← Search

Data · dataset · 2026

The remote sensing of radiative forcing by light-absorbing particles (LAPs) in seasonal snow over northeastern China

Listed in National Center for Atmospheric Research

Light-absorbing particles (LAPs) deposited on snow can decrease snow albedo and affect climate through snow-albedo radiative forcing.

Description

In this study, we use MODIS observations combined with a snow-albedo model (SNICAR – Snow, Ice, and Aerosol Radiative) and a radiative transfer model (SBDART – Santa Barbara DISORT Atmospheric Radiative Transfer) to retrieve the instantaneous spectrally integrated radiative forcing at the surface by LAPs in snow (RFLAPsMODIS) under clear-sky conditions at the time of MODIS Aqua overpass across northeastern China (NEC) in January–February from 2003 to 2017.

RFLAPsMODIS presents distinct spatial variability, with the minimum (22.3 W m−2) in western NEC and the maximum (64.6 W m−2) near industrial areas in central NEC. The regional mean RFLAPsMODIS is ∼45.1±6.8 W m−2 in NEC. The positive (negative) uncertainties of retrieved RFLAPsMODIS due to atmospheric correction range from 14 % to 57 % (−14 % to −47 %), and the uncertainty value basically decreases with the increased RFLAPsMODIS.

Read the rest (2 more)

We attribute the variations of radiative forcing based on remote sensing and find that the spatial variance of RFLAPsMODIS in NEC is 74.6 % due to LAPs and 21.2 % and 4.2 % due to snow grain size and solar zenith angle. Furthermore, based on multiple linear regression, the BC dry and wet deposition and snowfall could explain 84 % of the spatial variance of LAP contents, which confirms the reasonability of the spatial patterns of retrieved RFLAPsMODIS in NEC.

We validate RFLAPsMODIS using in situ radiative forcing estimates. We find that the biases in RFLAPsMODIS are negatively correlated with LAP concentrations and range from ∼5 % to ∼350 % in NEC.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Research19744b10-c612-4976-b6a1-2cdbb795da9013 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (65%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0