e-ISSN: Pending
Negative / Null Result ReportOpen accessEarth and Planetary Sciences· cited by 32

Assimilation of pseudo-tree-ring-width observations into an atmospheric general circulation model

Walter Acevedo; Bijan Fallah; Sebastian Reich; Ulrich Cubasch · 2017 · Climate of the past

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

Abstract

Abstract. Paleoclimate data assimilation (DA) is a promising technique to systematically combine the information from climate model simulations and proxy records. Here, we investigate the assimilation of tree-ring-width (TRW) chronologies into an atmospheric global climate model using ensemble Kalman filter (EnKF) techniques and a process-based tree-growth forward model as an observation operator. Our results, within a perfect-model experiment setting, indicate that the "online DA" approach did not outperform the "off-line" one, despite its considerable additional implementation complexity. On

Abstract by Walter Acevedo; Bijan Fallah; Sebastian Reich; Ulrich Cubasch, Climate of the past (2017) — licensed CC BY 4.0.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.5194/cp-13-545-2017