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

Sarpsborg Wettertrend-Grafik

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.16874999999999993	-2.5		2.7749999999999995	4.3
	-2.05	-6.2		1.29375	-0.6
	-2.8499999999999996	-7.1		0.9687499999999998	-6.3
	-3.8625	-7.7		0.2937500000000002	-6.8
	-5.1187499999999995	-7.5		-1.23125	-6.6
	-4.8999999999999995	-8.2		-1.03125	-6.6
	-3.6999999999999993	-8.8		0.7	-1.5
	-3.7187500000000004	-9.9		0.07500000000000014	-4
	-3.8125	-6.7		0.15625000000000017	-3
	-3.71875	-14.4		0.9375	-7.9
	-2.60625	-13		2.2375	-9
	-3.8625	-10.8		0.18749999999999978	-3.2
	-4.1	-3.3		0.5312500000000001	-1
	-3.825000000000001	-7.1		-0.2625	1.4
Jan.	-4.45625	-7.4		-0.43750000000000006	2.5
	-3.41875	2.5		0.28749999999999987	5.3
	-3.1562499999999996	1.5		0.28749999999999987	3.7
	-4.54375	-0.7		0.00624999999999995	1.6
	-4.45	-2.9		-0.3500000000000001	-0.1
	-4.5249999999999995	-4.3		-0.4312500000000001	-0.3
	-3.975	-5.9		-0.13125000000000012	-3.1
	-4.012499999999999	-5.4		0.225	-0.8
	-3.187500000000001	-7.1		0.83125	-4.6
	-2.6375	-7.1		1.0687499999999999	-4.3
	-3.2937499999999993	-8.6		1.25625	-5.7
	-2.8875	-12.7		1.0562500000000001	-8.1
	-2.3937500000000003	-10.5		1.43125	-6.5
	-1.4874999999999998	-10.8		1.4874999999999998	-7.2
	-2.5249999999999995	-11.3		1.475	-6.6
	-3.2249999999999996	-10.5		0.5624999999999999	-5.8
	-3.04375	-8.8		0.22499999999999998	-4.3
	-3.3124999999999996	-6.1		0.21875	-3.5
	-4.1375	-8.3		-0.29375	-5
	-4.0125	-8.5		-0.4687499999999999	-4.9
	-4.356249999999999	-10.4		-0.20624999999999988	-5.6
	-4.112500000000001	-9.9		0.65625	-6.8
	-3.25625	-10		0.9437499999999999	-6
	-3.1062499999999997	-9		0.6125	-4.4
	-3.1937499999999996	-10.6		0.6062500000000002	-5.2
	-2.7812499999999996	-9.4		0.5312499999999998	-4.9
	-2.8375	-12.1		0.6812500000000001	-6.7
	-3.5500000000000007	-10.1		0.09375000000000008	-3.2
	-4.09375	-10.1		0.16875000000000007	-6.9
	-4.10625	-12.9		0.38750000000000007	-7.5
	-3.7937499999999993	-13.6		0.4187499999999999	-7.5
Feb.	-2.281250000000001	-11.5		1.2874999999999999	-0.7
	-2.0437499999999997	-7.7		1.5937499999999998	-1.9
	-2.1750000000000003	-7.6		1.9812499999999997	-2.8
	-1.5187500000000003	-9.4		1.8249999999999997	-4.7
	-2.6125	-12.4		1.2187499999999998	-3.4
	-3.15625	-6.7		1.2812500000000002	0.1
	-2.6624999999999996	-4.1		1.4250000000000003	1.6
	-1.9749999999999999	-6.3		1.6999999999999997	-0.1
	-1.2	-3.1		2.4000000000000004	0.1
	-1.4375000000000002	-5.1		3.0124999999999997	0.5
	-1.1375000000000004	-5		2.9625000000000004	1.9
	-1.7	2		2.9625	3.5
	-1.08125	1.7		2.75625	3.3
	-1.03125	-1.8		3.5999999999999996	2.8
	-1.025	-1.6		2.9562500000000003	2.7
	-1.1874999999999998	-0.8		4.15625	2.4
	-0.43125	0		3.925	5.4
	-0.8	0.7		3.09375	6.3
	-1.50625	-0.5		2.4749999999999996	3.3
	-1.6312499999999999	1.5		3.4437500000000005	4.5
	-1.2499999999999996	2.3		2.8874999999999997	4.5
	-1.4437499999999999	1.8		3.0874999999999995	5.9
	-1.16875	2.4		2.94375	5
	-1.7625	1.2		3.0937499999999996	3.7
	-2.1750000000000003	3.4		3.3062500000000004	5.1
	-1.41875	2.9		4.0125	4.8
	-0.8750000000000002	2.4		3.9937500000000004	5.1
	-1.7749999999999997	2.3		4.38125	3.5
Mär.	-1.4687499999999996	1.5		4.18125	4.6
	-0.94375	2.3		4.28125	5.2
	-0.43750000000000006	0.6		4.53125	4.5
	-0.6812499999999999	3.6		5.187500000000001	4.6
	-0.7062500000000002	2.9		4.893749999999999	9.3
	0.23750000000000002	2.6		5.4750000000000005	5.6
	0.35	2		5.95	6.3
	0.07499999999999998	4.2		6	5.8
	0.6812499999999999	3.3		6.30625	7.1
	1.15	2.3		6.66875	5.4
	1.175	1.2		6.65625	6.9
	0.88125	2.3		5.54375	8.2
	0.3999999999999999	1.3		6.16875	5.3
	1.0562500000000004	2.5		7.124999999999999	6.1
	1.325	2		6.987500000000001	5.5
	0.5875000000000001	2.6		5.731250000000001	5.4
	0.6124999999999999	1		6.11875	9.1
	0.19375000000000012	3.9		6.725	8.6
	0.41250000000000003	1.9		7.331250000000001	5.6
	1.00625	1.4		6.7625	3.1
	1.69375	1.7		7.45	8.3
	1.1749999999999996	2.9		6.54375	6.7
	1.4562499999999998	4.3		7.31875	10.9
	2.6812500000000004	1.3		8.75625	10.3
	2.4750000000000005	2.6		8.15	9.1
	2.0187500000000003	4.5		8.118749999999999	7.8
	2.75	0.8		8.556249999999999	7.8
	2.65625	1.3		9.13125	8.4
	2.8437499999999996	2.7		8.275	6.8
	3.3125000000000004	5.5		9.550000000000002	10.4
	2.7375	4.9		9.468749999999998	10.4
Apr.	2.9375	5.2		9.912499999999998	9.9
	3.64375	4.1		9.768749999999999	10.9
	4.01875	5		10.34375	10.9
	3.2874999999999996	6.6		11.137500000000001	10.1
	3.2687500000000003	6.1		11.037500000000001	7.7
	4.0125	1.4		11.38125	11.9
	4.66875	4.5		11.743749999999999	14.5
	4.425	6.6		12.225000000000001	13.6
	4.79375	6.2		11.099999999999998	11
	4.4312499999999995	6.5		10.33125	12.7
	4.075	3.8		10.45	10.4
	3.8500000000000005	1.5		10.9625	7.7
	3.89375	1.3		11.05625	9.4
	4.6499999999999995	3.2		10.875	10.1
	4.800000000000001	5.1		11.331249999999999	11.6
	5.0875	6.3		11.5	13.9
	4.374999999999999	6.8		10.58125	14.5
	4.525	8.8		11.862499999999999	12.2
	4.55625	7.6		11.331250000000002	12.4
	4.76875	6.6		10.675000000000002	14
	4.75	2.7		11.78125	9.9
	5.4125	2.1		11.450000000000001	10.1
	5.44375	3.4		12.118750000000002	11.9
	5.175	5		12.50625	12.5
	6.63125	7.1		13.031250000000002	11.4
	7.15625	6.5		13.8125	10.3
	7.4875	4.8		12.61875	10.5
	6.8875	4.8		13.037500000000001	13
	6.924999999999999	6.1		13.693749999999998	12.5
	7.262500000000001	3.6		14.162500000000001	6.6
Mai	6.9125	6		14.281250000000002	11.1
	7.993750000000001	5.8		15.362499999999999	11.8
	8.20625	7.1		15.268749999999999	11.2
	8.3125	7.5		15.649999999999999	13.4
	9.281249999999998	8		15.968749999999998	14
	9.725000000000001	7.8		16.4	13.6
	9.5125	11.1		16.05	13.5
	9.443750000000001	9.7		16.45	16.4
	9.368750000000002	11.8		16.356250000000003	14.4
	9.55	10.3		15.549999999999999	18.9
	9.975000000000001	12.7		16.4375	18.7
	9.85625	13		17.125	18.8
	9.775	8.7		16.14375	17.3
	9.65	6.9		16.6625	14.5
	9.237499999999999	10		16.84375	15.1
	10.168750000000001	11.9		16.175	20.2
	10.66875	11.4		17.818749999999998	20.9
	10.88125	12.5		17.925	14.6
	10.624999999999998	12.5		17.912499999999998	14.8
	11.200000000000003	12.7		18.362500000000004	21.7
	11.13125	12.5		17.5875	14.9
	10.475000000000001	11.6		17.118749999999995	15.3
	10.874999999999998	11.7		17.775000000000002	15.1
	10.574999999999998	11		16.69375	17
	10.9625	12.4		17.2125	15.8
	11.00625	12.6		17.318749999999998	15.3
	11.25	11.2		17.206249999999997	14.8
	11.2125	11		16.906249999999996	14.8
	11.225000000000001	11.3		17.412499999999998	14.8
	11.337500000000002	11.3		17.300000000000004	14.1
	11.30625	10.2		17.8625	17.7
Jun.	11.2375	11		18.4	17.6
	11.825000000000003	10		18.025	17.4
	11.93125	12.2		18.34375	15.9
	12.406250000000002	12.8		18.374999999999996	19.2
	12.15625	15		18.3625	18
	11.65	15.8		17.868750000000002	18.6
	11.924999999999999	12.5		18.218750000000004	19.8
	12.087499999999997	11.2		17.925	19.4
	11.8625	12		18.150000000000002	17.9
	12.15625	15.1		18.493750000000002	21.1
	12.75	14		19.08125	22.9
	12.8125	15.1		18.825	19.5
	13.224999999999998	16.1		19.543750000000003	22.3
	12.9875	16.6		19.687499999999996	23.2
	13.41875	16.3		19.04375	20.3
	12.875	12.6		19.81875	19.4
	13.362499999999999	14.4		19.1875	19.6
	13.112499999999999	13		19.19375	16.8
	13.4875	12.4		19.406249999999996	21.3
	13.237499999999999	12.2		18.65	19.7
	13.275000000000002	12.7		18.825000000000003	20.9
	13.350000000000001	9.6		18.575000000000003	17.1
	13.50625	12.1		18.88125	18.1
	13.10625	10.8		19.637500000000003	21.9
	13.5	11.3		19.762500000000003	21.1
	13.7375	14.7		20.218750000000004	24.8
	13.6375	16.5		20.1875	22.7
	14.049999999999999	15.9		20.1625	25.4
	13.937500000000002	13.9		20.162500000000005	25.1
	13.6875	15.9		20.075	26.2
Jul.	13.9125	16.2		19.200000000000003	27.6
	13.950000000000001	18.3		19.893749999999997	25.8
	13.96875	16.8		20.61875	22.7
	14.287500000000001	10.9		19.70625	17.1
	14.04375	9		20.237499999999997	16.2
	14.15	10		21.05	22.4
	14.481250000000001	12.3		20.7625	20
	14.425	13.3		20.6375	21.9
	14.174999999999999	9.6		21.437499999999996	19.8
	14.41875	14.8		20.518749999999997	21.7
	14.712499999999999	13.7		20.725	15.9
	14.687499999999998	13.3		20.93125	18.3
	15.006249999999998	11		20.68125	20.8
	14.918750000000001	11.5		20.806250000000002	20.1
	14.625000000000004	15		20.031250000000004	20.2
	14.26875	16.4		19.6375	21.2
	14.393749999999999	14.6		19.68125	17.9
	14.106249999999998	12.2		19.587499999999995	17.6
	14.118749999999999	13.3		19.768750000000004	18.1
	14.487499999999999	11.7		20.025000000000002	18.1
	14.59375	14.3		19.50625	19.7
	14.556249999999999		15.5	19.0125		17.9
	14.1625		15.3	19.375000000000004		17.9
	14.212499999999997		12.5	19.0625		18.6
	14.70625		10.9	19.3875		18.8
	14.075000000000001		15.8	19.2		17.6
	14.1		13.8	18.937499999999996		18.4
	13.506250000000001		12.8	18.568749999999998		19.1
	13.774999999999999		13	19.01875		18.4
	13.65		13.8	19.05		19.1
	13.956249999999999		13.9	19.55		19.3
Aug.	14.381249999999998		14.2	19.80625		19.8
	14.437500000000002		14.5	19.356249999999996		19.4
	14.018749999999999		13.8	19.35625		19.4
	13.8625		13.9	19.287499999999998		19.1
	13.725		13.7	18.79375		18.7
	13.6125		13.7	18.506249999999998		18.7
	13.412499999999998		13.5	18.793749999999996		18.6
	13.206249999999999		13.1	18.46875		18.2
	12.825		12.7	18.6375		18.8
	13.25625		12.9	18.418750000000003		18.1
	13.156250000000004		13.1	18.1625		18.3
	12.924999999999997		13.1	18.118750000000002		18.3
	13.3125		13.1	18.2		18
	12.875		13.1	17.718750000000004		17.7
	12.981250000000001		12.8	17.55625		17.4
	12.65625		12.5	17.88125		17.9
	11.99375		11.9	18.106250000000003		18.1
	11.700000000000001		11.9	18.050000000000004		18.3
	11.918750000000001		12.3	17.556250000000002		17.3
	12.0875		12	17.15625		17.5
	12.0875		12.3	17.368750000000002		17.4
	12.799999999999999			17.868750000000002
	12.474999999999998			17.9
	12.03125			17.3875
	12.15			17.55625
	12.2375			17.89375
	12.63125			17.48125
	12.85			16.7875
	12.387500000000003			16.4375
	11.74375			15.825
	10.925			15.918750000000001
Sep.	10.987499999999999			15.781250000000002
	10.38125			15.575000000000003
	10.106250000000003			15.118750000000002
	10.19375			15.187499999999998
	10.331249999999999			15.375
	10.037500000000001			15.368750000000002
	10.25			15.556250000000004
	10.281249999999998			14.78125
	10.125000000000002			13.9875
	9.23125			13.756250000000001
	9.38125			14.01875
	10.09375			13.975000000000001
	9.606250000000001			13.918750000000001
	9.5375			14.118749999999999
	9.268749999999999			13.662500000000001
	8.612499999999999			13.3625
	8.718749999999998			13.124999999999996
	9.299999999999999			13.312499999999998
	8.8			13.125000000000002
	8.51875			12.687500000000002
	8.681249999999999			12.737500000000002
	7.481250000000001			11.96875
	7.7125			12.018749999999999
	7.937499999999999			11.96875
	7.643750000000001			11.5625
	7.781249999999999			11.493749999999999
	7.075000000000001			11.8125
	6.55			11.131250000000001
	5.749999999999999			11.006250000000001
	6.718750000000001			10.549999999999999
Okt.	6.2625			9.84375
	5.425000000000001			9.40625
	5.79375			9.8875
	5.3375			10.0875
	5.31875			9.274999999999999
	5.5062500000000005			8.975
	5.35			9.149999999999999
	6.331250000000001			9.74375
	6.7562500000000005			9.54375
	6.4875			9.3
	6.56875			9.306249999999999
	5.5687500000000005			9.287500000000001
	5.875			9.350000000000001
	6.2562500000000005			9.081249999999999
	5.093749999999998			8.8625
	4.89375			8.23125
	5.362499999999999			8.7875
	5.612499999999999			9.46875
	5.906249999999999			9.80625
	5.85625			8.99375
	5.8375			8.73125
	4.775			7.4750000000000005
	4.1125			7.1000000000000005
	3.025			6.7375
	3.475			6.5874999999999995
	4.14375			7.1812499999999995
	4.01875			6.65625
	4.0875			7.075000000000001
	3.7312499999999997			6.7625
	3.1062500000000006			5.99375
	3.1999999999999997			6.462500000000001
Nov.	3.5187500000000003			6.5874999999999995
	3.39375			6.868750000000001
	3.3625000000000003			6.24375
	2.19375			5.4125
	2.20625			5.025
	0.7124999999999999			3.4999999999999996
	0.43125			3.3312500000000003
	0.20625000000000002			4.3125
	1.16875			4.750000000000001
	1.99375			4.8875
	0.7062499999999999			5.05
	1.2499999999999998			4.8374999999999995
	1.5187499999999998			4.40625
	8.326672684688674e-17			3.3250000000000006
	-0.43124999999999997			2.5375
	-0.9437499999999999			2.5625
	-0.5375			2.4437499999999996
	-1.375			2.06875
	-1.2499999999999998			2.55625
	-1.9625000000000004			1.8312500000000003
	-1.7499999999999998			1.6562500000000004
	-1.6124999999999996			1.8000000000000003
	-2.10625			1.5625
	-1.41875			2.9562500000000003
	-0.7312500000000002			2.8999999999999995
	-0.3375			3.3000000000000003
	-0.7000000000000001			2.4187499999999993
	-1.9500000000000002			1.4625
	-2.1750000000000007			0.9500000000000002
	-2.2624999999999997			1.8875000000000002
Dez.	-1.1125000000000003			2.2062500000000003
	-0.5187499999999998			4.4937499999999995
	0.33124999999999993			3.79375
	0.7625			4.168749999999999
	0.42500000000000016			4.2437499999999995
	-0.012499999999999817			3.43125
	-0.4687499999999997			2.5374999999999996
	-0.6062500000000001			2.6125000000000003
	-0.8500000000000001			1.80625
	-2.4250000000000003			1.6999999999999997
	-1.375			2.38125
	-1.4625000000000004			2.837500000000001
	-1.7625			1.8250000000000002
	-2.0375			1.5687499999999999
	-1.6937499999999999			2.2250000000000005
	-0.8375			2.6125
	-0.18			4.14

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Jahresübersicht 2026

28°C

Höchste Temperatur

15 Jul. 26

-14°C

Niedrigste Temperatur

10 Jan. 26

Saisonale Aufschlüsselung

Heißester MonatJuli20.98°C

Kältester MonatFebruar-7.79°C

Nassester MonatApril2.38mm

Windigster MonatAugust27.9km/h

Sarpsborg 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 Sarpsborg?

Juli ist historisch gesehen der heißeste Monat in Sarpsborg, mit durchschnittlichen Höchsttemperaturen von etwa 20°C. Während der stärksten Hitzewellen wurden Temperaturen von 30°C am 2018-07-27 erreicht.

2. Was ist der historisch kälteste Monat in Sarpsborg?

Januar ist der kälteste Monat in Sarpsborg, mit durchschnittlichen Tiefstwerten von etwa -4°C. Der Allzeit-Rekordtiefstwert von -22°C wurde am 2024-01-06 gemessen.

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

Der durchschnittliche jährliche Niederschlag in Sarpsborg beträgt etwa 948.5mm, basierend auf Aufzeichnungen über 17 Jahre.

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

Sarpsborg verzeichnet historisch gesehen etwa 198 Regentage pro Jahr. August hat die meisten Regentage mit durchschnittlich 19.3 Tagen.

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

Die höchste jemals in Sarpsborg gemessene Temperatur beträgt 30°C am 2018-07-27.

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

Die niedrigste jemals in Sarpsborg gemessene Temperatur beträgt -22°C am 2024-01-06.

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

Sarpsborg erlebt seine stärksten Winde während Dezember. Der historische Böenrekord von 55.8 km/h wurde am 2025-10-04 gemessen.

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

Normalerweise erreicht die Luftfeuchtigkeit in Sarpsborg im Februar etwa 84.2% und fällt im April auf etwa 70.5%.

Aktuelle Blogs über das Wetter

Alle Blogs anzeigen

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

Sarpsborg 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

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

Sarpsborg 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

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