SBU Ceilometers IMPACTS V1

Metadata Updated: November 12, 2020

The SBU Ceilometers IMPACTS dataset includes ceilometer cloud height measurements collected by the Vaisala CL51, Vaisala CT25K, and Lufft Ceilometer CHM 15k ceilometers operated by the State University of New York (SUNY) Stony Brook University. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The ceilometer dataset files are available from January 1 through February 27, 2020 in netCDF-3 format.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Unique Identifier Unknown
Identifier C1933702836-GHRC_CLOUD
Data First Published 2020-08-03
Language en-US
Data Last Modified 2020-09-16
Category IMPACTS, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Citation Kollias, Pavlos and Mariko Oue.2020. SBU Ceilometers IMPACTS indicate subset used. Dataset available online from the NASA Global Hydrology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI:
Homepage URL
Metadata Type geospatial
Program Code 026:001
Source Datajson Identifier True
Source Hash 825f0d24a9e6de8e5162b11d40edbb392d0b7b22
Source Schema Version 1.1
Spatial -73.1278 40.8967 -73.0297 40.9653
Temporal 2020-01-01T00:00:00Z/2020-02-27T23:59:47Z

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