Kaneyama السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaneyama رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	4.45	4.6		11.393749999999999	10.1
	5.343749999999999	2.3		12.78125	5.3
	5.9625	1.5		12.44375	9.7
	5.112499999999999	4.1		12.60625	12.7
	5.9624999999999995	7.5		12.268750000000002	12
	6.55	5.3		12.381250000000001	11.2
	5.725000000000001	5.8		11.750000000000002	12
	6.13125	3.6		12.243749999999999	9.3
	5.231249999999999	1.9		11.568749999999998	10.7
	5.44375	6.3		11.274999999999999	15.1
	5	4.8		11.0125	11.7
	5.3687499999999995	2.5		10.8125	10.4
	5.631250000000001	9.1		11.149999999999999	15.9
	5.593750000000001	5.6		12.525	12.4
يناير	5.462500000000001	6.9		12.2875	16.1
	4.91875	10.3		11.674999999999999	17.4
	4.9	8.9		11.756250000000001	16.9
	5.05	9.1		12.450000000000003	16.2
	5.7	9.4		12.600000000000001	16.2
	6.46875	7.3		13.231250000000001	13.7
	5.9937499999999995	3.3		13.0375	9
	6.081250000000001	1.6		13.068749999999998	6.4
	6.4312499999999995	2.4		12.00625	8.8
	5.175	5.4		11.100000000000001	11.1
	5.168749999999999	3.6		11.1875	9.8
	5.04375	2.3		11.475000000000003	10.8
	5.137499999999999	5.7		12.075000000000001	11.8
	5.7875	3.5		11.9	11.8
	5.73125	2.7		11.956249999999999	10.3
	5.374999999999999	5.1		12.4875	10.1
	4.99375	3.8		13.137500000000001	10.4
	6.43125	6.5		13.468749999999996	10.4
	6.1125	4.8		12.84375	10.8
	5.45	2.6		12.168750000000003	10.2
	5.7625	3.7		12.131250000000001	13.2
	5.699999999999999	8.2		11.668750000000001	14.6
	6.0249999999999995	10.6		12.1625	14.1
	5.48125	5		12.475	11.3
	4.76875	0.3		11.4	4
	5.15625	-0.3		11.575000000000001	8.3
	6.05625	4.1		12.281250000000002	14
	5.375	7.5		12.450000000000001	13.4
	6.5375	6.6		12.937499999999998	13.5
	7.437499999999999	6.1		13.475000000000001	14.5
	6.756249999999999	7		14.13125	15.1
فبراير	7.075	12.4		13.575000000000003	18.9
	6.1125	9.3		12.549999999999999	15.9
	5.7749999999999995	10.5		12.450000000000001	13.2
	5.6375	7.4		12.137500000000003	12.5
	6.3999999999999995	6.3		12.681249999999999	12.8
	6.393749999999999	8.2		13.631250000000001	14.3
	6.281250000000001	6.8		13.756249999999998	14.8
	7.831249999999999	10.6		14.325000000000001	18.8
	8.018749999999999	10.4		14.168749999999998	17.4
	6.8187500000000005	11.6		13.6875	18.5
	7.00625	15.7		14.6125	19.2
	8.275000000000002	14.1		14.912500000000001	18.4
	8.13125	14.6		15.099999999999998	16.4
	8.4125	12.3		16.174999999999997	16.9
	9.38125	10.1		16.668750000000003	17.4
	8.39375	13		14.29375	16
	7.25	9		14.025	17.1
	8.075000000000001	7.9		15.225000000000001	17.7
	8.35625	10.2		16.26875	15.7
	9.331249999999999	8.8		15.149999999999999	17.6
	8.43125	6.1		14.318749999999998	11.7
	8.200000000000001	4.3		14.8875	13
	8.143749999999999	6.4		15.325000000000001	13.4
	7.781250000000001	5.7		15.1125	12.3
	7.400000000000001	7.4		15.40625	13.6
	7.9750000000000005	7.6		16.03125	13.9
	9.1625	5.2		16.00625	12.7
	8.793749999999998	2.7		16.13125	13.1
مارس	8.725000000000001	6.6		16.381249999999998	16.2
	8.14375	8.1		16.075	15.1
	8.7375	9.3		16.525	16.3
	10.112499999999999	11.4		17.46875	18.2
	11.281249999999998	10.5		17.331249999999997	17.1
	10.99375	9.1		17.5125	17.1
	10.000000000000002	10.9		16.3	17.4
	8.5	12.5		16.081250000000004	16.4
	8.98125	13.7		16.5375	18.3
	10.1625	11.9		17.3125	18.1
	9.843749999999998	13.9		16.7	17.3
	10.237499999999999	11.6		16.9875	17.8
	10.06875	12.2		17.4875	17.8
