Evaluation of three new surface irrigation parameterizations in the WRF-ARW v3.8.1 model: the Po Valley (Italy) case study

Valmassoi, Arianna; Dudhia, Jimy; Sabatino, Silvana Di; Pilla, Francesco

doi:10.5194/gmd-13-3179-2020

Cited by 21 publications

(37 citation statements)

References 55 publications

(112 reference statements)

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“…Irrigation schemes have already existed in the official WRF model version 4.2 and above (Valmassoi et al, 2020a). We adopted the official irrigation schemes to carry out the relevant experiments and found that the schemes had some shortcomings.…”

Section: Irrigation Schemementioning

confidence: 99%

Regional Climate Effects of Irrigation Over Central Asia Using Weather Research and Forecasting Model

2022

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has special geomorphology features of mountains and basins, where the primary water resources (snow, glaciers, etc.) are distributed in the mountainous areas, which are called as the "water tower of Central Asia" (Sorg et al., 2012). Rivers like Syr Darya and Amu Darya, which are formed by the melting water of mountains snow-glaciers, flow into low-altitude areas and provide important water sources for the croplands widely distributed in arid regions of Central Asia. The precipitation in Central Asia is mainly concentrated in mountainous areas and is scarce in the low-lying deserts and oases (Bohner, 2006). Therefore, the croplands of Central Asia must be irrigated to meet the normal growth of crops. Irrigation not only increases the water vapor content in boundary layer, but also affects the partitioning of surface energy, which produces important impacts on local and regional climate (

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Section: Irrigation Schemementioning

confidence: 99%

Regional Climate Effects of Irrigation Over Central Asia Using Weather Research and Forecasting Model

2022

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“…We implemented drip and channel irrigation schemes in WRF model based on the method described in Valmassoi et al (2020) for the 2000-2018 period. As irrigation method definition differs based on the specific area of implementation, we used the efficiency component, that is, water loss occurred during the application of irrigation.…”

Section: Regional Climate Model Simulationsmentioning

confidence: 99%

“…The drip irrigation scheme here accounts for evaporation only from the soil, which is applied in the chosen LSM. The irrigation water is supplied in the surface rain variable, limiting the direct modulation in the atmospheric and vegetation parameterizations (Lawston et al, 2015;Valmassoi et al, 2020).…”

Section: Regional Climate Model Simulationsmentioning

confidence: 99%

“…The daily irrigation water requirement from GRW is applied at a constant rate in both irrigation methods keeping all other parameters same in both simulations. Further details on irrigation schemes can be obtained from the previous studies (Evans & Zaitchik, 2008;Lawston et al, 2015;Valmassoi et al, 2020).…”

Section: Regional Climate Model Simulationsmentioning

confidence: 99%

“…Land atmospheric feedback on moist heat was examined using the WRF model. Irrigation was implemented in the WRF model, as explained in Valmassoi et al (2020), which uses a constant irrigation water demand.…”

Section: Regional Climate Model Simulationsmentioning

confidence: 99%

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Improved Water Savings and Reduction in Moist Heat Stress Caused by Efficient Irrigation

Ambika

Mishra

2022

Earth's Future

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Intensive agriculture and irrigation play a crucial role in the food security of India. However, irrigation has considerably impacted regional climate and groundwater sustainability. Notwithstanding the profound implications of irrigation on dry and moist heat and groundwater depletion, the role of efficient irrigation on moist heat stress reduction and water savings remains unexplored. Here, we use observations and simulations from the Weather Research Forecasting (WRF) model to examine the impact of efficient (drip) irrigation on moist heat stress and water savings over the Indo‐Gangetic Plain. Irrigated area has increased more than 20% over the Indo‐Gangetic Plain during the 1970–2005 period. As a result, irrigation water use has increased dramatically over the region. The irrigation expansion partly contributed to the rise of 0.46°C (P‐value < 0.05) in the summer (April–May) season wet‐bulb temperature over the Indo‐Gangetic Plain, which is a measure of moist heat stress. The Indo‐Gangetic plain exhibited a strong land‐atmospheric coupling between soil moisture and dry and moist heat. WRF simulations conducted using ERA5 as boundary conditions show that switching from the conventional (channel) to the efficient (drip) irrigation leads to a moderate warming (∼0.2°C) and a significant decrease in specific humidity over the Indo‐Gangetic Plain. The reduction in specific humidity due to efficient irrigation significantly lowers the moist heat stress (wet‐bulb temperature) and increases water savings. Our findings show the double benefits of efficient irrigation to curb the rapidly declining groundwater and increase moist heat stress in the region.

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Diurnal cycle of surface energy fluxes in high mountain terrain: High‐resolution fully coupled atmosphere‐hydrology modelling and impact of lateral flow

Zhang

Arnault

Laux

et al. 2021

Hydrological Processes

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Water and energy fluxes are inextricably interlinked within the interface of the land surface and the atmosphere. In the regional earth system models, the lower boundary parameterization of land surface neglects lateral hydrological processes, which may inadequately depict the surface water and energy fluxes variations, thus affecting the simulated atmospheric system through land‐atmosphere feedbacks. Therefore, the main objective of this study is to evaluate the hydrologically enhanced regional climate modelling in order to represent the diurnal cycle of surface energy fluxes in high spatial and temporal resolution. In this study, the Weather Research and Forecasting model (WRF) and coupled WRF Hydrological modelling system (WRF‐Hydro) are applied in a high alpine catchment in Northeastern Tibetan Plateau, the headwater area of the Heihe River. By evaluating and intercomparing model results by both models, the role of lateral flow processes on the surface energy fluxes dynamics is investigated. The model evaluations suggest that both WRF and coupled WRF‐Hydro reasonably represent the diurnal variations of the near‐surface meteorological fields, surface energy fluxes and hourly partitioning of available energy. By incorporating additional lateral flow processes, the coupled WRF‐Hydro simulates higher surface soil moisture over the mountainous area, resulting in increased latent heat flux and decreased sensible heat flux of around 20–50 W/m2 in their diurnal peak values during summertime, although the net radiation and ground heat fluxes remain almost unchanged. The simulation results show that the diurnal cycle of surface energy fluxes follows the local terrain and vegetation features. This highlights the importance of consideration of lateral flow processes over areas with heterogeneous terrain and land surfaces.

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Evaluation of three new surface irrigation parameterizations in the WRF-ARW v3.8.1 model: the Po Valley (Italy) case study

Cited by 21 publications

References 55 publications

Regional Climate Effects of Irrigation Over Central Asia Using Weather Research and Forecasting Model

Regional Climate Effects of Irrigation Over Central Asia Using Weather Research and Forecasting Model

Improved Water Savings and Reduction in Moist Heat Stress Caused by Efficient Irrigation

Diurnal cycle of surface energy fluxes in high mountain terrain: High‐resolution fully coupled atmosphere‐hydrology modelling and impact of lateral flow

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