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Probabilistic Forecasting of PM10 Concentrations using Transformation Tree Models and Comparison with Existing Point Forecasts

Probabilistic Forecasting of PM10 Concentrations using Transformation Tree Models and Comparison with Existing Point Forecasts

Source checked 18 Jul 2026, 22:41Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20245043889AuthorityUmweltbundesamtStatusOperationalOpen original profile ↗
Evidence-backed dossier

Probabilistic Forecasting of PM10 Concentrations using Transformation Tree Models and Comparison with Existing Point Forecasts

Probabilistic Forecasting of PM10 Concentrations using Transformation Tree Models and Comparison with Existing Point Forecasts

Operational
Open original profile ↗
Authority
Umweltbundesamt
Administrative level
Federal
Ministry
Bundesministerium für Umwelt, Klimaschutz, Naturschutz und nukleare Sicherheit
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Deep Learning · Statistische Modellierung
Application area
Energie und Umwelt
Governance matrix

Published, planned or open

The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.

Risk classificationMinimales Risiko
Fundamental-rights reviewNicht erforderlich
Data-protection statementNicht erforderlich
Contractor useIntern
Intervention optionsNicht erforderlich
Project linkNot published
Published context

Affected groups and risk measures

Affected groups
Breite Öffentlichkeit und breite Nutzung
Risk measures
Nicht erforderlich
Described harm risks
Nicht erforderlich
Timeline

Project and publication dates

  1. Project start
  2. First published
  3. Last published
MaKI identifierBD20245043889
Evidence basispublished authority profile
Source state17 Jul 2026, 12:33
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