Version 1
: Received: 30 July 2024 / Approved: 31 July 2024 / Online: 31 July 2024 (14:16:05 CEST)
How to cite:
Papadopoulos-Zachos, A.; Anagnostopoulou, C. Improving Extreme Precipitation Reanalysis Data by Using the Observed Clausius-Clapeyron Relationships. Preprints2024, 2024072586. https://doi.org/10.20944/preprints202407.2586.v1
Papadopoulos-Zachos, A.; Anagnostopoulou, C. Improving Extreme Precipitation Reanalysis Data by Using the Observed Clausius-Clapeyron Relationships. Preprints 2024, 2024072586. https://doi.org/10.20944/preprints202407.2586.v1
Papadopoulos-Zachos, A.; Anagnostopoulou, C. Improving Extreme Precipitation Reanalysis Data by Using the Observed Clausius-Clapeyron Relationships. Preprints2024, 2024072586. https://doi.org/10.20944/preprints202407.2586.v1
APA Style
Papadopoulos-Zachos, A., & Anagnostopoulou, C. (2024). Improving Extreme Precipitation Reanalysis Data by Using the Observed Clausius-Clapeyron Relationships. Preprints. https://doi.org/10.20944/preprints202407.2586.v1
Chicago/Turabian Style
Papadopoulos-Zachos, A. and Christina Anagnostopoulou. 2024 "Improving Extreme Precipitation Reanalysis Data by Using the Observed Clausius-Clapeyron Relationships" Preprints. https://doi.org/10.20944/preprints202407.2586.v1
Abstract
Climate change is a crucial issue of the 21st century, leading to more frequent and severe extreme precipitation events globally. These events result in significant social and economic disruptions, including flooding, loss of life, and damage to infrastructure. Projections suggest that extreme rainfall will intensify in the latter half of the century, underscoring the need for accurate and timely forecasting. Despite advancements in meteorological and climate models that offer high accuracy for various weather parameters, these models still struggle to detect extreme values, particularly for precipitation. This research examines the sensitivity of extreme precipitation events to temperature, based on the Clausius-Clapeyron relationship, focusing on Thessaloniki, Greece. It also evaluates the effectiveness of reanalysis data in identifying extreme precipitation and explores how rainfall-temperature relationships can enhance prediction accuracy. The findings are vital for improving the estimation of extreme rainfall events and informing the design of flood-resilient infrastructure.
Keywords
clausius-clapeyron; extreme precipitation; increasing temperature; ERA5 land
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
