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Compare the Climate and Weather in Xiaba and Mumbai

This page lets you compare and contrast the weather and climate in Xiaba and Mumbai year round.

You can drill down to a specific season, month, and even day by clicking the graphs or using the navigation panel.

You can compare up to 6 locations. Add more locations using the search box below or by clicking the map.

Xiaba
China
Mumbai
India
Map

Average High and Low Temperature

Compare the Average High and Low Temperature in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec30°F30°F40°F40°F50°F50°F60°F60°F70°F70°F80°F80°F90°F90°F100°F100°F713692558266928533978910386NowNowMumbaiMumbaiXiabaXiaba
The daily average high and low air temperature at 2 meters above the ground. The thin dotted lines are the corresponding perceived temperatures.
HighJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 55°F58°F64°F73°F80°F86°F91°F90°F84°F76°F67°F59°F
Mumbai 86°F88°F90°F91°F91°F89°F86°F85°F87°F91°F91°F89°F
LowJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 36°F39°F45°F53°F61°F67°F71°F70°F65°F57°F48°F39°F
Mumbai 66°F68°F73°F78°F82°F81°F79°F79°F78°F77°F73°F68°F

Xiaba

Average Hourly Temperature in XiabaJanFebMarAprMayJunJulAugSepOctNovDec12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMNowNowvery coldvery coldcoldcoldcoolcomfortablewarmhotcoldvery cold

Mumbai

Average Hourly Temperature in MumbaiJanFebMarAprMayJunJulAugSepOctNovDec12 AM12 AM4 AM4 AM8 AM8 AM12 PM12 PM4 PM4 PM8 PM8 PM12 AM12 AMNowNowcomfortablewarmhothotcomfortablecomfortable
frigid 15°F freezing 32°F very cold 45°F cold 55°F cool 65°F comfortable 75°F warm 85°F hot 95°F sweltering
The average hourly temperature, color coded into bands. The shaded overlays indicate night and civil twilight.

Chance of Clearer Skies

Compare the Chance of Clearer Skies in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%71208516NowNowMumbaiMumbaiXiabaXiaba
The percentage of time the sky is clear, mostly clear, or partly cloudy (i.e., less than 60% of the sky is covered by clouds).
Clearer SkiesJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 62%55%49%39%32%22%25%30%46%66%67%70%
Mumbai 80%84%83%78%57%31%19%21%38%54%68%75%

Daily Chance of Precipitation

Compare the Daily Chance of Precipitation in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%501077NowNowMumbaiMumbaiXiabaXiaba
The percentage of days in which precipitation is observed, excluding trace quantities.
Days of Precip.JanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 4.8d7.5d11.8d12.9d14.5d13.3d10.0d11.9d8.7d4.1d4.1d3.5d
Mumbai 0.2d0.3d0.2d0.6d3.2d17.1d23.1d20.8d16.1d6.6d1.3d0.4d

Average Monthly Rainfall

Compare the Average Monthly Rainfall in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0 in0 in5 in5 in10 in10 in15 in15 in20 in20 in25 in25 in7.61.123.4NowNowMumbaiMumbaiXiabaXiaba
The average rainfall accumulated over the course of a sliding 31-day period centered on the day in question.
RainfallJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 1.5″2.7″4.5″5.6″7.0″7.3″5.0″6.1″4.8″1.7″1.7″1.2″
Mumbai 0.0″0.1″0.0″0.1″2.0″16.3″23.3″16.5″10.4″3.1″0.4″0.1″

Average Monthly Snowfall

Compare the Average Monthly Snowfall in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0.0 in0.0 in0.2 in0.2 in0.4 in0.4 in0.6 in0.6 in0.8 in0.8 in1.0 in1.0 in1.2 in1.2 in1.4 in1.4 in1.3NowNowMumbaiMumbaiXiabaXiaba
The average snowfall accumulated over the course of a sliding 31-day period centered on the day in question.
SnowfallJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 0.9″1.2″0.3″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.4″
Mumbai 0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″0.0″

Hours of Daylight

Compare the Hours of Daylight in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec4 hr4 hr6 hr6 hr8 hr8 hr10 hr10 hr12 hr12 hr14 hr14 hr16 hr16 hr18 hr18 hr20 hr20 hr13.810.5NowNowMumbaiMumbaiXiabaXiaba
The number of hours during which the Sun is at least partly above the horizon.
DaylightJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 10.7h11.3h12.0h12.8h13.4h13.7h13.6h13.0h12.3h11.5h10.9h10.6h
Mumbai 11.1h11.5h12.0h12.6h13.0h13.3h13.1h12.8h12.2h11.7h11.2h11.0h

Chance of Muggy Conditions

Compare the Chance of Muggy Conditions in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0%0%10%10%20%20%30%30%40%40%50%50%60%60%70%70%80%80%90%90%100%100%9712NowNowMumbaiMumbaiXiabaXiaba
The percentage of time that is muggy, oppressive, or miserable (i.e., a dew point greater than 65°F).
Muggy daysJanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 0.0d0.1d0.7d4.3d12.3d23.7d29.9d29.0d16.9d4.3d0.8d0.1d
Mumbai 3.9d6.1d17.3d26.3d30.4d29.9d31.0d31.0d29.9d26.0d15.2d6.9d

Average Wind Speed

Compare the Average Wind Speed in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0 mph0 mph2 mph2 mph4 mph4 mph6 mph6 mph8 mph8 mph10 mph10 mph12 mph12 mph14 mph14 mph16 mph16 mph4.03.414.56.7NowNowMumbaiMumbaiXiabaXiaba
The average of mean hourly wind speeds at 10 meters above the ground.
Wind Speed (mph)JanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 3.83.83.83.63.43.73.73.53.84.04.03.9
Mumbai 7.88.07.98.19.512.514.412.58.56.87.07.4

Average Water Temperature

Compare the Average Water Temperature in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec55°F55°F60°F60°F65°F65°F70°F70°F75°F75°F80°F80°F85°F85°F90°F90°F81578677NowNowMumbaiMumbaiXiabaXiaba
The daily average wide-area surface water temperature.
Water Temp.JanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 59°F58°F61°F66°F72°F78°F81°F81°F80°F75°F69°F63°F
Mumbai 78°F78°F80°F83°F85°F85°F83°F82°F83°F84°F82°F80°F

Tourism Score

Compare the Tourism Score in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec002244668810106.50.58.11.6NowNowMumbaiMumbaiXiabaXiaba
The tourism score, which favors clear, rainless days with perceived temperatures between 65°F and 80°F.

Beach/Pool Score

Compare the Beach/Pool Score in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec002244668810105.18.53.0NowNowMumbaiMumbaiXiabaXiaba
The beach/pool score, which favors clear, rainless days with perceived temperatures between 75°F and 90°F.

Growing Season

Compare the Growing Season in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0%0%20%20%40%40%60%60%80%80%100%100%NowNowMumbaiMumbaiXiabaXiaba
The percentage chance that a given day is within the growing season, defined as the longest continuous period of non-freezing temperatures (≥ 32°F) in the year (the calendar year in the Northern Hemisphere, or from July 1 until June 30 in the Southern Hemisphere).

Growing Degree Days

Compare the Growing Degree Days in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec2,000°F2,000°F4,000°F4,000°F6,000°F6,000°F8,000°F8,000°F10,000°F10,000°F12,000°F12,000°FNowNowMumbaiMumbaiXiabaXiaba
The average growing degree days accumulated over the course of the year, where growing degree days are defined as the integral of warmth above a base temperature (50°F in this case).

Average Daily Incident Shortwave Solar Energy

Compare the Average Daily Incident Shortwave Solar Energy in Xiaba and MumbaiJanFebMarAprMayJunJulAugSepOctNovDec0 kWh0 kWh1 kWh1 kWh2 kWh2 kWh3 kWh3 kWh4 kWh4 kWh5 kWh5 kWh6 kWh6 kWh7 kWh7 kWh6.03.57.14.8NowNowMumbaiMumbaiXiabaXiaba
The average daily shortwave solar energy reaching the ground per square meter.
Solar Energy (kWh)JanFebMarAprMayJunJulAugSepOctNovDec
Xiaba 3.53.94.45.05.25.45.85.55.34.83.93.5
Mumbai 5.46.26.97.16.75.34.95.25.35.45.15.0

This report illustrates the typical weather for Xiaba and Mumbai year round, based on a statistical analysis of historical hourly weather reports and model reconstructions from January 1, 1980 to December 31, 2016.

The details of the data sources used on this page vary between places and are discussed in detail on each place's dedicated page:

Disclaimer

The information on this site is provided as is, without any assurances as to its accuracy or suitability for any purpose. Weather data is prone to errors, outages, and other defects. We assume no responsibility for any decisions made on the basis of the content presented on this site.

We draw particular cautious attention to our reliance on the MERRA-2 model-based reconstructions for a number of important data series. While having the tremendous advantages of temporal and spatial completeness, these reconstructions: (1) are based on computer models that may have model-based errors, (2) are coarsely sampled on a 50 km grid and are therefore unable to reconstruct the local variations of many microclimates, and (3) have particular difficulty with the weather in some coastal areas, especially small islands.

We further caution that our travel scores are only as good as the data that underpin them, that weather conditions at any given location and time are unpredictable and variable, and that the definition of the scores reflects a particular set of preferences that may not agree with those of any particular reader.

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