Beihai السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Beihai رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	14.593749999999998	19.2		19.625	22.8
	15.03125	14		19.60625	19.7
	14.806249999999999	14		19.706249999999997	19.8
	15.331249999999997	15.8		19.275	21.1
	15.9625	15.8		19.63125	19.2
	15.431249999999999	13.4		19.700000000000003	18.2
	15.393750000000002	11.6		19.075	19.3
	14.225000000000001	12.7		18.55625	19.6
	13.93125	14		17.981250000000003	18
	14.425000000000002	15.1		18.3	19.2
	13.56875	15.5		17.1625	19.8
	12.606250000000001	16.5		16.943749999999998	19.8
	13.6125	17.1		17.80625	21.8
	14.9375	17.6		19.231250000000003	21
يناير	14.274999999999999	17.6		19.375	21.2
	13.662499999999998	18.7		19.193749999999998	21.2
	13.437500000000002	18.6		18.268749999999997	21.5
	13.86875	18.4		19.4	22
	14.406250000000002	17.8		19.518749999999997	22
	14.943749999999998	17.6		19.662500000000005	22.1
	15.262500000000003	17.2		19.86875	21.1
	14.256249999999998	11.7		19.4625	15.3
	13.793749999999998	10.2		17.81875	17.8
	14.149999999999999	14.9		17.818749999999998	19.3
	14.231250000000001	17.2		18.25625	20.5
	13.862499999999999	17.2		18.287499999999998	21.9
	14.100000000000001	18		18.512499999999996	22.1
	14.249999999999998	16.3		18.625	22.5
	13.837500000000002	18.6		18.51875	22
	14.343749999999998	18.3		18.6	21.5
	14.706249999999999	16.7		18.993750000000002	20.2
	14.925	17.5		19.4625	21.8
	15.39375	16.3		19.86875	21.2
	15.543750000000001	16.6		19.437500000000004	21
	15.575000000000003	17.6		19.300000000000004	21.9
	16.025000000000002	18.9		19.9	21.9
	16.387500000000003	18.9		20.387500000000003	22.9
	15.899999999999999	19.9		20.23125	23.4
	14.64375	14.2		19.206250000000004	20.1
	14.318749999999998	14.1		18.39375	20.4
	14.618750000000002	18.3		19.325	21.9
	14.562499999999998	19		19.4	22.8
	14.881250000000001	18.7		19.418750000000003	22.9
	15.068749999999998	19.1		20.025	22.7
	15.26875	19.1		19.756249999999998	22.4
فبراير	15.39375	19.7		19.525000000000002	22.7
	14.931249999999999	19.9		19.25625	24.1
	16.031249999999996	19.4		19.725	21.7
	15.95	20.2		19.775	23.3
	15.41875	19.6		19.762500000000003	23.6
	15.74375	17.3		19.843750000000004	22.5
	16.493750000000002	19.8		20.65625	22.5
	16.5375	20.2		20.175	24
	15.468750000000004	20.7		20.14375	22.6
	16.131249999999998	20.6		20.30625	24.8
	16.162499999999998	21.2		20.037499999999998	24.1
	16.53125	20.8		21.10625	23.1
	17.025	21.2		21.150000000000002	24.2
	17.981250000000003	21.9		22.025000000000002	24.8
	17.81875	22.2		22.6375	25.6
	17.19375	22.4		22.20625	26.5
	17.343749999999996	17.1		21.59375	22.8
	18.056250000000002	17.5		22.456250000000004	20.8
	18.7875	19.2		23.00625	23.4
	18.225	20.5		22.44375	22.9
	17.3875	19.8		21.268749999999997	23.3
	16.925	19.7		20.800000000000004	23
	16.6875	17.4		20.712499999999995	23.2
	17.193749999999998	14.5		21.281249999999996	20.9
	17.481250000000003	16.9		21.612499999999997	20.8
	18.431250000000002	19		21.756250000000005	24.1
	19.05625	19.1		22.55625	23.1
	19.443749999999998	18.7		22.875	23.1
مارس	18.63125	19.6		23.25625	23.8
	18.73125	19.6		21.818750000000005	23
	19.193749999999998	20.3		22.656250000000004	23.3
	19.612500000000004	20.9		23.4625	24.3
	20.01875	21.3		24.23125	24.5
	20.281250000000004	21.4		24.493750000000002	25.2
	19.906249999999996	21.7		24.11875	25.7
	19.799999999999997	22		24.14375	25.1
	19.512500000000003	22.4		23.68125	25.1
