Precipitation is the most important component and critical to the study of water and energy cycle. In this study we investigated the propagation of precipitation retrieval uncertainty in the simulation of hydrological variables, such as soil moisture, temperature, runoff, and fluxes, for varying spatial resolution on different vegetation cover. Two remotely sensed rain retrievals were explored ...

Hourly or 3-hourly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite products and rain gauge records are used to characterize East Asian summer monsoon rainfall, including spatial patterns in June–August (JJA) mean precipitation amount, frequency, and intensi...

climate change is a phenomenon that has made the most concern in communities and decision making centers. this phenomenon has important effects on different aspects of human life. one of the most important crops that are affected by climate change is wheat. accordingly, data and information of northern khorasan have been used to study the effects of climate change on rain-fed wheat yield. for t...

In airborne and spaceborne radar remote sensing of clouds and precipitation, measurements of the sea surface normalized radar cross section σ are widely used to constrain and condition algorithms for the retrieval of atmospheric parameters. In the Tropical Rainfall Measuring Mission, the Path Integrated Attenuation (PIA) of the Ku-band Preciptitation Radar (PR) are estimated by comparing the su...

. Abstract: In an oligotrophic coastal zone, land drainage and atmospheric precipitation can temporarily modify the concentrations of specific dissolved compounds in local surface waters, mainly nutrient salts, setting up conditions for "new" primary production of phytoplankton. The Ubatuba region (23°30'S 45°06'W) is considered an oligo-mesotrophic region subject to a high average annual preci...

Recently a rainfall erosivity map has been published. We show that the values of this map contain considerable bias because (i) the temporal resolution of the rain data was insufficient, which likely underestimates rain erosivity by about 20%, (ii) no attempt had been included to account for the different time periods that were used for different countries, which can modify rain erosivity by mo...

Many general circulation models (GCMs) share similar biases in the representation of the intertropical convergence zone (ITCZ) in the Atlantic, even when they are forced with the time series of the observed sea surface temperature (SST). Specifically, they overestimate precipitation in the Southern Hemisphere in boreal spring and in the Caribbean region in boreal summer. The majority of the mod...

Interpolation, the generalization of point data to scatter data, and combining maps are three cases of important applications of GIS. In this study, it has been tried to make the estimation of rain erosion capacity (Fournier Method) more real through using GIS capability in interpolation and the generalization of point data to scatter data. In Fournier method, the rain erosion capacity is calcu...

[1] We examined the effects of snow, event size, basin size, and forest harvest on floods using >1000 peak discharge events from 1953 to 2006 from three small (<1 km), paired‐watershed forest‐harvest experiments and six large (60–600 km) basins spanning the transient (400–800 m) and seasonal (>800 m) snow zones in the western Cascades of Oregon. Retrospectively classified rain‐on‐snow events de...