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

Daqing Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-21.906250000000004	-24.2		-14.956250000000002	-15.1
	-22.256249999999998	-24.1		-14.181249999999999	-12.2
	-21.6875	-22.1		-13.593749999999998	-10.2
	-21.581249999999997	-20.8		-13.60625	-9.3
	-20.993749999999995	-21.3		-13.15	-10.1
	-20.76875	-18.6		-13.05	-8.8
	-19.881249999999998	-22.7		-12.937499999999998	-14.8
	-21.675	-23.6		-13.975	-11.8
	-22.7125	-19.4		-14.225000000000001	-11.9
	-22.725	-22.4		-14.175	-16.3
	-23.63125	-25.2		-14.91875	-15.1
	-23.6	-21.1		-14.79375	-13.6
	-23.293750000000003	-22.8		-15.024999999999999	-16.8
	-22.868750000000002	-24.7		-14.468750000000002	-13.9
Jan.	-23.36875	-25.4		-14.9875	-17.4
	-23.075	-26.1		-14.718749999999998	-15.1
	-22.4875	-26		-13.750000000000002	-17.5
	-22.33125	-28.5		-13.78125	-18.4
	-22.46875	-26.6		-13.9375	-18.9
	-23.125	-25.2		-15.0125	-16.9
	-23.03125	-26.1		-14.89375	-17.2
	-24.04375	-25.7		-15.174999999999999	-15.9
	-22.868750000000006	-27		-13.86875	-17
	-22.04375	-24.2		-13.862499999999999	-15.3
	-21.5375	-24.5		-12.881249999999998	-14.8
	-21.6875	-22		-12.487499999999999	-13.2
	-20.962500000000002	-19.5		-12.7375	-12.5
	-22.662499999999998	-24.2		-14.293750000000001	-15
	-21.600000000000005	-24		-13.143750000000002	-14.6
	-22.26875	-21.6		-13.3375	-12
	-22.31875	-22.5		-12.525000000000002	-12.5
	-21.8125	-19.3		-11.518749999999999	-11.5
	-22.26875	-20.6		-12.76875	-8
	-22.525	-13.4		-12.943750000000001	-2.8
	-22.487499999999997	-18.4		-13.075000000000001	-9.5
	-21.94375	-19.4		-12.44375	-12.5
	-21.45	-24.6		-12.075000000000001	-17.7
	-21.60625	-25.9		-11.8125	-14.6
	-21.54375	-24.1		-11.61875	-8.9
	-21.24375	-20.4		-11.024999999999997	-7.1
	-20.425	-17		-10.41875	-7.3
	-19.33125	-18.1		-8.625	-4.6
	-18.19375	-16.3		-8.0125	-2.8
	-17.825	-14.4		-7.8812500000000005	-1.9
	-19.01875	-9.7		-9.318749999999998	-3.4
Feb.	-18.287499999999998	-12.9		-8.599999999999998	-5.5
	-17.7375	-15		-8.10625	-0.3
	-16.73125	-12.8		-7.51875	-6.2
	-17.325	-17.1		-7.037499999999999	-5.6
	-17.075000000000003	-11.4		-7.481249999999999	1
	-18.38125	-5.4		-7.8375	5.4
	-16.86875	-3.9		-6.3625	7.4
	-15.70625	-10.6		-6.518750000000001	5.1
	-15.899999999999997	-14.9		-5.3375	-11
	-15.481249999999998	-17.2		-4.81875	-8.2
	-15.843749999999998	-14.2		-5.093749999999998	1.1
	-14.606250000000003	-14.7		-3.774999999999999	-8.7
	-13.774999999999997	-17.8		-2.1312500000000005	-11.2
	-12.668749999999998	-19.3		-3.4749999999999996	-8.4
	-13.51875	-15.1		-5.25	-7.6
	-14.337500000000002	-15.7		-4.91875	-5.7
	-14.924999999999997	-10.3		-3.6999999999999993	-1.2
	-13.049999999999999	-15.4		-2.15	-6.3
	-11.8875	-18		-2.44375	-7.5
	-12.137499999999998	-18.7		-2.5562500000000004	-6.4
	-11.44375	-17.6		-1.5624999999999998	-3.7
	-10.975	-10.2		-1.5187499999999996	-0.4
	-10.693749999999998	-11		-1.0187500000000003	0.2
	-9.86875	-5.3		1.0374999999999996	2.6
	-8.9375	-9.1		1.83125	1.6
	-7.881249999999999	-5.4		0.34374999999999983	4.7
	-8.09375	-1		1.0250000000000001	8.7
	-8.649999999999999	-6.4		1.8687500000000001	1.8
Mär.	-7.83125	-6.5		1.33125	4.4
	-8.21875	-7.2		1.9812500000000002	3.9
	-6.950000000000001	-3.6		3.806250000000001	9.8
	-6.38125	-8.8		4.5249999999999995	-2.5
	-5.8125	-10.4		3.9499999999999997	-5
	-5.762499999999999	-11.1		3.7	5.7
	-5.212500000000001	-3.6		5.0375000000000005	8.8
	-5.125000000000002	-1		4.88125	9.1
	-4.793749999999999	-1.6		5.43125	11.5
	-4.125	3.3		5.812499999999999	15.5
	-4.01875	3.3		6.875	12.7
	-3.3562499999999997	1.9		8.212499999999999	10.3
	-2.51875	0.6		8.6625	12.7
	-2.6875	0.5		7.875	11.9
	-2.64375	3.5		8.149999999999999	11
	-2.1937500000000005	1.6		8.712499999999999	11.5
	-2.1625	2.7		9.0625	15.6
	-1.6874999999999998	-1.3		9.15	7.2
	-1.0750000000000002	1.8		9.662500000000001	12.1
	-1.3125000000000002	-0.7		9.625000000000002	6
	-1.1750000000000003	-2.7		9.15625	8.6
	-1.26875	1.2		8.4625	3.7
	-1.7937499999999997	-0.5		8.512500000000003	3.2
	-1.7750000000000001	-0.7		8.875	10.4
	-0.8625	5.1		11.143750000000002	16.6
	-0.46875	3		10.212499999999999	12
	0.9625000000000001	3.2		12.1	12.2
	0.41875	2.8		11.30625	11.9
	0.3937500000000001	6		12.1375	11.7
	0.725	2.4		12.825000000000001	10.2
	1.8937499999999998	1.3		14.693750000000001	12.8
Apr.	2.15625	4.6		13.793750000000001	17.1
	2.2874999999999996	7.5		13.5375	14.7
	1.8562499999999997	7.6		12.98125	14.6
	2.375	4		14.69375	13.3
	3.0500000000000003	8.6		15.493750000000002	20.1
	4.39375	2.4		15.425	9.6
	2.8625	4.7		14.793750000000001	11
	3.099999999999999	4		16.40625	12.3
	4.70625	3.5		15.931250000000002	13.9
	3.54375	4.6		15.25	18.4
	4.218749999999999	1.9		16.30625	13.6
	3.94375	4.5		15.331249999999997	15
	4.175	4.5		16.49375	13.4
	5.043750000000001	6		17.1875	16.1
	5.65625	8.7		17.89375	23.8
	5.41875	14.2		16.625	27.7
	6.13125	11.3		18.6375	20.9
	6.88125	7.7		19.462500000000002	16.1
	8.725	6.4		19.74375	16.6
	7.63125	9		18.89375	22.2
	7.075	12.7		17.2	17.9
	5.5375000000000005	11		16.206249999999997	19.5
	6.5562499999999995	9.5		18.025000000000002	15.7
	7.10625	7.5		18.974999999999998	20.2
	8.5875	10.8		20.9375	25
	8.55625	13.1		19.8875	25
	8.50625	14.3		20.706250000000004	27.7
	9.287500000000001	20.1		18.45	32.4
	8.21875	16.7		18.650000000000002	29.3
	8.656250000000002	16.1		19.3125	33.2
Mai	9.200000000000003	13		20.15625	17.2
	8.293750000000001	7.6		20.21875	16
	9.36875	10		21.112499999999997	18.7
	10.518749999999999	9.7		22.79375	14.8
	11.043750000000001	9.7		21.8625	19.4
	11.36875	13.4		21.0875	26.3
	10.468750000000002	17.8		22.093750000000004	28.8
	10.63125	18.5		23.549999999999997	26.8
	11.475	15.1		24.58749999999999	24.9
	12.425	15.2		23.075	30.9
	11.368749999999999	15.5		21.9375	21.9
	11.5875	12.5		22.25	23.5
	11.85625	14.6		22.6125	24.5
	12.225	14.8		23.418749999999996	26.6
	12.631249999999998	14.8		23.3625	26.1
	12.512500000000003	11.4		23.906250000000004	28
	13.7125	20.9		24.949999999999996	38
	13.174999999999999	13		23.76875	26.4
	12.88125	12.8		23.90625	20.3
	13.162499999999998	13		23.649999999999995	24.9
	14.218750000000002	12.4		25.475	22.5
	13.931249999999999		12.6	24.1		18.2
	14.38125		8.2	24.375000000000004		20.9
	14.618749999999999		11.9	24.60625		13.8
	15.03125		11.3	26.19375		16
	14.95		9.7	25.599999999999998		21.9
	15.124999999999998		15.7	25.00625		24.9
	15.368750000000004		17.4	26.0625		30.4
	15.4875		20.1	24.8375		33.1
	15.61875		15.6	27.131249999999994		26.7
	16.768749999999997		16.5	27.231250000000003		26.6
Jun.	16.59375		16.4	26.500000000000004		26.1
	16.475		16.5	26.4125		27.4
	16.40625		16.2	27.7375		27
	16.54375		16.4	26.8375		26.9
	16.69375		17.2	28.225		28.3
	16.606250000000003		16.5	26.4125		25.7
	16.25625		16.1	26.3375		26
	17.26875		16.7	27.825000000000003		27.3
	17.612500000000004		17	29.1875		28.4
	18.275		18.2	29.3375		29.4
	19.275		19.1	29.118749999999995		29.5
	19.03125		19.1	29.55		30
	18.943749999999998		19.1	27.668750000000003		27.7
	18.606250000000003		18.9	28.537499999999998		28.5
	19.162499999999998		18.7	29.175		28.1
	18.799999999999997		18.3	28.337499999999995		28.1
	18.85625		18.6	27.64375		27.8
	18.5		18.6	28.793750000000003		28.6
	19.2375		19.3	28.949999999999996		28.6
	19.150000000000002		19.3	28.712499999999995		28.8
	18.9		19	28.13125		28.3
	18.912499999999998			28.593750000000004
	19.15625			29.812499999999993
	19.887499999999996			28.718749999999996
	19.925000000000004			28.94375
	19.64375			29.731250000000003
	20.125000000000004			30.118749999999995
	20.106249999999996			30.331249999999997
	19.637500000000003			29.137500000000003
	19.30625			28.900000000000002
Jul.	19.375000000000004			28.787499999999998
	19.91875			28.231250000000003
	20.312499999999996			29.393749999999997
	20.756249999999998			30.131249999999998
	20.943749999999998			30.868749999999995
	21.34375			29.4625
	20.368750000000002			29.8
	20.4875			30.337499999999995
	21.043749999999996			29.518749999999997
	20.375000000000004			28.54375
	19.6			29.099999999999998
	19.924999999999997			29.087500000000002
	20.218750000000004			28.79375
	19.699999999999996			29.106250000000003
	20.275000000000002			29.387500000000003
	19.875000000000004			28.599999999999998
	19.8125			29.124999999999996
	20.10625			28.99375
	19.4625			28.362499999999997
	19.906249999999996			28.268749999999997
	19.162499999999998			28.15625
	19.53125			27.650000000000002
	19.13125			28.375000000000004
	18.41875			27.53125
	18.700000000000006			27.168749999999996
	17.925			26.66875
	17.5375			25.912499999999998
	17.66875			26.362499999999997
	18.21875			26.40625
	17.98125			27.287499999999994
	18.09375			27.38125000000001
Aug.	17.700000000000003			26.931250000000002
	17.287499999999998			26.3625
	17.043749999999996			26.94375
	17.549999999999997			26.837500000000002
	17.599999999999998			26.881249999999998
	16.943749999999998			26.03125
	16.21875			25.256249999999998
	15.85			24.5375
	15.5125			25.243750000000002
	15.825000000000001			25.743750000000002
	16.30625			24.53125
	15.593749999999998			24.856250000000003
	15.6			25.5
	15.4625			24.043749999999996
	15.274999999999999			23.493750000000002
	14.331249999999999			23.143750000000004
	14.018749999999999			23.25625
	14.049999999999999			24.20625
	14.76875			23.9125
	14.21875			24.424999999999997
	14.46875			23.650000000000002
	14.24375			22.88125
	13.95625			23.725
	13.437500000000002			23.26875
	12.862499999999999			22.806250000000002
	12.725			22.143749999999997
	12.056250000000002			21.75625
	12.3			22.25
	11.850000000000001			22.46875
	12.318750000000001			22.299999999999994
	11.6625			21.693749999999998
Sep.	11.38125			21.6
	11.16875			20.81875
	10.350000000000001			20.8375
	10.331249999999999			19.856250000000003
	10.09375			20.099999999999998
	9.53125			19.75
	9.83125			19.925
	9.89375			19.606250000000003
	9.468749999999998			19.031249999999996
	9.60625			19.037499999999994
	9.943750000000001			19.55
	9.69375			19.243750000000002
	10.087499999999999			20.106249999999996
	8.856250000000001			17.4375
	7.306249999999999			16.0375
	7.2562500000000005			17.09375
	6.737500000000002			16.256250000000005
	6.225			15.9625
	6.125			14.637500000000001
	5.318749999999999			14.781250000000002
	6.324999999999999			15.65625
	6.137499999999998			15.343749999999998
	5.7375			15.100000000000001
	5.05625			13.725000000000001
	5.55625			14.68125
	5.081250000000001			13.19375
	4.16875			13.006250000000001
	3.3812500000000005			13.10625
	3.568749999999999			12.906249999999998
	3.21875			11.999999999999998
Okt.	2.5499999999999994			11.100000000000001
	1.8			9.8625
	0.9437500000000001			9.5
	1.3875			10.1875
	1.525			11.125
	0.9312499999999998			9.8625
	0.7375000000000002			9.743750000000002
	1.875			10.69375
	1.6562500000000002			9.656250000000002
	0.58125			8.624999999999998
	0.3500000000000001			9.200000000000001
	0.45000000000000007			8.5375
	-0.21250000000000002			7.7124999999999995
	-0.54375			7.625
	-0.38749999999999996			7.5
	-0.34999999999999987			7.074999999999999
	-0.38125000000000003			7.481249999999998
	-0.70625			6.737500000000002
	-1.775			5.51875
	-2.34375			5.331249999999999
	-2.4375			5.1625
	-2.5937499999999996			5.1375
	-3.8625			3.1749999999999994
	-4.25			1.9812500000000002
	-4.25			2.2625
	-4.4			1.9249999999999998
	-4.55			2.2999999999999994
	-4.906250000000001			2.85
	-6.0125			0.91875
	-5.93125			0.375
	-6.1			0.5062500000000001
Nov.	-7.237500000000001			-0.3812499999999998
	-7.0874999999999995			-1.6875000000000004
	-8.41875			-1.5937500000000002
	-8.26875			-1.9062499999999998
	-8.2625			-3.1874999999999996
	-9.2875			-3.556250000000001
	-9.218749999999998			-1.6999999999999997
	-9.718750000000002			-3.7312499999999997
	-11.075			-4.525
	-11.7125			-5.63125
	-11.687500000000002			-5.33125
	-11.162500000000001			-4.65
	-12.499999999999998			-5.925000000000001
	-13.087499999999999			-7.100000000000001
	-14.65			-7.95625
	-15.106249999999998			-8.562499999999998
	-15.556249999999999			-8.331249999999999
	-14.875			-7.2125
	-15.825			-8.625
	-15.562499999999998			-8.88125
	-15.431250000000002			-8.525
	-16.631249999999998			-9.875000000000002
	-18.00625			-11.33125
	-17.89375			-10.25625
	-17.56875			-10.256250000000001
	-17.8375			-10.6625
	-18.818750000000005			-10.800000000000002
	-19.13125			-11.924999999999999
	-20.18125			-12.862499999999997
	-20.325000000000003			-13.443749999999998
Dez.	-19.65625			-13.612499999999999
	-20.5375			-13.70625
	-21.043750000000003			-13.587499999999999
	-20.71875			-12.974999999999998
	-19.75			-12.80625
	-19.4875			-12.5125
	-19.45625			-12.237499999999997
	-19.55625			-12.587499999999999
	-20.149999999999995			-13.14375
	-22.35625			-15.450000000000001
	-22.431250000000002			-14.6
	-21.825			-14.6875
	-21.693749999999994			-14.268749999999999
	-21.74375			-14.581249999999999
	-21.406250000000004			-14.08125
	-21.29375			-13.89375
	-20.086666666666666			-12.94

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

38°C

Höchste Temperatur

31 Mai 26

-28°C

Niedrigste Temperatur

18 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatMai23.68°C

Kältester MonatJanuar-23.61°C

Nassester MonatJuni3.11mm

Windigster MonatApril29.15km/h

Daqing 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 Daqing?

Juli ist historisch gesehen der heißeste Monat in Daqing, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 39°C am 2025-06-24 erreicht.

2. Was ist der historisch kälteste Monat in Daqing?

Januar ist der kälteste Monat in Daqing, mit durchschnittlichen Tiefstwerten von etwa -22°C. Der Allzeit-Rekordtiefstwert von -35°C wurde am 2013-01-09 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Daqing beträgt etwa 546.3mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Daqing verzeichnet historisch gesehen etwa 120.3 Regentage pro Jahr. Juli hat die meisten Regentage mit durchschnittlich 19.3 Tagen.

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

Die höchste jemals in Daqing gemessene Temperatur beträgt 39°C am 2025-06-24.

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

Die niedrigste jemals in Daqing gemessene Temperatur beträgt -35°C am 2013-01-09.

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

Daqing erlebt seine stärksten Winde während April. Der historische Böenrekord von 56.2 km/h wurde am 2020-09-03 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Daqing im Januar etwa 85.6% und fällt im April auf etwa 37.6%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Daqing 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

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

Daqing 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

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