Thiruvananthapuram السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Thiruvananthapuram رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	23.1125	22.3		30.693749999999998	30.4
	22.962500000000002	22.8		30.843750000000004	29.1
	23.23125	22.5		30.8875	31.4
	23.400000000000002	22.3		30.731250000000003	31.7
	23.0125	20.9		30.4375	30.9
	23.05625	21.3		30.60625	31.3
	23.15625	21.2		30.106249999999996	31.5
	23.45625	20		29.775	30.7
	23.29375	20.1		30.34375	30.2
	23.062500000000004	21.4		29.987499999999997	30.6
	22.887500000000003	22.9		30.65625	30.6
	22.875000000000004	21.9		30.5625	31.7
	22.718750000000004	22.8		30.487499999999997	32.2
	22.556250000000002	22.6		30.81875	31.3
يناير	22.5875	22.1		30.79375	31
	22.4625	21.6		31.025	31.5
	22.831249999999997	21.8		31.04375	30.8
	22.45625	20.8		31.300000000000004	30.5
	22.5125	21.6		30.949999999999996	29.2
	22.762500000000003	21.8		30.95	30.4
	22.6875	20.3		31.156250000000004	30.6
	22.85625	20		31.243750000000002	30.5
	22.98125	20.2		31.081249999999997	30.1
	22.85625	19.9		31.199999999999992	30.4
	23	24.1		30.924999999999997	31.5
	22.75625	23.4		31.249999999999996	31.2
	22.718749999999996	22.2		30.843750000000004	31.9
	22.5875	22.2		30.875	31.6
	22.85625	21.1		31.362500000000004	31.4
	23.275	20.9		31.481250000000003	31.4
	23.193749999999998	20.2		31.5125	30.9
	23.325000000000006	22		31.543750000000003	30.4
	22.65	23.2		31.525	31.2
	22.725	22		31.374999999999996	31
	22.9125	21.5		31.45	31.8
	22.999999999999993	21.3		31.349999999999998	31
	23.099999999999998	22.8		31.425000000000008	31.4
	22.8875	21.9		31.3625	31.1
	23.0125	22.1		31.30625	30.7
	22.943749999999998	22.1		31.11875	30.5
	23.225	22.5		31.262500000000003	30.5
	22.925000000000004	21.1		31.668750000000006	30.6
	22.918750000000003	20.7		31.424999999999997	30.3
	23.075	21.4		31.643750000000004	30.3
	23.081249999999997	22.4		31.318749999999998	32
فبراير	23.44375	23		31.26875	31.6
	23.43125	22.9		31.54375	31.3
	23.4375	22.5		31.493749999999995	30.8
	23.4375	22.5		31.6	30.9
	23.281250000000004	21.8		31.631249999999998	31.2
	23.612500000000004	23.1		31.649999999999995	31.9
	23.6375	24.9		31.856250000000003	30.6
	23.668750000000003	24.2		32.387499999999996	30.1
	23.318749999999998	23.8		32.20625	31.1
	23.481250000000003	23.9		32.075	30.7
	23.6375	23.5		31.89375	30.1
	23.75	23.5		32.1125	31.2
	23.9625	23.5		32.318749999999994	30.9
	23.76875	24		32.225	30.3
	24.23125	23.2		32	30.5
	24.012499999999996	23		32.4125	30.3
	23.95	23.5		32.00000000000001	31
	24.093749999999996	21.6		31.55625	30.1
	24.29375	22.8		31.650000000000006	30.5
	24.493749999999995	23.3		31.593749999999996	31.2
	24.51875	24.6		31.943749999999998	31.1
	24.418749999999996	23.9		31.81875000000001	31.8
	24.625	23.7		31.987500000000004	31.1
	24.250000000000004	22.5		31.9375	32.1
	24.45	22.6		32.1625	31
	24.44375	23		32.08125	31.3
	24.45	23.4		31.79375	32.1
	24.69375	23.7		32.33125	31.4
مارس	24.675	23.5		32.125	31.4
	24.8375	23.8		31.84375	32
	25.075000000000003	24.2		32.012499999999996	31.7
	25.0125	23.8		31.887499999999996	30.5
	25.13125	23.5		31.68124999999999	31
	24.956249999999997	23.9		31.687500000000004	31.7
	25.081250000000004	24.6		32.106249999999996	31.2
	24.924999999999997	24.3		31.993750000000006	31.9
	25.099999999999998	24		31.79375	32.2
	25.337500000000002	24.2		31.899999999999995	32
	25.243750000000002	24.4		31.731250000000003	32.3
	24.7875	24.3		31.937500000000004	32.4
	25.193749999999994	24		32.0125	32.7
	25.212500000000002	25.3		31.85625	31.9
	25.40625	25.4		31.693749999999998	32.6
	25.5375	24.5		31.837499999999995	32.5
	25.493750000000002	24.4		31.73125	32.5
	25.41875	24.8		31.53125	31.9
	25.525	24.8		31.7625	31.6
	25.681249999999995	25.5		31.7125	32.1
	25.5125	26		31.449999999999996	31.5
	25.650000000000002	26.5		31.41875	32.1
	25.662499999999998	26.9		31.325	32.4
	25.812499999999996	26.5		31.83125	32.3
	25.831249999999997	24.9		31.381249999999998	31.9
	25.84375	25.5		31.406250000000004	32.3
	25.85625	24.9		31.474999999999998	32.7
	25.71875	25.5		31.456250000000004	32.1
	25.70625	25.4		31.56875	32.2
	25.98125	26		31.374999999999996	32.3
	25.799999999999997	26.4		31.150000000000002	32.5
أبريل	25.799999999999997	25.9		31.393749999999997	32.2
	25.95	25.9		31.34375	32.9
	25.95625	25.9		31.281250000000004	32.4
	25.975	25.7		31.356250000000003	32.6
	25.912499999999998	25.9		31.45625	32.2
	26.125	26.5		31.400000000000002	32.6
	26.000000000000004	26.9		31.23125	31.9
	26.15625	26.1		31.4625	31.9
	26.200000000000003	26.3		31.31875	32.3
	26.33125	26.2		31.58125	32.4
	26.300000000000004	26.4		31.4125	32.7
	26.375	25.8		31.38125	32.5
	26.3	26.3		31.593750000000007	32
	26.262500000000003	26.7		31.3625	32.4
	26.175	24.2		31.5125	32.2
	26.143750000000004	25.7		31.275000000000002	31.8
	26.16875	25.7		30.9875	31.6
	26.09375	26.8		31.162499999999998	31.5
	26.381249999999998	26.6		31.4	32.2
	26.36875	26.6		31.581249999999997	30.5
	26.3875	26.3		31.29375	31.6
	26.443750000000005	23.8		31.175	32.2
	26.20625	25.1		30.918750000000003	31.2
	26.01875	26		31.18125	32.4
	25.918749999999996	24.6		31.06875000000001	29.3
	26.1125	24.6		31.193749999999998	30.6
	25.850000000000005	24.8		30.874999999999996	31.1
	26.0125	26.5		30.893749999999997	31.4
	25.937500000000007	26.6		30.625000000000004	30.9
	25.8375	25.9		30.437500000000004	31.6
مايو	26.037500000000005	25.2		30.456249999999997	28.9
	25.85625	25		30.343750000000007	30.5
	25.768749999999997	25.9		30.506250000000005	30.1
	25.737499999999997	25.8		30.256249999999994	30.4
	25.71875	25.8		30.0125	28.9
	25.8375	25.4		29.9875	27.7
	25.80625	25.8		29.89375	30.2
	25.7	26.1		29.79375	30.3
	25.668749999999996	26		29.949999999999996	30.7
	25.83125	26.3		29.9875	31
	25.65625	26		29.674999999999997	30.2
	25.799999999999997	26.1		29.718749999999996	30.6
	25.775000000000002	25.9		30.11875	30.3
	25.9	25.9		29.981250000000003	29.9
	25.9125	25.4		29.799999999999994	29.7
	25.6125	25.9		29.6375	30.1
	25.456250000000004	25.9		29.35	30.4
	25.475	25.6		29.762499999999992	30.1
	25.518750000000004	25.6		29.5125	29.9
	25.50625	25.5		29.543750000000003	29.7
	25.412499999999998	26.1		29.625000000000007	28.3
	25.3875	26.3		29.7875	28.3
	25.45625	26		29.6375	28.9
	25.400000000000002	25.6		29.24375	28.1
	25.1125	25.8		29.0125	28.1
	25.14375	25.8		29.225000000000005	28.1
	25.381249999999998	25.2		29.15625	29.3
	25.3375	25.4		28.843750000000004	29.7
	25.281250000000004	25.5		28.650000000000002	29.7
	25.125	25		29.006249999999998	29.5
	24.962499999999995	24.7		29.031249999999996	29.4
يونيو	25.05625	25.3		28.949999999999996	29.7
	25.118750000000006	25.6		29.40625	29.8
	25.2625	25.9		29.0125	29.2
	25.131249999999998	25.3		28.9375	29.3
	24.943749999999998	24.9		28.868749999999995	29.5
	25.0875	24.9		29.000000000000004	29.8
