Xinpu Registros Históricos do Tempo
Analise os dias mais quentes, mais frios, mais ventosos e mais chuvosos

Xinpu Gráfico de Tendências Climáticas

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-2.7937500000000006	-1.2		5.65	2.8
	-1.5062499999999999	-3.5		5.45	2.4
	-1.4687500000000002	-2.6		5.968749999999999	6.5
	-1.6124999999999998	-0.2		5.36875	6.5
	-0.9437500000000001	0.7		4.724999999999999	5.6
	-1.825	0.6		4.768750000000001	6.5
	-1.95625	0.8		3.6687499999999997	5.4
	-2.25625	0		4.487500000000001	5.9
	-2	-0.1		4.218749999999999	10.4
	-2.54375	-1		4.237500000000001	6.4
	-2.0999999999999996	-3.3		4.4375	0.8
	-2.5687500000000005	-2.8		5.08125	9.9
	-1.7249999999999999	1.3		5.4750000000000005	5.1
	-2.0375	2.2		5.800000000000001	10.3
Jan.	-2.5812499999999994	4.4		3.8875	10.8
	-2.50625	2.7		3.95625	12.2
	-2.2625	0.7		5.162499999999999	3.8
	-1.78125	0.4		5.7562500000000005	3.9
	-1.29375	-5		6.78125	0.1
	-1.65	-6		4.6187499999999995	-2.6
	-1.80625	-7.9		5.000000000000001	-0.9
	-1.7062499999999998	-5.1		4.187499999999999	2.6
	-3.3187500000000005	-3.6		4.05625	5
	-2.8874999999999997	-1.5		3.825	5.7
	-2.25	0.9		4.531249999999999	5.5
	-2.3625	1		4.3187500000000005	3.3
	-1.9875	-0.6		4.843749999999999	3.9
	-1.8312499999999998	-1		4.7625	5.9
	-2.0687499999999996	0.3		5.7875000000000005	5.2
	-1.1562500000000002	1.2		6.05625	3.3
	-0.475	0.2		6.60625	5.6
	-1.2	1.9		5.612500000000001	7.6
	-1.8624999999999998	2.2		4.7562500000000005	5
	-1.5687499999999999	1.3		5.2625	6.9
	-1.65	3.1		5.69375	8.3
	-1.6187500000000001	2.1		6.05	7.7
	-1.2437500000000001	-2.5		6.13125	1.4
	-2.1374999999999997	-3.8		4.175000000000001	-0.1
	-2.3437500000000004	-2.6		4.3	3.2
	-2.0937500000000004	-0.9		5.05625	6.1
	-1.7249999999999996	0.7		5.85625	6.8
	-1.00625	3.3		7.1812499999999995	6.1
	-0.2749999999999999	3.8		7.075	11.5
	-0.23750000000000004	5.8		8.35625	11.5
	0.65625	7.3		7.44375	12.8
Fev.	-0.3312499999999998	2.3		6.18125	9.9
	-0.65	1.5		7.437500000000002	2.9
	-0.775	1		6.762499999999998	7.5
	-0.5125000000000002	3		7.1125	6.3
	-0.16874999999999993	2.7		8.624999999999998	12.2
	-0.21249999999999994	6.1		8.1	15.5
	0.9375000000000001	7.9		8.399999999999999	17.4
	0.6750000000000003	5.6		7.8812500000000005	12.3
	-0.05625000000000002	2.5		8.712499999999999	6.1
	0.7999999999999999	2.8		9.61875	5.1
	1.2812499999999998	3.8		9.64375	6.7
	1.5687500000000003	5		9.243749999999999	5.7
	1.55625	5.3		9.418750000000001	6.6
	2.2937499999999997	5.3		9.799999999999999	6.6
	1.2937500000000002	5.3		8.718750000000002	6.4
	0.2562500000000001	4.4		9.31875	5.8
	1.38125	3.7		11.025	5.4
	2.11875	4.6		12.11875	6.6
	2.54375	5.5		10.575000000000001	7.6
	2.3625	2		10.5	5.9
	2.2687500000000003	1.6		10.862499999999999	3.7
	2.625	1.5		12.1375	6.8
	2.21875	4.6		12.25	6.5
	2.51875	2.9		11.831249999999999	11.1
	3.3187499999999996	5.9		13.1875	8.3
	3.9187499999999997	5.5		13.63125	7
	4	5.2		13.068750000000001	8.9
	4.21875	5.5		13.86875	8.9
Mar.	3.7812499999999996	4.8		13.7625	7.4
	3.8625	6		13.068749999999998	7.7
	4.15	5.7		12.737499999999999	8.6
	4.737500000000001	5.3		13.193750000000001	8.4
	4.49375	4		13.84375	8
	5.05	7.1		12.1375	10.2
	4.13125	6.7		13.23125	11.7
	4.856249999999999	7.4		14.112499999999997	12.1
	5.562499999999999	8.1		14.43125	10.2
	5.3812500000000005	7.9		14.83125	10.7
	5.481249999999999	8.6		14.368749999999999	16.2
	5.85	11.6		15.668750000000001	16.8
	6.300000000000001	11.3		16.837500000000002	17.7
	6.837500000000001	9.8		16.1125	14.2
	6.3687499999999995	10.1		15.5625	14.9
	7.025000000000001	9.2		15.41875	11.2
	6.525000000000001	8.5		16.431250000000002	13
	6.856250000000001	10.9		16.38125	19.9
	6.95625	9.9		17.2375	21.7
	6.937499999999999	11.3		15.868749999999999	20.8
	6.6875	8.6		15.912500000000001	16.7
	7.168749999999999	8.8		16.331250000000004	25
	6.79375	8.1		16.0625	15
	6.981249999999999	7		16.28125	15.6
	7.80625	6.8		18.63125	18.9
	8.768749999999999	11.2		19.81875	18.9
	9.40625	11.6		19.41875	23.7
	8.712499999999999	12.6		18.724999999999998	21.6
	8.6125	11		17.362500000000004	20.7
	8.212500000000002	10.1		18.6375	17.7
	8.968750000000002	12.3		18.90625	16.8
Abr.	9.281250000000002	12		21.15	22.3
	10.11875	11.1		20.718750000000004	20.4
	10.18125	12.6		20.58125	23.2
	9.737499999999999	12.3		19.40625	22.8
	9.693750000000001	10.1		18.937499999999996	23.3
	10.012500000000001	7.7		18.71875	16.1
	10.318750000000001	6.9		17.53125	19.6
	10.362499999999999	8.6		18.9125	12.1
	10.70625	8.8		19.6875	20.4
	10.893749999999999	9.6		20.23125	23.1
	10.73125	10.7		20.7625	22.9
	11.831249999999999	11.1		21.59375	24.6
	11.3375	14.7		20.90625	26.8
	11.481250000000001	12.2		21.256249999999998	16.5
	12.087500000000002	9.9		22.581249999999997	19.2
	12.625000000000002	8.6		24.18125	22.3
	12.493749999999997	10.6		23.65	25.6
	13.243749999999999	13		23.737499999999997	16.6
	12.73125	11.7		23.4	20.2
	13.174999999999999	10.5		22.868750000000006	22.2
	13.21875	11.4		22.900000000000002	28.1
	13.35	15		22.625	28.5
	13.45625	12.8		23.425	22.5
	13.575000000000001	11.2		21.912500000000005	24
	13.3	11.6		21.78125	25.3
	12.5875	11.7		21.987499999999997	28
	13.325	15.7		22.793750000000003	28
	14.3125	16		24.00625	26.7
	14.70625	16		24.968750000000004	29.9
	14.59375	16.7		25.09375	27.7
Maio	15.606250000000001	15.5		23.7875	26.5
	15.16875	15.2		24.03125	28.7
	15.381250000000001	15.7		25.987500000000004	29.2
	16.2125	17.9		26.062499999999996	21.2
	15.637500000000001	16.8		27.012499999999996	18.7
	16.45625	16.3		25.793749999999996	19.8
	15.612499999999999	15.8		25.443749999999998	25.6
	16.525000000000002	15.7		25.056250000000002	25.1
	16.1375	17.2		25.575000000000003	24.7
	16.36875	18.6		25.5	21.4
	16.43125	18.3		26.106250000000003	22
	17.037499999999998	18.2		25.587499999999995	20.1
	17.49375	18.4		27.025000000000002	24.1
	17.856250000000003	19.8		27.118749999999995	31.1
	17.3125	18.7		26.987500000000004	28.7
	18.0875	18.4		27.006250000000005	30.9
	17.65	17.4		26.418749999999996	30
	17.868750000000002	18.8		26.5125	30
	17.94375	17.7		26.86875	29.7
	18.068749999999998	19.2		27.762500000000006	30.7
	18.34375	19.8		27.775	26.6
	18.306250000000002	18.2		27.5875	28.6
	18.76875	17.8		28	30.6
	19.20625	18.5		28.55	24
	19.6125	18		28.606250000000003	25.7
	19.331249999999997	17.5		27.95625	31.2
	19.26875	19.3		26.675	29.4
	19.262500000000003	19.7		27.537499999999998	31.1
	19.481250000000003	21		28.862499999999997	32.5
	20.00625	21.4		28.406250000000004	32.5
	19.875	19		27.993750000000002	24.6
Jun.	20.524999999999995	18.7		29.66875	26.3
	21.087500000000002	19.2		28.61875	29.3
	21.23125	20.2		28.549999999999997	29.3
	21.025000000000002	21.6		28.5625	31.9
	20.5375	20.4		27.906249999999996	22.9
	20.5	19.6		28.3625	31
	20.9125	23.1		29.19375	29.4
	21.049999999999997	19.7		29.975	23.8
	21.668750000000003	19.1		28.95	26.4
	21.343749999999996	19.8		28.906250000000004	27.9
	20.95625	19		27.6375	31.9
	20.8375	18.9		27.725	27.3
	21.350000000000005	19.9		29.474999999999998	32
	22.03125	20.7		29.400000000000002	32.1
	21.950000000000003	21.4		29.0375	31.7
	22.525	22.5		29.75	31.4
	22.487500000000004	22.2		29.506249999999994	30.2
	22.9125	23.3		29.806250000000002	32.7
	22.912499999999998	21.2		29.65625	26.9
	22.806250000000002	20.3		29.806249999999995	29.4
	22.606249999999996	23.4		28.98125	31.8
	22.64375	23.5		29.4125	32
	22.856249999999996	20.7		28.9	25.4
	22.7625	20.4		29.881249999999998	33.3
	23.13125	24.7		29.037500000000005	34.4
	23.418749999999992	25.3		29.206249999999997	34.2
	23.518749999999997	24.1		29.90625	33.8
	23.68125	24.9		30.11875	28.7
	23.531249999999996	25.3		30.6875	26.6
	23.7125	25.8		30.5375	32.6
Jul.	23.393749999999997	25.4		29.431250000000002	29.3
	22.85625	25.1		28.94375	31.5
	22.893749999999997	23.3		28.631249999999998	27.6
	23.3125		22.6	28.406250000000004		26.5
	23.531249999999996		22.3	28.881249999999998		28.4
	23.681249999999995		21.3	29.325000000000006		29.9
	23.706250000000004		21.3	30.24375		30.9
	24.550000000000004		23.2	31.068749999999998		32
	24.9625		23.7	30.85625		29.3
	24.825000000000003		23.9	31.575000000000003		31.6
	24.83125		25.7	31.375		33.4
	24.906250000000004		24.7	30.7875		30.4
	24.7125		24.5	30.1375		29.9
	24.60625		24.5	30.375		30.4
	24.675		24.7	30.71875		30.8
	25.256250000000005		25.1	31.581249999999997		31.4
	25.443749999999998		25.1	31.099999999999994		30.6
	25.08125		24.7	31.1		31
	24.95625		24.8	30.974999999999998		30.6
	25.09375		25	30.931250000000006		30.8
	25.343749999999996		25.2	31.099999999999998		30.8
	25.29375		25.1	31.7		31.4
	25.131249999999998		24.8	30.8		30.3
	24.650000000000002		25.2	30.037500000000005		29.1
	24.73125		24.6	30.375000000000004		30
	24.54375		24.6	30.031249999999996		30
	24.512500000000006		24.5	29.968750000000004		30
	24.2625		24.3	30.01875		30.1
	24.325		24.3	30.40625		30.5
	24.44375		24.3	29.8375		29.7
	24.16875		24.2	30.05625		29.9
Ago.	24.018750000000004		23.9	30.33125		30.4
	23.643750000000004		23.6	29.768750000000008		29.7
	23.4875		23.5	29.906250000000004		29.9
	23.5375			29.593750000000007
	23.61875			29.587500000000006
	23.4625			29
	22.974999999999998			29.418750000000006
	23.062500000000004			28.97500000000001
	22.618749999999995			28.375000000000004
	21.89375			28.2375
	21.68125			28.24375
	21.856250000000003			27.787499999999998
	21.593749999999996			26.456249999999997
	21.312499999999996			27.31875
	21.54375			27.7375
	20.85625			26.9375
	20.49375			27.38125
	20.85			27.53125
	20.925			27.28125
	20.425			26.768750000000004
	20.074999999999996			26.150000000000006
	20.012500000000003			27.168749999999996
	20.26875			27.518749999999997
	20.3			26.974999999999998
	19.8375			26.3625
	20.1375			26.41875
	19.981249999999996			26.75625
	19.793750000000003			26.5875
	19.637500000000003			25.362499999999997
	20.13125			26.1
	20.156249999999996			25.93125
Set.	20.04375			25.856249999999996
	19.7125			25.706249999999997
	18.799999999999997			25.143750000000004
	18.9			25.2625
	18.38125			25.3375
	18.212499999999995			25.031250000000004
	17.5875			25.718750000000004
	17.387500000000003			24.968750000000004
	17.650000000000002			24.768749999999997
	17.26875			23.749999999999996
	17.85			23.706249999999997
	17.943749999999998			24.21875
	17.981250000000003			23.99375
	18.043750000000003			23.281249999999996
	16.924999999999997			23.89375
	16.4			23.837500000000002
	16.650000000000002			23.674999999999997
	16.49375			23.775000000000002
	15.518750000000002			22.88125
	15.30625			22.5
	14.924999999999999			21.212500000000002
	14.65			21.85
	15.1			20.943749999999998
	15.15625			22.056250000000002
	14.649999999999999			22.293750000000003
	14.39375			21.3125
	13.675000000000002			20.81875
	13.78125			20.6875
	13.95			20.7375
	13.712500000000002			21.10625
Out.	13.343749999999998			20.00625
	13.525			20.349999999999998
	13.437500000000002			19.85625
	12.40625			19.543750000000003
	11.85			19.66875
	12.024999999999999			18.6625
	12.01875			19.143749999999997
	12.562499999999998			19.812499999999996
	11.925000000000004			19.08125
	10.787499999999998			18.76875
	10.487499999999999			18.08125
	10.681249999999999			18.10625
	10.69375			17.637500000000003
	11.0625			18.78125
	10.8625			18.11875
	10.70625			18.31875
	10.418750000000001			18.45
	10.73125			17.962500000000002
	10.6375			17.525
	9.700000000000001			17.575
	9.618749999999999			17.287499999999998
	9.44375			16.69375
	9.43125			16.575
	8.725000000000001			15.818750000000001
	8.11875			15.137500000000001
	7.75			15.20625
	7.975			15.13125
	8.35			14.893749999999999
	7.706250000000001			15.25625
	7.406249999999999			15.012500000000001
	7.237499999999999			14.843750000000002
Nov.	7.475000000000001			15.2125
	7.543749999999999			14.3625
	7.11875			13.700000000000001
	5.893750000000001			13.268749999999999
	5.98125			13.543750000000001
	6.475			13.500000000000002
	7.043750000000001			13.69375
	6.7437499999999995			13.187499999999998
	4.8374999999999995			11.59375
	2.9250000000000007			10.012499999999998
	3.0687499999999996			10.075000000000001
	3.38125			10.15
	3.5937500000000004			10.493750000000002
	3.8312500000000003			10.887499999999998
	3.6750000000000003			10.468750000000002
	2.3000000000000007			8.793750000000001
	1.9687499999999998			8.8875
	1.45			9.200000000000001
	1.4937500000000004			8.6625
	1.39375			8.993750000000002
	1.7875			9.706250000000002
	1.1375			9.1
	0.7124999999999999			8.625
	1.4062500000000002			8.51875
	1.5812499999999998			8.525
	1.3937499999999998			8.16875
	0.4937499999999999			6.34375
	0.11249999999999998			6.275
	0.006250000000000103			7.3187500000000005
	0.13124999999999998			6.8625
Dez.	0.1500000000000001			5.781249999999999
	-0.8312499999999999			4.75625
	-2.1812500000000004			4.56875
	-1.6500000000000001			6.156249999999999
	-0.7312500000000001			6.51875
	-0.6187500000000001			5.6625000000000005
	-0.50625			6.475
	0.062499999999999806			6.375
	-0.5312499999999999			5.93125
	-1.6375			4.76875
	-1.6000000000000003			4.8125
	-1.5187500000000003			5.36875
	-1.5625			5.59375
	-0.8187499999999999			5.775
	-0.81875			6.55625
	-2.51875			5.518749999999999
	-3.3266666666666667			3.920000000000001

