Soil moisture prediction over the Australian continent

Shao, Yaping; Leslie, Lance M.; Munro, R. K.; Irannejad, Parviz; Lyons, William F.; Morison, Russel P.; SHORT, DAVID; Wood, Mellissa

doi:10.1007/bf01027385

Cited by 19 publications

(14 citation statements)

References 40 publications

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“…The particle‐size distributions of each soil class were considered to be unchanged during wind erosion events. Soil moisture varied considerably during the simulation period and was modeled accordingly within CEMSYS [ Shao et al , 1997].…”

Section: Methodsmentioning

confidence: 99%

Australian dust storms in 2002–2003 and their impact on Southern Ocean biogeochemistry

Gabric

Cropp

McTainsh

et al. 2010

Global Biogeochemical Cycles

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During late 2002 and early 2003, southern Australia was in the grip of drought and experienced one of its most active dust storm seasons in the last 40 years with large dust plumes frequently advected over the adjacent Southern Ocean. We use meteorological records of dust activity, satellite ocean color, and aerosol optical depth data and dust transport modeling to investigate the transport and deposition of mineral dust from Australia over adjacent ocean regions and to correlate it with biological response in phytoplankton standing stock as measured by chlorophyll a concentration in 5 degree latitude bands from 40° to 60°S. Seasonal maxima in mean surface chlorophyll a of ∼0.5 mg m−3 were not achieved until late January 2003 or during February in the more southerly bands, which when compared with a 9 year satellite mean climatology suggests the phenology of the bloom in 2002–2003 was atypical. Contemporaneous field data on CO2 fugacity collected on transects between Tasmania and Antarctica show that significant atmospheric CO2 drawdown occurred as far south as 60°S during February 2003. Our results provide strong evidence for a large‐scale natural dust fertilization event in the Australian sector of the Southern Ocean and highlight the importance of dust‐derived nutrients in the marine carbon cycle of the Southern Ocean.

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Section: Methodsmentioning

confidence: 99%

Australian dust storms in 2002–2003 and their impact on Southern Ocean biogeochemistry

Gabric

Cropp

McTainsh

et al. 2010

Global Biogeochemical Cycles

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“…A detailed description of ALSIS and its validation are given by Irannejad and Shao [1998]. The applications of ALSIS in modeling large‐scale soil moisture have been presented by Shao et al [1997]. Soil moisture simulation is in itself a complex subject and it is not necessary to describe it here in detail.…”

Section: Integrated Wind Erosion Modeling Systemmentioning

confidence: 99%

Numerical prediction of northeast Asian dust storms using an integrated wind erosion modeling system

2002

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Northeast Asia is one of the most active regions of mineral dust emission. In this study, an integrated wind erosion modeling system is developed, which consists of an atmospheric model, a land surface scheme, a wind erosion scheme (for dust emission and sediment drift), a dust transport and deposition scheme, and a geographic information database. The integrated system is applied to the prediction of northeast Asian dust storms, from the perspective of dust emission and dust concentration of various particle size groups. Two successive but different dust storm events that occurred on 6–7 and 9–10 April 2000 are studied and the predictions are compared qualitatively with meteorological and satellite observations. The comparison shows that the integrated system simulated well the spatial and temporal evolution of dust source and dust concentration. The simulations reveal several significant synoptic features of dust storms. It is found that during a typical dust storm episode, the total emission of dust (with d ≤ 22 μm, d is particle diameter) in northeast Asia amounts to 4.62 Mt/day, including 0.04, 1.88, and 2.70 Mt/day for particle size groups, d ≤ 2 μm, 2 < d ≤ 11 μm, and 11 < d ≤ 22 μm, respectively.

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“…In agricultural drought prediction, there is an increasing demand for detailed predictions of soil moisture at basin scales. So far, however, there has been little dedicated work to meet this urgent need, and soil moisture predictions are usually obtained as a by-product of climate and weather prediction models coupled with a land surface parameterization scheme [1][2][3][4], which are not designed for a basin-scale study.…”

Section: Introductionmentioning

confidence: 99%

Development of a soil moisture prediction model based on Xinanjiang model and GIS

Zhang

Wang

et al. 2009

SPIE Proceedings

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Soil moisture conditions are very important in agriculture -they control crops growth and development and are used directly to assess irrigation needs for a variety of crops. In this paper, a new soil moisture prediction model was developed based on GIS technology and the hydrological model Xinanjiang，which has been successfully and widely applied in humid and semi-humid regions in China since its development. The original Xinanjiang model uses a single parabolic curve to represent the spatial distribution of the soil moisture storage capacity over the catchment, where the exponent parameter b measures the non-uniformity of this distribution. It was extended to be a distributed hydrological model by using GIS technology. The watershed is divided into a number of regular grids, corresponding to the grids of DEM, and each grid is viewed as a sub-basin. So the surface runoff production was calculated for each grid. The runoff in each grid cell is routed along the stream flow direction to the main watershed outlet respectively at different velocity depending on the slop of this grid and watershed-average routing velocity . The soil moisture is predicted using the new distributed hydrological model. The new model was tested in Linyi watershed, Shandong province, China. The results show that the soil moisture predicted by the new model agrees with the field observed.

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Soil moisture prediction over the Australian continent

Cited by 19 publications

References 40 publications

Australian dust storms in 2002–2003 and their impact on Southern Ocean biogeochemistry

Australian dust storms in 2002–2003 and their impact on Southern Ocean biogeochemistry

Numerical prediction of northeast Asian dust storms using an integrated wind erosion modeling system

Development of a soil moisture prediction model based on Xinanjiang model and GIS

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