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

Baiyin Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-8.7375	-8.1		0.1374999999999999	-2.6
	-8.85	-7		-0.36250000000000016	-1.5
	-8.8125	-6.7		0.10624999999999998	-3.4
	-9.01875	-8.3		-0.23750000000000013	-3.3
	-8.8875	-9.1		-0.2	-4
	-8.94375	-8.8		-1.3625	-2.6
	-9.78125	-6.4		-1.2624999999999997	-0.3
	-9.556249999999999	-6.5		-1.35	-0.3
	-9.743749999999999	-6.3		-0.8374999999999999	-2.1
	-9.674999999999999	-7.7		-1.925	-0.9
	-10.493749999999999	-6.6		-0.22499999999999987	0.7
	-9.843749999999998	-4.9		0.4375000000000002	4
	-9.9875	-3.1		-0.018749999999999878	4.4
	-9.39375	-2.7		-1.23125	3.3
Jan.	-9.424999999999999	-3		-0.8187500000000001	4
	-9.55625	-5.2		-0.03750000000000007	1.5
	-9.587499999999999	-4.9		0.3124999999999999	4.5
	-8.55	-7.2		0.91875	-3.7
	-8.7625	-9.4		-0.3374999999999999	-6.7
	-9.275	-10.1		-0.9312499999999997	-4.8
	-9.774999999999999	-7.4		-0.6187499999999999	-2.1
	-10.374999999999998	-7.4		-0.5437499999999998	-0.2
	-10.08125	-5.3		-1.1062500000000002	3.5
	-10.05	-3.2		-1.3125	4.4
	-9.893749999999999	-5.3		0.05624999999999969	-2.1
	-9.543750000000001	-6		-0.5624999999999999	2.1
	-9.862499999999999	-5.3		-0.75	1.7
	-10.01875	-3.7		-1.03125	2.7
	-9.956249999999999	-4.5		0.10625000000000002	-0.3
	-9.3875	-5.4		0.18125000000000008	-1.6
	-8.737499999999999	-5		0.6375000000000001	-0.6
	-8.63125	-4.5		1.28125	1.1
	-8.275	-5.2		1.0437499999999997	1.9
	-8.2	-3.1		1.4000000000000001	2
	-7.749999999999999	-2.5		2.58125	4.3
	-7.1312500000000005	-1.2		2.4062500000000004	4.4
	-7.09375	-5.7		1.425	1.2
	-7.956250000000001	-6.8		1.4625	0.1
	-8.00625	-5.6		1.1687500000000002	4.5
	-8.0125	-3.8		1.5937500000000002	2.4
	-7.7	-4.9		2.3125	3.1
	-7.4437500000000005	-3.2		3.0124999999999997	4.8
	-6.85625	-3		3.2312499999999997	5.5
	-6.518749999999999	-0.3		3.2312499999999997	11.1
	-7.3687499999999995	-1.9		1.05	4.9
Feb.	-7.299999999999999	-4.1		2.74375	0.9
	-6.050000000000001	-4.2		2.96875	1.9
	-5.8187500000000005	-4.8		3.1875	4.5
	-6.425	-2.7		1.6999999999999997	5.7
	-7.0562499999999995	-0.4		4.04375	9.7
	-6.118749999999999	0.6		4.075	14.5
	-5.825	-0.7		3.7875	8.4
	-5.04375	-1.3		5.768750000000001	8.2
	-4.1	-0.3		6.45625	6.3
	-3.3437499999999996	-0.1		5.993749999999999	13
	-2.9937500000000004	-0.2		6.687500000000001	5.9
	-2.85	-1.2		7.512499999999999	10.5
	-2.4562500000000003	-0.5		7.0375000000000005	9.9
	-3.23125	0.3		5.237500000000001	7
	-3.5437499999999993	0.4		5.7	10.9
	-3.125	1.4		6.6000000000000005	9.4
	-2.975	-0.8		8.05	13.4
	-1.7562500000000003	2.8		7.837500000000001	7.1
	-1.4874999999999998	-0.2		7.581250000000001	8
	-1.6562500000000002	-0.6		7.768750000000001	11.4
	-1.725	3.4		9.125000000000002	11.6
	-1.3249999999999997	3.7		9.887500000000001	7.5
	-1.4	1.1		9.05625	13.1
	-0.9875000000000006	4.5		10.049999999999999	17.2
	-0.34375	4.1		10.08125	18.8
	-0.24375000000000002	1.7		11.768749999999999	10.2
	0.006249999999999914	-3		11.724999999999998	1.5
	-0.11875	-3.6		10.44375	2.7
Mär.	-0.04375000000000007	-2.1		12.162499999999998	5
	1.4875	-0.8		12.524999999999999	8.6
	1.6624999999999996	0.1		10.993749999999999	5
	1.2562500000000003	-2		13.312500000000002	5.6
	1.8125000000000002	0.4		12.793750000000001	8.5
	0.6749999999999999	-0.2		11.54375	10.7
	1.5812500000000003	2.7		12.23125	11.3
	1.60625	1		12	10.8
	1.2687499999999998	2.4		12.80625	11.1
	1.8375	4		11.8	14.4
	1.74375	7		12.806249999999999	14.6
	1.7875	5.7		13.3	15.5
	2.34375	4.2		13.656250000000002	9.7
	2.6499999999999995	0.5		14.843750000000002	14.1
	3.756249999999999	4.9		15.862500000000002	11.9
	4.3687499999999995	2.3		14.393749999999999	12.4
	3.8374999999999995	4.8		13.931249999999999	13.8
	3.7375	5.9		16.0375	18.4
	4.275	8.4		15.343749999999998	19
	4.23125	8.8		13.412499999999998	14.1
	3.26875	7.1		13.931249999999999	18.4
	3.0624999999999996	7.8		14.25	18.3
	3.9062500000000004	7.1		14.5	20.2
	4.24375	9.4		15.30625	20.1
	4.19375	9.4		16.474999999999998	21.1
	5.231249999999999	9.9		16.5	19.6
	5.1937500000000005	9.5		15.868749999999999	20.3
	5.125	9.9		16.0375	20
	3.9250000000000003	11.9		15.79375	15.3
	4.3375	9.3		15.343750000000002	17.5
	5.468749999999999	8.8		17.0375	18.1
Apr.	6.425	9		18.374999999999996	14.6
	6.8625	8		19.650000000000002	17
	7.9312499999999995	8.4		19.84375	22.3
	7.25625	10.3		19.6375	25.2
	6.9312499999999995	6.7		18.268750000000004	11.6
	6.83125	4.7		16.975	15.3
	6.35625	5.6		15.843750000000002	14.4
	6.79375	9		18.44375	18.1
	8.06875	9.6		18.90625	21.6
	7.125	11.4		18.093750000000004	21.9
	6.7250000000000005	10.2		18.618750000000002	25.5
	7.3500000000000005	12.7		19.943749999999998	22.9
	7.662499999999999	13.2		18.65625	18.4
	7.31875	11.5		20.962500000000002	17.3
	8.662500000000001	8.1		20.306250000000002	20.4
	8.75625	9.8		20.525000000000002	22.7
	8.76875	8.4		20.375000000000004	14.7
	9.25	8.6		21.9375	14.5
	9.768749999999999	5.9		20.8125	19.1
	9.387500000000003	9.5		20.45625	25.7
	9.481250000000001	10.8		20.3875	26.4
	9.831250000000002	13.7		22.218750000000004	18.4
	10.6875	9.4		21.068749999999998	19.1
	9.743749999999997	10.3		20.15625	22.4
	8.6875	13.6		19.512500000000003	26.3
	9.037499999999998	17.9		19.875000000000004	27.3
	8.799999999999999	15.3		22.112500000000004	28.5
	8.79375	14.6		22.518749999999997	28.7
	9.987499999999999	13.2		22.35	23.2
	10.15625	9.5		21.106250000000003	18.4
Mai	10.362499999999997	9.1		21.525000000000006	12.7
	10.837499999999999	8.9		22.75	22.8
	11.30625	14.1		23.862499999999997	22.1
	11.6625	13.6		24.343750000000004	24.7
	11.71875	14.4		24.699999999999996	27
	12.343750000000002	14.6		24.412499999999998	29
	11.462499999999999	13.2		23.018749999999997	18.8
	10.956249999999999	10.8		22.318749999999998	24.6
	11.66875	17		23.362500000000004	27.5
	11.637500000000001	11.9		22.912499999999998	18.7
	11.6125	11.1		22.362500000000004	23.3
	11.76875	13.7		22.268749999999997	20.4
	12.2125	12.3		23.743750000000002	19.5
	12.83125	11.8		24.275	21.4
	13.337499999999999	14.2		24.125	25.8
	13.075	16.3		24.48125	28.8
	13.331249999999999	18		23.962499999999995	22.2
	14.11875	16		25.768749999999997	26.6
	14.899999999999999	18.1		24.400000000000006	26.8
	13.86875	18.6		23.631249999999998	27.1
	13.1125	15.6		24.69375	28.7
	14.18125	15.7		26.743750000000002	28.8
	15.362499999999999	13.4		26.1375	19.9
	14.962499999999999	13.9		25.275000000000002	23.2
	13.8	13.9		25.625000000000004	26
	14.987500000000002	14.7		24.131249999999998	24.7
	14.08125	15.4		26.631249999999998	26.8
	15.706250000000002	17		27.306250000000006	27
	15.575000000000001	16.8		27.674999999999997	30.6
	16.306250000000002	18.6		28.33125	30.7
	16.03125	20.4		27.6625	28.2
Jun.	15.312499999999998	16.2		27.0375	29.7
	15.85625	17.9		26.575	32.3
	16.15625	21.4		27.487500000000004	30.4
