Lampertheim السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lampertheim رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.18125	-0.9		6.956250000000002	2.6
	1.3125	-0.5		5.8187500000000005	3
	1.8312499999999998	-1.9		6.031250000000001	0.9
	1.7875000000000003	-2.3		5.7749999999999995	0.1
	1.15625	-3.6		5.60625	-0.1
	1.36875	-4.2		5.550000000000001	-0.4
	1.15625	-6		5.53125	-2
	2.05625	-3.1		5.718750000000001	0.9
	1.33125	1.8		5.94375	6.9
	1.2374999999999996	-2.5		5.2625	3.6
	0.06875	-3.5		4.73125	-0.6
	0.75	-1.6		4.825	3.2
	0.7937500000000002	2.1		5.53125	5.1
	0.5687500000000001	4.1		5.14375	8
يناير	0.006250000000000096	5.8		5.0625	10.2
	-0.25000000000000006	4.4		4.550000000000001	9
	-0.7625000000000002	2.1		4.574999999999999	5.7
	-1.3437499999999998	1.6		4.20625	5.7
	-1.95	0.4		2.925	5.2
	-1.9500000000000002	-0.5		2.79375	4.9
	-2.04375	-1.3		3.2874999999999996	2.9
	-1.36875	-0.6		3.69375	4.2
	-0.5249999999999998	1.2		4.09375	5.4
	-0.2749999999999997	-0.4		4.1375	4.5
	-0.2500000000000001	-0.9		4.3125	3.3
	-0.36874999999999986	0.2		4.48125	1.3
	-0.1437500000000001	0.4		5.000000000000001	4.8
	0.25625	1.6		5.718749999999999	3.1
	0.41874999999999996	1.6		5.606249999999999	2.5
	0.375	0.9		6.043749999999999	4.4
	0.25625	2.8		5.44375	6.3
	0.5750000000000003	3.6		5.625	6.3
	0.66875	1.7		6.075	6.1
	1.3375000000000004	0.7		5.800000000000001	2
	0.65625	-0.3		6.074999999999999	5.5
	0.45	2.5		5.46875	7.1
	0.59375	1.1		5.862499999999999	5.4
	-0.48124999999999984	4.5		5.506249999999999	9.9
	-0.4187499999999998	2.3		5.593749999999999	7.8
	-0.6124999999999998	0.9		5.275	6.3
	-0.9874999999999996	1.5		4.7124999999999995	5.8
	-0.32499999999999996	6		4.70625	11.6
	-1.1562499999999998	6.6		5.037500000000001	9.1
	-1.3312500000000005	5.7		5.668750000000001	8.7
	-0.8375000000000001	0.6		6.412500000000001	5.7
فبراير	0.475	-0.8		6.731249999999998	3.9
	1.0375	1.4		8.806249999999999	6.4
	1.4000000000000001	1.6		8.1625	6.8
	1.6	0.6		8.35625	4.4
	1.33125	3.4		7.64375	5.6
	1.125	2.9		8.6125	5.7
	2.08125	6.4		8.8375	10.7
	2.4499999999999997	9.8		8.787499999999998	11.5
	2.4625	10		8.85	12.2
	1.85625	8.2		9.149999999999999	9.6
	1.5812500000000003	6.7		8.96875	14.7
	1.2249999999999999	7.3		8.056249999999999	17.4
	0.8374999999999999	8.1		7.831250000000001	17.9
	0.8499999999999999	8.1		8.65	13.9
	1.1812500000000001	6		8.900000000000002	13.1
	1.3312499999999998	5		8.81875	14
	1.3187500000000003	5.7		9.8125	14.6
	0.9500000000000002	6.1		10.0125	15
	1.2249999999999999	5.7		9.01875	16.1
	0.8375000000000001	5.9		9	14.7
	1.125	6.6		9.58125	16.6
	0.9000000000000001	6.7		10.60625	15.9
	2.5250000000000004	6.8		11.375	16.8
	2.4562500000000003	8.4		11.018749999999999	17.1
	2.6000000000000005	9		10.6625	13
	2.63125	7.1		10.93125	13.4
	2.8437499999999996	5.5		10.71875	14
	2.98125	4.2		10.6	10.5
مارس	2.6	3.8		10.606250000000001	8.1
	3.1875	3.3		11.975	10
	2.9375000000000004	4.4		11.943750000000003	7.7
	3.35625	3		11.65	13.4
	4.05625	4.5		11.987500000000002	14.8
	3.2375000000000003	5.1		12.862499999999999	14.9
	3.6375	7.3		13.143749999999997	13.3
	3.40625	5		12.5125	14.5
	3.5250000000000004	5.1		13.268749999999999	15.1
	3.7062500000000003	6.1		13.700000000000001	16.6
	3.4625	5.4		13.18125	11.3
	3.73125	2.4		12.025	7.9
	3.156249999999999	0.5		13.2625	8.3
	3.925	1.4		14.5875	6.4
	5.1499999999999995	0.3		14.9875	8.5
	5.0874999999999995	4.1		14.637500000000001	9.6
	5.26875	2.5		13.968749999999998	9
	5.081249999999999	3.4		13.456249999999999	11.3
	3.78125	3.3		13.1875	14.2
	4.543749999999999	7.9		13.912499999999998	14.7
	4.518750000000001	9.9		13.69375	15.2
	4.4750000000000005	9.4		13.1375	18.5
	4.56875	6.6		14.068750000000001	16
	5.018750000000001	7.1		16.10625	19.1
	5.3125	7		15.35625	19.9
	5.187499999999999	8.5		16.393750000000004	20.5
	6.037499999999999	9.1		15.9875	14.1
	6.062499999999999	8.3		16.381249999999998	21.3
	5.80625	7.7		15.818750000000001	14
	6.46875	8.9		15.09375	10.4
	5.850000000000001	8.8		16.33125	15.8
أبريل	5.75	9.6		16.2375	18.6
	6.0625	11.5		15.924999999999997	19.1
	5.8125	10.6		15.562499999999998	23.1
	5.81875	15.2		15.706249999999999	22.3
	5.700000000000001	10.1		16.787499999999998	16.7
	6.187500000000001	8		17.14375	15.4
	6.2250000000000005	4.9		17.868750000000002	14.2
	6.775	6.4		17.63125	17.1
	7.150000000000001	6.7		17.825000000000003	20.2
	7.0249999999999995	7.8		17.975	20.6
	7.175	8.8		16.95625	21
	6.81875	8.4		15.8375	19.2
	6.0875	8.3		15.631250000000001	21.4
	6.487499999999999	10.6		17.65	22
	7.9312499999999995	9.2		18.675	19.5
	8.50625	6.6		17.537499999999998	18
	8.706249999999999	8.7		17.7	22.8
	8.13125	10.6		18.33125	26
	8.15625	14.6		17.21875	24.6
	7.5249999999999995	13.1		16.7375	23.2
	7.38125	13.3		17.7875	17
	7.86875	10.5		17.99375	18.7
	8.525	9.1		18.400000000000002	14.5
	8.700000000000001	7.5		18.9625	18.2
	9.95	9.2		20.2125	23.8
	9.912499999999998	12.2		20.08125	24.9
	10.35625	7.3		20.7125	14.2
	10.15	3.5		20.1875	12.5
	8.84375	6.5		18.4375	14.9
	9.206249999999999	7		18.46875	14.3
مايو	8.825000000000001	6.7		18.26875	13.8
	8.625	4.9		17.9875	15
	9.0625	6		18.15	17
	8.974999999999998	8.4		19.7	15.6
	9.537500000000001	8		20.15625	16.9
	10.425	11.2		20.09375	19.1
	11.0375	11		20.96875	22.8
	11.418750000000001	13		21.593749999999996	26.8
	11.187500000000002	15.1		20.95625	30.4
	10.512500000000001	17.8		20.381249999999998	31.4
	10.4125	17.1		20.19375	30.7
	10.75	17.3		20.493749999999995	32.5
	10.862499999999999	19.4		20.83125	31.3
	10.856250000000001	14.9		21.63125	28
	11.018749999999999	15		21.44375	31
	11.512500000000001	18.2		22.20625	31.8
	11.650000000000002	16.4		21.850000000000005	25.6
	12.2	13.9		21.606249999999996	25.8
	12.25625	15.1		22.799999999999997	26.4
	13.299999999999999	11.9		23.943749999999998	21.1
	13.318749999999998	13.6		23.825	18.6
	13.375	11.5		24.36875	20.4
	13.331249999999999	11.5		23.056250000000002	24.6
	13.187499999999998	12.9		23.325	23.1
	13.337500000000002	13.5		23.4125	25.7
	13.524999999999999	13.6		23.849999999999998	20.9
	13.725000000000001	10.6		24.0875	16.5
	13.53125	9		23.9125	19.6
	13.5375	11.7		23.531249999999996	16.5
	13.125	14.7		23.425	24.5
	12.9625	13.1		23.612500000000004	20.3
يونيو	13.881250000000001	10.3		23.85	22.5
	13.98125	13		23.625	28.5
	13.956249999999999	16.1		24.4	29.4
	15.031250000000002	18.2		25.8	33.9
	15.212500000000002	21		25.837500000000002	37.4
	14.74375	19.9		24.199999999999996	35.7
	13.825	21.2		24.668749999999996	36.5
	14.387499999999998	20.6		24.81875	35.7
	14.2375	20.8		23.656250000000004	34.3
	13.675	22.5		24.993749999999995	36.2
	14.75625	23.4		25.643749999999997	37.9
	15.075000000000001	24.1		26.525	40.3
	15.1	22.2		25.868750000000002	41.3
	15.318750000000003	24.6		26.45	38.6
	16.131249999999998	21.3		26.53125	30.6
	15.725000000000003	20.7		26.4625	28.9
	14.91875	20.1		24.96875	28.4
	14.875	16.9		26.262500000000003	30
	15.387500000000003	15.2		25.668749999999996	27.1
	15.056250000000002	15.1		26.137500000000003	29.3
	15.731250000000001	19.1		26.54375	28.5
	15.99375	17.1		26.39375	31.1
	15.262499999999998	19.2		25.1625	33.6
	14.274999999999997	20		24.7375	26.2
	14.931250000000002	17.2		25.31875	31
	15.318749999999998	18.5		26.424999999999997	32.6
	15.64375	19.3		26.26875	33.3
	15.7875	18.9		26.068750000000005	32.6
	15.1625	20.3		24.712500000000006	34.1
	15.168750000000003	22.3		25.224999999999998	35.2
يوليو	14.943750000000001	18.9		25.125000000000004	31.5
	14.8	19.2		26.18125	33.3
	15.54375	19.2		26.15	31.1
	15.837499999999997	17.3		27.356250000000003	29
	16.693749999999998	15.1		28.93125	25
	17.056250000000002	13.5		28.14375	24.2
	16.86875	13.7		27.26875	26.3
	16.7125	15.8		26.53125	26
	16.581250000000004	14		26.825	25.3
	16.34375	14.6		26.712500000000006	28.4
	16.193749999999998	17.6		26.55625	33.4
	16.381249999999998	20.1		27.249999999999996	30.7
	17.025	18		26.71875	27.6
	16.749999999999996	17.3		25.83125	30.9
	16.18125	20.1		25.268749999999997	37.1
	15.575	22.7		25.562499999999993	40.2
	15.7375	20.3		26.2125	35.6
	16.79375	20.5		27.543749999999996	27.9
	16.63125	19.9		28.000000000000007	31.8
	17.38125	21.7		26.181250000000002	37.3
	16.974999999999998	21.5		26.5625	37.1
	16.425	21.7		26.125	32.3
	15.793750000000001	20.7		25.856250000000003	29.2
	15.7375	16.6		26.712500000000002	28.1
	16.2375	16.1		26.012500000000003	32.1
	16.275000000000002		20.7	27.0125		35.5
	15.850000000000001		22	25.968749999999996		34.8
	15.59375		18.9	26.187500000000007		30.4
	15.643749999999999		17.3	26.568749999999998		32.2
	16.30625		18.5	27.375		34.3
	16.612499999999997		21.2	27.900000000000002		36.2
أغسطس	17.48125		22.9	26.68125		39.1
	16.2		22.9	26.15625		33.5
	16.493750000000002		16.4	25.412499999999998		25.3
	16.1375		15.9	25.51875		25.6
	15.837499999999999		15.8	25.49375		26.6
	15.637500000000001		16	26.318749999999998		26.9
	15.875000000000002		15.9	27.493750000000002		26.7
	15.95		15.4	27.1875		26.5
	15.706250000000002		15.4	25.937499999999996		26.3
	15.2		15.4	25.549999999999997		26
	15.331249999999999		15.3	25.8375		25.5
	15.475000000000001		15.3	26.16875		26.1
	15.462499999999999		15.4	24.443749999999998		25.2
	14.875		15.3	24.75		24.7
	14.925		14.9	25.35		24.9
	15.44375		15	24.918750000000003		24.2
	14.8125		14.4	23.7125		23.8
	13.468750000000002		13.8	22.837500000000002		23.3
	13.5375		13.3	23.362499999999997		23.7
	13.824999999999998		14.1	24.39375		24.3
	14.143749999999999		14.3	25.043749999999996		24.3
	14.7		14.2	24.8625		24.3
	14.293750000000003		13.5	24.874999999999996		24
	13.981250000000001		13.6	22.349999999999998		23.3
	13.425		13.7	22.95		23.5
	13.65625			23.03125
	13.387500000000003			23.2375
	13.443749999999998			23.525000000000002
	13.412500000000001			23.325000000000003
	13.493749999999999			21.70625
	13.012500000000001			21.80625
سبتمبر	12.975			21.681250000000002
	12.200000000000001			21.256249999999998
	11.943749999999996			20.75625
	11.674999999999999			21.075
	11.549999999999997			20.86875
	11.3125			21.193749999999998
	10.649999999999999			21.099999999999998
	10.0125			20.13125
	10.25			20.55625
	10.75			19.63125
	10.825			19.34375
	10.712499999999999			19.01875
	11.118749999999999			19.06875
	10.381250000000001			19.081249999999997
	10.643749999999999			19.187500000000004
	9.856249999999998			18.249999999999996
	9.599999999999998			18.762499999999996
	9.675			18.462499999999995
	9.593750000000002			18.943749999999998
	9.625			17.65
	9.737499999999999			17.225
	9.46875			16.799999999999997
	9.287500000000003			16.9375
	9.850000000000001			17.150000000000002
	8.925			17.006249999999998
	9.0375			17.074999999999996
	8.487499999999999			16.6
	8.0875			15.9625
	8.45			16.96875
	7.668750000000001			16.50625
أكتوبر	7.5874999999999995			15.112499999999999
	7.9624999999999995			15.268749999999999
	8.06875			15.693750000000001
	8.11875			16.55
	8.368749999999999			15.768749999999997
	9.012500000000001			15.837500000000004
	8.15625			15.506250000000001
	7.550000000000001			14.581249999999999
	7.3375			14.9125
	7.2125			14.5875
	7.8875			15.11875
	8.143749999999999			15.756250000000003
	7.375000000000001			13.556249999999999
	6.562500000000001			12.8625
	6.5375			13.887500000000001
	6.874999999999999			13.45
	6.725			13.874999999999998
	6.462500000000001			14.04375
	7.0375			13.64375
	7.137499999999999			12.918750000000001
	7.137499999999999			13.287499999999998
	6.031250000000001			11.89375
	5.775			11.825
	6.131249999999999			11.5625
	5.86875			11.350000000000003
	5.606250000000001			11.068750000000001
	5.0062500000000005			10.362499999999999
	4.925			9.96875
	4.8812500000000005			10.287500000000001
	4.6125			10.83125
	4.762500000000001			10.343749999999998
نوفمبر	4.54375			9.724999999999998
	3.5999999999999996			8.90625
	4.05625			8.987499999999999
	4.231249999999999			9.05
	4.5062500000000005			9.431249999999999
	3.19375			8.7375
	2.16875			7.218749999999999
	1.7937499999999997			6.893749999999999
	1.81875			7.800000000000002
	2.9562500000000003			7.7875000000000005
	2.24375			7.5125
	2.475			7.218749999999999
	2.1062499999999997			6.543749999999998
	2.0625			6.7124999999999995
	1.43125			6.3875
	1.2			5.5
	0.9374999999999998			5.487500000000001
	0.29374999999999984			5.3187500000000005
	0.46875			4.71875
	0.07499999999999996			5.11875
	0.8187499999999999			5.581250000000001
	1.46875			5.650000000000001
	2.34375			6.4312499999999995
	1.8875			6.20625
	1.2312500000000002			5.7562500000000005
	0.76875			5.300000000000001
	1.64375			5.4125000000000005
	1.2562499999999999			5.625
	0.73125			5.581249999999999
	1.2375			5.3187500000000005
ديسمبر	1.39375			5.743750000000001
	1.325			6.231249999999999
	1.6500000000000004			6.4125
	1.61875			6.3374999999999995
	1.7125000000000001			6.95
	1.925			6.793749999999999
	2.43125			6.5687500000000005
	3.6187499999999995			7.449999999999998
	4.41875			8.59375
	4.1312500000000005			8.518749999999999
	2.80625			7.237499999999999
	2.2062500000000003			6.1875
	1.53125			5.9
	0.5874999999999998			5.349999999999999
	0.8125			5.44375
	1.5687500000000003			6.41875
	2.6199999999999997			6.886666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

41°C

أعلى درجة حرارة

27 يونيو 26

-6°C

أدنى درجة حرارة

7 يناير 26

التفصيل الموسمي

أحر شهرأغسطس31.97°C

أبرد شهريناير-0.09°C

أكثر شهر أمطارًافبراير2.46mm

أكثر شهر رياحًايوليو17.88km/h

Lampertheim رؤى تغير المناخاكتشف كيف تتطور أنماط المناخ بمرور الوقت. تحولات درجات الحرارة، واتجاهات هطول الأمطار، والأحداث المتطرفة—كل ذلك في مكان واحد.

تصنيف مدن الطقس عالميًااستكشف في الوقت الفعلي أكثر مدن العالم حرارةً وبرودةً بناءً على بيانات درجات الحرارة الحالية.

Frequently Asked Questions

1. ما هو أحر شهر في Lampertheim تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Lampertheim، مع متوسط درجات حرارة قصوى تبلغ حوالي 27°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 41°C في 2026-06-27.

2. ما هو أبرد شهر في Lampertheim تاريخيًا?

يناير هو أبرد شهر في Lampertheim، مع متوسط درجات حرارة دنيا تبلغ حوالي 0°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -15°C في 2010-12-26.

3. ما هو متوسط هطول الأمطار السنوي في Lampertheim خلال السنوات 17 الماضية?

يبلغ متوسط هطول الأمطار السنوي في Lampertheim تقريبًا 722.05mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

4. كم عدد أيام الأمطار التي تشهدها Lampertheim في المتوسط سنويًا?

تسجل Lampertheim تاريخيًا حوالي 198.2 يوم مطر سنويًا. يشهد مايو أكبر عدد من أيام الأمطار بمتوسط 18.2 أيام.

5. ما هي أعلى درجة حرارة تم تسجيلها على الإطلاق في Lampertheim?

أعلى درجة حرارة مسجلة على الإطلاق في Lampertheim هي 41°C في 2026-06-27.

6. ما هي أدنى درجة حرارة تم تسجيلها على الإطلاق في Lampertheim?

أدنى درجة حرارة مسجلة على الإطلاق في Lampertheim هي -15°C في 2010-12-26.

7. ما هي الفترة الأكثر عرضة للرياح في Lampertheim تاريخيًا?

تشهد Lampertheim أقوى رياحها خلال فبراير. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 49.8 كم/ساعة في 2017-01-13.

8. ما هو أعلى وأدنى مستوى للرطوبة في Lampertheim خلال العام?

عادةً، تبلغ رطوبة Lampertheim ذروتها في ديسمبر بحوالي 83.8% وتنخفض إلى أدنى مستوياتها في أغسطس بحوالي 64.1%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Lampertheim السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lampertheim رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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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

Lampertheim السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lampertheim رسم بياني لاتجاهات الطقس

الملخص السنوي 2026

التفصيل الموسمي

Frequently Asked Questions

المدونات الحديثة عن الطقس

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

Lampertheim السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا