Identification

Title

Surface seawater concentration of acetone: monthly climatology

Abstract

Acetone is one of the most abundant oxygenated volatile organic compounds (VOCs) in the atmosphere. The oceans impose a strong control on atmospheric acetone, yet the oceanic fluxes of acetone remain poorly constrained. The air-sea exchange of acetone is largely controlled by the surface seawater concentration of acetone. This dataset consists of the surface seawater concentration of acetone, predicted by an observationally trained machine-learning algorithm (random forest). The observationally trained machine-learning algorithm is discussed in Wang et al. (2019). The training dataset includes ship-borne observations from a number of previous studies: Yang et al. (2014a); Yang et al. (2014b); Dixon et al. (2014); Beale et al. (2013); Kameyama et al. (2010); Hudson et al. (2007); Marandino et al. (2005); Marandino et al. (Knorr06). This dataset is in 0.9*1.25 (degree*degree) horizontal resolution (finite volume), and can be used to calculate the bi-directional air-sea exchange of acetone.

Resource type

dataset

Resource locator

https://gdex.ucar.edu/dataset/id/07f089eb-fcd8-4fd0-9a0d-38b45cedd9dc.html

protocol: https

applicationProfile: browser

name: Surface seawater concentration of acetone: monthly climatology

description: Metadata Link

function: download

Unique resource identifier

code

codeSpace

Dataset language

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

Keywords

Keyword set

keyword value

Dataset

originating controlled vocabulary

title

reference date

date type

revision

effective date

2014-10-16

Keyword set

keyword value

EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > NON-METHANE HYDROCARBONS/VOLATILE ORGANIC COMPOUNDS

EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON

originating controlled vocabulary

title

reference date

date type

revision

effective date

2018-03-15

Geographic location

West bounding longitude

-180.0

East bounding longitude

180.0

North bounding latitude

90.0

South bounding latitude

-90.0

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2020-07-06

date type

modified

effective date

2020-07-01

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

application/x-netcdf

version of format

Constraints related to access and use

Constraint set

Use constraints

Creative Commons Attribution 4.0 International License.

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory

email address

siyuan@ucar.edu

responsible party role

pointOfContact

Responsible party

organisation name

UCAR/NCAR - Atmospheric Chemistry Observations and Modeling Laboratory

email address

emmons@ucar.edu

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

organisation name

UCAR/NCAR - GDEX

email address

datahelp@ucar.edu

responsible party role

pointOfContact

Metadata date

2022-07-21T12:01:35-06:00

Metadata language