	19.15625	22.2		24.099999999999998	25.5
	19.075000000000003	22.2		23.65	26.4
	19.306250000000002	22.9		23.775	26.3
	19.625000000000004	22.9		23.16875	26.7
	20.256250000000005	23.4		24.2625	27
	20.325	23.8		24.23125	26.7
	20.625000000000004	23.7		23.987499999999997	26.4
	20.424999999999997	23.8		24.3625	27.2
	20.193749999999998	21.4		24.312499999999996	27.6
	20.5875	23.1		24.525	26.6
	21.4375	23.4		25.16875	26.9
	21.80625	24		25.668750000000003	29.6
	21.66875	23.7		25.5875	27.8
	21.062500000000004	24.1		25.012500000000003	27.7
	20.56875	24.1		24.793749999999996	29.6
	20.400000000000002	24.1		23.962500000000002	29.4
	20.706250000000004	24.4		24.54375	27.6
	21.71875	23.9		24.806249999999995	27.7
	22.0375	24.2		25.343749999999996	27.8
	22.087500000000002	24.6		25.956250000000004	28.3
	21.743750000000002	24.1		25.7875	29
	21.600000000000005	24.3		26.31875	28.8
أبريل	21.562499999999996	24.2		25.30625	28.6
	21.6875	24.6		25.381249999999998	28.5
	22.062499999999996	24.1		25.712500000000002	28.6
	22.862500000000004	22.7		26.200000000000003	27.5
	23.15	24.7		26.43125	27
	23.79375	24.8		27.318749999999994	26.7
	23.66875	24.4		27.5	27.3
	23.1	24.5		27.24375	27.3
	22.887499999999992	22.5		27.075	26.6
	23.631249999999994	21.9		27.13125	26.2
	23.26875	23		26.750000000000004	26
	22.743750000000002	23.8		26.625	26.6
	22.76875	24.8		26.575	26.8
	23.4	25.1		27.543750000000003	27.2
	23.6	19.3		27.062499999999993	23.4
	23.631250000000005	18.2		26.931249999999995	25.9
	23.431250000000002	22.7		27.175	25.8
	23.98125	24.2		27.23125	27.1
	24.2	21.3		27.66875	28
	24.331249999999997	18		27.9875	25.6
	24.69375	22.8		28.224999999999998	26.1
	24.999999999999996	24.7		28.26875	27.2
	25.412499999999998	25.4		28.531249999999996	28.1
	25.475	24		28.05	28.6
	25.581249999999997	22.1		28.756249999999998	26.7
	25.4625	22.9		28.575000000000003	27
	25	24.7		28.643749999999997	27.5
	25.193749999999998	25.7		28.268749999999997	28.2
	25.6875	26.5		28.181250000000002	28.9
	25.724999999999998	27		28.44375	29.8
مايو	25.662499999999994	27.6		28.75	30.2
	25.225	26		28.6875	27.6
	25.59375	25.5		29.225	29.2
	26.349999999999994	26.2		28.88125	28.9
	26.537499999999998	26.1		29.05	28.8
	26.55625	25.4		29.600000000000005	27.7
	26.7	26.1		29.4875	29.8
	26.5625	27.5		29.650000000000002	29.3
	25.956249999999994	27.9		29.287499999999998	29.8
	25.73125	28.6		29.306250000000002	30.1
	25.887499999999996	29.1		28.924999999999997	30.2
	26.55625	29		29.462500000000002	30.6
	26.618750000000002	28.2		29.868750000000002	31.6
	26.825	28.1		30.081250000000004	31.3
	27.10625	28		29.862500000000004	31.1
	27.4	26.8		29.9375	31.2
	27.4	27.1		29.956250000000004	30.9
	27.349999999999998	28.3		30.037499999999998	30.4
	27.19375	28.8		30.025000000000002	30.9
	27.525000000000006	28.9		30.33125	31.4
	27.5	29.1		30.3875	31.7
	27.28125	29		29.981250000000003	31.5
	26.95625	29.2		30.000000000000004	30.7
	27.38125	29.7		29.7125	30.9
	27.675000000000004	24.1		29.831249999999997	31.2
	27.91875	21.5		29.98125	28.4
	27.59375	25.2		30.049999999999997	29
	27.2375	25		29.837499999999995	29.3
	27.512500000000003	27.3		30.143749999999997	29.4
	27.781250000000004	28.2		30.575	30.1
	27.468750000000004	26.9		29.912499999999998	29.6
يونيو	27.750000000000004	27.6		30.006249999999998	30.2
	27.781250000000007	26.6		29.768750000000004	27.8
	27.86875	26.4		30.1	28.2
	27.993750000000002	27.2		30.10625	29.4
	28.506249999999998	29		30.53125	30.7
	28.59375	28.6		30.81875	30.7
	28.5875	28.6		30.7	30.8
	28.4875	28.4		30.881249999999998	30.8
	28.062499999999996	28.6		30.4625	30.8
	27.71875	29.4		30.037499999999998	31.4
	27.65	29.4		29.84375	31.7
	27.900000000000002	27.4		30.068749999999998	30.8
	28.518749999999994	26.3		30.268749999999997	31.1
	28.45625	28.3		30.581250000000008	30.6
	28.28125	28.5		30.506250000000005	31.7
	28.25625	27.5		30.71875	30.9
	28.318749999999998	27.6		30.699999999999992	30.4
	28.28125	27.5		30.281249999999993	31.4
	28.3125	27.2		30.30625	30.1
	28.425	25.9		30.55	28.1
	28.318749999999998	26.2		30.325	26.7
	28.175	26.6		30.281250000000004	28
	28.19375	26		30.45	27.8
	28.137499999999996	27.4		30.60625	29.3
	28.193749999999998	28		30.725000000000005	29.3
	28.006249999999998	27.8		30.3	29.6
	28.14375	27.8		31.056249999999995	29.9
	28.512499999999996	28		31.006249999999994	30
	28.556250000000002	28.4		30.912500000000005	30.4
	28.4	28.5		30.812500000000004	29.8
يوليو	28.45625	26.6		30.8125	28.1
	28.337500000000002	28.2		30.768749999999997	29.8
	28.237500000000004	28.2		30.862499999999997	29.7
	28.224999999999998	28.5		30.56875	29.8
	28.206249999999997	28.6		30.687499999999996	29.9
	28.025000000000002	28.1		30.743750000000002	29.2
	28.037500000000005	26.8		30.60625	28.5
	27.95	27.8		30.5	30
	28.05	28.1		30.387499999999996	30.2
	27.868749999999995	27.3		30.50625	30.8
	27.9375	26.9		30.412500000000005	30.3
	28.05625	28.3		30.474999999999994	30
	28.325	28.4		30.5	30.1
	28.11875	28		30.668750000000003	30.9
	27.9125	27		30.412499999999998	30.9
	27.7625	26.8		30.293750000000003	28.9
	28.224999999999998	27.1		30.15	30
	27.85625	26.9		30.356250000000003	29.4
	27.76875	27.4		30.21875	29.5
	28.00625	27.6		30.0875	29.8
	27.8875	27		29.987499999999997	29.8
	27.85625	26.6		30.23125	29.8
	27.724999999999994	26.7		30.187500000000004	29.1
	27.974999999999994	26.4		30.393750000000004	30.3
	28.256249999999998	27.6		30.44375	32.2
	28.38125	29.1		30.7375	33.7
	28.362500000000004	28.8		30.368749999999995	33.8
	28.45	29.6		30.39375	32.9
	28.2625		29.6	30.368749999999995		31.2
	28.000000000000004		28.8	30.381249999999998		32.5
	27.837500000000002		29.6	29.93125		32.2
أغسطس	27.46875		29.2	29.90625		31.9
	27.625		28.8	30.049999999999997		31.4
	27.88125		28.5	30.143750000000004		31.4
	27.55		29.2	29.931250000000002		32.1
	27.725		27	30.21875		31.6
	27.556250000000002		27.6	30.11875		30.2
	27.71875		27.8	30.14375		30.2
	28.1875		28.1	30.381249999999998		30.5
	28.056250000000002		28	30.64375		30.7
	27.73125		27.9	30.5		30.8
	27.7375		27.8	30.412499999999994		30.5
	27.743750000000002		27.8	30.737499999999994		30.9
	27.781249999999996		27.8	30.412500000000005		30.6
	27.368750000000002		27.4	30.25		30.2
	27.156249999999996		27.3	30.293750000000003		30.3
	27.45625		27.5	30.212500000000002		30.4
	27.362499999999997		27.4	30.500000000000004		30.6
	27.2875		27.2	30.5		30.7
	27.4125		27.4	30.349999999999998		30.3
	27.15		27.4	30.175		30.4
	27.6625		27.6	30.4625		30.3
	27.562500000000007		27.5	30.612499999999997		30.8
	27.606250000000003		27.5	30.84375		30.9
	27.549999999999997		27.4	30.493750000000002		30.3
	27.031249999999996		27.3	29.7		30
	27.13125		27	30.0875		30.3
	26.975		27.1	30.1375		30.1
	27.231250000000006		27.2	29.96875		29.9
	26.90625			29.806250000000002
	26.787499999999998			29.906250000000004
