Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration
by
Lin, Hangjie
, Gao, Shu
, Fichot, Cédric G
, Wang, Aijun
, Yu, Qian
, Wang, Yunwei
in
Algorithms
/ Bias
/ Climate
/ Climate models
/ Cloud cover
/ Cloudiness
/ Coastal environments
/ Coastal zones
/ Connectors
/ Couplings
/ Datasets
/ Ecological function
/ Estimates
/ Remote sensing
/ Satellites
/ Sediment
/ Sediment concentration
/ Sediment transport
/ Sediments
/ Suspended sediments
/ Wave energy
/ Weather
2026
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration
by
Lin, Hangjie
, Gao, Shu
, Fichot, Cédric G
, Wang, Aijun
, Yu, Qian
, Wang, Yunwei
in
Algorithms
/ Bias
/ Climate
/ Climate models
/ Cloud cover
/ Cloudiness
/ Coastal environments
/ Coastal zones
/ Connectors
/ Couplings
/ Datasets
/ Ecological function
/ Estimates
/ Remote sensing
/ Satellites
/ Sediment
/ Sediment concentration
/ Sediment transport
/ Sediments
/ Suspended sediments
/ Wave energy
/ Weather
2026
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration
by
Lin, Hangjie
, Gao, Shu
, Fichot, Cédric G
, Wang, Aijun
, Yu, Qian
, Wang, Yunwei
in
Algorithms
/ Bias
/ Climate
/ Climate models
/ Cloud cover
/ Cloudiness
/ Coastal environments
/ Coastal zones
/ Connectors
/ Couplings
/ Datasets
/ Ecological function
/ Estimates
/ Remote sensing
/ Satellites
/ Sediment
/ Sediment concentration
/ Sediment transport
/ Sediments
/ Suspended sediments
/ Wave energy
/ Weather
2026
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration
Journal Article
Global Fair‐Weather Bias in Remotely Sensed Coastal Suspended Sediment Concentration
2026
Request Book From Autostore
and Choose the Collection Method
Overview
Satellite estimates of suspended‐sediment concentration (SSC) are widely used to understand ecosystem functions and resilience of coastal environments. Yet, they rely largely on fair‐weather observations. Combining continuous in situ time series with multi‐decadal satellite records and reanalysis products, we quantify a systematic fair‐weather bias that misrepresents coastal SSC in both magnitude and sign. Negative biases dominate where cloudy conditions coincide with energetic sediment mobilization, causing satellites to miss high‐SSC events and underestimate long‐term means by up to ∼20%. In contrast, positive biases arise where clear‐sky conditions align with elevated wave energy. Bias magnitude and direction are driven by local couplings among cloud cover, wave energy and sediment mobilization, enabling prediction and correction. Climate‐model projections indicate only modest changes in cloudiness over this century, suggesting the bias will persist in the future. Ignoring fair‐weather limitations distorts sediment budgets and biogeochemical fluxes, underscoring the need for bias‐aware algorithms in global coastal assessments.
This website uses cookies to ensure you get the best experience on our website.