Lincang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lincang رسم بياني لاتجاهات الطقس

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	2.3312500000000003	3.9		12.106250000000003	18.2
	2.175	4.1		12.487499999999999	18.6
	2.1812500000000004	6.9		11.94375	17.2
	1.6812500000000001	3.8		12.200000000000001	16.9
	1.4187500000000002	4		12.256249999999998	17.7
	1.68125	3.2		12.781250000000002	17.9
	1.75625	3.4		12.8875	17.5
	1.71875	4.6		12.15	14.9
	1.2249999999999999	2.8		12.16875	17.8
	1.54375	3.4		11.700000000000001	18.7
	1.2	4.7		11.03125	19.6
	0.9875	5.4		10.175000000000002	19.5
	0.95625	5.8		11.299999999999997	20
	1.1374999999999997	5.2		11.568750000000001	20
يناير	1.0875	5		11.943750000000001	19.4
	1.2249999999999999	5.3		11.924999999999999	18.3
	0.85625	4.4		11.812500000000002	19.7
	1.3499999999999999	4.6		11.68125	20.9
	1.4000000000000001	4.9		12.11875	21.8
	1.2375	5		12.318750000000001	21.4
	0.875	5.3		12.4375	21
	0.9062499999999999	4.6		12.675	20.5
	0.85625	4.4		13.374999999999998	20.4
	0.89375	4		12.86875	20.4
	0.6375	4.6		12.575	20.5
	1.01875	4.8		12.793750000000003	20.5
	1.1624999999999999	4.6		12.16875	20.8
	0.8125000000000001	5.3		12.312500000000002	22
	0.6875	5.7		12.350000000000001	21.5
	1.1749999999999998	6		12.906249999999998	20
	1.2249999999999999	5.3		13.468749999999998	21.4
	1.18125	6.1		13.4625	21.9
	1.225	6.6		13.300000000000002	21.7
	1.4062500000000002	6.3		13.14375	22.9
	1.35	6.7		14.162500000000001	22.4
	1.2312499999999997	7.5		14.5	21.6
	1.3375	5.4		13.875	21.7
	1.125	5.4		13.96875	22.1
	1.4625	6.4		14.1875	22.4
	2.04375	6.1		14.375	21.2
	2.3250000000000006	5.6		14.312499999999998	21
	2.3375	6.5		14.66875	21.7
	2.49375	6.6		14.812500000000002	22
	2.5	6.5		15.106250000000001	22.4
	2.69375	6.8		15.231249999999998	23.1
فبراير	2.7187500000000004	6.5		15.212499999999999	22.4
	2.79375	6.7		15.637500000000001	22.9
	3.0937499999999996	6.9		15.656249999999998	24.3
	3.3249999999999997	7.7		14.418750000000001	24.3
	3.1999999999999997	8.5		14.9125	24.2
	3.29375	8.5		14.5875	23.8
	3.3687500000000004	8.2		15.1	23.3
	3.4687499999999996	7.9		15.768749999999999	22.8
	3.68125	7.9		15.7875	22.7
	3.5937499999999996	6.8		15.81875	23
	3.7062500000000003	9.2		15.51875	22.4
	3.7187499999999996	7.5		15.59375	17.9
	3.68125	7.2		15.70625	21.3
	3.6437500000000003	6.9		17.15	22
	4.15	6.6		17.10625	22.5
	4.4312499999999995	6.6		17.10625	21.3
	4.58125	6.5		17.29375	22.2
	5.043749999999999	8.5		16.4875	24.2
	4.7124999999999995	10.3		16.44375	25.8
	4.875	10.7		16.7625	26.2
	4.90625	11		17.025	24.7
	4.8375	10.3		17.218749999999996	25.5
	5.2375	10.5		17.20625	26.1
	4.925	6.9		17.44375	24
	5.4	8.5		17.85625	24.9
	5.76875	9.4		17.99375	22.3
	5.487500000000001	8		18.10625	18
	5.36875	9.8		18.718749999999996	16.8
مارس	6.4437500000000005	8.6		18.9625	17.4
	6.650000000000001	8		18.08125	20.9
	6.4750000000000005	9		18.13125	20.9
	6.475	9.2		18.500000000000004	22.7
	5.618749999999999	9.3		17.56875	21.8
	5.843750000000001	9.8		18.5125	23.7
	6.2562500000000005	10.1		18.749999999999996	21.8
	6.2437499999999995	9.5		18.24375	20.4
	6.6625000000000005	8.7		17.63125	23.4
	6.487500000000001	9.4		17.83125	24.4
	6.9437500000000005	11.3		18.012500000000003	24.6
	6.85625	10.2		18.218749999999996	24.8
