Severe drought is a notable feature of the hydrology of Central Southwest (CSW) Asia. Although studies have linked the region’s interannual precipitation variability to remote forcings that include East Asia Jet Stream variability and Western Pacific tropical convection, atmospheric general circulation models (GCMs) forced by observed sea surface temperatures demonstrate little skill in simulat...

The high spatial and temporal variability of precipitation poses a substantial challenge to its global monitoring, particularly over the global oceans. The insufficient coverage of surface-based measurements adds to this problem. These data-sparse areas profit from passive microwave (PMW) satellite sensors, which essentially contribute to the estimation of global long-term precipitation estimat...

The diurnal cycle of the North American monsoon is analyzed based on the output from a mesoscale model simulation. Statistically significant diurnal cycle in precipitation is identified, with heavy precipitation—essentially convective—dominating in local afternoons. Temporal evolution of key parameters in relation to precipitation is investigated, based on which a sequence of the dynamic/thermo...

Regional climate models (RCMs) in general can simulate the characteristics of heavy/extreme precipitation more accurately than general circulation models (GCMs) as a result of more realistic representation of topography and mesoscale processes. An analogue method of statistical downscaling, which identifies the resolved large-scale atmospheric conditions associated with heavy precipitation, is ...

abstract in this study we have used the monthly data resulted from the calculation of temperature and precipitation for a 52-year period (1951-2003). the doubling effect of carbon dioxide ( ) on temperature and precipitation was modeled as the most important climatic parameters. the resulting hythergraph and ambrothermic models for tabriz indicate monthly increases of temperature and precipitat...

Past attempts to assimilate precipitation by nudging or variational methods have succeeded 1 in forcing the model precipitation to be close to the observed values. However, the model 2 forecasts tend to lose their additional skill after few forecast hours. In this study, a local 3 ensemble transform Kalman filter (LETKF) is used to effectively assimilate precipitation by 4 allowing ensemble mem...

The Global Precipitation Mission (GPM) Core Observatory that was launched on 27 February 2014 ushered in a new era for estimating precipitation from satellites. Based on their high spatial–temporal resolution and near global coverage, satellite-based precipitation products have been applied in many research fields. The goal of this study was to quantitatively compare two of the latest GPM-era s...

The purpose of this study was to determine the relationships between precipitation at the seasonal and annual scale and water discharge per surface area for seven contiguous firstand second-order tributaries of the Rhode River, a small tidal tributary to Chesapeake Bay, Maryland, USA. The goal was to quantify the effects of a wide range of precipitation, representative of interannual variations...

one of the most important impact of climate change is reduction of precipitation in some areas including iran. hence, climate change studies are essential in these areas. besides, according to ipcc, some meteorological stations of iran, such as tabriz (capital of east azerbaijan province) have showed a downward trend in precipitation. therefore, east azerbaijan province was selected as the stud...

Accurate precipitation data at a high spatial resolution are essential for hydrological, meteorological, and ecological research at regional scales. This study presented a geostatistical downscaling-calibration procedure to derive the high spatial resolution maps of precipitation over a mountainous watershed affected by a monsoon climate. Based on the relationships between precipitation and oth...