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Title: Raman lidar profiling of water vapor and aerosols over the ARM SGP Site

Abstract

The authors have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. The Raman lidar sytem is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols. These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. The authors have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize themore » clear sky atmospheric state above the CART site.« less

Authors:
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Energy Research (ER) (US)
OSTI Identifier:
750669
Report Number(s):
BNL-66954; KP120103
R&D Project: AS248ECD; TRN: AH200002%%29
DOE Contract Number:  
AC02-98CH10886
Resource Type:
Conference
Resource Relation:
Conference: Symposium on Atmospheric Chemistry Issues in the 21st Century, 80th AMS Annual Meeting, Long Beach, CA (US), 01/09/2000--01/14/2000; Other Information: PBD: 9 Jan 2000
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; WATER VAPOR; AEROSOL MONITORING; OPTICAL RADAR; ALGORITHMS; HUMIDITY; TEMPERATURE DISTRIBUTION; REMOTE SENSING; ATMOSPHERIC CHEMISTRY

Citation Formats

Ferrare, R A. Raman lidar profiling of water vapor and aerosols over the ARM SGP Site. United States: N. p., 2000. Web.
Ferrare, R A. Raman lidar profiling of water vapor and aerosols over the ARM SGP Site. United States.
Ferrare, R A. 2000. "Raman lidar profiling of water vapor and aerosols over the ARM SGP Site". United States. https://www.osti.gov/servlets/purl/750669.
@article{osti_750669,
title = {Raman lidar profiling of water vapor and aerosols over the ARM SGP Site},
author = {Ferrare, R A},
abstractNote = {The authors have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. The Raman lidar sytem is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols. These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. The authors have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.},
doi = {},
url = {https://www.osti.gov/biblio/750669}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 09 00:00:00 EST 2000},
month = {Sun Jan 09 00:00:00 EST 2000}
}

Conference:
Other availability
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