Rainfall observed on the ground is dependent on the four dimensional structure of precipitation aloft. Scanning radars can observe the four dimensional structure of precipitation. Neural network is a nonparametric method to represent the nonlinear relationship between radar measurements and rainfall rate. The relationship is derived directly from a dataset consisting of radar measurements and r...

The estimation of convective precipitation and its contribution to total precipitation is an important issue both in hydrometeorology and radio links. The greatest part of this kind of precipitation is related with high intensity values that can produce floods and/or damage and disturb radio propagation. This contribution proposes two approaches for the estimation of convective precipitation, u...

[1] We model the atmospheric response to a chaos‐forming event at Juventae Chasma, north of Valles Marineris, Mars, using the Mars Regional Atmospheric Modeling System (MRAMS). Interactions between lake‐driven convergence, topography, and the regional wind field steer lake‐induced precipitation to the southwest. Mean snowfall reaches a maximum of 0.9 mm/h water equivalent (peak snowfall 1.7 mm/...

This study presents a statistical analysis of the vertical structure of precipitationmeasured by NASA–Japan Aerospace ExplorationAgency’s (JAXA) Tropical RainfallMeasuringMission (TRMM) precipitation radar (PR) in the region of southern California, Arizona, and western NewMexico, where the ground-based NextGeneration Radar (NEXRAD) network finds difficulties in accurately measuring surface prec...

A technique that couples lead (Pb) isotopes and multi-element concentrations with meteorological analysis was used to assess source contributions to precipitation samples at the Bondville, Illinois USA National Trends Network (NTN) site. Precipitation samples collected over a 16month period (July 1994-October 1995) at Bondville were parsed into six unique meteorological flow regimes using a min...

Cool season precipitation plays an important role in freshwater supply over the Southwest United States, which is marked by heterogeneous topographic and hydrologic scenarios. More accurate precipitation prediction is highly desirable for both the public and hydrological model users. Numerous studies indicate that ensemble forecasting provides more skillful weather forecasts than a single deter...

8 [1] The Madden-Julian Oscillation (MJO), the primary 9 mode of large-scale intraseasonal variability in the tropics, 10 is known to relate to the mid-latitude atmospheric 11 variability. Using neural network techniques, a nonlinear 12 projection of the MJO onto the precipitation and 200-hPa 13 wind anomalies in the northeast Pacific during January– 14 March shows asymmetric atmospheric patter...

We present the first analysis of precipitation chemistry data from the Great LakesAtmospheric Deposition (GLAD) network of wet-only precipitation samplers. Lake loadings werecalculated from 1or 2-yr (1982-1983) volume-weighted mean ion concentrations and 30-yr meanannual precipitation amounts, using an objective analysis method to interpolate measurements to a40 x 40 km square g...

Background: Changes in temperature and precipitation pattern seriously affect the amount of river runoff coming into Dam Lake. These changes could influence the operating conditions of reservoir systems such as Jor hydropower reservoir system (Malaysia) with the total capacity of 150 MW. So, it is necessary to analyze the effect of changes in weather parameters on the river runoff and consequen...