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.
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4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Biomass burning aerosols produce -2.5 W m^{-2} regional shortwave cooling over the South-East Atlantic, decomposed equally into ARI, ARI adjustments, and ACI after causal removal of confounding biases.
Develops the factor OUSSM for multi-dimensional mean-reverting processes with observational noise, resolves identifiability via constraints, and demonstrates on biological and environmental time series.
DroughtFormer predicts soil moisture, vegetation health, and related variables in Africa with skill out to 90 days that matches or exceeds climatology for most targets, but shows lower accuracy for precipitation and flash drought indices.
citing papers explorer
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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.
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Dissipating the correlation smokescreen: Causal decomposition of the radiative effects of biomass burning aerosols over the South-East Atlantic
Biomass burning aerosols produce -2.5 W m^{-2} regional shortwave cooling over the South-East Atlantic, decomposed equally into ARI, ARI adjustments, and ACI after causal removal of confounding biases.
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Factor State Space Modelling of the Ornstein-Uhlenbeck Process with Measurement Error and its Application
Develops the factor OUSSM for multi-dimensional mean-reverting processes with observational noise, resolves identifiability via constraints, and demonstrates on biological and environmental time series.
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Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework
DroughtFormer predicts soil moisture, vegetation health, and related variables in Africa with skill out to 90 days that matches or exceeds climatology for most targets, but shows lower accuracy for precipitation and flash drought indices.