Quantitative precipitation estimation and rainfall monitoring based on meteorological data, potentially provides continuous, high-resolution and large-coverage data, are of high practical use: Think of hydrogeological risk management, hydroelectric power, road and tourism. Both conventional long-range radars and rain-gauges suffer from measurement errors and difficulties in precipitation estima...

A rapid heat precipitation micromethod for the estimation of plasma fibrinogen is described. Its validity and reproducibility have been extensively tested. The method correlates well with a more generally used thrombin-clotting technique over a wide range of fibrinogen levels.

During the middle part of this decade a wide variety of passive microwave imagers and sounders will be unified in the Global Precipitation Measurement (GPM) mission to provide a common basis for frequent (3 hr), global precipitation monitoring. The ability of these sensors to detect precipitation by discerning it from non-precipitating background depends upon the channels available and characte...

This work presents a self-consistent algorithm for near real-time rainfall estimation via infrared Geostationary Operational Environmental Satellite (GOES) (each 1⁄2 hour) data based on a validation simultaneous dataset from Precipitation Radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite, GOES and lightning data, for the basin of Paraíba do Sul river. The dataset corre...

Assessment of satellite precipitation products’ capability for monitoring drought is relatively new in tropical regions. The purpose of this paper is to evaluate the reliability of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 product in estimating the standardized precipitation index (SPI) in the Kelantan River Basin, Malaysia from 1998 to 201...

[1] The key question that is asked in this study is ‘‘how are the three independent bias components of satellite rainfall estimation, comprising hit bias, missed, and false precipitation, physically related to the estimation uncertainty of soil moisture and runoff for a physically based hydrologic model?’’ The study also investigated the performance of different satellite rainfall products as a...

Precipitation is a key aspect of the climate system. In this paper, the dependability of five satellite precipitation products (TRMM [Tropical Rainfall Measuring Mission] 3BV42, PERSIANN [Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks] CDR, GSMaP [Global Satellite Mapping of Precipitation] RENALYSIS, CMORPH [Climate Prediction Center’s morphing techni...

Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation—Highly-Resolved Observational Data Integration towards Evaluation of Water Resources: APHRODITE, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate D...

This paper presents the operational implementation of a 1D+4D-Var assimilation system of rain affected satellite observations at ECMWF. The first part describes the methodology and performance analysis of the 1D-Var retrieval scheme in clouds and precipitation that uses SSM/I microwave radiance observations for the estimation of total column water vapor. The second part shows the global and lon...

meteorological radars estimate the precipitation using a reflection-precipitation relation as z=arb with a, b coefficients. these coefficients will change from one precipitation to the other one. for the tehran radars they are considered as a=200 and b=1.6. these values are proper when we have moderate precipitations. this assumption causes an error in the estimation of different precipitation ...