AI Helps Satellites Watch Plants Breathe, Revealing Hidden Irrigation from Space
Researchers have used a deep learning observation operator to assimilate daily TROPOMI sun-induced fluorescence measurements into the ISBA land surface ...
Tag: data assimilation
Weighing the World’s Snow: Satellites Track Northern Hemisphere Snowpack From Space
A new dataset fuses satellite gravity measurements with meteorological data to reconstruct two decades of snow water equivalent, depth, and ...
New Coupled Reanalysis Reconstructs 32 Years of Mediterranean Climate Change
Scientists have unveiled MESMAR-R, the first coupled atmosphere-ocean-hydrology reanalysis of the Mediterranean, reconstructing 32 years of rapid warming, salinification, and ...
Satellite Skin Temperature Gets a Memory Boost in Land Models Through Joint Soil Updates
Researchers have devised an ensemble-based scheme that jointly updates soil temperature and moisture, turning fleeting satellite land surface temperature observations ...
New 45-Year Precipitation Map of North America Blends Weather Models with Thousands of Rain Gauges
A new 45-year, high-resolution precipitation reanalysis for North America directly assimilates thousands of ground-station observations, outperforming major global datasets in ...
Sharper Ocean Models Catch More Eddies, New North Atlantic Study Shows
A new Ocean Science study shows that an eddy-resolving ocean reanalysis detects about 62 percent of satellite-observed North Atlantic mesoscale ...
New Ensemble Ocean Reanalysis LORA-QG Rivals Global Datasets While Adding Uncertainty Estimates
A new quasi-global ensemble ocean reanalysis, LORA-QG, matches established global products in accuracy while uniquely providing uncertainty estimates and full ...
Satellite Ocean Maps Face a Scale-Dependent Trade-Off, New SWOT Comparison Shows
A new comparison of three SWOT-derived ocean mapping products over the North Atlantic reveals a scale-dependent trade-off between large-scale accuracy ...
How Few Ensemble Members Does a Weather-Style Forecast Filter Really Need? Chaos Sets the Limit
A new study shows that the minimum ensemble size for accurate ensemble Kalman filtering of chaotic dynamics equals the number ...
Neural Networks Crack a Stubborn Problem in Ocean Carbon Modelling
A new deep learning framework dramatically improves the calibration of ocean biogeochemical models and the reconstruction of plankton dynamics despite ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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