Dataset · Weather & climate
Monthly weather for 60 world cities, 2025
Temperature, precipitation, humidity, wind and solar radiation for 60 cities, month by month, from NASA POWER.
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XLSXCSVODSXMLNumbers| Monthly weather for 60 world cities, 2025 | |||||||||||
| Source: NASA POWER POWER Monthly and Annual API v2.10.0 · Retrieved 2026-10-08 · Licence: NASA open data, citation requested | |||||||||||
| City | Country | Latitude | Longitude | Month | Mean temperature at 2 m (°C) [T2M] | Highest hourly temperature in month (°C) [T2M_MAX] | Lowest hourly temperature in month (°C) [T2M_MIN] | Precipitation, daily average (mm/day) [PRECTOTCORR] | Precipitation, month total (mm) [PRECTOTCORR_SUM] | Relative humidity at 2 m (%) [RH2M] | Wind speed at 2 m (m/s) [WS2M] |
| Accra | Ghana | 5.56 | -0.20 | Jan 2025 | 27.75 | 31.71 | 25.10 | 1.34 | 41.64 | 81.14 | 2.44 |
| Accra | Ghana | 5.56 | -0.20 | Feb 2025 | 27.84 | 32.45 | 25.27 | 3.43 | 96.12 | 84.10 | 2.95 |
| Accra | Ghana | 5.56 | -0.20 | Mar 2025 | 28.03 | 31.00 | 26.24 | 4.87 | 150.84 | 84.52 | 3.22 |
| Accra | Ghana | 5.56 | -0.20 | Apr 2025 | 27.86 | 30.49 | 26.04 | 4.93 | 148.05 | 85.86 | 2.81 |
| Accra | Ghana | 5.56 | -0.20 | May 2025 | 27.50 | 29.87 | 25.22 | 7.13 | 220.89 | 85.63 | 2.54 |
| Accra | Ghana | 5.56 | -0.20 | Jun 2025 | 26.54 | 29.05 | 24.44 | 10.67 | 320.02 | 87.46 | 2.75 |
| Accra | Ghana | 5.56 | -0.20 | Jul 2025 | 24.38 | 27.43 | 22.06 | 0.98 | 30.36 | 89.10 | 3.10 |
| Accra | Ghana | 5.56 | -0.20 | Aug 2025 | 23.88 | 26.52 | 22.09 | 1.45 | 44.98 | 89.95 | 3.03 |
| Accra | Ghana | 5.56 | -0.20 | Sep 2025 | 25.18 | 28.27 | 22.39 | 4.29 | 128.75 | 87.83 | 2.97 |
| Accra | Ghana | 5.56 | -0.20 | Oct 2025 | 26.16 | 28.98 | 24.09 | 6.84 | 212.12 | 87.51 | 2.49 |
| Accra | Ghana | 5.56 | -0.20 | Nov 2025 | 26.92 | 29.74 | 25.00 | 4.85 | 145.61 | 85.83 | 2.18 |
| Accra | Ghana | 5.56 | -0.20 | Dec 2025 | 27.19 | 29.71 | 25.27 | 3.38 | 104.72 | 85.77 | 2.46 |
| Addis Ababa | Ethiopia | 9.02 | 38.75 | Jan 2025 | 15.21 | 26.03 | 4.00 | 0.01 | 0.35 | 53.27 | 2.17 |
Showing the first 16 of 723 rows and 12 of 13 columns. Cells with formulas show the formula on hover.
| Annual summary by city, 2025 (calculated from the Monthly tab) | |||||||||||
| Source: NASA POWER POWER Monthly and Annual API v2.10.0 · Retrieved 2026-10-08 · Licence: NASA open data, citation requested | |||||||||||
| City | Country | Mean temperature (°C) | Warmest month | Warmest month mean (°C) | Coldest month | Coldest month mean (°C) | Highest hourly temperature of the year (°C) | Lowest hourly temperature of the year (°C) | Total precipitation (mm) | Wettest month | Wettest month (mm) |
| Accra | Ghana | 26.6 | Mar | 28.0 | Aug | 23.9 | 32.5 | 22.1 | 1,644.1 | Jun | 320.0 |
| Addis Ababa | Ethiopia | 16.3 | Jun | 19.2 | Nov | 13.1 | 29.8 | 2.9 | 1,564.3 | Aug | 425.8 |
| Algiers | Algeria | 19.0 | Aug | 28.7 | Dec | 11.0 | 41.4 | 3.5 | 452.9 | May | 92.7 |
| Anchorage | United States | 2.6 | Jul | 13.7 | Dec | -12.8 | 21.0 | -22.6 | 962.8 | Sep | 157.1 |
| Antananarivo | Madagascar | 17.1 | Jan | 20.4 | Jul | 12.3 | 27.8 | 4.1 | 2,443.1 | Feb | 625.0 |
| Athens | Greece | 18.6 | Jul | 29.6 | Feb | 8.7 | 40.0 | 2.1 | 633.0 | Feb | 122.5 |
| Auckland | New Zealand | 16.4 | Feb | 20.9 | Aug | 11.3 | 26.7 | 5.4 | 1,560.6 | Jul | 242.0 |
| Baghdad | Iraq | 24.7 | Jul | 38.1 | Feb | 9.6 | 50.6 | -3.9 | 173.5 | Mar | 91.7 |
| Bangkok | Thailand | 27.8 | Mar | 30.5 | Nov | 24.4 | 40.5 | 12.3 | 1,602.4 | Sep | 365.4 |
| Beijing | China | 11.9 | Jul | 27.4 | Jan | -3.5 | 38.6 | -16.2 | 1,001.8 | Jul | 313.7 |
| Berlin | Germany | 10.4 | Jul | 20.2 | Feb | 0.5 | 37.9 | -10.2 | 556.6 | Jul | 141.0 |
| Bogotá | Colombia | 18.8 | Feb | 19.3 | Jul | 18.1 | 26.4 | 10.7 | 2,063.8 | Apr | 475.9 |
| Buenos Aires | Argentina | 18.7 | Feb | 26.0 | Jun | 11.0 | 35.1 | 3.5 | 1,020.4 | Mar | 170.0 |
Showing the first 16 of 65 rows and 12 of 16 columns. Cells with formulas show the formula on hover.
| The 60 cities: location and grid elevation | |||||||||
| Source: NASA POWER (grid elevation) and GeoNames (coordinates, city elevation) · Retrieved 2026-10-08 · Licence: NASA open data; GeoNames CC BY 4.0 | |||||||||
| City | Country | ISO2 | Continent | Role | Latitude | Longitude | POWER grid elevation (m) | City elevation (m, GeoNames DEM) | GeoNames ID |
| Accra | Ghana | GH | Africa | National capital | 5.56 | -0.20 | 27.8 | 33 | 2306104 |
| Addis Ababa | Ethiopia | ET | Africa | National capital | 9.02 | 38.75 | 2,349.7 | 2,405 | 344979 |
| Algiers | Algeria | DZ | Africa | National capital | 36.73 | 3.09 | 415.6 | 113 | 2507480 |
| Anchorage | United States | US | North America | Major city | 61.22 | -149.90 | 296.0 | 16 | 5879400 |
| Antananarivo | Madagascar | MG | Africa | National capital | -18.91 | 47.54 | 1,425.1 | 1,274 | 1070940 |
| Athens | Greece | GR | Europe | National capital | 37.98 | 23.73 | 140.0 | 84 | 264371 |
| Auckland | New Zealand | NZ | Oceania | Major city | -36.85 | 174.76 | 50.2 | 43 | 2193733 |
| Baghdad | Iraq | IQ | Asia | National capital | 33.34 | 44.40 | 38.4 | 41 | 98182 |
| Bangkok | Thailand | TH | Asia | National capital | 13.75 | 100.50 | 4.5 | 12 | 1609350 |
| Beijing | China | CN | Asia | National capital | 39.91 | 116.40 | 221.6 | 49 | 1816670 |
| Berlin | Germany | DE | Europe | National capital | 52.52 | 13.41 | 49.0 | 43 | 2950159 |
| Bogotá | Colombia | CO | South America | National capital | 4.61 | -74.08 | 1,790.4 | 2,582 | 3688689 |
| Buenos Aires | Argentina | AR | South America | National capital | -34.61 | -58.38 | 6.6 | 31 | 3435910 |
Showing the first 16 of 63 rows and 10 of 10 columns. Cells with formulas show the formula on hover.
| About this dataset | |
| Source: NASA POWER · Retrieved 2026-10-08 · Licence: NASA open data, citation requested | |
| What this workbook is | |
| Summary | Monthly weather for 60 cities in 59 countries on 6 continents, January to December 2025, from NASA's POWER project: temperature, hourly temperature extremes, precipitation, relative humidity, wind speed and solar irradiance. 720 monthly re… |
| Cities | National capitals plus well-known non-capital cities (for example Istanbul, New York, Mumbai, Lagos, Sydney, São Paulo), chosen to cover every inhabited continent and a range of climates: equatorial, desert, monsoon, Mediterranean, highlan… |
| What a value represents | |
| Grid cell, not a station | POWER does not report weather stations. Meteorological variables come from NASA's MERRA-2 reanalysis, a global model that assimilates satellite and surface observations, on a grid of 0.5 degrees latitude by 0.625 degrees longitude (about 5… |
| Grid elevation | Meteorological values are for 2 m above the average elevation of the grid box (POWER methodology). The elevation POWER returns for each point is shown on the Cities tab next to the city's own elevation from GeoNames, and can differ a lot:… |
| Time standard | The POWER response header lists the time standard as LST (local solar time). |
| Latest data | Meteorological data cover the whole of 2025. POWER appends near-real-time model output to MERRA-2 and states that MERRA-2 values are typically updated every several months, so recent months can be revised in later downloads. The response h… |
| Tabs | |
| Monthly | Long table, 720 rows: one row per city and month, sorted by city then month. Month is the first day of the month (displayed 'mmm yyyy'). |
| Annual summary | One row per city, all formulas: averages and sums via AVERAGEIF and SUMIFS, extremes via MAX and MIN over the city's 12-row block, month names via INDEX and MATCH. |
Showing the first 16 of 54 rows and 2 of 2 columns. Cells with formulas show the formula on hover.
About this dataset
This workbook holds monthly weather for 60 cities in 59 countries on 6 continents for 2025, taken from NASA's POWER project. For every city and month it lists mean temperature, the highest and lowest hourly temperature, precipitation (daily average and month total), relative humidity, wind speed at 2 m and solar irradiance in kWh per square meter per day.
The Monthly tab is a long table of 720 rows, ready to filter, pivot or chart. The Annual summary tab calculates, with formulas, each city's mean temperature, warmest and coldest month, total precipitation, wettest and driest month and annual averages of humidity, wind and sunshine. The Cities tab gives coordinates, country, continent and elevation.
POWER combines the MERRA-2 reanalysis (grid of 0.5 by 0.625 degrees) with satellite solar data, so each value describes a grid cell around the city and not a weather station. The About tab explains each variable, the unit conventions and the citation NASA asks for. Nothing is estimated or filled in.
What’s inside
- 60 cities in 59 countries on 6 continents, from equatorial to subarctic climates
- 720 monthly records for 2025, all complete, with 8 POWER variables
- Precipitation as both a daily average and a month total, as published by POWER
- Annual summary calculated with AVERAGEIF, SUMIFS, MAX, MIN, INDEX and MATCH
- Coordinates to 2 decimals plus POWER grid elevation and city elevation
- Citation text from NASA POWER included on the About tab
Tabs
| Tab | What it holds |
|---|---|
| Monthly | 720 rows: one row per city and month with temperature, precipitation, humidity, wind and solar irradiance. |
| Annual summary | One row per city with formula-based annual means, totals, warmest, coldest and wettest months. |
| Cities | City, country, ISO2, continent, coordinates, POWER grid elevation and city elevation. |
| About | Variable definitions, units, method, sources, license and the NASA POWER citation. |
How to use it
- Open the Monthly tab and filter by city, country or month with the header drop-downs.
- Select a city's 12 rows and insert a line or column chart to see its year.
- Read the Annual summary tab to compare cities by mean temperature, rainfall total or sunshine.
- Use the Cities tab for coordinates, ISO2 codes and elevation, and join on city or country name.
- Copy the credit line from the About tab when you publish results.
Columns and units
| Column | Unit | Meaning |
|---|---|---|
| City | text | City name; coordinates rounded to 2 decimals from GeoNames. |
| Latitude / Longitude | decimal degrees | Location used for the POWER request. |
| Month | date (first of month) | Month of 2025, displayed as mmm yyyy. |
| Mean temperature at 2 m | °C | T2M: average air temperature at 2 m over the month. |
| Highest hourly temperature | °C | T2M_MAX: maximum hourly air temperature at 2 m in the month. |
| Lowest hourly temperature | °C | T2M_MIN: minimum hourly air temperature at 2 m in the month. |
| Precipitation, daily average | mm/day | PRECTOTCORR: MERRA-2 bias-corrected precipitation, monthly average of daily values. |
| Precipitation, month total | mm per month | PRECTOTCORR_SUM: accumulated corrected precipitation for the month (POWER labels its unit mm/day). |
| Relative humidity at 2 m | % | RH2M. |
| Wind speed at 2 m | m/s | WS2M: average wind speed at 2 m above the surface. |
| Solar irradiance | kWh/m²/day | ALLSKY_SFC_SW_DWN: global horizontal irradiance under all sky conditions. |
| POWER grid elevation | m | Elevation returned by POWER for the point (Cities tab). |
Source and licence
NASA Langley Research Center, Prediction Of Worldwide Energy Resources (POWER), POWER Monthly and Annual API v2.10.0, licensed NASA open data policy (free and open sharing; citation requested by POWER). Retrieved 8 Oct 2026.
Cite as: The data was obtained from National Aeronautics and Space Administration (NASA) Langley Research Center's Prediction Of Worldwide Energy Resources (POWER) project funded through the NASA Earth Science Division. The data was obtained from the POWER Project's Monthly and Annual API 2.10.0 version on 2026/10/08 (https://power.larc.nasa.gov/).
Monthly point API, community RE, year 2025; meteorology from MERRA-2 (0.5 x 0.625 degree grid), solar radiation from CERES SYN1deg (1 degree). City coordinates, city elevations and IDs from GeoNames cities15000 (CC BY 4.0, https://www.geonames.org/). Values are unmodified; the 13th (annual) record of each response is excluded from the monthly table. POWER asks to be notified of publications and redistribution ([email protected]).
Good for
- Comparing climates of cities for travel or relocation planning
- Teaching material on seasons, monsoons and the Southern Hemisphere
- Solar and heating or cooling feasibility screening
- Charts and maps of temperature or rainfall by city
- Sample data for pivot tables and dashboards
Questions about this sheet
Are these weather station readings?
No. POWER values come from the MERRA-2 reanalysis on a grid of 0.5 by 0.625 degrees and from satellite solar data, so each number describes a grid cell around the city and can differ from a station, especially near coasts and mountains.
Why are the highest and lowest temperatures so extreme?
POWER's monthly maximum and minimum are the single highest and lowest hourly temperatures in the month, not averages of daily highs and lows. Use the mean temperature column for typical conditions.
What unit is precipitation in?
Two columns are provided: the daily average in mm per day and the month total in mm. POWER labels the total's unit as mm/day, but the values are monthly sums, which the About tab shows.
Why 2025 and why one year only?
2025 is the latest complete calendar year in POWER at the time of retrieval. It is a single year of weather, not a long-term climate average.
How should I credit the data?
NASA asks users to state that the data came from the POWER project, with the service version and date accessed. The ready-to-use wording is on the About tab.