[PDF] Top 20 Evaluation of Gridded Multi-Satellite Precipitation (TRMM-3B42-V7) Estimation Performance in the Upper Indus Basin (UIB)

... Figure 3: Time series of TRMM- estimates and observed gauge data for mean rainfall totals at 321. Khunjrab station; a[r] ... See full document

... global precipitation (P ) datasets do not take full advantage of the complementary nature of satel- lite and reanalysis ...present Multi-Source Weighted-Ensemble Precipitation (MSWEP) version ...on ... See full document

... space-borne precipitation estimates arise from the geographic characteristics of the investigation ...for precipitation estimates and shows their dependence on surface ... See full document

... the satellite precipitation as compared to that of rain gauges, following evaluation statistics were used: (a) BIAS, defined as the average difference between satellite estimates and rain ... See full document

... the Multi-Sensor Precipitation Estimator (MPE) that would objectively blend real-time satellite quantitative precipitation estimates (SQPE) with radar and gauge ...of precipitation ... See full document

... three satellite precipitation datasets (SPDs), including (1) the Climate Prediction Center Morphing algorithm (CMORPH), (2) Global Satellite Mapping of Precipitation (GSMaP) Reanalysis, and ... See full document

... model-to- satellite approach for a high-weather impact event that oc- curred over ...an evaluation involves the numeri- cal simulation of brightness temperatures at AMSU-B/MHS wavelengths using a radiative ... See full document

... professional precipitation detection program, was launched in 1997 to study rainfall for weather and climate research ...(https://pmm.nasa.gov/trmm). Precipitation datasets retrieved from the passive ... See full document

... Phantom Precipitation is most common in the winter hemisphere on the lee side on ...phantom precipitation radiative signature depending on the location and time of ...phantom precipitation signatures ... See full document

... Satellite-based precipitation estimation techniques are comprised of information from geostationary Earth orbit- ing (GEO) satellites and/or low Earth orbiting (LEO) satel- ...estimate precipitation ... See full document

... careful evaluation is essential to determine the most appropriate product for a given ...(TRMM) Multi-satellite Precipitation Analysis (TMPA) 3B42 product was chosen from a range of RS ... See full document

... Infrared Precipitation (CHIRP) and the Climate Hazards Infrared Precipitation with Stations (CHIRPS) are satellite-based precipitation products (Funk et ...is satellite only, CHIRPS ... See full document

... the gridded datasets with measurements at the Bhuntar gauge, we extract the time series at the nearest point to the Bhuntar ...treme precipitation, ...all gridded datasets are comparable with the ... See full document

... the TRMM or CMORPH means. These regions were gen- erally best fit with LST, slope, or elevations from a digital elevation model (DEM). Figures 3 and 4 show the propor- tion of modeled cross-validated variance for the MWR ... See full document

... daily precipitation indices is very high over the NWI domain, in spite of its relatively small surface area (around 29 000 km 2 ...the precipitation peaks from the pre-mountain range to the mountains ... See full document

... In this stage we make use of the results obtained from previous stages and try to forecast few weather attributes. In order for this stage to work we look for machine learning techniques. Under machine learning ... See full document

... of precipitation, that is non-Gaussian and non-stationary in both time and space (Wanders et ...possible precipitation fields than were used in earlier studies or in Wanders et ...The precipitation ... See full document

... steps (Nicholson et al., 2003): the root mean square er- ror is of the order of 1 mm day −1 and there is no sig- nificant bias. Ten different satellite rainfall products, in- cluding TRMM 3B42, the Famine Early ... See full document

... To statistically postprocess the flow forecasts generated by the RHEPS, two different approaches are tested, namely a first-order autoregressive model with a single exogenous variable, ARX(1,1), and quantile regression ... See full document

... of precipitation (Chen et ...of precipitation in the RCMs to the distribution (quantiles) of the reference data ...in precipitation and temperature (Bellprat et ...(e.g. precipitation) is ... See full document