Gaoping Registros Históricos del Tiempo
Analice los días más calurosos, fríos, ventosos y lluviosos

Gaoping Gráfico de Tendencias Climáticas

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	4.475	6.5		11.624999999999998	7.3
	4.79375	6.5		11.61875	7.8
	4.231249999999999	5.9		10.999999999999998	7
	4.575	5.3		11.225	9.8
	5.01875	5.5		11.15625	11.7
	4.956249999999999	3.9		10.85625	11.3
	4.20625	4.2		10.975000000000001	11.8
	4.3687499999999995	5.2		11.23125	12
	4.5125	5.2		11.318750000000001	12.9
	4.3875	6.2		11.4125	14.2
	3.6374999999999997	6.4		12.1375	11.2
	3.575	8.4		12.75	15.5
	4.175	8.3		12.61875	16
	4.38125	9.5		11.962499999999999	15.2
Ene.	4.8999999999999995	7.5		11.19375	16
	4.449999999999999	8.8		11.631250000000001	17.3
	4.031250000000001	10		12.19375	17.7
	4.3875	11.1		12.35625	16.1
	4.5625	8.5		12.481250000000001	13.9
	5.293749999999999	3		11.8875	8.2
	4.2625	2.7		12.23125	4.7
	3.9562500000000007	2.7		12.006250000000001	7.8
	4.4875	6.9		11.64375	9.8
	5	4.8		11.5	9.7
	4.2124999999999995	7.7		11.712499999999999	8.5
	4.70625	7.9		11.737499999999999	11.7
	4.081250000000001	7.6		12.156249999999998	13.9
	3.96875	7.4		11.806249999999997	12.8
	4.075	8.8		12.625	10.1
	4.3625	5.2		12.468749999999998	9.2
	4.906249999999999	3.4		12.393749999999999	11.2
	4.66875	5.6		12.4875	12.5
	5.5875	6.1		12.38125	13.9
	4.9750000000000005	8.9		13.29375	12
	5.5125	8.4		13.537499999999998	14.6
	4.981249999999999	6.6		13.437500000000002	15.2
	5.7	8.7		13.3875	17.4
	5.6875	10.2		12.918749999999996	14
	4.999999999999999	7.1		12.593749999999998	10.9
	5.337500000000001	7.8		13.05	10.9
	5.312499999999999	4.7		12.762499999999998	14.1
	5.281250000000001	6.8		13.1875	15
	5.525	8		13.493749999999999	17.2
	5.612499999999999	9.5		12.725000000000001	16.9
	5.74375	9.1		12.968750000000002	19.2
Feb.	5.39375	11.9		13.056249999999999	15.1
	5.7437499999999995	8		14.437500000000004	11.1
	6.3375	8.2		14.237499999999999	15.6
	6.906250000000001	9.5		13.95625	15.1
	6.55625	10.5		14.575000000000001	18.6
	6.893750000000001	11.3		14.118749999999999	20.2
	6.34375	11.7		13.825000000000001	22.8
	6.7250000000000005	14		13.787500000000001	22.5
	7.131249999999999	12.5		14.131249999999998	16.8
	7.2375	12.5		15.637500000000003	20
	7.275000000000001	13.1		15.624999999999998	16.1
	7.7437499999999995	12.6		16.05	17.3
	8.05	11.7		16.15	21.5
	8.412499999999998	14.3		16.068749999999998	17.7
	8.575	10.5		17.287499999999998	13.6
	8.231250000000001	10.9		15.70625	14.4
	8.08125	13.7		16.75625	19.6
	8.1375	12.5		17.01875	21.2
	9.206249999999999	15.1		16.6875	21.7
	9.212500000000002	14.1		16.299999999999997	16.6
	8.66875	12.4		17.087499999999995	15.2
	9.493750000000002	11.4		18.36875	12.2
	10.0625	11.3		18.6625	14.6
	10.412500000000001	10.1		17.93125	20.5
	10.081250000000002	12.6		19.224999999999998	22.4
	10.49375	14		18.98125	18.4
	10.4625	13.6		19.40625	17.4
	10.68125	8.1		19.393749999999997	14.5
Mar.	10.7	8.1		19.543749999999996	8.8
	11.18125	8.5		19.45625	9.6
	11.593749999999998	9.3		20.550000000000004	11.3
	11.63125	9.9		20.93125	16.9
	11.787500000000001	8.8		21.131249999999998	12.2
	10.706250000000002	10.4		20.45	15.4
	11.018749999999999	12.6		19.768749999999997	16.3
	10.924999999999999	14.6		18.23125	17.3
	10.6375	12.7		18.118750000000002	16.3
	10.537500000000001	12.3		18.43125	19.3
	10.856250000000001	13.4		19.38125	17.8
	10.80625	11.6		20.700000000000003	22.4
	11.950000000000001	15		21.525000000000002	21.5
	11.468750000000002	14.9		21.243750000000002	21.6
	12.4	15.3		21.018749999999997	19.4
	12.681250000000002	13.6		20.95	22.4
	13.287499999999998	13.4		20.3375	22.8
	12.43125	13		21.33125	24.2
	13.53125	14.7		21.468750000000004	16.3
	13.156249999999998	13.5		21.45625	24.9
	13.65	15.5		21.69375	27.2
	12.862499999999999	18		20.11875	21
	12.35625	16.8		20.512500000000003	18.8
	12.337499999999999	15.7		21.48125	17
	13.199999999999998	15.9		22.650000000000002	21.1
	14.037500000000001	15.8		23.2875	26.9
	14.549999999999999	18		23.175	26.2
	15.375	15.9		23.50625	19
	14.874999999999998	14.3		23.66875	23.4
	14.068749999999998	16.1		23.19375	18.6
	14.387500000000001	15.9		23.049999999999997	21.8
Abr.	14.168749999999998	16.2		24.1625	21.5
	14.66875	16.5		24.862499999999997	26.7
	15.79375	15.8		26.012500000000003	26.4
	16.41875	17.7		26.118750000000002	28.3
	15.9125	17.3		25.768749999999997	27.6
	16.325	13.7		24.31875	16.2
	15.63125	13.1		24.51875	14.5
	15.325000000000003	11.6		23.7	21.8
	15.462499999999999	14.9		23.575000000000003	25.5
	15.662499999999998	17.9		23.043749999999996	27.5
	15.212500000000002	18.7		23.7625	29.9
	15.5	18.6		25.287499999999998	25
	16.06875	17.3		27.20625	21.8
	16.825	14		27.15	17.4
	17.21875	12.4		27.562500000000004	21.9
	17.181250000000006	14		27.7	24.1
	16.70625	15.5		26.75	19.3
	17.062500000000004	15.2		26.224999999999998	25.3
	17.400000000000002	15.6		25.431250000000002	25.2
	17.36875	14.6		26.85625	26.1
	17.90625	17.2		25.825000000000003	29.3
	17.031250000000004	18		26.275000000000002	22.4
	17.843749999999996	17.6		26.34375	25.7
	18.099999999999998	15.4		26.562499999999996	19.2
	17.706250000000004	15.4		26.10625	25.5
	17.575	18.4		25.64375	28.9
	17.781249999999996	20.3		26.993750000000002	30.1
	18.081250000000004	18.1		28.000000000000004	24.6
	18.0875	15.8		27.306250000000002	28.1
	18.05625	20.9		25.681250000000002	31.2
Mayo	18.075	18.5		25.5375	20.7
	17.8875	18.2		27.00625	24
	18.031249999999996	20.7		27.724999999999998	26
	19.262500000000003	20.8		28.2625	25
	19.606250000000003	19.7		28.981249999999996	24.4
	20.056250000000002	17.9		28.75625	29.2
	19.2	23.8		26.9	30.4
	18.368750000000002	22.7		25.981250000000003	30.3
	18.268749999999997	23.8		27.15	30.1
	19.14375	23.6		27.512499999999996	29.6
	18.806250000000002	22.6		26.443749999999994	31
	18.6	23.1		27.093750000000004	28.4
	18.174999999999997	22.6		26.7125	25.6
	18.856249999999996	19		27.21875	23
	19.150000000000002	17.6		26.59375	23.1
	18.89375	16.4		27.5375	28.1
	19.2625	19.7		27.550000000000004	30.9
	20.05	21.5		27.331250000000004	26.7
	20.037499999999998	18.5		28.331250000000004	26.5
	19.7625	21.8		26.656249999999996	30.3
	19.5375	22.2		27.90625	32.1
	19.606250000000003	24.6		28.662499999999998	34.2
	19.99375	23.3		29.2875	34.9
	21.00625	16.1		30.1375	25.2
	21.525000000000006	15.6		29.443749999999998	17.1
	20.593749999999996	14.4		27.8375	26.4
	20.55625	18.8		29.418750000000003	28.5
	21.387499999999996	19.5		29.412500000000005	29.4
	21.2625	18.8		29.05	24.8
	21.199999999999996	17.5		29.65	28.3
	21.65	19.7		30.28125	31.2
Jun.	21.693750000000005	22		30.1625	32.9
	21.9125	23.2		30.64375	26.6
	21.6875	20.7		29.275000000000002	23.1
	21.575	20.3		29.881249999999998	25.3
	22.425000000000004	19.9		30.474999999999998	30.2
	22.550000000000004	22.6		29.581250000000004	30
	22.08125	21.4		29.89375	24.8
	22.106249999999996	20.4		30.012500000000003	21.3
	22.425	20.6		29.887500000000003	21.5
	22.25	20.3		29.3	25.3
	21.8375	20.9		29.300000000000004	25.3
	21.85	20		30.106250000000003	27.7
	22.281249999999996	18.9		30.143750000000004	28.4
	22.712500000000006	21.9		30.2	28.6
	22.88125	20.3		30.89375	29.5
	23.087499999999995	21		30.756249999999998	28.9
	23.45	20.2		30.956250000000004	31.6
	23.243750000000002	21.4		31.412499999999994	28.3
	23.125	20.4		31.250000000000004	28.4
	22.887499999999996	22.3		30.612499999999997	30.7
	22.4625	23.8		30.73125	32.9
	22.737499999999997	25.1		30.637499999999996	35.1
	23.306250000000002	26.1		31.525000000000002	35.6
	23.918749999999996	25.2		31.675	35.6
	23.849999999999998	25.5		31.962500000000002	35.4
	23.737499999999994	26.5		31.849999999999998	35.8
	23.76875	25.5		30.900000000000002	35.5
	23.512500000000003	24		31.54375	34.7
	24.025000000000006	25.6		32.16250000000001	34.7
	23.706249999999997	26.4		31.731250000000003	36.4
Jul.	23.668749999999996	26.9		32.0375	36.4
	23.799999999999994	26.7		32.24375	35.9
	24.068749999999994	24.5		32.00625	32.5
	24.075000000000003	23.8		32.1875	32.6
	23.987499999999997	22.5		31.83125	34.2
	23.8375	23.7		32.6875	35.2
	24.499999999999993	25.1		33.0625	36.4
	24.2125	26		32.0375	36.3
	23.868750000000002	26.3		32.756249999999994	36.3
	24.268749999999997	26.7		33.03125000000001	36.1
	24.6	25.5		33.4	35.8
	25.1	26.4		33.550000000000004	36.2
	25.181250000000002	23.8		34.056250000000006	36.5
	25.150000000000002	22.3		34.15625	33.3
	25.112499999999997	23.9		33.7875	33.2
	25.1375	24.4		33.887499999999996	32.3
	25.318749999999998	24.1		33.95625	30.9
	24.668750000000003	23.4		33.21875	32
	24.556250000000002	21.6		33.9875	23.2
	25.337500000000002	20.8		34.400000000000006	24.6
	25.750000000000004	20.9		34.324999999999996	30.3
	25.55625	23		34.3	33
	25.537499999999998	23.8		34.13125	32.3
	25.55	23.9		33.8125	32.9
	24.656250000000004		24.1	32.53125		29.4
	24.493750000000002		23.3	33.05625		33.3
	25.206249999999997		24.4	33.9		34.3
	24.893750000000004		24.7	33.0625		35
	25.112499999999994		25	33.337500000000006		35.8
	25.075000000000003		24.3	34.58749999999999		34.6
	25.462499999999995		23.7	34.63125		33.6
Ago.	25.4875		23.6	34.743750000000006		31.1
	25.924999999999997		25.7	34.706250000000004		34.6
	25.712500000000002		25.6	34.225		34.1
	25.575000000000003		25.4	34.58125		34.1
	25.493750000000006		25.3	33.837500000000006		33.7
	25.625000000000007		25.4	34.49375		33.9
	25.10625		24.9	33.5125		33.7
	24.056250000000002		24.3	32.099999999999994		31.9
	24.2625		24.1	33.01875		33.2
	24.368750000000006		24.2	32.84375000000001		32.9
	24.093749999999996		24.2	31.643749999999997		32
	23.8375		23.7	32.300000000000004		31.8
	23.637499999999996		23.4	32.43124999999999		32.3
	23.35625		23.6	32.00625		32.1
	23.056250000000002		22.8	31.225000000000005		30.7
	22.750000000000004		22.3	30.60625		29.9
	22.56875		22.3	28.774999999999995		28.7
	22.150000000000002		21.9	28.81875		29.5
	22.05		22.1	29.5375		30.1
	22.325		22.5	30.368749999999995		30.4
	22.4875		22.7	29.50625		29.7
	22.275		22	29.55		29.5
	21.150000000000002		21.5	28.543750000000003		29.3
	21.162500000000005		21.5	29.225000000000005		29.7
	21.64375			28.475000000000005
	21.824999999999996			28.387500000000006
	21.80625			28.806249999999995
	21.125000000000004			28.974999999999998
	21.325000000000003			28.712500000000002
	20.712500000000002			27.981250000000003
	20.537499999999998			27.812499999999996
Sep.	21.0375			27.8625
	21.35625			28.056250000000006
	20.5			26.51875
	20.106249999999996			26.2375
	20.09375			26.45
	19.69375			26.793750000000003
	19.5875			26.381249999999998
	19.256250000000005			25.48125
	19.1125			25.318749999999998
	19.112500000000004			25.493750000000002
	18.8875			25.18125
	18.5125			24.499999999999996
	18.331250000000004			23.437500000000004
	18.618750000000002			25.181250000000002
	18.9125			25.5875
	19.037499999999998			25.793749999999996
	18.743749999999995			24.518749999999997
	18.450000000000003			24.662500000000005
	18.181250000000002			23.39375
	17.293750000000003			22.83125
	16.78125			23.093750000000004
	16.8125			22.243750000000002
	16.74375			22.9625
	17.19375			23.0875
	17.431250000000002			23.4625
	16.575000000000003			22.806250000000002
	15.987499999999999			21.85625
	15.775			20.906250000000004
	15.8125			20.95625
	15.450000000000003			21.76875
Oct.	15.45625			21.25
	15.575			21.324999999999996
	15.518750000000002			22.312500000000007
	15.468749999999998			21.2375
	15.200000000000003			21.9125
	15.33125			21.737499999999994
	15.23125			22.025
	15.11875			21.83125
	15.662500000000001			22.274999999999995
	15.093750000000002			20.775
	14.843749999999998			20.343750000000004
	14.518749999999999			19.3
	14.15625			18.75625
	13.599999999999998			19.662499999999998
	13.587499999999999			19.406249999999996
	13.85			20.04375
	13.924999999999999			19.3625
	13.5625			19.912499999999998
	13.618750000000002			20.224999999999998
	13.612499999999997			20.225
	13.412499999999998			18.781249999999996
	13.143750000000002			19.456249999999997
	12.837499999999999			19.25
	12.899999999999999			17.862499999999997
	12.19375			18.5875
	12.693750000000001			18.631250000000005
	12.649999999999999			18.606250000000003
	12.281249999999998			18.76875
	12.08125			17.574999999999996
	11.318750000000001			17.49375
	11.35625			17.318749999999998
Nov.	11.968750000000002			17.5
	11.70625			17.75
	10.937500000000002			17.037500000000005
	10.456249999999999			16.900000000000002
	10.106250000000001			17.012500000000003
	10.84375			16.950000000000003
	11.24375			16.456249999999997
	10.9125			16.762499999999996
	9.8875			15.70625
	9.337499999999999			14.91875
	8.55			14.918749999999998
	9.168750000000001			15.4375
	9.85			15.443749999999998
	9.35			15.481250000000001
	8.9375			14.86875
	7.906249999999999			14.325
	8.08125			14.031250000000002
	7.6			14.343750000000002
	8.0125			14.299999999999997
	7.737499999999999			14.081249999999999
	8.224999999999998			14.256250000000003
	7.737500000000001			13.956249999999999
	7.1625			14.287500000000001
	7.675			13.55
	7.1875			13.6875
	7.45625			13.55625
	6.9750000000000005			12.299999999999999
	6.518750000000001			12.65
	7.199999999999999			12.66875
	7.143749999999999			11.881249999999998
Dic.	6.093750000000001			11.68125
	5.0249999999999995			11.71875
	4.19375			11.4625
	4.46875			11
	4.65			11.418750000000001
	4.78125			11.7875
	5.081250000000001			11.625
	4.60625			12.05625
	5.074999999999999			12.087499999999997
	4.8375			11.687500000000002
	5.3			11.737499999999999
	5.225			11.0375
	4.69375			11.393749999999999
	4.2250000000000005			11.3625
	4.49375			10.96875
	3.78125			10.925
	4.066666666666666			11.706666666666667

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Resumen Anual 2026

37°C

Temp. Más Alta

27 Jul. 26

3°C

Temp. Más Baja

21 Ene. 26

Desglose Estacional

Mes Más CalurosoJulio34.22°C

Mes Más FríoEnero6.48°C

Mes Más LluviosoAgosto10.17mm

Mes Más VentosoAbril14.59km/h

Gaoping Perspectivas sobre el Cambio ClimáticoVea cómo evolucionan los patrones climáticos con el tiempo. Cambios de temperatura, tendencias de lluvia y eventos extremos—todo en un solo lugar.

Clasificación Mundial de Ciudades por ClimaExplore en tiempo real las ciudades más cálidas y frías del mundo según los datos de temperatura actuales.

Frequently Asked Questions

1. ¿Cuál es el mes históricamente más caluroso en Gaoping?

Agosto es históricamente el mes más caluroso de Gaoping, con temperaturas máximas promedio de alrededor de 33°C. Durante los picos de olas de calor, las temperaturas más altas registradas han alcanzado 42°C el 2022-08-21.

2. ¿Cuál es el mes históricamente más frío en Gaoping?

Enero es el mes más frío de Gaoping, con temperaturas mínimas promedio de alrededor de 5°C. El récord histórico más bajo de -3°C se registró el 2011-01-20.

3. ¿Cuál es la precipitación anual promedio en Gaoping en los últimos 17 años?

La precipitación anual promedio de Gaoping es de aproximadamente 1243.5mm, basado en registros de 17 años.

4. ¿Cuántos días de lluvia experimenta Gaoping en promedio por año?

Gaoping registra históricamente aproximadamente 207.4 días de lluvia por año. Julio tiene el mayor número de días de lluvia con un promedio de 22.7 días.

5. ¿Cuál es la temperatura más alta jamás registrada en Gaoping?

La temperatura más alta jamás registrada en Gaoping es 42°C el 2022-08-21.

6. ¿Cuál es la temperatura más baja jamás registrada en Gaoping?

La temperatura más baja jamás registrada en Gaoping es -3°C el 2011-01-20.

7. ¿Cuándo es históricamente la época más ventosa del año en Gaoping?

Gaoping experimenta sus vientos más fuertes durante Mayo. El récord histórico de ráfaga de 41 kph se registró el 2025-03-27.

8. ¿Cuál es la humedad más alta y más baja en Gaoping durante un año?

Normalmente, la humedad de Gaoping alcanza su punto máximo en Septiembre con alrededor de 74.9% y cae a su mínimo en Marzo con aproximadamente 60.9%.

Blogs recientes sobre el clima

Ver todos los blogs

Gaoping Registros Históricos del Tiempo
Analice los días más calurosos, fríos, ventosos y lluviosos

Gaoping Gráfico de Tendencias Climáticas

Resumen Anual 2026

Desglose Estacional

Frequently Asked Questions

Blogs recientes sobre el 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

Gaoping Registros Históricos del TiempoAnalice los días más calurosos, fríos, ventosos y lluviosos

Gaoping Gráfico de Tendencias Climáticas

Resumen Anual 2026

Desglose Estacional

Frequently Asked Questions

Blogs recientes sobre el 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

Gaoping Registros Históricos del Tiempo
Analice los días más calurosos, fríos, ventosos y lluviosos