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After the great success of the Tropical Rainfall Measuring Mission (TRMM), Global Precipitation Measurement (GPM) started as an international mission and follow-on mission of the TRMM project to obtain more accurate and frequent observations of precipitation. The accurate measurement of precipitation will be achieved by the DPR installed on the GPM core satellite. In order to estimate accurate precipitation...
Dual polarization weather radars have brought in significant advancement to precipitation observation, as rainfall rate estimation, microphysical characterization, and hydrometeor classification. The improvements have been mostly demonstrated at S-band frequency where attenuation effects are usually negligible. In Europe C-band is largely adopted in operational and research radars because of larger...
Assessments on the performance of dual-frequency (13.6/35.5 GHz) precipitation radar (DPR) rain retrieval techniques are performed through simple vertical rain profiles synthesized with arbitrarily defined and disdrometer-measured raindrop size distribution (DSD) data. A DPR inversion technique (DPR-IT) with the estimates of differential attenuation (DA), which used to resolve the path-integrated...
One example of an application of EOS science data is the computation of aerodynamic roughness for momentum and its ultimate application to meteorological and atmospheric transport modeling. Currently, data products derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and other sensors such as Landsat and ASTER are being used to estimate vegetation and urban (non-vegetated) aerodynamic...
Many dual-frequency DSD retrieval algorithms have been proposed for space-borne radars. A self-consistent backward iterative algorithm, based on non-Rayleigh scattering has been studied recently[1][2][3]. This algorithm is based on a certain DSD model of rain, for which the attenuation caused by the ice or mixed-phase particles should be extracted accurately. Any error in the attenuation correction...
A method for detecting clutter in weather radar images by information fusion is presented. Radar data, satellite images, and output from a numerical weather prediction model are combined and the radar echoes are classified using supervised classification. The presented method uses indirect information on precipitation in the atmosphere from Meteosat-8 multispectral images and near-surface temperature...
Characterization of rain microphysics requires information on raindrop size distributions (DSDs). DSD measurements and retrievals, however, contain errors. In this paper, data from side-by-side disdrometer comparisons are presented to provide information that is not possible from single disdrometer measurements alone, allowing error effects to be quantified and a rain DSD model for radar retrieval...
Aerosol particles, water vapor and clouds are the three important factors that affect the signals received by sensors. To remove the aerosol effect, some methods have been developed. MODIS aerosol products provided by NASA are based on the Dark Dense Vegetation (DDV) algorithm. The Synergy of Terra and Aqua MODIS (SYNTAM) method is developed recently that can be used to retrieval aerosol optical thickness...
In this work, a method for determining the micro- and macro-physical properties of cirrus clouds from NOAA- AVHRR daylight imagery is presented. The combined use of the radiances measured by satellites and an atmospheric radiative transfer model makes possible to obtain cirrus properties, such as optical thickness, mean effective ice crystal size and temperature, through an inversion method. Due to...
A method for vicarious calibration of solar reflection channels of satellite based radiometer with a ground based measurements of refractive index and size distribution of aerosol is proposed. The method is applied to vicarious calibration of ASTER. The results show a validity of the method.
The main concerns of this paper are the effects of sub- grid convection and wet deposition on dust distribution in the atmosphere. A theoretic framework and a numerical scheme are developed for parameterization of convective dust transport. A new parameterization scheme for wet deposition arising from below cloud scavenging is also developed. The new convective dust transport scheme and wet deposition...
Temperature inversion indicates that the atmospheric temperature decreases with increasing height. Its occurrence tends to inhibit vertical motion of the atmosphere. Under the occurrence of temperature inversion, air pollutants cannot be dissipated through vertical mixing of the atmosphere and are accumulated near the surface. When temperature inversion lasts for a long time, human health can be in...
The CASA NSF ERC is using cutting edge radar technology to create a network of short range weather radar to observe the lower regions of the atmosphere that are currently out of sight. Range oversampling and whitening is one of the newest technologies available for increasing the accuracy of weather radar moment estimates. The CASA mission has incorporated range oversampling into the design of one...
This paper describes how the synchronization and networking capabilities of the transmit and receive chain used at the CSU-CHILL and CSU-Pawnee radars are used to form a bistatic radar system capable of observing clear air echoes from atmospheric boundary layer. An overview of the bistatic radar geometry and resolution volume are presented, along with a discussion of the methods used to achieve timing...
The first testbed of X-band radar systems deployed by the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA), in central Oklahoma called IP-1 (Integrated Project 1) will have a low unambiguous velocity due to their short wavelength, and increasing the PRF will result in multiple trip overlays since storms can extend over a large distance. The range-velocity ambiguity is more severe...
SCIAMACHY on ENVISAT has now successfully operated more than 4 years in space. The current in-flight performance of the instrument shows an excellent status with only a few minor in-flight non-conformances. A large volume of high quality scientific data has been acquired with results being retrieved covering many aspects of the changing Earth's atmosphere. In this paper a brief overview of SCIAMACHY...
During the past decade, the ability to determine detailed information of ocean surface wind from Synthetic Aperture Radar (SAR) has been generally accepted. It is expected that SAR will provide all-day and all-weather wind parameters with high spatial resolution and high accuracy, which would provide valuable data to marine weather forecasters and SAR model designers. However, the methodology for...
Aerosol particles in the atmosphere can affect climate directly by interacting with solar and terrestrial radiation and indirectly by their effect on cloud microphysics, albedo, and precipitation. The atmospheric aerosol products have been derived operationally from multi-channel imaging data collected with the moderate resolution imaging spectroradiometers (MODIS) on board the NASA Terra and aqua...
An aerosol retrieval algorithm is currently under development in scope of the upcoming APEX hyperspectral imager. It will be able to close the gap between global remote sensing and one-dimensional in situ measurements of atmospheric particles. This paper presents a feasibility study of the proposed APEX aerosol retrieval approach for hyperspectral imagery with high spatial resolution. The extraction...
In this article we present a hybrid methodology between Remote Sensing and Geographical Information Systems to retrieve instantaneous, mean, maximum and minimum air temperatures for daily, monthly and annual periods between 2000 and 2005 on a regional scale (Catalonia, North-West Spain) by means of multiple regression analysis and spatial interpolation techniques. Best air temperature models are obtained...
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