Gridding of daily precipitation data alleviates many of the limitations of data that are derived from point observations, such as problems associated with missing data and the lack of spatial coverage. As a result, gridded precipitation data can be valuable for applied climatological research and monitoring, but they too have limitations. To understand the limitations of gridded data more fully...

Gridded precipitation data are becoming an important source for driving hydrologic models to achieve stable and valid simulation results in different regions. Thus, evaluating different sources of precipitation data is important for improving the applicability of gridded data. In this study, we used three gridded rainfall datasets: 1) National Centers for Environmental Prediction-Climate Foreca...

Analysis of inconsistencies in multi-year gridded quantitative precipitation estimate over complex terrain and its impact on hydrologic modeling" (2012). s u m m a r y It is common that bias trends of long term precipitation data change over time due to various factors such as gauge relocation and changes in data processing methods. Temporal consistency of this error characteristic of precipita...

introduction there are significant differences in the spatial distribution of the iran annual precipitation. this is resulted from spatial behavior of precipitation in the one hand and variation in the sources of precipitation on the other. the lack of adequate distribution of meteorological stations and the unavailability of long-term statistics of precipitation makes the analysis of precipita...

The scarcity and uneven distribution of precipitation stations in the inland river basins of the Northeastern Tibetan Plateau restrict the application of the distributed hydrological model and spatial analysis of water balance component characteristics. This study used the upper Heihe River Basin as a case study, and daily gridded precipitation data with 3 km resolution based on the spatial int...

introduction precipitation is one of the most important meteorological variables in comparison with other climatic parameters. it varies extremely over time and space. the occurrence of this climate phenomenon requires specific circumstances in environment. its accurate measurement is important to a wide range of decision makers including hydrologists, agriculturalists, industrialists and etc. ...

The availability of long-term gridded datasets of precipitation, temperature, and other surface meteorological variables offers the potential for deriving a range of land surface conditions that have not been directly observed. These include, for instance, soil moisture, snow water equivalent, evapotranspiration, runoff, and subsurface moisture transport. However, gridding procedures can themse...

The objective of this work is to present an update to the daily precipitation gridded set developed by Xavier, King and Scanlon (2016), where the previous dataset is namely v2 and the new one is v2.1. The v2.1 gridded data uses 9,259 rain gauges relative to 3,630 in v2. We also extend the period of the gridded data by two years (v2.1 is from Jan/01/1980 to Dec/12/2015 while v2 is from Jan/01/19...

Regional climate models are prone to biases in precipitation that are problematic for use in impact models such as hydrology models. A large number of methods have already been proposed aimed at correcting various moments of the rainfall distribution. They all require that the model produce the same or a higher number of rain days than the observational data sets, which are usually gridded data...

Identification and analysis of flow fluctuations in consequences of climate change is one of the most important factors in water resources management planning and this is vital especially in areas where large crowds are engaged in agriculture. Dez watershed, as an agricultural hub in the country, is one of areas that river flow fluctuations caused by climate change can affect a large population...