Hash commitment to the first partial 2026 national crop-yield prediction batch under a versioned ERA5-Land input policy: CP9B46

This record documents a cryptographic commitment to the first partial 2026 national crop-yield prediction batch for maize, rice, soybeans and wheat. Only hashes and methodological disclosures are public; prediction values, agricultural targets and private paths are not released. The batch retains the complete system roster, named scenarios and unavailable entries. Predictions reuse models trained through 2024 under a fixed policy for consolidated ERA5-Land and authenticated preliminary ERA5-Land-T inputs. Local source-cutoff and seal times are distinguished from repository publication. These complete-season-weather estimates are not advance weather forecasts, and no universal blindness or future predictive skill is claimed. Subsequent batches and final-weather sensitivities must preserve the first-issued artifacts. Actual target evaluation requires separate authorization and committed source-matching and scoring rules. This record complements the original prediction commitment and the separately prepared T5 implementation commitment.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.23993982
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

Hash commitment to the first partial 2026 national crop-yield prediction batch under a versioned ERA5-Land input policy: CP9B46

Weiwei Zhang
4 links
Zenodo (CERN European Organization for Nuclear Research)
Climate change impacts on agriculture
article

Hash commitment to the first partial 2026 national crop-yield prediction batch under a versioned ERA5-Land input policy: CP9B46

Weiwei Zhang
article en

Abstract

This record documents a cryptographic commitment to the first partial 2026 national crop-yield prediction batch for maize, rice, soybeans and wheat. Only hashes and methodological disclosures are public; prediction values, agricultural targets and private paths are not released. The batch retains the complete system roster, named scenarios and unavailable entries. Predictions reuse models trained through 2024 under a fixed policy for consolidated ERA5-Land and authenticated preliminary ERA5-Land-T inputs. Local source-cutoff and seal times are distinguished from repository publication. These complete-season-weather estimates are not advance weather forecasts, and no universal blindness or future predictive skill is claimed. Subsequent batches and final-weather sensitivities must preserve the first-issued artifacts. Actual target evaluation requires separate authorization and committed source-matching and scoring rules. This record complements the original prediction commitment and the separately prepared T5 implementation commitment.

Zenodo (CERN European Organization for Nuclear Research)
University of Missouri (US)
Zero hunger
Openalex Percentile: Top 18%
Climate change impacts on agriculture
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Hash commitment to the first partial 2026 national crop-yield prediction batch under a versioned ERA5-Land input policy: CP9B46 — Weiwei Zhang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS