Taipa السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Taipa رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	14.487499999999999	18.3		18.35625	21.1
	14.98125	15.1		18.61875	18.3
	15.281249999999998	13.9		19.525	16.3
	15.406249999999998	16.2		18.61875	18.2
	16.1	16.9		19.4375	21.2
	15.350000000000001	13.5		19.706250000000008	18.1
	15.225000000000001	13		18.775000000000002	17.1
	14.531250000000002	13.6		18.968750000000004	18
	14.300000000000002	14.9		17.8625	17.1
	15.01875	15.9		18.43125	19.6
	14.39375	17		18.068749999999998	18.5
	13.287499999999996	16.9		17.650000000000002	18.2
	13.912499999999998	17.6		17.5	22.1
	14.7625	18.3		18.83125	19.9
يناير	14.656250000000002	18.1		18.812499999999996	21
	14.512499999999998	18.6		18.856250000000003	21
	14.337499999999999	18.8		18.88125	21.3
	14.487499999999995	18.1		18.775	19.7
	15.14375	17.7		19.46875	19.7
	15.75625	17.5		19.74375	19.9
	15.35625	15.6		19.381250000000005	17.8
	14.375	14.8		19.2	16.7
	13.712499999999999	14		17.681250000000002	16.4
	13.981250000000001	15.8		17.80625	18.5
	14.14375	17.3		18.0875	19
	14.025	17.7		18.2375	19.6
	14.275	18.3		18.68125	21.9
	14.475	17.5		18.7875	18.9
	14.2125	17		18.04375	18.1
	14.256250000000003	17.5		18.59375	19.1
	15.025	18.6		18.724999999999998	20
	14.78125	16		19.45	18.1
	15.393749999999999	16.6		19.5125	19.8
	15.687500000000002	16.8		19.06875	18
	15.64375	17.8		19.3375	19.2
	15.687500000000002	18.1		19.387500000000003	21.3
	16.41875	19		20.1375	21.8
	16.025000000000002	18.3		20.206249999999997	21.5
	14.99375	15.5		18.925	19.3
	14.837500000000002	15.5		18.406249999999996	16.7
	14.987499999999997	16.5		18.799999999999997	19.1
	14.912500000000001	17.9		19.05	22.5
	14.825000000000001	18.3		19.156249999999996	19.6
	15.256250000000001	18.4		19.356249999999996	20.1
	15.762500000000001	18.6		19.731250000000003	21.5
فبراير	15.55625	19.7		19.687499999999996	22.4
	14.9625	20.3		19.38125	23
	15.612499999999999	18.7		18.831249999999997	20.6
	15.35	18.6		19.01875	20.3
	15.300000000000002	17.6		18.9	19.4
	15.8	18.8		19.487500000000004	21
	16.64375	19.7		19.89375	21.4
	16.4625	20.2		20.287500000000005	22.7
	16.21875	20.1		20.4125	21.4
	16.162499999999998	20.2		20.075000000000003	22.6
	16.724999999999998	20.7		20.36875	22.9
	16.60625	20.3		20.887500000000003	20.9
	17.31875	20.5		20.85625	22
	17.925	20		21.40625	21.7
	18.175000000000004	19.6		22.374999999999996	20.9
	17.906249999999996	20.6		21.575000000000003	22.9
	18.04375	17.6		20.925000000000004	21.5
	17.7625	17.5		21.900000000000002	20
	18.88125	18.5		22.44375	21.4
	18.462500000000002	19		21.875	22.3
	17.349999999999998	18.8		21.218750000000004	20
	16.6125	17.8		20.237499999999997	19.9
	16.575	18.4		20.256249999999998	21.1
	16.7125	16.9		20.718749999999996	19.1
	16.875	17.2		20.868750000000002	19.4
	17.46875	18.1		21.125000000000004	23.6
	18.4	17.6		22.14375	19.2
	18.718750000000004	17.4		22.20625	19.4
مارس	18.3	18.3		22.006249999999998	20.5
	18.368749999999995	19.2		21.656250000000004	21.2
	19.050000000000004	20.2		21.950000000000006	21.8
	19.54375	20.4		23.05625	23.2
	20.075000000000003	21.4		23.1	23.6
	20.075	20.9		23.906250000000007	21.7
	19.6125	21.1		23.50625	21.9
	19.412499999999998	20.9		22.687499999999996	22
	18.875	21.1		22.80625	23.3
	18.975	21.8		23.38125	23.6
	18.5	22.4		22.506249999999998	25
	18.737499999999997	22.2		22.5625	23.4
	19.349999999999998	22.8		22.85	24.2
	19.518749999999997	23		23.425	24.5
	20.2875	22.9		23.362499999999994	24.6
	20.806249999999995	23		23.24375	25.4
	20.725	23		23.68125	25.7
	19.999999999999996	22.5		24.099999999999998	25.7
	20.106250000000003	22.6		23.225	23.8
	20.5625	23.1		23.80625	25.6
	20.937500000000004	23.2		24.13125	25.8
	21.431250000000002	23.2		24.443750000000005	25.4
	20.54375	23.3		24.449999999999996	25.9
	19.9125	23.7		23.60625	26
	19.837500000000002	21.8		23.693749999999998	23.8
	20.375	23		23.95	25.3
	20.89375	23.3		24.337499999999995	26.4
	21.3	23.6		24.775	25.9
	21.2	24.1		24.99375	26.4
	21.4375	23.7		24.98125	26.4
	21.3375	24.2		25.368750000000002	26.7
أبريل	20.718749999999996	24.6		25.143749999999997	26.8
	21.131249999999998	24.2		24.675	26.2
	21.893749999999997	23.9		25.16875	26.5
	22.56875	25.3		25.4125	27.5
	22.65625	25.2		25.681250000000002	27.7
	22.968749999999996	24.9		26.10625	26.8
	22.91875	24.9		26.14375	27
	22.625000000000004	24.4		26.006249999999998	26.7
	22.862500000000004	22.1		25.856250000000003	27.8
	23.35	19.7		26.08125	22.2
	23.025	20.8		26.149999999999995	25.1
	22.700000000000003	23.3		25.937500000000004	25.4
