Biesenthal 歴史的気象記録
最も暑い日、最も寒い日、最も風が強い日、最も雨が多い日を分析

Biesenthal 天気トレンドグラフ

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2	1.2		5.84375	3.4
	0.7062499999999999	-1.3		5.325	1.8
	0.24375000000000008	-3.2		4.2562500000000005	1.3
	-0.11249999999999993	-4.4		4.074999999999999	-0.6
	-0.7750000000000004	-6		2.775	-0.7
	-1.40625	-6		2.9375	-0.8
	-0.9187499999999998	-7.5		3.2874999999999996	-2.6
	-0.024999999999999988	-9.5		3.35	-3.6
	0.43750000000000006	-6.9		3.8875	-3.7
	-0.5062500000000002	-9.6		3.55625	-3.7
	-1.2375	-10.2		2.8625000000000003	-3.3
	-0.0812500000000001	-11.4		3.34375	-0.5
	0.3187499999999999	-0.4		3.9562500000000003	1.2
	0.08125000000000002	1.2		3.7937500000000006	4
1月	-0.24375	-0.2		3.86875	3.5
	-0.24375000000000008	1.6		3.2749999999999995	4.7
	-0.9624999999999999	-0.9		3.11875	3.2
	-2.025	-1.4		2.18125	2.2
	-1.8125	-1.4		2.0687499999999996	3
	-2.4312499999999995	-1.7		1.68125	4.2
	-2.6062499999999997	-1.3		1.1875	3.4
	-2.6375	-3.7		1.4874999999999998	-0.1
	-3.29375	-4.3		1.1187500000000004	-0.3
	-2.4812499999999997	-3		2.175	0.1
	-1.75625	-2.8		2.0375000000000005	0.3
	-2.6062499999999997	0.1		1.6687500000000002	1
	-2.0375000000000005	-0.5		3.4999999999999996	0.9
	-0.7749999999999999	-2.2		3.8	0.7
	-0.95	-1.5		3.7124999999999995	0.1
	-0.9812500000000002	-2		3.4937499999999995	1.1
	-1.5499999999999996	-5.4		2.9875000000000003	-1.6
	-1.14375	-8.3		3.4375	-4.3
	-1.2062499999999996	-8.9		3.225	-4.7
	-0.6625000000000001	-8.4		3.7187500000000004	-3.5
	-1.05	-6		3.90625	-1.4
	-1.16875	-3.1		3.1187500000000004	0.8
	-1.2187500000000002	0.7		3.1750000000000003	2.6
	-1.85	0		3.1625	1.6
	-2.2624999999999997	-0.9		2.8249999999999997	1.5
	-1.8250000000000002	-1.2		3.6374999999999997	2.3
	-1.55625	-1.4		3.6875	4.2
	-1.5187500000000007	2.6		3.4125	4.2
	-2.0625	4.1		3.46875	8.6
	-1.5999999999999999	-0.4		4.15625	5.1
	-1.56875	-2.7		4.475	1
2月	-1.3812499999999996	-4.3		5.4937499999999995	0.1
	-0.21250000000000013	-4.1		6.4	2.2
	-0.1312500000000001	-0.1		6.43125	1.6
	-0.03124999999999989	-4.8		6.281250000000001	0.4
	-0.006249999999999867	-5.7		5.35625	0.4
	-0.012499999999999956	-6.1		5.69375	0.1
	1.25625	0.3		6.456249999999999	5.7
	0.58125	4.2		6.89375	9.7
	0.30625	5.9		6.3625	9.1
	0.01250000000000008	5.1		6.84375	6.7
	0.41250000000000003	2.4		7.01875	9.5
	0.33125000000000004	3.6		6.3875	13.5
	-0.14375000000000004	7.6		7.112499999999999	16.3
	0.5375000000000001	7.7		6.324999999999999	16.5
	-0.15	5.4		6.6875	10.9
	0.06874999999999995	3.6		6.768749999999999	12.8
	0.12499999999999994	4.5		7.512500000000001	14
	0.5374999999999998	3.2		7.937499999999999	10.1
	0.6124999999999999	2.2		7.6125	12.2
	-0.15625000000000008	2.8		7.4312499999999995	14.1
	0.2687499999999999	4.8		7.237500000000001	14
	0.04999999999999993	7.1		7.76875	15.9
	0.48124999999999984	5.3		8.887500000000001	15.2
	0.625	7.2		8.6875	14.9
	1.3687500000000001	7.9		8.274999999999999	15.9
	1.7	7.9		8.174999999999999	12.1
	2.03125	6.9		9.325000000000001	14.7
	1.625	5.5		8.512500000000001	15.5
3月	1.7687499999999998	4.4		7.95625	6.3
	1.2937500000000002	3.4		8.375	7.9
	1.6875	0.6		9.4875	10.2
	1.7062499999999998	2.3		9.4875	12.7
	1.45625	5		9.86875	13.7
	2.0500000000000003	5.7		10.25	12.3
	2.775	5.5		10.868750000000002	11.8
	2.4312500000000004	3.6		10.3625	13.4
	2.8687500000000004	4.1		10.331249999999999	13.8
	1.4937500000000001	6.3		10.95	14.6
	1.96875	3.8		11.2125	11.4
	2.56875	1.7		10.3375	8
	1.7812499999999998	-1.1		10.475000000000001	9.5
	2.88125	1.5		11.974999999999998	11.1
	4.2	0.4		12.443750000000001	9.9
	3.4562499999999994	3		11.9875	7.7
	3.85625	1.7		11.725000000000001	4.2
	2.9625000000000004	0.9		10.862499999999999	11.9
	2.2437500000000004	2.7		11.681250000000002	12
	3.30625	3.6		12.3125	10.4
	3.66875	6		12.387500000000003	13.2
	3.7624999999999997	7.3		11.174999999999999	16.9
	3.2437499999999995	4.3		12.68125	12.1
	4.231249999999999	2.4		13.999999999999998	12.6
	4.9375	1.5		13.812499999999998	12.8
	4.4750000000000005	-0.3		14.09375	10.5
	4.4625	1.1		14.35	9.8
	5.09375	1.2		13.45625	12.5
	4.73125	4.2		13.812500000000002	8.9
	5.93125	6.5		14.043750000000001	13.2
	5.2875	7.3		13.0375	14.9
4月	5.04375	3.9		14.00625	16.2
	4.881249999999999	8.6		14.112499999999997	18.9
	5.04375	7.4		14.64375	18.3
	4.6375	8		14.9125	19.2
	4.74375	5.5		15.012500000000001	14.5
	5.106249999999999	2.8		15.79375	10.4
	5.693749999999999	1.1		15.825	13
	5.7250000000000005	2		15.6875	15.9
	6.29375	3.8		15.712500000000002	16.3
	5.8875	4.1		16.362499999999997	16.2
	6.531249999999999	4.5		16.325	15.2
	5.85	2.2		15.543750000000001	12.8
	5.7375	3.7		15.124999999999998	15.3
	6.268750000000001	2.8		16.987500000000004	13.5
	7.550000000000001	2		18.65	12.6
	7.71875	3.5		17.725	17.8
	7.41875	7		17.75	22.2
	7.4	10.2		16.11875	24.6
	6.900000000000001	13		16.481250000000003	26.5
	7.018750000000001	13		15.63125	20
	6.812500000000001	10.1		16.2125	16.9
	6.543749999999999	6.6		16.21875	10
	7.474999999999999	5.5		17.21875	11.4
	7.043749999999999	3.6		17.4	14.8
	8.56875	4.8		19.7	16.5
	9.518749999999999	7.1		20.249999999999996	18.7
	9.856250000000001	7.6		20.4375	18.7
	9.562500000000002	3.3		20.018750000000004	11.1
	8.418750000000001	4		17.456249999999997	13.5
	8.45625	6.3		17.1125	12
5月	7.55625	4.7		16.9875	15.7
	7.9375	4.7		17.68125	13.8
	8.812500000000002	5.1		18.21875	17.3
	8.69375	8.2		18.3875	18.1
	9.706249999999999	7.2		20.21875	18
	10.76875	10.6		20.831249999999997	19.8
	11.03125	9.8		21.543750000000003	20.4
	11.100000000000001	11.4		21.30625	21.2
	11.15625	13.9		21.062499999999996	27.1
	10.899999999999999	13.8		20.8	26.5
	10.424999999999999	11.7		18.8875	25.2
	10.1625	13.4		19.69375	27.7
	10.637500000000001	11.1		19.562500000000004	20.8
	10.156250000000002	7.9		19.900000000000002	20.9
	10.675000000000002	10		20.156250000000004	25.3
	10.93125	14.8		21.537499999999998	23.3
	11.081249999999999	11.6		21.86875	22.6
	11.624999999999998	11.4		20.887500000000006	21.6
	11.450000000000001	12.6		21.30625	24.9
	11.85	14.4		22.83125	20.5
	12.462499999999999	12.1		22.89375	23
	12.625000000000002	13.3		24.206250000000004	20.1
	13.55	11.2		24.143749999999997	23.5
	12.718749999999998	14.7		23.075	21.9
	12.987499999999999	11.6		23.712500000000006	24.3
	13.737499999999999	12.4		24.175	20
	13.918750000000001	10.6		24.018750000000004	19.9
	13.537499999999998	10.4		24.231250000000003	18.6
	12.8125	9		22.775	17.1
	12.843749999999998	11.4		22.11875	20.3
	12.637500000000001	10.1		22.33125	16
6月	12.812499999999998	11.3		23.0875	19.6
	12.562500000000002	7.8		21.887500000000003	20.8
	13.100000000000001	10.7		23.83125	23.7
	14.625000000000002	16.7		25.24375	27
	14.656250000000002	17.9		25.25625	32.2
	14.03125	19.7		23.049999999999997	31.5
	12.88125	18.5		22.78125	30.9
	13.85	14.4		23.787500000000005	26.4
	13.593749999999998	13.4		22.34375	27.5
	13.668749999999998	15.5		22.7	30.9
	14.356250000000001	20		23.612499999999997	33.2
	14.89375	16.6		25.01875	32.5
	13.9625	20.7		24.106249999999996	38.9
	14.481250000000001	22.2		25.4625	37.1
	15.512499999999998	18.8		25.718749999999996	28.9
	14.4875	16.9		24.025000000000002	27.8
	14.162499999999998	15.2		23.981250000000003	23.3
	14.431249999999999	14.5		23.874999999999996	27.7
	13.9875	14		24.581250000000008	22.7
	14.643750000000002	12		24.587500000000006	22.2
	15.60625	14.5		25.10625	22.8
	14.724999999999998	11.7		24.35625	17.6
	14.318749999999998	15.2		24.306250000000006	22.9
	14.00625	10.3		23.78125	23.1
	14.587499999999999	10.9		24.33125	24.2
	14.693749999999998	13.7		24.075000000000003	26.5
	15.006249999999998	13.4		25.581250000000008	25.8
	15.4375	16.2		24.0375	29.7
	15.09375	16		24.456250000000004	29.1
	14.624999999999998	15		23.3375	22.8
7月	14.75625	13		23.33125	26.4
	14.63125	16.2		24.1375	29.3
	14.93125	18.7		24.9875	29.1
	15.031250000000002	15.7		25.02499999999999	25.4
	15.19375	12.6		25.818750000000005	22.5
	16.26875	12		26.7625	18.7
	16.381249999999998	10.7		25.150000000000002	22.9
	16.1375	11.6		24.975000000000005	19.1
	15.65625	12.3		24.71875	21.3
	14.98125	11.6		25.699999999999992	23.9
	16.44375	14.2		25.60625	28
	15.63125	16.9		25.64375	25.5
	16.68125	15.2		25.699999999999996	23.1
	16.94375	11.5		25.59375	22.8
	16.3625	17.4		24.75625	29.4
	15.837499999999999	19.5		24.18125	36.8
	15.443750000000001	18.8		24.10625	30
	15.78125	14.9		25.73125	21.8
	16.00625	13.6		26.043750000000003	24.6
	16.9625	14.4		26.3375	29.9
	16.78125	20.3		25.481250000000003	31.7
	15.956250000000004	22.2		24.356249999999996	31.1
	15.1	20		25.3375	27.4
	15.70625		13.9	25.674999999999997		21.5
	16.493750000000002		12	26.218749999999996		24.7
	16.425		14.3	25.875		30.7
	15.80625		18.6	24.968749999999996		30.4
	15.381250000000001		14.7	24.837499999999995		23.7
	15.362499999999999		12.2	24.818749999999998		26.2
	15.49375		15.8	25.53125		30.5
	16.03125		18.4	26.24375		35.8
8月	16.35		16	25.85625		25.9
	15.974999999999998		16.1	25.35625		25.7
	15.706249999999997		15.8	25.5		25.6
	16.18125		16.2	25.437499999999996		24.7
	15.868750000000002		15.6	23.956250000000004		25.1
	14.89375		15.5	24.23125		25.2
	14.9125		15	25.293750000000003		24.6
	15.1625		14.7	24.76875		24.1
	14.84375		14.6	24.268749999999997		24.4
	14.700000000000003		14.6	24.487499999999997		24.5
	15.04375		15	24.325		24.8
	14.774999999999999		15	23.975		24.1
	14.9		15	23.61875		23.8
	14.25625		14.7	23.16875		24.2
	14.18125		14.5	23.625		23
	14.774999999999999		14.3	23.406250000000004		22.8
	14.65		14.2	23.49375		23.2
	13.062499999999998		12.9	21.9		22.6
	12.681249999999999		13.1	21.25		21.5
	13.287500000000001		13.9	22.425		22.9
	14.012500000000003		14	23.4875		23.3
	13.81875		13.6	23.343749999999996		22.5
	13.39375		13	22.737500000000004		22.4
	13.318750000000001			22.250000000000004
	12.68125			22.162499999999998
	13.5375			22.225
	13.631250000000001			22.6875
	13.7625			22.556250000000006
	13.481249999999998			22.58125
	12.799999999999999			20.606249999999996
	12.275			20.06875
9月	12.749999999999998			21.0625
	12.093749999999998			20.1
	11.5625			20.793750000000003
	11.774999999999999			19.7
	11.200000000000001			20.15625
	11.049999999999999			19.9125
	10.737500000000002			20.2125
	10.225			19.037499999999994
	10.025			18.606250000000003
	10.381250000000001			18.912500000000005
	10.98125			17.831250000000004
	10.575			18.925
	11.45625			18.6375
	10.275000000000002			17.893750000000004
	9.76875			17.687499999999996
	9.2875			17.743750000000002
	8.9125			17.000000000000004
	8.95625			16.93125
	9.424999999999997			17.2875
	9.474999999999998			16.8875
	9.487499999999999			16.275
	9.26875			16.243750000000002
	8.53125			15.51875
	8.193750000000001			14.549999999999999
	7.918749999999999			15.281250000000002
	8.3625			15.187500000000002
	8.4125			15.200000000000001
	8.0125			14.63125
	7.106250000000001			14.8
	7.700000000000001			14.368750000000002
10月	8.075			13.9375
	7.6499999999999995			13.462499999999999
	7.593749999999999			14.875000000000002
	6.88125			14.543749999999998
	7.0249999999999995			13.687499999999998
	7.862500000000001			14.1125
	7.81875			14.5875
	8.25625			14.05
	7.793749999999998			14.187500000000002
	7.7437499999999995			13.724999999999998
	7.575			13.28125
	7.70625			13.756250000000001
	6.85			13.068750000000001
	7.0125			12.468750000000002
	6.36875			12.712499999999999
	6.6875			12.643749999999999
	6.456249999999999			12.337499999999999
	6.5562499999999995			12.675
	6.868750000000001			12.524999999999999
	6.3500000000000005			12.106250000000001
	5.825000000000001			11.231250000000001
	6.574999999999999			11.462500000000002
	6.3125			11.231250000000001
	6.074999999999999			11.14375
	5.4125000000000005			10.66875
	5.649999999999999			10.050000000000002
	4.550000000000001			9.725000000000001
	4.043749999999999			8.73125
	4.581250000000001			9.95
	4.5875			9.399999999999999
	4.3687499999999995			8.50625
11月	4.15			8.93125
	3.3749999999999996			7.893749999999998
	2.9937500000000004			7.46875
	3.25			7.4
	3.55625			7.7124999999999995
	2.9125			6.9437500000000005
	1.3499999999999999			5.900000000000001
	1.38125			5.362499999999999
	1.7437500000000001			6.768750000000001
	1.7125			6.3125
	1.375			5.612500000000001
	1.675			5.63125
	1.375			5.3125
	1.3562500000000002			5.61875
	0.36875			4.6625
	-0.475			3.8375000000000004
	-0.8999999999999998			3.46875
	-0.8625			3.893749999999999
	-0.9124999999999999			3.4
	-0.3187500000000001			3.6499999999999995
	0.12499999999999994			3.825
	0.575			4.20625
	0.96875			4.71875
	1.2625			5.0125
	1.4125			4.89375
	0.53125			4.23125
	0.84375			4.5062500000000005
	0.40624999999999994			4.518749999999999
	-0.5937500000000002			3.59375
	-0.28125000000000006			3.2625
12月	-0.50625			3.9499999999999997
	0.29375000000000007			4.21875
	1.66875			5.1875
	1.0625			5.1375
	1.30625			5.30625
	1.3750000000000002			5.35625
	1.2375			4.95
	1.3437500000000002			5.1875
	2.249999999999999			5.756250000000001
	1.7125			6.031249999999999
	1.9249999999999998			5.868749999999999
	1.925			5.775
	1.4500000000000002			4.775000000000001
	0.6500000000000001			4.8687499999999995
	0.625			3.525
	-0.006250000000000117			4.5249999999999995
	1.88			6.013333333333334

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

年間サマリー 2026

39°C

最高気温

27 6月 26

-11°C

最低気温

12 1月 26

季節別内訳

最も暑い月8月27.75°C

最も寒い月1月-3.37°C

最も雨が多い月7月2.11mm

最も風が強い月7月22.42km/h

Biesenthal 気候変動インサイト気候パターンが時間とともにどのように変化しているかをご覧ください。気温の変化、降水量のトレンド、極端な気象イベント—すべてを一か所で。

世界の天気都市ランキング現在の気温データに基づいて、世界で最も暑い都市と寒い都市をリアルタイムで探索してください。

Frequently Asked Questions

1. Biesenthalで歴史的に最も暑い月はいつですか？

8月は歴史的にBiesenthalで最も暑い月であり、平均最高気温は約25°Cです。熱波のピーク時には、最高記録気温が2026-06-27に39°Cに達しました。

2. Biesenthalで歴史的に最も寒い月はいつですか？

1月はBiesenthalで最も寒い月であり、平均最低気温は約-1°Cです。史上最低記録の-19°Cは2010-01-27に記録されました。

3. 過去17年間のBiesenthalの平均年間降水量はどのくらいですか？

Biesenthalの平均年間降水量は約614.7mmで、17年間の記録に基づいています。

4. Biesenthalは平均して年間何日の雨天日を経験しますか？

Biesenthalは歴史的に年間約199.05日の雨天日を記録しています。7月は平均19日と雨天日が最も多いです。

5. Biesenthalで過去に記録された史上最高気温はいくらですか？

Biesenthalで記録された史上最高気温は2026-06-27の39°Cです。

6. Biesenthalで過去に記録された史上最低気温はいくらですか？

Biesenthalで記録された史上最低気温は2010-01-27の-19°Cです。

7. Biesenthalで歴史的に一年で最も風が強い時期はいつですか？

Biesenthalは1月に最も強い風を経験します。52.2 kphの歴史的な瞬間風速記録は2017-10-05に記録されました。

8. Biesenthalで一年間の最高湿度と最低湿度はいくらですか？

通常、Biesenthalの湿度は1月に約86.5%でピークに達し、8月に約64.6%まで下がります。

Biesenthal 歴史的気象記録
最も暑い日、最も寒い日、最も風が強い日、最も雨が多い日を分析

Biesenthal 天気トレンドグラフ

年間サマリー 2026

季節別内訳

Frequently Asked Questions

最新の天気に関するブログ

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

Biesenthal 歴史的気象記録最も暑い日、最も寒い日、最も風が強い日、最も雨が多い日を分析

Biesenthal 天気トレンドグラフ

年間サマリー 2026

季節別内訳

Frequently Asked Questions

最新の天気に関するブログ

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

Biesenthal 歴史的気象記録
最も暑い日、最も寒い日、最も風が強い日、最も雨が多い日を分析