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Title: Cloud Properties and Radiative Heating Rates for TWP

Abstract

A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associatedmore » VAPs.« less

Authors:
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences
Keywords:
Atmospheric moisture; Atmospheric temperature; Cloud location; Cloud optical depth; Cloud phase; Ice water path; Ice water content; Longwave broadband downwelling irradiance; Longwave broadband upwelling irradiance; Shortwave broadband total downwelling irradiance; Shortwave broadband total upwelling irradiance; Liquid water content; Liquid water path; Ozone Concentration; Precipitation; Radar reflectivity; Radiative heating rate; Surface albedo
OSTI Identifier:
1169506
DOI:
10.5439/1169506

Citation Formats

Comstock, Jennifer. Cloud Properties and Radiative Heating Rates for TWP. United States: N. p., 2013. Web. doi:10.5439/1169506.
Comstock, Jennifer. Cloud Properties and Radiative Heating Rates for TWP. United States. doi:10.5439/1169506.
Comstock, Jennifer. 2013. "Cloud Properties and Radiative Heating Rates for TWP". United States. doi:10.5439/1169506. https://www.osti.gov/servlets/purl/1169506. Pub date:Thu Nov 07 00:00:00 EST 2013
@article{osti_1169506,
title = {Cloud Properties and Radiative Heating Rates for TWP},
author = {Comstock, Jennifer},
abstractNote = {A cloud properties and radiative heating rates dataset is presented where cloud properties retrieved using lidar and radar observations are input into a radiative transfer model to compute radiative fluxes and heating rates at three ARM sites located in the Tropical Western Pacific (TWP) region. The cloud properties retrieval is a conditional retrieval that applies various retrieval techniques depending on the available data, that is if lidar, radar or both instruments detect cloud. This Combined Remote Sensor Retrieval Algorithm (CombRet) produces vertical profiles of liquid or ice water content (LWC or IWC), droplet effective radius (re), ice crystal generalized effective size (Dge), cloud phase, and cloud boundaries. The algorithm was compared with 3 other independent algorithms to help estimate the uncertainty in the cloud properties, fluxes, and heating rates (Comstock et al. 2013). The dataset is provided at 2 min temporal and 90 m vertical resolution. The current dataset is applied to time periods when the MMCR (Millimeter Cloud Radar) version of the ARSCL (Active Remotely-Sensed Cloud Locations) Value Added Product (VAP) is available. The MERGESONDE VAP is utilized where temperature and humidity profiles are required. Future additions to this dataset will utilize the new KAZR instrument and its associated VAPs.},
doi = {10.5439/1169506},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {11}
}

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