Linxia Chengguanzhen Исторические погодные рекорды
Анализируйте самые жаркие, холодные, ветреные и дождливые дни

Linxia Chengguanzhen График тенденций погоды

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-9.975	-10		1.2874999999999999	-1.2
	-9.56875	-9.4		1.1	-1.3
	-10.018749999999999	-8.9		1.1625	-2.2
	-9.881250000000001	-10.8		1.2000000000000002	-1.8
	-9.7	-11.9		0.80625	-3.1
	-9.762500000000001	-11.2		-0.275	-1
	-10.906250000000002	-10.9		0.04375000000000009	-0.4
	-11.062500000000002	-9.6		-0.46875	0.1
	-11.2875	-8.7		0.21249999999999988	4.1
	-10.9125	-10.6		-1.5499999999999998	1.1
	-12.362500000000002	-9.1		0.5625000000000001	2.3
	-11.60625	-8.4		0.9375	4.5
	-11.41875	-6.2		0.9562500000000003	4.6
	-10.999999999999998	-7.4		-0.03124999999999989	5.2
Ян.	-11.275000000000002	-5.8		0.5875	5.9
	-10.549999999999999	-8.6		0.7562500000000001	5.9
	-10.775000000000002	-5.9		1.2687500000000003	9.7
	-10.024999999999999	-6.4		2.1	-0.8
	-9.74375	-8.7		0.6312500000000001	-4.6
	-10.668750000000001	-10.4		-0.20000000000000018	-3.4
	-11.137500000000001	-8.2		0.5125	-0.8
	-12.137500000000001	-8.4		0.9687500000000001	4.2
	-11.38125	-6.6		0.23750000000000016	5.3
	-10.88125	-3.6		-0.5624999999999999	9
	-10.799999999999999	-3.7		0.8875000000000002	-0.2
	-11.493749999999999	-6.9		-0.4375	4.5
	-10.993750000000002	-4.9		-0.09375000000000006	3.4
	-11.6375	-4		-0.525	4.3
	-11.98125	-4.2		0.9500000000000001	-0.2
	-10.75	-5.3		0.7875000000000002	-1.5
	-11.281250000000002	-5.6		0.94375	-0.1
	-10.693750000000001	-6.5		1.8125	1.2
	-9.75625	-7.5		1.7249999999999999	2.1
	-10.4	-3.7		1.4625	3.8
	-9.74375	-2.2		2.8749999999999996	3.7
	-8.40625	-3.1		2.81875	4.2
	-8.73125	-7		1.9625	3.9
	-8.9125	-9.1		1.7249999999999994	-0.4
	-9.675	-8.3		1.36875	1.1
	-9.7125	-5.9		1.8624999999999998	4.8
	-9.3125	-7.3		2.9	3.2
	-8.868749999999999	-5.1		3.5	7.6
	-8.8625	-2.7		3.0500000000000003	3.8
	-8.4625	-2.5		3.475	10.6
	-8.93125	-1.4		1.6312499999999999	10
Фев.	-9.200000000000001	-4.4		2.7875000000000005	2.9
	-8.01875	-3		3.1624999999999996	3.3
	-7.6	-6		2.78125	6
	-8.625	-5.1		1.9749999999999999	5
	-10.212500000000002	-5.5		3.6125000000000003	10.1
	-9.212500000000002	-0.6		3.91875	13.3
	-8.425	-1		3.70625	14.2
	-7.75	-3.3		5.206250000000001	9.8
	-7.325000000000001	-0.6		5.9437500000000005	7.5
	-5.76875	-1.8		5.3875	13
	-6.087499999999999	-1		5.693749999999999	7.1
	-5.8	-3.7		6.84375	14.7
	-5.11875	-4.8		6.31875	11.2
	-5.4937499999999995	-0.9		4.699999999999999	7.1
	-5.8187500000000005	0.4		5.412500000000001	10.6
	-5.25	-1.9		5.7625	9.4
	-5.48125	-2.5		7.58125	13.3
	-4.6000000000000005	1.4		6.96875	11.2
	-4.318750000000001	-2.5		6.356249999999998	8.8
	-4.206250000000001	-2.4		6.81875	13.2
	-4.5125	3.1		8.59375	12.3
	-4.737500000000002	1.9		9.35625	6.9
	-3.9187499999999997	-0.3		8.174999999999999	10.6
	-3.5125	1.6		9.4125	17.3
	-3.568750000000001	2.4		9.149999999999999	19.7
	-3.5875000000000004	1		10.762500000000003	9.9
	-2.55	-3.9		10.5625	-0.7
	-3.75	-9.7		9.95	-1.4
Мар.	-2.6624999999999996	-9.7		10.66875	1.8
	-2.3812499999999996	-2.2		11.1625	9.6
	-1.5187499999999998	-1.8		10.174999999999999	2.5
	-2.43125	-4.5		12.087500000000002	3.1
	-1.8062500000000001	-2.7		11.8625	4.8
	-2.499999999999999	-1.8		11.09375	9.2
	-1.8812500000000003	0.1		11.31875	11.8
	-1.3187499999999999	2.1		11.075000000000001	11.3
