Ma binThe Institute of Tibetan Plateau Research (ITP), Chinese Academy of Sciences (CAS) · Land-atmosphere interactions
Ma bin
About
6
Publications
512
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
111
Citations
Introduction
Skills and Expertise
Publications
Publications (6)
Drought is the most widespread and insidious natural hazard, presenting serious challenges to ecosystems and human society. The daily Standardized Precipitation Evapotranspiration Index (SPEI) has been developed to identify the regional spatiotemporal characteristics of drought conditions from 1960 to 2016, revealing the variability in drought char...
Drought is one of the most complex natural disasters, while meteorological drought is the root cause of other types of drought. In this study, all meteorological drought events in China from 1961 to 2017 were calculated using the SPEI of the Julian calendar as a time step. The duration and intensity of meteorological drought events and the major me...
In this paper, meteorological industry standard, daily mean temperature, and an improved multiple regression model are used to calculate China’s climatic seasons, not only to help understand their spatio-temporal distribution, but also to provide a reference for China’s climatic regionalization and crop production. It is found that the improved mul...
Lateral terrestrial water flow in the Weather Research and Forecasting (WRF) Model and its hydrologically enhanced version, WRF‐Hydro, is calculated on a routing grid based on infiltration excess in Land Surface Model (LSM) grid disaggregates to the routing grids. However, this design neglects the lateral terrestrial water flow within LSM grids and...
Surface albedo is a critical indicator of Earth’s ability to reflect solar radiation, influencing energy balance and climate dynamics. Research on blue-sky albedo on the Tibetan Plateau has often focused on clear-sky conditions, overlooking seasonal snow cover and variable weather. This paper uses convolutional neural networks (CNNs) to estimate bl...
Mt. Everest (Qomolangma), the highest mountain on Earth, is an unrivalled natural research platform for understanding multispheric interactions over heterogeneous landscapes. The land-atmosphere interactions in this iconic mountain region have paramount importance for weather and climate predictions at both regional and global scales; however, obse...