It is important to grasp ground motion distributions right after a major earthquake. Ground motion is very sensitive to subsurface structure, but because seismic stations are sparsely distributed, it is necessary to estimate ground motion distributions at sites with no stations from subsurface structure data at those sites and ground motions data recorded only at surrounding stations. In this study, we investigated relationship between ground motion and subsurface structure to estimate ground motion distribution applying corrections according to the subsurface structure differences. Maximum velocity responses with a period of 3 s or longer were correlated with the first natural period of the deep subsurface structure, but maximum velocity responses with a shorter period correlated more strongly with the average S-wave velocity in the upper 30 m (AVS30) than with the first natural period. However, the ratios of maximum velocity responses at one station to those at a nearby station often differed for different earthquakes, indicating that there is limitation in estimating the ratios of maximum velocity responses only from the subsurface structures. Moreover, we did not detect any notable correlations between the subsurface structures and the durations of the velocity responses. Although these results were obtained by using relative velocity responses, similar results were obtained when pseudo-velocity responses were used.
We examined the standard gas scales and the stability of methane (CH4) standard gases that have been used for atmospheric measurements at the Japan Meteorological Agency (JMA) since 2000. Calibration of the JMA standards at the National Oceanic and Atmospheric Administration (NOAA) using the NOAA04 gravimetric scale, which is the accepted World Meteorological Organization (WMO) CH4 mole fraction scale, showed that CH4 mole fractions in the NOAA04 scale differ by +1.3 to −4.5 nmol mol−1 from those in the gravimetric scale in use at JMA. We established a linear relationship between the differences, which can be used for conversion between the two scales. Stability tests showed significant drift of −1 nmol mol−1 yr−1 for the mole fractions of two of the standard gases tested; all other standards were shown to be stable. Experiments comparing the results obtained for standards used at JMA and the Meteorological Research Institute (MRI) between 2000 and 2014 verified the conversion to the WMO scale and the drift correction used. The Inter-Comparison Experiments for Greenhouse Gases Observation (iceGGO) program in Japan can provide a useful means of validating the MRI/JMA CH4 scale and comparing it with other gravimetric scales used in Japan.
Electrical charges related to cloud-to-ground (CG) lightning discharge were investigated using ground electric fields measured around the Shonai area in the Tohoku district, Japan. First, the requirement for preciseness for least-squares fitting of the electric fields derived theoretically assuming a point electrical charge to the measured electric fields is discussed. The horizontal resolution needed to obtain appropriate solutions is proposed using a set of theoretical electric fields made by electrical charges at heights with intervals of 0.1 km. A numerical fitting with the proposed spatial resolution was applied to the measured ground electric fields, and the locations and amounts of charges were estimated for 19 negative CG lightning discharges that occurred around Shonai during the warm and cold seasons in 2012. The estimated locations of the charges were compared to the atmospheric temperature, Doppler radar measurements, and the distribution of very-high-frequency (VHF) radiation sources detected by a VHF-based lightning detection system for two events. In one of the analyzed events, the estimated electrical charge revealed the characteristics of a negative charge that could have caused the discharge. In the other event, the charge was estimated to have been located at low altitude, and the event could not be interpreted by the usual negative CG lightning discharge model. The discussion concerning the numerical fitting presented in this study may be useful for future investigations of the electrical charge related to lightning discharges based on a small number of ground electric field measurements.
Because atmospheric turbulence sometimes causes serious problems for aircraft operations, so it is necessary to detect and bypass turbulence. However, turbulence is difficult to detect by the in situ radiosonde observations or by a wind profiler radar (WPR) network such as WINDAS of Japan Meteorological Agency because of the temporal resolution and available altitude data are inadequate. Therefore, information from the Pilot Weather Report (PIREP) has been almost the only usable turbulence data. To develop the next generation WPR and a better method to detect turbulence, Research Institute for Sustainable Humanosphere (RISH) of Kyoto University, National Institute of Information and Communications Technology (NICT), and Meteorological Research Institute carried out collaborative research from 2011 to 2015. As a part of this research project, experimental observations to compare the prototype of the next generation 1.3GHz WPR (LQ-13) and radiosondes (Vaisala RS92-SGP) were conducted during December, 2012 at NICT (Koganei City, Tokyo). In this study, we compared the turbulent eddy dissipation rates (EDRs) determined with WPR from the Doppler spectrum width data with those determined with radiosondes by using the Thorpe analysis method. The results showed that EDRs determined by both methods were almost consistent. Qualitatively, the EDR increases as the PIREP turbulent intensity increases, but quantitative conclusions could not be reached because there were not enough number of data for moderate or stronger turbulence cases. Because the retrieved EDRs were smaller than International Civil Aviation Organization (ICAO) Annex3 criteria, it will be necessary to assess the EDR criteria for turbulence intensity categories.
April 03, 2017 There had been a system trouble from April 1, 2017, 13:24 to April 2, 2017, 16:07(JST) (April 1, 2017, 04:24 to April 2, 2017, 07:07(UTC)) .The service has been back to normal.We apologize for any inconvenience this may cause you.
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