Baotou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Baotou رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-14.668750000000003	-12.6		-5.39375	-5.1
	-14.337499999999999	-11.6		-5.550000000000001	-4.4
	-14.343749999999998	-11.7		-5.2250000000000005	-4.4
	-14.26875	-10.9		-6.0562499999999995	-4.5
	-14.056249999999999	-11.1		-5.95	-6.6
	-14.9	-11.4		-6.04375	-5.8
	-14.774999999999999	-12		-6.16875	-7.3
	-14.968749999999998	-11.5		-6.34375	-3.2
	-14.875000000000002	-12		-6.2125	-5.3
	-14.793750000000003	-16.7		-5.7	-12.4
	-14.2875	-16		-6.0375	-8
	-13.993750000000002	-10		-5.162500000000002	-4
	-14.637500000000001	-9.8		-4.73125	-3.3
	-14.700000000000003	-6.6		-5.874999999999999	0.1
يناير	-14.993750000000002	-8.1		-5.825	-1.4
	-14.60625	-11		-5.187500000000001	-6.1
	-14.1875	-9		-5.5562499999999995	-1.3
	-13.512500000000001	-12.8		-3.8999999999999986	-5.7
	-12.762500000000001	-16.6		-3.9000000000000004	-12.6
	-14.006250000000001	-18.3		-4.9624999999999995	-11.5
	-14.918749999999998	-17.7		-5.91875	-10.3
	-15.23125	-16.2		-6.35	-7.2
	-15.887500000000001	-13.6		-5.99375	-5.2
	-14.58125	-11.9		-5.024999999999999	-1.7
	-14.799999999999999	-8.8		-4.793750000000001	-4.2
	-14.61875	-11.4		-4.8875	-2.6
	-14.987499999999999	-9.2		-4.8687499999999995	-3
	-15.024999999999999	-10.2		-5.1125	-1.4
	-13.874999999999998	-8.9		-4.2375	-1
	-13.712499999999999	-8		-4.15	-1.3
	-13.93125	-10.7		-3.69375	-2.6
	-14.35625	-9.5		-4.893750000000001	-0.3
	-14.162500000000001	-9.1		-4.6937500000000005	-1
	-13.7875	-7.6		-3.968750000000001	-0.7
	-13.781250000000002	-8.1		-3.2000000000000006	0.3
	-12.293750000000001	-9.9		-1.7249999999999999	-3.2
	-13.131249999999998	-11.9		-3.2437500000000004	-6.7
	-13.806250000000002	-13		-3.9750000000000005	-4.4
	-12.8375	-11.5		-3.3562499999999993	-2.4
	-12.475	-8.5		-3.05	-1.4
	-11.799999999999999	-8		-1.8250000000000006	-1.4
	-10.843750000000002	-9		-1.5062500000000003	1.1
	-10.90625	-6.7		-0.9937499999999998	1.8
	-10.7125	-5.9		-0.7375000000000003	4.1
	-11.825000000000001	-6.3		-2.693749999999999	0.5
فبراير	-12.281249999999998	-9.5		-2.125	-1.6
	-11.418750000000001	-10.6		-0.8624999999999999	-1.9
	-9.6625	-8.8		-0.4625	0.5
	-10.212500000000002	-7.6		-0.4000000000000002	0.8
	-10.3375	-6.2		-0.5625	3.6
	-9.375	-3.9		0.4437499999999999	8.5
	-8.99375	-6.4		0.7937500000000002	1.8
	-9.68125	-10.1		0.32499999999999973	-3.6
	-8.46875	-7.1		2.7250000000000005	1.3
	-6.8999999999999995	-5		3.0749999999999993	6.1
	-6.300000000000002	-2.2		3.3750000000000004	4.6
	-6.3125	-3.1		3.6374999999999993	1.9
	-5.10625	-4.4		3.5125	4.9
	-6.98125	-0.7		2.0500000000000003	6.6
	-7.6499999999999995	-1.1		2.3875	5.3
	-6.075	-0.1		3.9437499999999996	8
	-5.456250000000002	-6.8		4.9125	0
	-5.6125	-3.4		4.1125	4
	-5.3687499999999995	-6.2		3.44375	-1.5
	-5.681250000000001	-7.7		4.4125	-0.5
	-5.825	-5.9		4.5875	6
	-5.75625	-2.7		4.33125	6.4
	-5.5874999999999995	-4.6		5.25	5.5
	-4.81875	-0.7		5.668749999999999	10.5
	-3.968749999999999	-2.7		6.6937500000000005	8.1
	-4.2749999999999995	0.2		6.86875	12.7
	-3.96875	-1		7.3	7.5
	-3.9000000000000004	-3.6		8.0625	4.6
مارس	-3.6625	-3.8		7.350000000000001	5.2
	-2.4374999999999996	-3		9.1875	8.2
	-2.1875	-4.1		8.86875	7.9
	-2.1374999999999997	-7.3		9.543750000000001	2.4
	-1.9875000000000003	-4.8		8.6625	5.7
	-2.687499999999999	-2.3		8.06875	9
	-2.7375000000000003	-0.4		8.89375	11.1
	-2.3062499999999995	-1.4		8.443750000000001	9.3
	-1.9124999999999996	0.9		9.306250000000002	10.8
	-2.1624999999999996	1.9		9.26875	14.3
	-1.7125000000000004	3.3		9.637500000000001	15.4
	-1.2249999999999996	5.3		11.256250000000001	16.2
	-1.1812499999999997	6.3		11.475	15.6
	-2.1750000000000003	2.3		10.793750000000003	9.7
	-0.725	2.2		11.499999999999998	11.3
	0.26250000000000007	1.4		12.225	10.9
	1.0625	1.8		12.831249999999999	12.3
	0.625	0.2		12.03125	12
	0.4624999999999998	3.1		12.95625	17.6
	-0.10625000000000018	3.9		11.73125	9.9
	0.8875000000000001	0.4		12.175	15.3
	-0.4312499999999998	1.4		11.18125	8.9
	0.16875000000000004	-1.4		12.325	14.4
	1.31875	0.1		14.325	17.2
	2.125	7.8		15.00625	14.6
	1.6749999999999998	4.1		14.8	13.4
	2.5625	3.3		14.4625	18.2
	0.6	6.5		13.825000000000001	22.7
	0.6749999999999998	9.4		13.299999999999999	18.1
	1.2875	9.9		13.424999999999999	19.6
	1.60625	7.3		15.831249999999999	19.3
أبريل	3.5687499999999996	7.7		16.6	20.8
	2.9875	8.2		16.012499999999996	17.6
	3.48125	7.5		16.76875	22.5
	3.5375	10.4		17.29375	24.1
	5.6625	0.4		17.725	7.2
	4.918749999999999	-2.2		16.868750000000002	12.8
	3.5499999999999994	3.8		15.65625	16.9
	3.7062500000000003	6.5		17.281249999999996	18.6
	4.6875	7.8		17.531250000000004	21
	2.6875000000000004	10.1		17.11875	21.5
	3.89375	9.2		17.3625	23.1
	4.3	7		16.90625	20.9
	4.9625	2.9		17.31875	14.8
	4.775	2.6		18.08125	13.4
	5.66875	2.8		19.5125	16.6
	6.6312500000000005	6.1		20.293749999999996	20.5
	7.06875	12.4		20.187500000000004	21.1
	7.143750000000001	6.4		21.424999999999997	15.7
	7.043749999999999	7.6		19.5	18.6
	7.231250000000001	7.9		19.96875	24.2
	6.737499999999999	12.1		18.575	26.2
	6.218749999999998	6.8		19.21875	16.2
	6.28125	1.7		20.568749999999998	17.2
	9.181249999999999	7.3		20.8875	25.3
	8.5625	12.6		19.643750000000004	22.5
	8.037500000000001	10.7		20.024999999999995	23.4
	7.85625	10.5		20.04375	26.1
	7.806249999999998	15.9		21.431250000000002	32.3
	8.01875	17.4		21.25	30.8
	8.69375	17.8		22.225	29.3
مايو	10.006250000000001	13.2		21.943750000000005	17.9
	8.600000000000001	11.1		22.64375	17.2
	10.225	9.1		22.900000000000006	20.7
	10.349999999999998	10.6		23.993750000000002	23.9
	10.981250000000001	14.2		22.53125	25.7
	10.2625	14.9		24.243750000000002	24.1
	11.5	9.8		24.906249999999996	17
	11.024999999999999	10.3		23.6	22.7
	11.018749999999999	12.1		23.143749999999994	25.3
	11.318750000000001	14.2		23.50625	23.4
	11.50625	13.8		24	25.3
	11.5875	16.1		23.006249999999994	24.8
	12.1125	14.2		24.18125	20.6
	12.76875	11.1		25.60625	22.1
	13.5	12.7		25.893749999999994	25.6
	12.281249999999998	15.4		24.787500000000005	28.9
	13.256249999999998	17.3		25.025000000000002	24
	12.281250000000004	14.1		25.70625	30.1
	13.037500000000001	17.2		26.062500000000004	29.5
	12.868750000000002	15.1		25.825000000000003	23.3
	14.006249999999998	11.2		26.14375	19.8
	14.225000000000001	10.5		27.093750000000004	20.7
	14.281249999999998	9.6		26.131249999999998	21.3
	14.299999999999999	10.2		26.3	22.2
	13.84375	12.4		25.668750000000003	22.6
	13.531250000000002	9.4		25.1	21.2
	13.40625	9.5		25.874999999999996	23.1
	13.662500000000003	11.7		26.749999999999996	26.6
	14.400000000000002	16.9		26.5375	28.9
	15.287500000000003	14.1		27.368749999999995	27.2
	14.937500000000002	14.7		27.500000000000004	31.4
يونيو	16.206249999999997	18.5		27.49375	33.4
	15.306250000000002	19.8		27.68125	31.6
	16.225	16.1		28.487499999999994	30.5
	16.65625	18.2		28.20625	30.8
