A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective PrecipitationSource: Journal of Hydrometeorology:;2018:;volume 020:;issue 001::page 23Author:Koukoula, Marika
,
Nikolopoulos, Efthymios I.
,
Kushta, Jonilda
,
Bartsotas, Nikolaos S.
,
Kallos, George
,
Anagnostou, Emmanouil N.
DOI: 10.1175/JHM-D-18-0134.1Publisher: American Meteorological Society
Abstract: Of the boundary conditions that affect the simulation of convective precipitation, soil moisture is one of the most important. In this study, we explore the impact of the soil moisture on convective precipitation, and factors affecting it, through an extensive numerical experiment based on four convective precipitation events that caused moderate to severe flooding in the Gard region of southern France. High-spatial-resolution (1 km) weather simulations were performed using the integrated atmospheric model Regional Atmospheric Modeling System/Integrated Community Limited Area Modeling System (RAMS/ICLAMS). The experimental framework included comparative analysis of five simulation scenarios for each event, in which we varied the magnitude and spatial distribution of the initial volumetric water content using realistic soil moisture fields with different spatial resolution. We used precipitation and surface soil moisture from radar and satellite sensors as references for the comparison of the sensitivity tests. Our results elucidate the complexity of the relationship between soil moisture and convective precipitation, showing that the control of soil water content on partitioning land surface heat fluxes has significant impacts on convective precipitation. Additionally, it is shown how different soil moisture conditions affect the modeled microphysical structure of the clouds, which translates into further changes in the magnitude and distribution of precipitation.
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contributor author | Koukoula, Marika | |
contributor author | Nikolopoulos, Efthymios I. | |
contributor author | Kushta, Jonilda | |
contributor author | Bartsotas, Nikolaos S. | |
contributor author | Kallos, George | |
contributor author | Anagnostou, Emmanouil N. | |
date accessioned | 2019-09-22T09:03:51Z | |
date available | 2019-09-22T09:03:51Z | |
date copyright | 11/29/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | JHM-D-18-0134.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4262660 | |
description abstract | Of the boundary conditions that affect the simulation of convective precipitation, soil moisture is one of the most important. In this study, we explore the impact of the soil moisture on convective precipitation, and factors affecting it, through an extensive numerical experiment based on four convective precipitation events that caused moderate to severe flooding in the Gard region of southern France. High-spatial-resolution (1 km) weather simulations were performed using the integrated atmospheric model Regional Atmospheric Modeling System/Integrated Community Limited Area Modeling System (RAMS/ICLAMS). The experimental framework included comparative analysis of five simulation scenarios for each event, in which we varied the magnitude and spatial distribution of the initial volumetric water content using realistic soil moisture fields with different spatial resolution. We used precipitation and surface soil moisture from radar and satellite sensors as references for the comparison of the sensitivity tests. Our results elucidate the complexity of the relationship between soil moisture and convective precipitation, showing that the control of soil water content on partitioning land surface heat fluxes has significant impacts on convective precipitation. Additionally, it is shown how different soil moisture conditions affect the modeled microphysical structure of the clouds, which translates into further changes in the magnitude and distribution of precipitation. | |
publisher | American Meteorological Society | |
title | A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation | |
type | Journal Paper | |
journal volume | 20 | |
journal issue | 1 | |
journal title | Journal of Hydrometeorology | |
identifier doi | 10.1175/JHM-D-18-0134.1 | |
journal fristpage | 23 | |
journal lastpage | 44 | |
tree | Journal of Hydrometeorology:;2018:;volume 020:;issue 001 | |
contenttype | Fulltext |