arXiv (OAI Expanded)
open access
Distribution-Free Changepoint Inference for Rainfall Patterns
Long records of rainfall contain critical information about the temporal organization of precipitation within a year, including wet and dry spells. Detecting when this temporal pattern changes is central to climate-impact assessment and environmental monitoring.A common data structure features obser
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multiscale Analysis of Precipitation Changes in a Tropical Environment with Humid and Semiarid Climates: A Study on Alagoas, Northeast Brazil#621166
- Defining dry/wet spells for point observations, observed area averages, and regional climate model gridboxes in Europe#1158572
- Increasing risk of 2022-like droughts in Europe under climate change: evidence from Large Ensembles using flow analogs#315003
- Drought asymmetrically amplifies the lagged and cumulative vegetation productivity responses to soil and atmospheric droughts, stronger for vapor pressure deficit#14729
- Drought asymmetrically amplifies the lagged and cumulative vegetation productivity responses to soil and atmospheric droughts, stronger for vapor pressure deficit#14728
Record · ID 1071370
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive