Arhavi السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Arhavi رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	4.58125	-0.4		9.818750000000001	1.7
	4.26875	-3.4		10.125	1.5
	4.231249999999999	-4.2		9.975	3
	4.3374999999999995	0		10.6875	6.1
	4.950000000000001	4.9		10.1	10.1
	5.33125	5.9		11.075	9.8
	5.487500000000001	4.9		12.1375	10.8
	5.3125	7.6		10.625	12
	4.4125	5		9.9375	11.4
	4.281249999999999	2.4		9.7625	5.7
	4.78125	3		10.6375	8.5
	5.050000000000001	4.9		10.737499999999997	9.5
	4.65	0.7		9.406250000000002	5.3
	3.3874999999999997	-0.8		9.13125	2.9
يناير	3.6562499999999996	-2.1		9.10625	3.9
	3.6125	-0.6		9.68125	3.3
	3.9375	2.2		9.375	7.6
	4.09375	-2		9.674999999999999	4.5
	4.1625	1		9.262500000000001	4.1
	3.9875	1.9		8.825	4.3
	3.46875	-3		9.793750000000001	4.6
	3.3312500000000003	-2.2		9.3	3.9
	3.4812499999999997	1.9		9.63125	6.9
	3.1437500000000003	2.2		8.924999999999999	9.7
	3.2375000000000003	3.2		9.125000000000002	10.6
	3.80625	3		9.21875	11.7
	3.8937499999999994	4.4		8.9375	10.9
	3.13125	5.2		9.075	11.3
	3.406249999999999	4.6		8.862499999999999	12.9
	3.725	4.5		9.206249999999999	11.8
	3.90625	5.9		9.256250000000001	13.2
	3.6500000000000004	7.2		8.6	12.3
	3.0749999999999997	6.5		9.4375	11.5
	2.98125	5.2		11.118749999999999	10.1
	2.9375	0.7		9.90625	5.4
	3.45625	-0.2		9.637500000000001	9
	4.225	3.6		10.818750000000001	10.9
	4.5	6.2		10.10625	13.1
	3.9250000000000003	6.9		10.6375	11
	4.125	6.7		10.10625	8.6
	3.631249999999999	4.2		9.69375	6.3
	3.4125	2.6		10.306249999999999	6
	3.6625	4.6		10.893749999999999	12.2
	4.00625	7.2		10.14375	13.2
	3.6375	9		9.8	13.3
فبراير	4.20625	8.5		10.918750000000001	13.8
	3.7937500000000006	7.5		9.15	14.5
	3.5750000000000006	8.7		8.31875	13
	3.45625	8.4		9.09375	13.6
	3.9812499999999997	4.4		8.662500000000001	10.3
	3.893750000000001	1.8		9.762500000000001	12.7
	3.9187499999999997	4.6		9.425	12.9
	3.7937499999999997	6.3		10.3	13.2
	4.18125	6.6		11.168749999999998	7.7
	4.606250000000001	6.2		12.156249999999998	8.7
	4.968749999999999	4.3		12.40625	13.7
	5.1187499999999995	4.3		11.1875	7.6
	4.9624999999999995	4		13.275	5.1
	5.518750000000001	4.6		12.700000000000001	6
	4.900000000000001	4.1		11.2	5.2
	4.781250000000001	2		11.549999999999999	6.2
	5.343750000000001	0.3		12.187500000000002	8.8
	5.18125	4.7		10.69375	7.3
	4.75625	1.3		11.399999999999997	7.1
	5.056249999999999	2		14.006249999999998	9.4
	5.21875	4.1		13.156249999999996	5.5
	5.187500000000002	2.5		12.08125	4.6
	5.512499999999999	1.5		13.818749999999998	4.9
	6.0625	-0.5		14.143749999999999	7.4
	6.75625	1.1		14.331249999999999	9.1
	6.900000000000001	2.6		13.39375	11.7
	6.3375	3.5		13.2375	11.1
	6.887499999999999	4.4		14.2625	13
مارس	7.031249999999999	6.6		13.89375	14.9
	6.581249999999999	7.8		12.8375	9.1
	5.73125	5.9		11.2625	9
	4.51875	5		10.2125	12.4
	4.387500000000001	5.8		10.999999999999998	13.4
	5.10625	7.8		11.768749999999999	10.7
	5.20625	6.5		10.24375	12.6
	5.03125	6.9		11.649999999999999	12.9
	5.737500000000001	7.7		12.25625	11
	5.1000000000000005	6.5		11.612499999999999	12.2
	5.2562500000000005	7		12.8	9.5
	7.124999999999998	8.5		14.524999999999999	9
	7.5687500000000005	8.4		14.431249999999999	10.1
	7.237499999999999	6.8		14.575000000000001	14.3
	6.262499999999999	7.8		15.018749999999999	16.2
	6.237499999999999	7.5		13	10.4
	6.643750000000001	6.7		13.106250000000001	14.1
	7.431250000000001	7.2		15.818749999999998	16.2
	8.55625	8.4		17.25	16.7
	8.275	9.9		15.13125	17.2
	8.06875	8.1		16.0125	12.3
	7.8875	8.1		15.575	11.6
	8.743750000000002	6.9		17.175	10.9
	9.862499999999999	6.1		19.61875	14.5
	9.4625	6.7		17.250000000000004	11.4
	8.16875	4.9		15.599999999999998	9
	8.481250000000001	5		15.15625	7.3
	8.662499999999998	5.4		15.04375	8.8
	7.993750000000001	7.3		14.299999999999999	9.1
	7.500000000000001	5.9		13.087499999999999	8
	7.39375	3.4		15.387500000000001	10.1
أبريل	9.350000000000001	2		16.11875	12.1
	9.556249999999999	4		18.44375	12.9
	9.718750000000002	6.5		18.075	15.8
	10.768749999999999	10.2		19.818749999999998	16.5
	11.668750000000003	9.8		20.2125	10.9
	10.137500000000001	8.6		17.00625	9.2
	9.6375	7.6		16.28125	13.9
	8.893749999999999	7.1		14.5875	17.1
	8.525000000000002	6.9		15.41875	10.2
	9.325	5.3		15.237499999999999	11.1
	9.756250000000001	5.7		18.518749999999997	15.6
	11.174999999999997	8.2		19.2	18.1
	11.575000000000001	10.2		19.49375	14.7
	11.84375	8.1		19.912499999999998	12.9
	11.993750000000002	7		18.299999999999997	12.5
	11.406249999999998	6.1		18.45625	13.9
	12.225000000000001	8.5		18.943749999999998	16.3
	12.587500000000002	10.2		18.76875	11.1
	12.4625	9.5		18.637499999999996	13.6
	12.681249999999999	8.9		19.412499999999998	14.6
	12.968750000000002	8.2		19.1	14.4
	12.40625	11.2		18.76875	11.8
	12.64375	9.1		18.043750000000003	15.1
	12.331249999999999	8.5		18.21875	17
	12.525	9.9		18.93125	20.1
	12.349999999999998	12.5		19.037499999999998	20.8
	12.093750000000002	13.1		18.275000000000002	21.9
	12.4875	12.7		18.31875	20
	12.293750000000001	12.8		19.443749999999998	18.8
	13.956249999999997	12.1		20.1625	22.2
مايو	13.737499999999999	12.7		19.45	15.9
	13.774999999999999	9.9		22.0375	12.7
	14.24375	10.2		22.63125	20.1
	14.506249999999998	12		22.30625	15.3
	14.09375	11.8		20.05	13.5
	13.73125	12		20.625	19.5
	14.04375	13.8		20.856249999999996	16.1
	14.156250000000004	12.3		22.25	18
	15.143749999999999	11.9		21.35	19.7
	14.887499999999998	13		21.425	18.9
	14.487499999999999	13.1		20.78125	17.9
	14.8625	12.5		21.118750000000006	18.9
	15.287500000000001	11.7		22.106250000000003	20.4
	15.731250000000001	13.4		22.00625	23.9
	16.35	11.9		22.83125	17.3
	16.687500000000004	9.9		23.000000000000004	16.1
	17.0125	10.1		23.437500000000004	18.1
	16.93125	10.9		22.718749999999996	22.9
	16.73125	13.2		22.849999999999998	19.6
	16.868750000000002	12.9		23.487499999999997	22.6
	16.85	14.9		22.631249999999998	23
	17.262500000000003	15.2		23.731250000000003	24.5
	17.19375	15.3		23.268750000000004	23.1
	17.268749999999997	14.1		23.406250000000004	21.4
	17.3875	13.8		23.962500000000002	21.8
	18.0125	14.2		23.71875	21.6
	17.75625	15.2		23.262500000000003	21.8
	18.056250000000002	17		23.66875	20.7
	17.85	15.7		24.29375	22
	18.21875	14.6		24.181249999999995	22.8
	18.512500000000003	16.3		24.81875	19.6
يونيو	19.275	15.7		25.231250000000003	21.8
	18.9625	15		24.525	23.5
	18.474999999999998	16.3		23.693749999999998	24.1
	18.431250000000002	16.6		23.8375	23.9
	18.700000000000003	16.2		24.012500000000003	22.5
	18.98125	18.1		24.075	22
	18.725000000000005	18.1		23.9375	22
	18.75	17.2		23.9	22.9
	18.7875	15.9		24.312500000000004	22.2
	18.675000000000004	18.6		24.537499999999998	21.4
	18.9875	17.1		24.275	23.3
	19.5625	16.5		24.687500000000004	24.1
	19.825	15.8		24.687499999999996	22.2
	19.862500000000004	15.4		25.4625	23.2
	19.1625	15		23.924999999999997	23.3
	18.706249999999997	16		23.762500000000006	24.3
	19.043750000000003	16.8		24.750000000000004	25.2
	19.175	18		24.606249999999996	25.5
	19.3125	18.7		25.056250000000002	25.6
	19.456249999999997	18.1		25.150000000000002	25.2
	19.83125	18.1		24.5625	24.7
	19.70625	19.4		24.975	22.9
	20.031250000000004	20		24.787499999999998	23.2
	20.187500000000004	19.6		25.349999999999994	23
	20.16875	17.6		25.331249999999997	24.9
	20.475	18.9		25.556250000000002	25.9
	20.76875	20.6		25.275	24.1
	20.5125	19.7		25.6875	24.3
	20.5625	21.1		25.075	23.7
	20.431250000000002	20.3		25.543750000000003	23.6
يوليو	20.506249999999998	18.7		25.18125	24.9
	20.706250000000004	20.1		25.55625	22.4
	20.743750000000002	18.7		26.268750000000004	24.1
	21.075	18.2		26.45625	24.1
	21.243750000000002	18.9		25.9375	24.1
	21.249999999999996	17.8		25.80625	25.4
	20.9375	17.5		25.86875	24.7
	21.11875	19.1		25.6375	24.4
	20.762500000000003	19.9		25.693749999999994	25.1
	20.61875	18.5		26.625000000000004	24.9
	21.406250000000004	19.1		26.974999999999998	25.8
	21.343750000000004	20.3		27.250000000000004	23.2
	21.76875	19.4		27.981250000000003	24
	21.587500000000002	18.3		27.41875	24.4
	21.218750000000004	18.3		26.75	22.9
	21.5875	16.9		27.6375	24
	21.568750000000005	20.2		26.793750000000003	22.7
	21.85	20.6		27.262500000000003	22.9
	21.975000000000005	21.1		27.325000000000006	24.5
	21.825	20.6		27.081249999999997	26.1
	21.693750000000005	19.3		27.050000000000004	26.3
	21.7	20.2		26.849999999999998	25.8
	21.76875	20.7		27.062500000000004	25.9
	21.95625		21.2	27.20625		26.6
	21.91875		21.2	26.95		26.5
	21.806250000000002		20.6	26.956249999999997		25.6
	21.74375		18.4	27.275		26.1
	22.0625		19.9	27.431250000000002		26.2
	21.8875		19.9	26.599999999999998		26.1
	21.731249999999996		20.4	26.725		26
	21.687500000000004		20.1	27.143750000000004		26.1
أغسطس	21.518750000000004		21.4	27.2625		26.8
