Shimla السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Shimla رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	0.75	3.8		12.73125	16.2
	0.38125000000000003	1.5		12.556249999999999	15.8
	0.95625	2.1		12.6125	15.8
	0.8625	1.2		12.543750000000001	15.5
	0.9437499999999999	1		11.65	16.1
	0.15000000000000002	1		10.89375	15.3
	-0.4187499999999999	-0.5		10.843749999999998	14.5
	0.1374999999999999	-0.5		11.024999999999999	16.2
	-0.42499999999999993	-0.7		11.300000000000002	15
	-1.0375	0.2		12.2375	15.8
	-0.8562499999999998	0.6		12.412500000000001	13.5
	0.26875000000000004	3.6		12.299999999999999	14.9
	0.39375000000000004	3.4		11.312500000000002	17.6
	-0.5125	3.3		11.724999999999998	18.6
يناير	0.32500000000000007	2.5		12.1625	19.1
	-0.21250000000000002	5.4		11.374999999999998	21.8
	0.26875000000000004	6.5		11.100000000000001	17
	-0.15000000000000002	9.1		10.96875	13.8
	0.04999999999999999	7.1		11.924999999999999	14.7
	-0.3437499999999999	6.7		11.6	14.1
	-0.3375	6		12.03125	14.7
	0.006250000000000075	6.8		11.237499999999999	15.5
	-0.325	0.1		10.749999999999998	9.7
	-0.8187499999999999	1.6		11.14375	5.6
	-0.975	3		10.9875	9.3
	-0.8249999999999997	6.5		11.18125	14.2
	-1.6312499999999999	4.8		11.500000000000004	13.3
	-0.54375	1		12.506250000000001	8.3
	0.11250000000000007	5.7		11.693749999999998	12.5
	-0.6812499999999999	7.2		12.15	14.9
	-0.3749999999999999	8.9		12.518749999999999	14
	-0.11249999999999995	8.5		12.393749999999999	12.9
	0.04999999999999999	6.8		13.393750000000002	12.5
	1.0125	6.1		13.112499999999999	11.8
	1.125	6.2		12.28125	12.6
	0.6937499999999996	5		11.40625	14.2
	0.19374999999999992	6.7		11.418750000000001	15.3
	0.29375	7.7		11.524999999999999	14.2
	0.04375000000000001	6		11.962500000000002	14.7
	-0.7812500000000004	8.7		12.174999999999999	14.1
	-0.29375	8.7		12.587499999999999	15.2
	0.1875	7.9		13.16875	15.3
	1.025	7.1		13.225000000000001	16.4
	1.6812500000000001	9.2		13.450000000000001	16.7
	1.625	8.8		13.625000000000002	16.4
فبراير	1.5	8.3		13.418750000000001	16.6
	2.05625	8.4		13.456250000000002	17
	1.8687500000000001	9.4		14.187500000000002	16.8
	2.05625	11.3		15.11875	16.5
	3.1562500000000004	11.6		14.624999999999998	18.3
	2.9562500000000003	10.4		14.41875	18.6
	1.9687499999999998	10.2		14.462500000000002	18.4
	2.5875	9.6		14.975000000000001	17.2
	2.6437500000000003	9.9		14.5625	17.3
	2.65625	9.5		14.9375	17.6
	2.24375	9.4		14.74375	17.6
	3.1500000000000004	8.9		14.91875	17.5
	2.88125	9.9		13.98125	18.5
	2.4062499999999996	10.3		14.912500000000001	18.2
	3.0375	10		14.512500000000001	18.9
	3.26875	9.3		15.231250000000003	19.2
	3.5625	10.9		14.975	22.3
	3.625	13.3		15.075000000000001	24
	2.6874999999999996	15.4		15.375000000000002	25.7
	3.5812500000000003	15.5		15.881250000000001	26
	3.8499999999999996	15.2		15.9625	25.1
	3.8375	15.1		15.649999999999999	24.7
	3.56875	15.2		16.125000000000004	25.6
	3.8499999999999996	15.1		16.6625	23.9
	4.15	16		17.1	24.2
	4.293749999999999	15		17.08125	23.9
	5.224999999999999	14.7		17.825000000000003	23.3
	4.95625	14.2		17.28125	22.2
مارس	4.7	8.1		17.33125	21.3
	4.975	6.9		18.10625	18.2
	5.374999999999999	9.1		18.756249999999998	17.5
	5.8625	6.7		18.725	15.6
	6.168749999999999	8.7		19.05625	14.7
	6.393749999999999	3.3		19.4375	11.4
	6.2250000000000005	5.6		18.9875	15
