Evaluation of mesoscale convective systems in South America using multiple satellite products and an object-based approach

In this study, an object-based verification method was used to reveal the existence of systematic errors in three satellite precipitation products: Tropical Rainfall Measurement Mission (TRMM), Climate Prediction Center Morphing Technique (CMORPH), and Precipitation Estimation from Remotely Sensed I...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Demaria, E.M.C., Rodriguez, D.A., Ebert, E.E., Salio, P., Su, F., Valdes, J.B.
Formato: JOUR
Materias:
Climatology
Computer simulation
Errors
Neural networks
Rain gages
Remote sensing
Satellites
Space shuttles
Storms
Systematic errors
Artificial Neural Network
Austral summers
Bias correction
Climate prediction centers
Error decomposition
Fine structures
Ground observations
Hydrological models
Macro scale
Mesoscale Convective System
Morphing techniques
Multiple satellites
Noisy measurements
Object based
PERSIANN
Precipitation estimation from remotely sensed information
Rainfall rates
River basins
Satellite precipitation
Satellite products
Significant impacts
South America
Southeastern South America
Spatial location
Tropical rainfall measurement missions
Verification method
Rain
climate prediction
error analysis
hydrological modeling
mesoscale meteorology
noise
precipitation assessment
rainfall
satellite imagery
spatial analysis
storm
streamflow
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01480227_v116_n8_p_Demaria
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares