Effects of crop growth and development on land surface fluxes

Chen, Feng; Xie, Zhenghui

doi:10.1007/s00376-010-0105-1

Cited by 12 publications

(12 citation statements)

References 29 publications

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“…Thus, increases of 0.01, 0.03, 0.04, 0.02, and 0.01 mm 3 /mm 3 in the root zone soil moisture, and decreases of 0.02, 0.01, 0.02, 0.01, and 0.01 mm 3 /mm 3 in top soil moisture were observed as a directly result of the decrease in leaf area index and fractional vegetation cover over the five sub-regions NE, NC, HH, SE, and SW, respectively. These findings are consistent with the results derived from the two off-line experiments conducted by Chen and Xie (2011). Although the top-layer soil moisture is reduced, the sum of top-layer soil moisture and root zone soil moisture is increased, which led to an increase of 0.01, 0.08, 0.08, 0.09, and 0.05 mm/day in surface runoff (In BATS, the surface is related to the sum of top soil moisture and root zone soil moisture rather than top soil moisture.).…”

Section: Effects Of Crop Growth and Development On Local Land Surfacesupporting

confidence: 83%

“…In a previous study (Chen and Xie 2011), the CERES formulations of maize, wheat, and rice phonological development and growth were incorporated into BATS. The interface between the two models is connected through the exchange of environmental conditions and crop growth conditions in a daily time step.…”

Section: Ceres V30 Model and Its Implementation In Regcm3mentioning

confidence: 99%

“…In addition, we introduced the seasonal crop growth and development into the land surface model and climate model, and thus investigated the effect of crop growth and development on surface fluxes and regional climate. In a previous study (Chen and Xie 2011), a twoway interaction model was developed by coupling a crop growth model (Crop Estimation through Resource and Environment Synthesis version 3.0, CERES v3.0) with the biosphere-atmosphere transfer scheme (BATS), which is the land surface component of the ICTP Regional Climate Model version 3 (RegCM3). The results of several numerical experiments showed that the coupled model could capture the responses of crop growth and development of environmental conditions, as well as the feedback of crop growth and development on land surface processes.…”

Section: Introductionmentioning

confidence: 99%

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Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Chen

Xie

2011

Clim Dyn

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In this study, the CERES phenological growth and development functions were implemented into the regional climate model, RegCM3 to give a model denoted as RegCM3_CERES. This model was used to represent interactions between regional climate and crop growth processes. The effects of crop growth and development processes on regional climate were then studied based on two 20-year simulations over the East Asian monsoon area conducted using the original regional climate model Reg-CM3, and the coupled RegCM3_CERES model. The numerical experiments revealed that incorporating the crop growth and development processes into the regional climate model reduced the root mean squared error of the simulated precipitation by 2.2-10.7% over north China, and the simulated temperature by 5.5-30.9% over the monsoon region in eastern China. Comparison of the simulated results obtained using RegCM3_CERES and RegCM3 showed that the most significant changes associated with crop modeling were the changes in leaf area index which in turn modify the aspects of surface energy and water partitions and lead to moderate changes in surface temperature and, to some extent, rainfall. Further analysis revealed that a robust representation of seasonal changes in plant growth and developmental processes in the regional climate model changed the surface heat and moisture fluxes by modifying the vegetation characteristics, and that these differences in simulated surface fluxes resulted in different structures of the boundary layer and ultimately affected the convection. The variations in leaf area index and fractional vegetation cover changed the distribution of evapotranspiration and heat fluxes, which could potentially lead to anomalies in geopotential height, and consequently influenced the overlying atmospheric circulation. These changes would result in redistribution of the water and energy through advection. Nevertheless, there are significant uncertainties in modeling how monsoon dynamics responds to crop modeling and more research is needed.

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Section: Effects Of Crop Growth and Development On Local Land Surfacesupporting

confidence: 83%

Section: Ceres V30 Model and Its Implementation In Regcm3mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Chen

Xie

2011

Clim Dyn

Self Cite

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“…Changes of LAI and GVF with plant growth lead to changes in surface albedo, bulk canopy conductance and roughness length, which in turn alter the partitioning of surface energy fluxes (Chen and Xie 2011, Chen and Xie 2012, Crawford et al 2001, Tsvetsinskaya et al 2001a, Xue et al 1996. Such altered energy partitioning at the land surface then changes the thermodynamic state of the atmospheric boundary layer withregard to air temperature, surface vapor pressure, relative humidity and finally rainfall (Chen and Xie 2012, McPherson and Stensrud 2005, Sulis et al 2015, Tsvetsinskaya et al 2001b.…”

Section: Discussionmentioning

confidence: 99%

“…Noah-MP collects agricultural areas into only general land use classes such as "Dryland Cropland and Pasture", "Irrigated Cropland and Pasture" or "Mixed Dryland/Irrigated Cropland and Pasture" etc.. Vegetation dynamics and its seasonal development are described in the Noah-MP model by the plant variables GVF and LAI. The surface energy fluxes critically depend on accurately representing GVF and LAI dynamics (Chen and Xie 2011, Crawford et al 2001, https://doi.org/10.5194/bg-2019 Preprint. Discussion started: 11 December 2019 c Author(s) 2019.…”

Section: Introductionmentioning

confidence: 99%

Distinguishing between early and late covering crops in the land surface model Noah-MP: Impact on simulated surface energy fluxes and temperature

Bohm¹,

Ingwersen²,

Milovac³

et al. 2019

Preprint

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Abstract. Land surface models are essential parts of climate and weather models. The widely used Noah-MP land surface model requires information on the leaf area index (LAI) and green vegetation fraction (GVF) as key inputs of its evapotranspiration scheme. The model aggregates all agricultural areas into a land use class termed <q>Cropland and Pasture</q>. In a previous study we showed that, on a regional scale, GVF has a bimodal distribution formed by two crop groups differing in phenology and growth dynamics: early covering crops (ECC, ex.: winter wheat, winter rapeseed, winter barley) and late covering crops (LCC, ex.: corn, silage maize, sugar beet). That result can be generalized for Central Europe. The present study quantifies the effect of splitting the land use class <q>Cropland and Pasture</q> of Noah-MP into ECC and LCC on surface energy fluxes and temperature. We further studied the influence of increasing the LCC share, which in the study area (the Kraichgau region, southwest Germany) is mainly the result of heavily subsidized biomass production, on energy partitioning at the land surface. We used the GVF dynamics derived from high-resolution (5&#8201;m&#8201;&#215;&#8201;5&#8201;m) RapidEye satellite data and measured LAI data for the simulations. Our results confirm that GVF and LAI strongly influence the partitioning of surface energy fluxes, resulting in pronounced differences between ECC and LCC simulations. Splitting up the generic crop into ECC and LCC had the strongest effect on land surface exchange processes in July&#8211;August. During this period, ECC are at the senescence growth stage or already harvested, while LCC have a well-developed, ground-covering canopy. The generic crop resulted in humid bias, i.e. an increase of evapotranspiration by +0.5&#8201;mm&#8201;d&#8722;1 (LE: 1.3&#8201;MJ&#8201;m&#8722;2&#8201;d&#8722;1), decrease of H by 1.2&#8201;MJ&#8201;m&#8722;2&#8201;d&#8722;1 and decrease of surface temperature by &#8722;1&#8201;&#176;C. The bias increased as the shares of ECC and LCC became similar. The observed differences will impact the simulations of processes in the planetary boundary layer. Increasing the LCC share from 28 to 38&#8201;% in the Kraichgau region led to a decrease of LE and a heating up of the land surface in the early growing season. Over the second part of the season, LE increased and the land surface cooled down by up to 1&#8201;&#176;C.

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A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate

Leng

Huang

Tang

et al. 2015

J Adv Model Earth Syst

105

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This study investigates the effects of irrigation on global water resources by performing and analyzing Community Land Model 4.0 (CLM4) simulations driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs). For each climate scenario, three sets of numerical experiments were performed: (1) a CTRL experiment in which all crops are assumed to be rainfed; (2) an IRRIG experiment in which the irrigation module is activated using surface water (SW) to feed irrigation; and (3) a PUMP experiment in which a groundwater pumping scheme coupled with the irrigation module is activated for conjunctive use of surface water and groundwater (GW) for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based water use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major effects: SW (GW) depletion in regions with irrigation primarily fed by SW (GW), respectively. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting increased vulnerability to drought. By the end of the 21st century, combined effect of increased irrigation water demand and amplified temporal-spatial variability of water supply may lead to severe local water scarcity for irrigation. Regionally, irrigation has the potential to aggravate/alleviate climate-induced changes of SW/GW although such effects are negligible when averaged globally. Our study highlights the need to account for irrigation effects and sources in assessing regional climate change impacts.Correspondence to: M. Huang, maoyi.huang@pnnl.gov Citation:Leng, G., M. Huang, Q. Tang, and L. R. Leung (2015), A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate, J. Adv.

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Effects of crop growth and development on land surface fluxes

Cited by 12 publications

References 29 publications

Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Distinguishing between early and late covering crops in the land surface model Noah-MP: Impact on simulated surface energy fluxes and temperature

A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate

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