Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes

We investigate the potential impact of accounting for seasonal variations in the climatic forcing and using different methods to parameterize the soil water content at field capacity on the water balance components computed by a bucket model (BM). The single-layer BM of Guswa et al. (2002) is employ...

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Main Authors: N. Romano, M. Palladino, G. B. Chirico
Format: Article
Language:English
Published: Copernicus Publications 2011-12-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/15/3877/2011/hess-15-3877-2011.pdf
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spelling doaj-3f89b789278f4a8f8f37e63225f5323a2020-11-24T20:53:12ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382011-12-0115123877389310.5194/hess-15-3877-2011Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimesN. RomanoM. PalladinoG. B. ChiricoWe investigate the potential impact of accounting for seasonal variations in the climatic forcing and using different methods to parameterize the soil water content at field capacity on the water balance components computed by a bucket model (BM). The single-layer BM of Guswa et al. (2002) is employed, whereas the Richards equation (RE) based Soil Water Atmosphere Plant (SWAP) model is used as a benchmark model. The results are analyzed for two differently-textured soils and for some synthetic runs under real-like seasonal weather conditions, using stochastically-generated daily rainfall data for a period of 100 years. Since transient soil-moisture dynamics and climatic seasonality play a key role in certain zones of the World, such as in Mediterranean land areas, a specific feature of this study is to test the prediction capability of the bucket model under a condition where seasonal variations in rainfall are not in phase with the variations in plant transpiration. Reference is made to a hydrologic year in which we have a rainy period (starting 1 November and lasting 151 days) where vegetation is basically assumed in a dormant stage, followed by a drier and rainless period with a vegetation regrowth phase. Better agreement between BM and RE-SWAP intercomparison results are obtained when BM is parameterized by a field capacity value determined through the drainage method proposed by Romano and Santini (2002). Depending on the vegetation regrowth or dormant seasons, rainfall variability within a season results in transpiration regimes and soil moisture fluctuations with distinctive features. During the vegetation regrowth season, transpiration exerts a key control on soil water budget with respect to rainfall. During the dormant season of vegetation, the precipitation regime becomes an important climate forcing. Simulations also highlight the occurrence of bimodality in the probability distribution of soil moisture during the season when plants are dormant, reflecting that soil, it being of coarser or finer texture, can be preferentially in either wetter or drier states over this period.http://www.hydrol-earth-syst-sci.net/15/3877/2011/hess-15-3877-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author N. Romano
M. Palladino
G. B. Chirico
spellingShingle N. Romano
M. Palladino
G. B. Chirico
Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
Hydrology and Earth System Sciences
author_facet N. Romano
M. Palladino
G. B. Chirico
author_sort N. Romano
title Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
title_short Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
title_full Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
title_fullStr Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
title_full_unstemmed Parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
title_sort parameterization of a bucket model for soil-vegetation-atmosphere modeling under seasonal climatic regimes
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2011-12-01
description We investigate the potential impact of accounting for seasonal variations in the climatic forcing and using different methods to parameterize the soil water content at field capacity on the water balance components computed by a bucket model (BM). The single-layer BM of Guswa et al. (2002) is employed, whereas the Richards equation (RE) based Soil Water Atmosphere Plant (SWAP) model is used as a benchmark model. The results are analyzed for two differently-textured soils and for some synthetic runs under real-like seasonal weather conditions, using stochastically-generated daily rainfall data for a period of 100 years. Since transient soil-moisture dynamics and climatic seasonality play a key role in certain zones of the World, such as in Mediterranean land areas, a specific feature of this study is to test the prediction capability of the bucket model under a condition where seasonal variations in rainfall are not in phase with the variations in plant transpiration. Reference is made to a hydrologic year in which we have a rainy period (starting 1 November and lasting 151 days) where vegetation is basically assumed in a dormant stage, followed by a drier and rainless period with a vegetation regrowth phase. Better agreement between BM and RE-SWAP intercomparison results are obtained when BM is parameterized by a field capacity value determined through the drainage method proposed by Romano and Santini (2002). Depending on the vegetation regrowth or dormant seasons, rainfall variability within a season results in transpiration regimes and soil moisture fluctuations with distinctive features. During the vegetation regrowth season, transpiration exerts a key control on soil water budget with respect to rainfall. During the dormant season of vegetation, the precipitation regime becomes an important climate forcing. Simulations also highlight the occurrence of bimodality in the probability distribution of soil moisture during the season when plants are dormant, reflecting that soil, it being of coarser or finer texture, can be preferentially in either wetter or drier states over this period.
url http://www.hydrol-earth-syst-sci.net/15/3877/2011/hess-15-3877-2011.pdf
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