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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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A general methodology for establishing and testing remote sensing inversion procedures has yielded a simple procedure for inverting BUV radiances.
Equations are presented for calculating power law exponents from wind speed and surface roughness data. Results are evaluated by comparison with wind profile data measured at a variety of sites.
In an investigation of windpower plant siting, equations are presented and evaluated for a wind profile model which incorporates both roughness and wind speed effects, while retaining the basic simplicity of the Hellman power law. These equations recognize the statistical nature of wind profiles and are compatible with existing analytical models and recent wind profile data. Predictions of energy output based on the proposed profile equations are 10% to 20% higher than those made with the 1/7 power law. In addition, correlation between calculated and observed blade loads is significantly better at higher wind speeds when the proposed wind profile model is used than when a constant power model is used.
A description is provided of the algorithm used by the Ozone Processing Team at NASA to process seven years of Backscatter Ultraviolet (BUV) ozone profile data. The algorithm is a modification of the original retrieval algorithm developed by Mateer (1972) to process some of the early data from the BUV experiment. Principal changes made are in the first guess selection scheme, the use of all wavelengths in the inversion, and the weighting of the various wavelengths according to the errors in the radiance estimation. It is found that the described BUV ozone profile algorithm is an extremely efficient algorithm for retrieving large amounts of satellite data. The algorithm makes full use of all the available information from the measured radiances including the longer wavelength radiances which previously had not been used.
An inversion algorithm is presented, which is used to process Nimbus-7 solar backscattered UV (SBUV) data collected between November 1978 and October 1980. The SBUV experiment utilizes a double monochromator in the nadir position which measures the backscattered solar radiation in twelve 1-nm bands; a separate photometer measures the radiance at 343.0 nm in the field of view coincident with the monochromator. The primary output of the inversion is the total ozone content in umkehr layers in units of m atm cm. In addition, the diagonal elements of the covariance matrix are reported; they represent the uncertainty in the derived ozone content in each layer. The solution covariance is noted to be independent of the measurements.
The vertical profiles of nitric acid were measured over Poker Flat, Alaska, in August 1984 and January and February 1985 using a rocket-launched parachute-deployed chemiluminescence sensor. Results for the altitude range 35-45 km indicate a large seasonal variation, with wintertime mixing ratios being a factor of two above summer values. The winter profiles contain sharp positive vertical gradients persisting through the highest altitudes observed. Above the stratopause, the mixing ratio observed in February increases rapidly and between 52 and 53 km reaches 148.9 ppbv, an order of magnitude greater than typical mid-latitude values measured with this instrument. Such behavior is consistent with the idea that nitric oxide produced at greater altitudes reaches the high-latitude upper stratosphere or lower mesosphere in winter. The results support the existence of a vertical coupling between diverse regions of the atmosphere in the high-latitude winter.
This paper briefly reviews several single-frequency rain profiling methods for an airborne or spaceborne radar. The authors describe the different methods from a unified point of view starting from the basic differential equation. This facilitates the comparisons between the methods and also provides a better understanding of the physical and mathematical basis of the methods. The application of several methods to airborne radar data taken during the Convective and Precipitation/Electrification Experiment is shown. Finally, the authors consider a hybrid method that provides a smooth transition between the Hitschfeld-Bordan method, which performs well at low attenuations, and the surface reference method, for which the relative error decreases with increasing path attenuation.
The ozone profiles measured with the halogen occultation experiment (HALOE) instrument and the microwave limb sounder (MLS) instrument, on NASA's upper atmosphere research satellite (UARS), are compared to those obtained with the electrochemical concentration cell (ECC) ozone sonde. The process used to assure the quality of the ozone sonde measurements, the comparisons between the ozone sonde and other measuring instruments, and the reliability of measurements in space are discussed.
Ozonesonde measurement quality is a critical factor for insuring measurement accuracy and is fundamentally indispensable for validating remotely measured ozone. Reasonable results from such ozone profile comparisons are best obtained by maintaining the smallest possible spatial and time differences between ozonesonde and remote measurement observations. Ozone profiles measured with the Halogen Occultation Experiment (HALOE) instrument and the Microwave Limb Sounder (MLS) instrument on NASA's Upper Atmosphere Research Satellite (UARS) are compared with ECC profiles. Comparisons with the GSFC ozone lidar also demonstrate good agreement. In this paper we show: (1) the process used by NASA to secure quality ozonesonde measurements, (2) comparisons of ozonesondes with various remote sensing instruments and, (3) the reliability obtained when both measurement types are obtained close in time and, when possible, in space.
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It is easy to understand heuristically why single-frequency spaceborne radar measurements, by themselves, are not sufficient to solve the inverse problem of retrieving an exact underlying rain-rate profile.
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Major uncertainties exist for observing and modeling ice content inside deep convective clouds (DCC). One of the difficulties has been the lack of characterization of vertical profiles of cloud hydrometeor phase. Here we propose a technique to estimate the DCC glaciation temperature using passive remote sensing data. It is based on a conceptual model of vertical hydrometeor size profiles inside DCCs. Estimates from the technique agree well with our general understanding of the problem. Furthermore, the link between vertical profiles of cloud particle size and hydrometeor thermodynamic phase is confirmed by a 3-13 cloud retrieval technique. The technique is applied to aircraft measurements of cloud side reflectance and the result was compared favorably with an independent retrieval of thermodynamic phase based on different refractive indices at 2.13 micron and 2.25 micron. Possible applications of the technique are discussed.
This dataset contains vertical profiling lidar data from AWAKEN site A1. This is the ZephIR300 #773 lidar system. The .csv files are monthly data files with 10-min average data. The .zip files are daily high frequency data and zipped by month.
Global measurements of aerosol vertical profile, composition, concentration, and size distribution are very important due to aerosol impacts on air quality, climate, clouds, and ocean ecosystems. We have developed a lidar-only and combined lidar and polarimeter algorithm to retrieve vertically-resolved profiles of aerosol microphysical properties. The new retrieval system is modular in design. It consists of three modules, a vertically-resolved aerosol profile retrieval module for lidar data, an aerosol and cloud/ocean retrieval module for polarimeter data, and a combined retrieval module for both lidar and polarimeter measurements. In addition to performing optimal estimation retrievals on various data sources, we have designed the system so that it can be used to carry out aerosol retrieval performance trade studies for various lidar and polarimeter configurations. For example, the retrieval system can take inputs from attenuated backscatter lidar at two wavelengths (e.g. CALIPSO like instrument), aerosol backscattering measured at two wavelengths and and aerosol extinction measured at one wavelength (HSRL-1), or aerosol backscattering measured at three wavelengths and aerosol extinction measured at two wavelengths (HSRL-1) (HSRL-2). We have applied the lidar-only algorithm to both simulated data and various field campaign data (DISCOVER-AQ, CHARMS, TCAP, and ORACLES). For polarimeter-only modules, we have done the same for SABOR, TCAP, NAAMES, and ORACLES data. We have applied the combined retrieval algorithm to ORACLES data. The simulated retrieval studies show that the combined lidar+polarimeter retrieval provides much higher information content relative to their individual counterparts for retrieving effective radius, particle concentrations, and absorption properties.
Global distributions, sources, and sinks of methane and carbon monoxide in upper and lower levels of the earth's atmosphere, and the global budgets of methane and carbon monoxide, are studied, with emphasis on cumulative pollution. Stratospheric contents, vertical profiles of concentrations, simulation of vertical transport through the atmosphere, and latitudinal distributions are examined. Diffuse and localized (urban) concentrations of CO as pollutant are studied, and anthropogenic sources and sinks for CH4 and CO are considered. Perturbation of the CH4-CO-CO2 cycle, crucial to self-cleansing mechanisms of the troposphere, by anthropogenic CO emissions, and the effect of CO long life as global pollutant, are investigated.