Identification

Title

Bayesian upscaling of aircraft ice measurements to two-dimensional domains for large-scale applications

Abstract

What is new in this manuscript is a method of using aircraft observations from a long horizontal path through an ice cloud to produce properly correlated 2D fields of particle counts consistent with the observations, including all null values, at several different sizes for use in algorithm development and in scientific studies. A Bayesian approach is used to define the distributions of average counts, P(C), at every size. These are, in turn, used to expand the number of values at each particle size by a factor of 50. These data, then fill a square 2D grid of 20 × 20 km at 100-m resolution. At each grid point, the number concentrations corresponding to each particle size define the particle size distributions (PSD). A method for assuring the proper correlation of counts at each size over the entire grid is devised and discussed. These PSD can then be integrated to yield a number of different quantities over the entire grid such as radar reflectivities and ice water contents. From this perspective, one can then consider the set of observations as just one realization from a much larger ensemble of possible realizations by giving fuller expression to all of the information contained within the observed correlation functions and P(C)s. The in situ observations, however, remain crucial since this method does not 'make-up' new meteorology but simply gives wider expression to the meteorology contained within the observations.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d751404b

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2014-01-01T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact