Huaibei السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Huaibei رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.3125000000000004	0		7.987500000000002	4.6
	-1.1812500000000004	-3.7		7.43125	3.6
	-1.4500000000000006	-2.3		7.568750000000001	7.5
	-1.43125	1.8		6.8062499999999995	7
	-1.3687500000000001	3.6		5.75625	7.9
	-2.2	0.1		5.706249999999999	7.3
	-2.61875	-0.7		4.79375	8.4
	-2.7062500000000003	0.1		6.425	8.3
	-2.5437499999999997	1.1		5.96875	12.6
	-2.743749999999999	-0.6		5.9750000000000005	6.3
	-1.8562499999999995	-3.9		6.624999999999999	3.4
	-2.4250000000000003	0.1		6.8999999999999995	13
	-1.5437500000000002	2.7		7.443749999999999	11.4
	-2.2125000000000004	6		7.518750000000001	15.1
يناير	-2.51875	4.9		5.84375	16.3
	-2.1937500000000005	4.3		5.625	16.2
	-2.3062500000000004	-0.3		6.8500000000000005	8.2
	-1.6812500000000001	0.4		7.99375	4.1
	-0.80625	-4.7		8.924999999999999	0.3
	-1.2937500000000002	-9.6		6.906250000000001	-2.7
	-1.5375	-11.2		6.731249999999999	-2.3
	-2.15625	-5.2		6.093750000000002	2.2
	-2.26875	-3.7		6.86875	6.4
	-2.23125	-1.1		5.9750000000000005	8.3
	-1.6500000000000001	-0.4		6.075	5.8
	-2.2937499999999997	1.3		6.45	3.8
	-1.94375	0.5		6.76875	6.8
	-1.45625	0.1		6.5125	7.9
	-1.45	0.4		7.8625	8.3
	-0.9749999999999999	1.5		8.71875	6.6
	-0.30000000000000004	1.2		8.531249999999998	6.6
	-1.1312499999999999	1.2		7.206250000000001	9.7
	-1.7937500000000002	2		6.843749999999999	11
	-1.25625	3		7.387499999999999	11.5
	-1.5625	4.6		8.306249999999999	14.2
	-1.35	5.7		7.94375	15.6
	-0.5999999999999999	-2.1		8.6125	4.4
	-1.15	-2.8		6.01875	3.6
	-2.0625	-2.2		5.88125	6.3
	-1.64375	-1.5		7.156249999999999	7.8
	-1.4562499999999998	0.9		8.28125	12
	-0.5124999999999996	2.7		8.75625	13.5
	-0.3937500000000002	4.3		9.243750000000002	16.1
	0.12499999999999989	6.1		10.4875	17.2
	0.9374999999999999	8.1		10.23125	20.5
فبراير	0.3125	3.7		8.412499999999998	12.9
	0.21874999999999992	0.6		9.381250000000001	6.8
	-0.39375	0.4		9.24375	9.9
	0.46875000000000006	2		9.181249999999999	13.5
	0.03125000000000003	5.2		11.06875	16.6
	-0.09999999999999998	6.4		10.306249999999999	20.7
	0.8500000000000001	10.1		10.21875	22.6
	1.2125	9.6		10.612499999999997	16
	1.0437500000000004	4		11.45	11
	2.10625	3.6		12.525	7.8
	2.2312499999999997	4.2		12.2	13
	2.4625	5.3		12.075000000000001	8
	2.7812499999999996	5.6		12.10625	11.3
	3.8187500000000005	6.6		12.10625	9.9
	2.6187500000000004	5.1		10.768749999999999	7.4
	1.14375	4.8		11.475000000000001	6.3
	2.2062499999999994	3.5		12.5625	12.1
	2.73125	4.6		14.293750000000001	13.4
	3.6437500000000003	6		13.293750000000001	11.2
	3.4249999999999994	5.1		12.85625	12.1
	2.95625	1.9		13.8125	9.8
	4.050000000000001	2.1		15.24375	12.6
	3.8812499999999996	6.1		14.9375	13.4
	3.2874999999999996	3.7		14.6375	15.7
	4.481249999999999	7.3		16.7	16
	5.387499999999999	6.4		16.387500000000003	14.7
	4.999999999999999	4.8		16.1875	15.5
	5.21875	5.6		15.8875	16.5
مارس	5.075	7.8		17.181250000000002	10.7
	5.012499999999999	6.4		16.0625	14.2
	5.425	5.2		15.875000000000002	11.8
	6.3187500000000005	7.7		16.14375	12.7
	6.58125	3.6		16.28125	13.9
	5.65625	7.8		15.15625	16.3
	4.875	7.9		15.731250000000001	17.5
	6.04375	9.6		17.181250000000002	20.3
	6	11.3		16.3875	19.4
	6.98125	8.9		16.83125	17.7
	6.393749999999999	8		16.8375	20.7
	6.8125	12.6		18.05625	22.2