	24.89375	25.5		28.975	29.6
	24.86875	24.4		28.831249999999997	28.1
	24.6625	25		28.868749999999995	29.3
	24.6125	25.3		28.843749999999996	29.7
	24.75625	25.4		28.71875	30
	24.8125	25.8		28.725000000000005	29.9
	24.8125	25.5		28.731250000000006	30.3
	24.6875	25.5		29.025000000000002	29.5
	24.96875	25.1		29.22499999999999	28.9
	24.89375	25.6		29.137500000000003	30.3
	25.04375	25.2		29.06875	29.2
	24.831250000000004	24.5		29.11875	29.8
	24.81875	25.1		28.98125	29.9
	24.956250000000004	25		29.118749999999995	29.2
	24.893749999999994	25.5		28.712500000000002	29.7
	24.85	25.3		29.131249999999998	29.7
	24.893749999999997	25.7		28.974999999999998	29.9
	24.7625	25.9		29.13125	30.7
	24.875	25.6		29.037499999999998	29.8
	24.837500000000002	25.1		28.525000000000002	29.4
	24.70625	24.9		28.6625	29.7
	24.756249999999998	25		28.925	29.7
	24.76875	25.3		28.731249999999996	30.9
	24.61875	25.1		28.756249999999994	30.3
يوليو	24.668750000000006	24.8		28.8125	29.9
	24.76875	24.6		28.425000000000004	29.7
	24.6625	24.5		28.6	30.1
	24.59375	24.1		28.64375	29.8
	24.474999999999998	24.4		28.1625	29.5
	24.5375	24.4		28.237500000000004	29.7
	24.474999999999998	24.1		28.79375	30
	24.506249999999998	24.5		28.75	30.2
	24.387500000000003	24.7		28.66875	30.5
	24.499999999999996	24.5		28.6	31
	24.425	24.9		28.55625	30.4
	24.325	24.8		28.5125	30.4
	24.431250000000002	25.1		28.581250000000004	30
	24.3375	24.9		29.018750000000004	30
	24.537499999999998	25.3		29	30.1
	24.4375	25.2		28.7125	29.6
	24.431250000000002	25.2		28.86875	30
	24.393749999999997	24		28.656250000000004	28.4
	24.506249999999998	23.9		28.69374999999999	28.3
	24.2125	24.2		28.49375	26.6
	24.250000000000004	23.9		28.00625	28.6
	24.475	24.2		28.174999999999997	29
	24.25625	24.4		28.53125	28.8
	24.2375	24		28.525	28.3
	24.375000000000004	23.8		28.425000000000004	28.3
	24.375	23.6		28.73125	28.9
	24.206250000000004	23.9		28.393749999999997	28.9
	24.168750000000003	24.1		28.612500000000004	28.9
	24.30625	24.2		28.568750000000005	29.1
	24.38125	24.1		28.743750000000002	28.8
	24.3875		24.2	28.825000000000006		28.8
أغسطس	24.23125		23.9	28.725		30
	24.25		23.8	28.6		29.3
	24.262500000000003		23.2	28.424999999999997		30.9
	24.324999999999996		23.5	28.543750000000003		30.8
	24.206250000000004		23.9	28.75625		31
	24.3625		24.2	29.1		30.1
	24.349999999999998		23.7	28.825		30.4
	24.2625		24.2	28.71875		28.8
	24.237499999999994		24.3	28.450000000000003		28.6
	24.2875		24.2	28.85625		28.8
	24.243750000000002		24.2	28.9375		29.1
	24.3375		24.3	28.84375		28.8
	24.143750000000004		24.1	28.568750000000005		28.4
	24.231250000000003		24.1	28.468750000000004		28.6
	24.150000000000002		24.1	28.40625		28.4
	24.225		24.1	28.225		28.2
	24.199999999999996		24.2	28.781250000000004		28.9
	24.25		24.2	28.6375		28.6
	24.28125		24.2	28.70625		28.4
	24.075000000000003		24	28.3125		28.4
	24.125000000000004		24.2	28.425		28.4
	24.06875		24	28.45625		28.4
	23.99375		23.9	28.53125		28.2
	24.093750000000004		24	28.368750000000002		28.4
	24.025000000000002		23.9	28.981249999999996		28.9
	24.062499999999996		24.1	29.093749999999996		28.8
	24.23125		24.2	28.818750000000005		29
	24.1625		24.2	28.80625		28.9
	24.231250000000003		24.1	28.85		28.9
	24.3		24.3	28.881249999999998		29
	24.20625			28.9375
سبتمبر	24.224999999999998			29.025
	24.325			28.906249999999993
	24.249999999999996			28.912500000000005