	6.86875	10.8		17.975	25.2
	6.4125000000000005	11.7		17.7625	26.3
	7.168749999999999	11.4		18.112499999999997	24.2
	7.675	9.2		19.10625	23.7
	7.9	10.9		19.168750000000003	23.4
	7.64375	12.2		18.131249999999998	24.9
	6.85625	11.7		17.775	26.5
	6.625	12.1		18.36875	27.2
	7.11875	12.4		18.53125	27.2
	7.44375	12.7		17.90625	27.9
	7.1375	13.5		18.3375	28.2
	7.1375	13.5		18.3125	28.2
	7.637500000000001	11.4		19.099999999999998	23.2
	7.825000000000001	10		19.506249999999998	25.7
	8.162500000000001	12.3		20.16875	22.6
	8.58125	11.8		19.575	22.5
	8.181249999999999	9.5		20.337500000000002	25.9
	8.5375	11.3		20.493750000000002	26.5
	9.075	12		20.23125	27.6
أبريل	8.9875	12.9		20.65	28.1
	9.04375	13.3		20.59375	26.7
	8.987499999999999	12.8		19.56875	28.4
	8.43125	14.2		19.237499999999997	28.6
	8.21875	14.4		19.60625	27.5
	8.08125	13.3		20.050000000000004	26.3
	8.7125	13.3		20.018750000000004	28.4
	9.106249999999998	14.2		20.55625	29.3
	9.468749999999998	14.3		20.0875	29.1
	9.25	12.8		20.0125	30.3
	9.70625	15.9		19.681250000000002	31.5
	9.443750000000001	14		19.993750000000002	27.4
	9.19375	12.2		20.093749999999996	24.4
	8.981250000000001	12.9		19.56875	21.6
	9.287500000000001	12.3		19.631249999999998	19.4
	9.343750000000002	12.6		19.400000000000002	22
	9.09375	12.7		19.175	21.3
	8.862499999999999	11.7		19.1125	21.4
	8.94375	12		19.44375	19.8
	8.68125	11.8		19.874999999999996	20.1
	8.88125	11.8		19.868750000000002	23.1
	9.350000000000001	12.8		20.14375	23.9
	9.3125	13.3		19.8	25.3
	9.481250000000001	14		20.443749999999998	25.6
	9.96875	14.2		20.78125	25.1
	10.193749999999998	13.6		20.89375	19.9
	10.143749999999999	13.4		21.4875	14.4
	10.581250000000002	13.1		20.94375	22.9
	10.306249999999999	12.6		20.568749999999998	24.3
	10.18125	12.7		20.15625	25.4
مايو	10.331249999999999	13.7		20.4375	26.7
	10.181249999999999	14.5		20.66875	26.5
	10.31875	14.8		20.58125	28.2
	10.4375	14.9		21.00625	28.7
	10.49375	15.1		21.725	27.7
	11.149999999999999	15.1		21.468749999999996	27.6
	11.29375	16		21.462500000000002	29.6
	11.337499999999999	15.9		21.356250000000003	29.9
	11.581250000000002	16.5		21.08125	28.6
	11.40625	15.6		20.818749999999994	27.1
	11.3375	14.9		19.518750000000004	27.3
	11.437499999999998	14.2		19.874999999999996	29.4
	11.543750000000001	15.3		20.093749999999996	28.6
	11.50625	15.8		20.575	27.6
	11.925	16.4		20.66875	26.2
	11.931249999999999	16.1		20.60625	21.3
	12.1	16.2		20.18125	23.7
	11.943749999999998	15.5		20.762500000000003	23.7
	11.95	16		20.38125	25.1
	11.80625	16.3		19.993750000000002	24.9
	11.75	15.7		20.9625	26.7
	11.80625	15.8		21.5875	25.6
	12.137500000000001	16.3		21.25	26.3
	12.275	16.6		20.787499999999998	25.4
	12.393749999999999	15.8		20.637499999999996	25.4
	12.499999999999998	16.1		20.306250000000002	20.7
	12.287499999999998	16.6		18.99375	19.2
	12.343749999999998	15.3		19.243750000000006	17.1
	12.281250000000002	16.5		18.962500000000002	19.2
	12.281249999999998	16.3		18.987500000000004	20.8
	12.512500000000001	15.7		19.24375	22.2
يونيو	12.612499999999999	16.8		19.5625	22.9
	12.618749999999999	16.5		19.36875	23.2
	12.3875	16.4		19.462500000000002	25.4
	12.40625	16.6		19.900000000000002	22.5
	12.65	16.7		19.94375	23.7
	12.575000000000001	16.7		19.912500000000005	22.4
