Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Space-Time Characterization of Rainfall Field in Tuscany

Version 1 : Received: 28 October 2016 / Approved: 31 October 2016 / Online: 31 October 2016 (01:37:36 CET)

A peer-reviewed article of this Preprint also exists.

Mazza, A. Space–Time Characterization of Rainfall Field in Tuscany. Water 2017, 9, 86. Mazza, A. Space–Time Characterization of Rainfall Field in Tuscany. Water 2017, 9, 86.

Abstract

Precipitation during 2001-2016 over the northern and central part of Tuscany was studied in order to characterize the rainfall regime. The dataset consisted of hourly cumulative rainfall series recorded by a network of 801 rain gauges. The territory was divided into 30x30 km square areas, the annual, seasonal and daily Average Cumulative Rainfall (ACR) in all areas was estimated along with its uncertainty. The trend analysis of ACR time series was performed by means of the Mann-Kendall test. Four climatic zones were identified: the north-western was the rainiest, followed by the north-eastern, north-central and south-central. An overall increase in precipitation was identified, more intense in the north-west, and determined mostly by the increase in winter precipitation. On the entire territory, the ACR, number of rainy days, mean precipitation intensity and sum of daily ACR in four intensity groups were evaluated at annual and seasonal scale. The main result was a magnitude of the ACR trend evaluated as 35 mm/year, due mainly to an increase in light and extreme precipitations. This result is in contrast with the decreasing rainfall detected in the past decades.

Keywords

rainfall; rain gauge; kriging; trend detection

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.