A review of self-organizing map applications in meteorology and oceanography
Y Liu, RH Weisberg - Self-organizing maps: applications and …, 2011 - books.google.com
Coupled ocean-atmosphere science steadily advances with increasing information obtained
from long-records of in situ observations, multiple-year archives of remotely sensed satellite …
from long-records of in situ observations, multiple-year archives of remotely sensed satellite …
Synthetic aperture radar for geosciences
Abstract Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …
geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide …
Relationship between wind speed and gas exchange over the ocean revisited
R Wanninkhof - Limnology and Oceanography: Methods, 2014 - Wiley Online Library
The relationship between gas exchange and wind speed is used extensively for estimating
bulk fluxes of atmospheric gases across the air‐sea interface. Here, I provide an update on …
bulk fluxes of atmospheric gases across the air‐sea interface. Here, I provide an update on …
Recent variability of the global ocean carbon sink
P Landschützer, N Gruber, DCE Bakker… - Global …, 2014 - Wiley Online Library
We present a new observation‐based estimate of the global oceanic carbon dioxide (CO2)
sink and its temporal variation on a monthly basis from 1998 through 2011 and at a spatial …
sink and its temporal variation on a monthly basis from 1998 through 2011 and at a spatial …
The quiet crossing of ocean tipping points
C Heinze, T Blenckner, H Martins… - Proceedings of the …, 2021 - National Acad Sciences
Anthropogenic climate change profoundly alters the ocean's environmental conditions,
which, in turn, impact marine ecosystems. Some of these changes are happening fast and …
which, in turn, impact marine ecosystems. Some of these changes are happening fast and …
Global ocean carbon uptake: magnitude, variability and trends
R Wanninkhof, GH Park, T Takahashi… - …, 2013 - bg.copernicus.org
The globally integrated sea–air anthropogenic carbon dioxide (CO 2) flux from 1990 to 2009
is determined from models and data-based approaches as part of the Regional Carbon …
is determined from models and data-based approaches as part of the Regional Carbon …
A comparative assessment of the uncertainties of global surface ocean CO2 estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit …
Over the last decade, advanced statistical inference and machine learning have been used
to fill the gaps in sparse surface ocean CO2 measurements (Rödenbeck et al., 2015). The …
to fill the gaps in sparse surface ocean CO2 measurements (Rödenbeck et al., 2015). The …
Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system
A globally integrated carbon observation and analysis system is needed to improve the
fundamental understanding of the global carbon cycle, to improve our ability to project future …
fundamental understanding of the global carbon cycle, to improve our ability to project future …
A machine learning approach to estimate surface ocean pCO2 from satellite measurements
Surface seawater partial pressure of CO 2 (pCO 2) is a critical parameter in the
quantification of air-sea CO 2 flux, which further plays an important role in quantifying the …
quantification of air-sea CO 2 flux, which further plays an important role in quantifying the …
[HTML][HTML] LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean over the global ocean
A Denvil-Sommer, M Gehlen, M Vrac… - Geoscientific Model …, 2019 - gmd.copernicus.org
A new feed-forward neural network (FFNN) model is presented to reconstruct surface ocean
partial pressure of carbon dioxide (p CO 2) over the global ocean. The model consists of two …
partial pressure of carbon dioxide (p CO 2) over the global ocean. The model consists of two …