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Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging
2019
Water
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of rainfall data and in-depth application of non-gauge based rainfall data. ...
Quantitative rainfall estimation has always been a common concern in many fields of research and practice, such as meteorology, hydrology, and environment, as well as being one of the most important research ...
Rainfall merging began in the 1970s with the associated precipitation estimation combining radar and rain gauge measurements [148] . ...
doi:10.3390/w11030579
fatcat:awws4kfij5aqnbzyi5ampk3b4m
UKGrsHP: a UK high-resolution gauge–radar–satellite merged hourly precipitation analysis dataset
2020
Climate Dynamics
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In this study, we develop a UK high-resolution gauge-radar-satellite merged hourly precipitation analysis: the UKGrsHP. ...
An efficient way to solve this is to develop a merged precipitation product that combines the information and benefits from multiple data sources, improving both the spatial resolution and accuracy of ...
In addition, the compound strategy of using the gauge-satellite-radar (3_Merge) framework and the gauge-radar (2_Merge) framework provides flexibility in application to precipitation merging in other regions ...
doi:10.1007/s00382-020-05144-2
pmid:32226231
pmcid:PMC7089634
fatcat:kd6bpfcymzfe7jexopuycqbtwm
The Global Precipitation Measurement Mission
2014
Bulletin of The American Meteorological Society - (BAMS)
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measurement, especially for light rain and cold-season solid precipitation; 2) intercalibrated microwave brightness temperatures from constellation radiometers within a consistent framework; and 3) unified ...
and combined radar/radiometer swath data within 3 h of the observation time. ...
doi:10.1175/bams-d-13-00164.1
fatcat:yn47eblptzar3ir65owf55znve
Intercomparison of High-Resolution Precipitation Products over Northwest Europe
2012
Journal of Hydrometeorology
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Surface reference data from the European radar network is used as ground truth, supported by the Global Precipitation Climatology Centre (GPCC) precipitation gauge analysis and gauge data over the United ...
In addition, the Geosynchronous Operational Environmental Satellite (GOES) precipitation index (GPI) and the European Centre for Medium-Range Weather Forecasting (ECMWF) operational forecast model products ...
BADC and Met Office for the provision of the surface radar data and hourly gauge data, and the GPCC for provision of their gauge analysis. ...
doi:10.1175/jhm-d-11-042.1
fatcat:npmj7fjwsrhulkudn73y74xkhq
The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations
2018
Quarterly Journal of the Royal Meteorological Society
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of liquid and frozen precipitation and the science of water and hydrological cycles for climate/weather forecasting. ...
Dual-frequency Precipitation Radar. ...
We also thank NASA's Precipitation Measurement Mission science team and international partners (https://pmm.nasa.gov/PMM-science-team), as well as the international GV teams for their excellent support ...
doi:10.1002/qj.3313
pmid:31213729
pmcid:PMC6581458
fatcat:qgysz47vwvgx5oh4je3sdzvl2y
A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons
2018
Reviews of Geophysics
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In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available global precipitation data sets, including gauge-based, satellite-related, and reanalysis ...
The inconsistencies described limit the capability of the products for climate monitoring, attribution, and model validation. ...
We are grateful to the products' developers for providing the precipitation data sets; the data sets and the MATLAB code for reading data are included in the supporting information. ...
doi:10.1002/2017rg000574
fatcat:ehjiwayn4zephhegmlhqqg4mxe
Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model
2011
Journal of Hydrometeorology
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This study investigates evolving methodologies for radar and merged gauge-radar quantitative precipitation estimation (QPE) to determine their influence on the flow predictions of a distributed hydrologic ...
There were relatively small differences between NMQ and HPE gauge-radar estimates in terms of accuracy and impacts on hydrologic simulations, most likely due to the large influence of the input rain gauge ...
Fekadu Moreda and Seann Reed of OHD performed crucial setup work for HL-RDHM. ...
doi:10.1175/jhm-d-10-05038.1
fatcat:chdkxpftg5dnvcdfj7px6bjvfa
Investigating the potential of a global precipitation forecast to inform landslide prediction
2021
Weather and Climate Extremes
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The Multi-Radar Multi-Sensor gauge corrected (MRMS-GC) reference is used to assess the performance of both satellite and model-based precipitation products over the contiguous United States (CONUS). ...
J o u r n a l P r e -p r o o f Abstract Extreme rainfall events within landslide-prone areas can be catastrophic, resulting in loss of property, infrastructure, and life. ...
IR) precipitation estimates, with gauge information (Huffman et al. 2015) . ...
doi:10.1016/j.wace.2021.100364
fatcat:q2hsk7oyejeznfeqtq3umwfpji
Application of the HBV hydrological model in a flash flood case in Slovenia
2010
Natural Hazards and Earth System Sciences
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The validated model was applied to the flash flood case with stream gauge failure, driven by spatiotemporal precipitation produced by a set of rain gauges and radar data. ...
The added value of this method is in the reduced uncertainty in peak discharge estimation and event interpretation and in an effective flash flood warning system for the study area when it is combined ...
Bouilloud is thankfully acknowledged for providing the calibrated radar data used in this study. Edited by: F. Castelli Reviewed by: R. Jarrett and another anonymous referee ...
doi:10.5194/nhess-10-2713-2010
fatcat:sbfsenspvreb5dpjz7ygrrzt3u
PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks
2019
Journal of Hydrometeorology
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State-of-the-art deep learning algorithms, renowned for their skill in learning accurate patterns within large and complex datasets, appear well suited to the task of precipitation estimation, given the ...
Furthermore, the root-meansquare error (RMSE) of the rainfall estimates with respect to the National Centers for Environmental Prediction (NCEP) Stage IV gauge-radar data, for PERSIANN-CNN was lower than ...
In this study, we propose a framework for real-time precipitation estimation using the IR and WV information and applying a CNN model. ...
doi:10.1175/jhm-d-19-0110.1
fatcat:5egxw7dx2fc5tijs2gs4epjqly
Initial phase of the Hans-Ertel Centre for Weather Research – A virtual centre at the interface of basic and applied weather and climate research
2014
Meteorologische Zeitschrift
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Concrete developments within the research network include dual observation-microphysics composites, satellite forward operators, tools to estimate observation impact, cloud and precipitation system tracking ...
The performed research ranges from nowcasting and short-term weather forecasting to convective-scale data assimilation, the development of parameterizations for numerical weather prediction models, climate ...
Acknowledgement The presented research was carried out in the Hans-Ertel Centre for Weather Research. ...
doi:10.1127/0941-2948/2014/0558
fatcat:xwzhd27iyzhrha5dsq2m73rkge
Low cloud precipitation climatology in the southeastern Pacific marine stratocumulus region using CloudSat
2013
Environmental Research Letters
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The authors thank Sandra Yuter and Matthew Miller for providing the VOCALS C-band reflectivity and rain rate histograms used for comparison in this paper. ...
The authors also thank Chris Fairall and NOAA ESRL for providing the W-band motion-corrected radar reflectivity profiles. ...
This satellite estimate is then adjusted by the large-scale average surface rain gauge precipitation and the gauge-adjusted satellite estimate is combined with the gauge analysis to produce the monthly ...
doi:10.1088/1748-9326/8/1/014027
fatcat:v6kkib4jkrahtnhtabtdd5ry3m
Hydrological Aspects of Weather Prediction and Flood Warnings: Report of the Ninth Prospectus Development Team of the U.S. Weather Research Program
2000
Bulletin of The American Meteorological Society - (BAMS)
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of precipitation fields and rates, along with the use of this information in hydrological models and for improving and validating microphysical algorithms in meteorological models; (c) comparisons of ...
quantitative precipitation estimation algorithms from both research (especially multiparameter) and operational radars against gauge data as well as output produced by meso-and storm-scale models; (d) ...
Gall in this same role during the final stages of this report. The authors also are grateful for contributions by W. Hooke, T. Graziano, J. Schaake, L. D. James, and D. Lettenmaier. ...
doi:10.1175/1520-0477(2000)081<2665:haowpa>2.3.co;2
fatcat:6f6c5k45onajvfagezpmk5srru
Multisensor Comparison and Numerical Modeling of Atmospheric Water Fields: A VOLTAIRE Case Study over Cyprus
2008
Weather and forecasting
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Ground-based radar and rain gauge data were merged together in order to obtain a better representation of the rainfall event over the island. ...
This paper presents a study performed within the framework of the European Union's (EU) VOLTAIRE project (Fifth Framework Programme). ...
Our thanks go also to all VOLTAIRE partners that were involved in the overall discussions about comparisons between the radar and model fields. We also wish to thank Prof. ...
doi:10.1175/2007waf2007032.1
fatcat:ahjp64kbobapjdauuzoru7hgiq
Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolution
2011
Hydrology and Earth System Sciences
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Specifically, in the Peruvian Andes spatially and temporally coherent precipitation information is a prerequisite for ongoing climate change adaptation projects in the fields of water resources, disasters ...
In order to profit from the TMPA combination product on a daily basis, a procedure to blend it with daily precipitation gauge measurements is proposed. ...
Climatico in Peru (PACC) and SENAMHI Peru. ...
doi:10.5194/hess-15-2649-2011
fatcat:bcq5kcr255hejakqxasl54ksje
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