Gridded precipitation datasets have been used as alternatives to rain gauge observations, but their applicability for a specific region should be thoroughly evaluated. This article aims at finding the most appropriate one climatological and hydrological applications in Indonesia, by evaluating statistics of performance eight different (research products) having horizontal resolutions between 0....

this study focuses on Madagascar. This island is characterized by a great diversity of climate, due to trade winds and the varying topography. country also undergoing extreme rainfall events such as droughts cyclones. rain gauge network Madagascar limited (about 30 stations). Consequently, we consider relevant satellite-based precipitation datasets fill gaps in ground-based datasets. We assesse...

An attempt has been made to study the impact of surface meteorological observations on the Regional Atmospheric Modelling System (RAMS) simulation of a monsoon depression and two low pressure systems. The surface observations are blended with the GEWEX Asian Monsoon Experiment (GAME) gridded analyses for these cases. In one set of experiments the model is run in 12 hour nudging mode initially a...

Quantifying rates of climate change in mountain regions is considerable interest, not least because mountains are viewed as “hotspots” where can anticipate or amplify what occurring elsewhere. Accelerating has extensive environmental impacts, including depletion snow/ice reserves, critical for the world's water supply. Whilst concept elevation-dependent warming (EDW), whereby stratified by elev...

Satellite-based precipitation products have been shown to represent precipitation well over Nepal at monthly resolution, compared to ground-based stations. Here, we extend our analysis to the daily and subdaily timescales, which are relevant for mapping the hazards caused by storms as well as drought. We compared the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analy...

When evaluating differences between competing precipitation forecasts, formal hypothesis testing is rarely performed. This may be due to the difficulty in applying common tests given the spatial correlation of and nonnormality of errors. Possible ways around these difficulties are explored here. Two datasets of precipitation forecasts are evaluated, a set of two competing gridded precipitation ...

Monthly and daily gridded precipitation datasets are one of the most demanded products in climatology hydrology. These describe high spatial temporal variability as a continuous surface for defined periods. However, due to complex characteristics precipitation, it is difficult obtain accurate estimations. Thus, creation dataset from observations requires comprehensive precise application qualit...