Title :
Non-systematic errors of monthly oceanic rain rate from microwave radiometry
Author :
Chang, Alfred T C ; Chiu, Long S.
Author_Institution :
Hydrological Sci. Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
Global monthly rainfall maps derived from microwave sensors are now routinely produced from data collected by the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave Imager (SSM/I) and Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI). Since the DMSP (F-13 and F-14) and TMI satellites have different orbits and swath structure, they have different sampling errors. In this paper the non-systematic errors, which are dominated by sampling errors, of monthly oceanic rainfall over 5° latitude by 5° longitude boxes are calculated separately for SSM/Is and TMI for three years (1998 to 2000). The non-systematic errors are 21.4%, 21.9% and 19.1% for SSM/I of F-13 and F-14, and TMI, respectively. The nonsystematic error for TMI is less than 1 mm day-1 for rain rates up to 6 mm day-1 , and is about 15-20% at higher rain rates. This is smaller than that for either F-13 or F-14 SSM/I alone at the low rain rates, but is comparable at the high rain rates (>6 mm day-1). A combination of F-13 and F-14 SSM/I rain rates reduces the nonsystematic error to slightly lower (15.2%) than that of the TMI alone. It is argued that a refined space-borne sampling strategy, such as that proposed by the Global Precipitation Mission (GPM), is needed to reduce the sampling errors to better than 10% at high rain rates
Keywords :
atmospheric techniques; error analysis; microwave measurement; radiometry; rain; AD 1998 to 2000; Global Precipitation Mission; SSM/I data; Special Sensor Microwave Imager data; TRMM Microwave Imager data; Tropical Rainfall Measuring Mission Microwave Imager data; global monthly rainfall maps; microwave radiometry; monthly oceanic rain rate; nonsystematic errors; sampling errors; space-bome sampling strategy; Extraterrestrial measurements; Image sampling; Image sensors; Meteorology; Microwave measurements; Microwave sensors; Rain; Sampling methods; Satellites; Sea measurements;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976585