10 The constellation of space-borne passive microwave (MW) sensors, coordinated under 11 the framework of the Precipitation Measurement Missions international agreement, 12 continuously produces observations of clouds and precipitation all over the globe. The Goddard 13 Profiling Algorithm (GPROF) is designed to infer the instantaneous surface precipitation rate 14 from the measured MW radiance...

False alarm and misdetected precipitation are prominent drawbacks of high-resolution satellite precipitation datasets, and they usually lead to serious uncertainty in hydrological and meteorological applications. In order to provide accurate rain area delineation for retrieving high-resolution precipitation datasets using satellite microwave observations, a probabilistic neural network (PNN)-ba...

Rain Induced attenuation over a terrestrial link operating at 28.75 GHz was measured during the period of Feb., 04 to Jan., 05. at Amritsar ( 31036’ N 740 52’ E) . The paper presents the results in the form of a proposed empirical formula. The experimental results have been measured with those predicted by ITU-R. It is observed that there is a significant difference between the attenuation leve...

The purpose of this study is to describe a new algorithm based on a neural network approach (Passive microwave Neural network Precipitation Retrieval – PNPR) for precipitation rate estimation from AMSU/MHS observations, and to provide examples of its performance for specific case studies over the European/Mediterranean area. The algorithm optimally exploits the different characteristics of Adva...

Global precipitation measurement is essential not only for the research of the global change but also for the water resources management. Currently, satellite precipitation measurement is not sufficient for the detailed study of the precipitation and is far from enough for the water resources management which requires very high spatial and temporal resolution. To fill the gap at least partly, t...

The combination of measurements from different satellite instruments for the estimation of precipitation is a promising way to overcome the shortcomings of measurements from a single data source. EUMETSAT realised the Multi-sensor Precipitation Estimate (MPE) in order to combine the advantages of the high temporal and comparably high spatial resolution of a geostationary IR sensor with the high...

The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 Combined Precipitation Data Set, a global, monthly precipitation dataset covering the period July 1987 through December 1995. The primary product in the dataset is a merged analysis incorporating precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit-satellite infrared data, and ra...

Passive microwave (PMW) measurements of ice-phase precipitation, such as snowfall and graupel, provide a physically direct basis for inferring the integrated amount of precipitation within a given field-of-view (FOV), assuming that other sources of noise can be adequately accounted for. However, the vertical distribution of precipitation within the FOV is generally unknown. By combining passive...

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...

We present here the results of the measurements of rain-induced attenuation in the vertically polarized signal propagating at 12.25GHz during some rain events, which occurred in the rainy season of the year 2001 at Yongin, Korea. The attenuation measured experimentally was compared with that obtained using the International Telecommunication Union Radio Communication Sector (ITU-R) model, the S...