	12.618750000000002	16.3		19.85	22
	12.612499999999999	16.3		19.46875	22.4
	12.699999999999998	16.2		19.231250000000003	23.3
	12.81875	16.4		19.849999999999998	23.6
	12.65	17.1		19.4375	24.7
	12.76875	16.6		19.33125	22.3
	12.493749999999999	17.1		19.40625	19.7
	12.593750000000004	17		19.093749999999996	21
	12.518749999999999	16.2		19.306250000000002	21.9
	12.599999999999998	16.7		19.575000000000003	19.8
	12.5125	16.5		18.675000000000004	19.5
	12.53125	16.7		18.9	21.8
	12.65625	15.6		18.7125	18.5
	12.6375	15.6		19.35	23.5
	12.63125	15.1		18.518749999999997	22.1
	12.418750000000003	16.2		18.9125	24.8
	12.568750000000001	16.4		19.19375	22.9
	12.3375	16.4		19.61875	18.2
	12.568750000000003	16.1		19.0875	22.7
	12.493749999999999	16.4		18.868750000000002	22.5
	12.368750000000002	16.8		19.593750000000004	23.2
	12.6125	17		19.306250000000002	24
	12.56875	15.8		19.34375	25.3
	12.393749999999999	16.2		19.3125	24
يوليو	12.418750000000001	16.9		19.168749999999996	22.7
	12.406250000000004	16.2		18.80625	22
	12.218749999999998	16.4		19.58125	21.1
	12.618750000000002	16.2		18.875	18.6
	12.662500000000001	14.8		19.0125	16.7
	12.5875	14.3		18.724999999999998	22.9
	12.68125	13.9		18.318749999999994	25.8
	12.512500000000003	14.6		18.306250000000002	25.2
	12.475000000000001	15.2		18.143750000000004	23
	12.312499999999998	15.6		18.5	21.9
	12.075	14.7		18.80625	17.5
	11.8125	15.5		19.087500000000002	21.3
	12.099999999999998	15.1		19.762500000000003	21.6
	12.33125	15.3		19.725	22.4
	12.112499999999999	15.3		19.175	17.8
	12.0625	15.1		19.618750000000002	19.9
	12.30625	15.9		19.13125	22.3
	12.512499999999998	15.5		19.65625	23.1
	12.174999999999999	17.1		19.074999999999996	21.2
	12.181249999999999	16.9		19.787499999999998	18.2
	12.381249999999998	16		19.29375	19
	12.556250000000002	15		19.068749999999998	19
	12.50625	14.6		19.10625	19.8
	12.5625	14.5		19.518750000000004	17.4
	12.368750000000002	15.6		19.012500000000003	17.9
	12.312499999999998	15.7		19.4125	23
	12.2	15.5		19.6625	24.2
	12.400000000000002	15.9		19.625	24.3
	12.575000000000001	15.9		18.94375	23.4
	12.337499999999999	16		19.10625	24.5
	12.318749999999998	15.5		19.54375	26.3
أغسطس	12.475000000000001		15.4	19.46875		24.4
	12.400000000000002		15.5	19.01875		21.8
	12.2875		15.4	19.0875		22.6
	12.15		16.2	19.2125		20.5
	12.10625		16.3	19.125000000000004		20.2
	12.0875		16.3	19.15625		23.6
	12.025000000000002		16.6	19.06875		23
	12.10625		16.5	19.25		23.5
	12.18125		12.1	19.068749999999998		19.1
	12.262500000000001		12.1	19.58125		19.5
	11.824999999999998		11.8	19.26875		19.1
	11.918750000000001		11.8	19.037499999999998		19.5
	11.825000000000001		11.7	19.1125		19.1
	11.6875		11.7	19.662499999999998		19.7
	11.675		11.7	19.674999999999997		19.6
	11.725		11.9	19.512500000000003		19.1
	12.068750000000001		12.1	19.675		19.5
	12.081249999999999		11.8	19.1		19
	11.943750000000001		11.9	18.99375		19.1
	11.8125		11.7	19.799999999999994		19.7
	11.88125		12	19.587500000000002		19.6
	12.34375		11.9	19.525		19.5
	11.775		11.9	19.112499999999997		19.4
	11.9125		11.9	19.287499999999998		19.3
	11.875		11.9	19.2625		19
	11.9875		11.9	18.83125		18.8
	12.106250000000003		11.9	18.743750000000002		18.5
	11.63125		11.5	18.125		18.5
