The integration of meteorological satellite imagery and numerical dynamical forecast models

Abstract

Imagery of clouds, water vapour, and thermal structure as achieved in real-time from geostationary satellites can play an important role in the dynamic verification and reinitialization of numerical weather-prediction models used for short-range prediction of intense weather. By overlaying hourly interval model forecast fields over satellite imagery, the validity of the evolving forecast can be subjectively assessed and phase and amplitude errors can be diagnosed in a dynamic manner. Videographic interactive computer systems designed for the purpose should enable improved numerical weather forecasts to be made through the dynamic use of satellite imagery. This approach is demonstrated by using the Man—Computer Interactive Data Access System (McIDAS) at the University of Wisconsin for a case of the development of a cyclone over the east coast of the U.S.A.

Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data

“…Air surface temperature (T a ) with high spatial and temporal resolution plays an important role in various applications, such as crop growth monitoring and simulations [1], hydrological, ecological, and environmental studies [2][3][4], weather forecasting [5,6], and climate change [7,8]. It is used as a key input variable and directly affects the accuracy of these applications.…”

The estimation of air temperature from NOAA/AVHRR images and the study of NDVI-Ts impact: Case study: The application of split-window algorithms over (Perak Tengah & Manjong) area, Malaysia

“…To estimate near surface air temperature Ta is useful matter for many applications including the study of vector-borne disease bionomics ( [2]; [3]; [4]; [5]; [6]), epidemic forecasting [7], weather forecasting [8], veterinary uses [9], and climate change [10]. Spatial and temporal information on surface temperature, air temperature are also important to model and monitor regional evapotranspiration in the biophysical processes and crop growth modeling for food security assessment [11].…”