Major volcanic events with a high loading of stratospheric aerosol have long been known to cause cooling, but their impact on precipitation has only recently been emphasized, especially as an analog for potential geoengineering of climate. Here, the authors use a coupled atmosphere–ocean–land–vegetation model in conjunction with observations to study the effects of volcanic aerosol on the tropi...

In the last decades, the 18O/16O signature of meteoric water became a key tracer intensively used both in hydrology and in paleoclimatology, based primarily on the correlation of the 18O/16O ratio in precipitation with temperature. This correlation with temperature is generally well understood as a result of Rayleigh processes of atmospheric vapour during the formation of precipitation. The res...

Six rainfall datasets are compared over the Amazon basin, Northeast Brazil, and the Congo basin. These datasets include three gauge-only precipitation products from the Climate Prediction Center (CPC), Global Precipitation Climatology Center (GPCC), and Brazilian Weather Forecast and Climate Studies Center (CLMNLS), and three combined gauge and satellite precipitation datasets from the CPC Merg...

Numerous studies conducted as part of the Tropical Rainfall Measurement Mission (TRMM) program have demonstrated the benefits of space-borne precipitation measurements. The NASA Global Precipitation Mission (GPM) is an outgrowth of TRMM that will provide improved precipitation measurements and extend those measurements to higher latitudes. GPM satellite will carry a microwave imager coupled wit...

 Bamdzh wetland of Khuzestan Province is at downstream of Shavvr River. Its area is approximately 4 hectares. Due to the loss of wetland area, especially in recent decades, this study investigated the effects of a five-year drought (2007-2012) in the Shavvr region and the pond ultimately. Also the comparison between the satellite images and remote sensing technique has been used and was estimat...

Individually, ground-based, in situ observations, remote sensing, and regional climate modeling cannot provide the high-quality precipitation data required for hydrological prediction, especially over complex terrains. Data assimilation techniques can be used to bridge the gap between observations and models by assimilating ground observations and remote sensing products into models to improve ...

Reliable drought monitoring requires long-term and continuous precipitation data. High resolution satellite measurements provide valuable precipitation information on a quasi-global scale. However, their short lengths of records limit their applications in drought monitoring. In addition to this limitation, long-term low resolution satellite-based gauge-adjusted data sets such as the Global Pre...

1. introduction long-term climatic data are a prerequisite for hydro-meteorological studies and understanding of past climate. iran is mostly located in semi-arid to arid climate zones, so information on the natural long-term variability of the hydroclimate is of great relevance for land use planning, agriculture, and water supply of a growing population. however, the maximum length of recorded...

Global warming is expected to increase the frequency and intensity of droughts in the twenty-first century, but the relative contributions from changes in moisture supply (precipitation) versus evaporative demand (potential evapotranspiration; PET) have not been comprehensively assessed. Using output from a suite of general circulation model (GCM) simulations from phase 5 of the Coupled Model I...

A novel methodology is introduced for quantifying the added value of remotely sensed soil moisture products for global land surface modeling applications. The approach is based on the assimilation of soil moisture retrievals into a simple surface water balance model driven by satellite-based precipitation products. Filter increments (i.e., discrete additions or subtractions of water suggested b...