	24.2125			29.043749999999996
	24.262500000000003			28.90625
	24.25625			29.13125
	24.13125			29.49375
	24.156249999999996			29.362499999999997
	24.256249999999998			29.337500000000002
	24.29375			29.156249999999996
	24.4875			29.14375
	24.493749999999995			29.412500000000005
	24.431250000000002			29.406249999999996
	24.518749999999997			29.25625
	24.325000000000003			29.01875
	24.33125			28.912499999999998
	24.39375			29.218750000000004
	24.39375			29.30624999999999
	24.418749999999996			29.381249999999994
	24.6			29.38125
	24.45625			29.0625
	24.418750000000006			29.074999999999996
	24.474999999999998			29.16875
	24.36875			29.306250000000002
	24.368749999999995			29.400000000000002
	24.375000000000004			29.668750000000003
	24.61875			29.3125
	24.437499999999996			28.843750000000004
	24.4125			29.018750000000004
	24.5625			29.193749999999998
أكتوبر	24.51875			28.868750000000002
	24.35625			29.181250000000002
	24.5			28.85625
	24.381249999999998			28.500000000000007
	24.375			29.075
	24.643750000000004			28.762499999999996
	24.425			28.575
	24.3125			29.15
	24.45625			29.156249999999996
	24.31875			29.09375
	24.4125			29.05625
	24.25625			29.387499999999996
	24.387499999999996			29.35
	24.387500000000003			29.40625
	24.375			29.349999999999998
	24.34375			28.849999999999998
	24.331249999999997			29.293750000000003
	24.262499999999996			29.106250000000003
	24.349999999999998			28.993750000000006
	24.400000000000002			29.35
	24.381250000000005			29.35
	24.4			29.212500000000002
	24.2625			29.5875
	24.325			29.425
	24.168750000000003			29.40625
	24.193749999999998			29.187500000000004
	24.225			29.818749999999998
	24.33125			29.762499999999996
	24.218750000000004			29.6375
	24.375000000000004			29.431250000000002
	24.5375			29.4375
نوفمبر	24.243749999999995			29.787499999999998
	24.26875			29.50625
	24.399999999999995			29.312499999999996
	24.575			29.5875
	24.481249999999992			29.91875
	24.4375			29.725
	24.481250000000003			29.525000000000002
	24.225000000000005			29.568749999999994
	24.25			29.437500000000004
	24.143749999999997			29.381249999999998
	23.91875			29.024999999999995
	23.999999999999993			28.974999999999998
	24.150000000000002			29.106249999999996
	24.04375			29.2
	24.21875			29.543750000000003
	24.118750000000002			29.306250000000002
	24.04375			29.00625
	24.03125			29.16875
	24.15			29.224999999999998
	24.012499999999996			29.487499999999997
	24.168750000000003			29.581249999999994
	23.987499999999997			29.775000000000002
	24.34375			30.01875
	24.112499999999997			29.868749999999995
	24.16875			29.793750000000003
	24.049999999999997			30.156250000000004
	23.975000000000005			29.968749999999996
	23.9125			29.831250000000004
	23.64375			29.793750000000003
	23.475			30.075
ديسمبر	23.64375			30.099999999999998
	23.562500000000004			30.243749999999995
	23.287500000000005			30.268750000000004
	23.325			29.68125
	23.200000000000003			29.643750000000004
	23.150000000000006			29.38125
	23.387500000000003			30.325000000000006
	23.49375			30.299999999999997
	23.075000000000003			30.249999999999996
	23.031249999999996			29.91875
	22.9875			30.375000000000004
	23.1875			30.000000000000004
	23.112499999999997			30.3375
	23.2875			30.09375
	23.45625			30.11875
	23.425000000000004			30.643749999999997
	23.546666666666667			30.526666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

