Modling السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Modling رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-0.4687500000000002	-1.6		4.987499999999999	2.7
	-1.0375	1.2		5.05	4.4
	-0.18749999999999967	-1.7		4.4624999999999995	1.9
	0.2812499999999999	-2.8		4.45625	1.1
	0.10624999999999997	-3.8		4.143750000000001	-0.6
	-1.16875	-4.1		3.2125000000000004	-1.5
	-2.5937499999999996	-4.8		3.2125000000000004	-1.8
	-1.6312500000000003	-5.3		3.3249999999999997	-0.9
	-0.6749999999999998	-3.5		3.787500000000001	-2.1
	-0.8812499999999999	-5.1		3.6875000000000004	3.3
	-2.175	-7.2		3.69375	-2.6
	-1.1187500000000001	-6.2		4.231250000000001	-0.9
	-0.825	-1.5		3.8312500000000003	3.6
	-0.5374999999999999	-0.5		3.8312500000000003	0.9
يناير	-1.4562499999999996	-0.3		3.2250000000000005	1.8
	-2.1125000000000007	0.6		3.1062499999999997	2.3
	-1.6875	-0.8		3.16875	1.9
	-1.9624999999999997	-1.2		2.8687499999999995	2.5
	-2.1875	-2.5		2.3937500000000003	0.7
	-2.7875	-3		2.8125	1.5
	-3.3	-3.8		1.5374999999999999	2.4
	-3.19375	-5.2		2.03125	-0.7
	-2.6999999999999997	-6.7		2.15	0
	-2.65625	-1.4		2.3	1.5
	-2.9124999999999996	-0.3		1.9500000000000002	1.5
	-3.29375	0.1		2.1875	4.6
	-3.8124999999999987	-0.1		2.55	6.1
	-2.2562500000000005	1.3		3.7624999999999993	3.1
	-1.5687499999999999	-0.6		4.2124999999999995	1.8
	-1.8375000000000001	0.4		4.43125	2.8
	-1.63125	0.4		3.375	2.4
	-1.7375000000000003	-1.7		4.16875	1.2
	-0.34375000000000006	-2.3		4.3875	2.5
	-0.9249999999999998	-0.9		4.6	2.8
	-0.9624999999999999	0.1		4.2250000000000005	2.5
	-0.9874999999999999	1.7		4.6625000000000005	4.9
	-1.30625	3.9		4.0375000000000005	6.8
	-1.6312499999999999	4.3		3.84375	5.6
	-1.6874999999999996	5		3.6312499999999996	6.1
	-1.9124999999999994	3.2		4.481249999999999	4.7
	-1.7374999999999996	3.3		5.05625	6.4
	-1.5187499999999998	2.8		4.01875	8
	-1.5875000000000001	3.9		3.0812500000000003	9.8
	-1.8249999999999997	5.2		3.7437500000000004	10.3
	-1.6499999999999997	3.6		4.7	9.1
فبراير	-1	-2.1		5.6375	2
	-1.1374999999999997	-2.3		6.01875	6.5
	0.18125000000000002	2.4		6.806250000000001	6.2
	0.9812499999999998	1.5		6.424999999999999	5.4
	0.01875000000000021	0.8		7.0687500000000005	4.7
	0.38750000000000007	-4.2		6.625	0.8
	0.625	-6.7		7.075	4.9
	0.7374999999999999	4.2		7.706249999999999	9.5
	0.7937500000000001	8.3		7.724999999999998	10.5
	0.7249999999999999	5.5		8.05625	10
	0.4375	2.6		7.843749999999999	10.5
	0.6312499999999999	3.4		7.49375	11.7
	0.48125	3.5		6.66875	12.4
	0.375	3.9		7.75625	13.1
	0.6250000000000001	6		7.98125	10.3
	1.0125	7.4		7.9624999999999995	9.4
	1.025	6.7		9.29375	13.1
	1.1125	5		9.33125	13.4
	0.7375	5.5		7.737500000000001	14
	0.45	5.2		8.06875	14.4
	0.8937499999999999	5.6		8.956249999999999	15
	0.9625000000000001	5.2		8.29375	14.6
	1.21875	7.2		9.6875	14.1
	1.6375000000000002	6.5		9.76875	15.6
	1.33125	6.6		9.831249999999999	15.6
	2.843750000000001	7.2		10.037500000000001	15.6
	3.2437499999999995	6.4		11.231250000000001	16.4
	3.15	8.7		10.09375	16.7
مارس	2.7	6.1		9.2375	10.1
	2.7499999999999996	6.2		9.381250000000001	12.2
	2.3375000000000004	4.1		11.350000000000001	8.8
	1.8437499999999998	4.4		9.99375	13.2
	1.9937500000000001	4.2		10.687499999999998	12.2
	2.05625	4.5		11.006249999999998	12.9
	2.0749999999999997	6.1		12.443750000000001	8.4
	2.2125	3.8		12.393749999999999	12.9
	2.7937499999999997	4.6		12.687499999999998	14.6
	3.61875	7		12.975	14.6
	3.00625	7.2		11.90625	17.9
	3.4875	3.5		11.993749999999999	7
	3.4125	1.9		11.25	5.2
	2.7624999999999997	2.1		13.25	8.2
	4.718750000000001	3.3		14.40625	7.3
	5.5375000000000005	2.7		15.406250000000002	8.8
	5.23125	2.1		14.00625	7.7
	5.2875	2.6		13.537500000000003	10.8
	3.96875	4		13.13125	6.2
	4.01875	5		13.19375	15.1
	4.262499999999999	6.8		14.456249999999999	10.9
	4.825	6.6		13.98125	23.1
	4.59375	9.5		13.037500000000001	16.1
	4.9125000000000005	6		13.7375	16.7
	5.9312499999999995	4		14.36875	13.2
	5.2562500000000005	2.9		14.649999999999999	13.4
	5.2250000000000005	2.7		14.193750000000001	6.3
	5.268750000000001	2		14.687499999999998	13.2
	5.65625	5.1		15.818750000000001	16.1
	6.0375	9.5		14.3875	16
	5.987499999999999	9.2		14.675	12.5
أبريل	6.237499999999999	9.6		14.274999999999999	15.9
	5.71875	11		15.225	16.9
	5.4750000000000005	8.7		15.35625	20.4
	5.5375	7.6		14.524999999999999	19.1
	5.53125	9.6		14.593749999999998	20.6
	5.706250000000001	7.7		15.724999999999998	16.5
	5.88125	5.6		16.7875	12.2
	7.13125	2.9		16.78125	14.6
	6.868750000000001	5.3		16.8	18.2
	7.425	7.1		17.381249999999998	20.4
	7.475	7.9		17.4625	21.9
	7.3375	9		16.7	16.2
	6.86875	6.8		16.6	17.9
	6.9	8.6		16.9875	17.8
	8.01875	6.1		18.506249999999998	14.7
	8.787500000000001	1.8		19.20625	13.3
	9.73125	3.7		19.69375	18
	10.05625	7.6		18.749999999999996	22.5
	9.575000000000001	9.4		17.831249999999997	23.7
	8.54375	11.2		17.6	25.9
	8.26875	11.3		16.71875	26.8
	8.4375	14.7		17.86875	25.8
	8.581249999999999	11.7		18.1625	18.1
	8.637500000000001	8.4		17.95625	20.4
	8.431249999999999	9.8		18.48125	19.9
	9.356250000000001	8.7		20.20625	22.7
	9.887500000000001	11.4		20.331250000000004	20.8
	9.75625	7.6		19.368750000000002	12.9
	9.75	5.2		17.787499999999998	17.1
	9.2625	8.1		16.943749999999998	15.8
مايو	8.7	8.6		15.674999999999999	13.7
	8.375	8.4		16.493750000000002	9.1
	8.89375	7.6		15.86875	16.3
	9.09375	5.7		17.087500000000002	19.3
	9.243750000000002	8.1		19.731250000000003	20.3
	10.137500000000001	10.8		20.349999999999998	20.3
	11.031249999999998	12.3		20.35	22.1
	11.73125	10.5		20.187499999999996	23.4
	11.706249999999999	11.9		19.63125	24.8
	11.312500000000002	13.6		20.156250000000004	28.6
	11.056250000000002	15.6		19.093749999999996	28.3
	10.925	14.4		20.349999999999998	29.3
	11.3625	16.4		19.837500000000002	29.3
	10.80625	12		19.518749999999997	23.2
	10.987499999999999	10.3		19.89375	24.9
	11.05625	13.1		19.81875	25.8
	11.618749999999999	12.8		20.60625	25.9
	11.9	13.6		21.04375	19.9
	12.687500000000002	11.4		21.149999999999995	25.9
	12.575000000000003	13.1		21.875	15.4
	13.218750000000002	10.5		23.1875	25.1
	13.55	11.3		22.94375	16.1
	13.612499999999999	10		22.862499999999997	24.1
	13.89375	13.3		23.5125	27
	14.3625	14		24.200000000000003	27.4
	14.462500000000002	14.8		23.825000000000003	27.3
	14.49375	10.1		24	14.2
	14.425	9.2		23.8125	18.2
	14.6125	9.9		24.493750000000002	17.1
	13.768750000000002	13.4		23.387500000000003	23.4
	13.462499999999999	14.1		22.731250000000003	21
يونيو	13.056250000000002	12.5		23.8	22.7
	13.881250000000001	10.6		22.831250000000004	25.4
	14.35	14.3		23.712500000000002	26.2
	14.306249999999999	15.5		25.131249999999998	28.1
	15.18125	17.6		25.481250000000003	31.8
	15.625000000000002	18.7		25.775000000000002	33.3
	15.562500000000002	17.4		24.656249999999996	33.5
	14.75	18.3		25.81875	31.5
	15.450000000000003	17.3		24.581249999999997	30.6
	14.79375	17.1		23.45	30.7
	14.381250000000001	18.1		23.562499999999996	32.9
	14.83125	19.9		24.95625	35.3
	15.3125	21.9		25.043749999999996	37.8
	15.13125	21.9		25.125	39.1
	16.018750000000004	21.7		27.025000000000002	38.7
	15.225000000000001	20.3		26.09375	35.4
	15.556250000000002	17.6		26.299999999999997	32.9
	15.36875	16.9		25.612499999999997	27.6
	15.80625	17.7		26.281250000000004	26.2
	15.787500000000001	13.9		25.89375	27.2
	16.33125	15		26.631249999999998	24.9
	16.78125	16.1		27.66875	24
	16.83125	18.1		27.268749999999997	29.4
	15.637500000000001	16.6		24.9625	24.9
	15.062500000000002	13.8		25.76875	26.7
	16.075000000000003	16		25.925	28.6
	16.26875	16.6		26.062499999999996	28.4
	16.36875	17.3		26.756249999999998	25.9
	16.625	16.7		26.34375	31
	15.824999999999998	18.3		25.624999999999996	33.3
يوليو	15.793750000000001	18.9		25.55	29.5
	15.981250000000001	19		26.162499999999998	31.7
	16.462500000000002	19.3		26.18125	34.8
	16.368750000000002	19.4		25.625	29.8
	16.900000000000002	17.7		27.75625	28
	17.425	13.9		28.0875	26.8
	17.175	14.2		26.849999999999998	25.3
	17	13.9		27.1375	24.4
	17.55	14.9		26.99375	22.3
	16.78125	12.9		26.66875	23.7
	16.89375	13.5		25.86875000000001	29.5
	16.5625	16.5		24.9375	32.1
	16.343749999999996	20.7		25.556249999999995	26.6
	17.2625	18		27.375000000000004	30.1
	17.4625	17.9		26.612500000000004	34.6
	16.937499999999996	20.1		25.15	36.1
	17.0375	21.1		26.41875	37.8
	16.88125	21.3		27.243750000000002	34.4
	17.6625	19.7		27.287499999999998	30
	17.312499999999996	21		27.456250000000004	37.4
	17.36875	22.2		26.6625	38.7
	17.21875	23.5		26.674999999999997	38.8
	16.93125	22.3		25.025000000000002	35.5
	16.743750000000002	21.2		26.7625	32
	17.375	20.3		27.15	30.9
	17.212500000000002		18.2	27.968749999999996		33.6
	16.9125		20.8	27.518750000000004		35.7
	16.11875		22.5	26.3125		32.6
	16.056250000000002		17.2	26.34375		30.5
	16.674999999999997		16.7	26.96875		31.2
	17.006249999999998		16.5	26.812499999999996		31.8
أغسطس	17.412499999999998		18.6	28.04375		35
	16.5875		21.5	26.6875		37.6
	16.2625		16.5	26.21875		26.1
	16.906249999999996		16.6	26.9625		26.9
	16.8875		16.9	26.30625		26.4
	16.60625		16.6	25.14375		26.1
	16.193749999999998		16.5	25.6875		25.3
	16.3		16.2	25.65625		25.8
	16.418750000000003		16.1	25.6625		25.5
	16.337500000000002		16.4	25.856249999999996		25.9
	16.349999999999998		16.1	25.581249999999997		25.3
	16.275		15.8	26.1625		25.8
	15.406249999999998		15.6	25.593749999999996		25.7
	15.281249999999998		15.4	24.5625		25.7
	15.3		15.7	25.431250000000002		25
	15.887499999999998		15.5	24.3625		24.2
	15.456249999999999		14.7	24.7625		23.8
	14.91875		14.6	22.956249999999997		22.7
	13.624999999999998		13.9	21.51875		22.5
	14.275000000000002		14.6	22.693750000000005		23.2
	14.46875		14.6	23.712500000000002		23.7
	14.45625		14.1	23.98125		23.1
	13.949999999999996		13.5	23.056250000000002		21.6
	13.73125		13.2	21.925		22.6
	13.65625		13.7	22.875		23.1
	13.6			23.006249999999998
	13.31875			23.312500000000004
	14.30625			22.649999999999995
	14.268749999999999			23.15
	13.456249999999999			23.218749999999996
	13.456249999999997			21.10625
سبتمبر	13.331249999999999			21.98125
	13.806249999999999			21.075000000000003
	12.843749999999998			19.9875
	12.16875			20.106250000000003
	11.843749999999998			18.96875
	10.99375			19.11875
	11.325000000000001			19.8125
	10.61875			18.78125
	10.4875			18.562500000000004
	10.774999999999999			18.706249999999997
	11.19375			18.675
	11.125			18.693749999999998
	10.856249999999998			19.087500000000002
	10.631250000000001			18.725
	9.781250000000002			17.2625
	9.562500000000002			16.875000000000004
	9.193750000000001			17.325000000000003
	9.53125			17.68125
	9.624999999999998			17.156249999999996
	9.875			17.656250000000004
	9.525			17.131249999999998
	9.331249999999999			15.656249999999998
	9.1125			15.912500000000001
	8.425			15.462500000000006
	8.1875			15.493749999999999
	8.412500000000001			16.375
	9.231249999999998			17.15625
	8.19375			15.8625
	8.031250000000002			14.7875
	8.13125			14.96875
أكتوبر	7.93125			14.937500000000002
	8.268749999999999			15.081249999999999
	7.456250000000001			14.28125
	7.15625			14.293750000000001
	7.1937500000000005			14.381250000000001
	7.843749999999999			14.912499999999998
	7.668749999999999			14.85625
	6.768750000000001			13.7625
	7.531249999999999			14.518750000000002
	7.537499999999999			13.812500000000002
	7.6499999999999995			14.5
	7.575			14.8375
	7.64375			13.812499999999998
	6.7125			13.28125
	6.18125			13.3125
	6.393750000000001			12.575
	5.61875			13.012500000000001
	6.687500000000001			13.85
	6.4125			13.41875
	5.84375			13.325
	6.0625			13.35625
	6.30625			12.837499999999999
	6.0625			12.518749999999999
	5.8062499999999995			12.462499999999999
	5.45			11.8625
	4.875			11.40625
	5.06875			11.350000000000001
	4.76875			10.46875
	4.65625			10.225
	4.0625			9.612500000000002
	3.975			9.162499999999998
نوفمبر	4.06875			9.181249999999999
	4.2			9.73125
	3.5124999999999997			8.90625
	3.2312499999999997			9.037500000000001
	3.28125			8.674999999999999
	3.4			8.225
	2.9125			7.587499999999999
	2.6187499999999995			7.512499999999999
	1.6312499999999999			6.768749999999999
	1.6187500000000001			6.737500000000001
	1.21875			5.981250000000001
	1.1125000000000003			5.4437500000000005
	0.3062499999999999			5.275
	0.5625			5.7562500000000005
	0.4			5.200000000000001
	0.09999999999999998			4.2875
	0.006250000000000061			4.512499999999999
	-0.6125			3.4999999999999996
	-1.0687500000000003			3.375
	-1.2312499999999997			4.218750000000001
	-0.71875			4.4624999999999995
	-0.06874999999999981			4.7875000000000005
	0.0625			5.6875
	0.23125			5.09375
	0.3749999999999999			4.4937499999999995
	0.025000000000000022			4.456250000000001
	0.15624999999999997			5.18125
	0.30625			4.9625
	-0.6625			4.43125
	-0.7499999999999999			3.95
ديسمبر	-0.25625			4.3
	-0.056249999999999856			4.2124999999999995
	-0.024999999999999828			4.512500000000001
	-0.16875000000000007			4.706250000000001
	-0.12500000000000044			4.9875
	-0.14999999999999986			4.5125
	-0.04999999999999985			4.50625
	0.38125			5.150000000000001
	1.25			6.0062500000000005
	1.8687500000000001			7.36875
	1.775			7.025
	1.1375000000000002			5.3812500000000005
	0.3062500000000001			6.075
	-0.6749999999999999			4.956249999999999
	-1.1			3.7312499999999997
	-1.44375			4.40625
	-0.8466666666666661			5.286666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

