Question
Is there a better source than CDS for ERA5-Land hourly 1950-2025 over BC?
Why this data and resolution matter
ERA5-Land is the gold-standard reanalysis dataset for land-surface climate. What we need is unique because:
1. Hourly resolution at 9 km grid spacing, 1950-present
- No other public dataset combines that temporal depth (76 years) with that spatial fidelity over land
- Daily-only products lose the diurnal cycle — cannot compute true daily max/min, evapotranspiration, or fire weather indices without hourly data
- Most "long records" are station-based with huge spatial gaps; ERA5-Land fills them physically-consistently
2. Reanalysis, not interpolation
- ECMWF runs a frozen state-of-the-art weather model and assimilates billions of observations (stations, satellites, radiosondes, ships, aircraft) into a coherent global state every hour
- Where stations exist, it is anchored to them. Where they do not (most of BC's wilderness), it is still physically realistic
- Climate departure analysis needs a baseline that is gridded and complete — station data has gaps and biases that fake "trends" when stations open/close
3. Why tmax/tmin specifically
- Daily max/min is what ecosystems actually feel — fish thermal stress, vapor pressure deficit, snowmelt timing, fire weather, frost dates
- Mean temperature hides the extremes that drive ecological response
- Trend in tmin (overnight lows warming faster than daytime highs) is one of the clearest climate-change fingerprints — losing it would gut the analysis
4. Full-territory backfill enables the cd package to ship
- Consumer-side baseline/anomaly/trend computation requires the raw monthly time series on STAC
- Without 1950-2025 coverage, users cannot pick custom reference periods (e.g., 1961-1990 WMO baseline vs. 1981-2010)
- Once on S3 as COGs, anyone running
cd_extract() for any AOI in BC gets full historical departure analysis in seconds — no CDS account, no batch downloads
5. Grid resolution matters for our work
- 9 km is fine enough to resolve valley-bottom vs. ridgetop climate in places like the Bulkley, Skeena, Parsnip
- For fish habitat, riparian restoration planning, and species range work, anything coarser smears out exactly the gradients that matter
- Most "downscaled" products are interpolations of coarser data and add false confidence — ERA5-Land is the actual model output
Bottom line
76 years × 12 months × hourly × full BC bbox at 9 km = the substrate for every climate-context section in every report we will write for the next decade. Worth getting right.
Evaluation criteria (must-haves)
- ERA5-Land specifically (NOT ERA5) — 9 km native resolution. ERA5 parent is ~31 km and would be a downgrade.
- Hourly temporal resolution (so we can compute true daily max/min)
- Coverage: 1950-present
- Programmatic access (no manual download)
- Reasonable quota for one-time backfill (~700 files left as of 2026-04-11)
Candidates to evaluate
Findings
Appended as we research.
Relates to #33 (operational backfill saga via CDS)
Relates to NewGraphEnvironment/sred-2025-2026#23
Question
Is there a better source than CDS for ERA5-Land hourly 1950-2025 over BC?
Why this data and resolution matter
ERA5-Land is the gold-standard reanalysis dataset for land-surface climate. What we need is unique because:
1. Hourly resolution at 9 km grid spacing, 1950-present
2. Reanalysis, not interpolation
3. Why tmax/tmin specifically
4. Full-territory backfill enables the cd package to ship
cd_extract()for any AOI in BC gets full historical departure analysis in seconds — no CDS account, no batch downloads5. Grid resolution matters for our work
Bottom line
76 years × 12 months × hourly × full BC bbox at 9 km = the substrate for every climate-context section in every report we will write for the next decade. Worth getting right.
Evaluation criteria (must-haves)
Candidates to evaluate
Findings
Appended as we research.
Relates to #33 (operational backfill saga via CDS)
Relates to NewGraphEnvironment/sred-2025-2026#23