	6.14375	9.5		19.3125	17.3
	6.75	11.2		19.84375	18
	7.175000000000001	11.5		20.1	18.6
	7.25625	11.7		20.018749999999997	19.9
	7.425000000000001	14.1		21.49375	20.5
	8.48125	14		21.424999999999997	20.8
	8.94375	13.2		21.281250000000007	20.2
	8.79375	11.1		21.374999999999996	20.1
	8.524999999999999	14.4		21.562500000000004	21.4
	7.818749999999999	14.1		21.306250000000002	21.3
	7.725	13.4		20.775	21.7
	8.037500000000001	15.7		20.812500000000004	22.8
	8.3625	13.4		20.693749999999998	22.8
	7.85625	13.1		21.40625	17
	8.20625	12.3		21.2875	17.9
	8.8375	11.6		21.337500000000002	19.1
	8.59375	7.8		20.9875	18.9
	8.4375	6.2		21.40625	13.8
	8.58125	8.3		21.91875	15.4
	8.94375	9.2		22.037499999999998	17.9
	9.08125	11.5		22.7375	18.9
	9.568750000000001	11.8		21.675	19.8
	9.131250000000001	12.1		22.49375	22.4
	10.031250000000002	13.5		22.881249999999998	22.9
أبريل	10.406249999999998	13.5		23.275000000000002	23.3
	10.4625	14.6		22.5625	24.9
	9.975	17.6		22.25	25.6
	10.3375	16.9		22.400000000000002	26.7
	10.0625	15.5		22.25	26.2
	9.64375	14.8		22.387500000000003	26.1
	9.493750000000002	16.7		22.2875	26.2
	9.64375	17.3		22.1875	27.6
	9.55	18.5		22.143750000000004	28.2
	9.443749999999998	18.7		22.818749999999998	28.9
	9.94375	20.2		23.587500000000002	29.2
	10.69375	19.6		23.675	29
	11.06875	18.9		23.775	28.9
	11.30625	14.4		23.96875	28
	11.556250000000004	15.9		24.724999999999998	24
	11.262499999999998	15		24.193749999999998	24.5
	11.05	15.3		23.3875	24.4
	10.843750000000002	16.7		23.362500000000004	26.2
	11.112500000000002	13.1		23.487500000000004	27.8
	11.4375	13.4		24.049999999999997	24
	12.006249999999998	12.9		23.43125	21.8
	12	14		23.65	21.2
	11.687499999999998	15.3		23.706249999999997	21.3
	11.950000000000001	16.1		24.30625	24.2
	11.79375	15.4		24.881249999999998	25.4
	12.612499999999999	17.7		25.312499999999996	26.8
	12.86875	19		24.975	27.2
	12.968750000000002	18.3		24.25	27.1
	12.38125	18.2		24.624999999999996	28.8
	12.44375	18.6		24.587500000000002	29.8
مايو	12.506250000000001	19.6		25.750000000000004	28.1
	13.175	19.2		26.13125	29.6
	13.343749999999996	19.5		26.01875	30
	13.831249999999997	20.1		25.937500000000004	32.3
	13.68125	22.1		26.38125	32.8
	13.499999999999998	22.3		26.474999999999998	33
	13.768749999999999	21.8		26.95	32.7
	13.912500000000001	19.3		27.1	32
	14.31875	19.2		26.950000000000003	30
	14.31875	19.4		26.20625	31.9
	14.375000000000002	20.2		26.712500000000002	32.7
	14.30625	19.7		27.21875	31.6
	14.76875	19.4		27.437500000000004	32.3
	14.63125	18.3		27.4	32.9
	14.7875	15.4		26.96875	30
	14.725000000000001	12.1		26.487499999999997	27.2
	14.418750000000003	13.4		26.275	24.5
	14.174999999999997	16.6		26.19375	26.2
	14.299999999999999	18.2		25.73125	27.8
	14.625	21.2		26.674999999999997	27.4
	15.212499999999999	18.1		27.21875	27.7
	15.35625	18		27.1	22.8
	15.681250000000002	18.2		26.8625	27.8
	15.087499999999999	20.1		26.4	29.4
	15.8125	20.7		26.637500000000003	30.1
	16.056250000000002	21.1		27.143749999999997	31.4
	16.362499999999997	21.7		27.3125	32.2
	16.475	14.6		27.668750000000003	32.6
	16.38125	19		27.5625	26.1
	16.5	18.8		27.34375	25.7
	16.525000000000002	19		27.368750000000002	27.2
يونيو	16.96875	19.3		27.00625	27.8
	16.60625	18.8		25.681250000000002	27.4
	16.212500000000002	20		25.6875	28.5