39°C

أعلى درجة حرارة

28 يونيو 26

-7°C

أدنى درجة حرارة

11 يناير 26

التفصيل الموسمي

أحر شهرأغسطس34.71°C

أبرد شهريناير-2.26°C

أكثر شهر أمطارًايونيو2.22mm

أكثر شهر رياحًايوليو21.43km/h

Modling 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 Modling تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Modling، مع متوسط درجات حرارة قصوى تبلغ حوالي 27°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 39°C في 2026-06-28.

2. ما هو أبرد شهر في Modling تاريخيًا?

يناير هو أبرد شهر في Modling، مع متوسط درجات حرارة دنيا تبلغ حوالي -2°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -18°C في 2012-02-11.

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

يبلغ متوسط هطول الأمطار السنوي في Modling تقريبًا 656.005mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Modling تاريخيًا حوالي 183.1 يوم مطر سنويًا. يشهد سبتمبر أكبر عدد من أيام الأمطار بمتوسط 14.5 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Modling هي 39°C في 2026-06-28.

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

أدنى درجة حرارة مسجلة على الإطلاق في Modling هي -18°C في 2012-02-11.

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

تشهد Modling أقوى رياحها خلال فبراير. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 51.9 كم/ساعة في 2017-10-29.

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

عادةً، تبلغ رطوبة Modling ذروتها في يناير بحوالي 81.7% وتنخفض إلى أدنى مستوياتها في أغسطس بحوالي 60.9%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Modling السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Modling 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

Modling السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Modling 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

Modling السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا