Almada السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Almada رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	9.65	9.8		15.64375	15.7
	10.5375	13.9		15.80625	15.8
	10.8125	13.1		15.737499999999999	14.1
	10.475000000000001	11.3		15.918750000000001	14.5
	9.75	7.7		15.14375	10.8
	9.231250000000001	7.7		14.525	11
	9.4125	9		14.906249999999998	13.9
	9	9.5		14.868749999999997	15
	9.60625	11.9		15.225000000000001	14.5
	10.043750000000001	9.5		15.475	14.3
	9.500000000000002	10.9		15.674999999999997	15.6
	8.65625	12.9		15.40625	15.2
	8.950000000000001	11.4		15.156249999999998	14.5
	9.38125	10.1		15.131249999999998	14
يناير	9.493750000000002	9.7		14.925	13.8
	9.9875	8.8		15.1	12.8
	9.8	7.3		15.175	11.6
	9.4125	5.5		14.762500000000001	12.3
	9.4625	6.9		14.725	12.9
	9.962499999999999	7.7		14.89375	12.7
	9.862499999999999	9.2		15.406249999999998	15.5
	9.85	11.3		14.89375	15.2
	9.5	8.9		15.162499999999998	12.1
	9.612499999999999	7.2		15.65625	13.1
	9.75625	11.4		15.7375	14
	9.85	12.9		15.53125	16.2
	10.0125	11.2		15.325000000000001	14.8
	9.906250000000002	11.7		15.35625	16
	10.006250000000001	12.4		15.487499999999999	15.9
	10.062499999999998	11.9		15.256249999999998	16.5
	10.356249999999998	10.6		15.631250000000001	14.7
	9.63125	13.7		15.731249999999998	15.4
	9.281250000000002	10.3		15.318750000000001	14.4
	9.075000000000001	10.4		15.41875	12.9
	8.831249999999999	13.4		15.381249999999998	15.8
	8.6875	12.3		15.85	15.9
	8.95	10.4		15.7125	13.2
	9.500000000000002	10.8		15.381249999999998	14
	9.59375	10.6		15.075	14.7
	9.887500000000001	15		15.5125	16
	9.912500000000001	15.1		14.7625	16.1
	10.318750000000001	15.2		15.5375	16.9
	9.79375	12.8		15.4125	16.6
	9.962499999999999	10.6		15.700000000000001	15.2
	10.18125	10.4		15.981250000000003	13.6
فبراير	10.318749999999998	9.7		16.00625	15
	9.88125	11.6		16.381249999999998	16
	9.787500000000001	10.9		15.637500000000003	15.7
	10.06875	10.7		15.9375	15.6
	10.031249999999998	9.4		16.793750000000003	14.2
	9.624999999999998	7.5		16.95	16
	10.40625	8.1		17.299999999999997	18.3
	10.38125	9.5		17.543750000000003	18.7
	10.1875	10.6		17.081249999999997	17.9
	9.7	11.2		16.78125	17.3
	10.46875	11.8		16.693749999999998	16.3
	9.89375	10.6		15.899999999999999	19.7
	10.1	11.6		15.606250000000001	16.1
	9.825	10.1		15.64375	15.4
	10.043750000000001	8.2		15.99375	15.7
	10.1	9.6		16.2	13.1
	10.206249999999999	11.1		15.6375	18.5
	10.406249999999998	10.5		15.774999999999999	18.8
	11.375	10.8		16.0875	15.6
	10.89375	9.8		16.73125	12
	10.456250000000002	9.4		16.725	14.7
	11.200000000000001	10		16.90625	13.5
	10.743749999999999	9.8		17.743750000000002	12.7
	10.512500000000001	10		17.3125	14.9
	11.21875	8.3		17.575	17.3
	10.5125	10		17.26875	18
	10.39375	9.9		17.081249999999997	17.1
	9.868749999999997	11.2		17.287499999999998	14.1
مارس	10.281249999999998	11.7		18.25	17.5
	10.681249999999997	10.2		17.45	20.1
	10.85	10.4		17.24375	18
	10.493749999999999	12.9		18.00625	17.2
	10.75625	12.5		18.5	15.6
	11.006249999999998	12.9		17.818749999999998	16.1
	10.2125	13		17.431250000000006	16.9
	10.0625	10.5		17.0125	18.3
	10.018749999999999	11.6		17.2375	18.8
	11.062500000000002	11.5		17.737499999999997	19.9
	11.362500000000002	11.3		18.05	20.3
	11.231250000000001	11.7		17.75	19.7
	11.131250000000003	10		18.281250000000004	19.2
	11.412500000000001	10.6		18.85	20.3
	11.543750000000001	9.9		18.887499999999996	19.1
	11.793750000000001	8.9		18.4375	19.2
	11.937499999999998	10.9		18.05625	21
	11.3375	11.6		17.70625	21.5
	11.206249999999999	11.8		17.59375	20.7
	11.237500000000002	11.2		17.468749999999996	21.2
	11.44375	12.9		18.34375	21.9
	11.712499999999999	13.6		18.6625	23.5
	11.787499999999998	13.5		18.899999999999995	20.5
	11.6	10.2		19.45625	14.9
	12.125	8.4		20.20625	17.1
	12.51875	11		19.58125	21.2
	12.71875	13		19.08125	20.4
	12.425	11.1		19.393749999999997	16.5
	12.387500000000003	10.6		19.693749999999998	15.3
	12.55625	11.1		20.0875	16
	12.774999999999999	12.6		19.54375	18.9
أبريل	12.912499999999998	12.1		20.068749999999998	19.5
	12.374999999999998	11.5		20.318749999999998	21.1
	12.73125	10.8		20.868749999999995	22.9
	13.181249999999999	13.7		20.318749999999998	22.8
	12.712499999999997	13.6		19.618750000000002	21.9
	13.131250000000001	13.4		19.69375	23.5
	13.062499999999998	13.4		18.89375	20.1
	12.74375	11.6		18.843749999999996	18.6
	12.68125	12.3		19.925	18.7
