Future extreme precipitation intensities based on a historic event
<p>In a warmer climate, it is expected that precipitation intensities will increase, and form a considerable risk of high-impact precipitation extremes. This study applies three methods to transform a historic extreme precipitation event in the Netherlands to a similar event in a future war...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-07-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | https://www.hydrol-earth-syst-sci.net/22/3777/2018/hess-22-3777-2018.pdf |
Summary: | <p>In a warmer climate, it is expected that precipitation intensities will
increase, and form a considerable risk of high-impact precipitation
extremes. This study applies three methods to transform a historic extreme
precipitation event in the Netherlands to a similar event in a future warmer
climate, thus compiling a <q>future weather</q> scenario. The first method uses
an observation-based non-linear relation between the hourly-observed summer
precipitation and the antecedent dew-point temperature (the <i>P</i><sub><i>i</i></sub>–<i>T</i><sub><i>d</i></sub> relation).
The second method simulates the same event by using the convective-permitting
numerical weather model (NWP) model HARMONIE, for both present-day and future warmer conditions. The
third method is similar to the first method, but applies a simple linear
delta transformation to the historic data by using indicators from The Royal
Netherlands Meteorological Institute (KNMI)'14 climate scenarios. A
comparison of the three methods shows comparable intensity changes, ranging
from below the Clausius–Clapeyron (CC) scaling to a 3 times CC increase per
degree of warming. In the NWP model, the position of the events is somewhat
different; due to small wind and convection changes, the intensity changes
somewhat differ with time, but the total spatial area covered by heavy
precipitation does not change with the temperature increase. The <i>P</i><sub><i>i</i></sub>–<i>T</i><sub><i>d</i></sub> method
is simple and time efficient compared to numerical models. The outcome can
be used directly for hydrological and climatological studies and for impact
analysis, such as flood-risk assessments.</p> |
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ISSN: | 1027-5606 1607-7938 |