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

Luanzhou Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-6.6875	-8.6		0.25625	-1.9
	-6.800000000000002	-9		-0.13125	-0.1
	-6.893749999999999	-5.9		-0.06250000000000011	2.7
	-6.73125	-3.6		-0.07500000000000018	2.5
	-7.156249999999999	-4.3		-0.17499999999999982	4.2
	-7.3062499999999995	-3.8		-0.41874999999999996	4.8
	-7.100000000000001	-5.3		-0.23749999999999988	1.8
	-6.9125000000000005	-6		-0.42500000000000027	3.6
	-7.187499999999999	-2.8		-0.5812500000000003	4.6
	-7.2875000000000005	-4.9		-0.08750000000000006	0.3
	-7.1312500000000005	-9.6		-0.55625	-2.9
	-6.96875	-6.8		-0.03749999999999998	3.1
	-6.437500000000001	-5.6		0.70625	0.2
	-6.3875	-4.4		0.18125	2.5
Jan.	-7.1625000000000005	-5.2		-0.40624999999999983	2.6
	-7.081249999999999	-7.1		-0.26874999999999993	0.6
	-6.624999999999999	-9.2		0.2250000000000001	-5.7
	-6.343749999999999	-10.1		0.96875	-4.7
	-5.9625	-10		0.35	-4.7
	-7.025	-13.4		-0.8374999999999996	-6.4
	-6.8875	-12.7		-0.7999999999999999	-4.9
	-7.6875	-11.6		-1.4874999999999998	-2
	-8.43125	-9.2		-1.4374999999999998	-0.5
	-7.918749999999999	-8.3		-0.7312500000000001	0.9
	-7.268749999999999	-8.4		-0.13749999999999996	-3.8
	-6.799999999999999	-7.8		0.33125000000000004	2.4
	-6.5062500000000005	-7.6		0.23124999999999996	0
	-6.36875	-7.2		0.012500000000000067	-2.8
	-6.999999999999999	-8.6		0.0875	-2.4
	-6.4875	-6.1		0.3374999999999999	0.5
	-6.1812499999999995	-6.7		1.04375	1
	-6.625	-5.8		0.43125	4.4
	-6.78125	-7		0.6624999999999998	3
	-6.543749999999999	-3.7		1.0250000000000001	7.2
	-6.6	-0.6		0.56875	8.3
	-5.825000000000001	-8.4		0.50625	1
	-6.8375	-11.7		1.3375	-6.2
	-7.04375	-11.6		-0.5562499999999998	-3.5
	-6.987499999999999	-11.1		0.76875	1.8
	-6.35625	-5.1		2.06875	6.5
	-5.4	0		2.325	9.3
	-4.7375	-2.8		3.51875	7.7
	-4.11875	-0.7		3.0437499999999997	7
	-4.125000000000001	1.8		4.050000000000001	14.3
	-4.612500000000001	2.2		2.525	14.6
Feb.	-5.331250000000001	-1.7		2.4125	4.5
	-5.056250000000001	-4.9		2.6125000000000003	5.8
	-4.81875	-3.8		2.7749999999999995	9.6
	-3.9624999999999995	-1.6		3.35	4.8
	-3.6874999999999996	-2.4		4.6	12.1
	-3.85	1.6		3.7499999999999996	15.3
	-3.7375000000000003	3.4		4.24375	16.3
	-3.7687500000000003	-2.1		4.50625	5.6
	-3.4687500000000004	-5.2		4.6875	2.4
	-3.025	-2.2		4.9437500000000005	2.9
	-2.6249999999999996	-0.4		5.26875	10.8
	-2.5125	0.9		6.124999999999999	5
	-1.9562499999999998	-0.8		6.9312499999999995	4.2
	-1.425	-1.9		6.6625	2.2
	-2.19375	-1		5.0375	3.7
	-2.675	1.4		7.18125	5.8
	-1.4562499999999998	-1.3		7.543749999999999	9.3
	-1.0562500000000001	-2.3		7.8500000000000005	2.3
	-1.8124999999999998	-3.1		6.85	0.4
	-1.7375000000000003	-5.3		6.0375	3.1
	-1.8312500000000003	-3.8		8.068750000000001	5.2
	-1.4437499999999999	-0.8		8.1875	11.2
	-1.2374999999999998	0.1		8.712499999999999	8.9
	-0.6562500000000002	-0.4		9.2625	10.1
	0.3749999999999999	1.3		9.718749999999998	9.4
	0.19375000000000012	0.7		8.75	11.7
	0.10625000000000001	1.2		10.0125	11.8
	0.51875	1.7		10.36875	7.8
Mär.	0.3125000000000001	-0.1		10.65625	12.5
	0.21250000000000008	1.3		9.706249999999999	7.1
	0.7874999999999999	1.6		10.6375	12.5
	1.15625	0.3		10.89375	8.7
	1.18125	0.9		11.762500000000001	14.4
	1.8437499999999998	2.5		10.8	7.2
	1.03125	1.6		12.468750000000002	16.1
	1.8875000000000002	8		12.775	18.3
	2.5562499999999995	6.1		13.0875	13.3