	26.537499999999998			29.975000000000005
سبتمبر	26.806250000000002			30.1125
	26.65625			30.099999999999998
	27.087500000000006			30.29375
	27.518749999999997			30.66875
	27.187499999999996			30.23125
	26.70625			29.987500000000004
	26.24375			29.825
	26.181249999999995			29.849999999999994
	26.18125			29.775
	25.806250000000002			29.3125
	25.650000000000002			29.3
	25.718749999999996			28.849999999999998
	25.943749999999994			30.25625
	26.225			29.6625
	26.0625			29.575000000000003
	26.2875			29.599999999999994
	26.181250000000002			29.2625
	25.474999999999998			29.600000000000005
	25.306250000000002			29.16875
	25.13125			28.668750000000003
	25.000000000000004			28.506250000000005
	24.75			28.8875
	24.487500000000004			28.893749999999997
	24.462500000000002			29.0125
	24.2875			28.525000000000002
	23.987499999999997			27.76875
	23.699999999999996			27.931249999999995
	23.956249999999997			28.30625
	24.174999999999997			28.387500000000003
	23.875			27.881250000000005
أكتوبر	23.437499999999996			28.025
	23.324999999999996			27.343750000000004
	22.9875			27.306250000000002
	22.80625			27.237499999999994
	22.562500000000004			26.89375
	22.86875			26.793749999999996
	22.318749999999998			26.4875
	21.8625			25.900000000000002
	22.25625			27.11875
	22.374999999999996			26.724999999999994
	22.787499999999998			27.0625
	22.812499999999996			27.4125
	22.818750000000005			27.043750000000003
	22.54375			26.0625
	22.150000000000002			26.125000000000004
	21.831249999999997			26.018749999999997
	21.1875			26.025000000000002
	21.3875			26.0875
	20.674999999999997			25.93125
	20.862500000000004			25.531250000000004
	21.293750000000003			25.825
	21.8			25.349999999999998
	22.031250000000007			25.987500000000004
	21.900000000000002			26.674999999999997
	21.14375			25.4125
	20.75			25.31875
	20.812500000000004			24.8625
	20.593750000000004			25.1375
	20.062499999999996			25
	19.925			24.568749999999998
	20.4			25.225000000000005
نوفمبر	21.60625			25.35
	21.79375			25.618749999999995
	20.599999999999998			25.1375
	19.75625			24.662499999999998
	19.86875			24.350000000000005
	20.28125			24.48125
	20.3125			23.962500000000002
	19.9875			23.9125
	20.206249999999997			23.962499999999995
	19.25625			23.981250000000003
	17.849999999999998			22.875
	18.637500000000003			23.45
	18.26875			23.556250000000006
	18.53125			23.0375
	18.74375			23.206249999999997
	18.456249999999997			23.43125
	16.85625			21.63125
	15.749999999999998			21.118750000000002
	16.637500000000003			21.387500000000003
	16.75625			21.20625
	16.575			21.375
	16.575			21.61875
	16.156249999999996			21.525000000000002
	16.04375			20.90625
	15.956250000000002			20.687500000000004
	16.39375			21.300000000000004
	16.925000000000004			21.425000000000004
	16.068749999999998			20.468749999999993
	15.7			20.550000000000004
	16.556250000000002			20.450000000000003
ديسمبر	15.399999999999997			19.837499999999995
	14.112500000000002			18.400000000000002
	13.318749999999998			17.95
	14.118749999999999			18.799999999999997
	14.18125			18.99375
	14.43125			19.281250000000004
	15.318750000000001			20.25
	15.0125			20.568749999999998
	15.70625			20.1875
	15.2			19.824999999999996
	14.58125			19.712499999999995
	14.400000000000002			19.95
	14.6			19.1375
	14.55625			18.718750000000004
	14.53125			19.193749999999994
	13.862500000000002			19.224999999999998
	13.433333333333334			18.8

