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Showing 1 to 16 of 16 for “"Global Precipitation Measurement"”.
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Simulation of the sampling properties of the Global Precipitation Measurement Mission
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.
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Improving active remote sensing retrievals of snowfall at microwave wavelengths: an emphasis on the global precipitation measurement mission’s dual-frequency precipitation radar
… radar capable of measuring snowfall is the Global Precipitation Measurement mission’s Dual-frequency Precipitation Radar (GPM-DPR). Initial evaluations of the retrieval of near-surface snowfall from GPM-DPR against the common global snowfall reference (i.e., CloudSat) showed large …
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Integrative Analysis of Policy Changes for a Coastal Watershed: Implications for Agriculture and Ecosystem Health
… assesses the effectiveness of various satellite precipitation products and autocalibration techniques on river flow prediction, highlighting the superior performance of the Global Precipitation Measurement Integrated Multi-satellitE Retrievals (GPM IMERG) dataset when combined with the …
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Advancing the Accuracy of Watershed Analysis Across Diverse Hydrometeorological and Geologic Regimes via Classification and Analysis of GPM-IMERG Products
… with high-resolution, satellite-based Global Precipitation Measurement – Integrated Multi-satellitE Retrievals for GPM (GPM-IMERG) data, I improve the speed and accuracy of catchment identification and hydrodynamic characterization via an enhanced Empirically Constrained Hydrologic …
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Evaluations of microphysical parameterizations in retrieval algorithms for snowfall particle size distributions from dual frequency radar measurements
Dual Frequency Ku and Ka radar measurements from the Global Precipitation Measurement (GPM) satellite have the potential for novel retrievals of snowfall precipitation from space. These retrievals are dependent on assumptions that relate the maximum measured dimension of a snowflake to its mass and …
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Satellite System Safety Analysis Using STPA
… to the launch and mission phases of a NASA/JAXA Global Precipitation Measurement (GPM) Core Observatory-based satellite. Exploiting the fact that nearly all satellites follow similar lifecycles and employ common functional architectures with relatively-decoupled, unique mission payloads, a …
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Data assimilation and dynamical downscaling of remotely-sensed precipitation and soil moisture from space
… system that integrates remotely-sensed precipitation and soil moisture observations into physically-based models to produce fine-scale precipitation, soil moisture, and other relevant hydrometeorological variables. This is particularly useful with the active Global Precipitation …
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Cross validation of observations from the GPM dual-frequency precipitation radar and dual-polarization S-band ground radars
… of observations and various products of the Global Precipitation Measurement (GPM) Mission Satellite with dual polarization S-Band Ground Radars. The GPM mission is a joint venture by the NASA and the JAXA. The radar on board the core observatory is a dual-frequency precipitation radar (DPR) …
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Spatial pattern of African Easterly Waves and their Precipitation in Northern Africa
… the spatial distribution of AEWs and their precipitation using the Tropical Easterly Waves Climatology and the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG). First, a spatial filter is used to limit 2001-2021 tropical easterly waves to only waves over the …
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Quantifying various thunderstorm characteristics during high impact events using radar and satellite observations
… the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) and ground radar based Multi-Radar Multi-Sensor Quantitative Precipitation Estimates (MRMS) over the United States and show that the object-based storm properties are not sensitive to the observational …
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Evaluation of triple-frequency radar retrieval of snowfall properties using coincident airborne in-situ observations during olympex
… coincident with airborne in-situ microphysical measurements. Data from the Olympic Mountains Experiment (OLYMPEX) resulted in 2.2 hours of observations that showed the Ku-Ka-W DFR plane offered little unambiguous information about particle shape. Analysis of a case study on 3 December 2015 is …
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Parameterizing PSD assumptions for remote sensing algorithms
The Global Precipitation Measurement (GPM) mission Core satellite is the next generation of spacebased precipitation monitoring. Upgrading the ability to measure light precipitation and snowfall from a nearly global perspective. With these new capabilities comes new levels of uncertainty within the …
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Improving Global Satellite Precipitation Products Utilizing Machine Learning
… of machine learning and deep learning to improve global satellite precipitation products. This includes providing practical guidance and analysis to determine which sensor or algorithm can provide the most effective precipitation input to the Integrated Multi-satellitE Retrievals for Global …
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From groundwater to the atmosphere: using RELAMPAGO observations and modeling to understand changes in the hydrologic cycle of southeastern South America
… in turn affect the overlying atmosphere and precipitation. Understanding the hydrologic cycle, and its drivers at a regional scale are of particular interest as they are the key in assessing hydrometeorological consequences associated with climate and land surface variability. Past satellite …
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Tropical oceanic mesoscale cold pools in observations and models
… and kinematic properties. In situ buoy measurements of air temperature were also used to validate ASCAT-identified cold pools. Quantitative skill metrics demonstrate that the technique has a low false alarm rate (<10%), high critical success index (>85%), and a low bias (~1). The GF …
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Characterization and modeling of aerosol-cloud interactions toward the improvement of rainfall estimation in high mountains
<p>In high elevated regions, ground-based precipitation measurements are scarce or non-existing. Remote sensing estimates are prone to underestimation due to a lack of sensitivity to light precipitation and ground-clutter contamination of radar signals by steep terrain. The latter creates a blind …