	16.51875	16.4		28.893749999999997	26.2
	16.674999999999997	9.5		28.38125	20.7
	17.7	10.7		27.85625	28.7
	17.1	16.4		28.756249999999998	30.3
	17.343750000000004	14.5		28.387500000000003	26.5
	17.3625	13.8		27.737500000000004	27.1
	17.21875	13.5		28.500000000000004	26.8
	16.706249999999997	19.3		28.24375	28.7
	17.275	18.3		28.099999999999994	30.2
	17.093749999999996	16.4		28.474999999999998	30.5
	17.28125	15.8		27.26875	29.6
	16.54375	15.3		27.868749999999995	29.5
	16.66875	18.6		28.368749999999995	32.6
	17.15	19.9		27.4875	33.7
	16.675	21.8		28.65	35.8
	17.906250000000004	20.3		29.606250000000006	33.2
	17.349999999999998	17		28.799999999999997	27.6
	17.15625	17.6		29.01875	28.2
	17.562499999999996	17.2		28.525	28.4
	18	17.5		29.143749999999997	32.4
	18.318749999999998	19.7		28.44375	33.7
	18.281250000000004	18.8		29.299999999999997	23.3
	18.506249999999998	16.8		29.2125	21.4
	18.450000000000003	15.4		29.41875	29.9
	18.35	17.9		29.806250000000002	30.8
	18.8	21		29.843749999999996	27.7
يوليو	19.19375	18.3		29.39375	33.4
	18.087500000000002	17.1		28.6375	29.4
	18.2375	17		29.15625	30.9
	18.743749999999995	20		29.743749999999995	29.1
	19.175	19		28.3875	31.8
	18.95625	18.4		29.443750000000005	28.2
	19.112499999999997	18.9		29.606250000000006	32.3
	18.79375	17		28.074999999999996	28.7
	18.51875	17.7		29.05	30.6
	18.806250000000002	18.6		29.106249999999996	32.4
	18.381249999999998	20.4		28.712500000000002	31.9
	18.756249999999998	21.3		28.499999999999996	32.5
	19.331249999999997	21.7		29.181250000000002	32.5
	19.212500000000006	23		29.23125	30.7
	19.812499999999996	21.4		30.337500000000002	30.9
	19.025000000000002	22.1		30.356249999999996	30.9
	18.406250000000004	21.2		28.224999999999998	31.6
	18.406249999999996	20.1		29.631249999999998	28.1
	19.55625	15.6		29.656250000000004	23.1
	19.2625	15.1		28.8125	26.2
	18.556250000000002	17		28.6375	29.6
	17.831249999999997	18.6		29.131249999999998	24.3
	18.30625	19.1		29.40000000000001	27.1
	18.48125		20.8	28.65		30.1
	18.374999999999996		21	28.581249999999997		28.3
	17.9375		21	29.53125		30.5
	17.700000000000003		22.3	28.31875		31.5
	17.843749999999996		18.8	28.15		22.4
	17.831249999999997		17.4	28.24375		22.6
	17.225		16	27.2125		22.9
	17.037499999999998		15.3	27.65		22.7
أغسطس	17.1875		15.3	27.8875		18.5
	16.7125		16.9	28.05625		27.2
	16.993750000000002		17.2	26.906250000000004		24.9
	17.1		17.4	25.962499999999995		25.5
	16.718749999999996		16.2	26.349999999999998		26
	16.925		16.5	26.893749999999997		25.6
	15.868750000000002		15.7	25.725		24.4
	15.268749999999999		15.5	24.9		24.3
	14.668750000000001		15.3	24.181250000000002		23.7
	14.725000000000001		14.4	24.693749999999998		23.4
	14.925		14.4	25.262500000000003		23.4
	14.806249999999999		14	24.63125		23.3
	14.174999999999999		14.6	23.906250000000004		23.4
	14.312499999999998		14.7	25.362499999999994		24
	14.225		14.8	25.399999999999995		24.6
	14.4875		14.3	24.8375		23.4
	14.5		14.7	25.174999999999997		24.1
	14.750000000000002		14.7	24.46875		23.3
	14.237499999999999		14	24.05625		23.3
	13.61875		14.3	24.19375		23.3
	13.818749999999998		13.7	23.549999999999997		22.9
	12.8625		12.8	23.1625		22.3
	12.425000000000002		12.9	23.237500000000004		21.4
	12.668750000000001			22.987499999999994
	12.28125			22.412499999999998
	12.56875			22.487500000000004
	12.000000000000002			22.69375
	11.93125			22.006249999999994
	12.281249999999998			22.562499999999996
	12.774999999999999			23.425000000000004
