Journal Article10.1016/J.ADVWATRES.2011.05.007
Evaluation of precipitation products over complex mountainous terrain: A water resources perspective
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TL;DR: In this article, the authors evaluated the usefulness of several commonly used precipitation products over data scarce, complex mountainous terrain from a water resources perspective, and showed that the remotely sensed and hindcast products show a low correlation with locally observed precipitation data.
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About: This article is published in Advances in Water Resources. The article was published on 01 Oct 2011. The article focuses on the topics: PERSIANN & Quantitative precipitation estimation.
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Citations
Role of MJO in modulating rainfall characteristics observed over India in all seasons utilizing TRMM
Abstract: The present study aims to understand the influence of the Madden–Julian oscillation (MJO) on the seasonal and diurnal characteristics (amplitude and phase) of rainfall over the Indian subcontinent (lat. 10°S–38°N, long. 60°–100°E). The study is conducted for the period 1998–2015 and for each Indian season. To accomplish this, the Tropical Rainfall Measuring Mission (TRMM) data set (3B42, version 7) is examined using indices quantifying rainfall frequency percentage and rainfall octet contribution, respectively. The real‐time multivariate (RMM) index developed by Wheeler and Hendon (2004) is used to partition the MJO into active, weak and suppressed phases. The results show that during active and weak phases (suppressed), positive (negative) rainfall anomalies are observed and the frequency of rainfall events is enhanced (lessened) over the most of the geometrically distinct regions. This finding is common to all seasons but is most prominent for weak phases (restricted to RMM phases 2–5) of the MJO during the monsoon season. Results suggest that the eastward propagation of the MJO over the Indian Ocean modulates rainfall across the India and neighbouring seas and countries – irrespective of the RMM index amplitude. Most works previously published focuses on the diurnal rainfall characteristics of the Indian summer monsoon (JJAS). The present study extends current understanding by investigating diurnal variation in rainfall related to the mean, active, weak and suppressed phases of MJO for each Indian season. Possible drivers of the diurnal cycle of rainfall over the oceans and continental regions were explored using recently reported observational and modelling studies. Our findings help understand rainfall processes for the Indian subcontinent and have practical application for numerical weather prediction, flood forecasting and water resource management regionally.
Application of a Dynamic Clustered Bayesian Model Averaging (DCBA) Algorithm for Merging Multisatellite Precipitation Products over Pakistan
TL;DR: In this paper, a merged multisatellite precipitation datasets (MMPDs) combine the advantages of individual satellite precipitation products (SPPs), have a tendency to reduce uncertainties, and provide highe...
Validation of satellite precipitation (trmm 3b43) in ecuadorian coastal plains, andean highlands and amazonian rainforest
TL;DR: In this article, the authors validate monthly estimates from TRMM 3B43 satellite precipitation by using ground data from 14 rain gauges in Ecuador, located in the 3 most differentiated regions of the country: the Pacific coastal plains, the Andean highlands, and the Amazon rainforest.
A Regional Blended Precipitation Dataset over Pakistan Based on Regional Selection of Blending Satellite Precipitation Datasets and the Dynamic Weighted Average Least Squares Algorithm
Khalil Ur Rahman,Songhao Shang +1 more
TL;DR: A regional blended precipitation dataset (RBPD) over Pakistan from selected SPDs in different regions using a dynamic weighted average least squares (WALS) algorithm from 2007 to 2018 is developed, showing that WALS-RBPD had assigned higher weights to IMERG in the glacial, humid, and arid regions, while SM2RAIN-ASCAT had higher weights across the hyper-arid region.
Error analysis of multi-satellite precipitation estimates with an independent raingauge observation network over a medium-sized humid basin
TL;DR: In this paper, the error characteristics of four widely utilized satellite precipitation products (i.e., TMPA 3B42RTV7, TMPA3B42V7, CMORPH and PERSIANN-CDR) were quantified using an independent raingauge network over the upper-middle Huai River basin in central-eastern China.
References
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TL;DR: In this paper, the authors developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution).
The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales
George J. Huffman,Robert F. Adler,David T. Bolvin,Guojun Gu,Guojun Gu,Eric Nelkin,Kenneth P. Bowman,Yang Hong,Yang Hong,Erich Franz Stocker,David B. Wolff +10 more
TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.
A high-resolution data set of surface climate over global land areas
TL;DR: In this paper, the construction of a 10' latitude/longitude data set of mean monthly sur-face climate over global land areas, excluding Antarctica, was described, which includes 8 climate conditions: precipitation, wet-day frequency, temperature, diurnal temperature range, relative humid-ity, sunshine duration, ground frost frequency and windspeed.
Evaluation of PERSIANN system satellite-based estimates of tropical rainfall
TL;DR: PERSIANN as discussed by the authors is an automated system for precipitation estimation from Remotely Sensed Information using Artificial Neural Networks, which is developed for the estimation of rainfall from geosynchronous satellite longwave infared imagery (GOES-IR) at a resolution of 0.25° × 0.75° every half-hour.
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Comparison of near-real-time precipitation estimates from satellite observations and numerical models
TL;DR: In this article, the authors provide potential users of short-interval satellite rainfall estimates with information on the accuracy of such estimates, and compare the satellite-derived estimates of precip...
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