Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis
Deforestation can have both biophysical and biochemical effects. In our study we evaluate the impacts of extreme idealized land cover scenarios over Ganga basin, India using an online coupled weather-biosphere model. We present an analysis of the carbon stored, based on introduced afforestation (AFF...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | Environmental Research Communications |
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| Online Access: | https://doi.org/10.1088/2515-7620/acea1e |
| _version_ | 1811153931962679296 |
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| author | Vinayak Huggannavar J Indu |
| author_facet | Vinayak Huggannavar J Indu |
| author_sort | Vinayak Huggannavar |
| collection | DOAJ |
| description | Deforestation can have both biophysical and biochemical effects. In our study we evaluate the impacts of extreme idealized land cover scenarios over Ganga basin, India using an online coupled weather-biosphere model. We present an analysis of the carbon stored, based on introduced afforestation (AFF) and deforestation (DEF) in the Ganga basin of India. WRF-VPRM model simulations were carried out at horizontal resolution of 20 km using optimized downscaling configuration. For DEF case, we found two-fold increase in surface temperatures whereas, AFF scenario exhibited cooling effect. The average carbon sequestration capability for AFF was 0.3 g C m ^−2 day ^−1 more than control run (CTL). The CTL simulations exhibited carbon sequestration capability of −0.15 g C m ^−2 day ^−1 which for a year accounts for around 59.3 Mt C yr ^−1 . AFF scenario showed relative increase in net sequestration compared to DEF scenario. Most importantly, the model simulations showed that the croplandscan increase net carbon sequestration rather than just deciduous forest type. Our study highlights the possible effects of land use management practices on atmospheric CO _2 variability. |
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| format | Article |
| id | doaj.art-890dd3b46c044d8687b2e5a6464286f5 |
| institution | Directory Open Access Journal |
| issn | 2515-7620 |
| language | English |
| last_indexed | 2024-03-12T14:34:23Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
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| series | Environmental Research Communications |
| spelling | doaj.art-890dd3b46c044d8687b2e5a6464286f52023-08-17T11:03:16ZengIOP PublishingEnvironmental Research Communications2515-76202023-01-015808500610.1088/2515-7620/acea1eCoupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysisVinayak Huggannavar0J Indu1https://orcid.org/0000-0003-4276-6138Department of Civil Engineering, IIT Bombay, Powai, Mumbai—400076, IndiaDepartment of Civil Engineering, IIT Bombay, Powai, Mumbai—400076, India; IDP Climate Studies, IIT Bombay, Powai, Mumbai—400076, IndiaDeforestation can have both biophysical and biochemical effects. In our study we evaluate the impacts of extreme idealized land cover scenarios over Ganga basin, India using an online coupled weather-biosphere model. We present an analysis of the carbon stored, based on introduced afforestation (AFF) and deforestation (DEF) in the Ganga basin of India. WRF-VPRM model simulations were carried out at horizontal resolution of 20 km using optimized downscaling configuration. For DEF case, we found two-fold increase in surface temperatures whereas, AFF scenario exhibited cooling effect. The average carbon sequestration capability for AFF was 0.3 g C m ^−2 day ^−1 more than control run (CTL). The CTL simulations exhibited carbon sequestration capability of −0.15 g C m ^−2 day ^−1 which for a year accounts for around 59.3 Mt C yr ^−1 . AFF scenario showed relative increase in net sequestration compared to DEF scenario. Most importantly, the model simulations showed that the croplandscan increase net carbon sequestration rather than just deciduous forest type. Our study highlights the possible effects of land use management practices on atmospheric CO _2 variability.https://doi.org/10.1088/2515-7620/acea1eNEEWRFVPRM |
| spellingShingle | Vinayak Huggannavar J Indu Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis Environmental Research Communications NEE WRF VPRM |
| title | Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis |
| title_full | Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis |
| title_fullStr | Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis |
| title_full_unstemmed | Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis |
| title_short | Coupled weather-biosphere model (WRF-VPRM) response to extreme land cover scenarios over Ganga basin: a cross-component analysis |
| title_sort | coupled weather biosphere model wrf vprm response to extreme land cover scenarios over ganga basin a cross component analysis |
| topic | NEE WRF VPRM |
| url | https://doi.org/10.1088/2515-7620/acea1e |
| work_keys_str_mv | AT vinayakhuggannavar coupledweatherbiospheremodelwrfvprmresponsetoextremelandcoverscenariosovergangabasinacrosscomponentanalysis AT jindu coupledweatherbiospheremodelwrfvprmresponsetoextremelandcoverscenariosovergangabasinacrosscomponentanalysis |