5.7124999999999995			2.64375
	-6.562499999999999			1.8375
	-7.081250000000001			1.3124999999999998
	-6.59375			2.425
	-6.681250000000001			2.3812500000000005
	-6.643750000000001			1.6374999999999997
	-6.8374999999999995			1.9375
	-6.6375			1.7999999999999998
	-6.8875			1.4
	-6.800000000000001			1.2812500000000002
	-6.68125			1.56875
	-6.88125			1.6750000000000003
	-7.331250000000001			0.37500000000000006
	-8.175			-0.9249999999999999
	-8.693750000000001			0.26249999999999996
	-8.424999999999999			-0.7750000000000001
	-9.1875			-1.4375
Dez.	-10.20625			-3.025
	-10.731250000000001			-1.5687499999999999
	-10.275			-0.5437500000000001
	-9.48125			-0.8374999999999998
	-9.056249999999999			-0.7249999999999999
	-9.187499999999998			-0.79375
	-9.531250000000002			-0.07499999999999997
	-9.549999999999999			-1.5875
	-9.749999999999998			-1.4874999999999996
	-10.1			-1.0187499999999998
	-9.96875			-2.25
	-10.231249999999996			-1.5312499999999998
	-10.2			-1.4687499999999998
	-10.512500000000001			-0.8562499999999998
	-10.9375			-2.49375
	-11.125			-2.0250000000000004
	-10.4			-0.9266666666666664

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

24°C

Höchste Temperatur

4 Jun. 26

-13°C

Niedrigste Temperatur

20 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuni23.4°C

Kältester MonatJanuar-8.16°C

Nassester MonatJuni2.45mm

Windigster MonatMai28km/h

Dingxi 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 Dingxi?

Juli ist historisch gesehen der heißeste Monat in Dingxi, mit durchschnittlichen Höchsttemperaturen von etwa 24°C. Während der stärksten Hitzewellen wurden Temperaturen von 32°C am 2025-07-16 erreicht.

2. Was ist der historisch kälteste Monat in Dingxi?

Januar ist der kälteste Monat in Dingxi, mit durchschnittlichen Tiefstwerten von etwa -10°C. Der Allzeit-Rekordtiefstwert von -25°C wurde am 2011-01-29 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Dingxi beträgt etwa 631.9mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Dingxi verzeichnet historisch gesehen etwa 168.3 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 19.3 Tagen.

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

Die höchste jemals in Dingxi gemessene Temperatur beträgt 32°C am 2025-07-16.

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

Die niedrigste jemals in Dingxi gemessene Temperatur beträgt -25°C am 2011-01-29.

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

Dingxi erlebt seine stärksten Winde während Mai. Der historische Böenrekord von 50.4 km/h wurde am 2026-05-06 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Dingxi im September etwa 67.6% und fällt im April auf etwa 47.4%.

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

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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

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

Dingxi 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

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