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Resumo Anual 2026

34°C

Temp. Mais Alta

9 Jul. 26

-8°C

Temp. Mais Baixa

21 Jan. 26

Análise Sazonal

Mês Mais QuenteJulho30.61°C

Mês Mais FrioJaneiro-0.9°C

Mês Mais ChuvosoJulho11.04mm

Mês Mais VentosoFevereiro23.16km/h

Xinpu Perspectivas sobre Mudanças ClimáticasVeja como os padrões climáticos estão evoluindo ao longo do tempo. Mudanças de temperatura, tendências de chuva e eventos extremos—tudo em um só lugar.

Classificação Mundial de Cidades por ClimaExplore em tempo real as cidades mais quentes e mais frias do mundo com base nos dados de temperatura atuais.

Frequently Asked Questions

1. Qual é o mês historicamente mais quente em Xinpu?

Julho é historicamente o mês mais quente de Xinpu, com temperaturas máximas médias de aproximadamente 30°C. Durante os picos de ondas de calor, as temperaturas mais altas registradas atingiram 38°C em 2023-06-09.

2. Qual é o mês historicamente mais frio em Xinpu?

Janeiro é o mês mais frio de Xinpu, com temperaturas mínimas médias de aproximadamente -2°C. O recorde histórico mais baixo de -14°C foi registrado em 2021-01-07.

3. Qual é a precipitação anual média em Xinpu nos últimos 17 anos?

A precipitação anual média de Xinpu é de aproximadamente 946.6mm, com base em registros abrangendo 17 anos.

4. Quantos dias de chuva Xinpu experimenta em média por ano?

Xinpu historicamente registra aproximadamente 123.8 dias de chuva por ano. Julho tem o maior número de dias de chuva com uma média de 21.7 dias.

5. Qual é a temperatura mais alta já registrada em Xinpu?

A temperatura mais alta já registrada em Xinpu é 38°C em 2023-06-09.

6. Qual é a temperatura mais baixa já registrada em Xinpu?

A temperatura mais baixa já registrada em Xinpu é -14°C em 2021-01-07.

7. Qual é historicamente a época mais ventosa do ano em Xinpu?

Xinpu experimenta seus ventos mais fortes durante Abril. O recorde histórico de rajada de 47.6 kph foi registrado em 2013-03-09.

8. Qual é a umidade mais alta e mais baixa em Xinpu durante um ano?

Normalmente, a umidade de Xinpu atinge seu pico em Agosto em torno de 83.1% e cai ao seu mínimo em Dezembro a aproximadamente 55.1%.

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Xinpu Registros Históricos do Tempo
Analise os dias mais quentes, mais frios, mais ventosos e mais chuvosos

Xinpu Gráfico de Tendências Climáticas

Resumo Anual 2026

Análise Sazonal

Frequently Asked Questions

Blogs recentes sobre o clima

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

Xinpu Registros Históricos do TempoAnalise os dias mais quentes, mais frios, mais ventosos e mais chuvosos

Xinpu Gráfico de Tendências Climáticas

Resumo Anual 2026

Análise Sazonal

Frequently Asked Questions

Blogs recentes sobre o clima

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

Xinpu Registros Históricos do Tempo
Analise os dias mais quentes, mais frios, mais ventosos e mais chuvosos