	16.2625	17.5		27.34375	23.9
	16.93125	15.9		27.18125	29.5
	17.15	15.3		27.168750000000003	23.5
	16.474999999999998	15.3		26.7875	22.7
	16.3375	14.2		27.599999999999998	28.8
	17.09375	20.1		28.1	29.5
	16.375	17.2		27.1375	28.6
	16.46875	17.7		27.675	23.3
	16.89375	17.1		28	28.8
	16.843750000000004	20.3		27.9625	31.6
	16.662499999999998	20.9		27.8625	29.6
	16.543750000000003	19.7		26.825000000000003	30.5
	17.325	20.1		28.4	31.7
	17.7625	21.4		27.900000000000002	29.7
	17.762500000000003	20.1		27.099999999999998	29.5
	16.9625	18.7		27.462500000000006	32.1
	16.5375	19.8		27.375000000000004	35.1
	16.9	21.9		28.062500000000004	34.9
	17.63125	21.9		29.806249999999995	32.8
	17.281250000000004	20.8		28.662500000000005	33.9
	17.093750000000004	21.6		26.9375	34.9
	17.3	24		26.812499999999996	33.3
	17.44375	17.2		28.862500000000004	23.1
	17.925	15.2		28.312500000000004	18.1
	17.487499999999997	15		27.443749999999998	27.4
	17.55	18.8		29.081249999999997	30.4
	18.256249999999998	16.2		28.18125	23
Jul.	17.78125	19.7		27.837500000000006	23.7
	18.1	17		29.506249999999998	23.8
	18.312499999999996	17.9		29.48125	29.8
	18.6875	15.8		29.1625	29
	18.09375	19.2		28.64999999999999	31.2
	17.906250000000004	20.5		29.875	31.8
	17.881249999999998	18.5		29.012500000000003	30.7
	17.95625	20.7		28.6125	33.1
	18	21.9		28.6375	34.5
	17.656250000000004	22.8		27.806250000000002	34.8
	17.775000000000002	22.6		28.937500000000004	32.8
	18.575	20		29.681250000000006	31.4
	18.5	19.5		29.687500000000004	27.2
	18.09375	19.6		29.824999999999992	30.6
	18.425	21.1		30.775000000000002	31.1
	19.25	18.7		31.162499999999998	24.4
	19.068750000000005	15.8		30.69375	20.3
	18.975	17.9		30.6125	27.1
	19.731249999999996	18.9		30.899999999999995	23.1
	18.043750000000003	17.2		28.3	29.9
	17.662499999999994	19.8		28.218750000000004	30.8
	18.487499999999997	20.1		29.675	31.6
	18.6	20		28.943749999999998	30.2
	18.35625	20.7		29.143749999999997	31.6
	18.59375	20.6		28.112499999999997	32.1
	17.975	21.1		28.974999999999998	32.9
	18.60625		23.4	29.412499999999998		33.5
	18.50625		19.3	29.01875		27.7
	18.44375		18.1	28.956250000000004		28.5
	18.25		18.3	27.937500000000004		29.7
	17.49375		20.8	28.5625		31
Aug.	17.75		20.3	27.875000000000004		31.5
	17.575		20.7	27.15		30.3
	17.20625		16.3	26.73125		28
	17.1375		19.7	26.1125		29.7
	16.5125		16.2	27.08125		27.6
	16.018749999999997		16.1	25.881250000000005		25.6
	16.325		16.2	24.3125		24.5
	15.96875		16	25.50625		25.3
	15.65		15.4	25.45625		24.6
	15.356250000000001		15.1	24.91875		25.3
	15.624999999999998		15.3	25.1875		23.9
	14.868749999999999		14.9	24.9375		25.4
	15.018749999999999		15.1	24.381249999999998		24.8
	15.050000000000002		14.7	24.725		24.6
	14.687500000000004		14.3	25.8625		25.1
	14.86875		14.9	24.756249999999998		24.8
	15.5125		15.5	25.275		25.4
	15.425		14.9	24.862500000000004		24.2
	14.475000000000001		14.4	23.60625		24.2
	14.518749999999999		14.7	23.868750000000002		24.3
	14.262500000000001		13.8	24.05		23.8
	13.524999999999999		13.7	23.15		22.7
	13.443750000000001		13	23.537499999999998		23
	13.281250000000002		13.4	22.66875		22.9
	13.50625		13.8	23.38125		23.5
	13.549999999999999		13.3	23.19375		21.9
	13.45			23.4875
	13.54375			24.1625
	13.06875			24.075000000000003
	13.525000000000002			22.531249999999996
	12.393749999999999			21.5625
Sep.	12.5625			21.356250000000003
	12.51875			20.7125
	12.531249999999998			20.5875
	12.74375			19.93125
	12.087499999999999			21.15
	11.737499999999999			21.406249999999996
	11.2625			20.34375
	10.875000000000002			19.83125
	10.90625			20.687499999999996
	11.35625			20.637500000000003
	11.543750000000001			20.874999999999996
	11.225000000000001			20.3125
	11.0625			20.3125
	10.468749999999998			20.1625
	10.85			21.424999999999997
	10.581249999999999			19.46875
	9.58125			19.25
	9.44375			18.75625
	9.349999999999998			18.150000000000002
	8.71875			17.825
	7.88125			16.793750000000003
	8.637500000000001			17.387500000000003
	8.968749999999998			17.706249999999997
	7.59375			16.868750000000002
	6.75			14.9
	5.63125			14.962500000000004
	6.3062499999999995			15.118749999999999
	6.899999999999999			14.51875
	7.1			15.012499999999998
	6.125			15.175
Okt.	5.9437500000000005			14.85625
	5.75			15.806249999999999
	5.675			14.524999999999999
	5.624999999999999			15.49375
	6.4625			15.012500000000001
	6.525			15.09375
	6.112500000000001			15.025
	5.349999999999999			13.899999999999999
	4.437500000000001			14.543750000000001
	4.606250000000001			13.700000000000001
	4.99375			12.412500000000001
	4.437500000000001			12.306249999999999
	4.4125000000000005			12.793750000000001
	3.5437499999999997			12.06875
	3.7499999999999996			12.787500000000001
	2.8125000000000004			12.187499999999998
	3.1625			11.674999999999999
	2.5687499999999996			12.23125
	3.1187500000000004			11.7875
	2.31875			11.68125
	2.1			10.38125
	1.3187499999999999			11.237499999999999
	1.35			9.4125
	0.45000000000000007			9.0625
	0.3812500000000001			9.98125
	0.83125			9.606250000000001
	0.40000000000000013			8.981250000000001
	-0.6250000000000001			7.6000000000000005
	-0.68125			7.843750000000001
	-0.3187500000000001			8.356250000000001
	-0.4187499999999999			8.225000000000001
Nov.	-1.0499999999999998			7.762499999999999
	-1.31875			7.456249999999999
	-1.7375			7.0875
	-1.75			7.406250000000001
	-2.1750000000000003			7.4937499999999995
	-1.5874999999999997			6.706250000000001
	-2.09375			5.937500000000001
	-3.274999999999999			5.4312499999999995
	-4.19375			3.5624999999999996
	-3.875			4.7562500000000005
	-3.9625			5.056250000000001
	-4.25			4.3062499999999995
	-3.8624999999999994			4.80625
	-4.03125			4.0375
	-5.093749999999999			2.6437500000000003
	-5.525			2.3187499999999996
	-5.2749999999999995			3.68125
	-5.300000000000001			2.8875
	-5.499999999999999			2.1625
	-5.8500000000000005			2.7750000000000004
	-5.581249999999999			2.9250000000000003
	-5.6937500000000005			2.01875
	-5.5875			2.2687500000000007
	-6.0875			2.21875
	-5.9312499999999995			2.2
	-5.93125			0.9937499999999999
	-6.975			0.5249999999999999
	-7.474999999999999			0.9750000000000001
	-7.468750000000001			0.31250000000000006
	-8.325000000000001			-0.6875000000000002
Dez.	-9.075000000000001			-1.5625
	-9.987499999999999			-0.6375000000000001
	-8.8			-0.05625000000000002
	-8.918750000000001			-0.20000000000000007
	-8.375			-0.2375
	-8.412499999999998			-0.22500000000000003
	-9.04375			-0.05624999999999994
	-8.76875			-0.8812499999999999
	-8.856250000000001			-0.9000000000000001
	-9.593750000000002			-1.1312499999999999
	-9.318750000000001			-1.2125
	-9.306249999999999			-0.71875
	-9.39375			-0.7562500000000002
	-9.7875			-0.12499999999999997
	-9.9125			-1.8187499999999999
	-10.331249999999999			-1.6249999999999998
	-10.046666666666669			-0.7199999999999999

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

35°C

Höchste Temperatur

4 Jul. 26

-10°C

Niedrigste Temperatur

20 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatAugust29.92°C

Kältester MonatJanuar-6.15°C

Nassester MonatJuli2.14mm

Windigster MonatApril31.08km/h

Baiyin 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 Baiyin?

Juli ist historisch gesehen der heißeste Monat in Baiyin, mit durchschnittlichen Höchsttemperaturen von etwa 29°C. Während der stärksten Hitzewellen wurden Temperaturen von 38°C am 2010-07-28 erreicht.

2. Was ist der historisch kälteste Monat in Baiyin?

Januar ist der kälteste Monat in Baiyin, mit durchschnittlichen Tiefstwerten von etwa -9°C. Der Allzeit-Rekordtiefstwert von -22°C wurde am 2011-01-15 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Baiyin beträgt etwa 276.7mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Baiyin verzeichnet historisch gesehen etwa 106.5 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 14.05 Tagen.

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

Die höchste jemals in Baiyin gemessene Temperatur beträgt 38°C am 2010-07-28.

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

Die niedrigste jemals in Baiyin gemessene Temperatur beträgt -22°C am 2011-01-15.

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

Baiyin erlebt seine stärksten Winde während Mai. Der historische Böenrekord von 70.2 km/h wurde am 2025-06-13 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Baiyin im September etwa 49.03% und fällt im April auf etwa 32.5%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Baiyin 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

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

Baiyin 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

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