Machine Learning Reveals Hidden Bias in ERA5 Cloud Heights Over Earth's Third Pole
Abstract Accurate cloud base height (CBH) over the Tibetan Plateau—Earth's Third Pole—is essential for monsoon dynamics, glacial melt, and water security, yet ERA5 systematically underestimates it. Here, we present a two‐step machine learning framework to mitigate this hidden bias.
W. Zhao +9 more
wiley +1 more source
Evaluation of MODIS and VIIRS Cloud-Gap-Filled Snow-Cover Products for Production of an Earth Science Data Record [PDF]
MODerate resolution Imaging Spectroradiometer (MODIS) cryosphere products have been available since 2000 following the 1999 launch of the Terra MODIS and the 2002 launch of the Aqua MODIS and include global snow-cover extent (SCE) (swath, daily, and 8 ...
DiGirolamo, Nicolo E. +3 more
core +1 more source
Capturing Antarctic Precipitation With a 3D Atmospheric River Algorithm
Abstract Atmospheric rivers (ARs) typically lead to intense precipitation and play an essential role in the Antarctic ice surface mass balance. Their detection in the Antarctic region is challenging, preventing consistent evaluation of their role at a global scale.
K. Takahashi +4 more
wiley +1 more source
Snow cover plays an important role in meteorological and hydrological researches. However, the accuracies of currently available snow cover products are significantly lower in mountainous areas than in plains, due to the serious snow/cloud confusion problem caused by high altitude and complex topography.
Xi Kan +6 more
openaire +1 more source
Heterogeneous Responses of High‐Latitude Forest Productivity to Interannual Climate Variability
Abstract Amplified warming has altered the phenology and structure of high‐latitude forests, yet their carbon uptake responses to environmental variations remain uncertain. Using satellite observations of solar‐induced chlorophyll fluorescence (SIF), we quantify interannual variations in growing‐season (GS) productivity of these forests and their ...
Ke Liu +4 more
wiley +1 more source
Abstract Recent progress in constraining the atmosphere's primary oxidant, the hydroxyl radical (OH), with machine learning (ML) and satellite data raises the intriguing possibility of also constraining individual OH chemical production and loss terms.
Daniel C. Anderson +5 more
wiley +1 more source
Observational evidence for the convective transport of dust over the central United States [PDF]
Bulk aerosol composition and aerosol size distributions measured aboard the DC-8 aircraft during the Deep Convective Clouds and Chemistry Experiment mission in May/June 2012 were used to investigate the transport of mineral dust through nine storms ...
Anderson, B. E. +15 more
core +3 more sources
Abstract The National Air Quality Forecast Capability (NAQFC) provides numerical forecasting guidance of air quality up to 72 hr ahead over the United States. In this study, we evaluate the changes in its prediction skills by updating the Community Multiscale Air Quality (CMAQ) modeling system from version 5.3.1 to 5.4 and utilizing a high‐resolution 1‐
Kiarash Farzad +13 more
wiley +1 more source
TWINLATIN: Twinning European and Latin-American river basins for research enabling sustainable water resources management. Combined Report D3.1 Hydrological modelling report and D3.2 Evaluation report [PDF]
Water use has almost tripled over the past 50 years and in some regions the water demand already exceeds supply (Vorosmarty et al., 2000). The world is facing a “global water crisis”; in many countries, current levels of water use are unsustainable ...
Alcoz, S. +11 more
core
ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia [PDF]
Indonesian peatlands are one of the largest near-surface pools of terrestrial organic carbon. Persistent logging, drainage and recurrent fires lead to huge emission of carbon each year.
Anderson +18 more
core +2 more sources