	16.16875	17.7		26.131249999999994	26.4
	15.925	19		26.212500000000002	26.4
	16.487499999999997	21.3		26.187500000000004	28.5
	16.19375	21.2		25.7875	30.1
	16.543750000000003	20.5		26.318749999999998	26.9
	16.90625	20		26.206249999999997	28
	17.31875	21		26.093749999999996	28.6
	17.468749999999996	21.4		25.3875	29.4
	16.831249999999997	21.9		25.475000000000005	30.5
	17.049999999999997	22.6		25.6625	30.9
	17.2625	23.1		25.356249999999996	30.1
	17.325000000000003	23.7		25.193749999999998	31.2
	17.2875	25.3		25.1875	32.2
	17.325000000000003	23		24.875	29.7
	17.35625	18.8		25.15	25
	17.099999999999998	21.1		24.525	27.7
	17.2625	21.2		24.78125	27.7
	17.43125	21.7		24.5375	27.3
	17.025	21.2		24.2125	24.2
	16.987500000000004	20.4		24.30625	24.3
	17.125000000000004	19.6		24.25	23.9
	17.2	17.5		24.19375	22.1
	17.218749999999996	16.9		23.987500000000004	26.2
	17.16875	20.6		24.181250000000006	26.1
	17.1875	20.9		23.543750000000003	26.9
	16.9625	20.2		24.206249999999997	27.8
	16.90625	21.4		24.34375	28.2
يوليو	17.1125	21.6		24.418750000000003	27.8
	17.418749999999996	22.7		24.443749999999994	28.9
	17.475	22.1		23.931250000000006	27.5
	17.575	21.7		23.749999999999996	26.3
	17.50625	21.5		24.212500000000006	27.3
	17.69375	18.2		24.337500000000006	22.5
	17.25	16.4		24.143749999999997	22
	17.412499999999998	17.9		23.424999999999994	22.3
	17.55625	18.1		24.112500000000004	22.7
	17.375000000000004	17.5		24.39375	22.6
	17.3	19.6		24.30625	23
	17.43125	19.6		23.931250000000002	23.4
	17.09375	20.5		23.275	24.1
	17.19375	20.4		23.7	23.1
	17.287499999999998	19.9		23.58125	24.3
	17.20625	19.4		23.96875	23.1
	17.23125	19.3		23.3875	22.5
	17.075000000000003	19		23.756249999999998	23.1
	16.76875	19.4		23.675	23.3
	17.15	19.7		24.231250000000003	23.3
	17.256249999999998	19.8		24.325000000000003	22.8
	17.275	19.4		24.000000000000004	23
	17.068749999999998	17.6		24.343749999999996	24.2
	17.131249999999998	17.7		23.818750000000005	21.8
	17.40625	18.7		23.650000000000002	22.8
	17.243750000000002	19.2		24.075	23.2
	17.025000000000002	19.1		24.2625	22.5
	16.99375	19.1		23.656250000000004	22.2
	17.043750000000003	20.3		23.575	25.9
	17.11875	20.2		23.68125	24.3
	17.025	20.3		23.237500000000004	23.7
أغسطس	16.418750000000003	19.4		23.650000000000002	22.6
	16.406249999999996	20.1		24.025000000000002	24.2
	16.16875		14.7	24.231250000000003		16.2
	16.05625		14.9	24.06875		16.5
	16.493750000000006		14.7	23.93125		16.5
	16.49375		15.7	23.44375		17.1
	16.206249999999997		14.1	23.881249999999998		17.4
	16.243750000000002		15.1	23.24375		17.6
	16.25		14.2	23.718749999999996		14.9
	15.924999999999999		14.3	23.46875		16
	15.918750000000001		16	23.7875		23.8
	15.89375		15.9	23.818749999999994		24
	15.887500000000001		15.9	24.05		23.8
	16.012500000000003		15.8	23.631249999999998		23.9
	15.725		15.7	23.89375		23.7
	15.631249999999998		15.7	23.85625		23.8
	15.59375		15.8	23.93125		24.3
	15.7875		15.6	23.568749999999998		23.2
	15.606250000000001		15.6	23.2875		23.1
	15.537500000000003		15.4	23.343749999999996		23.1
	15.26875		15.1	22.993749999999995		22.9
	15.05		15	23.575		23.5
	15.181250000000002		14.9	23.5875		23.6
	15.075000000000001		15	23.543750000000003		23.7
	15.168750000000001		15.1	23.362499999999994		23.5
	15.168749999999998		15.1	23.743749999999995		23.7
