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DailyLive-testedThird-party aggregation

Hazards / Modeled river discharge

Open-Meteo GloFAS river-discharge series near Tbilisi

Open-Meteo's Flood API exposes daily river-discharge forecasts and ensemble statistics derived from the European Commission's GloFAS model at a coordinate near Tbilisi. The tested query returned past and forecast daily discharge, mean, minimum, maximum, median and 25th/75th percentiles in cubic metres per second. It is model-grid output, not a gauge measurement or official flood warning; the very small tested values make reach selection and river-network alignment especially important.

01

Provenance and access

How the data is reached

Unauthenticated HTTPS JSON for open-access use. Point is snapped to a model cell and returned in GMT.

Reuse status

CC BY 4.0 attribution to Open-Meteo plus underlying Copernicus/GloFAS acknowledgement and Open-Meteo terms

Read license or terms ↗
02

Field-level detail

What is actually returned

livereferencederivedhistoricalunknown

Flood response metadata

Returned model-cell context.

4 fields
Field / pathTypeNull?ExampleMeaningFreshness
latitude / longitude / elevationnumbersNo41.725006 / 44.825012 / 590Selected model-grid coordinate and elevationreference
generationtime_msnumberNo1.6794Server computation timederived
utc_offset_seconds / timezone / timezone_abbreviationinteger / stringsNo0 / GMT / GMTTime contextreference
daily_unitsobjectNoall discharge variables: m³/sUnits dictionaryreference

Daily river-discharge arrays

All arrays align to daily.time.

5 fields
Field / pathTypeNull?ExampleMeaningFreshness
daily.timearray<date>No2026-07-17…2026-07-26Past and forecast date axisderived
daily.river_dischargearray<m³/s>No[0.05,0.03,0.02,0.16,0.20,0.02,…]Primary daily modeled dischargederived
daily.river_discharge_mean / medianarrays<m³/s>No0.21 / 0.20 for 2026-07-21Ensemble central tendencyderived
daily.river_discharge_min / maxarrays<m³/s>No0.19 / 0.36Ensemble rangederived
daily.river_discharge_p25 / p75arrays<m³/s>No0.20 / 0.2125th and 75th percentilesderived
03

Representative evidence

Sample records

Tbilisi-near grid discharge

Retrieved 2026-07-22 13:45 Asia/Tbilisi

JSON
{"latitude":41.725006,"longitude":44.825012,"daily_units":{"river_discharge":"m³/s"},"daily":{"time":["2026-07-21","2026-07-22","2026-07-23"],"river_discharge":[0.2,0.02,0.02],"river_discharge_mean":[0.21,0.02,0.01],"river_discharge_max":[0.36,0.03,0.03]}}
04

Boundaries

Reliability, caveats, and privacy

What held up

  • Endpoint returned complete past and forecast arrays
  • Ensemble percentiles expose uncertainty
  • Returned grid coordinate is explicit

What can go wrong

  • Not an official warning or gauge observation
  • Nearest model cell may map to a minor reach rather than the desired Mtkvari segment
  • Zero or tiny flow can indicate poor reach selection or grid limitations
  • Use river geometry and local gauge/warning context before interpretation
05

Cross-source possibilities

Ideas using this source