Lanzhou Historic Weather Records
Analyse hottest, coldest, windiest & wettest days

Lanzhou Weather Trend Graph

Temperature (°C)

Months

Months	Historic Min Temp.	Min Temp.	Forecasted Min Temp.	Historic Max Temp.	Max Temp.	Forecasted Max Temp.
	-6.937499999999999	-5.1		1.9125	-1.2
	-7.175	-4.5		1.825	-0.5
	-7.181250000000001	-4.3		2.1062500000000006	-1.7
	-6.9937499999999995	-6.3		1.9249999999999998	-1.7
	-7.2125	-6.7		1.73125	-2.6
	-7.481249999999999	-7.8		0.6249999999999999	-0.9
	-7.575000000000001	-8.8		0.5624999999999999	0.4
	-7.825	-7.5		0.7937500000000001	0.4
	-7.69375	-8		1.1187500000000001	0.6
	-7.425	-9.1		-0.3937499999999997	0.2
	-7.800000000000001	-7		1.875	2
	-7.4937499999999995	-6.4		2.5124999999999997	5.4
	-7.96875	-4.4		2.1499999999999995	5.4
	-7.6625	-5.2		1.1624999999999999	4.9
Jan.	-7.562499999999999	-4.1		1.3937499999999998	5.6
	-7.4875	-6.3		2.2125000000000004	4.6
	-7.7375	-4.4		2.4625	8.3
	-6.824999999999999	-5.3		2.9625	-1.8
	-6.89375	-7.3		1.76875	-4.8
	-7.387500000000001	-8.4		0.5124999999999998	-3.2
	-7.887500000000001	-6.2		1.2875	-0.7
	-8.768749999999999	-8		1.43125	2.4
	-8.299999999999999	-6.5		1.1812499999999995	4.5
	-8.23125	-3.7		0.71875	7.6
	-8.31875	-3.1		2.05	0.1
	-8.1375	-6.5		0.7687500000000002	4.4
	-8.175	-3.7		0.8875	2.5
	-8.675	-5		0.7625	4.4
	-8.15	-3.7		2.13125	0.4
	-8.318749999999998	-4		2.09375	-1.1
	-7.5562499999999995	-5.2		2.325	0.1
	-6.949999999999999	-4.5		3.2750000000000004	2
	-6.268750000000001	-7		3.05625	2.4
	-6.5875	-3.4		3.3625	3.2
	-5.943749999999998	-2		4.35	4.5
	-5.593750000000001	-2.9		4.4	5
	-5.6875	-4.9		3.4249999999999994	3.4
	-6.25	-7.4		3.5124999999999997	0.7
	-6.175	-8		2.9999999999999996	3
	-6.137500000000001	-5.4		3.75625	4.8
	-6.0125	-5		4.3999999999999995	3.8
	-5.0125	-5.2		5.05	7.4
	-5.212499999999999	-4.5		5.23125	5.6
	-5.199999999999999	-2.5		5.0687500000000005	12.5
	-5.6125	-1.8		2.931250000000001	7.8
Feb.	-5.43125	-3		4.60625	2.7
	-4.1875	-3.8		4.7250000000000005	4.1
	-4.4750000000000005	-6.2		4.76875	6.5
	-5.35	-2.6		3.2874999999999996	6.3
	-5.843749999999999	-3.6		5.5062500000000005	11
	-5.5625	-0.4		5.706250000000001	16.5
	-4.6625000000000005	-0.1		5.687499999999999	12.4
	-3.6687499999999997	-2.2		7.18125	10.1
	-3.1625	0.9		7.937499999999999	8.6
	-2.0374999999999996	-2.2		7.1625000000000005	14.8
	-2.225	-0.2		7.95	7.4
	-1.91875	-3		9.081249999999999	14.4
	-1.5187500000000003	-2.9		8.3	10.9
	-2.4	-1.3		6.362500000000002	9.1
	-2.6125	2.1		7.125	13
	-1.9250000000000003	-0.7		7.80625	11.1
	-1.7812500000000002	-1.1		9.462499999999999	15.3
	-0.7687499999999999	2.4		8.862499999999999	9.6
	-0.86875	-0.6		8.450000000000001	9.9
	-0.88125	-1.3		8.999999999999998	12.7
	-0.41874999999999996	4.6		10.656249999999998	13.1
	-0.41874999999999984	4.1		11.64375	9.7
	-0.16874999999999984	-0.5		10.65	13.7
	-0.12500000000000014	2.5		11.75	18
	-0.012499999999999973	3.3		11.55	20.2
	0.34375	1.9		13.25	10.6
	0.6624999999999999	-3		13.206249999999999	2.1
	0.03749999999999998	-3.5		12.05	1.7
Mar.	1.0312499999999998	-6.7		13.156249999999998	4.2
	1.7187499999999998	-1		13.899999999999997	10.5
	2.6187500000000004	1.2		12.38125	5.2
	1.5312500000000002	-0.2		14.6125	6.1
	1.94375	2		14.025	7.9
	1.35625	-0.6		13.374999999999998	11
	1.975	1.3		13.887500000000003	12.4
	2.80625	3.4		13.593750000000002	12.2
	2.09375	2.9		13.993749999999999	12
	2.71875	3.2		13.106250000000003	14.7
	2.1625	6.7		13.743749999999997	13.9
	2.23125	4.1		14.8125	16.4
	2.8437500000000004	4.7		15.106250000000001	11.5
	2.9312500000000004	2.6		16.3625	13.7
	3.95625	4.1		17.55625	11
	5.025	4.5		15.75	12.9
	4.7625	2.7		15.28125	14.3
	4.65625	4.7		17.7	18.2
	4.999999999999999	7		16.868750000000002	19.4
	4.64375	9.9		15.3125	16
	3.9125	7.5		15.843750000000002	18.3
	4.4125	6.9		16.012500000000003	18.9
	4.4875	6.6		15.662499999999998	19.9
	4.468750000000001	9.7		16.75	21
	5.1625	11.2		18.025	21.4
	5.4	9.4		17.90625	20.9
	6.168749999999999	11.7		17.2	21.4
	5.331249999999999	10.8		17.556250000000002	20.5
	4.481249999999999	12.9		17.1875	14.5
	5.0875	9.5		16.8125	18
	5.981250000000001	10		18.862499999999997	18.6
Apr.	7.081250000000001	10.4		19.69375	14.8
	7.187499999999999	8.2		21.175	16
	8.2875	7		21.56875	22.9
	7.831249999999999	9.7		21.225	27.3
	7.4125	8.4		19.412499999999998	10.9
	7.39375	6.5		18.36875	15.7
	7.00625	7.2		17.85	16.4
	7.6875	10.7		19.712500000000002	17.3
	8.249999999999998	8		20.187499999999996	21
	7.8062499999999995	9.6		19.324999999999996	22.3
	7.725	9.6		20.0875	25.9
	8.25	11.2		21.506250000000005	23.8
	8.48125	13.5		20.31875	17
	7.88125	12.1		22.456249999999997	18
	8.825	8.8		21.668749999999996	20.4
	8.83125	10.1		21.45	23.2
	9.093750000000002	9.3		21.48125	13.5
	9.131249999999998	9.1		23.381249999999998	14.9
	9.6375	5.5		21.968750000000004	19.5
	10.081249999999999	8.2		22.068749999999998	26.2
	9.94375	10.8		21.287499999999998	28.3
	10.006250000000001	14.4		23.51875	19
	10.793750000000001	11.1		22.587500000000002	18.8
	9.774999999999999	10.4		21.2875	22.1
	9.00625	11.6		20.825	25.5
	9.137500000000001	16.1		20.906249999999996	26.3
	9.175	13.5		23.20625	28.4
	9.1375	14.1		24.200000000000006	28.6
	10.59375	13.3		23.631249999999998	22.8
	10.525	11.3		22.137500000000003	18.3
May	10.962499999999999	8.9		22.637500000000003	11.5
	11.118749999999997	7.5		24.237499999999997	23.6
	11.612499999999999	13.5		24.999999999999996	21.7
	11.893749999999999	15		25.675	24.7
	12.38125	13.6		26.181250000000006	28.6
	12.55625	13.9		25.575000000000003	30.7
	11.868749999999999	13.4		23.7625	19
	11.462499999999999	11.1		23.287499999999998	25.8
	11.81875	18.1		24.775000000000002	28.2
	12.0375	12.8		24.293750000000003	18.9
	11.81875	10.6		23.21875	24.2
	11.293749999999998	14.2		23.025000000000002	20.4
	12.225	11.3		24.51875	16.4
	12.78125	11.6		25.025000000000002	21.8
	12.5625	12		25.0125	25.5
	13.0875	13.9		25.23125	29.1
	13.206249999999999	16.5		24.36875	20.7
	13.756250000000001	14.5		26.10625	26.8
	14.581249999999997	16.2		25.006250000000005	25.9
	13.33125	15.9		24.531249999999996	27.9
	13	13.8		25.300000000000004	29
	14.28125	15.1		27.531250000000004	29.5
	15.281250000000002	14.8		27.16875	20.1
	14.700000000000001	12		25.79375	22.3
	14.312500000000004	13.1		26.668750000000006	26
	14.487499999999997	15.1		24.556250000000002	25.4
	14.012500000000001	13		27.431250000000002	26.1
	15.39375	16.7		28.225	26.1
	15.43125	14.8		28.299999999999997	29.4
	16.14375	15.9		28.6875	30.8
	15.3625	17.8		28.5375	27.9
Jun.	15.1875	14		28.075	29.4
	15.7375	15.6		27.437499999999993	32.2
	15.79375	20.9		28.225	29.2
	15.999999999999998	18.7		27.80625	26.4
	16.1625	15.4		28.087500000000002	29.9
	16.3375	16		27.925	21.5
	15.81875	14.2		27.543750000000003	22.4
	15.900000000000002	10.1		28.0625	28.9
	16.475	18.6		28.9875	29.5
	16.518749999999997	15.5		28.224999999999994	27.8
	16.425	16.4		28.7125	21.4
	16.70625	13.4		28.45	28.9
	16.862500000000004	16.7		28.875000000000004	31.3
	16.962500000000002	19.3		28.68125	29.5
	16.5625	16.5		27.662499999999998	30.3
	16.575	16.7		29.006249999999998	31.1
	16.84375	18.9		28.881249999999998	28.9
	16.91875	18.9		27.831249999999997	29.1
	16.46875	15.4		28.056249999999995	31.6
	16.293750000000003	16.7		27.718750000000004	35.4
	16.19375	19.7		28.799999999999997	35.4
	17.10625	20		30.237500000000004	33.6
	17.35625	18.7		29.23125	33.8
	16.5875	19.7		27.56875	35.6
	16.6375	23.1		27.306250000000002	33.6
	16.575	17		29.293750000000003	24
	17.381249999999998	15.6		28.9375	18
	16.875	16.1		27.69375	27.4
	17.043750000000003	17.2		29.64375	29.4
	17.40625	16.9		28.85625	22.8
Jul.	17.043749999999996	18.2		28.474999999999998	23.6
	17.28125	16		30.56875	24.2
	17.918750000000003	14.9		30.10625	29.3
	18.175000000000004	16		29.818750000000005	27.9
	17.81875	15.7		29.593750000000004	31.3
	17.7375	15.9		30.481250000000003	31.8
	17.36875	17.1		29.61875	31.3
	17.31875	17.5		29.400000000000002	33.2
	17.625	18.5		29.243750000000002	34
	17.15625	20.4		28.525	34.9
	17.624999999999996	23.5		29.793750000000003	33.5
	17.875	20.9		30.381249999999998	32.1
	18.049999999999997	20.7		30.187500000000004	28
	17.9	20.2		30.793750000000003	31.7
	18.275	21.4		31.64375	31.8
	18.70625	20.2		32.606249999999996	24.2
	18.91875	16.9		31.468749999999996	22
	18.75625	18		31.16875	27.1
	19.10625	19.1		31.25625	24.8
	17.849999999999998	16.2		29.50625	29.7
	17.33125	17.9		28.881249999999998	30.8
	18.2625		17.5	30.025		31
	18.10625		19.2	29.693750000000005		30.1
	18.231249999999996		18.4	29.83125		30.6
	17.800000000000004		20.6	28.968749999999993		32.5
	17.462500000000002		22.2	29.449999999999996		33.6
	18.275		20.8	30.018749999999994		28.2
	18.3625		17.9	29.406249999999996		28.9
	18.3625		17.1	29.63125		29.1
	18.125		18	28.775000000000002		29.3
	17.412499999999998		17.2	29.518750000000004		28.9
Aug.	17.599999999999998		17.2	28.712500000000006		29.2
	17.424999999999997		17.5	28.412499999999998		28.5
	17.06875		16.9	27.681250000000002		27.5
	17.268749999999997		16.9	26.9375		26.6
	16.9375		16.6	28.11875		28.5
	16.099999999999998		16	26.593750000000004		26.4
	15.88125		15.9	25.512500000000006		25.5
	15.475000000000001		15.6	26.5375		26.3
	15.768749999999999		15.7	26.606250000000003		25.8
	15.225		15	26.024999999999995		26.6
	15.5		15.3	26.474999999999998		24.9
	15.0125		14.8	25.981249999999996		26.7
	14.96875		14.9	25.61875		25.8
	14.9625		14.7	25.399999999999995		25.3
	14.7125		14.1	26.968750000000004		26.2
	14.806250000000002		14.6	25.468750000000004		25.5
	15.512500000000003		15.7	26.318749999999998		26.3
	15.493749999999999		15.2	25.525000000000002		25.2
	14.85		14.7	24.6375		25.2
	14.643749999999999		14.6	24.981249999999996		25.3
	14.05625		13.7	25.11875		24.8
	13.456250000000002			23.99375
	13.793749999999998			24.5
	13.6875			23.625000000000004
	13.5			24.275
	13.150000000000002			24.349999999999994
	13.424999999999999			24.293750000000003
	13.568749999999998			25.106249999999996
	13.450000000000001			25.1125
	13.487499999999999			23.58125
	12.475000000000001			22.812499999999996
Sep.	12.86875			22.48125
	12.643749999999999			21.675
	12.575			21.35625
	12.187499999999998			20.8375
	12.31875			22.068749999999998
	11.64375			22.637499999999996
	11.575000000000003			21.28125
	11.225			21.0375
	11.462499999999999			21.43125
	11.60625			21.550000000000004
	11.924999999999999			21.681250000000002
	11.693750000000001			21.275000000000002
	11.38125			21.00625
	11.1125			21.506249999999998
	10.925			22.556250000000006
	10.79375			20.268749999999997
	9.625			20.662499999999998
	9.418750000000001			20.087500000000002
	9.6625			19.506249999999998
	8.8125			19.268749999999997
	8.306249999999999			18.275
	8.75625			18.725
	9.112499999999999			19.275000000000002
	7.887499999999998			17.9375
	7.356249999999999			16.431250000000002
	6.98125			16.337500000000002
	6.425			16.475
	7.08125			15.525
	7.199999999999999			16
	6.8625			16.3125
Oct.	6.7125			16.45
	6.35625			17.06875
	6.08125			15.975
	6.59375			17.05
	6.95625			16.375
	7.26875			16.768749999999997
	6.6312500000000005			16.562499999999996
	6.65625			15.406249999999998
	5.5875			16.16875
	5.39375			15.131249999999998
	5.4750000000000005			13.856250000000001
	5.0687500000000005			13.59375
	5.11875			14.2125
	4.562500000000001			13.481249999999998
	4.5375000000000005			13.887499999999998
	3.76875			13.799999999999999
	3.6062499999999997			13.174999999999999
	3.6187499999999995			13.837500000000002
	3.8312499999999994			13.556250000000002
	3.1125			13.45625
	2.8375			12.012499999999998
	2.1375			13.037499999999998
	1.4			10.956250000000002
	1.325			10.23125
	1.3812499999999999			11.68125
	1.3875000000000002			11.068750000000001
	1.4562499999999998			11.0125
	0.48749999999999993			9.25
	0.15625000000000003			9.51875
	-0.025000000000000105			10.4375
	0.21249999999999997			10.231250000000003
Nov.	-0.31875000000000003			9.7125
	0.03750000000000009			9.181249999999999
	-0.58125			8.68125
	-0.8187499999999999			9.1125
	-1.03125			9.10625
	-0.7125000000000001			8.64375
	-1.6937499999999999			7.799999999999999
	-2.34375			6.9437500000000005
	-3.0250000000000004			5.4
	-2.8749999999999996			7.000000000000001
	-2.51875			6.9125000000000005
	-2.8875			6.0625
	-2.80625			6.943750000000001
	-2.925			5.8875
	-4.143749999999999			4.425
	-4.293749999999999			4.04375
	-3.9062500000000004			5.256249999999999
	-3.75625			4.943750000000001
	-4.25			4.01875
	-4.2625			4.65625
	-4.20625			4.9937499999999995
	-4.093749999999999			4.324999999999999
	-4.06875			4.3187500000000005
	-4.6375			4.293749999999999
	-4.656249999999999			4.025
	-4.7437499999999995			2.8875
	-5.24375			2.5124999999999997
	-5.718750000000001			2.95625
	-5.800000000000001			2.1874999999999996
	-6.7125			1.0562499999999997
Dec.	-7.2625			0.2562500000000001
	-7.456249999999999			1.0499999999999998
	-7.118750000000001			1.9874999999999998
	-7.037499999999999			1.7937499999999997
	-6.4437500000000005			1.6687500000000002
	-6.275			1.5374999999999996
	-6.8187500000000005			2.1937499999999996
	-6.787499999999999			1.1624999999999999
	-6.8625			0.93125
	-7.44375			1.09375
	-7.531249999999999			0.6187499999999999
	-7.250000000000001			1.15
	-7.53125			1.35625
	-7.725000000000001			1.925
	-7.88125			0.18125000000000002
	-8.175			0.9312499999999998
	-8.139999999999999			1.6733333333333331

Max Temp.

Historic Max Temp.

Min Temp.

Historic Min Temp.

Yearly Summary 2026

36°C

Highest Temp

8 Jul. 26

-9°C

Lowest Temp

10 Jan. 26

Seasonal Breakdown

Hottest MonthJuly29.79°C

Coldest MonthJanuary-5.89°C

Wettest MonthJuly3.48mm

Windiest MonthApril25.11km/h

Lanzhou Climate Change InsightsSee how climate patterns are evolving over time. Temperature shifts, rainfall trends, and extreme events—all in one place.

Weather City Ranking GloballyExplore Real time of the world’s hottest & Coldest Cities based on current temperature data.

Frequently Asked Questions

1. What is the hottest month in Lanzhou historically?

July is historically Lanzhou's hottest month, with average maximum temperatures around 29°C. During peak heatwave events, the highest recorded temperatures have reached 39°C on 2010-07-28.

2. What is the coldest month in Lanzhou historically?

January is Lanzhou's coldest month, with average minimum temperatures around -7°C. The all-time record low of -21°C was recorded on 2012-01-22.

3. What is the average annual rainfall in Lanzhou over the past 17 years?

Lanzhou's average annual rainfall is approximately 344.4mm, based on records spanning 17 years.

4. How many rainy days does Lanzhou experience on average per year?

Lanzhou historically records approximately 117.6 rainy days per year. August has the highest number of rain days at an average of 15.4 days.

5. What is the all-time highest temperature ever recorded in Lanzhou?

The all-time highest temperature recorded in Lanzhou is 39°C on 2010-07-28.

6. What is the all-time lowest temperature ever recorded in Lanzhou?

The all-time lowest temperature recorded in Lanzhou is -21°C on 2012-01-22.

7. What is the windiest time of year in Lanzhou historically?

Lanzhou experiences its strongest winds during May. The historic gust record of 42.8 kph was recorded on 2026-06-03.

8. What is the highest and lowest humidity in Lanzhou during a year?

Usually, Lanzhou's humidity peaks in September at around 54.2% and drops to its lowest in April at approximately 36.09%.

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Lanzhou Historic Weather Records
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Lanzhou Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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

Lanzhou Historic Weather RecordsAnalyse hottest, coldest, windiest & wettest days

Lanzhou Weather Trend Graph

Yearly Summary 2026

Seasonal Breakdown

Frequently Asked Questions

Recent Blogs On Weather

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

Lanzhou Historic Weather Records
Analyse hottest, coldest, windiest & wettest days