	2.3375	6.8		11.275	17.5
	1.8250000000000002	8.6		13.15625	22.4
	2.9625000000000004	7.9		13.16875	16.6
	2.90625	8		13.612499999999999	14.8
	2.7937499999999997	7.2		14.04375	18.8
	3.3125	8.4		13.675	19.5
	4.143750000000001	7.2		14.518750000000002	13.2
	4.04375	5.9		15.19375	15.3
	4.69375	6.3		14.168750000000001	16.4
	4.66875	4.7		14.331249999999999	20.7
	3.8374999999999995	8.3		14.106250000000001	21.7
	5.0249999999999995	5		15.925	15.8
	4.887499999999999	5.1		14.14375	17.6
	4.1937500000000005	4.9		14.362499999999999	16.4
	4.562500000000001	2.7		15.362499999999999	14.9
	5.4437500000000005	4.3		16.6125	21.6
	6.23125	7.4		15.23125	9.3
	6.156249999999999	7.2		16.8375	24.1
	6.6875	9.4		15.8375	20.5
	5.956250000000001	8.2		15.431250000000002	25.6
	6.868750000000001	10.7		16.306250000000002	17.8
	6.6812499999999995	9.9		19.393749999999997	21
Apr.	7.950000000000001	10.2		18.8375	25.1
	8.18125	13		18.09375	23
	8.45	11.2		17.525	24.9
	8.1625	13.2		17.7875	29.7
	8.08125	9.8		18.31875	26.4
	8.375	5.2		18.043750000000003	22.7
	9.05625	10.1		17.15	25.7
	8.1875	11.3		18.037499999999998	22.3
	8.818749999999998	9.7		18.6375	25.4
	8.3	13.1		18.25	27.9
	8.83125	15.3		19.531250000000004	28.3
	9.262500000000001	12.4		19.9125	19.4
	9.25625	10.8		18.575	22.4
	9.24375	9.4		18.956250000000004	20.2
	9.875	10.6		21.331250000000004	24.7
	10.3125	12.5		20.499999999999996	28.2
	10.924999999999999	14.4		22.04375	27
	11.6375	11.3		22.962500000000002	24
	11.562500000000002	11.2		22.924999999999997	20.2
	12.1	9.2		21.56875	26
	11.90625	14.1		21.525000000000002	31.2
	11.349999999999998	14.5		21.474999999999998	26.6
	11.55625	12.7		22.3625	23.1
	11.831250000000002	12.6		21.262500000000003	26.9
	11.168749999999998	13.8		20.043750000000003	30.1
	11.79375	15.2		22.487499999999997	31
	12.424999999999999	16.8		23.0625	28.5
	12.206249999999997	13.4		22.6875	29.2
	12.462499999999999	15.9		23.124999999999996	34
	12.768749999999999	18.1		23.950000000000003	32.5
Mai	13.1875	15.6		23.400000000000002	29.9
	13.575000000000001	15		23.89375	26.5
	13.787499999999998	16.9		23.84375	19.1
	14.356250000000001	14.8		24.737499999999997	21.5
	14.568750000000001	14.3		25.243750000000002	23.6
	14.6875	15		24.143750000000004	22.8
	15.0375	14.6		24.712500000000002	28.5
	14.26875	14.7		24.956250000000004	20.7
	14.856250000000001	15.3		26.724999999999998	27.2
	15.85625	16.7		26.412499999999998	29.4
	15.74375	15.6		25.7625	21.1
	15.312500000000002	16		24.887499999999996	25.9
	15.5125	16.7		25.906250000000007	28.3
	16.15	18.5		26.4875	28.9
	16.09375	17.8		26.718749999999996	32.2
	16.262500000000003	19.2		26.18125	35.2
	16.13125	21.9		26.718749999999996	32.5
	16.95	20.6		26.462500000000002	35.1
	16.31875	21		26.518750000000004	34.9
	16.56875	15.7		27.275	27.6
	17.206249999999997	15		26.64375	26.9
	17.506249999999998	14.1		28.868750000000002	26.7
	17.6625	12.6		25.76875	18.8
	17.168750000000003	11.4		26.6625	25.8
	17.474999999999998	15.1		27.331250000000004	29.5
	17.8125	17.1		27.243750000000002	23.2
	17.643749999999997	15.7		25.4875	27.8
	17.3625	17.6		26.2625	29.9
	17.80625	19.7		27.0375	33.4
	18.30625	19.2		26.987500000000004	29.4
	18.268749999999997	18.6		27.324999999999996	27
Jun.	18.981250000000003	18.6		27.6375	28.4
	19.0875	19.6		28.1125	29.1
	19.41875	19		28.21875	30.3
	19.95	21		29.331249999999997	32
	20.18125	21		27.875	26.6
	19.731250000000003	19.4		29.562499999999996	27.2
	20.168750000000003	17.4		29.612499999999997	27.6
	20.5875	17.7		28.9125	29.6
	20.306250000000006	18.2		28.85	31.6
	20.5	18.7		28.756249999999998	27.1
	19.981250000000003	17.2		28.793750000000003	29.6
	19.9375	19.5		27.812499999999996	31.7
	20.43125	20		29.518749999999994	34.3
	20.987500000000004	20.9		29.08125	31.1
	20.8125	20.1		29.043750000000003	28.2
	20.631249999999998	19.4		28.531249999999993	24.6
	20.543750000000003	20.3		29.349999999999998	26.3
	21.256249999999998	20.3		29.10625	30.9
	21.131249999999998	21.1		29.118749999999995	34.3
	21.225	23.7		30.075	33.8
	21.88125	21.2		30.418749999999996	31.7
	21.58125	20.8		28.88125000000001	30.7
	21.631250000000005	20.9		28.900000000000002	31.2
	21.893749999999997	20.4		30.081249999999994	31.6
	22.025000000000002	21.5		29.437499999999996	31.2
	21.962500000000002	22.7		28.91875	27.5
	21.768749999999997	23		29.299999999999997	31.2
	22.049999999999997	23.9		29.237499999999997	32.5
	22.462500000000002	23.8		29.868750000000002	27.2
	22.4375	21.4		30.38125	32.3
Jul.	22.193749999999998	23.2		29.53125	33.3
	22.34375	23.4		29.26875	29.9
	22.125000000000004	20.1		29.662500000000005	26
	22.31875	20.1		30.362500000000004	30.8
	22.556250000000002	20.9		29.68125	31
	22.468749999999996	21.5		29.9125	31.5
	21.98125	20.6		30.368750000000002	30.9
	22.69375	22.4		30.20625	29.4
	22.8625	21.4		29.83125	30
	22.875000000000004	21.4		30.743750000000002	31
	23.325	22		30.825000000000003	32.6
	22.993750000000002	23		30.656250000000004	30.7
	22.974999999999998	22.8		29.631249999999994	32.1
	23.14375	24.2		29.862499999999997	34.7
	23.318749999999998	24.3		29.987499999999997	33.9
	23.05	25.9		29.775000000000002	33
	22.912499999999994	25.7		30.718749999999996	34.1
	23.05625	25.8		29.874999999999996	35
	22.90625	25.6		29.80625	34.6
	23.424999999999997	26.7		30.618749999999995	35.6
	23.6875	24.8		30.068750000000005	35.7
	23.3375	24.7		29.549999999999997	35.2
	22.84375	25.9		30.106250000000003	35.2
	22.98125		25.2	29.78125		32.9
	22.675		20.4	28.8625		28.7
	22.300000000000004		16.5	29.437499999999996		27.9
	22.35		22.4	30.237499999999997		30.1
	22.7875		23.7	29.824999999999996		27.6
	22.743750000000002		21.2	29.387499999999996		25
	22.712500000000002		20.9	28.831249999999997		23.7
	22.443749999999998		22.4	28.73125		26
Aug.	22.025		23.8	29.79375		28.5
	21.70625		22.3	28.368750000000002		29.3
	21.349999999999998		21.8	29.04375		29.2
	21.781250000000004		22.3	28.775000000000002		28.7
	22.181249999999995		22.1	28.199999999999996		27.7
	21.3625		21.5	27.537499999999998		28.1
	21.143749999999997		21.3	28.08125		28.6
	20.775		21.3	28.131249999999998		28.2
	20.3375		20.6	28.293750000000003		28.7
	20.21875		20.8	27.237500000000004		27.7
	19.868750000000002		20	27.675		27.6
	19.681250000000002		20.1	27.356250000000006		27.3
	19.31875		19.6	26.16875		26.8
	19.40625		19.7	25.9875		27
	19.24375		19.5	26.850000000000005		27.1
	19.1875		19.4	26.70625		27
	19.212500000000002		19.7	26.98125		27.2
	19.212500000000002		19.6	27.062500000000004		27.1
	19.28125		19.2	27.09375		27.2
	18.725		19.2	26.537499999999998		26.5
	18.75		19.4	26.418750000000003		27.2
	18.706249999999997		19.6	25.881250000000005		26.3
	18.2		18.6	26.881249999999994		27
	17.875000000000004			26.993750000000002
	18.44375			26.175
	18.6			25.887500000000003
	18.41875			26.53125
	18.20625			25.606250000000003
	17.925			25.206249999999997
	17.9375			25.63125
	17.868749999999995			26.087500000000002
Sep.	17.1875			24.95625
	16.5			24.75625
	15.893749999999997			24.543750000000006
	15.843749999999998			23.8625
	15.66875			23.468749999999993
	15.306249999999999			24.33125
	15.3			24.274999999999995
	15.325000000000003			23.775
	14.243750000000002			22.96875
	14.85			23.15625
	14.98125			23.856249999999996
	15.29375			23.85
	15.456249999999997			23.531249999999996
	14.54375			23.08125
	14.1375			22.64375
	13.66875			22.18125
	13.424999999999999			22.812499999999996
	13.100000000000001			20.849999999999998
	12.18125			20.412499999999998
	11.975			20.48125
	11.51875			20.08125
	11.543750000000001			19.96875
	11.706249999999999			20.481250000000006
	11.743750000000002			19.831249999999997
	10.85			18.45625
	10.624999999999998			18.124999999999996
	9.612499999999999			18.599999999999998
	9.7625			18.71875
	10.162499999999998			18.2875
	10.3125			18.91875
Okt.	10.49375			18.90625
	9.3375			17.28125
	8.54375			16.98125
	8.8125			17.0125
	8.3375			17.068749999999998
	7.968749999999999			16.73125
	8.14375			16.06875
	8.16875			16.256249999999998
	7.781250000000001			16.075
	7.05625			16.393749999999997
	7.4875			16.6875
	7.343750000000001			15.64375
	6.96875			15.237499999999999
	6.981249999999999			15.081250000000002
	6.775			14.968750000000002
	6.6812499999999995			14.93125
	6.46875			15.256250000000001
	6.6875			14.05625
	6.3687499999999995			14.41875
	5.812499999999999			13.837499999999999
	5.606249999999999			14.5875
	5.85			13.85625
	4.90625			12.35
	3.4812499999999997			10.950000000000003
	3.7750000000000004			11.36875
	2.9749999999999996			11.44375
	3.34375			11.074999999999998
	3.94375			11.3125
	2.9374999999999996			11.46875
	2.9624999999999995			10.7875
	2.6812500000000004			10.3375
Nov.	2.2062500000000003			9.26875
	2.1			9.156250000000002
	1.7			9.325000000000001
	0.8500000000000002			8.55
	1.44375			8.48125
	1.10625			8.212499999999999
	0.91875			8.6
	0.5625			7.64375
	-0.6062500000000001			6.2625
	-1.9437499999999999			4.7625
	-1.8			5.631249999999999
	-1.8750000000000002			5.2875000000000005
	-1.6874999999999996			4.5687500000000005
	-2.1375000000000006			5.03125
	-2.3749999999999996			4.3875
	-2.975			3.6937499999999996
	-3.3249999999999997			3.1375
	-3.1312499999999996			4.0375
	-3.2624999999999997			3.6687499999999997
	-3.1125			4.0874999999999995
	-2.7312500000000006			4.106249999999999
	-2.7875			3.68125
	-3.7375			3.3125
	-3.2875000000000005			3.0437499999999997
	-3.2937499999999997			3.1437500000000003
	-4.237500000000001			2.725
	-4.262499999999999			1.5499999999999998
	-5.137500000000001			1.0687499999999999
	-5.075			1.11875
	-5.175			0.7
Dez.	-5.643750000000001			-0.3750000000000002
	-5.893750000000001			-0.06875000000000009
	-6.356250000000001			0.38124999999999987
	-5.53125			1.4375000000000002
	-6.0375			1.3250000000000004
	-5.9			1.3312499999999998
	-5.08125			1.6625000000000003
	-5.10625			1.3812499999999999
	-6.41875			0.41874999999999996
	-6.7625			-0.7812499999999998
	-6.49375			-0.03750000000000012
	-6.750000000000003			-0.36249999999999993
	-6.593750000000001			0.79375
	-6.25			0.30624999999999997
	-5.95			0.7437499999999998
	-7.09375			-0.04374999999999987
	-7.666666666666668			-0.4866666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

