High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar

A better understanding of Arctic cloud and aerosol properties, structure and formation is essential to understand the specific response of the Arctic in the context of global climate change. A lack of coherent high vertical and temporal resolution observations of cloud particles, aerosols moisture a...

Full description

Bibliographic Details
Main Author: Jeffrey Thayer
Format: Dataset
Language:unknown
Published: Arctic Data Center 2015
Subjects:
AON
Online Access:https://search.dataone.org/view/urn:uuid:1ba08208-132f-4582-837e-cb637192db78
id dataone:urn:uuid:1ba08208-132f-4582-837e-cb637192db78
record_format openpolar
spelling dataone:urn:uuid:1ba08208-132f-4582-837e-cb637192db78 2023-11-08T14:14:16+01:00 High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar Jeffrey Thayer ENVELOPE(-38.1,-38.1,72.55,72.55) BEGINDATE: 2013-09-01T00:00:00Z ENDDATE: 2015-11-06T09:08:07Z https://search.dataone.org/view/urn:uuid:1ba08208-132f-4582-837e-cb637192db78 unknown Arctic Data Center AON Dataset 2015 dataone:urn:node:ARCTIC 2023-11-08T13:37:46Z A better understanding of Arctic cloud and aerosol properties, structure and formation is essential to understand the specific response of the Arctic in the context of global climate change. A lack of coherent high vertical and temporal resolution observations of cloud particles, aerosols moisture advection (i.e. water vapor) and thermodynamics, creates large uncertainties in current model estimates of cloud properties and inhibits our understanding of cloud radiative and precipitation impacts on the surface. As a result, current weather and climate models poorly parameterize clouds over the Arctic and more specifically over the Greenland Ice Sheet (GIS). A reduction in this uncertainty is particularly important above the GIS, where clouds act as sinks and sources to the ice mass balance by modulating the surface radiation budget and available precipitable water. To gain the understanding necessary to reduce this uncertainty, a new autonomous multi-wavelength, polarized Raman lidar is proposed for development and deployment at the NSFʼs observatory in Summit, Greenland. The new lidar observations will employ multiple wavelengths and polarizations to observe elastic and inelastic scattering from the Arctic atmosphere enabling regular retrieval of temperature, water vapor and extinction profiles. This combination of observational capability will create a coherent dataset of high-resolution thermodynamic, cloud and aerosol observations through the Arctic troposphere and lower stratosphere above Summit. Broadly, this addition to the NSF Observatory at Summit, Greenland as part of the larger Arctic Observing Network fits well within the Study of Environmental Arctic Change (SEARCH) implementation plan. Thus, this instrument will significantly enhance Arctic observing infrastructure and advance observations and understanding of change in the Arctic. The proposed instrumentation and observations are the first of their kind on the GIS and will expand the existing, although modest, network of such measurements across the Arctic. This project will also provide a unique experience and educational opportunity through the combination of fieldwork and subsequent data processing for graduate students at the University of Colorado. Dataset Arctic Climate change Greenland High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar Ice Sheet Study of Environmental Arctic Change Arctic Data Center (via DataONE) Arctic Greenland ENVELOPE(-38.1,-38.1,72.55,72.55)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
topic AON
spellingShingle AON
Jeffrey Thayer
High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
topic_facet AON
description A better understanding of Arctic cloud and aerosol properties, structure and formation is essential to understand the specific response of the Arctic in the context of global climate change. A lack of coherent high vertical and temporal resolution observations of cloud particles, aerosols moisture advection (i.e. water vapor) and thermodynamics, creates large uncertainties in current model estimates of cloud properties and inhibits our understanding of cloud radiative and precipitation impacts on the surface. As a result, current weather and climate models poorly parameterize clouds over the Arctic and more specifically over the Greenland Ice Sheet (GIS). A reduction in this uncertainty is particularly important above the GIS, where clouds act as sinks and sources to the ice mass balance by modulating the surface radiation budget and available precipitable water. To gain the understanding necessary to reduce this uncertainty, a new autonomous multi-wavelength, polarized Raman lidar is proposed for development and deployment at the NSFʼs observatory in Summit, Greenland. The new lidar observations will employ multiple wavelengths and polarizations to observe elastic and inelastic scattering from the Arctic atmosphere enabling regular retrieval of temperature, water vapor and extinction profiles. This combination of observational capability will create a coherent dataset of high-resolution thermodynamic, cloud and aerosol observations through the Arctic troposphere and lower stratosphere above Summit. Broadly, this addition to the NSF Observatory at Summit, Greenland as part of the larger Arctic Observing Network fits well within the Study of Environmental Arctic Change (SEARCH) implementation plan. Thus, this instrument will significantly enhance Arctic observing infrastructure and advance observations and understanding of change in the Arctic. The proposed instrumentation and observations are the first of their kind on the GIS and will expand the existing, although modest, network of such measurements across the Arctic. This project will also provide a unique experience and educational opportunity through the combination of fieldwork and subsequent data processing for graduate students at the University of Colorado.
format Dataset
author Jeffrey Thayer
author_facet Jeffrey Thayer
author_sort Jeffrey Thayer
title High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
title_short High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
title_full High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
title_fullStr High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
title_full_unstemmed High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
title_sort high resolution, active remote sensing of cloud microphysics at summit, greenland with polarized raman lidar
publisher Arctic Data Center
publishDate 2015
url https://search.dataone.org/view/urn:uuid:1ba08208-132f-4582-837e-cb637192db78
op_coverage ENVELOPE(-38.1,-38.1,72.55,72.55)
BEGINDATE: 2013-09-01T00:00:00Z ENDDATE:
long_lat ENVELOPE(-38.1,-38.1,72.55,72.55)
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
Climate change
Greenland
High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
Ice Sheet
Study of Environmental Arctic Change
genre_facet Arctic
Climate change
Greenland
High Resolution, Active Remote Sensing of Cloud Microphysics at Summit, Greenland with Polarized Raman Lidar
Ice Sheet
Study of Environmental Arctic Change
_version_ 1782012555163598848