Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System
The Remote Atmospheric Processing and Information Display (RAPID) system has been developed at the Geophysics Directorate of Phillips Laboratory to provide an environment for the creation and testing of image processing techniques of remotely sensed data. The first objective of RAPID was to provide...
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description | The Remote Atmospheric Processing and Information Display (RAPID) system has been developed at the Geophysics Directorate of Phillips Laboratory to provide an environment for the creation and testing of image processing techniques of remotely sensed data. The first objective of RAPID was to provide nowcasts of cloud and precipitation fields. This is done for cloud fields by tracking and extrapolating contours of infrared bright temperatures from a geostationary satellite. Precipitation fields are forecast by tracking and extrapolating radar reflectivity contours. Currently, there are three techniques in RAPID to extrapolate the future position and shape of contours. The three techniques are the Whole Contour, Segmentation, and Statistical Extrapolation methods. The are all similar in that the contours are represented mathematically, the mathematical features are extrapolated out in time, and forecasted features are used to construct the forecast contour. Tests of the three techniques were conducted using data from the GOES satellite (IR) and the Phillips Laboratory's 10-cm Doppler weather radar. The initial results indicate that, for both satellite and radar data, all three methods do show skill with respect to persistence and produce forecasts that are comparable to each other. |
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The first objective of RAPID was to provide nowcasts of cloud and precipitation fields. This is done for cloud fields by tracking and extrapolating contours of infrared bright temperatures from a geostationary satellite. Precipitation fields are forecast by tracking and extrapolating radar reflectivity contours. Currently, there are three techniques in RAPID to extrapolate the future position and shape of contours. The three techniques are the Whole Contour, Segmentation, and Statistical Extrapolation methods. The are all similar in that the contours are represented mathematically, the mathematical features are extrapolated out in time, and forecasted features are used to construct the forecast contour. Tests of the three techniques were conducted using data from the GOES satellite (IR) and the Phillips Laboratory's 10-cm Doppler weather radar. The initial results indicate that, for both satellite and radar data, all three methods do show skill with respect to persistence and produce forecasts that are comparable to each other.</description><language>eng</language><subject>ARTIFICIAL SATELLITES ; BRIGHTNESS ; CLOUD COVER ; CLOUDS ; CONTOURS ; Cybernetics ; DISPLAY SYSTEMS ; EXTRAPOLATION ; FORECASTING ; GEOPHYSICS ; IMAGE PROCESSING ; INFRARED IMAGES ; INFRARED RADIATION ; MATHEMATICS ; Meteorology ; NOWCASTING ; PE62101F ; PRECIPITATION ; RADAR ; RADAR IMAGES ; RADAR REFLECTIONS ; RAPID(REMOTE ATMOSPHERIC PROCESSING AND INFORMATION DISPLAY) ; SEGMENTED ; SHAPE ; STATISTICAL ANALYSIS ; STATISTICAL PROCESSES ; SYNCHRONOUS SATELLITES ; TEMPERATURE ; TRACKING ; Unmanned Spacecraft ; WUPL66701029</subject><creationdate>1991</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA241662$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ruggiero, Frank H</creatorcontrib><creatorcontrib>Heideman, Kenneth F</creatorcontrib><creatorcontrib>PHILLIPS LAB HANSCOM AFB MA</creatorcontrib><title>Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System</title><description>The Remote Atmospheric Processing and Information Display (RAPID) system has been developed at the Geophysics Directorate of Phillips Laboratory to provide an environment for the creation and testing of image processing techniques of remotely sensed data. The first objective of RAPID was to provide nowcasts of cloud and precipitation fields. This is done for cloud fields by tracking and extrapolating contours of infrared bright temperatures from a geostationary satellite. Precipitation fields are forecast by tracking and extrapolating radar reflectivity contours. Currently, there are three techniques in RAPID to extrapolate the future position and shape of contours. The three techniques are the Whole Contour, Segmentation, and Statistical Extrapolation methods. The are all similar in that the contours are represented mathematically, the mathematical features are extrapolated out in time, and forecasted features are used to construct the forecast contour. Tests of the three techniques were conducted using data from the GOES satellite (IR) and the Phillips Laboratory's 10-cm Doppler weather radar. The initial results indicate that, for both satellite and radar data, all three methods do show skill with respect to persistence and produce forecasts that are comparable to each other.</description><subject>ARTIFICIAL SATELLITES</subject><subject>BRIGHTNESS</subject><subject>CLOUD COVER</subject><subject>CLOUDS</subject><subject>CONTOURS</subject><subject>Cybernetics</subject><subject>DISPLAY SYSTEMS</subject><subject>EXTRAPOLATION</subject><subject>FORECASTING</subject><subject>GEOPHYSICS</subject><subject>IMAGE PROCESSING</subject><subject>INFRARED IMAGES</subject><subject>INFRARED RADIATION</subject><subject>MATHEMATICS</subject><subject>Meteorology</subject><subject>NOWCASTING</subject><subject>PE62101F</subject><subject>PRECIPITATION</subject><subject>RADAR</subject><subject>RADAR IMAGES</subject><subject>RADAR REFLECTIONS</subject><subject>RAPID(REMOTE ATMOSPHERIC PROCESSING AND INFORMATION DISPLAY)</subject><subject>SEGMENTED</subject><subject>SHAPE</subject><subject>STATISTICAL ANALYSIS</subject><subject>STATISTICAL PROCESSES</subject><subject>SYNCHRONOUS SATELLITES</subject><subject>TEMPERATURE</subject><subject>TRACKING</subject><subject>Unmanned Spacecraft</subject><subject>WUPL66701029</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1991</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNqFjj0PgkAQRGksjPoPLLbUwkI09AQk2hiDWpPL3SKb3Adh1yj_XlF7qynmvcmMo-cxPLRiIX-DzIa7AeUNnDrU1JIooeChILSG4coDJA1CiS4IQioucNtgR_ptBI38IYaBg69D5756Ttxa1cOiVC2ZJZx7FnTTaFQryzj75SSaF7tLtl8ZIV0Nh1CqNE_j7TpJ4s2f-gXGMELi</recordid><startdate>19911008</startdate><enddate>19911008</enddate><creator>Ruggiero, Frank H</creator><creator>Heideman, Kenneth F</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19911008</creationdate><title>Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System</title><author>Ruggiero, Frank H ; Heideman, Kenneth F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA2416623</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1991</creationdate><topic>ARTIFICIAL SATELLITES</topic><topic>BRIGHTNESS</topic><topic>CLOUD COVER</topic><topic>CLOUDS</topic><topic>CONTOURS</topic><topic>Cybernetics</topic><topic>DISPLAY SYSTEMS</topic><topic>EXTRAPOLATION</topic><topic>FORECASTING</topic><topic>GEOPHYSICS</topic><topic>IMAGE PROCESSING</topic><topic>INFRARED IMAGES</topic><topic>INFRARED RADIATION</topic><topic>MATHEMATICS</topic><topic>Meteorology</topic><topic>NOWCASTING</topic><topic>PE62101F</topic><topic>PRECIPITATION</topic><topic>RADAR</topic><topic>RADAR IMAGES</topic><topic>RADAR REFLECTIONS</topic><topic>RAPID(REMOTE ATMOSPHERIC PROCESSING AND INFORMATION DISPLAY)</topic><topic>SEGMENTED</topic><topic>SHAPE</topic><topic>STATISTICAL ANALYSIS</topic><topic>STATISTICAL PROCESSES</topic><topic>SYNCHRONOUS SATELLITES</topic><topic>TEMPERATURE</topic><topic>TRACKING</topic><topic>Unmanned Spacecraft</topic><topic>WUPL66701029</topic><toplevel>online_resources</toplevel><creatorcontrib>Ruggiero, Frank H</creatorcontrib><creatorcontrib>Heideman, Kenneth F</creatorcontrib><creatorcontrib>PHILLIPS LAB HANSCOM AFB MA</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ruggiero, Frank H</au><au>Heideman, Kenneth F</au><aucorp>PHILLIPS LAB HANSCOM AFB MA</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System</btitle><date>1991-10-08</date><risdate>1991</risdate><abstract>The Remote Atmospheric Processing and Information Display (RAPID) system has been developed at the Geophysics Directorate of Phillips Laboratory to provide an environment for the creation and testing of image processing techniques of remotely sensed data. The first objective of RAPID was to provide nowcasts of cloud and precipitation fields. This is done for cloud fields by tracking and extrapolating contours of infrared bright temperatures from a geostationary satellite. Precipitation fields are forecast by tracking and extrapolating radar reflectivity contours. Currently, there are three techniques in RAPID to extrapolate the future position and shape of contours. The three techniques are the Whole Contour, Segmentation, and Statistical Extrapolation methods. The are all similar in that the contours are represented mathematically, the mathematical features are extrapolated out in time, and forecasted features are used to construct the forecast contour. Tests of the three techniques were conducted using data from the GOES satellite (IR) and the Phillips Laboratory's 10-cm Doppler weather radar. The initial results indicate that, for both satellite and radar data, all three methods do show skill with respect to persistence and produce forecasts that are comparable to each other.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ARTIFICIAL SATELLITES BRIGHTNESS CLOUD COVER CLOUDS CONTOURS Cybernetics DISPLAY SYSTEMS EXTRAPOLATION FORECASTING GEOPHYSICS IMAGE PROCESSING INFRARED IMAGES INFRARED RADIATION MATHEMATICS Meteorology NOWCASTING PE62101F PRECIPITATION RADAR RADAR IMAGES RADAR REFLECTIONS RAPID(REMOTE ATMOSPHERIC PROCESSING AND INFORMATION DISPLAY) SEGMENTED SHAPE STATISTICAL ANALYSIS STATISTICAL PROCESSES SYNCHRONOUS SATELLITES TEMPERATURE TRACKING Unmanned Spacecraft WUPL66701029 |
title | Nowcasting Cloud and Precipitation Fields Using the Remote Atmospheric Processing and Information Display (Rapid) System |
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