36°C

Höchste Temperatur

4 Aug. 26

-13°C

Niedrigste Temperatur

20 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust35.22°C

Kältester MonatJanuar-7.41°C

Nassester MonatJuni6.58mm

Windigster MonatApril25.83km/h

Luanzhou 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 Luanzhou?

Juli ist historisch gesehen der heißeste Monat in Luanzhou, mit durchschnittlichen Höchsttemperaturen von etwa 30°C. Während der stärksten Hitzewellen wurden Temperaturen von 39°C am 2023-06-16 erreicht.

2. Was ist der historisch kälteste Monat in Luanzhou?

Januar ist der kälteste Monat in Luanzhou, mit durchschnittlichen Tiefstwerten von etwa -7°C. Der Allzeit-Rekordtiefstwert von -20°C wurde am 2010-01-06 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Luanzhou beträgt etwa 665.01mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Luanzhou verzeichnet historisch gesehen etwa 101 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 17.1 Tagen.

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

Die höchste jemals in Luanzhou gemessene Temperatur beträgt 39°C am 2023-06-16.

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

Die niedrigste jemals in Luanzhou gemessene Temperatur beträgt -20°C am 2010-01-06.

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

Luanzhou erlebt seine stärksten Winde während April. Der historische Böenrekord von 43.9 km/h wurde am 2025-03-25 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Luanzhou im August etwa 75.5% und fällt im März auf etwa 43.3%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Luanzhou 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

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

Luanzhou 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

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