	13.299999999999999	13.2		20.712500000000002	20.8
	13.081250000000002	13.2		20.462500000000002	22.9
	13.41875	14		19.99375	25.2
	12.931250000000002	15.4		20.7	23.8
	13.14375	15.7		20.45	21.2
	12.6	14.4		19.137499999999996	18
	12.543750000000003	14.7		19.368750000000002	19.4
	12.487499999999997	13.2		20.08125	19.3
	12.718749999999996	14.3		20.8625	19.6
	13.75625	13.4		21.587500000000002	18.9
	14.024999999999999	11.8		22.456250000000004	18.8
	13.862499999999999	11.7		21.33125	18.7
	13.943749999999998	12.1		20.73125	19.3
	14.0875	12		21.037499999999998	18.6
	14.406249999999996	12.6		21.08125	18.6
	14.6125	12.6		21.450000000000006	17.6
	14.381250000000001	13.5		21.675	17.3
	14.2875	14		22.156250000000004	18.6
	14.543750000000001	13.6		22.375	18.6
	14.75	13.5		23.381249999999998	19.5
	14.887500000000001	13		21.8875	19.5
مايو	14.681250000000002	13.6		22.24375	19.3
	14.63125	13.2		23.69375	20
	15.4625	13.3		23.53125	19.6
	14.875000000000002	12.5		21.79375	18.9
	14.150000000000002	14		22.406250000000004	22.8
	14.437500000000004	14.9		23.65	26.7
	14.950000000000001	16.3		22.537499999999998	27.1
	14.981250000000001	18.4		22.375	28
	14.75625	17.5		23.4	25.8
	14.956249999999999	15.9		23.606250000000006	24.4
	15.412500000000001	15.6		23.918750000000006	26.1
	15.218749999999998	17.7		23.474999999999998	28.7
	15.35	18.6		23.5625	28.9
	15.600000000000001	17.5		23.35	26.6
	15.856250000000001	15.6		23.499999999999996	26.6
	16.099999999999998	15.6		24.275	25.4
	15.906249999999998	15.1		25.049999999999997	27.2
	16.3125	16.9		25.40625	25.2
	16.36875	16.2		24.775	22.9
	16.33125	16.4		23.356250000000003	24.7
	15.962500000000002	15.6		23.375000000000004	21.8
	15.50625	14.4		23.525	21.3
	15.80625	15.2		23.25	25.2
	15.718750000000005	14.2		23.45625	25.3
	15.887500000000001	15.8		23.29375	23.7
	16.1875	15.7		23.337500000000002	23.4
	16.150000000000002	15.3		23.28125	27.8
	16.143750000000004	16.4		23.412499999999994	28.7
	16.175000000000004	17.2		24.1625	29.2
	16.231250000000003	18.7		24.25	29
	16.118750000000002	17.8		24.35625	25.7
يونيو	16.268750000000004	17.2		25.187499999999996	26.2
	16.462500000000002	16		24.974999999999998	28.1
	16.98125	16.8		25.175	29.2
	17.11875	17.1		24.568750000000005	29.1
	17.1	16.6		24.606249999999996	28.3
	16.975	17.8		24.700000000000003	30.7
	16.69375	18.2		24.43125	29.3
	16.612499999999997	18.7		25.193749999999998	26.9
	16.7625	19		26.05	27.5
	17.39375	18		26.525	24.3
	17.85625	17.6		26.89375	23.1
	17.7125	18.2		26.55	24.3
	17.375	17.7		26.49375	25.1
	17.8	17.8		26.9125	26.3
	17.693749999999994	16.6		26.093750000000004	29.4
	17.4625	17.5		26.050000000000004	30.4
	17.2875	17.4		25.643749999999994	30.5
	16.95	21.5		26.09375	34.4
	17.1375	23.3		26.150000000000002	31.5
	17.443749999999998	21.3		27.168750000000003	32.3
	18.0625	22.6		27.350000000000005	32.7
	17.7375	20.7		27.05625	31.9
	17.881249999999998	18.3		26.837500000000002	30.5
	18.09375	16.9		26.71875	30.1
	17.68125	17.3		27.431250000000002	26
	18.06875	16.9		28.099999999999998	27.4
	18.218749999999996	16.8		27.606249999999996	23
	17.762500000000003	17.1		26.59375	23.9
	17.581249999999997	17.8		26.98125	24.7
	17.5375	17.9		27.306250000000002	25.7
يوليو	17.593750000000004	17.9		27.5125	25.3
	17.90625	18.3		27.8375	25.9
	17.843749999999996	17.6		28.20625	26.5
	18.03125	17.8		27.5125	25.8
	17.49375	18		26.931250000000002	25.7
	17.59375	18.7		26.79375	26.1
	17.41875	18		26.731249999999996	26.5
	17.6375	18.2		27.325	26.7
	17.40625	18.1		27.4125	26.8
	18.06875	18.7		28.412499999999998	24.7
	18.21875	18.8		28.256249999999998	25.2
	18.3375	17.8		28.175	28.8
	18.125	18		27.53125	30.3
	18.0875	19.6		27.400000000000002	30.2
	17.862499999999997	18.5		28.068749999999998	27.4
	18.081249999999997	17.2		28.150000000000002	28.1
	17.86875	17.6		26.624999999999996	29.3
	17.6375	17.9		27.1375	29.9
	17.78125	18.7		27.512500000000003	27.2
	17.774999999999995	19.3		28.200000000000003	24.8
	18.2375	19.1		28.481250000000003	26.4
	18.325000000000003	19.5		28.674999999999997	27.7
	18.11875	18.5		28.29375	29.2
	18.462500000000002	18.8		27.4125	30.4
	17.99375	19.3		27.643750000000004	27.7
	18.18125	19.2		28.756250000000005	27.4
	18.61875	18.9		29.675	27.8
	18.55	19.1		29.574999999999996	29.4
	18.45	18.7		28.056250000000002	29.4
	18.025000000000002	18.9		27.875	30.9
	18.01875	19.5		28.43125	29
أغسطس	18.0625		20.2	27.631249999999998		27.5
	17.725		19.2	27.556250000000002		30.6
	17.6875		20.9	28.2		30.2
	18.068749999999998		20.7	27.69375		26.9
	18.1875		19.2	28.806250000000002		26.3
	18.7625		19.4	29.325		26.2
	18.70625		18.9	28.650000000000002		26.2
	18.7375		18.6	28.668750000000003		25.3
	18.38125		18.3	28.11875		28.4
	18.05625		18.2	28.362499999999997		28.1
	17.8		17.6	28.400000000000002		28
	17.78125		17.6	27.6125		27.6
	17.53125		17.7	27.200000000000003		26.8
	17.8125		17.6	26.55625		26.3
	17.5875		17.6	27.2		26.9
	17.8125		18	27.34375		27.7
	18.081249999999997		18.1	27.11875		27.5
	17.981249999999996		18.2	27.35625		27.3
	17.875000000000004		17.9	27.1		26.9
	17.787499999999998		18.1	26.95		26.9
	18.087500000000002		18.2	26.549999999999997		26.9
	18.0125		18.1	27.775000000000002		27.5
	18.51875		18.3	27.612499999999997		27.2
	18.462500000000002		18.3	27.087500000000002		26.8
	18.106250000000003		18	25.9375		26
	17.575		17.8	25.9125		25.7
	17.7		17.7	25.775000000000002		25.8
	17.78125		17.9	26.806250000000002		27
	18.59375		18.8	27.193750000000005		27
	18.9		18.8	27.474999999999994		27.2
	18.718750000000004		18.7	26.768750000000004		26.5
سبتمبر	18.525			25.650000000000002
	18.150000000000006			25.750000000000004
	17.88125			25.5875
	17.5875			25.624999999999996
	17.4			26.16875
	17.65			26.143750000000004
	17.88125			25.156249999999996
	16.818749999999998			24.9875
	16.906249999999996			24.40625
	16.987499999999997			24.81875
	17.1625			24.656249999999996
	17.34375			25.325
	17.193749999999998			24.8125
	17.537499999999998			24.99375
	17.093750000000004			25.900000000000002
	17.3625			26.049999999999997
	17.312500000000004			26.2625
	17.70625			26.11875
	17.593750000000004			25.112499999999994
	16.9625			24.837500000000002
	16.6625			24.91875
	17.01875			25.581249999999997
	17.449999999999996			25.793750000000003
	16.99375			25.568749999999998
	16.70625			24.856250000000006
	16.875			24.6625
	16.58125			24.693749999999998
	17.03125			23.8375
	16.98125			24.131249999999998
	16.300000000000004			23.7375
أكتوبر	16.650000000000002			22.875
	16.65625			22.40625
	16.73125			22.29375
	16.5375			21.7
	16.2375			22.037500000000005
	16.125			22.4
	15.793750000000001			21.99375
	15.731249999999998			21.96875
	16.24375			21.943749999999998
	16.018749999999997			22.106250000000003
	16.275			21.750000000000004
	15.925			21.781249999999996
	15.36875			21.337499999999995
	15.73125			21.0125
	15.681249999999999			21.06875
	15.400000000000004			21.062500000000004
	15.725000000000001			20.29375
	14.7			20.26875
	15.03125			19.724999999999998
	15.13125			19.937499999999996
	14.793749999999998			19.53125
	14.112499999999997			18.925
	13.41875			18.993750000000002
	13.174999999999999			19.006249999999998
	13.50625			18.156250000000004
	13.4625			18.906250000000004
	13.79375			19.493750000000002
	13.70625			19.78125
	13.775			19.800000000000004
	13.88125			19.59375
	13.162499999999998			19.05
نوفمبر	12.674999999999999			18.618749999999995
	12.756250000000001			18.381249999999998
	12.893749999999997			18.781249999999996
	12.54375			18.481249999999996
	12.85625			18.225000000000005
	12.825000000000001			18.300000000000004
	12.23125			17.337500000000002
	12.368749999999999			16.868750000000002
	12.21875			16.9
	11.525			17.075
	12.375			16.99375
	11.406249999999998			16.59375
	10.79375			16.25
	10.924999999999999			16.406250000000004
	11.0125			16.587500000000002
	10.9875			16.4125
	10.862499999999999			16.037499999999998
	10.68125			16.156249999999996
	9.906250000000002			15.88125
	9.837500000000002			16.45
	11.206249999999999			16.675
	10.86875			16.818749999999998
	11.55			16.8125
	11.950000000000001			16.5875
	11.775			16.924999999999997
	11.375			16.53125
	11.80625			16.506249999999998
	11.599999999999996			16.68125
	11.50625			16.1875
	11.66875			16.275
ديسمبر	11.5375			16.05
	10.84375			15.924999999999997
	9.868749999999999			15.506249999999998
	10.362500000000002			15.8
	10.806250000000002			16.299999999999997
	11.14375			15.75625
	10.712499999999997			16.275000000000002
	10.475000000000001			16.450000000000003
	10.068750000000001			15.968749999999996
	10.424999999999999			15.806250000000002
	10.0625			15.350000000000001
	9.499999999999998			15.71875
	10.225			15.825
	10.4875			16.1125
	10.274999999999999			16.050000000000004
	9.581249999999999			15.612499999999999
	9.953333333333335			15.966666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

34°C

أعلى درجة حرارة

2 يوليو 26

6°C

أدنى درجة حرارة

18 يناير 26

التفصيل الموسمي

أحر شهرأغسطس28.37°C

أبرد شهريناير10.11°C

أكثر شهر أمطارًافبراير6.24mm

أكثر شهر رياحًايناير32.65km/h

Almada 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 Almada تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Almada، مع متوسط درجات حرارة قصوى تبلغ حوالي 28°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2018-08-04.

2. ما هو أبرد شهر في Almada تاريخيًا?

يناير هو أبرد شهر في Almada، مع متوسط درجات حرارة دنيا تبلغ حوالي 10°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي 2°C في 2012-02-13.

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

يبلغ متوسط هطول الأمطار السنوي في Almada تقريبًا 579.09mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Almada تاريخيًا حوالي 130.4 يوم مطر سنويًا. يشهد نوفمبر أكبر عدد من أيام الأمطار بمتوسط 14.8 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Almada هي 42°C في 2018-08-04.

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

أدنى درجة حرارة مسجلة على الإطلاق في Almada هي 2°C في 2012-02-13.

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

تشهد Almada أقوى رياحها خلال يوليو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 67 كم/ساعة في 2026-01-28.

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

عادةً، تبلغ رطوبة Almada ذروتها في يناير بحوالي 76.2% وتنخفض إلى أدنى مستوياتها في أغسطس بحوالي 68.2%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Almada السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Almada 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

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

Almada السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Almada 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

Almada السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا