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

Wolfsberg Grafik Tren Cuaca

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-3.8	-8.4		3.3812499999999996	-1.6
	-4.075	-7.5		2.3687500000000004	-0.1
	-4.61875	-7.7		1.0312499999999998	-1.7
	-5.168749999999999	-7.3		0.9875	-2.8
	-4.54375	-9.5		1.1125	-4.8
	-4.7875	-7.7		1.0625	-5.8
	-5.0874999999999995	-10.4		1.1062500000000002	-4.6
	-4.3875	-12.9		1.3375000000000001	-2.2
	-3.5875	-8.9		1.70625	-3.1
	-4.4624999999999995	-6.5		1.5750000000000002	0.7
	-5.4624999999999995	-11.4		1.3312499999999998	-4.6
	-5.73125	-12.7		1.0999999999999999	-2.4
	-5.425	-6		1.20625	1.9
	-5.425	-4		1.00625	3.6
Jan.	-6.243749999999999	-3.2		0.525	3.3
	-6.0874999999999995	-1		0.44999999999999996	4.2
	-5.781250000000001	-1.6		0.7625000000000001	-0.3
	-5.937500000000001	-7.1		0.9624999999999999	-1.9
	-7.093749999999999	-8.6		0.4062499999999999	-3.2
	-7.299999999999999	-11.5		0.4375000000000001	-2
	-6.4125	-10.8		0.6687500000000001	-0.4
	-5.8125	-10.9		0.91875	0.8
	-5.76875	-8.8		0.875	0.4
	-5.643750000000002	-5.9		0.71875	1.7
	-6.606249999999999	-0.5		0.5249999999999999	3
	-7.218749999999999	-4.9		0.3937499999999999	2.7
	-7.01875	-4.9		0.98125	1.7
	-5.968750000000002	-3.2		1.4999999999999998	2
	-6.75	-1.3		1.0125	1
	-5.74375	-5.4		1.5812499999999998	1.2
	-5.96875	-5.6		0.8937500000000002	-0.1
	-6.231249999999999	-5.3		1.125	-0.6
	-4.9750000000000005	-6		1.6749999999999998	-0.9
	-5.2437499999999995	-6.4		1.75	2.3
	-5.756250000000002	-2.1		1.88125	0.5
	-5.36875	-0.2		2.1937499999999996	1.7
	-5.28125	-2.4		1.66875	3.5
	-5.906249999999999	-2.5		1.3062499999999997	3.8
	-6.0874999999999995	0.7		1.25625	1.9
	-6.4125000000000005	0		1.5187499999999998	1.7
	-5.6	-2.7		1.4687499999999998	2.8
	-6.13125	-1.9		1.1687499999999997	3.9
	-5.65625	-0.8		0.2937499999999999	4.2
	-6.19375	-1		0.7625	6.6
	-6.6000000000000005	0.3		2.2874999999999996	5.8
Feb.	-5.843749999999999	-4.5		2.8625	2.2
	-4.487500000000001	-3.5		4.05	2.8
	-3.25	-4.8		3.8937500000000007	4.4
	-3.59375	-4.6		3.7187500000000004	3.6
	-3.9187499999999997	-2.3		3.662500000000001	3.5
	-4.250000000000001	-5.6		3.4874999999999994	1.1
	-4.050000000000001	-9.5		3.8124999999999996	2.1
	-3.85625	-2.4		3.7312500000000006	7.8
	-3.325	-0.2		4.512499999999999	9.7
	-3.1999999999999997	-1		4.65	6.4
	-3.8	-1.5		4.55	8.9
	-4.2437499999999995	-1		3.09375	9.7
	-3.94375	0.3		2.94375	11.5
	-4.3187500000000005	1.5		3.50625	10.8
	-3.5437499999999997	2.4		3.8187500000000005	9.4
	-3.0500000000000003	3.8		4.443750000000001	7.1
	-3.1750000000000007	3.1		5.875	8.6
	-2.0625	1.6		5.05625	9.5
	-3.0875	0.3		4.475	10.3
	-3.2062499999999994	0.4		3.8062499999999995	10.3
	-2.4312500000000004	0.4		4.625	10.9
	-2.837500000000001	0.8		4.70625	9.4
	-2.3187499999999996	1.2		5.975	8.7
	-2.2249999999999996	0.3		5.23125	10.9
	-2.3875	0.5		5.9125000000000005	11.6
	-2.1375	1.1		6.681249999999999	11.3
	-0.9749999999999999	2.6		7.2250000000000005	8.8
	-1.35	1.7		6.456250000000001	9
Mar.	-1.6124999999999998	1.1		6.6000000000000005	7.8
	-1.4187500000000002	2		6.862499999999999	5.7
	-1.175	-2		7.5062500000000005	3.9
	-1.7062499999999998	-3.5		7.19375	1.5
	-1.4625	-4.4		7.1375	6.5
	-1.81875	-3.5		7.606250000000001	8.2
	-1.4500000000000002	-0.8		9.024999999999999	4.5
	-0.75	-1.3		8.5625	5.8
	-0.26250000000000007	0		9.431249999999997	8.5
	-0.825	-0.9		9.593750000000002	10.1
	-0.6124999999999999	0.4		7.7875000000000005	12.1
	-0.9999999999999998	-1.2		7.69375	2
	-1.0562500000000001	-2.4		7.375	2.3
	-0.7812499999999999	-3.1		8.924999999999999	8.5
	0.275	-2.7		10.63125	6.6
	1.0999999999999999	-3.2		11.325	9.3
	1.15	-4.5		10.174999999999999	4.2
	1.18125	-3.2		9.8375	7
	0.5687499999999999	-3.5		9.612499999999999	7.9
	-0.006249999999999978	-0.3		9.9375	11.5
	0.031250000000000056	-0.4		10.075000000000001	13
	0.9000000000000002	2.1		10.006250000000001	18.5
	0.15624999999999994	6.2		9.95	17.8
	0.16874999999999984	5.5		11.056250000000002	16.9
	1.2249999999999999	1		11.700000000000003	12.9
	0.79375	-1.7		10.937500000000002	12.4
	0.5687499999999999	-1.3		11.575000000000003	10.3
	1.4374999999999998	1.3		11.424999999999999	10.7
	1.7375000000000003	2.4		12.10625	15.4
	1.7312499999999997	5.8		11.281249999999998	13.7
	1.9937499999999997	6.6		11.64375	8.8
Apr.	2.2875	5.9		11.2625	10.6
	1.75	4.1		11.88125	13.3
	1.3875	3.8		11.7125	15.4
	1.1374999999999997	4.1		10.7	16.5
	1.4812500000000002	4.8		11.343750000000002	17.1
	1.8812499999999996	3.5		11.96875	10.6
	2.0687499999999996	0.3		13.1	9.9
	2.6750000000000003	-2		12.999999999999998	10.7
	3.075	-1.6		12.456250000000002	14.6
	3.7125	0.9		12.618749999999997	18.6
	3.45	3.1		13.01875	20.2
	3.6375	5.3		11.831249999999997	20
	3.2937499999999997	6.1		11.65625	15.7
	2.806250000000001	4.7		13.1375	13.3
	3.3312500000000003	2.4		14.2125	7.5
	3.70625	-2		14.60625	10.9
	4.35	-1.5		15.262500000000003	14.8
	5.3375	2.6		14.618750000000002	19
	5.3687499999999995	5.1		14.131249999999998	20.5
	4.6000000000000005	5.3		13.64375	21.1
	4.581250000000001	5.7		13.668749999999998	18
	4.625	4.7		13.931249999999999	16.4
	4.9375	3.7		14.174999999999999	18
	4.71875	3		14.018749999999999	15.6
	4.38125	6		14.281250000000002	15.8
	5.162499999999999	4.7		15.956250000000002	17.8
	5.406249999999999	6.8		16.14375	17
	6.275	-2		15.212499999999999	6.8
	5.9750000000000005	-3.5		14.281249999999998	13.6
	5.40625	0.4		13.512499999999998	9.1
Mei	5.1125	3.1		12.325	7
	4.643749999999999	2.4		12.93125	10.7
	5.187500000000001	1.2		12.318749999999998	14.7
	4.95	2.4		14.537500000000001	14.8
	5.075	4.2		16.393750000000004	13.5
	5.8062499999999995	5.1		16.400000000000002	16.2
	6.7	6.1		16.437500000000004	17.5
	7.0375000000000005	5.8		16.062500000000004	20.9
	7.1875	7.7		15.956250000000002	21.3
	7.3375	9.5		16.675	24.8
	6.75	11.5		16.168750000000003	25.2
	6.931250000000001	11.9		17.39375	27
	7.3062499999999995	12.4		16.54375	25.7
	6.487499999999999	9.2		16.1625	21.8
	6.7437499999999995	6.5		15.88125	21.8
	6.3999999999999995	9.5		16.09375	24.2
	6.981249999999999	9.8		16.45625	22.9
	7.4375	8.9		17.31875	18.6
	8.1375	7.1		17.568749999999998	21.6
	8.243749999999999	7		18.0375	14.2
	8.93125	5.5		19.53125	21.1
	9.65	8.2		18.59375	12.7
	9.374999999999998	8		18.968750000000004	17.2
	9.375	8		19.44375	21.4
	9.80625	10.7		19.818749999999998	21.7
	10.225	11.2		19.56875	22.8
	10.28125	5.7		20.0125	11
	10.812499999999998	4		20.206249999999994	13.4
	9.862499999999999	4.1		20.95625	15.1
	10.081250000000002	9		19.518749999999994	22.8
	9.606250000000001	9.1		19.01875	20.7
Jun.	9.50625	8.2		20.124999999999996	16.5
	10.18125	7.1		18.650000000000002	21.2