	11.56875		11.7	18.712500000000002		18.8
	11.6875		11.6	18.324999999999996		18.1
	11.50625		11.3	18.10625		18.3
سبتمبر	11.193749999999998			18.581249999999997
	11.33125			18.687499999999996
	11.524999999999997			18.912500000000005
	11.537500000000001			18.875
	11.524999999999999			18.825
	11.437500000000002			19.081249999999997
	11.4			18.606250000000003
	11.49375			18.743750000000002
	11.30625			18.718749999999996
	11.30625			18.58125
	11.16875			18.756249999999998
	11.08125			18.19375
	10.918750000000001			18.68125
	11.11875			18.656249999999996
	10.793750000000001			18.943749999999998
	10.64375			18.475
	10.931250000000002			18.412499999999998
	10.793750000000001			17.68125
	10.55625			17.125
	10.16875			17.5125
	10.1625			17.55
	10.287500000000001			17.656249999999996
	10.193749999999998			16.950000000000003
	10.3625			16.80625
	10.118749999999999			16.881249999999998
	9.6375			16.93125
	9.51875			16.8
	9.662499999999998			16.893749999999997
	9.7125			16.475
	9.69375			17.49375
أكتوبر	9.824999999999998			17.3125
	9.63125			16.831249999999997
	8.943750000000001			16.618750000000002
	8.825			16.76875
	8.55			16.23125
	8.837499999999999			16.956249999999997
	8.718750000000002			16.868750000000002
	8.56875			16.493750000000006
	8.34375			16.075000000000003
	8.381250000000001			15.887500000000001
	7.981249999999999			16.700000000000003
	8.11875			16.80625
	8.41875			16.49375
	8.2875			15.737499999999999
	7.981249999999999			16.16875
	7.7437499999999995			15.89375
	7.6937500000000005			15.375
	7.1625000000000005			15.193749999999998
	6.70625			15.2875
	6.425			14.799999999999999
	6.60625			14.6125
	6.612500000000001			15.125000000000002
	6.35			15.524999999999999
	6.53125			15.725
	6.39375			14.975
	6.1875			15.318749999999998
	6.343749999999999			15.643749999999999
	6.025			15.49375
	5.65625			15.95
	5.65625			15.631250000000001
	5.6499999999999995			15.5375
نوفمبر	5.6875			15.543750000000001
	6.106249999999998			15.349999999999998
	5.6625			14.925000000000002
	5.5125			14.312499999999998
	5.55625			14.837500000000002
	5.20625			14.94375
	4.8374999999999995			14.9375
	4.68125			14.7625
	4.33125			14.606249999999996
	3.9000000000000004			14.1
	3.925			14.2375
	4.09375			14.293749999999998
	4.3			14.325
	4.09375			14.19375
	4.1			13.881250000000001
	4.2749999999999995			13.693750000000003
	4.4125000000000005			13.93125
	4.0687500000000005			13.225000000000001
	4.00625			13.25
	3.79375			13.287499999999998
	3.5			13.30625
	3.175			13.65
	3.7312500000000006			12.962499999999999
	3.5			12.98125
	3.90625			13.468750000000002
	3.4499999999999997			13.61875
	3.76875			13.193750000000001
	3.2624999999999993			13.21875
	3.1312499999999996			13.38125
	3.0375			13.41875
ديسمبر	2.91875			13.2
	2.775			12.75625
	2.64375			11.8875
	2.6187500000000004			11.199999999999998
	2.4125000000000005			11.54375
	1.5125			12.15
	1.0625			11.968749999999998
	1.6375000000000002			12.125
	1.44375			12.456249999999999
	1.11875			12.443750000000001
	1.6812499999999997			12.450000000000003
	1.9874999999999998			12.5
	1.4312500000000001			12.450000000000001
	1.9937500000000001			12.13125
	1.9937500000000004			12.400000000000002
	1.9625000000000004			12.887499999999998
	2.2733333333333334			12.406666666666666

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

الملخص السنوي 2026

32°C

أعلى درجة حرارة

25 أبريل 26

3°C

أدنى درجة حرارة

9 يناير 26

التفصيل الموسمي

أحر شهرأبريل26.44°C

أبرد شهريناير4.68°C

أكثر شهر أمطارًايوليو12.84mm

أكثر شهر رياحًاأبريل17.1km/h

Lincang 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 Lincang تاريخيًا?

مايو هو تاريخيًا أحر شهر في Lincang، مع متوسط درجات حرارة قصوى تبلغ حوالي 21°C. خلال ذروة موجات الحر، وصلت أعلى درجات الحرارة المسجلة إلى 32°C في 2026-04-25.

2. ما هو أبرد شهر في Lincang تاريخيًا?

يناير هو أبرد شهر في Lincang، مع متوسط درجات حرارة دنيا تبلغ حوالي 1°C. تم تسجيل أدنى درجة حرارة على الإطلاق وهي -5°C في 2013-12-17.

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

يبلغ متوسط هطول الأمطار السنوي في Lincang تقريبًا 1878.8mm، استنادًا إلى سجلات تمتد لـ 17 عامًا.

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

تسجل Lincang تاريخيًا حوالي 235.05 يوم مطر سنويًا. يشهد يوليو أكبر عدد من أيام الأمطار بمتوسط 30.7 أيام.

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

أعلى درجة حرارة مسجلة على الإطلاق في Lincang هي 32°C في 2026-04-25.

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

أدنى درجة حرارة مسجلة على الإطلاق في Lincang هي -5°C في 2013-12-17.

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

تشهد Lincang أقوى رياحها خلال أبريل. تم تسجيل الرقم القياسي التاريخي للرياح بسرعة 27.4 كم/ساعة في 2024-04-29.

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

عادةً، تبلغ رطوبة Lincang ذروتها في يوليو بحوالي 90.01% وتنخفض إلى أدنى مستوياتها في مارس بحوالي 49.003%.

المدونات الحديثة عن الطقس

شاهد جميع المدونات

Lincang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lincang 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

Lincang السجلات التاريخية للطقستحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا

Lincang 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

Lincang السجلات التاريخية للطقس
تحليل أكثر الأيام حرارةً وبرودةً ورياحًا وأمطارًا