Identification of vegetation responses to soil moisture, rainfall, and LULC over different meteorological subdivisions in India using remote sensing data

Bhimala, Kantha Rao; Rakesh, V.; Prasad, K.; Mohapatra, G. N.

doi:10.1007/s00704-020-03360-8

Cited by 14 publications

(2 citation statements)

References 68 publications

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“…Hence, there is a knowledge gap in quantitative assessment of actual evaporation and its components trends under changing climatic conditions and anthropogenic changes such as rise in irrigated cropland area (Ambika et al 2016(Ambika et al , 2019, surface water area (Zhan et al, 2019), and vegetation (Bhimala et al 2020) over different meteorological sub-divisions (India Meteorological Department; Kelkar & Sreejith, 2020) in India (Fig. 1) The novelty of the present study is that the actual evaporation data product (Global Land Evaporation Amsterdam Model) utilized in this study is a long-term (1980-2018), consistent, and the satellite observations (soil moisture and vegetation optical depth) data is used for estimation of evaporative stress in the model algorithms (Martens et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Annual and seasonal trends in actual evapotranspiration over different meteorological sub-divisions in India using satellite-based data

Bhimala

Patra

et al. 2023

Theor Appl Climatol

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The present study analyzed the actual evaporation (E a ) and its components [transpiration (E t ), bare soil evaporation (E b ), interception loss (E i ), and open water evaporation (E o )] data to study the long-term (1980-2018) trends over different meteorological sub-divisions in India. Quantitatively, all India annual E a is 573 mm (σ= 28.8 mm), where E t (µ=455.9 mm; σ= 30.4 mm) plays a major role compared to other evaporation processes like E b (µ=55.9 mm; σ= 8.6 mm), E i (µ=33.5mm; σ= 3.4 mm), and E o (µ=27.2 mm; σ=0.38 mm). The MK test reveals an increasing trend (1.33mm/y) in annual E a due to the rising trend in E t (1.91mm/y) and E i (0.16mm/y) even though there is no signi cant trend in rainfall or potential evaporation (E p ). The sub-division-wise analysis shows the increasing trend in E a observed over irrigated regions located in the south, north-west, and foothills of the Himalayas during pre-monsoon and monsoon season. The correlation analysis observed a complex relationship between E a and climatic factors (rainfall (RF), soil moisture (SM), surface temperature (T), relative humidity (RH), surface shortwave radiation (SSR), and wind speed (WS)) during monsoon season such that the water-limited areas have a positive correlation with SM, RH and RF, and negative correlation with WS, T, and SSR, whereas, in energylimited areas (east India), the Ea showed a positive correlation with SSR & T and negative correlation with RF. The main climatic drivers for the increasing trend of E a are SM & rainfall over dry regions and SSR &T over densely vegetated regions in India.

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Section: Introductionmentioning

confidence: 99%

Annual and seasonal trends in actual evapotranspiration over different meteorological sub-divisions in India using satellite-based data

Bhimala

Patra

et al. 2023

Theor Appl Climatol

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Section: Introductionmentioning

confidence: 99%

Annual and seasonal trends in Actual Evaporation over different meteorological sub-divisions in India using GLEAM data

Kanike¹,

Bhimala

Patra³

et al. 2022

Preprint

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The present study analyzed the actual evaporation (Ea) and its components [transpiration (Et), bare soil evaporation (Eb), interception loss (Ei), and open water evaporation (Eo)] data to study the long-term (1980-2018) trends over different meteorological sub-divisions in India. Quantitatively, all India annual Ea is 573 mm (σ= 28.8 mm), where Et (µ=455.9 mm; σ= 30.4 mm) plays a major role compared to other evaporation processes like Eb (µ=55.9 mm; σ= 8.6 mm), Ei (µ=33.5mm; σ= 3.4 mm), and Eo (µ=27.2 mm; σ=0.38 mm). The MK test reveals an increasing trend (1.33mm/y) in annual Ea due to the rising trend in Et (1.91mm/y) and Ei (0.16mm/y) even though there is no significant trend in rainfall or potential evaporation (Ep). The sub-division-wise analysis shows the increasing trend in Ea observed over irrigated regions located in the south, north-west, and foothills of the Himalayas during pre-monsoon and monsoon season. The correlation analysis observed a complex relationship between Ea and climatic factors (rainfall (RF), soil moisture (SM), surface temperature (T), relative humidity (RH), surface shortwave radiation (SSR), and wind speed (WS)) during monsoon season such that the water-limited areas have a positive correlation with SM, RH and RF, and negative correlation with WS, T, and SSR, whereas, in energy-limited areas (east India), the Ea showed a positive correlation with SSR & T and negative correlation with RF. The main climatic drivers for the increasing trend of Ea are SM & rainfall over dry regions and SSR &T over densely vegetated regions in India.

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Long-Term Temporal Analysis of Desertification

Badapalli,

Kottala,

Pujari

2023

Advances in Geographical and Environmental Sciences

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Identification of vegetation responses to soil moisture, rainfall, and LULC over different meteorological subdivisions in India using remote sensing data

Cited by 14 publications

References 68 publications

Annual and seasonal trends in actual evapotranspiration over different meteorological sub-divisions in India using satellite-based data

Annual and seasonal trends in actual evapotranspiration over different meteorological sub-divisions in India using satellite-based data

Annual and seasonal trends in Actual Evaporation over different meteorological sub-divisions in India using GLEAM data

Long-Term Temporal Analysis of Desertification

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