	14.88125		14.8	23.756249999999998		23.2
	14.8		14.9	23.631249999999998		23.6
	14.7625		14.6	23.368750000000002		23
	14.825000000000003		14.6	23.425		23.1
	14.36875		14.2	23.4		23.7
سبتمبر	13.956249999999999		13.9	23.51875		23.7
	13.906249999999998		13.9	23.387499999999996		23.5
	13.862499999999999			23.45
	13.618750000000002			23.531250000000004
	13.8125			23.1125
	14.018750000000002			23.924999999999997
	13.768749999999999			23.518750000000004
	13.98125			22.5375
	13.499999999999998			22.275000000000002
	13.43125			22.487499999999997
	12.9125			22.849999999999998
	12.481249999999998			23.11875
	12.568749999999998			22.768749999999997
	12.43125			22.512500000000003
	12.3875			22.59375
	12.45625			22.843749999999996
	12.406250000000002			23.187499999999996
	12.41875			23.26875
	12.275			22.981250000000003
	12.431250000000002			22.724999999999998
	11.887499999999998			22.806250000000006
	11.61875			22.212500000000002
	11.775			21.95625
	11.60625			22.249999999999996
	11.175			21.66875
	10.875000000000002			21.724999999999998
	10.543750000000001			21.193750000000005
	10.38125			21.800000000000004
	10.393749999999999			21.637499999999996
	10.350000000000001			21.55625
أكتوبر	9.949999999999998			21.6875
	10.218750000000002			21.2
	9.98125			20.76875
	9.63125			20.549999999999997
	9.5			21.14375
	9.481249999999998			20.681250000000002
	9.24375			20.525
	8.75			20.131249999999994
	8.4625			19.89375
	8.325000000000001			19.83125
	8.306249999999999			19.70625
	8.16875			19.49375
	8.0375			19.33125
	7.774999999999999			19.650000000000002
	8.06875			19.93125
	8.2375			19.7375
	8.118750000000002			19.69375
	7.787499999999999			19.65
	7.999999999999999			19.25
	7.4625			18.731250000000003
	7.374999999999999			19.03125
	7.13125			19.04375
	7.0375			18.8
	6.993750000000001			18.3
	6.925000000000001			18.424999999999997
	6.843749999999999			18.6125
	6.625000000000001			18.556250000000002
	6.2250000000000005			18.31875
	6.1000000000000005			18.368750000000002
	6.1125			18.125
	5.83125			17.525
نوفمبر	5.675			17.4125
	5.4875			17.525
	5.0562499999999995			17.556249999999995
	5.293749999999999			17.968749999999996
	5.325000000000001			17.58125
	4.981249999999999			17.425
	4.95625			17.8125
	5.156250000000001			17.41875
	4.8125			17.743750000000002
	4.9			17.8375
	5.44375			17.818749999999998
	5.281249999999999			17.21875
	4.75			16.25625
	4.4875			16.73125
	4.7437499999999995			17.2875
	4.581250000000001			16.956249999999997
	3.8875			16.96875
	4.475			16.65625
	4.362500000000001			16.63125
	4.11875			16.61875
	3.91875			16.51875
	3.8125			16.89375
	3.8062500000000004			16.7375
	3.8687499999999995			16.7875
	3.8374999999999995			15.625
	3.66875			15.056249999999999
	2.86875			14.543750000000001
	3.05625			13.743749999999999
	2.3625			12.875
	1.7625000000000002			13.525000000000002
ديسمبر	1.5437500000000002			13.856249999999998
	1.4687499999999998			14.5875
	1.50625			14.01875
	0.925			14.481250000000001
	1.525			15.0375
	1.8937499999999998			15.056249999999999
	1.94375			14.800000000000004
	1.9			14.50625
	1.58125			14.50625
	1.1875			13.55625
	1.0687499999999999			13.55625
	1.2875			13.318750000000001
	1.4125			13.8375
	1.1875			13.956249999999999
	1.3375			13.31875
	1.5812500000000003			12.9375
	0.5666666666666667			12.7

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

33°C

أعلى درجة حرارة

20 مايو 26

-1°C

أدنى درجة حرارة

9 يناير 26

التفصيل الموسمي

أحر شهريونيو28.58°C

أبرد شهريناير3.51°C

أكثر شهر أمطارًايوليو11.5mm

أكثر شهر رياحًامايو18.35km/h

Shimla 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 Shimla تاريخيًا?

يونيو هو تاريخيًا أحر شهر في Shimla، مع متوسط درجات حرارة قصوى تبلغ حوالي 26°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 38°C في 2024-05-31.

2. ما هو أبرد شهر في Shimla تاريخيًا?

يناير هو أبرد شهر في Shimla، مع متوسط درجات حرارة دنيا تبلغ حوالي 0°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -9°C في 2012-01-11.

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

يبلغ متوسط هطول الأمطار السنوي في Shimla تقريبًا 1787.4mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Shimla تاريخيًا حوالي 222.5 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 30.5 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Shimla هي 38°C في 2024-05-31.

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

أدنى درجة حرارة مسجلة على الإطلاق في Shimla هي -9°C في 2012-01-11.

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

تشهد Shimla أقوى رياحها خلال مايو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 29.9 كم/ساعة في 2026-05-26.

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

عادةً، تبلغ رطوبة Shimla ذروتها في أغسطس بحوالي 85.3% وتنخفض إلى أدنى مستوياتها في مايو بحوالي 37.1%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Shimla السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Shimla 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

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World Top Hottest Cities Belong to India - April 2026

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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

Shimla السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Shimla 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

Shimla السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا