Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …
and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical …
Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane
We review the capability of current and scheduled satellite observations of atmospheric
methane in the shortwave infrared (SWIR) to quantify methane emissions from the global …
methane in the shortwave infrared (SWIR) to quantify methane emissions from the global …
Satellite observations of atmospheric methane and their value for quantifying methane emissions
Methane is a greenhouse gas emitted by a range of natural and anthropogenic sources.
Atmospheric methane has been measured continuously from space since 2003, and new …
Atmospheric methane has been measured continuously from space since 2003, and new …
[HTML][HTML] Estimating emissions of methane consistent with atmospheric measurements of methane and C of methane
We have constructed an atmospheric inversion framework based on TM5-4DVAR to jointly
assimilate measurements of methane and δ 13 C of methane in order to estimate source …
assimilate measurements of methane and δ 13 C of methane in order to estimate source …
A 15-year record of CO emissions constrained by MOPITT CO observations
Long-term measurements from satellites and surface stations have demonstrated a
decreasing trend of tropospheric carbon monoxide (CO) in the Northern Hemisphere over …
decreasing trend of tropospheric carbon monoxide (CO) in the Northern Hemisphere over …
SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017
SO2 column densities from Ozone Monitoring Instrument provide important information on
emission trends and missing sources, but there are discrepancies between different retrieval …
emission trends and missing sources, but there are discrepancies between different retrieval …
A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources
We interpret space-borne observations from the TROPOspheric Monitoring Instrument
(TROPOMI) in a multi-inversion framework to characterize the 2018–2019 global methane …
(TROPOMI) in a multi-inversion framework to characterize the 2018–2019 global methane …
Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis
We develop an approach combining mass balance and four‐dimensional variational (4D‐
Var) methods to facilitate inversion of decadal‐scale total nitrogen oxides (NOx= NO+ NO2) …
Var) methods to facilitate inversion of decadal‐scale total nitrogen oxides (NOx= NO+ NO2) …
Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation
M Bocquet - Frontiers in Applied Mathematics and Statistics, 2023 - frontiersin.org
The outstanding breakthroughs of deep learning in computer vision and natural language
processing have been the horn of plenty for many recent developments in the climate …
processing have been the horn of plenty for many recent developments in the climate …
Global and brazilian carbon response to El Niño Modoki 2011–2010
KW Bowman, J Liu, AA Bloom… - Earth and Space …, 2017 - Wiley Online Library
The El Niño Modoki in 2010 led to historic droughts in Brazil. In order to understand its
impact on carbon cycle variability, we derive the 2011–2010 annual carbon flux change …
impact on carbon cycle variability, we derive the 2011–2010 annual carbon flux change …