	6.993750000000001	12		19.4	22.2
	8.05	10.1		19.737499999999997	20.2
	7.50625	10.9		19.687499999999996	24
	8.825000000000001	12.4		18.84375	17
	8.1125	9.3		18.95625	19.2
	8.05625	10.8		19.656250000000004	22.6
	8.106250000000001	12		20.006249999999998	22.5
	8.36875	12.6		19.293750000000003	20.7
	7.643750000000001	8.5		17.59375	19.7
	7.78125	11.8		18.487499999999997	25.4
	7.793749999999999	11.3		18.5375	20.8
	7.8687499999999995	9.2		19.36875	19.7
	8.649999999999999	8.4		21.881250000000005	15.3
	9.306250000000002	12.2		21.968749999999996	19
	10.137500000000001	13		22.349999999999998	24.4
	10.11875	13.4		21.36875	23.3
	9.44375	11.3		19.80625	20.7
	9.4	10.3		20.71875	15.3
	9.61875	12.1		21.437500000000004	20.8
أبريل	10.26875	11.6		23.400000000000002	22.6
	10.999999999999998	13.2		23.437499999999996	18.3
	11.662500000000001	12		24.2125	25.1
	11.83125	15		23.443750000000005	25.9
	10.756250000000001	12		22.037499999999998	26.2
	10.943750000000001	10.7		22.212500000000002	17.9
	11.13125	8.1		20.331249999999997	15.7
	11.556249999999999	8.2		20.9875	10.1
	11.7125	7.8		23.00625	20.3
	12.04375	9.2		23.256249999999994	22.6
	11.381250000000001	11		22.643749999999994	23.8
	12.237499999999999	12.6		23.65	26.8
	11.95625	16.6		23.94375	26.5
	12.3875	13.1		24.06875	19.5
	12.612499999999997	10.8		25.381249999999998	21.2
	13.46875	9.7		27.28125	22.9
	13.81875	12.1		26.59375	26
	14.081249999999999	13.6		26.062499999999993	17.1
	13.59375	13		26.168749999999996	23.1
	14.4875	12.1		26.131249999999994	25.7
	14.487499999999999	15.1		25.91875	28.9
	14.875	16.3		25.65	30
	14.43125	15.2		26.5125	24
	14.9125	11.9		24.63125	23.5
	14.23125	12		24.743750000000002	26.2
	14.225000000000003	13.9		24.45	29.8
	13.999999999999998	17.7		25.099999999999998	32.6
	14.9625	17.8		27.46875	32.7
	15.8875	20		27.806250000000002	32.2
	16.33125	20		28.01875	32.6
مايو	16.818749999999998	18.2		27.13125	29.7
	15.731250000000001	17		27.24375	31.2
	16.70625	19.4		28.087499999999995	30.7
	16.96875	19.4		29.325000000000003	21.7
	17.66875	18.6		29.375	20.7
	17.431250000000002	17.8		29.237499999999997	25
	17.268749999999997	14.4		28.743749999999995	28
	17.256249999999998	18.2		27.987499999999997	29
	16.587500000000002	19.8		28.66875	30.4
	17.5125	18.8		28.381249999999994	23.7
	17.968750000000004	20.5		29.8375	27.8
	18.18125	18.1		28.168750000000003	20.8
	18.549999999999997	17.4		29.881249999999998	27
	18.5625	21.6		29.962499999999995	31.6
	18.587500000000002	19.9		29.8875	30.5
	19.49375	20.4		30.331249999999997	32.2
	19.387499999999996	20.2		29.843750000000004	32.3
	19.58125	21		31.11875	32.6
	19.856250000000003	22		30.58125	35.8
	19.618749999999995	24		30.525000000000002	36.2
	19.26875	22.3		30.40625	35.1
	20.16875	20.7		32.10625	34.4
	21.081250000000004	20.8		31.506249999999998	34.6
	20.46875	17.3		32.012499999999996	25.4
	21.324999999999996	18.3		32.7125	29.8
	21.624999999999996	18.1		32.568749999999994	32.5
	21.387500000000003	22.9		31.15625	33.7
	20.98125	20.6		32.6125	35.8
	21.537499999999998	23.4		33.5	35.7
	21.94375	21.9		33.15	33.2
	22.1125	20.3		33.2375	33
يونيو	22.487499999999997	20.5		33.5625	32.4
	22.41875	20.5		32.28125	34.3
	22.418750000000003	22.3		32.131249999999994	35
	22.40625	25.3		31.393750000000004	35.2
	21.668750000000003	20.3		31.806249999999995	22.5
