Research

A multi-sensor evidence framework

research
MeteoAndes scientific architecture: cryosphere, meteorology, black carbon and energy.

Audited core result Integration in progress

Integrating question

How are the elevation and dynamics of Peruvian tropical glaciers changing, and what roles may meteorology and light-absorbing particles play in that response?

High-mountain researchers next to glacial water during a field campaign
MeteoAndes archive · 2026 campaignsSite and authorship pending metadata validation
The architecture combines field, laboratory and satellite observations; each sensor retains its own physical quantity and uncertainty.

Evidence chain

AtmosphereTROPOMI · AL30 · AE33

Exposure and aerosols.

MeteorologyAWS · ERA5 · CHIRPS

Transport and confounders.

DepositionSP2 · ions · isotopes

Particles retained in snow and ice.

EnergyAlbedo · SW/LW · Rn

Absorption and potential melt.

ResponseICESat-2 · InSAR

Geometry change and motion.

Results matrix

Component Current result Evidence level
ICESat‑2 Vilcanota −1.463 m yr⁻¹; 95% CI: −2.357 to −0.596 Consolidated/audited
InSAR Vilcanota Suitable geometry; monthly signal near noise Advanced diagnostic
Hydrometeorology AOI/year panels; multi-year synthesis pending Advanced diagnostic
Albedo/energy Equations, QA/QC and forcing implemented Implemented, not closed
AL30/AE33 Preliminary eBC variability Preliminary
SP2/ions Preliminary profiles and multivariate analyses Preliminary laboratory evidence
Sentinel‑5P No validated final product Pending
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