Earth System Trend Detective

Understanding Punjab through Earth’s changing reflectivity

An independent NASA Space Apps Challenge 2026 research project.

One landscape.
Many connected systems.

Earth System Trend Detective investigates how aerosol optical depth, UV aerosol absorption and surface albedo change across Punjab, Pakistan, using only supplied observations and clearly marking variables whose data are not loaded.

Built for the NASA Space Apps Challenge 2026 challenge, “Be an Earth System Trend Detective.” Independent research—not developed, operated, or endorsed by NASA.

Our research question

How have aerosol optical depth and surface albedo changed across Punjab, how do the loaded records relate, and what does the supplied UV Aerosol Index reveal about absorbing haze?

Methodology & sources

About this data

VariableSourcePeriodResolutionValid monthsLast updated
Surface albedoNASA Giovanni / MERRA-22005-01 to 2025-01Monthly area average; 0.5° × 0.625° source grid2412026-11-15
Aerosol optical depthNASA Giovanni / MODIS Aqua2005-01 to 2025-12Monthly area average; 1° × 1° product grid2522026-11-15
UV Aerosol IndexNASA Giovanni / Aura OMI OMAERUVd v0032005-01 to 2025-12Daily 1° source grid; cleaned monthly area averages2522026-11-15

OMI OMAERUVd UV aerosol index: 252 supplied cleaned monthly means, 2005–2025. UVAI trend statistics and confidence bounds are supplied findings, not recalculated. The OMI row anomaly and artifact-removal sensitivity limit whole-year trend claims.

How we cleaned the data

450 days were missing (NASA fill values). We removed 239 more days (3%) that were sensor artifacts: values up to 34, jumping on alternate days in a repeating pattern linked to OMI's known 'row anomaly'. We used a Hampel filter (more than 4 robust standard deviations from the 15-day median) plus a cap at 5. Every month keeps at least 18 valid days.

Cleaning sensitivityWhole-year p
None0.0003
Cap only0.050
Hampel 15-day (k=3)0.074
Hampel 31-day (k=3)0.119

The winter rise is significant under every method; the whole-year trend is not robust.

Sensitivity runs use k=3; the supplied primary clean series uses k=4. Findings are supplied statistics, not recalculated here.

Download daily raw & clean data
01 / GEOGRAPHY

A study extent, not a boundary

The working rectangle is 70°E–75.5°E, 28°N–34°N. It includes neighbouring areas. The actual MERRA-2 extraction is 69.375°E–75°E, 28°N–34°N.

02 / SOURCE AUDIT

The CSV is MERRA-2

The brief and research dossier discuss an earlier North American NLDAS sample. The currently attached CSV identifies M2TMNXRAD 5.12.4: global monthly MERRA-2 surface albedo, 0.5 × 0.625°.

03 / PERIOD

Respect incomplete years

Surface albedo: 2005-01-01–2025-01-01 (241 observations). Aerosol optical depth: 2005-01-01–2025-12-01 (252 observations). UV Aerosol Index: 2005-01-01–2025-12-01 (252 observations). 2025 albedo is partial.

From observations to interpretation

01Preserve source metadata and extraction extent
02Parse dates and numeric values; exclude fill values
03Remove duplicate dates and sort chronologically
04Filter the selected time window
05Aggregate monthly climatologies and labelled annual means
06Calculate deseasonalized OLS bands, seasonal Sen slopes, and seasonal Mann–Kendall
07Compare monthly seasonal Z-scores to the reference period
08Align paired series by month; warn on spatial mismatch
09Report limitations before interpreting possible processes
No per-pixel QA, cloud screening, official province mask, or zonal raster extraction is supplied. Seasonal Mann–Kendall tests account for calendar-month seasonality but not serial correlation. Approximate OLS confidence bands assume independent errors.

Source register

Original research files

The dossier audits a different NLDAS export; do not transfer its exclusion or findings onto the attached MERRA-2 series.