Abstract
Windblown dust aerosol plays an important role in marine ecosystems once they are deposited and dissolved. At present, methods for estimating the deposition flux are mainly limited to direct measurements or model outputs. Additionally, satellite remote sensing was often used to estimate the integral dust column concentration (DCC). In this paper, an algorithm is developed to estimate the mass deposition fluxes of Asian dust by satellite. The dust aerosol is identified firstly and then the DCC is derived based on the relationships between the pre-calculated lookup table (LUT) and observations from Japanese geostationary Multi-functional Transport Satellites (MTSAT). The LUT is built on the dust cloud and surface parameters by a radiation transfer model Streamer. The average change rate of deposition is derived, which shows an exponential decay dependence on transport time along the pathway. Thus, the deposition flux is acquired via integrating the hourly deposition. This simple algorithm is applied to a dust storm that occurred in the Bohai Sea and Yellow Sea from 1 to 3 March 2008. Results indicate that the properties of the dust cloud over the study area changed rapidly and the mass deposition flux is estimated to be 2.59 Mt.
Highlights
Dust aerosol carried by dust storm events from Asia damage to the local ecosystems and human society, and have large impacts on downwind areas such as Japan, Korea, and even the WestPacific Ocean through long-range transport [1]
The Multi-functional Transport Satellite1R of Japan Meteorological Agency was launched on 26 February 2005
The dust cloud over the Bohai Sea and Yellow Sea on 1–3 March 2008 was discriminated first based on the detection algorithm developed by Tu et al [26]
Summary
Dust aerosol carried by dust storm events from Asia damage to the local ecosystems and human society, and have large impacts on downwind areas such as Japan, Korea, and even the West. We focus on the estimation of dust mass deposition fluxes over the ocean. Various global [10,11] and regional [12,13] dust models have been developed to estimate the emissions, transport and deposition since the late 1980s. Because of the lack of continuous and simultaneous observational data, dust deposition over the ocean is still poorly understood, which badly needs quantitative evaluation research. Satellites can provide continuous dust monitoring over large areas and the development of inverse data calculation methods can produce quantitative estimates of dust column concentration (called dust burden or dust load). A new algorithm is developed to estimate the deposition flux of a dust event using the geostationary satellite data.
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