e-ISSN: Pending
Negative / Null Result ReportOpen accessEnvironmental Science· cited by 9

Advanced time series modelling to address seasonal variability and extreme rainfall in Ghana

Senyefia Bosson-Amedenu; Emmanuel Mensah Baah; Francis Ayiah-Mensah; John Awuah Addor · 2025 · BMC Environmental Science

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 (excerpt)

Rainfall forecasting is essential for environmental planning, disaster preparedness, and resource management. Accurate predictions enable better water resource management, agricultural planning, and climate risk mitigation. However,…

Excerpt shown for reference under fair use — read the full paper at the publisher.

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 10.1186/s44329-025-00024-8