	10.087499999999999	11		17.48125	20.2
	10.5125	11.2		18.15625	19.9
	10.71875	14		17.84375	19.5
	10.975000000000001	13.4		17.89375	19.9
	11.875	12.7		18.1125	14.5
	11.424999999999999	11.1		18.406249999999996	17.7
	11.175	10.6		18.80625	19.1
	11.38125	15.1		18.98125	19.1
	12.306249999999999	12.6		18.568749999999998	19
	12.593750000000002	12.1		19.2375	21.4
	11.212500000000002	9.7		17.65	19.7
	11.881250000000001	8.7		18.268749999999997	16.4
	11.749999999999998	11.5		19.256249999999998	19.6
	12.200000000000001	17.3		19.4125	21.9
	12.25625	13.9		19.262500000000003	21
	13.049999999999999	13.5		19.81875	16.2
	12.36875	13.5		19.0125	18.3
	12.275	16.7		18.20625	18.1
أبريل	12.0625	17.6		19.412499999999994	21.9
	12.737499999999999	14.3		20.2	22.8
	13.675	14.6		19.606250000000003	20.6
	12.81875	16.4		20.7625	20.1
	13.44375	16.6		19.825	18
	13.000000000000002	17.1		20.55625	21.5
	13.762500000000003	15.4		20.80625	20.7
	14.875	13.4		21.2625	20.4
	13.675000000000002	16.3		20.09375	19.5
	13.918750000000001	15.2		20.056250000000002	17.7
	13.79375	15.1		20.743750000000002	17.8
	13.750000000000004	16.8		20.35625	20.7
	13.631249999999998	14.9		20.8	22.3
	13.606250000000001	14.6		20.2875	21.9
	14.15	16.4		20.8875	22.4
	14.393749999999999	15.6		20.78125	17.6
	14.6125	15.1		21.2125	18.6
	14.131249999999998	13.6		21.556250000000002	21.4
	14.206249999999997	15.4		21.424999999999997	21.7
	14.38125	14.3		21.575000000000003	18.7
	15.093749999999998	11.9		21.875000000000004	19.9
	15.481250000000001	15.5		22.224999999999998	17.9
	16.61875	15.3		22.01875	22.8
	15.68125	14.8		22.962500000000006	21.7
	16.25625	12.5		21.75	19.3
	16.6125	12.6		22.162499999999998	21.6
	16.60625	14.3		22.825000000000003	21.3
	15.881249999999998	14.3		22.781250000000004	22.5
	16.55	15.5		22.525	22.6
	16.2625	15.8		23.51875	23.6
مايو	16.112499999999997	16		23.1875	24
	17.11875	16.7		22.943749999999998	23.9
	17.2875	16.3		23.550000000000004	24.1
	17.425	16.1		23.337500000000002	25.3
	17.78125	17.4		23.4125	24.2
	17.75	20.7		23.41875	25.5
	16.86875	21		22.962500000000002	24.1
	17.08125	18.7		23.631249999999994	24.8
	17.6375	18.2		23.831250000000004	24.6
	17.3375	19.8		23.750000000000004	24.8
	17.75	20.6		24.0625	25.1
	17.9	20.9		23.4875	23.1
	17.79375	22		24.25	23.4
	18.49375	20.8		23.94375	24.2
	18.343750000000004	18.1		24.15625	26.8
	18.093750000000004	18.4		25.1125	25.7
	18.293750000000003	20		24.174999999999997	22.3
	18.38125	20.3		23.89375	22.7
	18.581249999999997	21.4		23.724999999999998	23.9
	18.475000000000005	21.2		24.199999999999996	25.3
	18.49375	20.8		24.6875	21.4
	18.7375	21.4		23.3875	26.2
	18.55	20.9		24.0125	24.6
	18.812499999999996	21.8		24.325	25.3
	19.287499999999998	21.5		24.7125	24.4
	19.674999999999997	16.1		24.750000000000007	19.5
	20.25625	16.4		25.137500000000003	23.4
	20.462500000000002	17.8		25.11875	25.8
	20.79375	18		25.762500000000003	25.3
	20.2	18.2		25.1125	24.3
	20.575000000000003	18.1		24.931250000000002	19.9
يونيو	20.562500000000004	18.9		25.375	23.5
	20.63125	20.7		25.5375	22.5
	20.837500000000002	20.8		25.099999999999994	23.1
	21.106250000000003	22.1		24.737499999999994	24.1
	20.775	22.9		26.249999999999996	25.2
	21.55	23.3		26.175000000000004	26.2
	21.53125	22.9		25.043749999999996	24.9
	21.462500000000002	21		25.687499999999996	23.6
	21.74375	20.3		26.343750000000004	21.9
