DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands
Simulating the spatio-temporal dynamics of inundation is key to understanding the role of wetlands under past and future climate change. Earlier modelling studies have mostly relied on fixed prescribed peatland maps and inundation time series of limited temporal coverage. Here, we describe a...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-12-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/7/3089/2014/gmd-7-3089-2014.pdf |
| _version_ | 1818112192972587008 |
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| author | B. D. Stocker R. Spahni F. Joos |
| author_facet | B. D. Stocker R. Spahni F. Joos |
| author_sort | B. D. Stocker |
| collection | DOAJ |
| description | Simulating the spatio-temporal dynamics of inundation is key to
understanding the role of wetlands under past and future climate
change. Earlier modelling studies have mostly relied on fixed
prescribed peatland maps and inundation time series of limited
temporal coverage. Here, we describe and assess the the Dynamical Peatland Model Based on
TOPMODEL (DYPTOP), which predicts the extent of inundation based on a computationally
efficient TOPMODEL implementation. This approach rests on an
empirical, grid-cell-specific relationship between the mean soil
water balance and the flooded area. DYPTOP combines the simulated
inundation extent and its temporal persistency with criteria for the
ecosystem water balance and the modelled peatland-specific soil
carbon balance to predict the global distribution of
peatlands. We apply DYPTOP in combination with the LPX-Bern
DGVM and benchmark the global-scale distribution, extent, and
seasonality of inundation against satellite data. DYPTOP
successfully predicts the spatial distribution and extent of
wetlands and major boreal and tropical peatland complexes and
reveals the governing limitations to peatland occurrence across the
globe. Peatlands covering large boreal lowlands are reproduced only
when accounting for a positive feedback induced by the enhanced mean
soil water holding capacity in peatland-dominated regions. DYPTOP is
designed to minimize input data requirements, optimizes
computational efficiency and allows for a modular adoption in Earth
system models. |
| first_indexed | 2024-12-11T03:15:02Z |
| format | Article |
| id | doaj.art-32280758e10f46d893eb68e23049fe4b |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-11T03:15:02Z |
| publishDate | 2014-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-32280758e10f46d893eb68e23049fe4b2022-12-22T01:22:47ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032014-12-01763089311010.5194/gmd-7-3089-2014DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlandsB. D. Stocker0R. Spahni1F. Joos2Climate and Environmental Physics, Physics Institute, University of Bern, Bern, SwitzerlandClimate and Environmental Physics, Physics Institute, University of Bern, Bern, SwitzerlandClimate and Environmental Physics, Physics Institute, University of Bern, Bern, SwitzerlandSimulating the spatio-temporal dynamics of inundation is key to understanding the role of wetlands under past and future climate change. Earlier modelling studies have mostly relied on fixed prescribed peatland maps and inundation time series of limited temporal coverage. Here, we describe and assess the the Dynamical Peatland Model Based on TOPMODEL (DYPTOP), which predicts the extent of inundation based on a computationally efficient TOPMODEL implementation. This approach rests on an empirical, grid-cell-specific relationship between the mean soil water balance and the flooded area. DYPTOP combines the simulated inundation extent and its temporal persistency with criteria for the ecosystem water balance and the modelled peatland-specific soil carbon balance to predict the global distribution of peatlands. We apply DYPTOP in combination with the LPX-Bern DGVM and benchmark the global-scale distribution, extent, and seasonality of inundation against satellite data. DYPTOP successfully predicts the spatial distribution and extent of wetlands and major boreal and tropical peatland complexes and reveals the governing limitations to peatland occurrence across the globe. Peatlands covering large boreal lowlands are reproduced only when accounting for a positive feedback induced by the enhanced mean soil water holding capacity in peatland-dominated regions. DYPTOP is designed to minimize input data requirements, optimizes computational efficiency and allows for a modular adoption in Earth system models.http://www.geosci-model-dev.net/7/3089/2014/gmd-7-3089-2014.pdf |
| spellingShingle | B. D. Stocker R. Spahni F. Joos DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands Geoscientific Model Development |
| title | DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands |
| title_full | DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands |
| title_fullStr | DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands |
| title_full_unstemmed | DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands |
| title_short | DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands |
| title_sort | dyptop a cost efficient topmodel implementation to simulate sub grid spatio temporal dynamics of global wetlands and peatlands |
| url | http://www.geosci-model-dev.net/7/3089/2014/gmd-7-3089-2014.pdf |
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