Full catalog/darnah-gpm-daily
darnah-gpm-daily·dataset

Storm Daniel: Daily Rainfall Over Libya (2023)

GPM IMERG data of 2023 Medicane Daniel
land NASA VEDA COG
In plain English

What it measures. Shows daily rainfall totals throughout the life of Storm Daniel (Medicane Daniel), the 2023 Mediterranean storm that triggered the deadly Derna flood.

How it's made. Made from NASA's GPM IMERG satellite rainfall product, which estimates precipitation worldwide from a network of satellites.

How & where you'd use it. Reveals how much rain fell and where, helping explain the flooding and supporting disaster response and study.

What's measured

darnahgpmdaily

Coverage & cadence

  • Time span2023-09-04 → 2023-09-16
  • Spatial extent-10.061, 14.912, 45.006, 48.509
  • FormatsCOG

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

GPM IMERG data taken daily and aggregated throughout the life of 2023 Medicane Daniel

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("darnah-gpm-daily")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).