	21.837500000000006	22.1		26.34375	25
	22.031249999999996	22.6		26.55625	27
	22.38125	22.5		26.39375	27.4
	22.225	21.9		26.712500000000002	26
	22.293749999999996	20.2		26.825000000000003	23.4
	22.650000000000002	19.8		27.287499999999998	26.1
	22.8375	22.6		27.037499999999998	23.9
	22.95	22.8		27.331249999999997	26.6
	23.1375	23.9		27.231250000000003	26
	23.40625	23.2		27.69375	25.1
	23.368750000000002	24.2		27.324999999999996	28.2
	23.393749999999997	24.9		27.775	29.2
	23.2625	24.8		27.900000000000006	28.4
	23.887500000000003	24.5		28.743750000000002	29.7
	24.16875	23.8		28.606250000000003	28.6
	23.8125	23.6		28.3125	28.8
	23.69375	24.6		28.0125	29.3
	24.031249999999996	25.2		28.175	29.8
	24.225	25.5		28.55625	30.4
	24.425	24.8		28.8	30.6
	24.393749999999997	24.7		29.056250000000002	30.6
يوليو	23.95	25.3		29.150000000000002	29.5
	23.781249999999996	25.5		29.318749999999998	30.1
	23.83125	25.6		29.006250000000005	30.3
	24.15625	25.2		29.000000000000004	30.9
	24.4	25.4		28.743750000000002	30.5
	24.812500000000004	25.2		29.15	31.8
	24.78125	25.2		29.175000000000004	30.9
	24.6625	25.3		29.756249999999998	31.4
	24.562499999999996	25.2		30.299999999999997	31.4
	24.69375	24.8		30.43125	32.1
	25.0125	25		29.700000000000003	33.3
	25.05	25.3		29.81874999999999	32.2
	24.86875	26.1		29.837500000000002	31.9
	25.0375	24.6		30.23125	32.3
	25.049999999999997	25.6		30.331249999999997	33.1
	25.000000000000004	25.6		30.45	32.7
	25.162499999999998	24.7		30.06875	32.7
	25.24375	25.2		30.637500000000003	34.2
	25.125	25.2		31.024999999999995	34.1
	25.143749999999997	26.3		31.068749999999998	33
	25.30625	25.4		30.368750000000006	31.1
	25.212499999999995	25		30.54375	31.2
	25.19375	26.8		30.06875	30.6
	25.518749999999997	26.5		30.450000000000006	27.6
	25.550000000000008	25.7		30.05625	26.9
	25.525000000000006	25.3		30.306249999999995	27.4
	25.456250000000004	24		31.05625	28.7
	25.193749999999998	23.1		30.325000000000003	28.7
	25.20625	23.9		30.675	28.6
	25.2625	22.7		30.543749999999996	28.5
	25.387500000000003		22.5	30.206250000000004		27.9
أغسطس	25.287500000000005		23.2	30.137500000000003		29.1
	25.237499999999997		23.5	30.056249999999995		29.6
	25.16875		23.8	30.24375		29.5
	25.268749999999997		23.9	30.35		30.9
	25.087500000000002		24.8	30.531250000000004		31
	24.91875		25.7	30.037499999999994		29.7
	25.356249999999996		25.4	30.4125		29.9
	25.26875		25.2	30.474999999999998		30.7
	25.212500000000006		25.3	30.531249999999996		30.4
	25.3125		25.3	30		30
	25.250000000000004		25.2	29.8125		29.6
	24.993750000000002		24.7	29.725		29.5
	24.306250000000006		24.4	29.862500000000004		29.8
	24.6375		24.6	29.924999999999997		29.7
	24.531249999999996		24.5	29.374999999999996		29.6
	24.462500000000002		24.5	29.49375		29.6
	24.4375		24.4	29.1875		29.5
	24.4		24.4	29.406250000000007		29.3
	24.31875		24.5	29.243749999999995		29.1
	24.131249999999998		24	28.793750000000006		28.8
	23.8375		23.8	28.6		28.6
	23.956250000000004		24	29.2125		29.4
	24.112499999999997		24.2	28.968749999999996		28.6
	23.956250000000004		23.9	28.5375		29
	23.818749999999998		23.7	29.062499999999996		29.2
	23.54375		23.5	29.08125		29.2
	23.431249999999995		23.5	29.3625		29.2
	23.550000000000004		23.6	29.08125		29.3
	23.781249999999996		23.9	28.493749999999995		28.4
	23.668749999999996		23.5	28.081250000000004		28.2
	23.83125			28.46875
سبتمبر	23.7625			28.2625
	23.768750000000004			28.99375
	23.699999999999996			28.24375
	23.650000000000002			28.80625
	22.799999999999997			27.799999999999997
	22.762500000000003			27.21875
	22.118750000000002			26.95
	22.018750000000004			27.349999999999994
	21.98125			27.75
	21.4125			26.656249999999996
	21.493750000000002			26.931250000000002
	21.593750000000004			27.074999999999996
	22.056250000000002			26.85
	22.05625			27.65625
	21.925000000000004			27.0125
	21.5625			27.05625
	21.137499999999996			26.843750000000004
	20.849999999999998			27.143749999999994
	20.618750000000006			26.90625
	20.7375			26.006249999999998
	20.743749999999995			26.0375
	20.16875			25.83125
	19.7625			25.937499999999996
	19.95625			25.231250000000003
	20.225			25.287500000000005
	19.8125			25.6625
	19.60625			25.14375
	19.1625			25.462499999999995
	18.831249999999997			24.906250000000004
	18.668750000000003			24.481250000000003
أكتوبر	18.581249999999997			23.875000000000004
	18.568749999999998			23.925
	17.8375			23.668749999999996
	17.89375			24.03125
	18.11875			23.937499999999996
	18.03125			23.90625
	17.41875			22.962499999999995
	17.456249999999997			22.93125
	18.25			23.087499999999995
	17.2625			22.993749999999995
	16.193749999999998			22.456250000000004
	15.475000000000001			22.506249999999998
	15.656249999999998			22.34375
	15.81875			21.412499999999998
	15.799999999999999			22.10625
	15.481250000000001			22.05625
	15.724999999999998			21.60625
	15.525			21.275
	15.362500000000002			21.112499999999997
	14.99375			21.34375
	14.293750000000001			20.81875
	14.068750000000001			21.33125
	15.106249999999998			21.74375
	15.09375			21.9
	15.44375			21.731250000000003
	14.387499999999998			20.643750000000004
	14.293750000000003			19.8
	14.612499999999999			19.45
	14.25625			19.618750000000006
	13.5125			19.56875000000001
	13.2875			19.706249999999997
نوفمبر	12.693750000000001			19.5375
	12.6375			18.8375
	12.893749999999997			18.7
	13.475			18.83125
	12.856250000000001			18.05625
	12.4125			18.731250000000003
	11.643750000000002			18.50625
	12.606250000000001			18.531249999999996
	12.299999999999999			18.631249999999998
	11.975			17.406249999999996
	10.818750000000001			17.393749999999997
	10.868749999999999			16.9
	11.331249999999999			17.94375
	11.63125			17.13125
	10.925			17.000000000000004
	10.743749999999999			17.124999999999996
	10.424999999999999			16.656250000000004
	9.656249999999998			15.51875
	9.706249999999999			16.075000000000003
	9.968750000000002			15.637500000000003
	9.000000000000002			14.95
	8.69375			14.793750000000001
	8.35			14.743749999999999
	7.74375			14.499999999999998
	7.71875			14.256250000000001
	8.899999999999999			15.606250000000001
	9.525			15.4375
	8.30625			14.1375
	8.262500000000001			14.549999999999999
	8.143749999999999			14.674999999999999
ديسمبر	7.66875			14.143749999999999
	7.574999999999999			13.181249999999999
	6.443749999999999			11.48125
	5.824999999999999			11.718750000000002
	6.1375			13.106250000000001
	7.131249999999999			13.575
	7.406250000000001			14.043750000000001
	7.631249999999999			14.087499999999999
	7.4625			14.168750000000001
	6.356250000000002			12.975
	5.8375			11.3375
	5.912499999999999			11.5125
	5.574999999999999			12.381250000000001
	5.806249999999999			12.8125
	6.856250000000002			12.837499999999997
	6.425000000000001			13.181249999999997
	5.5			12.693333333333332

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

34°C

أعلى درجة حرارة

1 أغسطس 26

0°C

أدنى درجة حرارة

9 فبراير 26

التفصيل الموسمي

أحر شهريوليو30.27°C

أبرد شهريناير5.04°C

أكثر شهر أمطارًايونيو29.92mm

أكثر شهر رياحًايناير23.01km/h

Kaneyama 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 Kaneyama تاريخيًا?

أغسطس هو تاريخيًا أحر شهر في Kaneyama، مع متوسط درجات حرارة قصوى تبلغ حوالي 30°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 35°C في 2020-08-17.

2. ما هو أبرد شهر في Kaneyama تاريخيًا?

يناير هو أبرد شهر في Kaneyama، مع متوسط درجات حرارة دنيا تبلغ حوالي 5°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -2°C في 2016-01-25.

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

يبلغ متوسط هطول الأمطار السنوي في Kaneyama تقريبًا 2718.3mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Kaneyama تاريخيًا حوالي 209.7 يوم مطر سنويًا. يشهد يونيو أكبر عدد من أيام الأمطار بمتوسط 24.5 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Kaneyama هي 35°C في 2020-08-17.

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

أدنى درجة حرارة مسجلة على الإطلاق في Kaneyama هي -2°C في 2016-01-25.

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

تشهد Kaneyama أقوى رياحها خلال يناير. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 68.1 كم/ساعة في 2018-09-30.

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

عادةً، تبلغ رطوبة Kaneyama ذروتها في يونيو بحوالي 85.9% وتنخفض إلى أدنى مستوياتها في يناير بحوالي 71.3%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Kaneyama السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaneyama 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

Kaneyama السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Kaneyama 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

Kaneyama السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا