Changes in moisture and energy fluxes due to agricultural land use and irrigation in the Indian Monsoon Belt

Douglas, Ellen; Niyogi, Dev; Frolking, Steve; Yeluripati, Jagadeesh; Pielke, Roger A.; Niyogi, Nivedita; Vörösmarty, Charles J; Mohanty, U. C.

doi:10.1029/2006gl026550

Cited by 185 publications

(165 citation statements)

References 25 publications

(29 reference statements)

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“…These significant potential impacts of irrigation on temperature, clouds, precipitation, and related fluxes necessitate an appropriate representation of irrigation in coupled landatmosphere models. This need has been addressed via irrigation parameterizations in LSMs that largely fall into three types of schemes: (1) defined increases to soil moisture in one or more soil layers (Kueppers and Snyder, 2011;de Vrese et al, 2016), sometimes referred to as flood (Evans and Zaitchik, 2008); (2) the addition of water as pseudoprecipitation to mimic sprinkler systems (Ozdogan et al, 2010;Yilmaz et al, 2014); and (3) modifications to vapor fluxes as a proxy for increased evapotranspiration resulting from highly efficient (e.g., drip) irrigation (Douglas et al, 2006;Evans and Zaitchik, 2008). These schemes are generally dependent on parameter input datasets and user-defined thresholds, affording a degree of customization, but also introducing uncertainty and potential error.…”

Section: Irrigation Physicsmentioning

confidence: 99%

Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets

Lawston

Santanello

Franz

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Irrigation increases soil moisture, which in turn controls water and energy fluxes from the land surface to the planetary boundary layer and determines plant stress and productivity. Therefore, developing a realistic representation of irrigation is critical to understanding land-atmosphere interactions in agricultural areas. Irrigation parameterizations are becoming more common in land surface models and are growing in sophistication, but there is difficulty in assessing the realism of these schemes, due to limited observations (e.g., soil moisture, evapotranspiration) and scant reporting of irrigation timing and quantity. This study uses the Noah land surface model run at high resolution within NASA's Land Information System to assess the physics of a sprinkler irrigation simulation scheme and model sensitivity to choice of irrigation intensity and greenness fraction datasets over a small, high-resolution domain in Nebraska. Differences between experiments are small at the interannual scale but become more apparent at seasonal and daily timescales. In addition, this study uses point and gridded soil moisture observations from fixed and roving cosmic-ray neutron probes and co-located human-practice data to evaluate the realism of irrigation amounts and soil moisture impacts simulated by the model. Results show that field-scale heterogeneity resulting from the individual actions of farmers is not captured by the model and the amount of irrigation applied by the model exceeds that applied at the two irrigated fields. However, the seasonal timing of irrigation and soil moisture contrasts between irrigated and non-irrigated areas are simulated well by the model. Overall, the results underscore the necessity of both high-quality meteorological forcing data and proper representation of irrigation for accurate simulation of water and energy states and fluxes over cropland.

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Section: Irrigation Physicsmentioning

confidence: 99%

Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets

Lawston

Santanello

Franz

et al. 2017

Hydrol. Earth Syst. Sci.

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show abstract

“…Irrigation consumes most of the freshwater exploited by the global human population (Douglas et al, 2006). According to statistics obtained from the Food and Agriculture Organization (FAO) of the United Nations, about 2722 billion m 3 or 70 % of the total global anthropogenic water extraction was consumed by agricultural irrigation in 2007.…”

Section: Introductionmentioning

confidence: 99%

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

2017

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Abstract. Irrigation, which constitutes ∼ 70 % of the total amount of freshwater consumed by the human population, is significantly impacting land-atmosphere fluxes. In this study, using the improved Community Land Model version 4.5 (CLM4.5) with an active crop model, two high-resolution (∼ 1 km) simulations investigating the effects of irrigation on latent heat (LH), sensible heat (SH), and carbon fluxes (or net ecosystem exchange, NEE) from land to atmosphere in the Heihe River basin in northwestern China were conducted using a high-quality irrigation dataset compiled from 1981 to 2013. The model output and measurements from remote sensing demonstrated the capacity of the developed models to reproduce ecological and hydrological processes. The results revealed that the effects of irrigation on LH and SH are strongest during summer, with a LH increase of ∼ 100 W m −2 and a SH decrease of ∼ 60 W m −2 over intensely irrigated areas. However, the reactions are much weaker during spring and autumn when there is much less irrigation. When the irrigation rate is below 5 mm day −1 , the LH generally increases, whereas the SH decreases with growing irrigation rates. However, when the irrigation threshold is in excess of 5 mm day −1 , there is no accrued effect of irrigation on the LH and SH. Irrigation produces opposite effects to the NEE during spring and summer. During the spring, irrigation yields more discharged carbon from the land to the atmosphere, increasing the NEE value by 0.4-0.8 gC m −2 day −1 , while the summer irrigation favors crop fixing of carbon from atmospheric CO 2 , decreasing the NEE value by ∼ 0.8 gC m −2 day −1 . The repercussions of irrigation on land-atmosphere fluxes are not solely linked to the irrigation amount, and other parameters (especially the temperature) also control the effects of irrigation on LH, SH, and NEE.

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“…For example, in turn, irrigation significantly increases the regional moisture to the atmosphere, consequently increasing the regional precipitation [20]. On the other hand, irrigation plays a role in reducing the regional temperature and the daily temperature difference [21][22][23][24]. Thus, the irrigation area has rapidly increased in the past centuries.…”

Section: Introductionmentioning

confidence: 99%

Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective

et al. 2014

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This study focuses on the potential impacts of large-scale land use and land cover changes (LUCC) on surface temperature from a global perspective. As important types of LUCC, urbanization, deforestation, cultivated land reclamation, and grassland degradation have effects on the climate, the potential changes of the surface temperature caused by these four types of large-scale LUCC from 2010 to 2050 are downscaled, and this issue analyzed worldwide along with Representative Concentration Pathways (RCPs) of the Intergovernmental Panel on Climate Change (IPCC). The first case study presents some evidence of the effects of future urbanization on surface temperature in the Northeast megalopolis of the United States of America (USA). In order to understand the potential climatological variability caused by future forest deforestation and vulnerability, we chose Brazilian Amazon region as the second case study. The third selected region in India as a typical region of cultivated land reclamation where the possible climatic impacts are explored. In the fourth case study, we simulate the surface temperature changes caused by future grassland degradation in Mongolia. Results show that the temperature in built-up area OPEN ACCESSEnergies 2014, 7 2721 would increase obviously throughout the four land types. In addition, the effects of all four large-scale LUCC on monthly average temperature change would vary from month to month with obviously spatial heterogeneity.

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Changes in moisture and energy fluxes due to agricultural land use and irrigation in the Indian Monsoon Belt

Cited by 185 publications

References 25 publications

Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets

Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

Downscaling the Impacts of Large-Scale LUCC on Surface Temperature along with IPCC RCPs: A Global Perspective

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