TY - JOUR
T1 - The mesoscale heavy rainfall observing system (MHROS) over the middle region of the Yangtze river in China
AU - Cui, Chunguang
AU - Wan, Rong
AU - Wang, Bin
AU - Dong, Xiquan
AU - Li, Hongli
AU - Wang, Xiaokang
AU - Xu, Guirong
AU - Wang, Xiaofang
AU - Wang, Yehong
AU - Xiao, Yanjiao
AU - Zhou, Zhimin
AU - Fu, Zhikang
AU - Wan, Xia
AU - Zhang, Wengang
AU - Peng, Tao
AU - Leng, Liang
AU - Stenz, Ronald
AU - Wang, Junchao
N1 - Funding Information:
This research was primarily supported by the repair and purchase project for the National Scientific Institutions (2006–2014). Researchers at IHR were also supported by NSFC Project under grants 41375041, 41175016, 41205086, 40575011, 41375057, 40930951, and 41405106; the 863 Project under grant 2012AA120902; CMA Project under grants GYHY201206003, GYHY201306004, GYHY201406013, and GYHY201306016; the State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences under grant 2014LASW-B09; and Hubei Meteorological Bureau Project under grants 2014Q03 and 2015Z02. Xiquan Dong was partially supported by the National Basic Research Program of China (973 Program, 2013CB955803) at Beijing Normal University. Special thanks to Ryan Stanfield for helping reorganize the plots and to Tim Logan for proof reading. Recognition is also extended to those responsible for the operation and maintenance of the instruments that produced the data used in this study; their diligent and dedicated efforts are often underappreciated. The data used to produce the results of this paper can be obtained from Rong Wan ([email protected]) and Chunguang Cui ([email protected]).
Publisher Copyright:
© 2015. American Geophysical Union. All Rights Reserved.
PY - 2015
Y1 - 2015
N2 - The Mesoscale Heavy Rainfall Observing System (MHROS), supported by the Institute of Heavy Rain (IHR), Chinese Meteorology Administration, is one of the major systems to observe mesoscale convective systems (MCSs) over the middle region of the Yangtze River in China. The IHR MHROS consists of mobile C-POL and X-POL precipitation radars, millimeter wavelength cloud radar, fixed S-band precipitation radars, GPS network, microwave radiometers, radio soundings, wind profiler radars, and disdrometers. The atmospheric variables observed or retrieved by these instruments include the profiles of atmospheric temperature, moisture, wind speed and direction, vertical structures of MCS clouds and precipitation, atmospheric water vapor, and cloud liquid water. These quality-controlled observations and retrievals have been used in mesoscale numerical weather prediction to improve the accuracy of weather forecasting and MCS research since 2007. These long-term observations have provided the most comprehensive data sets for researchers to investigate the formation-dissipation processes of MCSs and for modelers to improve their simulations of MCSs. As the first paper of a series, we briefly introduce the IHR MHROS and describe the specifications of its major instruments. Then, we provide an integrative analysis of the IHR MHROS observations for a heavy rain case on 3-5 July 2014 as well as the application of IHR MHROS observations in improving the model simulations. In a series of papers, we will tentatively answer several key scientific questions related to the MCS and Meiyu frontal systems over the middle region of the Yangtze River using the IHR MHROS observations.
AB - The Mesoscale Heavy Rainfall Observing System (MHROS), supported by the Institute of Heavy Rain (IHR), Chinese Meteorology Administration, is one of the major systems to observe mesoscale convective systems (MCSs) over the middle region of the Yangtze River in China. The IHR MHROS consists of mobile C-POL and X-POL precipitation radars, millimeter wavelength cloud radar, fixed S-band precipitation radars, GPS network, microwave radiometers, radio soundings, wind profiler radars, and disdrometers. The atmospheric variables observed or retrieved by these instruments include the profiles of atmospheric temperature, moisture, wind speed and direction, vertical structures of MCS clouds and precipitation, atmospheric water vapor, and cloud liquid water. These quality-controlled observations and retrievals have been used in mesoscale numerical weather prediction to improve the accuracy of weather forecasting and MCS research since 2007. These long-term observations have provided the most comprehensive data sets for researchers to investigate the formation-dissipation processes of MCSs and for modelers to improve their simulations of MCSs. As the first paper of a series, we briefly introduce the IHR MHROS and describe the specifications of its major instruments. Then, we provide an integrative analysis of the IHR MHROS observations for a heavy rain case on 3-5 July 2014 as well as the application of IHR MHROS observations in improving the model simulations. In a series of papers, we will tentatively answer several key scientific questions related to the MCS and Meiyu frontal systems over the middle region of the Yangtze River using the IHR MHROS observations.
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U2 - 10.1002/2015JD023341
DO - 10.1002/2015JD023341
M3 - Article
AN - SCOPUS:84945246951
SN - 0148-0227
VL - 120
SP - 10399
EP - 10417
JO - Journal of geophysical research
JF - Journal of geophysical research
IS - 19
ER -