Files
Climate-Mood-Analysis/docs/reviews/02-annual-avg-temperature.md
T
KnouandClaude Opus 5 867a07cecb Refine project documentation and track metric files
Close gaps found in a review of the documentation:
- Track data/metrics/ and data/metric_sources.json in git so the data
  checker passes on a fresh clone (finding 23; decision logged)
- State the Alaska and Hawaii coverage gap in the README limitations and
  extend finding 12
- File findings 24-26: the data-sources doc lacks gridMET and several
  pipeline commands; wettest/driest month are computed twice; solar GHI
  is written by the extreme-temperature apply step
- Add the stale "fallback values" note to filter 2's tasks

Tidy the document system:
- Add docs/reviews/README.md with the numbering rules and a finding index
- Rename koppen-mixed-display-plan.md to koppen-mixed-display.md and fix
  its stale Puerto Rico and "stage 5" text
- Add the precipitation-month step to the README enrichment list
- Describe the Current method / Previous method pattern in plan section 5
- Add CLAUDE.md with the project guardrails and doc layout

Format filter-calculations.md so it renders on GitHub and in VS Code:
inline math uses $...$, ranges use en dashes, and implementation
references name functions instead of line numbers.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-15 17:31:26 -04:00

85 lines
4.3 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# Filter 2: Annual avg temperature
**Status:** In progress: method decided (2026-09-15).
**Data key:** `avgTempF`. Calculation:
[filter-calculations.md](../filter-calculations.md) §2.
## Findings
**1. Annual temperature weights months equally.** February has the same weight
as January or July. If the intended label means an average across all days,
monthly normals should instead be weighted by the number of days in each
month. *Resolved on 2026-09-15: equal weighting is the WMO and NOAA standard
for annual normals and is kept; see "Annual avg temperature month weighting"
in [decisions.md](../decisions.md).*
Cross-filter findings that affect this filter, in
[00-cross-filter.md](00-cross-filter.md): 2 and 11 (county aggregation),
12 (Alaska and Hawaii not covered), and 15 (source text cites the station
Normals).
## Decisions
In [decisions.md](../decisions.md), all 2026-09-15: Annual avg temperature
month weighting, aggregation, completeness, and in Alaska and Hawaii.
## Tasks
Adopted definition: the equally weighted mean of the 12 monthly 1991–2020
normals of nClimGrid-Monthly `tavg`, area-weighted to each county; blank
unless all 12 months are present. The per-cell normals follow NCEI's own
gridded-normals method, "a simple 30-year average of monthly grids"
(Rennie and Palecki, *U.S. Monthly Gridded Precipitation and Temperature
Climate Normals*). Alaska and Hawaii stay blank; see
[decisions.md](../decisions.md).
- [x] Verify the calculation against the source data and the WMO and NOAA
normals definitions (2026-09-15).
- [x] Decide month weighting, aggregation, completeness, and Alaska/Hawaii
handling (2026-09-15; see [decisions.md](../decisions.md)).
- [x] Rewrite `filter-calculations.md` §2 with the adopted definition, citing
WMO-No. 1203 §4.3.3 and NOAA's 1991–2020 Normals methodology. State that
average temperature is (Tmax + Tmin)/2 and that the grid covers the
contiguous U.S. only (2026-09-15; the current touched-cell method is kept
as "Current method" until the new values are applied).
- [ ] Add a continuous-value area-weighted mean to
`scripts/common/county_zonal_stats.py`. It takes an array and transform,
because nClimGrid is read from netCDF rather than a rasterio file, and
reuses `cell_coverage_fractions`, the cos(latitude) scaling, and the
padded window. NaN cells are excluded.
- [ ] Build `scripts/build_county_avg_temp_metric.py`, writing
`data/metrics/avg_temp.csv` with `avgTempF` and a valid-month count. The
1991–2020 climatology step is NOAA-specific, so it stays with the NOAA
code rather than `common/`.
- [ ] Single-column apply step
`scripts/apply_avg_temp_metric_to_climate_data.py` with `--dry-run`.
Move `read_csv_rows` (4 identical copies in `apply_*` scripts) into
`common/` as part of this step.
- [ ] `check_climate_data.py`: keep the 20–85 °F rule and the Alaska/Hawaii
blank allowance until that open decision in
[decisions.md](../decisions.md) is made; confirm no new blanks in the
contiguous U.S.
- [ ] Tests (`tests/test_avg_temp_metric.py`): partial-cell weights,
cos(latitude), NaN exclusion, the 12-month rule, equal month weights,
Celsius-to-Fahrenheit conversion and rounding, and the apply step.
- [ ] Apply to `data/climate-data.csv`, run the checker, and compare: the
spread of changes, the largest shifts (expected in small, narrow, and
coastal counties), and no new blanks among the 3,109 contiguous-U.S.
counties.
- [ ] Mark finding 2 resolved for this metric in
[00-cross-filter.md](00-cross-filter.md).
- [ ] Correct the `avgTempF` source text in `app.js`, which cites the
station-based U.S. Climate Normals; describe it as 1991–2020 normals
computed from nClimGrid-Monthly and link nClimGrid. The "(Normals)"
label stays.
- [ ] Correct `scripts/county_data_sources.md`: Source 2 says the build reads
monthly normals files, but it reads the nClimGrid monthly series and
averages 1991–2020. Update the `avgTempF` definition line to match.
Also remove the "Run the generator" note that fallback values are
applied to counties outside NOAA coverage; they are left blank
(finding 12).
- [ ] Add the area-weighted `avgTempF` to the §7 guardrail on rerunning
`build_county_climate_data.py` in
[pipeline-plan.md](../pipeline-plan.md).