	10.118749999999999	9.2		19.643749999999997	22.6
	10.225000000000003	11.5		21.7125	23.9
	10.712499999999999	13.1		21.39375	25.9
	10.6875	14.1		21.887500000000003	27.5
	11.2625	12.8		21.44375	27.2
	11.3375	13.4		22.525	27.9
	11.543750000000001	13		21.1	26.2
	10.9875	13.1		19.60625	26.8
	10.2	13.8		20.243749999999995	26.9
	10.393749999999999	16.2		20.881249999999998	28.1
	10.975	16.2		21.4	29.8
	11.156249999999998	15.2		21.243750000000002	30.6
	11.031249999999998	15.6		22.95	30.2
	11.65	15.1		22.6625	29.5
	11.125	12.4		21.95625	29.6
	11.237499999999999	9.6		21.60625	22.8
	11.45	10.6		22.59375	23.2
	11.75	8		21.150000000000002	23.4
	11.756249999999998	10		22.324999999999996	22.2
	12.025000000000002	13.3		23.412499999999998	21.9
	12.1875	11.4		22.962499999999995	25.7
	11.087499999999999	12.6		21.256250000000005	21.5
	11.15	11.9		21.7625	20.2
	11.5	10.3		22.087500000000002	25.1
	11.881250000000001	11.6		21.875	24.5
	11.35625	10.8		22.031249999999996	23.8
	12.112499999999999	10.8		22.0875	27.1
	11.46875	13.6		21.325	25.7
Jul.	11.0125	13		21.33125	26.6
	11.231249999999998	13.9		20.78125	25.4
	11.6	14.7		22.0125	25.6
	11.46875	12.4		21.75625	23.9
	11.66875	10.9		23.075	20.9
	12.73125	10.3		23.712499999999995	20.3
	12.95625	8.8		22.900000000000002	17.2
	12.250000000000002	6.5		22.575	19.5
	12.89375	8.1		22.3625	20.3
	11.912499999999998	5.4		21.81875	20.6
	12.287499999999998	7.7		21.762500000000003	24.2
	11.74375	11.1		20.556250000000002	23.1
	11.4625	10.9		21.543750000000003	24.5
	12.1625	13.2		21.94375	23.9
	12.456249999999999	13.5		22.58125	28
	12.268749999999997	14.9		21.15625	28.9
	11.893749999999999	14.8		22.1875	30
	12.55625	13.7		23.16875	29.1
	12.59375	14.2		22.0875	27.8
	12.337499999999999	15.8		22.787499999999994	29.5
	12.612499999999999	16.2		22.375	30.9
	12.343749999999998	16.7		22.03125	30.3
	12.39375	16.3		21.48125	29.4
	12.25625		14.6	22.43125		24.6
	12.068749999999998		13.7	23.106249999999996		22.5
	12.59375		11.7	23.218749999999996		27
	12.68125		14.9	22.900000000000002		29.4
	11.787500000000001		15.2	22.08125		29
	11.899999999999999		14.3	22.206249999999994		26.4
	11.8875		15	22.23125		28.1
	12.15625		16.4	22.1		30.6
Agu.	12.4125		12.5	22.89375		22.7
	11.931249999999999		11.9	22.043749999999996		22.2
	11.568749999999996		11.7	22.05		22.1
	12.181249999999997		12.1	22.799999999999994		22.6
	12.356250000000001		12.3	21.76875		22
	11.968749999999998		12.1	21.1125		22
	11.850000000000001		12.1	21.918750000000003		21.7
	11.8375		11.9	22.075000000000003		22.3
	11.975		11.8	21.200000000000003		20.9
	11.793750000000001		11.8	21.66875		21.5
	11.7625		11.5	20.393749999999997		20.3
	11.400000000000002		11.1	21.66875		21.6
	11.031249999999998		11.2	22.2625		22.5
	10.7		11	20.575		21.2
	10.49375		10.8	20.956249999999997		20.6
	10.850000000000001		10.5	19.812499999999996		19.4
	10.51875		10.1	20.43125		19.7
	10.11875		9.8	18.56875		18.9
	9.468749999999998		9.6	18.006249999999998		18.6
	9.412499999999998		9.7	19.06875		19.4
	9.950000000000001		10.2	19.775000000000006		19.8
	9.9875		9.8	20		19.5
	9.649999999999999		9.4	18.968749999999996		17.7
	9.212499999999999			17.66875
	9.6375			18.531249999999996
	9.13125			18.90625
	9.30625			18.5875
	9.175000000000002			18.662499999999998
	8.875			18.98125
	8.3375			18.75625
	8.8625			17.64375
Sep.	8.7125			17.8625
	9.137500000000001			17.15625
	8.48125			16.475
	7.831249999999999			15.85625
	7.3999999999999995			15.274999999999997
	6.718749999999999			15.437499999999998
	6.5062500000000005			16.575
	6.34375			15.962499999999997
	6.15625			15.899999999999999
	6.687500000000001			15.3375
	7.18125			14.525
	6.487500000000001			14.912499999999998
	6.375			14.90625
	6.575000000000002			15.1
	5.79375			13.706249999999999
	5.5625			13.675
	5.25625			14.1125
	5.206250000000001			14.693750000000001
	5.30625			13.749999999999998
	5.074999999999999			13.706249999999997
	5.1375			13.8625
	4.831249999999999			12.51875
	4.562499999999999			12.081249999999999
	4.6187499999999995			12.8875
	4.68125			12.5375
	4.5687500000000005			12.625000000000002
	4.5562499999999995			13.475
	3.6624999999999996			13.012500000000003
	4.125			12.718750000000002
	3.7312499999999997			12.331249999999999
Okt.	3.3249999999999993			12.2625
	3.9687499999999996			11.899999999999999
	3.4499999999999997			11.54375
	3.0500000000000003			12.53125
	3.90625			12.06875
	4.2375			12.399999999999999
	4.2			12.099999999999998
	3.20625			11.337500000000002
	3.19375			11.88125
	3.74375			11.524999999999999
	3.5875			11.5625
	3.7062500000000003			12.3625
	3.95625			11.075
	3.1937499999999996			11.049999999999999
	2.9812499999999997			10.81875
	2.75625			9.8
	2.225			10.312499999999998
	2.1999999999999997			10.893749999999999
	2.5874999999999995			10.393749999999999
	3.325			10.66875
	3.2499999999999996			9.95625
	2.9062499999999996			9.56875
	2.1062499999999997			8.774999999999999
	2.3687499999999995			9.187500000000002
	1.4312500000000001			8.53125
	1.1062500000000004			8.718749999999998
	1.21875			8.4375
	0.7812500000000002			8.087500000000002
	1.4			8.649999999999999
	0.8999999999999999			7.55
	0.7249999999999999			7.050000000000001
Nov.	0.6687500000000002			6.725
	0.30625			6.5375000000000005
	-0.25			5.9624999999999995
	-0.24375000000000002			6.106249999999999
	-1.0687499999999999			6.174999999999999
	-0.44999999999999996			5.7
	-1.3875			4.74375
	-1.7			3.9687499999999996
	-2.375			4.1812499999999995
	-1.9812500000000002			4.83125
	-2.6687500000000006			3.7562500000000005
	-2.9875000000000003			3.0874999999999995
	-2.96875			3.175
	-2.4875			3.575
	-2.9749999999999996			2.6250000000000004
	-4.5874999999999995			1.91875
	-3.625			1.7874999999999999
	-3.2312499999999997			2.3125
	-4.3999999999999995			1.05625
	-5.175000000000001			1.4500000000000002
	-4.125			1.8625
	-4.081250000000001			2.35625
	-3.9312500000000004			2.75
	-4.306250000000001			1.85
	-4.237499999999999			1.99375
	-4.7875000000000005			1.55625
	-4.531250000000001			2.1687499999999997
	-4.456249999999999			2.3187499999999996
	-5.112500000000001			1.1
	-5.5687500000000005			1.24375
Des.	-4.624999999999999			2.075
	-4.10625			1.9874999999999998
	-4.68125			2.6125000000000003
	-4.3			3.21875
	-4.65			3.2499999999999996
	-3.58125			2.6437500000000003
	-4.6000000000000005			2.1125000000000003
	-3.05625			2.3312500000000003
	-2.35			2.9625000000000004
	-2.38125			3.4187499999999997
	-2.7750000000000004			3.5187500000000003
	-2.7437500000000004			3.1125000000000003
	-3.4499999999999997			3.08125
	-4.04375			2.31875
	-4.46875			1.5187499999999998
	-4.91875			1.5
	-4.180000000000001			2.46

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Ringkasan Tahunan 2026

31°C

Suhu Tertinggi

4 Agu. 26

-13°C

Suhu Terendah

8 Jan. 26

Rincian Musiman

Bulan TerpanasAgustus29.5°C

Bulan TerdinginJanuari-6.97°C

Bulan TerbasahJuni6.53mm

Bulan Paling BeranginMei10.18km/h

Wolfsberg 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 Wolfsberg?

Agustus secara historis adalah bulan terpanas di Wolfsberg, dengan rata-rata suhu maksimum sekitar 22°C. Selama puncak peristiwa gelombang panas, suhu tertinggi yang tercatat mencapai 32°C pada 2013-08-03.

2. Apa bulan terdingin secara historis di Wolfsberg?

Januari adalah bulan terdingin di Wolfsberg, dengan rata-rata suhu minimum sekitar -6°C. Rekor suhu terendah sepanjang masa sebesar -21°C tercatat pada 2018-02-26.

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

Rata-rata curah hujan tahunan di Wolfsberg adalah sekitar 1131.8mm, berdasarkan catatan yang mencakup 17 tahun.

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

Wolfsberg secara historis mencatat sekitar 216.3 hari hujan per tahun. Juli memiliki jumlah hari hujan terbanyak dengan rata-rata 25.2 hari.

5. Berapa suhu tertinggi yang pernah tercatat di Wolfsberg?

Suhu tertinggi yang pernah tercatat di Wolfsberg adalah 32°C pada 2013-08-03.

6. Berapa suhu terendah yang pernah tercatat di Wolfsberg?

Suhu terendah yang pernah tercatat di Wolfsberg adalah -21°C pada 2018-02-26.

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

Wolfsberg mengalami angin paling kencang selama April. Rekor hembusan angin bersejarah sebesar 29.1 kph tercatat pada 2020-02-05.

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

Biasanya, kelembapan di Wolfsberg mencapai puncaknya pada Februari sekitar 87.03% dan turun ke titik terendah pada Agustus sekitar 77.3%.

Blog Terbaru tentang Cuaca

Lihat Semua Blog

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

Wolfsberg 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

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

Wolfsberg 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

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