
About this episode
Lily and David discuss the challenges of working with rainfall and climate data, exploring ideas of data quality, data rescue, and data accreditation. They reflect on different sources of climate data—from weather stations and satellites to reanalysis products—and examine how these can be evaluated for specific applications such as agriculture. The conversation also highlights ongoing research into rainfall intensity, satellite validation, and the importance of building evidence around which climate products are appropriate for different contexts and uses.
Get every episode summarized
Each time The IDEMS Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The IDEMS Podcast

293 – The Problem of Zeros in Data
The IDEMS Podcast
Sep 1, 202613:56pending

292 – Integrating STACK Assessment into Open Statistics Textbooks
The IDEMS Podcast
Aug 28, 202622:51pending

291 – Understanding Multilevel Data Through Context
The IDEMS Podcast
Aug 25, 202620:46pending

290 – Understanding Statistical Interactions Through Context
The IDEMS Podcast
Aug 21, 202616:08pending