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

Winsen Grafik Tren Cuaca

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.8812499999999996	2.1		6.30625	5.3
	1.44375	-1.8		5.33125	3.6
	1.3375	-2.9		4.706250000000001	-0.1
	0.6374999999999998	-6.1		4.456249999999999	-0.4
	0.35625000000000007	-4.2		3.7125	-1.1
	-0.2687499999999999	-5.3		3.3374999999999995	-0.8
	0.06250000000000006	-3.4		3.84375	-0.3
	1.23125	-5.1		4.26875	-0.7
	0.6749999999999998	-3.5		4.19375	-1
	0.36874999999999986	-9.8		3.9875000000000003	-3.3
	0.5125	-13.7		3.89375	-4.1
	1.0875000000000001	-8.2		3.9812500000000006	1.7
	0.7687499999999998	1		4.3375	2.8
	0.73125	1		3.65625	4.2
Jan.	0.30000000000000016	0.5		3.9999999999999996	5.1
	0.26250000000000007	3.5		3.4687500000000004	7.6
	-0.5312500000000001	1.5		2.83125	4.2
	-1.3375	0		2.6624999999999996	4.4
	-1.3749999999999998	-1.1		2.41875	3.8
	-1.45625	-2.1		1.79375	3.2
	-1.9000000000000004	-3		1.6375	3.6
	-1.3124999999999998	-3.2		1.9000000000000001	1
	-1.3124999999999998	-3.4		2.375	0.1
	-0.9499999999999996	-3.7		2.6125000000000003	0
	-1.36875	-3.3		2.375	0.7
	-1.6749999999999992	-0.7		2.4	0.6
	-0.7875	-1.8		4.39375	0.9
	-0.08125000000000004	-2.8		4.3	0.8
	0.10000000000000003	-0.6		4.1375	0.6
	-0.1812500000000001	-2.9		3.6	0.3
	-1.0625	-4		2.86875	-0.1
	-0.7874999999999996	-7.2		3.55	-3.5
	-0.5374999999999999	-7.4		3.8125	-4.3
	0.06250000000000008	-8.1		3.81875	-2.8
	-0.40625000000000017	-5.4		3.78125	-2
	-0.14375000000000018	-5		3.4625	-1.6
	-0.5187499999999998	-1.5		3.6187499999999995	3.3
	-1.36875	0.2		3.4374999999999996	1.7
	-1.4249999999999996	-0.1		3.0687500000000005	1.4
	-0.35624999999999996	-0.9		3.49375	1.7
	-1.0750000000000002	-1.7		3.65	3.3
	-0.7125000000000002	0.9		3.275	3.9
	-1.5125000000000002	0.8		2.8625000000000003	5.7
	-1.3125	-2.1		3.6	1.2
	-1.2249999999999996	-6.8		4.9125	0
Feb.	-0.2749999999999998	-7.2		5.5	-0.1
	0.95	-3		6.206250000000001	2.3
	0.5687499999999999	-1.3		5.93125	3.8
	0.76875	-6.5		6.08125	0.1
	0.7625000000000002	-6.7		5.0875	-0.2
	0.79375	-5.7		6.274999999999999	2.4
	2.00625	2.7		6.8374999999999995	6.1
	1.90625	4.6		7.174999999999999	9.3
	0.875	6		6.54375	8.1
	0.7687499999999999	3.8		6.90625	9.7
	0.8687499999999999	4.1		6.76875	10.9
	0.45625000000000004	6		6.75625	15.2
	0.31875	9.8		6.54375	16.8
	0.11249999999999998	9.1		6.112499999999999	14
	0.28125	3.2		6.968749999999999	10.7
	0.3875	5.7		6.262499999999999	13.7
	0.5437500000000002	4.8		7.5562499999999995	15.2
	0.525	0.7		7.68125	10.1
	0.8312499999999998	2.4		7.98125	14.1
	0.3625000000000001	3.8		7.449999999999998	15.4
	0.26249999999999996	5.5		7.312499999999999	15.5
	0.36250000000000004	6.1		7.8062499999999995	14.6
	0.825	4.6		8.075	16
	0.8187500000000001	5.6		8.2125	16.7
	1.1624999999999999	7.3		8.0625	13.4
	1.3625	4.2		7.9	11.9
	1.44375	6.2		8.6375	13.4
	1.7750000000000001	2.7		7.75	4.9
Mar.	1.5374999999999999	3		7.487499999999999	8.6
	1.56875	2.8		8.775	7.7
	1.9625	0.8		8.774999999999999	6.1
	1.5062499999999999	1.6		8.899999999999999	12.6
	1.9125000000000003	3.5		9.75625	14.1
	2.1937500000000005	2.8		10.11875	11.3
	2.50625	2.7		10.256249999999998	12.9
	2.7187500000000004	2.2		10.6375	13.6
	2.5937499999999996	3.1		10.012500000000001	13.4
	2.1374999999999997	6.5		11.287500000000001	14.4
	2.69375	3		10.775	11.1
	2.4312500000000004	1.3		9.843749999999998	7.2
	1.425	-0.9		10.475000000000001	9.6
	2.7499999999999996	2.4		11.231249999999998	6.4
	3.6749999999999994	0.5		11.331249999999999	8.9
	3.7562500000000005	3.2		11.543750000000003	7.8
	4.16875	2.1		11.54375	8.6
	2.41875	0.4		9.843750000000002	12.4
	2.2625	2.1		11.00625	12.2
	3.375	0		11.375000000000002	10.8
	3.3187500000000005	6.4		10.849999999999998	12.4
	2.89375	6.4		10.337499999999999	13.2
	3.2249999999999996	3.3		12.437499999999998	10.8
	4.050000000000001	2		13.7375	12.8
	4.4125000000000005	1		12.493749999999999	13.3
	4.2250000000000005	3.1		13.168750000000001	12.2
	4	3.2		13.112499999999999	12.5
	4.48125	1.4		12.156249999999996	13.4
	4.01875	6.6		12.568750000000003	14
	5.231250000000001	3.4		13.325000000000003	10.1
	4.075	5.6		12.31875	13.5
Apr.	4.356249999999999	3.7		13.362500000000002	17.1
	4.30625	8		13.537500000000001	17.7
	4.012499999999999	7		13.7125	17.7
	4.1187499999999995	9.9		13.781250000000002	17.7
	4.2250000000000005	4.7		14.200000000000001	11.7
	4.1499999999999995	2.5		15.11875	11.1
	4.8875	0.2		14.7875	12.2
	5.406249999999999	0.9		15.05625	15.9
	5.775	3.9		14.350000000000003	15.5
	5.05625	5.4		14.9375	14.1
	5.418750000000001	5.3		14.4875	13.2
	4.6187499999999995	1.2		13.237499999999999	14.4
	4.456250000000002	0.5		13.374999999999998	12.7
	4.70625	1.8		15.468750000000002	13.7
	6.1875	1.7		15.906250000000002	14.9
	6.0625	3.4		15.331249999999999	17.9
	5.8812500000000005	6.7		14.98125	21.6
	5.69375	9.2		14.431250000000002	25.1
	5.125	11.6		14.762500000000003	23.7
	5.8500000000000005	11.2		13.799999999999999	17.9
	5.2625	6.1		15.043750000000001	10.2
	5.59375	6.1		15.5625	9.7
	6.668749999999999	3.4		15.849999999999998	14.6
	6.70625	2.9		16.29375	15
	7.574999999999999	2.6		18.700000000000003	16.7
	8.6875	9.7		17.90625	17.5
	8.518750000000002	4.4		17.76875	10.8
	8.03125	4.4		16.46875	12.2
	7.325	6.4		15.725000000000001	13.1
	7.4750000000000005	3.5		16.05625	10.9
Mei	6.6375	1.6		16.4125	14.8
	7.381250000000001	5.3		16.19375	12.2
	8.26875	4.6		16.493750000000002	15.6
	8.187500000000002	6.1		17.29375	18.1
	9.168750000000001	7		17.931250000000002	16.8
	9.293750000000001	9.9		18.787499999999998	17.8
	9.787500000000003	8.5		19.174999999999997	19.8
	9.8875	10.1		19.75	22
	9.387500000000003	13.3		18.925	26.8
	9.018749999999999	12.4		18.587500000000002	22.2
	9.081249999999999	9.9		17.093750000000004	24.7
	9.006250000000001	12		17.93125	27.6
	9.218749999999998	8.6		17.812499999999996	19.9
	9.474999999999998	4.9		18.249999999999996	20
	8.8375	8.5		18.318749999999998	26.1
	10.212499999999999	10.6		19.412499999999998	21.9
	9.825	9.1		19.975	22.4
	10.3375	9.3		19.043750000000003	21.7
	9.700000000000001	12.2		20.10625	24.1
	10.575000000000001	13.2		20.856250000000003	18.6
	10.631250000000001	11.7		20.637499999999996	19.1
	11.28125	11.5		22.24375	17.5
	11.325000000000003	9.4		21.80625	20.4
	10.562500000000002	11.6		20.01875	18.1
	10.950000000000001	9.4		20.724999999999998	22.7
	11.187500000000002	9.5		21.15625	16.6
	11.4125	8		20.675	17.7
	11.399999999999999	7.6		20.825	18.1
	10.7125	8.5		19.531250000000004	17.1
	11.343750000000002	10.3		19.75625	17.3
	10.643749999999999	9.3		20.406249999999996	17.1
Jun.	11.275	11		20.49375	17.5
	11.375	6.6		20.45	19.9
	11.506250000000001	7.5		22.012500000000003	23.8
	12.606250000000001	14.6		22.193749999999998	26.5
	13.1375	17.8		21.6875	31
	12	19.2		20.7	30.9
	11.124999999999998	15.6		20.487500000000004	26.7
	11.987499999999999	13		21.875	24
	12.15625	10.9		20.568749999999998	26.6
	12.537500000000001	14.3		21.01875	31.4
	12.5875	17.5		21.712500000000002	29.8
	12.606250000000001	15.4		22.125	33.2
	12.431250000000002	20.3		22.006249999999998	34.7
	13.2875	19.9		23.650000000000002	31.4
	13.793750000000001	16.5		23.343749999999996	27.5
	12.775	11.9		22.043750000000003	25.6
	12.937500000000002	14		21.09375	24.2
	13.08125	11.3		21.993750000000002	23
	12.8	13.2		21.9125	19.5
	12.806249999999999	12		22.2375	18
	13.656249999999998	12.7		21.40625	21.1
	12.975	10		21.25	18.3
	12.956249999999997	13.5		21.812500000000007	20.9
	12.66875	9.6		22.125	21.4
	13.031250000000002	11.8		22.3125	24
	13.368749999999999	12.4		21.73125	26.4
	13.656250000000004	14.6		23.200000000000003	27.5
	13.55625	14		22.093750000000004	29.3
	13.437500000000002	13.1		21.3	28.5
	12.918750000000001	13.3		21.212500000000002	25.8
Jul.	13.006250000000001	12.7		21.168749999999996	27.3
	13.024999999999997	13		21.968750000000004	25.6
	13.13125	15.9		23.275000000000002	29.6
	13.475000000000001	13.4		23.075000000000006	21.3
	13.5625	13.3		23.987499999999997	19.1
	14.85	12.4		25.28125	19.5
	14.737499999999999	9.7		23.86875	23.7
	14.306249999999999	11.5		22.7375	18.9
	13.7625	12.1		22.450000000000003	22
	14.14375	10.8		24.24375	23
	15.456249999999997	12.5		24.343750000000007	27.2
	14.66875	14.3		24.331249999999997	19.3
	14.8625	12		23.6625	20.6
	14.768750000000004	10.6		23.312499999999996	24.4
	14.293749999999998	17.4		22.368750000000002	31.8
	14.23125	18.8		21.981250000000003	37
	14.037500000000003	15.4		21.881249999999998	25.3
	13.79375	12.6		23.018749999999997	22.4
	14.224999999999996	11.4		24.343749999999996	25.5
	15.024999999999999	13.6		23.8125	28.5
	14.881250000000001	17.1		23.818750000000005	29.4
	13.887500000000003	19		21.9625	29.3
	13.531249999999996	14.8		23.543750000000003	24.7
	14.281249999999998	12.3		23.74375	20
	14.462500000000002	10.4		22.69375	25
	13.962499999999999	13.9		23.2625	31.4
	13.83125	14		22.21875	21.9
	13.637500000000001	11.6		22.15625	21.9
	13.950000000000003	9		22.53125	24.4
	14.081249999999999	13.1		24.0625	29.7
	14.45625	16.1		24.43125	33.9
Agu.	15.112499999999999		17.5	23.993749999999995		31
	14.468750000000002		12.5	23.09375		22.7
	14.775		12.5	22.40625		18.8
	13.975		12	22.01875		19.7
	13.81875		13.3	21.5		19.4
	13.23125		12.1	22.549999999999997		19.3
	13.599999999999998		9.4	23.31875		20.9
	14.38125		10.4	22.675		19.8
	13.849999999999998		13.7	22.5875		23.2
	13.487499999999999		13.5	22.837500000000002		23.5
	13.293750000000001		13.7	22.162499999999998		22.5
	13.662500000000001		13.8	23.00625		23
	13.618749999999999		13.6	21.381249999999994		21.9
	12.8875		13.2	21.643750000000004		22.4
	13.387500000000001		13.4	22.237499999999997		21.8
	13.774999999999999		13.1	21.718750000000004		21.2
	12.556249999999999		12.2	21.200000000000003		21.4
	11.668750000000003		11.9	20.19375		20.9
	11.512500000000001		11.6	20.53125		20.9
	12.018749999999999		12.5	21.7625		21.6
	13.025		13	21.86875		21.9
	12.987499999999999		12.7	21.56875		21.4
	12.73125		12.3	21.587500000000002		21.6
	12.475		12.4	20.6875		20.9
	12.056249999999999		12.4	20.375000000000004		21.1
	12.743750000000002		12.5	20.812499999999996		20.8
	13.1125		12.9	20.756249999999998		20.6
	12.80625		12.1	20.60625		20.6
	12.200000000000001		11.9	19.693749999999998		20.2
	11.737499999999997		11.9	18.124999999999996		18.6
	11.175		11.3	18.731250000000003		19
Sep.	11.424999999999997			18.743750000000002
	10.95			18.65625
	10.912499999999998			18.612500000000004
	11.19375			18.46875
	10.337500000000002			18.550000000000004
	10.887500000000001			18.631249999999998
	10.349999999999998			18.6
	9.75625			18.306250000000002
	9.906249999999998			17.79375
	10.09375			17.725
	10.406249999999998			16.706249999999997
	10.34375			17.25
	10.875000000000002			17.674999999999997
	9.893749999999999			16.68125
	9.393749999999999			16.756249999999998
	9.068750000000003			16.68125
	8.9125			16.51875
	9.15			16.26875
	9.09375			16.325000000000003
	9.18125			15.375000000000002
	9.375000000000002			15.68125
	9.0875			15.218750000000002
	8.64375			14.743749999999999
	8.225			14.587500000000002
	8.09375			14.199999999999998
	7.85			14.731250000000001
	8.256250000000001			14.56875
	7.83125			13.524999999999999
	7.40625			14.812500000000004
	7.7437499999999995			13.95
Okt.	8.1			13.575000000000001
	7.749999999999999			13.0875
	7.76875			13.9625
	7.275			13.5875
	7.706250000000001			13.51875
	7.9875			13.112500000000002
	7.968749999999999			13.50625
	8.45			13.499999999999996
	7.95625			13.181250000000002
	8.218749999999998			13.012500000000001
	7.718749999999998			12.55
	7.712500000000001			13.043750000000001
	6.949999999999999			12.018749999999999
	6.86875			11.750000000000002
	6.643750000000001			11.825
	7.312500000000001			11.825
	7.187499999999999			12.2375
	7.331249999999999			12.506249999999998
	7.312500000000001			11.78125
	6.93125			11.4625
	5.84375			10.8875
	6.387500000000001			10.7125
	5.96875			10.1625
	5.756249999999999			9.9875
	5.675000000000002			9.6875
	5.4625			9.512500000000001
	5.106249999999999			8.95
	4.906249999999999			8.68125
	5.18125			9.24375
	4.16875			8.531249999999998
	4.4625			7.975000000000001
Nov.	4.40625			8.2875
	4.1625000000000005			8.25625
	3.7874999999999996			7.437499999999999
	3.5062499999999996			7.331250000000001
	3.9875			7.562499999999999
	2.825			6.2749999999999995
	1.5125000000000002			5.593749999999999
	2			5.112500000000001
	2.81875			6.9312499999999995
	2.65			6.025
	1.7375			5.724999999999999
	1.79375			5.725
	2.5625000000000004			5.843749999999999
	2.0625			5.30625
	0.96875			4.5875
	0.51875			3.9499999999999997
	0.23124999999999998			3.9125
	1.0125000000000002			4.237500000000001
	0.55625			4.38125
	0.525			4.074999999999999
	0.91875			3.70625
	1.4375			4.393750000000001
	2.00625			4.75
	1.5375			5.16875
	2.03125			4.95625
	1.3937499999999998			4.768749999999999
	1.7562499999999996			4.393750000000001
	0.7187500000000002			4.2250000000000005
	0.54375			4.125
	0.23750000000000004			3.63125
Des.	0.8125			4.475
	1.6374999999999997			5.2125
	2.4437499999999996			5.8625
	2.6			5.8374999999999995
	2.40625			5.9875
	2.6250000000000004			5.70625
	2.3937500000000003			5.4312499999999995
	2.05			5.41875
	2.85625			6.1375
	2.325			6.6125
	1.73125			5.8125
	2.1125000000000003			6.01875
	1.7687500000000003			5.15625
	1.68125			5.206250000000001
	1.2187499999999998			4.281250000000001
	1.28125			5.7875000000000005
	3.38			7

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Ringkasan Tahunan 2026

37°C

Suhu Tertinggi

30 Jul. 26

-14°C

Suhu Terendah

11 Jan. 26

Rincian Musiman

Bulan TerpanasAgustus26.29°C

Bulan TerdinginJanuari-2.81°C

Bulan TerbasahJuni3.04mm

Bulan Paling BeranginJuli20.96km/h

Winsen 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 Winsen?

Agustus secara historis adalah bulan terpanas di Winsen, dengan rata-rata suhu maksimum sekitar 23°C. Selama puncak peristiwa gelombang panas, suhu tertinggi yang tercatat mencapai 38°C pada 2022-07-20.

2. Apa bulan terdingin secara historis di Winsen?

Januari adalah bulan terdingin di Winsen, dengan rata-rata suhu minimum sekitar 0°C. Rekor suhu terendah sepanjang masa sebesar -16°C tercatat pada 2010-01-26.

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

Rata-rata curah hujan tahunan di Winsen adalah sekitar 761.4mm, berdasarkan catatan yang mencakup 17 tahun.

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

Winsen secara historis mencatat sekitar 217.1 hari hujan per tahun. Juli memiliki jumlah hari hujan terbanyak dengan rata-rata 21.4 hari.

5. Berapa suhu tertinggi yang pernah tercatat di Winsen?

Suhu tertinggi yang pernah tercatat di Winsen adalah 38°C pada 2022-07-20.

6. Berapa suhu terendah yang pernah tercatat di Winsen?

Suhu terendah yang pernah tercatat di Winsen adalah -16°C pada 2010-01-26.

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

Winsen mengalami angin paling kencang selama Januari. Rekor hembusan angin bersejarah sebesar 51.3 kph tercatat pada 2015-03-31.

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

Biasanya, kelembapan di Winsen mencapai puncaknya pada Desember sekitar 88.5% dan turun ke titik terendah pada Agustus sekitar 74.1%.

Blog Terbaru tentang Cuaca

Lihat Semua Blog

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

Winsen 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

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

Winsen 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

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