33°C

أعلى درجة حرارة

16 أبريل 26

20°C

أدنى درجة حرارة

24 يناير 26

التفصيل الموسمي

أحر شهرأبريل32.23°C

أبرد شهريناير21.59°C

أكثر شهر أمطارًايونيو14.79mm

أكثر شهر رياحًايوليو24.97km/h

Thiruvananthapuram 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 Thiruvananthapuram تاريخيًا?

مارس هو تاريخيًا أحر شهر في Thiruvananthapuram، مع متوسط درجات حرارة قصوى تبلغ حوالي 32°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 35°C في 2023-03-27.

2. ما هو أبرد شهر في Thiruvananthapuram تاريخيًا?

يناير هو أبرد شهر في Thiruvananthapuram، مع متوسط درجات حرارة دنيا تبلغ حوالي 23°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي 20°C في 2023-01-13.

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

يبلغ متوسط هطول الأمطار السنوي في Thiruvananthapuram تقريبًا 2151.8mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Thiruvananthapuram تاريخيًا حوالي 285.5 يوم مطر سنويًا. يشهد مايو أكبر عدد من أيام الأمطار بمتوسط 29.5 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Thiruvananthapuram هي 35°C في 2023-03-27.

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

أدنى درجة حرارة مسجلة على الإطلاق في Thiruvananthapuram هي 20°C في 2023-01-13.

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

تشهد Thiruvananthapuram أقوى رياحها خلال يوليو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 40.2 كم/ساعة في 2017-11-30.

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

عادةً، تبلغ رطوبة Thiruvananthapuram ذروتها في سبتمبر بحوالي 80.4% وتنخفض إلى أدنى مستوياتها في فبراير بحوالي 68.07%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Thiruvananthapuram السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Thiruvananthapuram 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

Thiruvananthapuram السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Thiruvananthapuram 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

Thiruvananthapuram السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا