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Below is a list of tools helpful for using PPS products. Lower down on the page are a series of visualizations associated with PPS and STORM.


Swath-Based Analysis Tool Analysis Tool

The Swath Analysis Tool gives users the ability to generate time series of basic statistics from Level 2 products for any geographic domain. The available statistical properties for the variable "Surface Precipitation" include mean, conditional mean, median, maximum, standard deviation, percent of pixels with precipitation, and total swath pixels in domain. The chart generated is fully interactive and contains the ability to jump from a data point to the STORM Virtual Globe visualization of the product. It can be exported as an image, and the data can be exported as a CSV file, either all of the data or just what are visible in the chart.

GPM NRT Viewer GPM NRT Viewer

The GPM Near Real Time Viewer enables the visualization of various variables within Level 1 GMI; Level 2 GPM Profiling Algorithm (GPROF), Dual-Frequency Precipitation Radar (DPR), and Combined (CMB); and Level 3 IMERG Half Hour products. It animates the progress of the GPM Core satellite over the Earth‘s surface in virtual real time and will continue to animate as data areacquired for as long as the browser window is open. Between 15 and 30 minutes of data are visible at any given time. Twenty-four hours of files are available at any given time, and the interface enables efficient switching between time intervals within that day of data.

STORM Event Viewer STORM Event Viewer

The STORM Event Viewer combines DPR and GMI data to provide both surface and 3D precipitation rate values. In the STORM Event Viewer, GMI maintains the same precipitation rate color scheme used in STORM VG, but DPR is given a different color scale to contrast the vertical values with the surface values. Because it can be difficult given all of the data points to assess verticality within storms, Event Viewer gives users the ability to change the color scheme for DPR from precipitation-based to altitude-based, highlighting deep convection and "hot towers" in tropical systems.

Orbit Viewer THOR Orbit Viewer THOR

Orbit Viewer THOR is a tool for displaying the standard data products of the Global Precipitation Measurement (GPM) mission and Tropical Rainfall Measuring Mission (TRMM). THOR stands for the Tool for High-resolution Observation Review. THOR displays GPM and TRMM products on a map of the Earth when possible, and otherwise, as 2D plots or text output. Since 1997, the Precipitation Processing System (PPS) at NASA Goddard has developed and distributed many versions of Orbit Viewer THOR.

Overflight Finder Overflight Finder

The Overflight Finder gives unregistered users the ability to determine when a platform flew over a location/region within a certain time frame.

Satellite-Satellite Coincidence SatCoinViewer

The Satellite-Satellite Coincidence Finder gives unregistered users the ability to find when two satellites flew over the same region within a certain tolerance of minutes.

PPS Toolkit PPS Toolkit

The purpose of the Science Algorithm Input/Output Toolkit (TKIO) is twofold. First, the Toolkit provides a set of commonly used routines and constants for algorithm developers and researchers. These commonly used items have been placed in the Science Algorithm Input/Output Toolkit to reduce the amount of parallel code development. By taking care of low-level details, the Precipitation Processing System (PPS) TKIO can greatly simplify the input/output (I/O) code that algorithm developers and researchers need to write.


STORM Steady-State Spiral Visualization STORM Spiral Steady-State

Merging GMI GPROF precipitation rate data with High-Resolution Rapid Refresh (HRRR) model output (from NOAA NCEP), the STORM Steady-State Spiral Visualization depicts the breadth of Hurricane Harvey‘s precipitation prior to making landfall. It uses finite differencing to move the parcels over time, and a nearest neighbor approach for calculating both the precipitation value and the wind speed/direction for each iteration.

STORM Time-Lapse Spiral Visualization STORM Spiral Time-Lapse

Merging IMERG precipitation rate data with High-Resolution Rapid Refresh (HRRR) model output (from NOAA NCEP), the STORM Time-Lapse Spiral Visualization depicts the progress of Hurricane Matthew as it grazed the eastern shore of Florida in 2016. The code uses finite differencing to move the parcels over time, and a nearest neighbor approach for calculating both the precipitation value and the wind speed/direction for each iteration.

STORM Falling Precipitation STORM Falling Precip

Relating DPR observed mean diameter to precipitation rate, the Falling Precipitation demo illustrates a large swath of mixed-phase precipitation falling at varying speeds. The animation depicts a transitioning Typhoon Lan with deep convection, showing how frozen precipitation falls quite slowly, and then accelerates upon transitioning to liquid.

STORM Video Test STORM Video Test

This demo was meant as a technical proof of concept for how we could display user-created IMERG animations on a Cesium globe.

HWRF Demo - Nepartak HWRF Demo

Pushing as many points as CesiumJS can handle, the HWRF demo sought to illustrate simulated radar reflectivity from the HWRF 3km nest model. By enabling the adding and removing of layers of reflectivity, users could investigate where the regions of simulated highest intensity would be. By moving forward and backward in time, the user could see how the model anticipated the evolution of the storm. This moving in time also proved that CesiumJS point relocation was more efficient than destruction and creation.

HWRF Demo v2 - Sylvester HWRF Demo v2

Instead of points, the goal of this demo was to display as many billboards as possible and use them to illustrate model output wind fields at different pressure levels. As with points, we relocated them instead of destroying and recreating them when moving forward and backward in time.

IMERG Animation IMERG Animation

Built to test how effectively we could animate IMERG precipitation pixels forward in time using CesiumJS. Covers a day over the United States moving forward at approximately 10 frames per second.

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