Deciphering the relationship between vegetation and Indian summer monsoon rainfall
Land surface utilization in the Indian subcontinent has undergone dramatic transformations over the years, altering the region’s surface energy flux partitioning. The resulting changes in moisture availability and atmospheric stability can be critical in determining the season’s monsoon rainfall. Th...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/acc263 |
| _version_ | 1827869828719837184 |
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| author | Jerry B Samuel Arindam Chakraborty Anagha Paleri |
| author_facet | Jerry B Samuel Arindam Chakraborty Anagha Paleri |
| author_sort | Jerry B Samuel |
| collection | DOAJ |
| description | Land surface utilization in the Indian subcontinent has undergone dramatic transformations over the years, altering the region’s surface energy flux partitioning. The resulting changes in moisture availability and atmospheric stability can be critical in determining the season’s monsoon rainfall. This study uses fully coupled global climate model simulations with idealized land cover to elucidate the consequences of land surface alterations. We find that an increase in forest cover, in general, increases precipitation in India. However, precipitation is not a linear function of forest-covered-area due to the spatially heterogeneous nature of the impact. A fully forest-covered India receives less precipitation than when the forest covers only the eastern side of India, occupying just about half the area. This signifies the importance of the east-west gradient in vegetation cover observed over India. Using an energy balance model, we diagnose that the diverse nature of this precipitation response results from three different pathways: evaporation from the surface, the net energy input into the atmosphere, and moist stability. Evaporation exhibits a linear relationship with forest-covered-area and reveals minimal spatial heterogeneity. On the contrary, the influence through the other two pathways is found to be region specific. Rainfall modulation via changes in net energy input is dominant in the head Bay of Bengal region, which is susceptible to convective systems. Whereas impact through stability changes is particularly significant south of 20 ^∘ N. In addition, we find that moisture advection modulates the significance of these pathways over northwest India. Thus, the impact of land cover changes act via three effective mechanisms and are region dependent. The findings in this study have broader ramifications since the dominant region-specific mechanisms identified are expected to be valid for other forcings and are not just limited to the scenarios considered here. |
| first_indexed | 2024-03-12T15:49:36Z |
| format | Article |
| id | doaj.art-1fb61800160c4647a3d2e20e8a159467 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:49:36Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-1fb61800160c4647a3d2e20e8a1594672023-08-09T15:15:00ZengIOP PublishingEnvironmental Research Letters1748-93262023-01-0118404402310.1088/1748-9326/acc263Deciphering the relationship between vegetation and Indian summer monsoon rainfallJerry B Samuel0https://orcid.org/0000-0002-4419-9782Arindam Chakraborty1https://orcid.org/0000-0002-4288-0216Anagha Paleri2https://orcid.org/0000-0002-6844-8114Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science , Bengaluru, Karnataka 560012, India; Divecha Centre for Climate Change, Indian Institute of Science , Bengaluru, Karnataka 560012, IndiaCentre for Atmospheric and Oceanic Sciences, Indian Institute of Science , Bengaluru, Karnataka 560012, India; Divecha Centre for Climate Change, Indian Institute of Science , Bengaluru, Karnataka 560012, India; DST‐Centre of Excellence in Climate Change, Divecha Centre for Climate Change, Indian Institute of Science , Bengaluru, Karnataka 560012, IndiaClimate Connect Digital , Pune, IndiaLand surface utilization in the Indian subcontinent has undergone dramatic transformations over the years, altering the region’s surface energy flux partitioning. The resulting changes in moisture availability and atmospheric stability can be critical in determining the season’s monsoon rainfall. This study uses fully coupled global climate model simulations with idealized land cover to elucidate the consequences of land surface alterations. We find that an increase in forest cover, in general, increases precipitation in India. However, precipitation is not a linear function of forest-covered-area due to the spatially heterogeneous nature of the impact. A fully forest-covered India receives less precipitation than when the forest covers only the eastern side of India, occupying just about half the area. This signifies the importance of the east-west gradient in vegetation cover observed over India. Using an energy balance model, we diagnose that the diverse nature of this precipitation response results from three different pathways: evaporation from the surface, the net energy input into the atmosphere, and moist stability. Evaporation exhibits a linear relationship with forest-covered-area and reveals minimal spatial heterogeneity. On the contrary, the influence through the other two pathways is found to be region specific. Rainfall modulation via changes in net energy input is dominant in the head Bay of Bengal region, which is susceptible to convective systems. Whereas impact through stability changes is particularly significant south of 20 ^∘ N. In addition, we find that moisture advection modulates the significance of these pathways over northwest India. Thus, the impact of land cover changes act via three effective mechanisms and are region dependent. The findings in this study have broader ramifications since the dominant region-specific mechanisms identified are expected to be valid for other forcings and are not just limited to the scenarios considered here.https://doi.org/10.1088/1748-9326/acc263vegetationmonsoonstability |
| spellingShingle | Jerry B Samuel Arindam Chakraborty Anagha Paleri Deciphering the relationship between vegetation and Indian summer monsoon rainfall Environmental Research Letters vegetation monsoon stability |
| title | Deciphering the relationship between vegetation and Indian summer monsoon rainfall |
| title_full | Deciphering the relationship between vegetation and Indian summer monsoon rainfall |
| title_fullStr | Deciphering the relationship between vegetation and Indian summer monsoon rainfall |
| title_full_unstemmed | Deciphering the relationship between vegetation and Indian summer monsoon rainfall |
| title_short | Deciphering the relationship between vegetation and Indian summer monsoon rainfall |
| title_sort | deciphering the relationship between vegetation and indian summer monsoon rainfall |
| topic | vegetation monsoon stability |
| url | https://doi.org/10.1088/1748-9326/acc263 |
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