Asian dust storms are one of the significant events which influence the environment, climate, as well as land and ocean ecology in East Asian, and at least western Pacific. Understanding these dust storms, about their spatial and temporal variabilities and the characteristics of mineral dust aerosols is of first priority. Owing to limited observation facilities and coarse spatial resolution, so far, our knowledge about Asian dust storms is still very limited, in particular mesoscale structure and mineral dust aerosol's optical depth spectra in severe situation when a lot of instruments are ineffective. In present paper, based on surface meteorological observation relatively high spatial and temporal resolution (about 100 km resolution and 1 hr), we investigated the mesoscale variability of spring dust storms with case study and statistical investigation. Also, base on our solar spectral observation over Beijing, the optical depth spectra of mineral dust aerosols are given with case study and statistics. Comparisons are also made with other related observations in eastern Asia. These results will be useful for estimation of atmospheric dust loading and their transport over eastern part of Northern China.
On the basis of retrieving clear-day LST (Land Surface Temperature) with single time/dual channels SWA (Split-Window Algorithm) by using GMS 5 satellite observation. To establish LST database the regression equation are established for LST by using GMS/IR data and some surface meteorological parameters as input. The preliminary results show that the present results are better than those from several modified SWAs. Applied GMS 5 data from 1998-2OOO to East Asia and in particular to several representative land surface types including Talimu Basin (Gobi desert) Tibetan Plateau Hunshandake Sands (mid-latitude savanna) Northern Plain of China and Southern China the fundamental characteristics of the diurnal seasonal and interannual variation of LST are analyzed and discussed in detail.
In 2000 Frank Wentz and Thomas Meissner described a model function for the microwave radiometer's brightness temperature of the ocean and intervening atmosphere. The oceanic and atmospheric parameters are the sea surface temperature the near-surface wind speed the columnar water vapor and the columnar cloud liquid water. We analyzed the sensitivity between the geophysical parameters and the microwave radiometer's brightness temperature with the model function. First we find that the sensitive bands of the sea surface temperature are 6.93GHz v-pol and 10.65GHz v-pol; the sensitive bands ofthe near-surface wind speed are 6.93GHz h-pol, 10.65GHz h-pol, 18.7GHz h-pol, 23.8GHz h-pol, and 36.5GHz h-pol; the sensitive bands of the columnar water vapor are 18.7GHz v-pol, 18.7GHz h-pol, 23.8GHz v-pol, 23.8GHz h-pol, 36.5GHz v-pol and 36.5GHz h-pol; the sensitive bands of the columnar cloud liquid water are 36.5GHz v-pol and 36.5GHz h-pol. Second we find that the brightness temperature is sensitive to incidence angle variations. One-degree error in specifying incidence angle produces a 2.5K error in brightness temperature. The 2.5K errors in brightness temperature produce 5K errors in sea surface temperature and 4.5m/s error in near-surface wind speed. Third we find that brightness temperature is not sensitive to the sea surface salinity in the 6 to 37 GHz band.
A combining retrieval method of radio occultation measurements is presented. Vertical profiles of water vapor and temperature are retrieved from radio occultation bending angles with a new method combining the artificial neural network and iterative method. We used a feedforward full-connected network based on the back-propagation algorithm to retrieve the water vapor profiles in the troposphere. The network was trained by paired bending angle and water vapor pressure profiles from CHAMP. The month latitude altitude and bending angle were used as the input vectors and the water vapor pressure as the output vector. The profile of water vapor pressure retrieved by the ANN was applied to the iterative procedure that exploits the constrains on temperature and water vapor pressure mandated by the ideal gas law and the equation ofhydrostatic equilibrium. The vertical distribution of temperature was calculated.
For joint retrieval of vertical distributions of both air density and ozone concentration in the mesosphere which are two of the most important atmospheric parameters in this region a retrieval scheme is suggested by using satellite limb scan observation at two UV wavelengths i. e. 265 nm and 296 nm. The retrieval scheme is the modification of the LSUV method by Aruga and Heath with two UV wavelengths and two atmospheric parameters. Feasibility study was made based on simulated limb scan radiances computed with a single scattering radiative transfer algorithm of spherical geometry developed by the present authors and the inversion technique. Results of the simulations show that it is feasible to retrieve air density and ozone concentration vertical distributions on a global basis from satellite UV limb scan over the altitude range of 50-100 km with 1-km intervals as well as the SME measurements of air density and ozone indicate the rationality of the present retrieval method.
A ground-based visible all-sky imaging system has been in operation for more than 2 years in Beijing (40°N, 116.5°E) since 2001. Using the 1428 images selected from those obtained from the year 2001 to 2003 we analyzed the spatial and temporal distribution of clouds and their seasonal variation in Beijing in two different ways. Some statistical results show that cloud distribution has some special character. We found that cloud fraction estimated from the all-sky image is relative to its height base-height and position relative to observer of cloud itself. To understand it further and to apply it to other researches of this system we simplified the cloud into two simple types: cube cloud and cylinder cloud for simulation. Then we studied the variation of the cloud fraction with its site on the principle of the equi-angle projection of the fish-eye lens. At the end of the paper the numerical simulation results are presented. Depending on different ratio of width to height cloud fraction has different variation. If ratio value is smaller than threshold value cloud fraction will increase at first and then decrease with the increase of the zenith angle.
Since late 1980s there have been a series of satellite-borne microwave (MW) radiometers operated for remote sensing of water-related parameters in particular for rainfall observation among them SSMII on DMSP TMI on TRMM and AMSR-E on AQUA are well known instruments. A lot of retrieval schemes have been published for operational and research purposes. Inter-comparison of different retrieval algorithms and their products is an important task for their reliable application with enough accuracy. In this paper we will compare some algorithms for SSM/I products over West Pacific area. The methodology is mainly focusing on the comparison of retrieved hourly rain rate at the spatially and temporally collocated area statistical results and case study will be given.
Infrared remote sensing of clouds is one of the main subjects in the field of atmospheric remote sensing from satellites. As its characteristics of intense infrared radiation and absorption the heights of cloud top can generally be derived from the brightness temperature obtained from satellite infrared cloud images and then a series of study about cloud morphologic microphysics and dynamics can be conducted. On the same principle the heights of cloud base can also be determined by sky infrared brightness temperature observations on the ground. Some preliminary studies were made in the past but have not been extended. The reason is that the range of zenith angle is very wide for ground-based remote sensing of cloud base heights. From near horizontal ground up to zenith at different zenith angle the background infrared brightness temperature of clear sky atmosphere is very different it is the function of the atmospheric temperature and humidity profiles as well as the zenith angle. Hence the question must be considered is how to obtain the correct information about the heights of cloud base from sky background brightness temperatures in large variational range. In addition the contributions of aerosols in near ground atmosphere to sky brightness temperatures observed on the ground cannot be neglected. In order to correctly derive cloud base heights from sky brightness temperatures the effect of aerosol layer must be studied seriously. Using radiative transfer equation to study th sensitivities of thermal infrared brightness temperature values observed on the ground to different aerosols and different cloud base heights is an important basic work. In this paper systematic study on the variations of sky infrared brightness temperatures caused by different kinds of clouds under the different kinds of the different intensities (represented by different ground visibilities) of aerosols using MODTRAN 4.0 model is presented. In this study the feasibility of cloud base height remote sensing by ground-based sky infrared brightness temperature observation and the quantitative effects of aerosol layer on it can be found. From the calculated results by model the following can be concluded:
1. For low and middle clouds, the sky thermal infrared brightness temperature observed on the ground is very sensitive to the variations of cloud base height, therefore as the "clear" sky brightness temperature is known it can be used to retrieve and remote sensing of cloud base height.
2. The influence of aerosols (visibilities and aerosol types) above the ground on the sky background brightness temperatures is considerable, it must be corrected. Because the aerosol's influence on brightness temperatures with different zenith angles is fairly clear, it can be corrected very well.
