{
  "schemaVersion": 1,
  "publicationDate": "2026-08-25",
  "sourceRevisionDate": "2026-08-27",
  "title": "The Wrong Border",
  "subtitle": "Why Rhine-Neckar heat did not run between cities, but through them",
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      "date": "2026-06-19",
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      "date": "2026-06-20",
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      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-21",
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      "baselineMaxP90C": 32.77,
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      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-22",
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      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-23",
      "phase": "study_window",
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    {
      "date": "2026-06-24",
      "phase": "study_window",
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      "baselineMaxP90C": 30.35,
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      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-25",
      "phase": "study_window",
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      "meanC": 30.25,
      "maxC": 37.4,
      "minC": 20.4,
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      "baselineMaxP90C": 31.16,
      "qualityLevel": "1",
      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-26",
      "phase": "study_window",
      "stationCount": 4,
      "meanC": 31,
      "maxC": 39.6,
      "minC": 22.2,
      "stationsAt30C": 4,
      "baselineMaxC": 25.94,
      "baselineMaxP10C": 18.97,
      "baselineMaxP90C": 31.03,
      "qualityLevel": "1",
      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-27",
      "phase": "study_window",
      "stationCount": 4,
      "meanC": 31.8,
      "maxC": 40.2,
      "minC": 21.3,
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      "baselineMaxP10C": 20.4,
      "baselineMaxP90C": 31.35,
      "qualityLevel": "1",
      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-28",
      "phase": "study_window",
      "stationCount": 4,
      "meanC": 31.75,
      "maxC": 38.4,
      "minC": 23.6,
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      "baselineMaxC": 25.61,
      "baselineMaxP10C": 21.18,
      "baselineMaxP90C": 31.17,
      "qualityLevel": "1",
      "status": "provisional_dwd_recent_qn1"
    },
    {
      "date": "2026-06-29",
      "phase": "break_context",
      "stationCount": 4,
      "meanC": 25.25,
      "maxC": 29.45,
      "minC": 20.6,
      "stationsAt30C": 0,
      "baselineMaxC": 26.4,
      "baselineMaxP10C": 20.9,
      "baselineMaxP90C": 30.6,
      "qualityLevel": "1",
      "status": "provisional_dwd_recent_qn1"
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  ],
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    {
      "city": "Mannheim",
      "status": "measured",
      "headline": "5.6 °C contrast",
      "values": [
        {
          "label": "Open land, night minimum",
          "valueC": 21.4
        },
        {
          "label": "Inner city, night minimum",
          "valueC": 27
        }
      ],
      "caveat": "Official aggregation of roughly 130 stations; 25 June is absent from the open daily archive."
    },
    {
      "city": "Heidelberg",
      "status": "partial",
      "headline": "5.3 °C median station spread",
      "values": [
        {
          "label": "Median simultaneous spread",
          "valueC": 5.3
        },
        {
          "label": "Maximum simultaneous spread",
          "valueC": 9.4
        }
      ],
      "caveat": "The five anchors differ in elevation, mounting height, surface, and sensor type; the spread is not an adjusted neighbourhood effect."
    },
    {
      "city": "Ludwigshafen",
      "status": "absent",
      "headline": "No open neighbourhood event series for 2026",
      "values": [],
      "caveat": "The 2021 measurement campaign is historical context, not a substitute for the June 2026 event."
    }
  ],
  "componentProfiles": [
    {
      "city": "Mannheim",
      "component": "Exposure",
      "percentile": 85.15,
      "cells": 487
    },
    {
      "city": "Mannheim",
      "component": "65+",
      "percentile": 43.71,
      "cells": 487
    },
    {
      "city": "Mannheim",
      "component": "Green deficit",
      "percentile": 87.86,
      "cells": 487
    },
    {
      "city": "Heidelberg",
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      "percentile": 68.65,
      "cells": 57
    },
    {
      "city": "Heidelberg",
      "component": "65+",
      "percentile": 69.19,
      "cells": 57
    },
    {
      "city": "Heidelberg",
      "component": "Green deficit",
      "percentile": 78.31,
      "cells": 57
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    {
      "city": "Ludwigshafen",
      "component": "Exposure",
      "percentile": 84.34,
      "cells": 445
    },
    {
      "city": "Ludwigshafen",
      "component": "65+",
      "percentile": 52.59,
      "cells": 445
    },
    {
      "city": "Ludwigshafen",
      "component": "Green deficit",
      "percentile": 83.69,
      "cells": 445
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  "hotPopulation": [
    {
      "city": "Mannheim",
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      "populationHot": 34535,
      "populationHotPct": 12.69,
      "olderPopulationHotEstimate": 4839.0511,
      "olderPopulationHotPct": 9.73
    },
    {
      "city": "Heidelberg",
      "thresholdC": 41.84,
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      "populationHotPct": 0.35,
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      "olderPopulationHotPct": 0.31
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    {
      "city": "Ludwigshafen",
      "thresholdC": 41.84,
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      "olderPopulationHotPct": 13.31
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  "greenAccess": [
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      "city": "Mannheim",
      "distanceM": 300,
      "populationPct": 27.86
    },
    {
      "city": "Heidelberg",
      "distanceM": 300,
      "populationPct": 53.11
    },
    {
      "city": "Ludwigshafen",
      "distanceM": 300,
      "populationPct": 28.29
    },
    {
      "city": "Mannheim",
      "distanceM": 500,
      "populationPct": 45.26
    },
    {
      "city": "Heidelberg",
      "distanceM": 500,
      "populationPct": 73.64
    },
    {
      "city": "Ludwigshafen",
      "distanceM": 500,
      "populationPct": 52.71
    },
    {
      "city": "Mannheim",
      "distanceM": 1000,
      "populationPct": 83.15
    },
    {
      "city": "Heidelberg",
      "distanceM": 1000,
      "populationPct": 89.59
    },
    {
      "city": "Ludwigshafen",
      "distanceM": 1000,
      "populationPct": 83.95
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  "matchedPairs": [
    {
      "id": "0",
      "city": "Mannheim",
      "matchDistance": 0.0568,
      "greenGridId": "CRS3035RES100mN2937800E4209900",
      "greyGridId": "CRS3035RES100mN2937900E4210000",
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      "greyPopulation": 12,
      "greenNdbi": -0.0521,
      "greyNdbi": -0.0496
    },
    {
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      "meanDifferenceC": -0.514,
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  ],
  "matchBalance": [
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      "covariate": "ndbi_2026-06-25",
      "before": 2.3812,
      "after": 0.0574
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    {
      "covariate": "log_population",
      "before": 0.9089,
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      "juneLandsat": 1,
      "julyLandsat": 0.871,
      "age65Disclosure": 0.969,
      "localAirSeriesScore": 0.9
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      "city": "Heidelberg",
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    {
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  ],
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    "mean_difference_c": -0.5135557135848904,
    "median_difference_c": -0.590368009999942,
    "ci95_low_c": -0.758829281783002,
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    "share_green_cooler_pct": 68.86792452830188,
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    "calipers": {
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      "balance_target_abs_smd": 0.1,
      "balance_trimming_outcome_blind": true
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  },
  "methods": {
    "surface": "Land-surface temperature from Landsat Collection 2 Level 2, sampled as a 3-by-3 neighbourhood mean at populated Census grid-cell centroids. The primary scene is 25 June 2026 at 10:15 UTC.",
    "population": "Census 2022 at 100 m. Disclosure control and perturbed values make small-area totals and older-population counts grid values or estimates, not official municipal populations.",
    "variance": "Population-weighted decomposition of grid-cell variance into within-city and between-city components. The 95% interval comes from 250 spatial block-bootstrap draws.",
    "matching": "Within each city, 106 greener and greyer grid cells were paired under calipers for built signal, population, building count, and spatial distance. The result is an observational association.",
    "access": "Straight-line distance to observed cool Landsat cells meeting an NDVI threshold; neither walking time nor a verified register of accessible cooling places.",
    "caveat": "Landsat measures daytime land surface temperature, not nocturnal near-surface air temperature. Matched greenness estimates are observational associations, not causal effects."
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  "diagnostics": {
    "releaseInputs": 22,
    "coreCells": 8281,
    "validJuneCells": 8033,
    "validTwoSceneCells": 6978,
    "matchedPairs": 106,
    "bootstrapReplicates": 250,
    "sourcePackageSha256": "c76f955d25812a6935f7d4c18998dd5d55100bca90b9ef426b7eff4e8a74b222"
  }
}
