Integrated parameterization of irrigation in the land surface model ORCHIDEE. Validation over Indian Peninsula

Rosnay, Patricia de; Polcher‬, Jan; Laval, K.; Sabre, Maeva

doi:10.1029/2003gl018024

Cited by 110 publications

(121 citation statements)

References 10 publications

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“…The development of LSMs can be traced back to early work by Thornthwaite and Mather (1957) and Manabe (1969), who developed a simple "bucket model" based on the concepts of Budyko (1965). Early LSMs used simple parameterizations for solving surface energy and water balances without explicitly simulating the influence of land use change and human water management on surface hydrological processes (Deardorff, 1978;Bonan, 1995). They are used to estimate the exchange of energy, heat, and momentum between the land surface and atmosphere in GCMs, and to close budgets.…”

Section: Evolution Of Representing Human Impacts In Hydrological Modelsmentioning

confidence: 99%

Human–water interface in hydrological modelling: current status and future directions

Wada

Bierkens

Roo

et al. 2017

Hydrol. Earth Syst. Sci.

221

181

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Abstract. Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of largescale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human-water interface in hydrological models.

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Section: Evolution Of Representing Human Impacts In Hydrological Modelsmentioning

confidence: 99%

Human–water interface in hydrological modelling: current status and future directions

Wada

Bierkens

Roo

et al. 2017

Hydrol. Earth Syst. Sci.

221

181

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“…Further new developments include consideration of the relevance of agriculture, wetlands and lakes for the aggregate behaviour of the land surface (e.g. Rosnay et al, 2003;Ringeval et al, 2012;Webler et al, 2012;Drewniak et al, 2013). With these aspects adding ever-increasing complexity, however, a new modelling strategy is required to ensure that the uncertainties do not spiral out of control as more and more uncertain parameters are introduced.…”

Section: Bounding Complexity: the Use Of Multiple Constraintsmentioning

confidence: 99%

Reliable, robust and realistic: the three R's of next-generation land-surface modelling

et al. 2015

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Abstract. Land-surface models (LSMs) are increasingly called upon to represent not only the exchanges of energy, water and momentum across the land-atmosphere interface (their original purpose in climate models), but also how ecosystems and water resources respond to climate, atmospheric environment, land-use and land-use change, and how these responses in turn influence land-atmosphere fluxes of carbon dioxide (CO 2 ), trace gases and other species that affect the composition and chemistry of the atmosphere. However, the LSMs embedded in state-of-the-art climate models differ in how they represent fundamental aspects of the hydrological and carbon cycles, resulting in large inter-model differences and sometimes faulty predictions. These "thirdgeneration" LSMs respect the close coupling of the carbon and water cycles through plants, but otherwise tend to be under-constrained, and have not taken full advantage of robust hydrological parameterizations that were independently developed in offline models. Benchmarking, combining multiple sources of atmospheric, biospheric and hydrological data, should be a required component of LSM development, but this field has been relatively poorly supported and intermittently pursued. Moreover, benchmarking alone is not sufficient to ensure that models improve. Increasing complexity may increase realism but decrease reliability and robustness, by increasing the number of poorly known model parameters. In contrast, simplifying the representation of complex processes by stochastic parameterization (the representation of unresolved processes by statistical distributions of values) has been shown to improve model reliability and realism in both atmospheric and land-surface modelling contexts. We provide examples for important processes in hydrology (the generation of runoff and flow routing in heterogeneous catchments) and biology (carbon uptake by speciesdiverse ecosystems). We propose that the way forward for next-generation complex LSMs will include: (a) representations of biological and hydrological processes based on the implementation of multiple internal constraints; (b) systematic application of benchmarking and data assimilation techniques to optimize parameter values and thereby test the structural adequacy of models; and (c) stochastic parameterization of unresolved variability, applied in both the hydrological and the biological domains.

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“…Modeling studies have reported different magnitudes of irrigation cooling effects, depending on the irrigation schemes prescribed in their models (Qian et al 2013;Ozdogan et al 2010;Sacks et al 2008;Sorooshian et al 2011;Lo and Famiglietti 2013;Adegoke et al 2003;de Rosnay et al 2003;Haddeland et al 2006;Kanamaru and Kanamitsu 2008;B. Yang et al 2016).…”

Section: A Backgroundmentioning

confidence: 99%

Impact of Irrigation over the California Central Valley on Regional Climate

Yang

Domínguez²,

Zeng

et al. 2017

Journal of Hydrometeorology

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Irrigation, while being an important anthropogenic factor affecting the local to regional water cycle, is not typically represented in regional climate models. An irrigation scheme is incorporated into the Noah land surface scheme of the Weather Research and Forecasting (WRF) Model that has a calibrated convective parameterization and a tracer package is used to tag and track water vapor. To assess the impact of irrigation over the California Central Valley (CCV) on the regional climate of the U.S. Southwest, simulations are run (for three dry and three wet years) both with and without the irrigation scheme. Incorporation of the irrigation scheme resulted in simulated surface air temperature and humidity that were closer to observations, decreased depth of the planetary boundary layer over the CCV, and increased convective available potential energy. The result was an overall increase in precipitation over the Sierra Nevada range and the Colorado River basin during the summer. Water vapor rising from the irrigated region mainly moved northeastward and contributed to precipitation in Nevada and Idaho. Specifically, the results indicate increased precipitation on the windward side of the Sierra Nevada and over the Colorado River basin. The former is possibly linked to a sea-breeze-type circulation near the CCV, while the latter is likely associated with a wave pattern related to latent heat release over the moisture transport belt.

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Integrated parameterization of irrigation in the land surface model ORCHIDEE. Validation over Indian Peninsula

Cited by 110 publications

References 10 publications

Human–water interface in hydrological modelling: current status and future directions

Human–water interface in hydrological modelling: current status and future directions

Reliable, robust and realistic: the three R's of next-generation land-surface modelling

Impact of Irrigation over the California Central Valley on Regional Climate

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