	22.0875	19.6		31.799999999999997	32.5
	22.49375	19.8		32.86875	33.2
	22.806250000000002	19.3		32.90625	21.5
	22.937499999999996	18.6		32.449999999999996	29
	22.64375	19.5		32.00625	31.8
	22.33125	20.7		30.131249999999998	32.2
	21.8375	21.3		31.51875	31.6
	22.293750000000003	21.3		32.150000000000006	34.4
	23.306250000000002	23.1		32.612500000000004	36.4
	22.6875	24.7		31.568749999999998	36.6
	23.174999999999997	24.9		32.606249999999996	35.8
	23.575000000000003	23.6		32.112500000000004	35.8
	23.862499999999997	25.7		32.849999999999994	36.8
	23.94375	22.1		32.106249999999996	27.5
	23.39375	22.2		31.774999999999995	30.8
	23.08125	25		31.26875	32.7
	23.412499999999998	25.5		31.425	35.3
	23.7	23.1		31.85	28.3
	23.862500000000004	23		32.618750000000006	35.3
	24.243750000000006	26.3		32.0125	35.2
	24.025	26		31.568749999999998	36.7
	24.118750000000002	25.3		32.69375	36.7
	24.174999999999997	25.1		32.225	31.3
	23.98125	25		32.78125	28.2
	24.65625	26		32.96875	36.5
يوليو	24.131249999999998	27.7		31.562500000000004	34.2
	23.362499999999997	27.1		30.900000000000002	34.2
	23.256249999999998	22		30.456249999999997	31.8
	23.6	23.1		30.9125	30.8
	23.825	23.3		30.78125	31.4
	23.987500000000008	21.7		31.487499999999997	32.6
	24.175	22.5		32.9875	33.3
	24.912499999999998	23.5		33.29375	32.2
	25.193750000000005	23.7		32.84375	32.6
	25.006249999999998	22.8		33.56875	33.5
	25.537500000000005	22.1		33.65625	34.4
	25.268749999999997	26.4		33.46875	35.3
	24.80625	25.8		32.599999999999994	33.6
	24.71875	25.9		32.112500000000004	28.5
	24.975	25.2		32.40625	33.1
	25.10625	24.9		32.975	33.5
	25.306250000000002	26.3		32.993750000000006	34.6
	25.25	26.6		33.14375	35.4
	25.10625	26.5		32.8125	36.3
	25.14375	26.2		33.25	36.4
	25.425	26.1		33.48125	34.9
	25.643749999999997	24.3		33.300000000000004	33.2
	25.262500000000003	24.7		32.45	33.7
	24.8625	25.8		31.693749999999994	34.9
	24.6875	24.8		32.199999999999996	34.1
	24.262500000000003	21.5		31.618750000000002	31.6
	23.925	22.9		31.625	25.3
	24.399999999999995	23.3		32.09375	25.2
	24.09375		22.6	32.037499999999994		25.4
	24.3625		22.2	31.599999999999998		27.9
	24.043749999999996		20.9	32.168749999999996		28.2
أغسطس	24.1		22.5	31.825		29.3
	23.849999999999998		21.8	31.943749999999994		29.8
	23.68125		21.7	31.881249999999998		31.2
	24.000000000000004		22.9	31.45		29.9
	23.65		23.2	31.14375		29.7
	23.1375		24	30.325000000000003		29
	22.743750000000002		22.4	30.868749999999995		30.4
	22.556250000000002		22.6	30.581249999999997		30.5
	22.343749999999996		22.3	29.431250000000002		29.8
	21.756249999999998		21.8	29.78125		29.8
	21.449999999999996		21.5	29.406249999999996		29.5
	21.2125		21.2	28.906250000000004		28.2
	20.737499999999997		20.4	27.00625		27.2
	20.64375		20.9	28.275000000000002		29
	20.687500000000004		20.3	28.806249999999995		28.8
	20.225		20	28.375		28.1
	20.118750000000002		20.2	28.425000000000004		28.4
	20.393749999999997		20.3	28.975		29
	20.662499999999998		20.1	28.85		28.4
	20.04375		19.7	28.45		28.3
	19.3375		19.8	27.937500000000004		28.5
	19.90625		20.2	28.762499999999996		29.2
	20.200000000000003		20.3	28.35		28
	19.668749999999996		19.7	28.237500000000004		28.1
	19.487499999999997		19.3	28.149999999999995		27.6
	19.53125		19.3	27.9875		28
	19.7375		19.7	28.3375		27.6
	19.731249999999996		19.5	27.893750000000004		27.2
	19.11875			26.362500000000004
	18.85			27.599999999999998
	19.50625			27.75
سبتمبر	19.000000000000004			27.3375
	18.799999999999997			27.18125
	18.73125			26.80625
	18.356250000000003			26.0375
	18.018749999999997			26.393749999999997
	18.09375			26.181250000000002
	17.212500000000002			27.212500000000006
	16.93125			26.0625
	16.55625			25.950000000000003
	16.80625			25.2
	17.1875			25.19375
	17.6625			25.937499999999996
	17.94375			25.281250000000004
	17.5125			25.48125
	16.53125			25.55
	16.0375			25.418750000000003
	16.29375			24.925
	16.331250000000004			25.08125
	15.125000000000002			24.7625
	14.475			23.425
	13.987500000000002			22.79375
	13.643749999999999			22.200000000000003
	14.03125			22.26875
	14.937499999999998			23.68125
	14.4125			23.918750000000003
	13.85625			22.85625
	13.287500000000001			22.287499999999998
	13.612499999999999			22.04375
	13.75			22.506249999999994
	13.76875			22.331249999999997
أكتوبر	13.10625			21.349999999999998
	13.318749999999998			21.8375
	12.931249999999997			21.487499999999997
	11.88125			21.2
	11.75			21.200000000000003
	12.0625			20.131249999999994
	11.73125			21.031249999999996
	12			21.400000000000002
	11.80625			20.91875
	10.93125			20.75
	10.6625			19.381249999999998
	10.756249999999998			19.668750000000003
	10.256250000000001			19.593750000000004
	11.612499999999999			20.650000000000002
	10.63125			19.900000000000006
	10.668750000000001			19.81875
	10.249999999999998			19.849999999999998
	10.70625			19.80625
	9.912500000000001			19.575
	9.512499999999998			19.374999999999996
	9.281250000000002			18.61875
	9.318750000000001			17.3625
	9.162500000000001			17.53125
	8.3625			17.05625
	8.18125			16.650000000000002
	7.6000000000000005			17.21875
	7.624999999999999			16.75625
	8.125			16.243750000000002
	7.2875000000000005			16.81875
	6.799999999999999			16.462500000000002
	6.85625			16.59375
نوفمبر	7.831250000000001			16.91875
	7.65			16.0625
	7.356249999999999			15.31875
	5.956249999999999			14.143749999999999
	6.21875			14.84375
	6.2875000000000005			15.218750000000002
	6.9312499999999995			14.768749999999999
	6.056249999999999			14.006249999999998
	4.66875			11.85
	2.6062499999999997			10.775
	2.4625			11.36875
	2.4312499999999995			11.031250000000002
	3.3625000000000003			12.174999999999999
	3.6250000000000004			12.262500000000001
	3.1875			11.168750000000001
	2.1875			9.53125
	1.225			10.1875
	1.25			10.25
	1.2625			10.05
	1.225			10.600000000000001
	1.7062499999999998			10.949999999999998
	1.09375			10.125000000000002
	0.58125			10.375
	1.4687499999999998			10.412500000000001
	1.6875			10.2625
	1.3875			9.5875
	-0.24375000000000002			7.831250000000001
	-0.42500000000000004			7.88125
	-0.56875			8.306249999999999
	0.04374999999999993			7.71875
ديسمبر	0.06249999999999989			7.050000000000002
	-1.4999999999999998			6.16875
	-2.2499999999999996			6.449999999999999
	-1.56875			7.818750000000001
	-0.84375			8.40625
	-1.4			7.325000000000001
	-0.93125			7.462500000000001
	-0.6625000000000001			7.468749999999999
	-1.05625			7.631249999999999
	-2.15			6.281249999999999
	-1.84375			6.4125000000000005
	-1.4125			6.35
	-1.5250000000000001			6.781249999999999
	-1.0125000000000002			7.58125
	-1.1			7.94375
	-2.2375			6.893750000000001
	-3.58			5.826666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

37°C

أعلى درجة حرارة

2 يوليو 26

-11°C

أدنى درجة حرارة

21 يناير 26

التفصيل الموسمي

أحر شهريوليو33.12°C

أبرد شهريناير-0.56°C

أكثر شهر أمطارًاأغسطس10.57mm

أكثر شهر رياحًاأغسطس20.38km/h

Huaibei 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 Huaibei تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Huaibei، مع متوسط درجات حرارة قصوى تبلغ حوالي 32°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 42°C في 2025-06-17.

2. ما هو أبرد شهر في Huaibei تاريخيًا?

يناير هو أبرد شهر في Huaibei، مع متوسط درجات حرارة دنيا تبلغ حوالي -2°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -14°C في 2015-11-27.

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

يبلغ متوسط هطول الأمطار السنوي في Huaibei تقريبًا 863.3mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Huaibei تاريخيًا حوالي 127.2 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 21.1 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Huaibei هي 42°C في 2025-06-17.

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

أدنى درجة حرارة مسجلة على الإطلاق في Huaibei هي -14°C في 2015-11-27.

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

تشهد Huaibei أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 43.6 كم/ساعة في 2025-06-17.

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

عادةً، تبلغ رطوبة Huaibei ذروتها في أغسطس بحوالي 78.9% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 50.6%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Huaibei السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Huaibei 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

Huaibei السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Huaibei 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

Huaibei السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا