Schweinfurt Rekaman Cuaca Bersejarah
Analisis hari terpanas, terdingin, paling berangin & paling basah

Schweinfurt Grafik Tren Cuaca

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.9375000000000001	-0.2		5.281250000000001	1.1
	-0.050000000000000044	-2.9		4.20625	0.8
	0.35624999999999996	-4.1		4.000000000000001	-0.9
	0.11250000000000004	-4.8		3.8749999999999996	-1.7
	-0.5562499999999999	-8		3.55	-2.1
	-0.5312499999999998	-8.3		3.6999999999999997	-2.9
	-0.42499999999999993	-11.4		3.5562500000000004	-3.7
	0.1999999999999999	-7.5		3.6999999999999993	-0.3
	-0.07499999999999997	-0.3		4.1937500000000005	4
	-0.525	-6.2		3.6187499999999995	1.9
	-1.7062499999999998	-8.1		2.6624999999999996	-2.2
	-0.6749999999999999	-6.1		3.1624999999999996	1.9
	-0.8375	1.2		3.7187500000000004	2.9
	-0.76875	-0.9		3.5874999999999995	3.9
Jan.	-1.3812499999999999	0.7		3.4499999999999993	5.8
	-1.5624999999999998	0.2		2.9437499999999996	5.3
	-2.0187500000000003	2.1		2.6062500000000006	5
	-2.44375	-1		2.33125	4.2
	-3.1374999999999997	-1.6		1.8312500000000003	3.9
	-3.3249999999999993	-3		1.8	3.2
	-3.8625000000000007	-4		1.8312499999999998	2.9
	-2.962500000000001	-3.8		2.0125	2.3
	-2.3000000000000003	-3.6		2.0625	2.3
	-2.1062499999999993	-2.9		2.49375	1.7
	-1.9562499999999996	-3.7		2.3625000000000003	2
	-2.4937500000000004	-0.9		2.6875	1.2
	-1.6875000000000002	-3.2		3.1812500000000004	2.2
	-1.0687499999999996	-0.5		3.3625	1.1
	-1.4249999999999996	-0.5		3.7374999999999994	2.5
	-1.6562500000000002	-1.2		4.2375	2.4
	-1.4062499999999998	-2.6		3.4812499999999993	3.1
	-0.80625	-1.7		3.4125	2.2
	-1.23125	-2.3		3.9187500000000006	3.4
	-0.5499999999999998	-2.9		3.8874999999999997	1.9
	-1.2062499999999998	-2.4		3.6374999999999997	4.7
	-1.6625	1.3		3.15	3.9
	-1.25625	-1.6		3.7750000000000004	3.7
	-2.625	3.3		3.4062499999999996	6.1
	-2.8812500000000005	2.2		3.6374999999999997	6.6
	-3.0187499999999994	2.6		3.55625	4.9
	-2.61875	-0.5		3.125	7.8
	-2.6562500000000004	3.7		2.5625	9.1
	-3.16875	4.3		2.65	8.7
	-3.06875	4.4		3.34375	6.7
	-2.55625	-1.4		4.4750000000000005	3.8
Feb.	-1.7999999999999998	-2		4.96875	2.1
	-0.91875	-0.3		6.55	3.9
	-0.3062499999999998	0.3		6.1937500000000005	3.9
	0.23125	-1.5		6.3625	2.7
	-0.11875000000000002	-0.4		5.34375	2
	-0.7375000000000003	-5.5		6.1937500000000005	3.3
	0.2562500000000002	3.3		6.549999999999999	8.3
	0.24375000000000013	7.5		6.437500000000001	10.1
	0.43125000000000013	7.7		6.60625	10.6
	-0.5937499999999999	5.1		7.012500000000001	10.7
	-0.2500000000000001	3.7		7.125	12.4
	-0.55	3.8		6.525	15.4
	-0.60625	6.7		6.181250000000001	16.7
	-0.55	6.7		6.706250000000001	14.2
	-0.47500000000000003	3.7		7.20625	10.8
	-0.24999999999999992	2.1		7.30625	12.5
	-0.32500000000000007	2.8		8.06875	12.8
	-0.28750000000000003	3.6		8.46875	13.2
	-0.3125000000000001	3.6		7.40625	14.5
	-0.6124999999999999	3.5		7.1937500000000005	14.6
	-0.3750000000000001	3.9		7.55625	14.6
	-0.4562499999999998	4.2		8.35	13.9
	0.6375	4.2		9.16875	14.1
	0.7312500000000001	5.5		9.693749999999998	15.5
	0.8187499999999999	7.3		8.96875	13.5
	1.3375	4.8		8.600000000000001	11.9
	1.4812500000000002	2.4		8.95625	12.9
	1.2	4.3		8.59375	9.3
Mar.	0.9500000000000001	1.5		8.6375	6.8
	1.3625	0.7		9.918750000000001	8.4
	0.9687499999999999	1.1		9.90625	5.2
	1.95	-0.5		10.0125	12.7
	1.65	2.3		10.256250000000001	13.1
	1.3875000000000002	2.8		10.781249999999998	12.5
	1.9187499999999997	3.2		11.4875	10.6
	2.00625	3		10.606250000000001	13.5
	2.075	2.2		11.381250000000001	13.7
	1.9625	3.7		11.462499999999999	14.4
	1.5562500000000001	2.3		11.631250000000001	10.2
	2.1374999999999993	-0.9		10.537500000000001	6.1
	1.6750000000000003	-1.9		11.156250000000002	7.2
	2.30625	-1		12.875	8.7
	3.70625	-1.1		12.950000000000001	7.6
	3.1125	1.2		12.962499999999999	7
	3.4875	1.7		12.00625	7.1
	3.2187499999999996	1.5		11.493749999999999	10.2
	2.2312499999999997	-0.4		11.500000000000002	12.4
	2.625	4		12.61875	12
	2.91875	6.2		12.231250000000001	13.6
	2.9437499999999996	5.6		11.693750000000001	17.2
	2.7062500000000003	3.2		12.612499999999999	13.4
	3.6312499999999996	2.5		14.099999999999998	15.2
	3.5625	1.4		13.49375	15.4
	4.0125	3.1		14.624999999999998	15.4
	4.29375	5.9		14.412500000000001	11.9
	4.518750000000001	2.6		14.71875	15.6
	4.374999999999999	7		13.799999999999997	9.1
	4.737500000000001	7.3		13.656249999999998	14
	3.8062499999999995	7.1		14.16875	9.1
Apr.	4.3375	6.1		14.16875	15.3
	4.38125	9.8		14.43125	17.5
	4.1875	7.2		14.125	19.9
	4.2	10.5		14.01875	19.2
	4.281249999999999	5.5		14.8125	12.4
	4.56875	3.2		15.60625	11.5
	5.162500000000001	3		16.2375	11.6
	5.225	0.8		16.0875	14.9
	5.45	2.2		16.0125	18.1
	5.3625	2.1		15.975000000000001	17.7
	5.6499999999999995	3.5		15.381250000000001	18.5
	5.1375	3.5		14.325000000000001	15.1
	4.2625	2.7		14.65	17
	4.956250000000001	6.7		16.043750000000003	18.3
	6.312500000000001	3.6		17.625	15.9
	7.5375	1.5		17.05	16.2
	7.293749999999999	3.4		16.825	20.9
	6.925	6.1		16.4625	23
	6.83125	8.8		15.899999999999999	22.9
	6.2437499999999995	10		15.006249999999998	21.3
	5.5875	11.9		16.20625	21.3
	6.1812499999999995	9.8		16.525000000000002	19
	6.774999999999999	7.4		16.95625	11
	6.806250000000001	6.8		17.775000000000002	16.1
	7.85625	4.5		18.76875	19.7
	8.19375	6.8		18.974999999999998	22.1
	9.031250000000002	4.5		19.175	14.2
	8.6375	1.5		18.200000000000003	11.1
	7.156250000000001	1.1		16.675	10.7
	7.4	4		17.374999999999996	11
Mei	6.91875	2.8		16.68125	12.1
	7.0875	1.4		16.74375	12.6
	7.58125	2.2		16.893749999999997	15.9
	7.625	3.7		17.93125	16.4
	7.8687499999999995	4.7		19.2125	16.2
	9.337499999999999	8.7		19.275000000000002	17.2
	9.681249999999999	7.9		20.181250000000002	19.7
	10.125	9.5		20.387499999999996	23.7
	9.53125	11.9		19.63125	26.9
	9.212499999999999	14.6		18.7	28.9
	9.1375	12.9		18.5125	26.8
	9.0625	13.1		18.95	28.8
	9.262500000000001	12.4		18.799999999999997	26.4
	9.481250000000001	8.9		19.425000000000004	23.2
	9.56875	7.7		19.193749999999998	25.5
	9.449999999999998	14.1		20.14375	27
	10.268749999999999	12.9		20.574999999999996	22.2
	10.412500000000001	12.7		19.78125	22.8
	10.568750000000001	11.1		20.78125	24.1
	11.293749999999998	10.9		22.36875	18.2
	11.45625	11.1		22.21875	19.6
	11.93125	10.3		22.693749999999998	18.8
	11.218749999999998	7.6		21.487500000000004	21.3
	11.36875	9.4		21.51875	20.9
	11.63125	9.1		21.731250000000003	24.2
	11.762500000000001	10.5		22.506250000000005	19.7
	12.10625	8.8		22.3875	16.6
	12.3625	6.8		22.05625	16.9
	11.95625	8.3		21.918750000000003	16.1
	11.25	11.8		21.4375	22.9
	11.006249999999998	8.2		21.6875	17.3
Jun.	11.6375	6		22.025000000000006	18.7
	12.2	9		21.275000000000002	19
	11.9375	11.6		22.98125	25.4
	13.293750000000001	14.4		23.96875	28.7
	13.64375	16.8		23.99375	32.8
	12.724999999999998	17.1		23.018749999999997	30.8
	12.2625	17.9		22.731250000000003	32.3
	12.806249999999999	15.8		23.09375	31.5
	12.943750000000001	16.8		21.8875	30.7
	12.018749999999999	16.7		22.568749999999998	32.3
	12.53125	18.3		23.75	33.9
	13.224999999999998	19.5		24.243750000000002	35.1
	13.24375	21.5		23.775	36.8
	13.162499999999998	20.7		24.66875	35.9
	14.625000000000002	18.3		24.85	29.4
	13.725000000000001	17.7		24.481249999999996	27.3
	13.206249999999999	15.6		23.237500000000008	25.6
	13.125	12.2		24	27.1
	13.168750000000001	9.6		23.387500000000003	24.2
	13.218750000000002	10		24.45625	25.2
	13.693750000000001	14.3		25.068749999999994	23.1
	14.6125	12.6		25.181250000000002	26.8
	13.61875	14.7		23.950000000000003	30.4
	12.631250000000003	16.1		23.25	22.5
	13.3625	12.4		23.23125	26.9
	13.399999999999997	12.8		24.362499999999997	29.2
	14.049999999999999	14.3		24.15	29.1
	13.993750000000002	13.8		24.418750000000003	30.3
	13.625000000000002	14.9		22.95625	31.9
	13.243749999999999	16.1		23.137499999999996	30.8
Jul.	13.09375	14.3		23.50625	28.2
	12.837499999999999	13.6		23.762500000000003	30.8
	13.46875	16		24.325	25.3
	13.9	14.7		25.01875	25.4
	14.53125	11.9		26.806250000000002	22.7
	15.2375	8.4		26.456249999999997	22.5
	15.387500000000003	8.8		25.375000000000004	21.5
	15.156250000000002	10.2		25.2375	22.4
	14.6875	8.6		25.075000000000003	21.6
	14.599999999999998	8.2		25.03125	26.4
	14.431250000000002	11.5		25.006249999999994	30.6
	14.5375	14.7		24.94375	28.6
	15.2125	14.8		24.631250000000005	22.7
	15.35	11.9		24.7125	28.2
	14.850000000000001	14.2		23.575000000000003	35.4
	13.949999999999996	18.3		23.562500000000004	37.9
	14.031249999999998	16.5		24.20625	34.3
	15.0125	15.6		25.26875	24.6
	14.893750000000002	13.4		26.112500000000004	29
	15.475000000000001	16.3		24.706249999999997	35.9
	15.3375		18.1	24.85625		35.4
	14.768750000000002		19.1	24.55		32.6
	14.024999999999999		16.4	23.981250000000003		29.1
	14.05625		11.6	24.668750000000006		25.9
	14.450000000000001		11.3	25.15625		28.5
	14.900000000000002		14.1	25.299999999999997		34.1
	14.468750000000002		17.8	24.75		35.4
	13.9		14.3	24.312500000000004		24.4
	13.8		14.2	24.26875		24.7
	14.593750000000002		14.9	25.287500000000005		25.4
	15.100000000000001		14.8	25.768749999999997		25.5
Agu.	15.225000000000001		15.1	25.293749999999996		25.3
	14.4		14.4	24.337499999999995		24.6
	14.568750000000001		14.5	24.1875		23.8
	14.181249999999997		14.1	23.71875		24.1
	13.887500000000001		14	23.74375		24.4
	13.537500000000003		14.1	24.181250000000002		24.9
	13.83125		13.9	25.343750000000004		24.9
	14.25625		13.8	25.450000000000003		24.6
	13.981250000000001		13.6	24.325000000000006		24.7
	13.349999999999998		13.8	24.500000000000004		24.8
	13.737499999999999		13.7	24.012499999999996		23.9
	14.175		14	24.493750000000006		24.2
	13.775		13.8	22.856249999999996		23.6
	13.349999999999998		13.6	22.806250000000002		23.1
	13.212499999999997		13.4	23.7		23.2
	13.749999999999998		13.3	23.49375000000001		22.9
	13.262500000000001		12.8	22.087500000000006		21.8
	12.11875		12.2	20.9625		21.8
	11.8375		12	21.25625		21.5
	12.1		12.3	22.0875		22.1
	12.299999999999999			23.481249999999996
	12.9375			22.95
	12.799999999999999			23.04375
	12.487499999999997			21.3
	11.600000000000003			21.637500000000003
	12.14375			21.75
	11.931249999999999			21.81875
	11.99375			21.737499999999997
	11.843750000000002			21.668750000000003
	11.849999999999998			20.356250000000003
	11.45625			19.943749999999998
Sep.	11.48125			20.15
	10.60625			19.75625
	10.35			19.325
	10.025			18.9875
	9.956250000000002			19.09375
	9.450000000000001			19.125
	8.91875			19.3375
	8.524999999999999			18.268749999999997
	8.4875			18.7375
	9.15625			18.374999999999996
	9.287500000000001			17.475
	9.11875			17.912499999999998
	9.54375			17.412499999999998
	9.200000000000001			17.674999999999997
	8.425			17.731249999999996
	8.056249999999999			17.318750000000005
	7.8			17.218749999999996
	7.7375			16.86875
	8.368749999999999			17.318749999999998
	7.700000000000001			15.831250000000002
	7.731249999999998			15.281249999999996
	7.550000000000001			15.368750000000002
	8.393749999999999			15.381250000000003
	8.09375			15.23125
	7.306250000000001			15.825
	7.49375			15.8125
	6.9437500000000005			15.231250000000001
	6.19375			14.30625
	6.700000000000001			14.63125
	6.1			14.53125
Okt.	6.262499999999999			13.837499999999999
	6.875			13.649999999999999
	6.406249999999999			14.575000000000001
	6.10625			14.762500000000001
	6.4437500000000005			13.725000000000003
	7.331250000000001			14.074999999999998
	6.6375			13.937500000000002
	6.24375			13.193749999999998
	6.0375			13.424999999999997
	6.46875			12.906250000000002
	6.6375			13.38125
	6.831249999999998			13.875
	5.84375			12.106249999999998
	5.38125			11.3375
	4.825			12.2
	4.95625			11.7875
	4.8875			12.374999999999998
	5.187499999999999			12.11875
	5.09375			12.000000000000002
	5.362499999999999			11.656249999999998
	5.512500000000001			11.287499999999998
	4.793749999999999			10.281250000000002
	4.44375			10.706249999999999
	4.481249999999999			10.143749999999999
	4.775			9.737499999999999
	4.1187499999999995			9.74375
	3.3249999999999997			9.19375
	3.00625			8.65
	3.4187499999999997			8.962499999999999
	3.2812500000000004			9.443750000000001
	3.0249999999999995			8.693750000000001
Nov.	3.20625			8.7375
	1.9937500000000001			7.3875
	2.275			7.2749999999999995
	2.7875			7.250000000000001
	2.9937500000000004			7.393750000000001
	1.85			6.6625000000000005
	0.8250000000000001			5.75625
	0.2624999999999999			5.025000000000001
	0.48125000000000007			5.9875
	1.2874999999999999			6.4375
	0.75			5.475
	0.8374999999999999			5.59375
	0.5375000000000001			4.75625
	0.35			4.84375
	-0.4750000000000002			4.35625
	-0.44374999999999987			3.8000000000000003
	-0.65625			3.79375
	-1.2375000000000003			3.36875
	-1.7875000000000003			2.8375000000000004
	-1.2437500000000001			3.06875
	-0.7124999999999999			3.5
	-0.3			3.50625
	0.55			4.456250000000001
	0.062499999999999944			4.0249999999999995
	-0.15000000000000013			4.2
	-0.7500000000000002			3.825
	0.4125000000000001			3.9375
	-0.18749999999999997			3.8937499999999994
	-0.44374999999999987			3.7249999999999996
	-0.41875000000000007			3.525
Des.	-0.3062499999999999			4.00625
	-0.13125			4.41875
	0.5437499999999998			4.7125
	0.18749999999999997			4.543750000000001
	0.024999999999999883			5.125
	0.31875			5.25625
	0.6687499999999998			4.725
	1.6125			5.29375
	2.3499999999999996			6.45625
	2.35625			6.550000000000001
	1.5374999999999999			5.7625
	0.56875			4.86875
	5.551115123125783e-17			4.262500000000001
	-0.7562499999999999			3.8312500000000003
	-0.6062500000000001			3.68125
	-0.59375			4.300000000000001
	1.0933333333333335			4.886666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Ringkasan Tahunan 2026

38°C

Suhu Tertinggi

30 Jul. 26

-11°C

Suhu Terendah

7 Jan. 26

Rincian Musiman

Bulan TerpanasAgustus29.83°C

Bulan TerdinginJanuari-3.13°C

Bulan TerbasahJuni3.34mm

Bulan Paling BeranginJuli20.01km/h

Schweinfurt Wawasan Perubahan IklimLihat bagaimana pola iklim berkembang dari waktu ke waktu. Pergeseran suhu, tren curah hujan, dan kejadian ekstrem—semuanya dalam satu tempat.

Peringkat Kota Cuaca DuniaJelajahi kota terpanas dan terdingin di dunia secara real-time berdasarkan data suhu terkini.

Frequently Asked Questions

1. Apa bulan terpanas secara historis di Schweinfurt?

Agustus secara historis adalah bulan terpanas di Schweinfurt, dengan rata-rata suhu maksimum sekitar 25°C. Selama puncak peristiwa gelombang panas, suhu tertinggi yang tercatat mencapai 38°C pada 2026-07-30.

2. Apa bulan terdingin secara historis di Schweinfurt?

Januari adalah bulan terdingin di Schweinfurt, dengan rata-rata suhu minimum sekitar -1°C. Rekor suhu terendah sepanjang masa sebesar -16°C tercatat pada 2012-02-07.

3. Berapa rata-rata curah hujan tahunan di Schweinfurt selama 17 tahun terakhir?

Rata-rata curah hujan tahunan di Schweinfurt adalah sekitar 740.5mm, berdasarkan catatan yang mencakup 17 tahun.

4. Berapa hari hujan yang dialami Schweinfurt secara rata-rata per tahun?

Schweinfurt secara historis mencatat sekitar 204.5 hari hujan per tahun. Desember memiliki jumlah hari hujan terbanyak dengan rata-rata 19.6 hari.

5. Berapa suhu tertinggi yang pernah tercatat di Schweinfurt?

Suhu tertinggi yang pernah tercatat di Schweinfurt adalah 38°C pada 2026-07-30.

6. Berapa suhu terendah yang pernah tercatat di Schweinfurt?

Suhu terendah yang pernah tercatat di Schweinfurt adalah -16°C pada 2012-02-07.

7. Kapan secara historis waktu paling berangin dalam setahun di Schweinfurt?

Schweinfurt mengalami angin paling kencang selama Februari. Rekor hembusan angin bersejarah sebesar 48.1 kph tercatat pada 2015-03-31.

8. Berapa kelembapan tertinggi dan terendah di Schweinfurt selama setahun?

Biasanya, kelembapan di Schweinfurt mencapai puncaknya pada Desember sekitar 87.7% dan turun ke titik terendah pada Juli sekitar 70.5%.

Blog Terbaru tentang Cuaca

Lihat Semua Blog

Schweinfurt Rekaman Cuaca Bersejarah
Analisis hari terpanas, terdingin, paling berangin & paling basah

Schweinfurt Grafik Tren Cuaca

Ringkasan Tahunan 2026

Rincian Musiman

Frequently Asked Questions

Blog Terbaru tentang Cuaca

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

Schweinfurt Rekaman Cuaca BersejarahAnalisis hari terpanas, terdingin, paling berangin & paling basah

Schweinfurt Grafik Tren Cuaca

Ringkasan Tahunan 2026

Rincian Musiman

Frequently Asked Questions

Blog Terbaru tentang Cuaca

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

Schweinfurt Rekaman Cuaca Bersejarah
Analisis hari terpanas, terdingin, paling berangin & paling basah