Functional relationships reveal differences in the water cycle representation of global water models

Nature Water, Journal Year: 2023, Volume and Issue: 1(12), P. 1079 - 1090

Published: Nov. 27, 2023

Language: Английский

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Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method

Agricultural Water Management, Journal Year: 2023, Volume and Issue: 278, P. 108119 - 108119

Published: Jan. 9, 2023

The modeling of irrigation in land surface models are generally based on two soil moisture parameters SMthreshold and SMtarget at which automatically starts stops, respectively. Typically, both usually set to optimal values allowing fill the water reservoir with just estimated right amount avoid crop excess all times. point is that agricultural practices greatly vary according many factors (climatological, crop, soil, technical, human, etc.). To gap, we propose a new calibration method represent use any (optimal, deficit or even over) regime. approach tested using dual-crop coefficient FAO-56 model implemented field scale over an 8100 ha district northeastern Spain where precisely monitored scale. Both first retrieved monthly from observations year 2019. simulated by then evaluated against weekly 5 years (2017–2021) separately. performance newly calibrated module also assessed comparing it three other modules varying configurations including default estimates for SMtarget. proposed obtains systematically best each overall correlation 0.95 ± 0.02 root-mean square error 0.27 0.07 hm3/week (0.64 0.17 mm/day). Unlike used as benchmark, able reproduce farmers’ throughout year, especially, simulate actual regimes occurring study area spring summer,

Language: Английский

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Global impacts of heat and water stress on food production and severe food insecurity

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 22, 2024

In contrast to most integrated assessment models, with limited transparency on damage functions and recursive temporal dynamics, we use a unique large-dimensional computational global climate trade model, GTAP-DynW, directly project the possible intertemporal impacts of water heat stress food supply security 2050. The GTAP-DynW model uses GTAP production data for 141 countries regions, varying baselines, results are aggregated into 30 countries/regions commodity sectors. Blue projections drawn from WRI source material GTAP-Water database incorporate dynamic changes in resources their availability agricultural international trade, thus providing more general measure severe insecurity damages warming. Findings presented three representative concentration pathways: RCP4.5-SSP2, RCP8.5-SPP2, RCP8.5-SSP3 (population growth only SSPs) project: (a) substantial declines, as measured by GCal, some 6%, 10%, 14% 2050 (b) number additional people 2050, correspondingly, increases 556 million, 935 1.36 billion compared 2020 baseline.

Language: Английский

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Uncovering Current and Future Variations of Irrigation Water Use Across China Using Machine Learning

Earth s Future, Journal Year: 2024, Volume and Issue: 12(3)

Published: March 1, 2024

Abstract Accurately characterizing changes in irrigation water use (IWU) is crucial for formulating optimal resource allocation policies, particularly the context of climate change. However, existing IWU estimation methods suffer from uncertainties due to limited data availability and model constraints, restricting their applicability on a national scale under future change scenarios. We present robust framework leveraging machine learning multiple sets estimate across China. Forced with an ensemble socio‐economic projections, we appraise trends additional costs IWU. Our shows high accuracy reproducing IWU, coefficient determination ( R 2 ) ranging 0.86 0.91 root mean square error 0.261 0.361 km 3 /yr when compared reported values Chinese prefectures. Independent validation at 11 cropland sites further confirms model's predictive power = 0.67). Under different emissions scenarios, China's projected increase by 8.5%–17.1% (6.8%–34.8%) 2050s (2100s) historical period (1981–2010), higher leading more significant increases. This rise comes estimated cost US $1.65–3.91 ($2.28–6.5) billion/year, highlighting urgency sustainable management. study provides effective approach estimating current using techniques, transferable other countries facing increasing demands.

Language: Английский

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Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 613, P. 128413 - 128413

Published: Aug. 28, 2022

Language: Английский

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Estimation of spatial distribution of irrigated crop areas in Europe for large-scale modelling applications

Agricultural Water Management, Journal Year: 2022, Volume and Issue: 266, P. 107527 - 107527

Published: Feb. 25, 2022

Regional-to-global studies of hydrology, water availability and use, their interaction with agricultural production food security require accurate information on the location extent irrigated croplands. In this study, we derive European Irrigation Map for year 2010 (EIM2010) - underpinned by census conducted in Union 2010. The map contains 14 crop classes as well total irrigable areas centred thematic resolution is tailored specifically to agriculture, most relevant staple crops (e.g. maize, rice, potato, other cereals) major permanent olive orchards vineyards). was created using a consistent methodology data gathered across Member States UK, therefore provides comparable representative continental domain. input used construct consisted farm-level records areas, collected during aggregated 10 km x grid, regional-level statistics (at NUTS2 level) type. A custom-developed disaggregation algorithm distribute into grid. Evaluation against independent reference geospatial indicated satisfactory agreement both large-scale spatial patterns specific grid cell values main regions. EIM2010 publicly available valuable inputs large scale modelling applications involving agriculture.

Language: Английский

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Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product?

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(4)

Published: March 25, 2023

Abstract Irrigation is the largest human intervention in water cycle that can modulate climate extremes, yet irrigation use (IWU) remains largely unknown most regions. Microwave remote sensing offers a practical way to quantify IWU by monitoring changes soil moisture caused irrigation. However, high‐resolution satellite data typically infrequent (e.g., 6–12 days) and thus may miss events. This study evaluates ability assimilating (1 km) SMAP‐Sentinel 1 remotely sensed with physically based land surface model (LSM) using particle batch smoother (PBS). A suite of synthetic experiments devised evaluate different error sources. Results from show unbiased simulations known timing produce an accurate estimate mean annual bias 0.45% R 2 0.97, relative observed IWU. Unknown significantly deteriorate performance, resulting increased 23% decreased 0.36. Adding random noise observations does not decrease performance except for low observation frequency (>12 days). In real‐world experiments, PBS assimilation approach underestimates 18.6% when known. estimates are consistently higher over irrigated pixels compared non‐irrigated pixels, indicating skillfully conveys signals LSM.

Language: Английский

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Assessment and mechanism analysis of plant salt tolerance regulates soil moisture dynamics and controls root zone salinity and sodicity in seasonally irrigated agroecosystems

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 617, P. 129138 - 129138

Published: Jan. 18, 2023

Language: Английский

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Effects of different irrigation methods on regional climate in North China Plain: A modeling study

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 342, P. 109728 - 109728

Published: Sept. 26, 2023

Agricultural irrigation is important in boosting crop yields especially water-stressed regions, but little known about the distinct climatic effects induced by different methods, particularly North China Plain (NCP) where applied extensively. Here we examine of flood (FI), sprinkler (SI) and drip (DI) over NCP during growing season using dynamic schemes implemented into a coupled land-atmosphere model. The model generally captures spatial distribution surface temperature, relative humidity precipitation. changes regional average temperature FI, SI DI are –0.43, –0.53 –0.19 °C, respectively. relatively larger cooling effect for than that FI associated with enhanced cloud formation. By shifting energy balance, cause wet, cool, cloudy shallow planetary boundary layer, while exhibits smallest indeed inhibits increases convective available potential precipitable water enhance precipitation 0.8–1.2 mm d–1. In contrast, reduced due to within leads warmer drier from June August, which likely upper-level geopotential heights turn suppresses series climate feedbacks. hydrometeorological interactions feedbacks arising methods related rates, frequencies approaches application. While recognized as most water-saving method, it also generates least among three thus less effective safeguarding grain against rising temperatures. Our study emphasizes need more sustainable adaptive ensure food security, conservation stability face change.

Language: Английский

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Characterizing spatial, diurnal, and seasonal patterns of agricultural irrigation expansion-induced cooling in Northwest China from 2000 to 2020

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 330, P. 109304 - 109304

Published: Jan. 9, 2023

Language: Английский

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