The effect of future climate scenarios on surface and groundwater resources was simulated using a modeling approach for an artificial recharge area in arid southern Iran. Future climate data for the periods of 2010–2030 and 2030–2050 were acquired from the Canadian Global Coupled Model (CGCM 3.1) for scenarios A1B, A2, and B1. These scenarios were adapted to the studied region using the delta-c...

Characterization of the error associated with satellite rainfall estimates is a necessary component of deterministic and probabilistic frameworks involving spaceborne passive and active microwave measurements for applications ranging from water budget studies to forecasting natural hazards related to extreme rainfall events. The authors focus here on the relative error structure of Tropical Rai...

Higher variability in rainfall and river discharge could be of major importance in landslide generation in the northwestern Argentine Andes. Annual layered (varved) deposits of a landslide dammed lake in the Santa Maria Basin (26 S, 66 W) with an age of 30,000 C years provide an archive of precipitation variability during this time. The comparison of these data with present-day rainfall observa...

This document is disseminated under the sponsorship of the NASA Langley Research Center in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof. The objective of this exploratory study is to develop a model that relates convective weather (Wx) to a surrogate for capacity in en route airspace—ATC sector route blockage (RB). This ...

Uncertainty due to resolution of current satellite-based rainfall products is believed to be an important source of error in applications of hydrologic modeling and forecasting systems. A method to account for the input’s resolution and to accurately evaluate the hydrologic utility of satellite rainfall estimates is devised and analyzed herein. A radar-based Multisensor Precipitation Estimator ...

Hydrological models are the simplified, conceptual and mathematical description of rainfall, runoff, oceans, rivers, groundwater, snow etc. Rainfall-runoff modeling in the broader sense a hydrological, mathematical model gives a detailed account of Rainfall-Runoff relationships of a catchment area or watershed. Conversion of rainfall into runoff takes place in the modelling. There are many meth...

Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and rainfall are highly non-linear phenomena in nature exhibiting what is known as the "butterfly effect". While some regions of the world are noticing a systematic decrease in annual rainfall, others notice increases in fl...