The System for Integrating Multiplatform Data to Build the Atmospheric Column (SIMBA) Precipitation Observation Fusion FrameworkSource: Journal of Atmospheric and Oceanic Technology:;2018:;volume 035:;issue 007::page 1353Author:Wingo, Stephanie M.
,
Petersen, Walter A.
,
Gatlin, Patrick N.
,
Pabla, Charanjit S.
,
Marks, David A.
,
Wolff, David B.
DOI: 10.1175/JTECH-D-17-0187.1Publisher: American Meteorological Society
Abstract: AbstractResearchers now have the benefit of an unprecedented suite of space- and ground-based sensors that provide multidimensional and multiparameter precipitation information. Motivated by NASA?s Global Precipitation Measurement (GPM) mission and ground validation objectives, the System for Integrating Multiplatform Data to Build the Atmospheric Column (SIMBA) has been developed as a unique multisensor precipitation data fusion tool to unify field observations recorded in a variety of formats and coordinate systems into a common reference frame. Through platform-specific modules, SIMBA processes data from native coordinates and resolutions only to the extent required to set them into a user-defined three-dimensional grid. At present, the system supports several ground-based scanning research radars, NWS NEXRAD radars, profiling Micro Rain Radars (MRRs), multiple disdrometers and rain gauges, soundings, the GPM Microwave Imager and Dual-Frequency Precipitation Radar on board the Core Observatory satellite, and Multi-Radar Multi-Sensor system quantitative precipitation estimates. SIMBA generates a new atmospheric column data product that contains a concomitant set of all available data from the supported platforms within the user-specified grid defining the column area in the versatile netCDF format. Key parameters for each data source are preserved as attributes. SIMBA provides a streamlined framework for initial research tasks, facilitating more efficient precipitation science. We demonstrate the utility of SIMBA for investigations, such as assessing spatial precipitation variability at subpixel scales and appraising satellite sensor algorithm representation of vertical precipitation structure for GPM Core Observatory overpass cases collected in the NASA Wallops Precipitation Science Research Facility and the GPM Olympic Mountain Experiment (OLYMPEX) ground validation field campaign in Washington State.
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| contributor author | Wingo, Stephanie M. | |
| contributor author | Petersen, Walter A. | |
| contributor author | Gatlin, Patrick N. | |
| contributor author | Pabla, Charanjit S. | |
| contributor author | Marks, David A. | |
| contributor author | Wolff, David B. | |
| date accessioned | 2019-09-19T10:03:39Z | |
| date available | 2019-09-19T10:03:39Z | |
| date copyright | 4/19/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier other | jtech-d-17-0187.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4261088 | |
| description abstract | AbstractResearchers now have the benefit of an unprecedented suite of space- and ground-based sensors that provide multidimensional and multiparameter precipitation information. Motivated by NASA?s Global Precipitation Measurement (GPM) mission and ground validation objectives, the System for Integrating Multiplatform Data to Build the Atmospheric Column (SIMBA) has been developed as a unique multisensor precipitation data fusion tool to unify field observations recorded in a variety of formats and coordinate systems into a common reference frame. Through platform-specific modules, SIMBA processes data from native coordinates and resolutions only to the extent required to set them into a user-defined three-dimensional grid. At present, the system supports several ground-based scanning research radars, NWS NEXRAD radars, profiling Micro Rain Radars (MRRs), multiple disdrometers and rain gauges, soundings, the GPM Microwave Imager and Dual-Frequency Precipitation Radar on board the Core Observatory satellite, and Multi-Radar Multi-Sensor system quantitative precipitation estimates. SIMBA generates a new atmospheric column data product that contains a concomitant set of all available data from the supported platforms within the user-specified grid defining the column area in the versatile netCDF format. Key parameters for each data source are preserved as attributes. SIMBA provides a streamlined framework for initial research tasks, facilitating more efficient precipitation science. We demonstrate the utility of SIMBA for investigations, such as assessing spatial precipitation variability at subpixel scales and appraising satellite sensor algorithm representation of vertical precipitation structure for GPM Core Observatory overpass cases collected in the NASA Wallops Precipitation Science Research Facility and the GPM Olympic Mountain Experiment (OLYMPEX) ground validation field campaign in Washington State. | |
| publisher | American Meteorological Society | |
| title | The System for Integrating Multiplatform Data to Build the Atmospheric Column (SIMBA) Precipitation Observation Fusion Framework | |
| type | Journal Paper | |
| journal volume | 35 | |
| journal issue | 7 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-17-0187.1 | |
| journal fristpage | 1353 | |
| journal lastpage | 1374 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2018:;volume 035:;issue 007 | |
| contenttype | Fulltext |