	-1.7562499999999999	-0.1		11.51875	9.9
	-0.8937499999999999	1.7		10.799999999999999	14.1
	-1.8125000000000002	5.4		11.7375	11.2
	-1.58125	2.2		12.306249999999999	14.8
	-1.1	4.5		13.056250000000002	9.6
	-0.4374999999999999	-0.6		14.093749999999998	13.7
	0.0625	2.4		15.006250000000003	7.9
	1.2874999999999999	0.2		13.462500000000002	9.9
	0.54375	-0.8		12.737499999999999	12.9
	0.21249999999999997	2.4		15.03125	17.1
	1.19375	5.3		14.318749999999998	19.4
	1.325	5.8		12.962499999999999	16.1
	0.7437499999999999	3.8		13.481249999999998	17.5
	0.40625000000000017	4.2		13.437500000000002	18
	0.41874999999999996	4.6		12.893749999999999	18.3
	0.975	6.1		14.306249999999999	20
	0.84375	9.6		15.53125	17.8
	1.4562499999999998	7.2		15.468749999999998	20.9
	1.9375	8.2		15.049999999999999	19.8
	1.7374999999999998	5.9		15.15	18.6
	0.9249999999999999	9.5		15.4875	11.6
	1.30625	5.3		14.587499999999999	16.6
	2.18125	7.2		16.64375	16.9
Апр.	3.05	7.3		17.01875	15.9
	3.38125	3.7		18.55625	15
	4.4125	4.5		19.081249999999997	20.9
	4.1187499999999995	7.8		19.0125	25.9
	3.80625	5.5		17.06875	11.5
	3.95625	3.1		15.831249999999999	14.4
	3.7625	6.9		15.112500000000002	16.2
	3.69375	8.4		16.63125	16.1
	3.9187499999999997	4.9		17.0625	19.5
	3.7625	6.1		16.88125	20.1
	3.6562500000000004	7.1		17.462500000000002	25.1
	4.05	9.2		18.7	22.7
	4.19375	10.3		17.96875	14.7
	3.4687500000000004	7.1		19.9	18.1
	4.93125	3.7		19.46875	19.2
	4.68125	5.7		18.706249999999997	22.3
	5.025	6.2		18.9875	13.4
	5.21875	3.8		20.625	13.8
	6.1937500000000005	0.7		19.325	17.9
	6.075	5.5		19.90625	23.6
	5.943749999999999	8.1		18.4875	26.4
	6.0125	10.5		20.8875	16.7
	7.4937499999999995	6.3		20.30625	16.2
	6.6812499999999995	5.8		18.50625	20
	5.6000000000000005	8.1		18.125	22.5
	5.699999999999999	10.1		18.24375	23.2
	5.6	9.2		20.65	25.8
	5.85	10.1		22.0625	26
	6.618750000000001	5.8		20.893749999999997	21.8
	6.78125	10		19.000000000000004	16
Май	6.6125	7		19.412499999999998	11.7
	6.8687499999999995	4.3		20.962499999999995	22.4
	7.09375	9.6		21.656250000000004	19.9
	7.65	9.5		22.9875	22.3
	8.181249999999999	9		22.993750000000002	26.1
	8.525000000000002	9.7		21.943749999999998	28.2
	8.4875	8.5		20.718749999999996	16.7
	7.331249999999999	5.3		20.581249999999997	23.9
	7.731249999999999	11.1		22.2	27.2
	8.29375	12.4		21.41875	15.7
	8.4125	7		20.26875	23.3
	7.0375000000000005	11.8		20.29375	19.5
	7.862500000000002	7.9		20.83125	11.1
	8.281249999999998	7.6		21.468750000000004	18.1
	9.081249999999999	7.5		21.31875	23.8
	8.843749999999998	9.5		21.25	25.9
	8.950000000000001	8.9		20.893749999999997	16.3
	9.581249999999999	8.7		22.86875	24.1
	9.86875	12.4		21.149999999999995	21.9
	9.38125	10.8		21.006250000000005	25.9
	8.975	7.8		22.4875	26
	9.850000000000003	9.1		24.325	27.2
	10.7	11.5		23.968749999999996	15.2
	10.525	8.6		22.29375	18.7
	9.78125	8.9		23.15625	23.2
	10.124999999999998	8.8		21.825000000000003	22.7
	9.20625	9.3		23.818749999999994	23.9
	10.81875	9.9		24.09375	22.8
	10.975	10.3		24.556250000000006	26.5
	11.14375	10.9		24.975	27.9
	10.9625	12.6		24.86875	25.2
Июн.	11.618750000000002	10.2		24.55	27.2
	11.65625	11.3		23.918750000000003	29.4
	11.73125	14.7		24.581250000000004	25.2
	12.325000000000001	12.9		24.525000000000002	24.9
	12.524999999999999	9.9		23.993750000000002	27.8
	12.056249999999999	13.2		24.43125	18