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

34°C

أعلى درجة حرارة

10 أغسطس 26

10°C

أدنى درجة حرارة

23 يناير 26

التفصيل الموسمي

أحر شهرأغسطس30.94°C

أبرد شهريناير16.04°C

أكثر شهر أمطارًايوليو22.43mm

أكثر شهر رياحًايوليو31.94km/h

Beihai 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 Beihai تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Beihai، مع متوسط درجات حرارة قصوى تبلغ حوالي 31°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 35°C في 2023-07-16.

2. ما هو أبرد شهر في Beihai تاريخيًا?

يناير هو أبرد شهر في Beihai، مع متوسط درجات حرارة دنيا تبلغ حوالي 14°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي 5°C في 2016-01-24.

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

يبلغ متوسط هطول الأمطار السنوي في Beihai تقريبًا 1933.6mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Beihai تاريخيًا حوالي 226.2 يوم مطر سنويًا. يشهد أغسطس أكبر عدد من أيام الأمطار بمتوسط 28.5 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Beihai هي 35°C في 2023-07-16.

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

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

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

تشهد Beihai أقوى رياحها خلال ديسمبر. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 100.4 كم/ساعة في 2025-10-05.

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

عادةً، تبلغ رطوبة Beihai ذروتها في أبريل بحوالي 81.6% وتنخفض إلى أدنى مستوياتها في ديسمبر بحوالي 68.5%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Beihai السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Beihai 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)

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Why Winter Suffocates and Monsoon Saves Delhi Air Quality 2025?

Winter vs Summer Air: Why Air Pollution Behaves So Differently Across Seasons

Beihai السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Beihai 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

Beihai السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا