Frankfurt Oder 역사적 날씨 기록
가장 더웠던 날, 가장 추웠던 날, 가장 바람이 강했던 날, 가장 비가 많았던 날 분석

Frankfurt Oder 날씨 트렌드 그래프

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.075	0.9		5.58125	3
	0.525	-0.8		4.89375	1.6
	-0.24374999999999994	-3.6		3.9625000000000004	1.1
	-0.6687500000000002	-4		3.8812500000000005	-1
	-1.2187500000000002	-5.2		2.4375	-0.8
	-1.6437499999999992	-7.7		2.6125000000000003	-1.5
	-1.3562499999999997	-9.9		2.6000000000000005	-3.5
	-0.6937500000000001	-10.8		2.99375	-3.9
	-0.12500000000000008	-8		3.7937499999999997	-3.5
	-0.5625	-9.5		3.33125	-5
	-1.4312500000000004	-9.8		2.531249999999999	-3.1
	-0.4750000000000002	-11.4		2.9187499999999993	-1.9
	-0.07499999999999998	-1.7		3.625	0.8
	-0.11874999999999998	1.4		3.41875	4.4
1월	-0.6374999999999998	0.7		3.306250000000001	3.2
	-0.4312499999999999	0.2		2.91875	4.9
	-1.4562500000000003	-1.4		2.9187499999999997	2.4
	-2.3375000000000004	-2.5		1.96875	2
	-2.43125	-2.1		1.575	2.9
	-2.6125	-2.7		1.34375	3.3
	-3.0187499999999994	-2.5		0.7062500000000002	3.4
	-2.9687499999999996	-4.5		1.0499999999999998	0
	-3.8500000000000005	-4.7		0.3374999999999998	-0.5
	-3.2812499999999996	-2.6		1.3562500000000002	0.4
	-2.0187500000000003	-2.3		1.40625	0.7
	-2.693749999999999	1.1		1.38125	1.8
	-2.35625	-0.3		3.06875	0.7
	-1.1749999999999998	-2.6		3.4437499999999996	1.1
	-1.3124999999999998	-1.7		3.24375	0.2
	-1.5999999999999999	-1.9		3.45	1
	-1.4625	-6.5		2.5999999999999996	-2.2
	-1.29375	-8.9		3.1624999999999996	-4.4
	-1.3250000000000004	-9.6		3.05	-5
	-0.7124999999999999	-8.6		3.5937499999999996	-3.8
	-1.2312500000000002	-6.7		3.5374999999999996	-1.3
	-1.7	-2.4		2.675	1.7
	-1.5312499999999998	1		2.7249999999999996	2.7
	-2.35	-0.1		2.5749999999999997	2.6
	-2.6125000000000003	-1.1		2.41875	1.4
	-2.2125	-1.7		3.2687500000000003	2.5
	-1.7687499999999996	-1.8		3.5375	5.4
	-1.7562499999999996	2		2.675	5.3
	-2.3875	4.4		2.75625	9.5
	-1.6999999999999997	-0.6		3.5625000000000004	6.4
	-1.8312499999999998	-2.1		3.7499999999999996	0.4
2월	-1.5687499999999996	-4.5		5.074999999999999	0.1
	-0.3187500000000001	-4.5		5.91875	2.4
	-0.1250000000000001	-0.3		5.79375	1.9
	-0.08125000000000004	-5.1		5.7437499999999995	1
	-0.006249999999999867	-7		5	0.9
	-0.575	-7.1		5.512499999999999	-0.1
	0.69375	-1.8		6.0125	6
	0.012500000000000044	4		6.3187500000000005	9.7
	-0.26875	5.7		6.01875	8.4
	-0.006249999999999933	4.8		6.531250000000001	6.9
	0.04999999999999999	2.2		6.256249999999999	8.6
	-0.20624999999999985	1.7		5.6125	13
	-0.29999999999999993	6.8		6.600000000000001	15.9
	-0.19999999999999996	7		6.01875	16.7
	-0.40624999999999994	4.8		6.48125	9.8
	0.09375000000000001	2.6		6.725000000000001	12.3
	-0.06874999999999995	3.9		7.06875	13.8
	0.21874999999999994	3.2		7.7	9.7
	0.19374999999999995	1.4		6.9750000000000005	11.6
	-0.3874999999999999	1.9		6.956250000000001	13.4
	-0.0999999999999999	4.3		6.8125	14.6
	-0.19375000000000003	6.1		6.943749999999999	14.5
	0.20625000000000004	3.8		8.068749999999998	14.8
	0.40625000000000006	5.4		8.34375	15.2
	1.0937500000000002	6.6		8.043750000000001	16.2
	1.3499999999999999	6.8		7.85	12.2
	2.1374999999999997	5.7		8.912500000000001	15
	1.5749999999999997	7.7		8.3875	15.8
3월	1.66875	4.7		7.762499999999999	7.5
	1.3125	2.8		7.9125000000000005	8.1
	1.4437499999999999	0.1		9.2	9.6
	1.35625	1.6		9.15625	13
	1.2312499999999997	4.6		9.28125	12.8
	1.8624999999999998	5.7		9.91875	10.8
	2.4000000000000004	4.1		10.493749999999999	11.4
	2.54375	2.3		10.187499999999998	12.8
	3.05	3.3		10.175	13.4
	1.54375	5.6		10.6375	14.2
	1.7062499999999998	3.4		10.987499999999999	11.8
	2.1624999999999996	0.6		10.081249999999999	7.2
	1.4812500000000002	-1.8		10.25	9.1
	2.5187500000000003	-0.1		11.962500000000002	11.1
	4.1125	1.6		12.068749999999998	9.3
	3.0250000000000004	2.8		12.175	7
	3.4937500000000004	1.1		11.9125	6.3
	3.2437500000000004	0.7		10.9125	11.8
	2.3	2.4		11.55625	12.4
	2.725	4.4		12.35625	11.2
	3.6625	4.9		12.268749999999997	13.7
	3.6374999999999997	6.3		11.16875	18.4
	2.8625	4.7		12.275	12.4
	3.9374999999999996	2.4		13.549999999999999	12.3
	4.8	0.9		13.649999999999999	11.9
	4.24375	-0.9		13.5375	10.5
	4.2	-0.2		14.087499999999997	10.1
	4.949999999999999	0		13.3	12.9
	5.0249999999999995	4		13.73125	12.9
	5.6312500000000005	7.8		13.8	14.9
	5.025	8		13.293750000000001	13.2
4월	4.8687499999999995	3.3		13.6625	15.4
	4.83125	7.6		13.206250000000002	18.2
	4.80625	7.5		14.35625	17.6
	4.718750000000001	6.2		14.525	19.7
	4.5375	5.4		14.53125	18.8
	5.075	4.4		15.424999999999999	8
	5.206250000000001	0.6		15.387499999999996	13.4
	5.25625	1.1		15.368750000000002	15.9
	5.668749999999998	4.4		15.40625	16.2
	5.71875	4.8		16.10625	14.2
	6.181250000000001	4.5		15.962499999999999	15.7
	6.03125	2.6		15.3875	12.3
	5.374999999999999	3		15.193749999999998	15.7
	5.8875	3		16.86875	13.8
	7.33125	1.8		18.45	12.5
	7.7749999999999995	2.2		17.925	16.7
	7.35625	6.2		17.974999999999998	21.3
	7.3187500000000005	9		15.912499999999998	24.9
	7.09375	11.8		16.23125	26.8
	6.6812499999999995	13.4		15.36875	22.5
	6.487500000000001	10.6		16.000000000000004	16.7
	6.506250000000001	7		16.125	13.1
	7.0874999999999995	6		16.825	8.5
	6.656250000000002	5.9		17.156249999999996	13.2
	7.843750000000001	6.5		19.05625	16.1
	8.7375	6.2		19.50625	19.9
	9.3625	7.8		20.037499999999998	18.6
	9.53125	4.3		19.74375	10.4
	8.34375	3.6		17.287499999999998	11.8
	8.168750000000001	6.8		16.831249999999997	14.4
5월	7.3625	5		16.3625	15.1
	7.8500000000000005	5.5		17.118750000000002	15.8
	8.706249999999999	4.6		17.493750000000002	18
	8.43125	7.1		17.912499999999998	17.7
	9.40625	6.3		19.84375	19.3
	10.375000000000002	10.5		20.39375	19.7
	10.89375	10		21.05	19.7
	10.493749999999999	11		20.975	21.3
	10.724999999999998	13.2		21.087500000000002	26.3
	10.76875	13.8		20.61875	28.1
	10.3	11.1		18.756249999999998	24.9
	10	13.6		19.4375	28.1
	10.131250000000003	10.8		19.587499999999995	20.1
	9.94375	7.5		19.499999999999996	20.1
	10.381250000000001	8.8		19.743750000000002	24.6
	10.412499999999998	14.8		21.643750000000004	23.4
	11.28125	12.7		21.5625	23.1
	11.3625	12.4		20.8	21.1
	11.412500000000001	12.1		21.04375	25.3
	11.418750000000001	14.2		22.49375	18.9
	11.837499999999997	10.9		22.56875	22.9
	12.20625	12.9		23.831249999999997	19.3
	13.275	10.7		23.724999999999998	24.1
	12.625	14		22.593750000000004	22.8
	12.637499999999998	11.5		23.731250000000003	24.6
	13.637500000000001	11.8		24.23125	20.4
	13.918750000000001	10.3		23.862499999999997	19.2
	13.3625	10.8		24.043749999999996	18.2
	12.98125	8.4		22.625000000000004	17.6
	12.60625	12.1		21.70625	19.8
	12.29375	10.6		22.349999999999998	16.5
6월	12.462499999999999	11		23.075000000000003	18.4
	11.9125	8		21.931250000000002	21.2
	12.65	10.7		23.818749999999998	23.9
	14.087499999999999	16.2		24.89375	27.2
	14.331249999999999	17.7		25.0125	32.6
	14.193750000000001	19.1		23.14375	32.5
	13.09375	18.5		22.775	31.6
	13.5	14.3		23.6875	25.6
	13.5875	12.7		22.59375	26.1
	13.299999999999997	14.9		22.593749999999996	30
	13.575	18.9		23.181250000000002	33.2
	14.674999999999999	16.2		24.4125	32.5
	13.681249999999999	19.5		23.79375	38.5
	14.181250000000002	22.1		25.1375	39.6
	15.04375	19.2		25.55	30.4
	14.425000000000002	16.9		24.156249999999996	25.4
	13.956249999999999	16.3		24.05625	21.8
	14.137500000000001	13.9		23.762500000000003	27.5
	13.793750000000001	14.4		24.7125	22.9
	14.412499999999998	11.8		24.69375	22.8
	15.174999999999999	14.1		25.006249999999998	24.1
	14.69375	13		24.74375	18.3
	14.424999999999999	16.2		24.306250000000002	23.9
	14.04375	10.4		23.76875	23
	14.056250000000002	11.6		24.456249999999994	25.4
	14.706250000000002	13.2		23.5	26.2
	14.737499999999999	12.4		25.05625	25.7
	15.35625	14.7		24.162499999999994	28.9
	14.924999999999999	15		24.1375	28.6
	14.65625	16		23.45625	26.6
7월	14.556250000000002	13.7		23.35625	25.2
	14.762499999999998	15.8		24.437499999999996	29.9
	14.762500000000001	18.6		24.368750000000002	28.2
	14.825	17.1		24.631249999999998	25.2
	15.16875	13.1		25.637500000000003	22.4
	15.874999999999998	11.7		26.337500000000002	18.4
	15.94375	10.7		25.681250000000002	22.6
	15.61875	12.6		25.2125	18.4
	15.543750000000001	12.8		24.3125	21.2
	14.674999999999997	11.5		25.10625	24.2
	15.7	13.4		25.41875	28.4
	15.487500000000002	17.7		25.53125	28.8
	16.368750000000002	16		25.8875	23.8
	16.3125	11.6		25.63125	24.3
	16.43125	16		25.043749999999996	29.2
	15.518750000000002	18.8		24.15625	36.4
	15.43125	19.5		24.03125	31.7
	15.425	14.7		25.4625	22.5
	15.793750000000001	13		25.881249999999998	24.3
	16.6875	14.5		26.28125	30.2
	16.4	20.1		25.393749999999997	33.3
	16.025	22.2		24.468749999999996	33.3
	15.212500000000002		19.1	24.924999999999997		28.2
	15.450000000000001		14	25.581249999999997		22.8
	16.168750000000003		11.7	26.412499999999994		24
	16.18125		13.9	25.875000000000004		30.1
	15.581249999999999		18.5	24.900000000000002		34
	15.206249999999997		18.5	24.943749999999998		29.1
	14.96875		14.5	24.74375		28.8
	15.1125		17.9	25.475		34.2
	15.937499999999998		15.9	26.09375		25.4
8월	16.125000000000004		15.8	26.075		26.2
	15.81875		15.9	25.287500000000005		25.8
	15.4875		15.6	25.60625		25.6
	16.04375		16.1	25.66875		25.2
	15.6875		15.5	24.4375		25.3
	15.031249999999998		15.5	23.918750000000006		24.9
	14.868749999999999		15.1	24.974999999999998		24.4
	14.94375		14.5	24.575		23.9
	14.468750000000002		14.4	23.737499999999994		23.9
	14.618750000000002		14.4	24.449999999999996		24.4
	14.812500000000002		14.8	23.9875		24.2
	14.612499999999999		15	23.656250000000004		23.8
	14.51875		14.4	23.7125		23.9
	13.987499999999999		14.4	23.025000000000002		24
	13.737499999999997		14.3	23.34375		23
	14.75		14.2	23.6		22.9
	14.368750000000002		13.9	23.356250000000003		22.9
	12.85		12.7	21.568749999999998		22.2
	12.493750000000002		12.8	20.875		21.2
	12.9375		13.7	22.15625		22.6
	13.5375		13.6	23.237499999999997		23.1
	13.656250000000002		13.4	22.975		22.1
	13.03125			21.74375
	12.75625			21.618750000000002
	12.4625			21.975
	13.218750000000002			22.406250000000004
	13.412499999999996			22.543750000000003
	13.606250000000003			22.743750000000002
	13.431250000000002			22.724999999999994
	12.668750000000001			20.549999999999997
	12.41875			19.818749999999998
9월	12.46875			20.900000000000002
	12.225			19.687499999999996
	11.86875			20.968750000000004
	11.4625			19.45
	11.0125			19.60625
	10.74375			19.475
	10.368749999999999			20.10625
	9.793750000000001			18.26875
	9.924999999999999			18.2625
	9.887500000000001			18.51875
	10.6375			17.90625
	10.34375			18.58125
	11.018749999999999			18.499999999999996
	9.812499999999998			17.55625
	9.393749999999999			17.5
	9.025000000000002			17.21875
	8.35625			16.662499999999998
	8.618749999999999			16.875000000000004
	8.98125			16.812500000000004
	9.206249999999999			16.743750000000002
	9.000000000000002			16.23125
	8.65			15.818750000000001
	8.35625			15.218749999999998
	7.687499999999999			14.600000000000001
	7.45625			15.137500000000001
	8.1			15.081249999999999
	8.043750000000001			15.35
	7.6625000000000005			14.299999999999999
	7.1000000000000005			14.631250000000001
	7.19375			14.106250000000001
10월	7.925			13.887499999999998
	7.6375			13.368749999999999
	7.037500000000001			14.374999999999996
	6.412500000000001			14
	6.724999999999999			13.3
	7.268749999999999			13.762500000000001
	7.425			14.187500000000002
	7.749999999999999			13.812499999999998
	7.4437500000000005			13.975000000000001
	7.331249999999999			13.28125
	7.2124999999999995			13.268750000000002
	7.681249999999999			13.51875
	6.375			12.90625
	6.7625			12.28125
	6.125			12.44375
	6.175			12.437500000000002
	5.949999999999999			12.18125
	6.331249999999999			12.93125
	7.0062500000000005			12.14375
	6.118749999999999			11.65
	5.60625			11.087499999999999
	6.0875			11.43125
	5.793749999999999			11.25
	5.8125			11.19375
	5.29375			10.212499999999999
	5.05625			9.88125
	4.38125			9.649999999999999
	3.4875			8.51875
	4.175			9.59375
	4.425			9.04375
	4.0562499999999995			8.24375
11월	3.8124999999999996			8.675
	2.95625			7.95
	2.51875			7.156249999999999
	3.2062500000000003			7.125000000000001
	3.09375			7.2437499999999995
	2.8062500000000004			6.98125
	1.40625			5.55625
	1.0374999999999996			5.349999999999999
	1.6062500000000002			6.59375
	1.5124999999999997			5.968750000000001
	1.1687500000000002			5.5125
	1.40625			5.268749999999999
	0.9874999999999998			4.9375
	0.4624999999999999			5.1937500000000005
	-0.21874999999999994			4.375
	-0.7562499999999999			3.6500000000000004
	-1.3			3.0687499999999996
	-1.1125			3.7312499999999997
	-1.2374999999999998			3.15625
	-0.3687499999999999			3.4687500000000004
	-0.40625			3.725
	0.06874999999999995			4.05625
	0.8624999999999998			4.525
	1.0375			4.70625
	1.0625			4.6312500000000005
	0.17499999999999982			3.8500000000000005
	0.4062500000000001			4.175000000000001
	-0.006250000000000089			4.1375
	-1.0375000000000003			3.38125
	-0.8			3.0937499999999996
12월	-0.8375			3.525
	-0.30625			3.80625
	1.0374999999999999			4.69375
	0.6499999999999999			4.6625000000000005
	0.8562500000000001			4.9437500000000005
	1.35			4.91875
	0.89375			4.7125
	1.0625			4.9625
	1.9312500000000004			5.5125
	1.6374999999999997			5.606249999999999
	1.63125			5.543750000000001
	1.575			5.65625
	1.04375			4.6375
	0.15624999999999994			4.38125
	-0.07499999999999987			3.4124999999999996
	-0.5062500000000001			4.25625
	1.4			5.6800000000000015

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

연간 요약 2026

40°C

최고 기온

28 6월 26

-11°C

최저 기온

12 1월 26

계절별 분석

가장 더운 달8월28.72°C

가장 추운 달1월-3.75°C

가장 비가 많은 달8월3.15mm

가장 바람이 강한 달7월22.8km/h

Frankfurt Oder 기후 변화 인사이트시간에 따라 기후 패턴이 어떻게 변화하는지 확인하세요. 기온 변화, 강수량 트렌드, 극단적 기상 이변—모두 한 곳에서.

세계 날씨 도시 순위현재 기온 데이터를 기반으로 세계에서 가장 덥고 가장 추운 도시를 실시간으로 탐색하세요.

Frequently Asked Questions

1. Frankfurt Oder 에서 역사적으로 가장 더운 달은 무엇입니까?

8월은 역사적으로 Frankfurt Oder 에서 가장 더운 달로, 평균 최고 기온이 약 25°C입니다. 폭염이 절정에 달할 때 가장 높은 기록 온도는 2026-06-28에 40°C에 달했습니다.

2. Frankfurt Oder 에서 역사적으로 가장 추운 달은 무엇입니까?

1월은 Frankfurt Oder 에서 가장 추운 달로, 평균 최저 기온이 약 -1°C입니다. 2010-01-27에 -22°C의 사상 최저 기온이 기록되었습니다.

3. 지난 17년간 Frankfurt Oder 의 평균 연간 강수량은 얼마입니까?

Frankfurt Oder 의 평균 연간 강수량은 17년 기록을 기준으로 약 625.9mm입니다.

4. Frankfurt Oder 은 평균적으로 연간 몇 일의 우천일을 경험합니까?

Frankfurt Oder 은 역사적으로 연간 약 201.8일의 우천일을 기록합니다. 7월은 평균 20일로 우천일이 가장 많습니다.

5. Frankfurt Oder 에서 기록된 역대 최고 기온은 무엇입니까?

Frankfurt Oder 에서 기록된 역대 최고 기온은 2026-06-28의 40°C입니다.

6. Frankfurt Oder 에서 기록된 역대 최저 기온은 무엇입니까?

Frankfurt Oder 에서 기록된 역대 최저 기온은 2010-01-27의 -22°C입니다.

7. Frankfurt Oder 에서 역사적으로 일 년 중 가장 바람이 강한 시기는 언제입니까?

Frankfurt Oder 은 1월 동안 가장 강한 바람을 경험합니다. 49.8 kph의 역사적 돌풍 기록은 2017-10-05에 기록되었습니다.

8. Frankfurt Oder 에서 일 년 중 가장 높은 습도와 가장 낮은 습도는 얼마입니까?

보통 Frankfurt Oder 의 습도는 1월에 약 86.9%로 최고조에 달하고 8월에 약 66.6%로 최저를 기록합니다.

Frankfurt Oder 역사적 날씨 기록
가장 더웠던 날, 가장 추웠던 날, 가장 바람이 강했던 날, 가장 비가 많았던 날 분석

Frankfurt Oder 날씨 트렌드 그래프

연간 요약 2026

계절별 분석

Frequently Asked Questions

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Frankfurt Oder 역사적 날씨 기록가장 더웠던 날, 가장 추웠던 날, 가장 바람이 강했던 날, 가장 비가 많았던 날 분석

Frankfurt Oder 날씨 트렌드 그래프

연간 요약 2026

계절별 분석

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

Frankfurt Oder 역사적 날씨 기록
가장 더웠던 날, 가장 추웠던 날, 가장 바람이 강했던 날, 가장 비가 많았던 날 분석