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This paper introduces the Message Passing Interface Princeton Ocean Model for Tropical Cyclones (MPIPOM-TC), created at the University of Rhode Island URII).
An improved full track model for tropical cyclones (TCs) based on statistical dynamics method is developed to estimate typhoon wind hazard in the coast of southeast China.
Chave et al. (2014) successfully developed the universal allometric model for tropical forests with wood density based on global database, which were widely used for AGB estimation in tropical forests.
Aboveground biomass for the remaining 114 tree species encountered in FIA plots was estimated using a general model for tropical trees that incorporates diameter, height and wood density [31].
For all other species, and for large trees that exceeded the diameter range of species-specific diameter-to-ACD models, we used a general allometric model for tropical trees developed by Chave et al. [31] that uses diameter, height, and wood density to estimate ACD (Additional file 1: Table S4).
Of the United States forecasting models, the best performing model for tropical cyclone rainfall forecasting is known as the GFS, or Global Forecasting System.
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However, there is still a limited ability to develop accurate biomass estimation models for tropical forests based on remotely sensed optical data [29].
Figure 2 shows some sample relapse patterns from the within-host models for tropical and temperate strains of P. vivax.
However, there is still a limited ability to develop accurate biomass estimation models for tropical forests based on remotely sensed optical data [ 29].
These attributes make papaya an excellent model system for tropical fruit trees in which to study a number of biological processes, including sex chromosome evolution [ 5, 7, 8], cell wall biosynthesis and degradation [ 14], vegetative/reproductive growth phase transition, flower development [ 15, 16], fruit development, fruit ripening, and post-harvesting physiology [ 14].
For regression, the most previous works used the linear regression-based model for seasonal tropical forecasting.
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