Results 81 to 90 of about 2,625 (189)
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
Jurnal Ilmu DasarPrecise precipitation records are essential in supporting climate monitoring and extreme weather early warning systems in coastal regions such as Balikpapan. Driven by the need to provide more accurate and representative rainfall information, the primary
Kurniawan Raharjo +4 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Accurate forecasting of extreme precipitation remains a critical challenge, owing to its heavy‐tailed distribution and severe class imbalance that limit conventional deep learning approaches. This study presents a two‐stage cascade‐diffusion framework for extreme precipitation forecasting over eastern China (110°–130°E, 20°–40°N).
Leyan Dai +6 more
wiley +1 more source
IMERGE-FEP: Improving Relative Free Energy Calculation Convergence with Chemical Intermediates
The Journal of Physical Chemistry BAlchemical free energy calculations are becoming an increasingly prevalent tool in drug discovery efforts. Over the past decade, significant progress has been made in automating various aspects of this technique. However, one aspect hampering wider application is the construction of perturbation networks to connect ligands of interest.
Linde Schoenmaker +9 more
openaire +5 more sources
Invisible Ship Tracks Produce Mean‐State Cloud Microphysics Perturbation in Tropical Trade Cumulus
Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.Abstract Aerosol effects in cumulus‐topped boundary layers remain relatively unconstrained and drive uncertainty in climate modeling. We assess the impacts of shipping aerosol on trade cumulus, combining satellite retrievals and large eddy simulations (LES).
Chris J. Wright +6 more
wiley +1 more source
Remote SensingThe growing concerns about floods have highlighted the need for accurate and detailed precipitation data as extreme precipitation occurrences can lead to catastrophic floods, resulting in significant economic losses and casualties.
Mohammad Sadegh Keikhosravi-Kiany +1 more
doaj +1 more source
Advances in Meteorology, 2018 The comprehensive assessment of the Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) V05B is important for benchmarking the product’s continued improvement and future development.
Guanghua Wei +5 more
doaj +1 more source
Assessment of IMERG precipitation over Taiwan at multiple timescales
Atmospheric Research, 2018 <p>Since March 2014, the Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided satellite precipitation estimates across the globe. Using gridded surface precipitation data derived from local rain gauges as a reference, this study evaluated the performance of IMERG in depicting ...
Wan-Ru Huang, Ya-Hui Chang, Pin-Yi Liu
openaire +1 more source
Verification of GPM IMERG data on the total precipitation in Western Siberia in the warm season
, 2022 This paper presents results of verification of recovered precipitation sums based on GPM IMERG microwave satellite measurements with standard observations at hydrometeorological stations in Western Siberia during summer period.
Kartavykh, Mikhail S. +2 more
core +1 more source
Convcast architecture for precipitation nowcasting using the IMERG dataset.
, 2020 Convcast architecture for precipitation nowcasting using the IMERG dataset.
Yoshihide Sekimoto (499186) +4 more
core +1 more source