	12.075000000000003	10.2		24.237499999999997	20.7
	11.937500000000002	7		24.556250000000002	25.4
	12.53125	12.3		25.443750000000005	26.3
	12.612499999999999	10.9		24.3625	24.5
	12.231250000000001	10.5		25.1875	20.2
	12.81875	8.7		25.749999999999996	26.8
	12.937500000000002	11.3		25.249999999999996	28.2
	12.9875	11.8		25.76875	27.4
	12.9	10.2		24.35625	26.8
	12.7125	10.9		25.4375	28.9
	13.406250000000002	13		24.79375	26.3
	13.2125	12		24.799999999999997	26.5
	12.6875	10.4		24.1125	28.7
	12.53125	11.1		24.474999999999998	33.1
	12.325	14.5		25.73125	33
	13.15	13.9		27.212500000000002	31.3
	13.96875	13.4		25.793749999999996	32.2
	13.531249999999998	14.4		24.175	33.6
	13.162499999999998	16.3		24.33125	32.1
	13.118749999999999	15.1		26.012499999999996	18.5
	13.89375	13		25.493750000000002	15.2
	13.275	12.1		24.262500000000006	24.1
	13	11		26.231249999999996	26.6
	14.037499999999998	14.8		25.099999999999998	18
Июл.	13.54375	13.1		25.4125	22
	12.968749999999998	13.7		27.46875	22.4
	13.85625	11.8		26.968750000000004	26.3
	14.218749999999998	13.1		26.625	24.6
	13.71875	11.1		26.093749999999996	28.3
	13.7625	12		26.90625	28.3
	13.65	10.8		26.318749999999998	27.3
	14.181250000000002	12.5		26.5875	29.4
	14.306249999999999	12.8		25.956249999999997	30.8
	14.23125	14.6		25.918750000000003	31.1
	14.243749999999999	15.7		26.968749999999996	30.2
	14.437500000000004	14.4		27.099999999999998	29.6
	14.512500000000001	13.7		26.975	27.3
	14.093749999999996	13		27.687499999999996	28.6
	14.4625	13.8		28.606250000000003	29.8
	14.725000000000001	15		29.624999999999996	22.1
	15.30625	12.9		28.30625	20
	14.60625	14		28.187500000000004	23.9
	15.2125	12.5		28.343750000000004	23.4
	14.912499999999998	10.2		26.343750000000004	27.4
	14.093749999999998	11.3		25.337500000000002	28.3
	14.46875	12.6		26.5	29.5
	14.550000000000002	11.7		26.125	27.2
	14.993749999999999	13.5		26.887500000000003	28.4
	14.687499999999998	12.8		25.250000000000004	30.5
	14.4625	13.8		26.749999999999996	31.9
	14.93125	15.7		27.3	32.4
	15.031249999999998	15		26.375000000000004	23.9
	14.750000000000002	12.1		26.568750000000005	28.1
	14.331249999999999	10.5		25.906249999999996	29.8
	14.206250000000002	14.3		26.487500000000004	27.8
Авг.	13.975000000000001	16.5		26.0375	25
	14.118750000000002	14		25.799999999999997	28.5
	14.206249999999999		11.7	24.762499999999996		20.7
	14.143750000000002		11.7	23.95		27.7
	13.63125		11.6	24.762499999999996		31.3
	13.187499999999998		12.8	24.018749999999997		31.6
	12.837499999999999		13.8	23.11875		31.5
	12.287499999999998		19.1	23.74375		27.1
	12.412500000000001		15.4	24.043749999999996		27.8
	12.525		15.4	23.09375		20.3
	12.775000000000002		12.6	23.743750000000002		22.2
	12.631249999999998		12.5	22.9		23.5
	12.381250000000003		12.3	22.993750000000002		23
	11.962499999999999		12	22.756249999999998		22.7
	11.768749999999999		11.3	24.125		23.5
	11.924999999999999		11.6	22.8875		22.9
	12.537499999999998		12.5	23.375		23.3
	12.443750000000001		12.3	22.51875		22.4
	11.499999999999998		11.2	21.787500000000005		22.3
	11.343750000000002		11.5	22.3625		22.4
	11.462499999999999		11.3	22.43125		22.2
	11.01875		11.4	21.131249999999998		20.2
	10.931250000000002		10.7	21.1625		21.6
	10.706249999999999		10.7	20.643749999999994		20.6
	10.78125		10.7	21.49375		21.8
	10.03125		10.2	21.7375		20.6
	10.18125		9.8	21.793749999999996		21.9
	10.66875		10.7	22.5625		21.8
	10.081249999999999		10.2	22.624999999999996		22
	10.287500000000001		9.9	21.30625		20.7
	9.625		9.5	20.425		21.1
Сен.	9.95		9.8	20.412499999999998		20.4
	10.05625		10.1	19.5125		19.3
	10.25			18.86875
	9.7			18.156250000000004
	9.64375			19.78125
	8.85625			20.3875
	8.14375			19.037500000000005
	8.525			18.8125
	8.681249999999999			18.9
	8.55			19.25625
	8.8125			19.006249999999998
	8.46875			18.712500000000002
	8.775			18.34375
	7.53125			19.193749999999998
	8.08125			20.5625
	7.768750000000001			18.11875
	6.7125			18.275
	6.78125			18.01875
	6.687500000000001			17.075000000000003
	5.6875			16.968749999999996
	6.1187499999999995			15.95
	5.89375			16.681250000000002
	6.018750000000001			17.1125
	5.374999999999999			15.9375
	4.59375			14.881250000000001
	4.125000000000001			13.81875
	4.125000000000001			13.937500000000002
	4.30625			13.206249999999999
	3.7937499999999997			13.468750000000002
	3.1625			14.137500000000001
Окт.	3.0125			13.94375
	3.5312499999999996			14.987499999999999
	3.0812500000000003			14.03125
	3.3937500000000003			15.231250000000001
	4.1625			14.087500000000004
	3.9375			14.818750000000001
	3.7000000000000006			14.856250000000001
	3.3312500000000007			13.387500000000003
	2.575			14.19375
	2.7000000000000006			13.231249999999998
	2.68125			12.012499999999998
	2.025			11.175
	1.58125			11.66875
	1.39375			11.2
	0.9124999999999999			11.51875
	0.6312500000000001			11.893749999999999
	0.7499999999999999			11.5125
	0.006250000000000033			12.106250000000003
	0.8875000000000001			11.68125
	0.0875			11.49375
	-0.012500000000000011			10.15625
	-0.45625000000000004			11.1125
	-1.21875			9.256249999999998
	-1.825			8.562500000000002
	-2.3375			9.612500000000002
	-1.95			9.31875
	-1.6687500000000004			9.062499999999998
	-2.4312500000000004			8.075000000000001
	-2.59375			7.43125
	-2.89375			8.768749999999999
	-2.6687499999999997			9.05625
Ноя.	-2.6625000000000005			8.30625
	-3.1125000000000007			7.737499999999999
	-3.6624999999999996			7.575000000000001
	-3.9937500000000004			7.956249999999999
	-4.0375			7.831250000000001
	-3.36875			7.23125
	-3.9375			6.3875
	-4.5875			5.68125
	-5.606249999999999			4.15
	-5.424999999999999			6.081249999999999
	-5.556249999999999			5.99375
	-4.975			4.6
	-5.45			5.5125
	-5.1875			4.4875
	-5.8			3.6999999999999997
	-6.5562499999999995			2.75
	-6.925000000000001			4.3375
	-6.7			4.23125
	-6.393750000000001			3.3687500000000004
	-6.6375			3.7624999999999997
	-6.48125			4.2375
	-6.65			3.0625
	-6.787500000000001			3.3812499999999996
	-6.593749999999999			3.2999999999999994
	-6.893750000000001			3.53125
	-7.1			1.7875000000000003
	-7.418749999999999			1.3250000000000002
	-8.80625			2.1499999999999995
	-8.143749999999999			1.2812500000000002
	-8.98125			0.12500000000000006
Дек.	-10.05625			-1.2125
	-10.900000000000002			-0.0625
	-9.931249999999999			1.15
	-9.1875			0.6687499999999997
	-9.15625			0.575
	-8.9875			0.69375
	-9.65			1.55625
	-9.125			0.09375
	-9.375			0.6249999999999999
	-9.987500000000002			0.19374999999999998
	-10.08125			-0.4687499999999997
	-10.712499999999999			0.30624999999999997
	-10.23125			0.38749999999999996
	-10.481250000000001			1.1875
	-10.331249999999999			-0.83125
	-11.187500000000002			0.07500000000000007
	-10.94			0.7799999999999999

