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

Bayantal Gráfico de Tendencias Climáticas

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-21.381249999999998	-21.4		-14.55625	-13.5
	-21.612499999999997	-19.8		-14.28125	-10.7
	-21.806250000000002	-19.4		-13.66875	-9.7
	-22.25	-19.2		-13.9875	-12.6
	-22.612499999999994	-19.4		-14.6375	-11.5
	-22.43125	-18.9		-14.8125	-12.2
	-22.0375	-19.2		-14.25	-12.2
	-21.83125	-16.6		-14.31875	-10.2
	-21.85625	-27.8		-13.7125	-13.5
	-22	-24.3		-13.168750000000001	-19.6
	-22.01875	-19.7		-12.612500000000002	-6.9
	-21.41875	-21.1		-12.731249999999998	-14.6
	-21.8875	-18.4		-13.16875	-11.2
	-21.918750000000003	-18		-13.743750000000002	-11.3
Ene.	-22.6	-27.5		-13.9875	-15.6
	-22.318749999999998	-28.6		-13.6	-22.4
	-21.575	-29		-12.387500000000003	-21.9
	-19.86875	-29.8		-12.018749999999999	-25.9
	-21.575	-32.2		-13.54375	-25.6
	-22.91875	-31.3		-13.7125	-23.6
	-22.325000000000003	-31.6		-14.043750000000001	-20.2
	-22.349999999999998	-29.3		-13.850000000000001	-20.7
	-22.03125	-27.5		-13.51875	-17.6
	-21.599999999999998	-25.2		-13.243749999999999	-15
	-21.712500000000002	-22.9		-12.49375	-16.1
	-22.156249999999993	-23.4		-13.249999999999998	-15
	-22.88125	-25.4		-14.312499999999996	-16.1
	-22.16875	-25.6		-12.556249999999999	-16.5
	-21.91875	-23.6		-13.143749999999999	-14.3
	-21.9625	-24.3		-12.925000000000002	-15.1
	-22.8125	-23		-13.000000000000004	-12.8
	-23.131249999999998	-18.8		-13.10625	-7.8
	-23.3625	-18.2		-13.41875	-6.3
	-22.7	-18.9		-12.856250000000003	-10.4
	-21.225	-21.8		-11.512500000000001	-13.9
	-21.043750000000003	-26.2		-11.36875	-19.7
	-21.506249999999998	-27.3		-13.16875	-15.7
	-21.924999999999997	-25.3		-11.931249999999999	-14
	-20.89375	-20.7		-11.368750000000002	-7.4
	-20.706249999999997	-20.8		-11.09375	-9.4
	-19.65	-20.9		-9.656250000000002	-7.5
	-19.9875	-17.7		-10.5125	-5.5
	-19.81875	-15.2		-9.825000000000001	-3
	-20.15625	-12.2		-11.225000000000001	-3.6
	-19.881249999999998	-20		-10.36875	-14.5
Feb.	-19.8	-21.3		-9.9625	-10.2
	-19.131249999999998	-20.2		-9.125000000000002	-7.4
	-18.975	-15.2		-8.5625	-4.2
	-19.031250000000004	-13.8		-8.450000000000001	-3
	-17.95	-12.9		-8.33125	1
	-18.34375	-9.4		-7.55625	1
	-17.74375	-20		-8.200000000000001	-7.8
	-17.4	-23.7		-6.774999999999999	-16.2
	-15.98125	-26.1		-5.58125	-13.5
	-15.63125	-19.7		-5.84375	-5.9
	-15.0375	-23.5		-4.937500000000001	-8.3
	-13.956249999999999	-24.7		-4.4375	-12.9
	-14.7125	-23.6		-5.21875	-12.5
	-15.6375	-19.6		-7.481249999999999	-10.5
	-14.8375	-18.2		-4.6187499999999995	-8.6
	-12.94375	-19.8		-2.5875000000000004	-10.9
	-12.806249999999999	-23.9		-2.8937500000000003	-14.8
	-12.68125	-22		-4.39375	-11.9
	-13.393749999999999	-23.9		-3.7187500000000004	-11.5
	-11.881249999999998	-20.1		-3.31875	-5.9
	-11.912500000000001	-15.8		-2.8249999999999997	-5
	-11.475000000000003	-17.5		-1.3750000000000002	-3.4
	-10.706249999999999	-13.4		-0.4	-1.9
	-10.631250000000001	-15.5		-0.5125	-1.7
	-10.325000000000001	-10.6		-1.6562499999999998	4.2
	-10.818749999999998	-10.6		-0.41249999999999987	0.7
	-9.3125	-18.1		0.18749999999999994	-9.7
	-9.674999999999999	-15.1		-0.012500000000000178	1.3
Mar.	-9.456249999999999	-10.6		0.32499999999999996	1.9
	-7.4625	-8.5		1.7250000000000005	0.1
	-7.437499999999998	-13.6		1.5687499999999999	-8.4
	-7.093749999999999	-11.5		1.84375	-0.8
	-7.675000000000001	-9.3		-0.4999999999999999	4.2
	-7.9125	-8.2		1.24375	2.8
	-7.30625	-4.8		2.3	1.8
	-7	-8.1		1.8	6.2
	-7.1625	-0.7		1.7562500000000005	10.4
	-6.3687499999999995	-1.5		3.2687499999999994	6.3
	-5.687499999999999	-1.6		4.5	7.7
	-5.8999999999999995	-4.8		3.825000000000001	7.5
	-5.65	-1.3		3.36875	10.5
	-5.3	-0.4		4.35625	6.3
	-4.09375	-5.3		5.012499999999999	4.9
	-3.974999999999999	-2.7		5.575	8.9
	-3.8187500000000005	-4.8		5.325	3.6
	-3.8875	-2.7		5.59375	9.2
	-3.9437500000000005	0.2		5.093749999999999	8
	-3.71875	-3.2		5.825	6.1
	-3.3125000000000004	-3.6		6.33125	4.1
	-4.31875	-4.8		5.0249999999999995	0.3
	-4.05	-5.9		6.1875	2.4
	-3.0250000000000004	-4.7		7.69375	13.6
	-1.7437500000000001	2.5		6.918749999999999	7.9
	-1.51875	-0.1		8.362499999999999	12.7
	-2.31875	1.7		7.01875	11.7
	-2.8999999999999995	1.5		6.349999999999999	15.5
	-2.3687499999999995	-2.7		7.76875	7.8
	-0.9687499999999998	-2		9.09375	9.7
	-0.18125000000000005	3.2		11.631250000000001	14.5
Abr.	-0.20000000000000007	0.6		9.537500000000001	6.6
	-0.32499999999999996	-1		9.475000000000001	13.6
	-0.28125	2.2		10.431250000000002	18.5
	0.35625	-0.9		11.38125	18.1
	1.5187500000000003	-9.3		11.524999999999999	1
	-0.23125	-2.1		9.1125	10.9
	1	2.1		10.812499999999998	11.6
	0.3937499999999998	3.9		10.56875	15
	0.14999999999999997	6.5		9.612499999999999	14.1
	-0.39375	3.2		10.812499999999998	18.6
	-0.03124999999999991	7.7		10.1	14.3
	0.375	2.5		10.73125	9.6
	1.8250000000000002	0.6		12.15625	6.9
	2.60625	1		13.7	14.2
	2.3249999999999997	4.7		12.65	22.5
	2.7875	4.4		14.025000000000002	12
	4.2562500000000005	4.1		15.631250000000001	13.6
	5.09375	3.8		15.056249999999999	13.8
	4.1	5.4		14.8875	19.7
	3.0749999999999997	9.2		13.4	24.6
	2.3874999999999997	3.9		13.399999999999999	12.1
	3.6500000000000004	1		14.081249999999999	10
	4.625	2.1		15.4375	16
	4.7124999999999995	8.8		15.231250000000001	21
	4.925	8.9		14.593750000000002	18.1
	4.41875	9.5		14.906249999999998	20.4
	4.13125	14		13.337500000000002	27.2
	3.3062500000000004	13.2		14.8375	30.8
	4.6812499999999995	12.3		14.931249999999999	23.7
	5.05	3		16.30625	8.1
Mayo	5.362499999999999	3.2		16.15625	16.8
	5.387499999999999	5.8		17.3	12
	6.05	4.2		17.16875	16.2
	6.418749999999999	5.9		17.14375	17.3
	6.3375	9.3		16.53125	23.1
	6.5249999999999995	8.5		17.8	15.1
	7.94375	10.2		19.937499999999996	17
	8.20625	6.4		20.38125	15.5
	8.3125	7.9		18.0875	26.7
	7.987500000000001	6.8		18.56875	15.2
	8.306249999999999	8.6		18.5125	19.6
	8.46875	7.7		18.168750000000003	18.6
	9.1875	6.6		20.337500000000002	17.1
	8.456249999999999	9		19.875	22.3
	7.8062499999999995	13.5		18.918749999999996	27.3
	8.493749999999999	13.2		19.43125	22.6
	9.606250000000001	9		18.6625	18.8
	9.69375	6.7		20.275000000000002	16.1
	9.237499999999999	4.9		19.374999999999996	15.8
	10.237499999999999	4.6		20.562499999999996	13
	10.6875	4.9		20.39375	15.7
	10.9125	7.2		21.04375	16.1
	11.49375	7.6		21.062500000000004	17.8
	10.575000000000003	8.2		20.66875	19.4
	10.225	6.7		20.51875	17.6
	11.46875	6.6		20.60625	15
	11.306249999999999	10.4		20.843749999999996	22.9
	12.06875	14.1		21.175	24.7
	13.25	15.4		22.23125	25.2
	12.65625	11.3		23.0125	21.8
	13.981249999999998	10		23.281250000000004	20.9
Jun.	13.6375	11.6		23.09375	20.2
	14.531250000000002	12.6		23.40625	25.2
	14.5625	16.3		23.906250000000004	32.4
	14.78125	13.4		24.51875	24.6
	14.793750000000001	4.2		24.66875	11.7
	15.631250000000001	4.1		25.0125	12.2
	16.76875	6.4		25.84375	12.4
	16.025000000000002	3.8		25.106250000000003	15.6
	15.525	6.6		24.5125	18.4
	15.762500000000001	10.7		25.187500000000004	22.8
	16.05	14.5		24.3125	22.5
	15.75625	13.8		24.631249999999998	26.1
	15.543750000000001	13.8		25.131250000000005	26
	16.24375	16		24.618749999999995	25.8
	15.756249999999998	16.5		24.743749999999995	27.1
	15.4625	18.1		23.68125	29.3
	15.737499999999999	17.5		25.050000000000004	29.9
	15.74375	20		24.9125	31.6
	16.200000000000003	16.3		25.231249999999996	23.9
	16.20625	15		25.274999999999995	24.5
	17.181250000000002	15.1		25.456250000000004	25.6
	16.50625	15.4		24.999999999999996	24.1
	16.168750000000003	16.6		24.325	26.4
	15.80625	17.7		24.525000000000002	26.5
	16.21875	16.3		25.21875	27.1
	16.33125	17.9		25.049999999999997	28.4
	16.4	12.7		24.95625	22
	16.48125	9.4		25.275	19.3
	15.925	12.6		25.175	27.8
	16.2875	14.2		24.89375	26
Jul.	16.568749999999998	15.6		24.825	29
	16.737499999999997	18		25.912500000000005	26.7
	16.60625	12.8		25.787499999999998	19.7
	16.006249999999998	14.5		24.831249999999997	28.9
	16.71875	15.6		25.106249999999996	24
	17.06875	15.4		24.54375	25.2
	17.29375	16.1		26.793750000000003	26.7
	16.575000000000003	15.9		25.6125	27.1
	16.418750000000003	17		25.493750000000002	27.9
	17.40625	21.3		26.7	32.3
	16.756249999999998	23.3		25.85	35.4
	16.53125	22.9		24.6125	34.7
	16.793750000000003	24.6		25.58125	31.2
	16.312499999999996	22.5		24.431249999999995	35.4
	16.175	22.9		24.475	33.7
	16.29375	17.4		25.90625	26
	16.76875	15.2		24.9125	28.6
	16.5875	18.4		25.6625	30.5
	16.843749999999996	16.7		25.062499999999996	26.7
	15.98125	16.7		24.412499999999998	27.5
	15.837499999999999	19.2		23.5	29.6
	15.268749999999999	19.5		23.556250000000002	30.1
	15.506250000000001	17.5		24.512500000000006	27.7
	15.843750000000002	15.6		24.693749999999998	26.3
	15.075000000000001	16.9		23.512500000000003	29.2
	15.2375	18.1		23.75625	27
	15.9	14.5		24.456249999999997	22.9
	15.137499999999998	12.3		23.006249999999998	24.7
	14.1		13.8	22.66875		25.2
	13.98125		16.2	21.88125		25.1
	14.243749999999999		14.8	22.41875		24.9
Ago.	14.749999999999998		11.3	22.5		23.1
	14.36875		13.8	23.6		27.1
	14.3375		13.7	22.887499999999996		19.6
	13.50625		13.1	22.112499999999997		25.3
	13.55		17.1	22.05		26.9
	12.731250000000001		12.5	21.043749999999996		20.9
	12.15625		12.5	20.556250000000002		21.1
	11.5375		12.3	19.83125		20.7
	12.6125		12.7	20.7875		21.2
	12.981249999999998		12.6	21.618750000000002		20.9
	12.487499999999999		12.3	20.48125		20.5
	12.518749999999999		12.8	21.218750000000007		21.6
	12.593749999999998		12.3	21.306250000000002		20.8
	11.9625		11.7	20.65		20.8
	11.737499999999999		12	20.675000000000004		20.5
	12.249999999999998		12.3	20.631249999999998		20.7
	12.943750000000001		11.8	21.425000000000004		20.7
	12.456250000000004		12.4	21.587500000000006		21.1
	11.831249999999999		11.8	20.349999999999998		20.5
	12.31875		12.5	20.54375		20.9
	11.118750000000002		10.6	19.33125		18.5
	10.475		10.2	18.7125		19
	9.66875		9.6	19.1875		18.9
	9.375000000000002		9.4	18.162499999999998		18.3
	9.525		9.4	18.099999999999998		17.9
	9.50625		9.2	18.700000000000003		18.4
	9.325000000000001		9.1	18.99375		18.4
	9.925		9.8	18.53125		18.7
	9.74375			18.787499999999998
	9.23125			18.5625
	7.9125			16.1875
Sep.	6.75			15.7625
	6.6625			15.656249999999998
	6.9625			15.7
	7.575000000000001			16.5125
	7.01875			16.3875
	6.39375			15.156250000000002
	6.3125			14.718750000000004
	5.825			14.906249999999998
	5.75625			15.412499999999998
	7.031250000000001			16.28125
	6.637500000000001			15.200000000000001
	5.8375			15.181249999999999
	4.48125			13.40625
	2.975			11.20625
	3.0812500000000003			11.85
	2.8187499999999996			11.58125
	2.375			11.706249999999999
	1.60625			10.53125
	1.49375			10.243750000000002
	1.6062499999999995			10.38125
	2.412499999999999			11.44375
	1.6874999999999998			10.6125
	0.8312499999999998			8.85625
	0.8750000000000002			9.1625
	0.04375000000000004			7.912499999999999
	-0.8875000000000001			7.6937500000000005
	-0.9875000000000002			7.325
	-0.8500000000000001			7.3062499999999995
	-1.6124999999999998			6.675
	-2.225			6.2562500000000005
Oct.	-2.4625			5.906249999999999
	-2.25625			6.425
	-2.03125			6.2875000000000005
	-2.66875			5.975
	-2.8062500000000004			5.9
	-2.5562499999999995			5.6875
	-3.2625			4.918749999999999
	-4.03125			4.018750000000001
	-3.9624999999999995			4.6000000000000005
	-2.9749999999999996			5.618750000000001
	-3.9249999999999994			4.337500000000001
	-3.8999999999999995			3.6125000000000003
	-4.6312500000000005			3.1812500000000004
	-4.0875			3.6562500000000004
	-3.76875			3.4374999999999996
	-4.1187499999999995			3.4125
	-4.53125			2.9562500000000003
	-4.29375			2.9937500000000004
	-4.75625			2.70625
	-5.60625			2.26875
	-5.5			1.69375
	-6.85625			0.4937500000000001
	-7.5687500000000005			-1.33125
	-8.0625			-0.46875
	-7.68125			-0.65625
	-7.837500000000001			-0.11875000000000001
	-7.3812500000000005			-0.18125000000000002
	-8.6875			-1.8750000000000004
	-9.662500000000001			-2.375
	-10.4125			-2.9937500000000004
	-10.9125			-3.6999999999999997
Nov.	-10.037500000000001			-3.4250000000000003
	-10.568750000000001			-3.15625
	-11.299999999999999			-4.187499999999999
	-11.21875			-4.5875
	-12.168749999999998			-5.6000000000000005
	-12.943750000000001			-5.70625
	-13.274999999999999			-6.23125
	-15.55625			-7.725000000000001
	-15.731249999999998			-8.6875
	-15.60625			-8.3875
	-16.24375			-8.35625
	-15.781250000000002			-7.631250000000001
	-16.78125			-8.799999999999999
	-16.91875			-9.406250000000002
	-17.225			-9.8875
	-16.93125			-9.731249999999998
	-16.46875			-8.89375
	-16.337499999999995			-9.01875
	-16.0125			-9.1625
	-16.14375			-8.61875
	-16.73125			-10.15625
	-17.325000000000003			-10.78125
	-16.7875			-9.68125
	-17.575			-10.012500000000001
	-18.46875			-11.406249999999998
	-18.2			-11.637500000000001
	-19.1			-12.40625
	-18.768749999999997			-12.3875
	-19.225			-13.15
	-19.706249999999997			-13.293750000000001
Dic.	-20.3125			-13.075000000000001
	-19.775			-12.856250000000001
	-18.774999999999995			-10.55625
	-19.14375			-11.956249999999999
	-18.875			-11.75
	-18.768749999999997			-11.8125
	-18.85			-11.549999999999999
	-20.237499999999997			-13.41875
	-20.799999999999997			-14.325
	-21.137500000000003			-14.0375
	-21.031250000000004			-13.9125
	-20.96875			-13.90625
	-20.762500000000003			-13.249999999999998
	-20.268749999999994			-12.893749999999999
	-20.76875			-13.993749999999999
	-21.181250000000002			-14.375
	-21.293333333333333			-13.62

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Resumen Anual 2026

35°C

Temp. Más Alta

25 Jul. 26

-32°C

Temp. Más Baja

19 Ene. 26

Desglose Estacional

Mes Más CalurosoJulio27.6°C

Mes Más FríoEnero-23.98°C

Mes Más LluviosoJulio1.87mm

Mes Más VentosoAbril34.6km/h

Bayantal 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 Bayantal?

Julio es históricamente el mes más caluroso de Bayantal, con temperaturas máximas promedio de alrededor de 25°C. Durante los picos de olas de calor, las temperaturas más altas registradas han alcanzado 36°C el 2010-07-24.

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

Enero es el mes más frío de Bayantal, con temperaturas mínimas promedio de alrededor de -22°C. El récord histórico más bajo de -34°C se registró el 2021-01-05.

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

La precipitación anual promedio de Bayantal es de aproximadamente 208.5mm, basado en registros de 17 años.

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

Bayantal registra históricamente aproximadamente 94.1 días de lluvia por año. Julio tiene el mayor número de días de lluvia con un promedio de 16.7 días.

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

La temperatura más alta jamás registrada en Bayantal es 36°C el 2010-07-24.

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

La temperatura más baja jamás registrada en Bayantal es -34°C el 2021-01-05.

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

Bayantal experimenta sus vientos más fuertes durante Mayo. El récord histórico de ráfaga de 58.7 kph se registró el 2026-08-01.

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

Normalmente, la humedad de Bayantal alcanza su punto máximo en Enero con alrededor de 77.9% y cae a su mínimo en Mayo con aproximadamente 33.01%.

Blogs recientes sobre el clima

Ver todos los blogs

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

Bayantal 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

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

Bayantal 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

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