NASA POWER
TerraTrend retrieves historical monthly Earth-system estimates from NASA POWER for the coordinates and period selected.
These are gridded data products, not measurements from a weather station at the exact selected point.
Explore long-term changes in Earth-system conditions using NASA POWER data, transparent statistical methods, and location-based analysis.
Choose a place and an Earth system indicator. We'll do the scientific detective work.
Your findings will appear here after retrieving and analyzing authentic NASA POWER data. Each conclusion includes its study period, trend, and statistical uncertainty.
No result is interpreted until the source data is retrieved. We never substitute fabricated numbers for NASA data.
Read source methodology ↗Compare two regions under the same indicator and time window. Do they tell the same story?
Awaiting NASA data
Awaiting NASA data
Both places are analyzed using the same variable, period and regression method.
Source requests: Location A data ↗ · Location B data ↗
Learn how the data are prepared, analyzed, and interpreted.
TerraTrend retrieves historical monthly Earth-system estimates from NASA POWER for the coordinates and period selected.
These are gridded data products, not measurements from a weather station at the exact selected point.
Choose a city from the list or click the world map. Latitude and longitude are simply the north/south and east/west numbers that identify that spot.
Temperature = how warm the air is. Precipitation = how much rain falls. Humidity = moisture in air. Wind speed = how fast air moves. Solar energy = sunlight energy reaching the surface.
Select the first and last calendar years, then click Analyze NASA data. Only complete years with all 12 monthly records are included.
The chart line connects values for successive years. The dashed trend line estimates the overall long-term direction. Hover over or focus a point to see its year and value. A zigzag does not always mean a long-term trend.
Trend per decade = estimated change in ten years. Estimated change = change along the fitted line across the period. Significance tests evidence that the linear slope differs from zero. Years analyzed counts usable complete years.
Under Compare, choose two cities and click Compare evidence. You will see two series for the same years and indicator. Their slopes may differ, but the tool does not statistically test the difference between the slopes.
CSV downloads annual values for further analysis; Copy findings copies the interpretation; Print / save PDF creates a printable report with the source and methods.
A positive slope indicates an estimated increase; a negative slope indicates an estimated decrease. The rate per decade describes the fitted change over ten years.
A p-value below 0.05 is commonly called statistically significant under the model assumptions. It is not proof of what caused the change and does not guarantee the trend will continue. The confidence interval shows the uncertainty in the estimated slope.
Nothing hidden. Understand exactly how each Terra Trend conclusion is made.
We query NASA POWER's monthly point API for historical Earth-system estimates at the selected coordinates. Each chart traces back to its source request.
We calculate day-weighted annual means for temperature and other rates, and annual totals for precipitation. Years missing a month are excluded.
Ordinary least squares estimates the annual slope. A two-sided t-test, p-value, and 95% confidence interval describe statistical evidence.
We report effect size, uncertainty, and caveats. Statistical significance is not causation, and a non-significant result does not prove stability.
NASA POWER is a gridded Earth science data product, not a thermometer physically installed at your exact selected point. Meteorological data combine measurements and models. Regional differences, missing months, and year-to-year dependence affect how conclusions should be read.
Original documentation and datasets, linked directly.