Landsat Thermal Mapper data were used to monitoring the vegetation cover change in east part of the Hunshandake sandy land. The NDVI in middle September are 0.47, 0.67, 0.65 and 0.33 in 1987, 1996, 1998 and 2001, respectively, which highly correlated with the rainfall of July and August. There are some regions showed vegetation degradation which could not recover in a short time, most of them located in poor vegetated areas. And the degraded area is increasing from 1996 (3.8%) and to 1998 (6.0%). The vegetation condition shows improvement in 2001, and this may associated with the effort made by Chinese government to improve the environment of Hunshandake sandy land.
Using an ultraviolet limb-scan technique, this paper carries out the feasibility study of joint retrieval of ozone and air density vertical distributions in the mesosphere and upper stratosphere. Ozone and air density profiles are important parameters for middle atmosphere circulation. Satellite observation is the major method to obtain the parameters globally. In past years, there have been many research satellites, such as SME, the Shuttle Flight STS-87, using UV and IR waveband instruments to retrieve these parameters by limb-scan technique. As UV radiances observed by the satellite contain both information of ozone content (via absorption) and air density (via Rayleigh scattering), it is feasible to retrieve simultaneously these two parameters. In this paper, based on a radiative transfer algorithm for limb-scan mode, the joint retrieval feasibility study is carried out. In this paper, the method based on the Direct Method proposed (1976, 1982) by Aruga et al. is applied to retrieve ozone and air density profiles using simulated satellite measured data of multiple ultraviolet wavelengths by limb scanning and the sensitivity tests of air density errors to ozone inversion precision are performed together. Here, a joint retrieval scheme of ozone and air density is established, which makes it possible to obtain air density profile ,as well as ozone profile with an improved accuracy in the mesosphere and upper stratosphere.
Although space-borne passive microwave techniques have been used in global precipitation remote sensing with preliminary success, improvement of retrieval accuracy is still an active subject. As part of Chinese National High-Tech Research and Development Program for Space Technology, an improving method for remote sensing of rainfall distribution over ocean area is investigated. In this paper, the vertical structures of cloud model are established, and the radiative transfer models are briefly introduced, also some comparison results between simulation and observation are discussed.
An observational method has been proposed to sample echo data with high range resolutions using a ground-based meteorological radar. Utilizing this method, a quantity of rain echo data with a high range resolution of 125 m was obtained by using an X-band meteorological radar. The computation of rain nonuniformity strength using this high resolution radar data shows that the nonuniformity is significant and even in an instantaneous field of view (IFOV) of 1 km, the reflectivity excursion above 10 dB is common. The simulation of the nonuniform beam filling (NUBF) error of the path-averaged rainrate derived from the path-integrated attenuation measured by the spaceborne radar has been also implemented using this data. The results show that the rainrate encounters mainly underestimation and cannot be neglected, even in 0.5 km IFOV, it can reach over 50%. The correlation analyses show that the rainrate error and the true rainrate have a power relationship with some correlation, which might be used to correct this error partially. The simulation also shows that it is very important to use the high resolution data in studying the NUBF error of the next generation spaceborne radar with a higher across beam resolution (e.g. below 3 km).
The quasi-continuous measurements of direct solar and sky scattered spectrum over Beijing have been conducted since September 1998 with an automatic moderate resolution solar spectroradiometer (MORSAS) developed by the Institute of Atmospheric Physics, Chinese Academy of Sciences. The measurements of direct solar spectrum under cloud free conditions, including clear and turbid skies, were used to derive atmospheric aerosol optical thickness. During the period of Asian-Pacific Regional Aerosol Characterization Experiment (ACE-Asia) in spring 2001, a spectral radiometer CIMEL CE-318 in AERONET (owned by US NASA/GSFC) was operated at the same time and the same place with MORSAS. Comparing the observed results from the two instruments, they are consistent with each other. In this paper we present the variation of atmospheric aerosol optical thickness and Angstrom exponent which symbolizes the width of particle spectrum in Beijing during recent three years. In contrast with the middle of 1990’s, the atmospheric aerosol optical thickness in autumn and winter in recent years decreased slightly, indicating that Beijing air quality has been improved by certain local environmental management, whereas in spring in the latest 2 years the atmospheric aerosol optical thickness has evidently increased as the increase of the dust weather events, and the Angstrom exponent tends to be lower. This reveals that the ratio of larger particles especially the large dust-sand particles in the air has increased. So it is very important to enhance dust source management for those upstream and local arid and semi-arid regions.
Atmospheric aerosols play important roles in climate radiative forcing as well as environmental issues. In addition to microphysical and optical parameters, its vertical distribution is also important for both surface visibility, transport and related boundary layer stratification. Satellite-borne instruments, such as MODIS, AVHRR have monitored global aerosol distribution, but ground-based optical remote sensing is still of significance for validation and more detailed observation, such as diurnal variation and vertical distribution. In this paper, numerical simulations are conducted for clear atmosphere with various vertical structures of atmospheric aerosols. The sun direct observation is used to derive aerosol optical depth. In sun-zenith principal plane, pairs of directional scattered radiances symmetrically to solar direction (i.e. scattering angles are same but one is near zenith and the other near horizon) may be used to derive aerosol’s vertical distribution.
Digital Earth raises the requirement of dynamic monitoring of global land surface with extremely high resolution. Therefore, high-resolution surface reflectance is the basic parameter for earth observation which should be retrieved for further research and application purposes. To meet the above requirement, atmospheric correction is the necessary step for any space-borne and air-borne sensors in solar radiation waveband. There have been a lot of discussion and methods for atmospheric correction. In this paper, we shortly review the situation and then suggest a strategy of atmospheric correction for high surface resolution. An approximate expression of atmospheric spread function is derived. Numerical simulation reveals the significant features of atmospheric correction. Case study is made showing the procedure of the correction.
Based on the nearly coincided and collocated SSM/I and radiosonde data provided by NASDA (Japan), a self-organizing map (SOM) network-based model is developed for retrieving the oceanic total precipitable water (PW) from the SSM/I brightness temperature measurements. The model was firstly trained with the 5/6th of the data and then tested by the rest data. Comparisons of retrieved results with other algorithms show that the SOM model is significantly better than the classical statistically-based algorithms, especially in the low PW regime. The consuming time for PW retrievals with the SOM model is also acceptable in the operational applications.
Spaceborne microwave (MW) remote sensing of rainfall distribution with multi-channel radiometers has been proved as a powerful tool in past decade, in particular with DMSP's SSM/I data. Similar instruments but with different channel combinations, such as ADEOS-II/AMSR are being developed. Although there have been several retrieval schemes used for research and operational application, improvement of retrieval accuracy is still an important subject. As part of a NASDA project for ADEOS-II/AMSR retrieval algorithm development and Chinese National High-Tech R and D Program for Space Development, we proposed two kinds of retrieval algorithms for rainfall rate over ocean with SSM/I data. The first kind of algorithm is based on the probability pairing method, in which three different retrieval rain indices composed with different combination of SSM/I's channels are used as pairing indices with surface rainfall rate data provided by NASDA, Japan. Three different empirical rainfall rate--rain index relationship are produced. The second kind of algorithm is based on the method of self organization feature mapping (SOM), a kind of artificial neural network. SSM/I data and co-located surface rainfall data are put into SOM and clustering procedure is self-trained. After training, 154 clustering centers are formed and for each cluster a regressive relationship between retrieved rainfall rate and SSM/I data is established. In this paper, these two kinds of algorithm are briefly reviewed with their developments and validation. Their respective advantages and limitations are discussed.
Rainfall distribution over global and regional scales pays important role in research and application for climate change and global water cycle within the ocean-land- atmosphere system. Satellite-borne microwave (MW) radiometry, such as DMSP's SSM/I has been proved as a powerful tool for global rainfall estimation. Although its success in revealing global pattern and annual variation of global rainfall distribution, there is still big discrepancy in the accuracy and correlation of retrieval rainfall to real rainfall. For the improvement of retrieval accuracy, we still need to investigate the relationship between MW radiometry and rainfall rate through basic radiative transfer simulation of different precipitating cloud models. In this paper the primary analysis of the simulation is given, emphasizing the difference of the simulation results and their function to the remote sensing accuracy.
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