A novel observationally constrained probabilistic trigger for mesoscale convective systems improves spatiotemporal scales of tropical precipitation and ensemble spread in NWP models compared to prior MCSP schemes.
A global high-resolution mesoscale convective system database using satellite-derived cloud tops, surface precipitation, and tracking
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
physics.ao-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
GPROF-IR is a CNN-based retrieval that uses temporal context in geostationary IR observations to produce precipitation estimates with lower error than prior IR methods and climatological consistency with PMW retrievals for integration into IMERG V08.
citing papers explorer
-
An observationally constrained probabilistic trigger for organized deep convection in an NWP ensemble
A novel observationally constrained probabilistic trigger for mesoscale convective systems improves spatiotemporal scales of tropical precipitation and ensemble spread in NWP models compared to prior MCSP schemes.
-
GPROF-IR: An Improved Single-Channel Infrared Precipitation Retrieval for Merged Satellite Precipitation Products
GPROF-IR is a CNN-based retrieval that uses temporal context in geostationary IR observations to produce precipitation estimates with lower error than prior IR methods and climatological consistency with PMW retrievals for integration into IMERG V08.