Article
Environmental Sciences
Young-Min Yang, Taehyoun Shim, Ja-Yeon Moon, Ki-Young Kim, Yu-Kyung Hyun
Summary: This study diagnosed and analyzed the hindcasts of MJO and BSISO using the Global Seasonal Forecast System version 5 (GS5), finding that the GS5 hindcast captures well the three-dimensional dynamics and thermodynamics structure of MJO eastward propagation in the Indian Ocean. The study suggests that improved heating induced by shallow clouds interacting with enhanced boundary layer dynamics may be required to improve MJO eastward propagation in the Maritime Continent and Western Pacific regions. The GS5 hindcast reproduces the northward propagation of BSISO reasonably well in the Indian Ocean, attributed to positive vorticity anomalies induced by strong vertical shear.
Article
Geosciences, Multidisciplinary
Tamaki Suematsu, Hiroaki Miura, Chihiro Kodama, Daisuke Takasuka
Summary: This study analyzed the eastward movement speed of Madden-Julian Oscillation (MJO) events simulated in a 30-year simulation and found that it is influenced by the background sea surface temperature states and the strength of the Walker circulation. The simulation also exhibited biases in the occurrence and speed of MJO events, which were associated with an overestimation of the western Walker circulation cell strength. The results emphasize the importance of accurately reproducing the mean atmospheric circulation for realistic long-term simulations of MJO.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Guosen Chen, Bin Wang
Summary: The study identified multiple forms of boreal summer intraseasonal oscillation (BSISO) propagation, with circulation structural asymmetries and variations in seasonal background states influencing the diversity of propagation features. The Rossby-wave component favors northward propagation, while the Kelvin-wave component favors eastward propagation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Geosciences, Multidisciplinary
M. Nakano, F. Vitart, K. Kikuchi
Summary: The study reveals varying impacts of the boreal summer intraseasonal oscillation on typhoon tracks each month, with the ECMWF model successfully predicting these impacts up to a month in advance. Reproduction of modulations in the typhoon genesis location leads to accurate tropical cyclone track forecasts.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Lyndon Mark P. Olaguera, John A. A. Manalo, Jun Matsumoto
Summary: This study examines the climatological characteristics of monsoon breaks in the Philippines during the southwest monsoon season from 1979 to 2020. Monsoon breaks are defined as periods of decreased rainfall for at least three consecutive days. The study identifies 208 monsoon break events, with different durations - short (3-4 days), medium (5-9 days), and long (>= 10 days). The occurrence of monsoon breaks is influenced by the 30-60-day mode of the boreal summer intraseasonal oscillation (BSISO), which suppresses convective and tropical cyclone activities, leading to weakened southwest monsoon and suppressed rainfall in the region.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Xiaoning Wu, Kevin A. Reed, Christopher L. P. Wolfe, Gustavo M. Marques, Scott D. Bachman, Frank O. Bryan
Summary: This study investigates the dependence of tropical modes of variability, such as MJO and ENSO, on zonal asymmetry using an idealized CESM model. The findings suggest that the separation and propagation characteristics of these modes are influenced by the zonal gradient of the mean state. The study highlights the importance of considering zonal asymmetry in realistic climate models for accurate representation of these modes.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Nicolas Diaz, Marcelo Barreiro, Nicolas Rubido
Summary: Researchers have used machine learning technique SINDy to infer low dimensional models of the Madden-Julian Oscillation (MJO) from data. They found that MJO can be most frequently represented by a harmonic oscillator, but small non-linear corrections play a fundamental role in explaining MJO's non-uniform propagation speed.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
R. J. Keane, D. J. Parker, J. K. Fletcher
Summary: The study reveals that BSISO plays a dominant role in the Indian summer monsoon low-precipitation bias in the Met Office Unified model. It shows that the bias is mainly associated with break and break-to-active transition BSISO phases, potentially linked to a lack of low-pressure systems over India.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Fadhlil R. Muhammad, Sandro W. Lubis
Summary: The relationship between boreal summer intraseasonal oscillation (BSISO) and precipitation extremes in Indonesia was studied using observational datasets from rain gauge measurements and gridded Asian Precipitation-Highly Resolved Observational Data Integration. The results show that the frequency of daily extreme precipitation events during extended boreal summer is significantly influenced by BSISO, particularly in western and northern regions. The probability of extreme precipitation increases during active phases of BSISO due to enhanced large-scale moisture flux convergence. These findings can provide valuable information for predicting summer precipitation extremes in Indonesia.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Jintai Li, Xian Lu
Summary: Using 17 years of Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data, significant responses of gravity wave (GW) variances, zonal winds and parameterized GW drag to the Madden-Julian Oscillation (MJO) are identified globally. The relationships between these variables are studied, showing coherent patterns. In the northern polar region, eastward winds lead to westward momentum flux carried by GWs, resulting in westward drag and imprinting MJO signals in zonal winds.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Hua Chen, Edwin K. Schneider, Zhiwei Zhu
Summary: The study estimates the internal atmospheric variability of the net surface heat flux in the observed atmosphere using four atmospheric models, revealing significant differences in forced responses among the models. The uncertainty in reanalyses may arise from observational errors and model interpolation.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Geosciences, Multidisciplinary
Yang Lyu, Shoupeng Zhu, Xiefei Zhi, Fu Dong, Chengying Zhu, Luying Ji, Yi Fan
Summary: This study investigates the subseasonal precipitation forecast skills over Maritime Continent in boreal summer for the ECMWF and CMA models. The results show that the ECMWF model generally outperforms the CMA model in terms of lower errors and higher correlations compared with observations. The ECMWF model tends to produce wet biases with increasing lead times, while the mean errors of the CMA model remain relatively constant throughout lead times of 2-4 weeks. The study also assesses the roles of large-scale drivers such as ENSO and BSISO in modulating subseasonal precipitation forecast skills, and finds that both models can reasonably capture the ENSO-related precipitation anomalies for all lead times, while their abilities to capture BSISO-related precipitation anomalies decrease with longer lead times, particularly in the CMA model.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Victor C. Mayta, Angel F. Adames Corraliza
Summary: The governing thermodynamics of the Madden-Julian Oscillation (MJO) is examined using sounding and reanalysis data. Results show that the MJO behaves as a moisture mode over the Indian Ocean, but temperature fluctuations become important outside this region.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Carl J. Schreck
Summary: This study investigates the modulation of land-based extreme precipitation by the Madden-Julian Oscillation (MJO) globally. Different phases of the MJO lead to different outcomes in extreme events in various regions around the world. The results provide insights into the mechanisms behind extreme precipitation events in different regions and offer new perspectives for subseasonal forecasts of extreme events.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Mingjun Tong, Zhihai Zheng, Qiang Fu
Summary: Most of the CMIP6/AMIP models struggle to reproduce the observed spatial pattern and interannual variability of East Asian Meiyu. However, some models perform better in simulating precipitation in Southern Korea and Japan. Models that simulate Meiyu precipitation more accurately can capture the relationship between Meiyu precipitation and the SST in the eastern equatorial Pacific and Indian Ocean.
Article
Geosciences, Multidisciplinary
Yohei Yamada, Tomoki Miyakawa, Masuo Nakano, Chihiro Kodama, Akiyoshi Wada, Tomoe Nasuno, Ying-Wen Chen, Akira Yamazaki, Hisashi Yashiro, Masaki Satoh
Summary: Typhoon Faxai caused severe damage to Tokyo in 2019. A study was conducted to investigate the predictability of precursor vortex formation and movement using ensemble simulations. Results showed a 70% probability of a Faxai-like vortex approaching Japan two weeks before landfall. The upper-tropospheric vortex played a crucial role in Faxai's track simulation.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Tatsuo Suzuki, Masuo Nakano, Shingo Watanabe, Hiroaki Tatebe, Yuki Takano
Summary: Tide gauge data showed that the eruption of the Hunga Tonga-Hunga Ha'apai volcano on January 15, 2022 generated ocean waves. These waves reached the Japanese coast earlier than expected and were reasonably reproduced by an ocean model with realistic bottom topography and atmospheric general circulation models. The amplitude of the sea level changes cannot be fully explained by pressure fluctuations alone, but rather require resonance due to atmospheric waves and amplification effects caused by a steep continental slope.
Article
Meteorology & Atmospheric Sciences
Shunji Kotsuki, Koji Terasaki, Masaki Satoh, Takemasa Miyoshi
Summary: This study improves precipitation forecasts using GPM DPR data through model parameter estimation. The NICAM-LETKF and GPM DPR observations are used to estimate a model cloud physics parameter related to snowfall terminal velocity. By using a two-dimensional histogram-based parameter estimation method, the gap between simulated and observed data is effectively reduced, leading to improved 6 hr precipitation forecasts.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Multidisciplinary Sciences
Daisuke Matsuoka, Chihiro Kodama, Yohei Yamada, Masuo Nakano
Summary: This dataset is a time series of tropical cyclones simulated using the high-resolution Nonhydrostatic Icosahedral Atmospheric Model (NICAM). It contains 2,463 tracks of tropical cyclones, including their life stages, extracted from 30 years of simulation data. Each track includes various parameters such as time, location, wind speed, pressure, and life-stage label. The dataset also provides atmospheric field data for multiple physical quantities over a 10,000 km2 area.
Article
Geosciences, Multidisciplinary
Xueke Wu, Qiang Fu, Chihiro Kodama
Summary: Tropical overshooting deep convection (ODC) plays a crucial role in transporting boundary layer pollutants to the upper troposphere and lower stratosphere, with important implications for stratospheric ozone and climate. Using simulations from the Nonhydrostatic Icosahedral Atmosphere Model (NICAM), the study finds that future ODC occurrences will increase over the warmer and wetter oceanic regions, while decreasing over the hotter but drier terrestrial regions. The changes in ODC occurrences are larger for higher cloud tops and vary depending on the global temperature increase.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Hao-Yan Liu, Masaki Satoh, Jian-Feng Gu, Lili Lei, Jianping Tang, Zhe-Min Tan, Yuqing Wang, Jing Xu
Summary: This study aimed to explore the predictability of tropical cyclone Freddy in the southern tropical Indian Ocean, and identified three key factors contributing to its limited predictability.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Fredrik Jansson, Martin Janssens, Johanna H. Gronqvist, A. Pier Siebesma, Franziska Glassmeier, Jisk Attema, Victor Azizi, Masaki Satoh, Yousuke Sato, Hauke Schulz, Tobias Kolling
Summary: Small shallow cumulus clouds over tropical oceans have the ability to self-organize into mesoscale patterns. Through simulations and data analysis, we find that the patterns in these clouds vary under different environmental conditions. This research provides a theoretical basis for understanding the coupling between clouds and circulation.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Meteorology & Atmospheric Sciences
Masuo Nakano, Ying-Wen Chen, Masaki Satoh
Summary: Typhoon Krosa formed in the Philippine Sea and made landfall in Japan, but the forecast models failed to accurately predict its track. Through ensemble forecast experiments, it was found that the uncertainty was caused by differences in the size of the typhoon and the retreatment of the western North Pacific subtropical high.
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN
(2023)
Article
Meteorology & Atmospheric Sciences
Yuichiro Hagihara, Yuichi Ohno, Hiroaki Horie, Woosub Roh, Masaki Satoh, Takuji Kubota
Summary: This study investigates the Doppler measurement errors of the EC-CPR on the EarthCARE satellite by increasing the amount of data used and extending the data coverage globally. The errors were evaluated for both low and high pulse repetition frequency settings. The results showed that the errors were significantly reduced after unfolding correction, with the error values ranging from 0.63 m/s to 2.2 m/s for the low PRF setting and from 0.29 m/s to 0.78 m/s for the high PRF setting.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Woosub Roh, Masaki Satoh, Tempei Hashino, Shuhei Matsugishi, Tomoe Nasuno, Takuji Kubota
Summary: The Japanese Aerospace Exploration Agency (JAXA) has developed EarthCARE synthetic data, which is simulated using a 3.5 km horizontal-mesh global storm-resolving model. This data is valuable for the development of retrieval algorithms and the timely release of retrieval products after satellite launch. The synthetic data includes information from four EarthCARE instrument sensors and is available in standard and research products.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Meteorology & Atmospheric Sciences
Minrui Wang, Takashi Y. Nakajima, Woosub Roh, Masaki Satoh, Kentaroh Suzuki, Takuji Kubota, Mayumi Yoshida
Summary: A cloud identification and profiling algorithm is being developed for the multi-spectral imager (MSI) on the EarthCARE spacecraft. The study evaluated the impact of spectral misalignment (SMILE) on the cloud retrieval product. Results showed that the SMILE error had a negligible effect on cloud detection for most cases, but further investigation is needed for land surfaces.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)