Identification

Title

Impact of assimilating meteorological observations on source emissions estimate and chemical simulations

Abstract

The impacts of assimilating meteorological observations on source emissions estimate and chemical simulations are investigated. Using 6-hr Global Forecast System (GFS) analyses or cycling ensemble assimilation of meteorological observations have similar diurnal variations of source emissions. Compared to experiment without meteorological analyses, using 6-hr GFS analyses provides stronger diurnal variations of SO2 and NO emissions, and cycling ensemble assimilation of meteorological observations further strengthens the diurnal variations. When independently verified against the observed PM2.5, SO2, and NO2 concentrations, simulation forced by posterior source emissions with 6-hr GFS analyses produces smaller biases and errors than simulation forced by posterior source emissions without meteorological analyses. The biases and errors are generally further reduced with cycling ensemble assimilation of meteorological fields. Therefore, the advantages of cycling ensemble assimilation of meteorological observations to provide realistic meteorological fields and construct flow-dependent uncertainties of meteorological fields for estimating source emissions and chemical simulations have been demonstrated.

Resource type

document

Resource locator

Unique resource identifier

code

http://n2t.net/ark:/85065/d7cn776b

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

2020-10-28T00:00:00Z

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