	22.731250000000003	23.9		26.3375	25.5
	23.443749999999994	24.1		26.275000000000002	26.8
	23.212500000000002	21.5		26.675	26.6
	23.062499999999996	20		26.40625	24.4
	22.987499999999997	22.6		26.499999999999996	24.9
	23.26875	23.9		26.174999999999994	26.4
	23.51875	23.1		26.537499999999994	27.5
	23.937500000000004	20.3		26.625	23.4
	23.899999999999995	22.2		26.918749999999996	23.4
	24.4375	23.4		27.20625	25.7
	24.51875	24.3		27.150000000000002	26.5
	24.487499999999994	24.2		27.1	26.8
	24.831249999999997	23.5		27.562499999999996	24
	24.975000000000005	23.2		27.674999999999997	25
	24.462500000000002	23.7		27.55625	26.8
	24.806250000000002	24.6		27.66875	28.2
	25.1375	25.3		27.799999999999997	28.1
	25.293749999999996	25.9		27.94375	28.5
مايو	25.343750000000004	24.4		27.9875	27.3
	25.224999999999998	23.6		28.050000000000004	24.9
	25.049999999999997	24.2		28.2125	26.4
	25.787499999999998	25		28.23125	26.8
	25.718749999999996	25.3		28.3625	25.8
	25.8375	25		28.85625	26.1
	26.106249999999996	26.1		28.693749999999998	27
	26.15	26.2		28.60625	28.5
	25.650000000000002	26.2		28.412500000000005	28.8
	25.293750000000003	26.7		28.068749999999998	29.3
	25.437500000000004	26.8		28.337499999999995	29.2
	25.9625	27.1		28.88125	29.7
	26.274999999999995	26.9		29.0875	30.2
	26.756249999999994	27		29.6	30.4
	26.543750000000003	27.2		29.35	31.5
	26.7	26.9		29.087500000000002	29.1
	26.48125	25.9		29.618749999999995	27.8
	26.525000000000002	27.1		29.5625	29.3
	26.718749999999993	27.2		29.756249999999998	30.3
	26.84375	27.8		30.025	30.4
	27.075000000000003	28.1		29.506249999999998	31.5
	26.637500000000003	28.2		29.36875	32.5
	26.61875	29		29.31875	31.7
	26.83125	29		29.33125	31.5
	27.000000000000004	28.8		29.568749999999998	31.3
	27.162499999999998	24.6		29.731250000000006	28.7
	27.13125	25.2		29.98125	26.9
	27.031250000000007	23.7		29.94375	28.1
	26.9875	26.3		29.9	28.4
	26.981249999999996	27.1		29.856250000000003	30.1
	27.05625	27.6		30.006250000000005	29.4
يونيو	27.174999999999997	26.3		29.8125	28.1
	27.281250000000004	25.7		29.5125	27.6
	27.274999999999995	25.3		29.65625	27.7
	27.418750000000003	25.8		29.94375	26.6
	27.8625	26.8		30.474999999999998	28.7
	28.037499999999998	27.2		30.80625	29.9
	27.931249999999995	27.4		30.750000000000004	29.6
	27.799999999999997	27.1		30.075000000000003	29.7
	27.53125	27.4		30.149999999999995	30.2
	27.481249999999996	28		29.78125	31.5
	27.28125	28.2		29.931250000000002	31.9
	27.593750000000004	28.5		30.037499999999994	31.2
	27.768749999999997	28		30.2875	30.7
	27.750000000000004	27.7		30.331249999999997	29.3
	27.787499999999998	27.7		30.3125	30.1
	27.849999999999994	27.2		30.281250000000004	30
	27.6875	27.6		30.193749999999998	30.1
	27.625000000000004	27.7		29.956249999999997	30.2
	27.737499999999997	27.5		30.050000000000004	29.8
	27.656249999999996	27.3		30.181250000000002	28.9
	27.750000000000007	27.5		30.46875	28.9
	27.681249999999995	27.1		30.41875	28.6
	27.575	26.9		30.14375	27.7
	27.7625	26.8		30.362499999999997	28.8
	27.656250000000004	26.8		30.76875	29.4
	27.593750000000007	27.2		30.575000000000003	29.9
	27.593750000000004	26.9		30.7375	31.2
	27.825	27.7		30.493750000000006	30.6
	27.71875	27.7		30.474999999999994	30.5
	27.8875	26.2		30.5375	29.2
يوليو	27.943749999999994	25.8		30.6125	28.1
	27.787499999999998	26.8		30.61875	29.2
	27.737499999999997	27.4		30.618750000000006	29.8
	27.656250000000004	27.6		30.374999999999996	30.1
	27.5125	27.6		30.15625	30.3
	27.43125	27.4		29.9375	29.3
	27.49375	27.4		30.39375	29
	27.806250000000006	27.5		30.581250000000004	29.9
	27.768749999999997	27.1		30.537499999999994	29.5
	27.80625	27.2		30.725000000000005	30.2
	27.818749999999998	27.7		31.162499999999998	31
	27.768750000000004	25.8		31.05625	27.9
	27.943749999999998	27		30.862499999999997	27.8
	27.85	26.4		30.8875	27.7
	27.8125	25.2		30.724999999999994	26.7
	27.73125	25.9		30.768749999999997	28.9
	27.5625	25.9		30.618750000000002	27.3
	27.425	25.1		30.7375	26.9
	27.524999999999995	25.4		30.912499999999998	26.6
	27.39375	25.3		30.331250000000004	27.6
	27.1375		26.7	30.29375		28.8
	27.418750000000003		26.8	30.450000000000003		29.4
	27.537499999999998		26.7	30.268750000000004		30.5
	27.631249999999998		27.1	30.931250000000006		31.5
	28.1375		28.1	31.19375		33.4
	27.95625		29.1	31.0375		33.1
	27.96875		29.8	30.687499999999996		33.2
	27.775		29.9	30.174999999999994		34
	27.66875		27.3	30.28125		30
	27.425000000000004		27.4	30.2875		30
	27.337499999999995		27.4	30.043750000000006		30
أغسطس	27.6125		27.6	30.0625		30.3
	27.5375		27.4	30.437499999999996		30.1
	27.35625		27.4	29.781249999999996		29.8
	27.19375		27.2	29.787499999999994		29.9
	27.2875		27.3	29.9		29.8
	27.174999999999997		27.1	29.881250000000005		30.1
	27.337500000000002		27.4	30.525		30.5
	27.556250000000002		27.5	30.806250000000002		30.8
	27.437499999999993		27.6	30.281250000000007		30.9
	27.656250000000007		27.6	30.756249999999998		30.7
	27.375		27.3	30.374999999999996		30.4
	27.425		27.6	30.612500000000004		30.6
	27.400000000000002		27.4	30.581249999999997		30.6
	27.106249999999996		27.1	30.5		30.7
	27.224999999999998		27.2	30.612500000000004		30.7
	27.04375		27.2	30.624999999999996		30.5
	27.2		27.2	30.2625		30.1
	26.931250000000002		27.1	29.949999999999996		30.1
	27.149999999999995		27.1	29.899999999999995		30
	27.174999999999997		27	30.175		30.2
	27.08125			30.212500000000002
	27.318750000000005			30.443749999999998
	27.20625			30.450000000000003
	27.143749999999994			29.925
	27.006249999999994			29.60625
	26.89375			29.681250000000002
	26.875000000000004			29.668750000000003
	26.968749999999996			30.006249999999998
	26.956249999999997			30.287499999999998
	26.956249999999997			30.218749999999996
	26.925			30.081249999999997
سبتمبر	26.69375			30.418750000000003
	26.4625			29.874999999999996
	26.893749999999997			30.3125
	26.84375			30.412499999999994
	26.64375			30.674999999999997
	26.46875			29.9
	26.00625			29.331249999999997
	25.91875			29.5375
	26.156249999999996			29.531249999999996
	26.000000000000004			29.03125
	26.15625			29.031249999999996
	25.99375			29.718750000000004
	26.306250000000002			29.737500000000004
	26.64375			30.225000000000005
	26.368750000000002			29.800000000000004
	26.156250000000004			29.5125
	25.750000000000004			29.475
	25.643749999999994			29.55
	25.33125			29.09375
	25.0875			28.9375
	25.125000000000004			29.075000000000003
	25.21875			28.63125
	24.956250000000004			28.862499999999997
	24.94375			28.481250000000003
	24.881249999999998			28.25625
	24.374999999999996			28.056249999999995
	24.0375			27.95625
	24.1875			27.868750000000002
	24.15625			27.912499999999998
	24.187500000000004			27.525
أكتوبر	23.91875			27.73125
	23.931250000000002			27.787500000000005
	24.168749999999996			27.7625
	23.387500000000003			27.325
	23.39375			26.96875
	23.5			27.13125
	22.68125			26.7125
	22.243749999999995			26.206250000000004
	22.599999999999998			27.025
	22.98125			26.7125
	22.9125			26.70625
	22.8125			26.668750000000003
	22.93125			26.568750000000005
	22.6625			26.2375
	22.525000000000002			26.36875
	22.418750000000003			26.137500000000003
	22.175			26.087500000000002
	21.993750000000002			26.08125
	21.41875			25.593749999999996
	21.59375			25.500000000000004
	22.124999999999996			25.293750000000003
	22.537499999999998			25.562499999999996
	22.625000000000004			25.7375
	22.543750000000003			26.150000000000006
	21.800000000000004			25.45
	21.400000000000002			25.525000000000002
	21.499999999999996			25.075000000000006
	21.250000000000004			24.706250000000004
	20.91875			24.431250000000006
	20.30625			24.556250000000002
	21.10625			24.606249999999996
نوفمبر	21.699999999999996			24.89375
	21.812499999999996			25.0875
	20.943749999999998			24.862499999999997
	20.625			24.50625
	20.3625			23.9375
	20.56875			23.956249999999997
	20.868750000000002			23.8625
	20.349999999999998			24.03125
	20.231249999999996			24.018749999999997
	19.3875			23.4
	18.86875			22.587500000000002
	18.95625			22.968750000000004
	18.56875			23.043749999999996
	18.58125			22.4375
	19.056250000000002			23.125
	18.78125			23.200000000000003
	17.38125			21.987499999999997
	16.53125			21.18125
	16.9			21.099999999999998
	17.01875			21.3125
	17.049999999999997			20.881249999999998
	16.9375			21.406249999999996
	16.45625			21.5375
	16.15625			21.049999999999994
	16.28125			20.412500000000005
	16.625			21.106250000000003
	16.806250000000002			21.025000000000002
	16.78125			20.612499999999997
	16.53125			20.225
	17.275			20.275000000000002
ديسمبر	16.5625			20.537499999999998
	14.875			18.5375
	13.75			17.506249999999998
	13.875000000000002			18.387500000000003
	14.46875			18.668750000000003
	14.6			19.14375
	15.387499999999998			19.506250000000005
	15.249999999999998			19.96875
	15.56875			19.481249999999996
	15.093749999999998			19.325
	14.587499999999999			18.80625
	15.043749999999998			19.318749999999998
	14.9875			18.875
	14.912499999999998			19.306249999999995
	14.4125			19.31875
	14.03125			19.068750000000005
	13.499999999999996			18.646666666666665

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

33°C

أعلى درجة حرارة

5 يونيو 26

13°C

أدنى درجة حرارة

7 يناير 26

التفصيل الموسمي

أحر شهريونيو29.76°C

أبرد شهريناير16.58°C

أكثر شهر أمطارًاأغسطس49.19mm

أكثر شهر رياحًايوليو27.13km/h

Taipa 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 Taipa تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Taipa، مع متوسط درجات حرارة قصوى تبلغ حوالي 30°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 36°C في 2017-08-22.

2. ما هو أبرد شهر في Taipa تاريخيًا?

يناير هو أبرد شهر في Taipa، مع متوسط درجات حرارة دنيا تبلغ حوالي 15°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي 5°C في 2016-01-24.

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

يبلغ متوسط هطول الأمطار السنوي في Taipa تقريبًا 2045.1mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Taipa تاريخيًا حوالي 234.8 يوم مطر سنويًا. يشهد أغسطس أكبر عدد من أيام الأمطار بمتوسط 27.05 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Taipa هي 36°C في 2017-08-22.

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

أدنى درجة حرارة مسجلة على الإطلاق في Taipa هي 5°C في 2016-01-24.

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

تشهد Taipa أقوى رياحها خلال ديسمبر. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 106.6 كم/ساعة في 2025-09-24.

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

عادةً، تبلغ رطوبة Taipa ذروتها في مايو بحوالي 83.01% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 65.6%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Taipa السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Taipa 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

Taipa السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Taipa 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

Taipa السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا