supported by the National Natural Science Foundation of China(Grant Nos.42375062 and 42275158);the National Key Scientific and Technological Infrastructure project“Earth System Science Numerical Simulator Facility”(EarthLab);the Natural Science Foundation of Gansu Province(Grant No.22JR5RF1080)。
It is fundamental and useful to investigate how deep learning forecasting models(DLMs)perform compared to operational oceanography forecast systems(OFSs).However,few studies have intercompared their performances using...
supported by the National Key R&D Program of China under Grant Nos.2018YFC1507302 and 2018YFC1506803;National Natural Science Foundation of China No.42275171;the Liaoning Province Key R&D Program of Liaoning of China under Grant No.2020JH2/10300091;the Bohai Rim Meteorological Science Collaborative Innovation Fund under Grant No.QYXM201901.
A cold cloud assimilation scheme was developed that fully considers the water substances,i.e.,water vapor,cloud water,rain,ice,snow,and graupel,based on the single-moment WSM6 microphysical scheme and four-dimensional...
This work was supported by the National Key Research and Development Program of China(2018YFB0504900,2018YFB0504905).
Following the progress of satellite data assimilation in the 1990s, the combination of meteorological satellites and numerical models has changed the way scientists understand the earth. With the evolution of numerica...
supported by the National Key R&D Program of China (2016YFC0201507);the National Natural Science Foundation of China (Grant Nos. 41471367, 91543128 and 41571417)
Few studies have specifically focused on the validation and spatiotemporal distribution of planetary boundary layer height (PBLH) and relative humidity (RH) data in China. In this analysis, continuous PBLH and sur...
sponsored by the 973 Program (Grant No. 2013CB430102);the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD);and the Air Force Weather Agency;support from Craig S. SCHWARTZ, Allegrino Americo SAMUEL, and Gael DESCOMBES are greatly appreciated;sponsored by the National Science Foundation;the National Science Foundation
The Multivariate and Minimum Residual (MMR) cloud detection and retrieval algorithm,previously developed and tested on simulated observations and Advanced Infrared Sounder radiance,was explored and validated using v...
The simulations were performed using a modified mesoscale model, the Polar MM5, which was adapted for use within polar regions. The objective of the study was to illustrate the skill of the Polar MM5 in simulating atm...
This work was conducted under support from the Ministry of Science and Technology of China through the“973”project of“Research on the Formation Mechanism and Prediction Theory of Hazardous Weather over China”under Grant No.G1998040911.
The Simplified Simple Biosphere model (SSiB) is validated in off-line simulations against field measurements in the summer of 2001 from the China Heavy Rainfall Experiment and Study (CHeRES) over a grassland site loc...
In an effort to assess the reliability of satellite altimeter systems, the authors conduct a comparative analysis of sea level data that were collected from the TOPEX/POSEIDON (T/P) altimeter and 10 tide gauges (TG) n...
the project"Development of Monitoring and;Prediction Technology for Severe Weather(Heavy Rainfall)over the Korean Peninsula"of the Korea MeteorologicalAdministration.
The Korea Meteorological Administration (KMA) has processed the data from the advanced TOVS (ATOVS) onboard NOAA-16 satellite since May 2001. The operational production utilizes the AAPP (ATOVS and AVHRR Processing Pa...
The authors would like to thank Professors Sun Shufen and Li Shuxun for their valuable suggestion.ProfessorAlan Robock generously provided the Former Soviet Union observational data.This study is supported by NationalKey Developing Programme for Basic S
A simple frozen soil parameterization scheme is developed based on NCAR LSM and the effects of re-vised scheme are investigated using Former Soviet Union (FSU) 6 stations measurement data. In the revised model, soil i...