	21.537499999999998		21.4	26.325		26.1
	21.3125		21.1	26.56875		26.4
	21.46875		21.5	26.643749999999997		26.8
	21.4125		21.6	26.481249999999996		26.5
	21.36875		21.4	26.775		26.7
	21.4625		21.3	26.706249999999994		26.5
	21.4		21	26.6375		26
	21.31875		21.1	26.631249999999994		26.1
	21.08125		20.7	26.200000000000003		26.2
	20.7875		20.6	26.162499999999998		26.2
	20.49375		20.4	26.2125		26.1
	20.6375		20.7	26.76875		26.6
	20.9625		20.6	27.33125		26.8
	21.412499999999998		21	27.368750000000002		27.1
	21.35		21.3	27.025		26.9
	21.168750000000003		21.1	26.662500000000005		26.5
	21.218749999999996		20.9	26.968749999999996		26.6
	20.4		20.4	26.025		25.9
	20.556249999999995		20.5	26.0125		26
	20.287499999999998		20.4	26.0125		26.1
	20.13125		20	25.462500000000006		25
	20.018750000000004		20	25.206250000000004		25.2
	19.63125			24.806250000000002
	19.0375			24.35625
	18.55			24.02499999999999
	18.325			23.9625
	18.36875			24.637499999999996
	19.04375			25.7375
	19.575000000000003			25.7
	19.2875			25.518749999999997
سبتمبر	19.1875			24.450000000000003
	18.575			24.43125
	18.53125			24.65
	18.474999999999998			25.30625
	18.7625			24.80625
	18.687499999999993			24.812500000000004
	18.387500000000003			24.59375
	17.53125			23.400000000000002
	17.4875			23.14375
	16.974999999999998			23.000000000000004
	16.737499999999997			22.5375
	16.8375			22.65625
	16.6875			23.775
	17.2			23.54375
	17.012500000000003			22.549999999999994
	16.575			22.931250000000006
	16.51875			22.812499999999996
	16.312500000000004			22.681250000000002
	15.749999999999998			21.58125
	15.481250000000001			20.9625
	15.231249999999998			20.650000000000002
	14.5375			20.575
	14.868749999999999			21.35625
	15.5875			23.418750000000003
	15.775			22.1
	15.075			21.200000000000003
	15.387500000000001			21.568750000000005
	15.15			21.493750000000002
	14.85625			21.075
	15.281249999999998			21.256250000000005
أكتوبر	15.25			20.974999999999998
	15.2125			20.46875
	14.95625			20.9125
	14.487499999999999			20.775
	13.60625			19.775000000000002
	13.50625			18.36875
	13.44375			19.262500000000003
	13.193750000000001			19.95625
	13.73125			20.056250000000002
	14.418750000000001			20.51875
	13.81875			19.599999999999998
	13.018750000000002			18.006249999999998
	12.80625			18.000000000000004
	12.706249999999999			18.99375
	13.043750000000001			19.09375
	12.456249999999999			18.393749999999997
	12.1125			17.868750000000002
	11.825000000000003			16.84375
	11.037500000000001			16.3875
	10.856250000000001			17.13125
	10.8375			17.70625
	11.168749999999998			18.2625
	12.250000000000002			18.443749999999998
	11.69375			18.406249999999996
	11.19375			17.45
	10.975000000000001			18.025
	10.893749999999999			17.362499999999997
	11.075			17.5125
	10.799999999999999			16.8125
	10.937499999999998			16.45
	10.362500000000002			16.556250000000002
نوفمبر	10.15			16.137500000000003
	10.050000000000002			15.962499999999999
	9.556249999999999			15.081249999999997
	9.081249999999997			15.39375
	9.850000000000001			16.049999999999997
	10.112500000000002			15.43125
	9.66875			15.6
	9.575			15.3375
	8.850000000000001			14.93125
	8.5375			14.631250000000003
	8.149999999999999			14.737499999999999
	8.76875			14.3375
	8.343750000000002			13.8375
	8.431249999999999			13.774999999999997
	8.35625			15.18125
	8.356250000000001			14.518749999999999
	7.5375			13.95625
	7.112499999999999			13.21875
	6.74375			13.15625
	6.875000000000001			13.668750000000001
	7.675000000000001			13.262500000000001
	7.056250000000001			12.443750000000001
	6.74375			12.300000000000002
	7.01875			12.937500000000002
	7.156250000000001			12.5
	6.256249999999999			12.94375
	6.70625			13.04375
	6.956250000000001			12.337500000000002
	7.05			11.975
	6.599999999999999			11.662500000000001
ديسمبر	6.6312500000000005			11.756250000000001
	6.26875			11.400000000000002
	5.8687499999999995			11.262500000000001
	5.543749999999999			10.893749999999999
	5.343750000000001			10.76875
	5.7124999999999995			10.75625
	5.6375			11.3875
	5.281250000000001			10.775
	4.893750000000001			10.8875
	4.6499999999999995			9.768749999999999
	4.63125			10.45625
	4.950000000000001			10.63125
	5.356249999999999			11.2625
	5.3374999999999995			11.15625
	5.2375			11.549999999999999
	5.25			11.3375
	5.086666666666667			10.76666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

26°C

أعلى درجة حرارة

4 أغسطس 26

-4°C

أدنى درجة حرارة

3 يناير 26

التفصيل الموسمي

أحر شهرأغسطس25.25°C

أبرد شهريناير1.95°C

أكثر شهر أمطارًافبراير8.84mm

أكثر شهر رياحًايناير21.27km/h

Arhavi 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 Arhavi تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Arhavi، مع متوسط درجات حرارة قصوى تبلغ حوالي 27°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 38°C في 2010-09-01.

2. ما هو أبرد شهر في Arhavi تاريخيًا?

يناير هو أبرد شهر في Arhavi، مع متوسط درجات حرارة دنيا تبلغ حوالي 4°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -9°C في 2020-02-11.

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

يبلغ متوسط هطول الأمطار السنوي في Arhavi تقريبًا 2323.01mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Arhavi تاريخيًا حوالي 219.6 يوم مطر سنويًا. يشهد أكتوبر أكبر عدد من أيام الأمطار بمتوسط 17.2 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Arhavi هي 38°C في 2010-09-01.

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

أدنى درجة حرارة مسجلة على الإطلاق في Arhavi هي -9°C في 2020-02-11.

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

تشهد Arhavi أقوى رياحها خلال يناير. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 40.7 كم/ساعة في 2025-12-29.

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

عادةً، تبلغ رطوبة Arhavi ذروتها في يوليو بحوالي 78.8% وتنخفض إلى أدنى مستوياتها في نوفمبر بحوالي 67.2%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Arhavi السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Arhavi 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

Arhavi السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Arhavi 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

Arhavi السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا