Precipitation attribution distance

Skok, Gregor (author)

Precipitation is one of the most important meteorological parameters and is notoriously difficult to measure, predict, and also to verify. Distance measures are one of the five classes of spatial verification metrics that try to address the problems of traditionally used non-spatial methods (which only compare values at collocated grid points). Distance measures provide an estimate of spatial distance between the events in the two fields, which is relatively easy to interpret and understand. Our goal was to develop a new distance measure for precipitation that would not require thresholding and provide meaningful results that would not be too inconsistent with subjective forecast evaluation. At the same time, it would be computationally fast and numerically stable and could be used with fields provided on irregular grids. The new metric is called the Precipitation Attribution Distance or PAD and is based on a random nearest-neighbor attribution concept - it works by sequentially attributing randomly selected precipitation in one field to the closest precipitation in the other and is nondeterministic. We analyzed the new metric’s behavior in many idealized and real-world situations and compared it with the behavior of existing distance metrics.

• Language: English
• Keywords: meteorology, precipitation, verification, precipitation verification, spatial verification methods, distance metrics
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FMF - Faculty of Mathematics and Physics
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: 15 str.
• Numbering: Vol. 295, art. 106998
• PID: 20.500.12556/RUL-152830
• UDC: 551.577
• ISSN on article: 0169-8095
• DOI: 10.1016/j.atmosres.2023.106998
• COBISS.SI-ID: 164023811
• Publication date in RUL: 08.12.2023

Record is a part of a journal

• Title: Atmospheric research
• Shortened title: Atmos. res.
• Publisher: Elsevier
• ISSN: 0169-8095
• COBISS.SI-ID: 26715136

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: meteorologija, padavine, verifikacija

Projects

• Funder: ARRS - Slovenian Research Agency
• Project number: P1-0188
• Name: Astrofizika in fizika atmosfere