Automated Precipitation Detection and Typing in Winter: A Two-Year Study

Autor:	P. I. Joe, B. E. Sheppard
Rok vydání:	2000
Předmět:	Atmospheric Science Observer (quantum physics) Forecast skill Sampling (statistics) Environmental science Figure of merit Ocean Engineering Precipitation False positive rate Microwave Statistical power Remote sensing
Zdroj:	Journal of Atmospheric and Oceanic Technology. 17:1493-1507
ISSN:	1520-0426 0739-0572
DOI:	10.1175/1520-0426(2000)017<1493:apdati>2.0.co;2
Popis:	Precipitation detection and typing estimates from four sensors are evaluated using standard operational meteorological observations as a reference. All are active remote sensors radiating into a measurement volume near the sensor, and measuring some property of the scattered radiation. Three of the sensors use optical wavelengths and one uses microwave wavelengths. A new analysis approach for comparison of the time series from the observer and instruments is presented. This approach reduces the mismatch of the different sampling intervals and response times of humans and instruments when observing precipitation events. The algorithm postprocesses the minutely output estimates from the sensors in a window of time around the nominal time of the human observation. The paper examines the relationship between the probability of detection and false alarm ratio for these sensors. In order to represent the “trade-off” between these parameters, the Heidke skill score is used as a figure of merit in compar...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::540cf4296664945633c4d8a8cef1d0ff https://doi.org/10.1175/1520-0426(2000)017<1493:apdati>2.0.co Zobrazit plný text záznamu Plný text ve formátu PDF