	11.96875			21.562500000000004
سبتمبر	11.4375			20.925
	11.250000000000002			20.16875
	11.08125			20.406250000000004
	11.1875			20.0125
	10.68125			20.625
	10.3			20.6375
	10.00625			20.75
	9.46875			18.831249999999997
	8.749999999999998			19.218750000000004
	9.0875			19.693750000000005
	9.825			20.037499999999998
	10.549999999999999			19.493750000000002
	9.393750000000002			19.73125
	9.050000000000002			18.9125
	8.362499999999999			18.131249999999998
	8.087499999999999			18.3625
	7.562500000000001			17.425
	7.06875			17.2375
	6.443749999999999			17.13125
	5.9625			15.893750000000004
	5.887500000000001			15.331249999999999
	6.19375			15.668750000000003
	6.23125			16.225
	5.5375			14.69375
	4.7875000000000005			13.912500000000001
	4.175000000000001			12.937500000000002
	3.93125			14.2125
	5			14.225000000000001
	4.6187499999999995			14.181249999999999
	3.6375			13.318749999999998
أكتوبر	3.6687499999999997			13.85625
	3.875			13.618750000000002
	2.8187499999999996			12.4
	3.1374999999999997			12.893749999999999
	2.86875			12.774999999999999
	3.2062500000000003			13.412499999999998
	3.8625			13.156249999999998
	2.7624999999999993			10.74375
	2.0562500000000004			11.00625
	1.86875			11.618749999999999
	2.4937500000000004			11.1125
	2.275			10.55625
	1.2125000000000001			11.106250000000001
	0.55625			9.68125
	0.675			9.287500000000001
	0.40625			9.96875
	0.4375			9.662500000000001
	-0.06874999999999956			8.70625
	0.09999999999999978			9.243749999999999
	0.012500000000000011			8.9625
	-0.23124999999999973			8.75
	-0.9562499999999998			7.3500000000000005
	-1.6687500000000002			7.099999999999999
	-2.25			5.406249999999999
	-2.8250000000000006			5.743750000000001
	-2.9000000000000004			5.537500000000001
	-2.0937499999999996			5.3999999999999995
	-3.1437500000000003			4.45
	-3.5062500000000005			4.39375
	-4.4625			3.5625
	-4.2124999999999995			3.5250000000000004
نوفمبر	-4.4624999999999995			3.3625000000000003
	-4.25			3.825000000000001
	-5.15625			3.437500000000001
	-4.81875			2.8375000000000004
	-4.7562500000000005			3.2375000000000007
	-4.787500000000001			2.8874999999999997
	-5.2625			1.8937500000000003
	-6.550000000000001			0.9624999999999999
	-8.112499999999999			-1.1624999999999999
	-7.95			-0.8750000000000001
	-8.11875			-0.40625
	-8.09375			-0.12499999999999997
	-7.39375			-0.64375
	-8.593750000000002			0.09374999999999988
	-8.712499999999999			-1.6375
	-10			-2.34375
	-9.9625			-2.8687500000000004
	-9.506249999999998			-2.1125
	-9.86875			-2.8625
	-9.906249999999998			-2.325
	-9.843749999999998			-2.1875
	-10.01875			-3.4312499999999995
	-10.73125			-3.4562500000000003
	-11.1375			-3.4125000000000005
	-10.48125			-3.40625
	-11.24375			-3.9875
	-11.481250000000001			-4.018749999999999
	-11.34375			-3.8749999999999996
	-11.506249999999998			-4.03125
	-12.91875			-4.93125
ديسمبر	-13.074999999999998			-6.374999999999998
	-14.975			-6.637499999999999
	-13.968750000000002			-5.437500000000001
	-13.4375			-5.162500000000001
	-14.137500000000001			-5.643750000000001
	-13.3625			-5.04375
	-13.4			-4.8875
	-13.9875			-5.55625
	-14.562500000000002			-6.55
	-14.581249999999999			-6.775
	-14.281250000000002			-6.56875
	-14.531250000000004			-6.0249999999999995
	-13.868749999999999			-6.293749999999999
	-13.774999999999999			-5.60625
	-15.143749999999999			-6.375000000000001
	-15.775			-7.975000000000001
	-15.746666666666666			-7.3866666666666685

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

36°C

أعلى درجة حرارة

3 يوليو 26

-18°C

أدنى درجة حرارة

20 يناير 26

التفصيل الموسمي

أحر شهريوليو30.53°C

أبرد شهريناير-11.82°C

أكثر شهر أمطارًاأغسطس2.89mm

أكثر شهر رياحًاأبريل29.47km/h

Baotou 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 Baotou تاريخيًا?

يوليو هو تاريخيًا أحر شهر في Baotou، مع متوسط درجات حرارة قصوى تبلغ حوالي 29°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 38°C في 2010-07-29.

2. ما هو أبرد شهر في Baotou تاريخيًا?

يناير هو أبرد شهر في Baotou، مع متوسط درجات حرارة دنيا تبلغ حوالي -14°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -28°C في 2021-01-06.

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

يبلغ متوسط هطول الأمطار السنوي في Baotou تقريبًا 387.6mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Baotou تاريخيًا حوالي 93.5 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 14.8 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Baotou هي 38°C في 2010-07-29.

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

أدنى درجة حرارة مسجلة على الإطلاق في Baotou هي -28°C في 2021-01-06.

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

تشهد Baotou أقوى رياحها خلال مايو. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 52.2 كم/ساعة في 2026-04-26.

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

عادةً، تبلغ رطوبة Baotou ذروتها في يناير بحوالي 54.04% وتنخفض إلى أدنى مستوياتها في مايو بحوالي 28.2%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Baotou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Baotou 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

Baotou السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Baotou 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

Baotou السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا