5:15 PM - 6:30 PM
[ACG36-P14] Comparative analysis between precipitation measurement by a satellite and meteorological observation by a high density ground surface observation network
Keywords: high density, ground surface observation, ground truth, GPM, DPR, GSMaP
It is generally said that the meteorological observation data by ground surface observation equipment is very few. On the other hand, the calibration / validation by ground truth are essential in order to maintain the high accuracy of precipitation observation technology by a satellite. The ground meteorological observation data is by no means the ground truth. But, the existence of ground meteorological observation data is very valuable.
POTEKA(POint TEnki KAnsoku in Japanese) equipment can observe the eight meteorological variables such as temperature, relative humidity, sea-level pressure, wind speed, wind direction, sunshine, rain and precipitation. The five variables of temperature, relative humidity, sea-level pressure, wind speed and precipitation are certificated by JMA. As of 2020, approximately 900 POTEKA points have installed in the whole of Japan. Although it is not uniform such as AMeDAS observation network, the localized but high density ground surface meteorological observation network can be consisted of these POTEKAs. We have some cases that POTEKA has a high density network in the mountain area where AMeDAS observation point is relatively few. POTEKA started around 2013 at the earliest observation point. Therefore, POTEKA history is very short compared with AMeDAS history of more than 40 years. But, some POTEKA points have the history of multiple years.
We have performed the comparative analysis of precipitation observation data between the satellite such as GPM(Global Precipitation Measurement)/DPR(Dual-frequency Precipitation Radar), GSMaP(Global Satellite Mapping of Precipitation), etc. and the ground surface of POTEKA. The analysis realm is a pinpoint in the both spatial and temporal aspects. Therefore, it is by no means universal analysis. But, we have confirmed some cases of the precipitation underestimation of satellite observation technology on the mountain area or on the torrential rainy season which has the occurrence of a linear precipitation zone.
We will continue to perform the comparative analysis of precipitation observation data between satellite and POTEKA in the future. Particularly, we will concentrate on the comparative analysis for the precipitation underestimation of satellite observation technology in order to acquire the knowledge to maintain the high accuracy. Moreover, in the observation case of the rare and localized meteorological change such as downburst and tornado, we will also perform the same comparative analysis in order to acquire the new knowledge for a rare meteorological phenomenon.
POTEKA(POint TEnki KAnsoku in Japanese) equipment can observe the eight meteorological variables such as temperature, relative humidity, sea-level pressure, wind speed, wind direction, sunshine, rain and precipitation. The five variables of temperature, relative humidity, sea-level pressure, wind speed and precipitation are certificated by JMA. As of 2020, approximately 900 POTEKA points have installed in the whole of Japan. Although it is not uniform such as AMeDAS observation network, the localized but high density ground surface meteorological observation network can be consisted of these POTEKAs. We have some cases that POTEKA has a high density network in the mountain area where AMeDAS observation point is relatively few. POTEKA started around 2013 at the earliest observation point. Therefore, POTEKA history is very short compared with AMeDAS history of more than 40 years. But, some POTEKA points have the history of multiple years.
We have performed the comparative analysis of precipitation observation data between the satellite such as GPM(Global Precipitation Measurement)/DPR(Dual-frequency Precipitation Radar), GSMaP(Global Satellite Mapping of Precipitation), etc. and the ground surface of POTEKA. The analysis realm is a pinpoint in the both spatial and temporal aspects. Therefore, it is by no means universal analysis. But, we have confirmed some cases of the precipitation underestimation of satellite observation technology on the mountain area or on the torrential rainy season which has the occurrence of a linear precipitation zone.
We will continue to perform the comparative analysis of precipitation observation data between satellite and POTEKA in the future. Particularly, we will concentrate on the comparative analysis for the precipitation underestimation of satellite observation technology in order to acquire the knowledge to maintain the high accuracy. Moreover, in the observation case of the rare and localized meteorological change such as downburst and tornado, we will also perform the same comparative analysis in order to acquire the new knowledge for a rare meteorological phenomenon.