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Годовой итог 2026

34°C

Наибольшая температура

8 Июл. 26

-12°C

Наименьшая температура

5 Ян. 26

Сезонная разбивка

Самый жаркий месяцАвгуст27.88°C

Самый холодный месяцЯнварь-7.75°C

Самый дождливый месяцИюль4.99mm

Самый ветреный месяцАпрель22.09km/h

Linxia Chengguanzhen Анализ изменения климатаУзнайте, как климатические паттерны меняются со временем. Изменения температуры, тенденции осадков и экстремальные явления — всё в одном месте.

Мировой рейтинг городов по погодеИсследуйте в реальном времени самые жаркие и самые холодные города мира на основе текущих данных о температуре.

Frequently Asked Questions

1. Какой месяц исторически является самым жарким в Linxia Chengguanzhen?

Июль исторически является самым жарким месяцем в Linxia Chengguanzhen со средними максимальными температурами около 26°C. В периоды пиковых волн тепла самые высокие зафиксированные температуры достигали 37°C на 2010-07-30.

2. Какой месяц исторически является самым холодным в Linxia Chengguanzhen?

Январь является самым холодным месяцем в Linxia Chengguanzhen со средними минимальными температурами около -11°C. Рекордный минимум всех времён в -24°C был зафиксирован 2011-01-29.

3. Каков средний годовой уровень осадков в Linxia Chengguanzhen за последние 17 лет?

Среднегодовое количество осадков в Linxia Chengguanzhen составляет приблизительно 543.07мм, на основе данных за 17 лет.

4. Сколько дождливых дней в среднем в год бывает в Linxia Chengguanzhen?

Linxia Chengguanzhen исторически фиксирует приблизительно 142.9 дождливых дней в год. В Август больше всего дождливых дней — в среднем 18.2 дней.

5. Какова самая высокая температура, когда-либо зафиксированная в Linxia Chengguanzhen?

Самая высокая температура за всё время в Linxia Chengguanzhen составила 37°C 2010-07-30.

6. Какова самая низкая температура, когда-либо зафиксированная в Linxia Chengguanzhen?

Самая низкая температура за всё время в Linxia Chengguanzhen составила -24°C 2011-01-29.

7. Когда исторически бывает самый ветреный сезон в Linxia Chengguanzhen?

Linxia Chengguanzhen испытывает самые сильные ветры в период Апрель. Исторический рекорд порыва ветра в 37.1 км/ч был зафиксирован 2025-05-02.

8. Какова самая высокая и самая низкая влажность в Linxia Chengguanzhen в течение года?

Обычно влажность в Linxia Chengguanzhen достигает пика в Сентябрь на уровне около 62.9% и снижается до минимума в Апрель примерно до 42.1%.

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Linxia Chengguanzhen Исторические погодные рекорды
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Linxia Chengguanzhen Исторические погодные рекордыАнализируйте самые жаркие, холодные, ветреные и дождливые дни

Linxia Chengguanzhen График тенденций погоды

Годовой итог 2026

Сезонная разбивка

Frequently Asked Questions

Последние блоги о погоде

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

Linxia Chengguanzhen Исторические погодные рекорды
Анализируйте самые жаркие, холодные, ветреные и дождливые дни