Characteristics of energy dissipation rate and effect of humidity on turbulence echo power revealed by MU radar-RASS Measurements

Furumoto, Jun-ichi; Tsuda, Toshitaka

doi:10.1016/s1364-6826(00)00130-9

Cited by 24 publications

(27 citation statements)

References 17 publications

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“…The relation between radar-derived h ðh turb Þ and dq/dz was revealed with the wind profiler and radiosonde observation (Hocking and Mu 1997;Furumoto et al 2001).…”

Section: Principle Of Humidity Estimation From Turbulence Echomentioning

confidence: 92%

“…For the MU radar measurements, we chose the top boundary as the initial humidity point. The time interpolated humidity, measured by the successive radiosondes, are used for the initial humidity reference, because the time variations of q in upper height are generally small (Furumoto et al 2003). However, in case of the LTR, it is not appropriate to employ time-interpolated humidity observed by radiosondes as reference, since the time variations of the humidity in lower height may be large enough.…”

Section: Humidity Profilesmentioning

confidence: 99%

“…In order to monitor humidity profiles continuously, regardless of day or night, or weather conditions, a radar remote-sensing technique, to measure humidity profiles has been developed at NOAA (National Oceanic Atmospheric Administration) and Kyoto University, by using a 913 MHz BLR (e.g., Gossard et al 1998;Stankov et al 2003) and the MU radar on 46.5 MHz (e.g., Tsuda et al 2001;Furumoto et al 2003), respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Tsuda et al (2001) estimated a humidity profile from the MU radar-RASS data using the correlation between M and squared Brunt-Vä isä lä frequency ðN 2 Þ. Furumoto et al (2003) developed a new method for continuous humidity observations using PWV obtained by GPS receiver, considering time continuity of the humidity. They successfully monitored the wind velocity, temperature and humidity profiles at 1.5-7.5 km with time and height resolution of 30 minutes and 150 m, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, the humidity estimation technique, used in Furumoto et al (2003) is applied to observe the boundary layer humidity by the L-band lower troposphere radar (LTR), developed by Hashiguchi et al (2004). The continuous virtual temperature ðT v Þ measured by the LTR-RASS is used for the humidity estimation algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Humidity Profiles with the L-Band Boundary Layer Radar-RASS Measurements

Furumoto

Iwai

Fujii

et al. 2005

Journal of the Meteorological Society of Japan

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A radar remote-sensing technique of humidity profiles, which was originally developed for the middle and upper atmosphere radar (the MU radar), is applied to the lower troposphere radar (LTR) with Radio Acoustic Sounding System (RASS) operated on L-band (1357.5 MHz) in order to expand the height range into the atmospheric boundary layer. Radar volume reflectivity and turbulence energy dissipation rate are derived from LTR observations of turbulence echoes. Virtual temperature profiles are simulta- A kytoon was moored at about 160 m during the radar operation, and monitored temperature, pressure and humidity, though not continuously, which are used for defining the lower boundary values in retrieving q profiles. By using the RASS temperature, and kytoon data, we could successfully estimate continuous q profiles. The radar-derived q profiles generally agreed with radiosonde data. This study successfully demonstrated a potential of the humidity estimation with the LTR in the atmospheric boundary layer. Future long-term observation is expected to investigate the precision under various meteorological conditions.

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“…The relation between radar-derived h ðh turb Þ and dq/dz was revealed with the wind profiler and radiosonde observation (Hocking and Mu 1997;Furumoto et al 2001).…”

Section: Principle Of Humidity Estimation From Turbulence Echomentioning

confidence: 92%

Section: Humidity Profilesmentioning

confidence: 99%