Limburg السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Limburg رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	1.80625	0.3		6.3999999999999995	2.2
	1.2	-1.3		5.86875	2.2
	1.5750000000000002	-2		6.2125	1.1
	1.5062499999999999	-2.9		5.2625	1
	0.8812500000000001	-7.4		5.4375	-0.4
	0.9624999999999999	-8.1		5.525	-0.5
	0.7500000000000001	-9.5		5.24375	-1.3
	1.2374999999999998	-2.6		5.59375	1.8
	0.5812499999999999	1.6		5.7625	5.9
	-0.07500000000000001	-6.3		4.7625	2.2
	-0.75625	-10.8		4.518750000000001	-0.9
	0.2624999999999999	-1.9		4.925	5.2
	0.4562499999999999	0.9		5.300000000000001	6.9
	-0.1375	2.1		5.043749999999999	7.4
يناير	-0.53125	4.3		4.706250000000001	8.7
	-1.24375	2.8		4.199999999999999	8.4
	-1.6124999999999996	0.4		3.925	5.7
	-2.30625	-0.5		3.94375	5
	-2.6062499999999997	-1.7		3.2	6.7
	-2.7	-3.1		2.8	5.4
	-2.5125	-4.1		3.59375	4
	-1.3375	-2.4		3.54375	5.4
	-0.9937499999999999	-0.2		3.7312500000000006	4.4
	-0.96875	-3.1		4.0625	4.8
	-0.7437499999999999	-3.1		4.34375	4.6
	-1.325	-1		4.1625	1.1
	-0.41875000000000007	-2.5		4.99375	4.9
	-0.3437499999999999	1.2		5.550000000000001	3.2
	0.11250000000000002	1.7		5.55	2.8
	-0.012500000000000011	0.9		5.6875	3.2
	-0.6375000000000002	0.6		4.9375	5.7
	-0.36874999999999986	1.3		4.824999999999999	5.6
	-0.09999999999999991	0.4		6.075	3.5
	0.7249999999999999	-0.6		5.775	1.6
	0.4749999999999998	-0.7		5.475	5.4
	-0.18749999999999994	0.3		5.562499999999999	4.9
	-0.006249999999999978	0.7		5.356250000000001	6.3
	-1.19375	2.5		5.0562499999999995	10.1
	-1.7937500000000004	0.6		4.893750000000001	8.4
	-1.9625000000000001	-1.1		5.112499999999999	6.5
	-1.3375	-0.9		4.7562500000000005	6.1
	-1.4562500000000005	4.4		4.58125	10.8
	-1.9437499999999996	5.7		4.4624999999999995	9.4
	-2.3125000000000004	3.3		5.41875	7.1
	-0.8624999999999997	-2.4		6.24375	4.6
فبراير	-0.07500000000000007	-3		7.168750000000001	3.7
	0.17500000000000016	1.6		8.3125	5
	0.5562499999999999	0.2		7.7	5.6
	0.71875	-1.4		7.487499999999999	3.8
	0.08124999999999999	1.8		7.125	3.1
	0.16875	-0.5		8.35625	5.8
	1.08125	5.5		8.3	9.6
	1.29375	9.5		8.456249999999999	12.2
	1.73125	7.6		8.018749999999999	11.3
	1.2374999999999998	7.7		8.356250000000001	9.1
	0.75625	5.5		8.40625	14.6
	0.9562499999999999	5.2		7.550000000000001	16.9
	0.2	6.3		7.656250000000001	17.4
	-0.13124999999999992	5.9		7.668749999999999	13
	0.21874999999999994	1.9		8.299999999999999	12.8
	-0.06874999999999994	2.1		8.6875	13.3
	0.28125	3.2		8.9875	16
	0.26875	4.1		9.150000000000002	15.1
	-0.0812499999999999	3.2		8.2125	15.2
	0.049999999999999975	3.5		8.637500000000001	15.7
	-0.08124999999999999	4.3		9.06875	17.1
	-0.06875000000000006	4.1		9.668750000000001	16.6
	1.23125	4.2		10.575000000000001	17.2
	1.11875	6.3		10.899999999999999	16.1
	1.1875	6.6		10.03125	11.4
	1.8624999999999998	1.7		9.881250000000001	12
	1.4874999999999998	6.7		10.0125	11.6
	1.76875	2.3		9.95	6.1
مارس	1.6875000000000002	0.7		10.012500000000001	7.4
	1.75	1.2		11.375000000000002	10.3
	1.6875	1.7		10.44375	10
	1.6937500000000003	0.5		11.11875	12.9
	2.2312499999999997	1.5		11.424999999999999	14.2
	2.15	2.5		12.268749999999999	13.8
	2.6	3.1		11.9375	12.9
	2.5687500000000005	2.8		11.524999999999999	14.3
	2.3375000000000004	2.1		12.81875	14.3
	2.5374999999999996	3.5		12.562499999999998	15.5
	2.29375	2.1		12.2875	10.8
	2.49375	-2.2		11.125000000000002	6
	1.6437499999999998	-2.5		12.318750000000001	9.1
	2.0437499999999997	-1		13.737499999999999	4.7
	3.7624999999999997	-2.3		13.975000000000001	8.3
	3.525	3.4		13.7125	7.7
	4.125	0		13.212499999999997	8.3
	3.4875000000000003	-2.1		12.212499999999999	10.7
	1.86875	-1.3		12.24375	12.8
	3.0374999999999996	3.6		12.918750000000001	12.4
	3.5312500000000004	8.1		12.599999999999998	14
	2.8500000000000005	6.6		12.500000000000002	15
	2.8249999999999997	1.1		13.224999999999998	13.5
	3.80625	1.1		15.393749999999999	15.7
	4.356250000000001	0.8		14.612499999999999	17.2
	3.5687500000000005	2.8		15.775	17.9
	4.54375	4.8		14.993749999999999	11.4
	4.762499999999999	2.1		14.868750000000002	18
	3.9124999999999996	4.9		14.893749999999999	12.7
	4.9437500000000005	5.7		14.450000000000003	8.3
	3.8250000000000006	4.8		15.4625	15.1
أبريل	4.275	3		15.375	16.5
	4.6625000000000005	7.5		14.793750000000001	17
	4.51875	6		14.76875	19.4
	4.606250000000001	9.3		15.024999999999997	19.8
	4.58125	4		16.175	14.6
	5.374999999999999	1.7		16.83125	11
	4.75625	1		16.96875	12.8
	5.2625	-0.2		16.66875	15
	5.4375	1.6		16.89375	18.6
	5.6937500000000005	0.5		17.29375	18.2
	5.84375	1.7		15.956249999999999	17.9
	4.9437500000000005	1.5		15.100000000000001	15.5
	4.525	2.4		14.475	17.3
	5.218750000000001	3.3		16.71875	18.2
	6.018750000000002	3.8		17.631249999999998	16.3
	6.543749999999999	3		16.79375	16.4
	6.856249999999999	2.8		17.19375	20.8
	6.581249999999999	6.2		17.25	23.4
	6.43125	10.6		16.3375	21.3
	6.0375	7.3		15.762500000000001	20
	5.56875	11		16.95625	18
	5.78125	8.4		17.2	12.5
	7.549999999999999	7.2		17.45	13.8
	7.312499999999999	1.9		18.1375	16.9
	8.668750000000001	3.6		19.818750000000005	20.3
	8.399999999999999	6.2		19.474999999999998	20.8
	8.825	3.4		19.56875	10.4
	8.74375	0.6		19.006249999999998	10.9
	7.268750000000001	2.2		17.85625	10.7
	6.9875	2.1		18.0875	11
مايو	6.90625	1.7		17.612500000000004	13.2
	6.700000000000001	1.1		17.3125	14.2
	7.60625	1.3		17.2875	14.2
	7.19375	4.6		18.825	14.4
	8.025	4		19.325	14
	8.543750000000001	8		19.56875	18.4
	9.275	6.3		20.35625	20.2
	9.868749999999999	8.3		20.68125	25
	9.4625	11.1		20.006249999999998	27.7
	8.968750000000002	13.4		18.893750000000004	28.2
	8.71875	10.7		19.39375	27.3
	9.19375	12.8		19.525000000000002	29.5
	9.08125	12		19.75625	27.4
	9.83125	8		21.04375	24.1
	9.637500000000001	9.3		20.4625	28.8
	9.54375	13.5		21.0625	27
	9.8875	13.7		20.9	23.7
	10.3875	10.7		20.706249999999997	21.5
	10.2625	11.1		21.79375	22.2
	10.98125	9.4		22.725000000000005	19.2
	11.237499999999999	10.9		22.775	16.4
	11.70625	7.1		23.20625	17.9
	11.193750000000001	7		21.937500000000004	21.8
	11.075000000000001	7.8		22.125	20.9
	11.25625	8.2		22.40625	21.9
	11.36875	7.5		22.7375	19.6
	11.55	5.8		23.0125	15.7
	11.981249999999996	4.3		22.762499999999996	16.9
	11.6125	9		22.068749999999994	16
	10.681249999999999	9.6		22.375000000000004	22.4
	10.899999999999999	6.4		23.05	17.2
يونيو	11.8875	4.4		22.506249999999994	18.7
	11.800000000000002	8.4		22.36875	20.3
	11.775	11.7		23.356250000000003	26
	13.2125	14.4		24.7625	31.4
	13.275000000000002	16.8		23.993750000000002	33.9
	12.693750000000001	16.3		22.65625	32.9
	12	17.6		22.887500000000003	33.2
	12.612500000000002	15.6		23.575000000000003	32.3
	12.268749999999999	16.2		22.13125	32.5
	12.150000000000002	17		23.79375	33.7
	13.025000000000002	18.8		24.31875	35.1
	13.493749999999999	19		24.38125	37.6
	13.093749999999996	19.7		24.53125	38.7
	13.306249999999999	17.5		25.193749999999998	34.6
	14.4	17.5		25.268749999999997	27.1
	13.643749999999997	14.8		25.3	26.7
	13.46875	13.7		23.456249999999997	26.2
	13.243750000000002	11		24.85625	27.6
	12.9375	7.2		23.775	24.1
	12.474999999999998	7.5		24.893750000000004	27.1
	13.818750000000001	13.9		24.943749999999994	23.9
	13.725	12.7		24.6875	28.2
	13.156250000000002	15.3		24.0625	29.7
	12.2875	13.8		23.56875	23
	12.9	11.3		23.912499999999998	28.1
	13.343750000000002	11.9		24.825000000000003	30.1
	13.95625	12.9		24.956250000000004	30.4
	13.84375	13.2		24.187500000000004	31.3
	13.037500000000001	14.4		23.068749999999998	31.9
	13.656249999999998	15.5		23.5	31.4
يوليو	13.15625	13.8		23.2625	27.7
	13.337499999999997	12.5		24.231250000000003	29.7
	13.800000000000002	14.3		24.75625	28.2
	13.768750000000002	11.5		26.275000000000002	24.8
	14.66875	9.9		27.500000000000004	22.7
	15.074999999999998	5.3		26.78125	21.8
	14.975000000000001	7		25.7625	24.3
	15.1875	8.3		25.200000000000003	21
	14.412500000000001	7.2		25.4625	23.2
	14.412500000000001	7.7		25.38125	26.4
	14.431249999999999	11.9		25.26875	29.8
	14.64375	13.3		25.456250000000004	26.6
	15.2375	12.6		24.90625	23.7
	14.625	10.2		24.149999999999995	29.6
	14.475000000000001	14.5		23.75	34.8
	13.46875	16.5		23.8625	38.3
	13.706249999999999	16.3		24.46875	31.4
	14.01875	14.1		25.768749999999997	25.8
	14.35	12.6		26.400000000000002	29.4
	15.31875	14.4		24.868750000000002	34.6
	14.9875	16.6		25.318750000000005	35.1
	14.2125	16.8		24.424999999999997	31.2
	13.44375	13.1		24.924999999999994	25.7
	13.868749999999999	8.4		25.937499999999996	24.5
	14.218749999999998	9		24.075000000000003	28.7
	14.325000000000005	13.9		25.437499999999996	34.1
	13.775	15.4		24.49375	31.9
	13.36875	10.6		24.79375	27.3
	13.781249999999998	9.9		25.043749999999996	30.2
	14.287500000000001	12.4		26.14375	32.7
	14.512500000000001		15.1	26.5375		35
أغسطس	15.21875		17.8	24.912500000000005		37
	14.2875		17.1	24.668750000000006		26.3
	14.10625		12.4	23.962500000000002		26.3
	14.09375		9.2	24.3		21.8
	13.406249999999998		13.8	24.1375		26.9
	13.05625		12.9	25.349999999999994		18.3
	13.78125		14.7	26.0875		22.4
	14.175		13.5	25.493750000000002		25.1
	13.831249999999999		13.6	25.037499999999998		25.3
	13.312500000000002		13.6	24.537500000000005		25.1
	13.1125		13.2	24.91875		24.5
	13.900000000000002		13.7	24.281250000000004		24.2
	13.443750000000001		13.5	22.88125		23.7
	12.843750000000002		13.1	23.731250000000003		23.7
	13.20625		13	24.11875		23.5
	13.13125		12.8	23.8625		23.3
	12.893749999999999		12.6	22.64375		22.5
	11.8125		11.8	20.900000000000002		21.6
	11.21875		11.2	22.575		22.9
	11.8875		12	23.449999999999996		23
	12.268750000000002		12.4	23.64375		22.8
	13.15625		12.8	23.95		23.5
	12.331249999999999		11.6	23.525		23
	12.125		11.6	21.3625		22.3
	11.606250000000003		12	21.600000000000005		22
	11.924999999999999		12.1	22.131250000000005		22.3
	11.574999999999998		11.7	22.1625		21.9
	11.962499999999999		11.4	22.35		21.9
	11.362499999999999		11	22.387500000000003		21.9
	11.724999999999998		11.5	20.18125		20
	11.39375			20.61875
سبتمبر	11.125			20.9625
	10.312499999999998			20.7625
	10.531249999999998			20.406250000000004
	10.218749999999998			20.36875
	9.875			20.249999999999996
	9.737499999999999			20.3125
	8.856250000000001			19.949999999999996
	8.825			19.66875
	8.825000000000001			19.33125
	8.95625			18.89375
	9.431250000000002			18.6
	8.931249999999999			18.10625
	9.493749999999999			18.150000000000002
	8.868749999999999			18.3125
	8.84375			18.162499999999998
	8.00625			17.412499999999994
	7.937499999999999			18.23125
	8.60625			17.8
	8.2625			17.799999999999997
	8.200000000000001			17.124999999999996
	8.325			16.293750000000003
	8.35625			15.86875
	7.968750000000001			16.299999999999997
	8.568750000000001			16.2875
	7.5375			16.23125
	7.562499999999998			16.637500000000003
	7.4125			15.9375
	5.9875			15.331249999999999
	7.4750000000000005			15.587499999999999
	6.762500000000001			15.48125
أكتوبر	6.331249999999999			14.4875
	7.33125			14.575
	7.381250000000001			15.306249999999999
	6.3375			15.674999999999999
	7.53125			15.893749999999999
	8.306249999999999			14.925
	6.86875			15.087499999999999
	7.30625			13.843750000000002
	6.5375000000000005			14.4625
	6.762499999999999			14.087500000000002
	6.825			13.837500000000002
	7.2562500000000005			14.743749999999999
	6.281250000000001			12.862499999999999
	5.624999999999999			12.64375
	6.6			13.662499999999998
	6.0625			12.95
	6.031249999999999			13.312499999999998
	5.9125			13.5375
	6.45			13.050000000000002
	6.450000000000001			12.424999999999999
	5.51875			12.331249999999999
	4.893750000000001			11.83125
	4.593749999999998			11.512500000000001
	5.468749999999999			11.193750000000001
	5.156249999999999			11.156250000000002
	4.55			10.618749999999999
	4.49375			10.7
	3.79375			10.40625
	3.9250000000000003			10.5875
	3.975			10.34375
	3.4312500000000004			9.774999999999999
نوفمبر	4.0625			9.612499999999999
	2.81875			8.6625
	2.8437500000000004			8.706249999999999
	3.5625			8.437499999999998
	4.15625			8.762500000000001
	2.875			8.03125
	1.58125			7.112499999999999
	0.8124999999999997			6.5
	1.76875			7.8999999999999995
	1.5750000000000002			7.681249999999999
	1.6			7.5125
	1.8062500000000001			7.0687500000000005
	1.55			6.275
	1.3437500000000002			6.5375
	0.7062499999999998			5.925
	0.1			5.4750000000000005
	-0.18125000000000008			5.031250000000001
	-0.9249999999999999			5.11875
	-0.3812499999999998			4.99375
	-0.47500000000000003			4.906249999999999
	0.02500000000000001			5.03125
	0.425			5.543749999999999
	1.2625000000000002			6.13125
	0.8375			6.2
	0.11874999999999994			5.6937500000000005
	-0.33125000000000004			5.018749999999999
	0.9624999999999999			5.375
	0.58125			5.3875
	-0.23750000000000002			4.9625
	-0.13749999999999998			4.8875
ديسمبر	0.41874999999999996			5.65625
	0.8812500000000001			6.325
	1.7999999999999998			6.9437500000000005
	1.61875			6.456249999999999
	2.0624999999999996			7.20625
	1.8375000000000001			7.049999999999999
	2.03125			6.6187499999999995
	3.0250000000000004			7.368749999999999
	4			7.868750000000001
	3.6124999999999994			7.93125
	2.35625			6.743749999999999
	1.5625			6.4750000000000005
	0.85625			6.237500000000001
	0.53125			5.512499999999999
	0.3624999999999999			5.6
	0.9125			6.199999999999999
	2.4599999999999995			7.206666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

39°C

أعلى درجة حرارة

27 يونيو 26

-11°C

أدنى درجة حرارة

11 يناير 26

التفصيل الموسمي

أحر شهرأغسطس30.09°C

أبرد شهريناير-1.86°C

أكثر شهر أمطارًافبراير2.38mm

أكثر شهر رياحًايوليو17.29km/h

Limburg 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 Limburg تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Limburg، مع متوسط درجات حرارة قصوى تبلغ حوالي 25°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 39°C في 2019-07-25.

2. ما هو أبرد شهر في Limburg تاريخيًا?

يناير هو أبرد شهر في Limburg، مع متوسط درجات حرارة دنيا تبلغ حوالي 0°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -14°C في 2012-02-12.

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

يبلغ متوسط هطول الأمطار السنوي في Limburg تقريبًا 761.04mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Limburg تاريخيًا حوالي 213.6 يوم مطر سنويًا. يشهد مايو أكبر عدد من أيام الأمطار بمتوسط 18.7 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Limburg هي 39°C في 2019-07-25.

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

أدنى درجة حرارة مسجلة على الإطلاق في Limburg هي -14°C في 2012-02-12.

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

تشهد Limburg أقوى رياحها خلال فبراير. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 47.2 كم/ساعة في 2010-02-28.

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

عادةً، تبلغ رطوبة Limburg ذروتها في ديسمبر بحوالي 88.7% وتنخفض إلى أدنى مستوياتها في أغسطس بحوالي 70.9%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Limburg السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Limburg 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

Limburg السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Limburg 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

Limburg السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا