Atmospheric Soundings in Near-Real Time from Combined Satellite and Ground-Based Remotely Sensed Data

نویسندگان

  • JAMES COGAN
  • EDWARD MEASURE
  • DANIEL WOLFE
چکیده

A mobile profiling system has been developed that is capable of probing the atmosphere from the surface to over 30 km. The Mobile Profiling System (MPS) combines ground-based instruments, including a five-beam 924-MHz radar wind profiler, a radio acoustic sounding system, and two passive microwave sounders, with a receiver and processor for meteorological satellite data. Software in the MPS produces profiles from the surface to the highest satellite sounding level by combining surface data and profiles generated from the suite of groundbased sensors with those from a meteorological satellite. The algorithms generate soundings of temperature, humidity, wind velocity, and other meteorological variables. The method for combining data from the separate sources is not site specific and requires no a priori information. The MPS has the potential for a variety of applications, including detailed analysis of meteorological variables for research and operations over mesoscale areas, such as regional pollution studies and severe storm forecasting. This paper describes the method for merging data from satellite and ground-based remote sensing systems, and presents results from a series of field tests of both individual sensors and combined soundings. Accuracy of the combined soundings appears comparable to that from rawinsonde with the exception of wind velocity at satellite sounding altitudes. The MPS has operated successfully in several different climates: in the Los Angeles Free Radical Experiment at Claremont, California, and in tests at White Sands Missile Range, New Mexico; Erie, Colorado; Ft. Sill, Oklahoma; and Wallops Island, Virginia.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Coastal water quality assessment based on the remotely sensed water quality index using time series of satellite images

This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavy­metals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...

متن کامل

Spatiotemporal Estimation of PM2.5 Concentration Using Remotely Sensed Data, Machine Learning, and Optimization Algorithms

PM 2.5 (particles <2.5 μm in aerodynamic diameter) can be measured by ground station data in urban areas, but the number of these stations and their geographical coverage is limited. Therefore, these data are not adequate for calculating concentrations of Pm2.5 over a large urban area. This study aims to use Aerosol Optical Depth (AOD) satellite images and meteorological data from 2014 to 2017 ...

متن کامل

A New GIS based Application of Sequential Technique to Prospect Karstic Groundwater using Remotely Sensed and Geoelectrical Methods in Karstified Tepal Area, Shahrood, Iran

In this research, recognition of karstic water-bearing zones using the management of exploration data in Kal-Qorno valley, situated in the Tepal area of Shahrood, has been considered. For this purpose, the sequential exploration method was conducted using geological evidences and applying remote sensing and geoelectrical resistivity methods in two major phases including the regional and local s...

متن کامل

Improved near real time surface wind resolution over the Mediterranean sea

Several scientific programs, including the Mediterranean Forecasting System Toward Environmental Predictions (MFSTEP project), request high space and time resolutions of surface wind speed and direction. The purpose of this paper is to focus on surface wind improvements over the global Mediterranean Sea, based on the blending near real time remotely sensed wind observations and ECMWF wind analy...

متن کامل

Assessment of Drought Severity Using Vegetation Temperature Condition Index (VTCI) and Terra/MODIS Satellite Data in Rangelands of Markazi Province, Iran

The drought caused a series of effects on many sectors of economy, especially natural resources. During two last decades, Iran has suffered from several severe to extreme agricultural droughts which caused significant decreases in rangeland and agriculture yields. This paper discusses the detection of agricultural drought severity over the rangelands of Markazi Province between 2000 and 2014 us...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997