At present, new technologies are becoming available to extend the coverage of conventional meteorological datasets. An example is the TMPA-3B42R dataset (research – v6). The usefulness of this satellite rainfall product has been investigated in the hydrological modeling of the Vinces River catchment (Ecuadorian lowlands). The initial TMPA3B42R information exhibited some features of the precipit...

Based on the University of Utah Tropical Rainfall Measuring Mission (TRMM) precipitation feature (PF) database, tropical cyclone PFs (TCPFs) are identified for over 600 storms that reached tropical storm intensity level or above around the globe during eight TC seasons from the period of 1998–2006. Each TC season includes 6 months yr. Six basins are considered: Atlantic (ATL), east-central Paci...

Climatic variability, unplanned land use pattern and encroachment into the flood plain are affecting the hydrology of Bagmati river basin of Nepal. In this study, methodology to improve present flood management system with non-structural countermeasures has been elaborated. Study of hydrological condition, basin scale rainfall runoff modeling and inundation analysis is helpful to prepare commun...

this study investigates the atmospheric circulation associated with extreme rainfall events over the coastal west africa. the rainfall data of this study were obtained from the global precipitation climatology centre (gpcc), spanning from 1981 to 2010. the atmospheric datasets were also obtained from the era-interim reanalysis. the study employed the z-index to categorize dry and wet years into...

[1] This paper expands the one-dimensionally based CTP-HIlow framework for describing atmospheric controls on soil moisture-boundary layer interactions [Findell and Eltahir, 2003] to three dimensions by including low-level wind effects in the analysis. The framework is based on two measures of atmospheric thermodynamic properties: the convective triggering potential (CTP), a measure of the temp...

Daily rainfall occurrence and amount at 11 stations over North Queensland are examined for summers 1958– 1998, using a Hidden Markov Model (HMM). Daily rainfall variability is described in terms of the occurrence of five discrete ‘weather states’, identified by the HMM. Three states are characterized respectively by very wet, moderately wet, and dry conditions at most stations; two states have ...

Daily rainfall occurrence and amount at 11 stations over North Queensland are examined during summer 1958–1998, using a Hidden Markov Model (HMM). Daily rainfall variability is described in terms of the occurrence of five discrete “weather states,” identified by the HMM. Three states are characterized respectively by very wet, moderately wet, and dry conditions at most stations; two states have...

Abstract In the context of climate change and increasing occurrences extreme events, it is essential to understand farmers' responses weather shocks adaptations. This paper uses a panel dataset 311 selected Indian districts ranging from 1966 2009 investigate how application chemical fertilizers varies in response rainfall shocks. Two shock measures are constructed based on deviation normal, cat...