Article
Meteorology & Atmospheric Sciences
Yuan Qiu, Jinming Feng, Jun Wang, Yongkang Xue, Zhongfeng Xu
Summary: This study quantitatively assesses three widely used land models in the Tibetan Plateau, showing that CLM and Noah-MP have longer soil memory at deeper layers, while SSiB has longer T2m/surface memory and near-surface soil memory. The various memories over TP between the land models can bring challenges to S2S prediction using the LST/SUBT approach.
Article
Engineering, Electrical & Electronic
Yuting Qi, Lei Zhong, Yaoming Ma, Yunfei Fu, Xian Wang, Peizhen Li
Summary: Land surface temperature (LST) is crucial in the Earth's climate system, and its retrieval from satellites is challenging, especially in plateau areas. This study used various methods, including the single channel (SC) algorithm, the split-window (SW) algorithm, and machine learning (ML) models, to improve LST retrieval accuracy over the Tibetan Plateau (TP). The SW algorithm showed better performance, with a lower root-mean-square error (RMSE) of 2.64 K, compared to the official SLSTR LST products (5.23 K), and the random forest model had the highest accuracy with an RMSE of 3.26 K.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Wei Wang, Ji Zhou, Xin Wen, Zhiyong Long, Hailing Zhong, Jin Ma, Lirong Ding, Dongmei Qi
Summary: This study develops a novel model based on machine learning techniques to estimate all-weather near-surface air temperature (AW-NSAT). The model, trained with in situ NSAT, shows good accuracy and spatial seamless characteristic by introducing TRIMS LST. It provides the possibility to generate AW-NSAT for the Tibetan Plateau and can be extended to other areas.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Jichun Li, Guojin Pang, Xuejia Wang, Fei Liu, Yuting Zhang
Summary: This paper analyzed the temporal and spatial variations of land surface albedo in the Qilian Mountains over the past 20 years. The results showed differences in albedo distribution with altitude and seasons, with a weak increasing trend in the annual average albedo. The albedo variations were significantly correlated with snow cover and NDVI.
Article
Meteorology & Atmospheric Sciences
Xin Miao, Weidong Guo, Bo Qiu, Sha Lu, Yu Zhang, Yongkang Xue, Shufen Sun
Summary: This study highlights the importance of considering topographic effects in simulating snow cover distribution and land surface energy budget for reducing the cold bias in winter climate simulations over the Tibetan Plateau.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
Xin Qi, Jing Yang, Yongkang Xue, Qing Bao, Guoxiong Wu, Duoying Ji
Summary: This study reveals the significant subseasonal variation of surface soil temperature (T-soil) over the eastern Tibetan Plateau (ETP) during the early summer. It shows that the warmth of T-soil enhances subseasonal precipitation through the influence of mid-latitude quasi-biweekly waves. The numerical experiments confirm the effect of warming T-soil on increasing local cyclonic and precipitation anomaly.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Fangfang Wang, Yaoming Ma, Roshanak Darvishzadeh, Cunbo Han
Summary: The study explores the vegetation-temperature relationship on the Tibetan Plateau by analyzing air temperature, vegetation, and land surface temperature (LST) patterns using various datasets. The findings reveal a significant greening response in NDVI during the spring and autumn seasons, with earlier breakpoints and more sensitivity in recent warming phases. Both MODIS and GIMMS data show an increase in NDVI on the Tibetan Plateau for all timescales, with MODIS exhibiting a larger greening area since 2000. Trends in NDVI and LST are most prominent in spring and autumn, respectively, and significant variations in NDVI and LST mostly occur in winter and autumn. The partial correlation analysis reveals a negative impact of NDVI on LST at the annual scale and in autumn, and a positive impact in spring. These findings enhance our understanding of vegetation-climate relationships at annual and seasonal scales.
Article
Environmental Sciences
Jun Qin, Min He, Wei Yang, Ning Lu, Ling Yao, Hou Jiang, Jin Wu, Kun Yang, Chenghu Zhou
Summary: The Tibetan Plateau is experiencing rapid warming, leading to increased glacial melting and natural hazards. However, due to a lack of high-quality, long-term observations, there is no complete understanding of its temperature status in the past few decades. This study uses satellite and weather station data to derive long-term surface air temperatures, revealing widespread warming across the plateau, particularly in the western region. The derived warming rate is higher than other datasets, implying a severe threat to the cryosphere.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Yong Liu, Xiangyu Li, Zhongshi Zhang, Hua Li, Huopo Chen, Xiaoyu Hu
Summary: This study reveals a subseasonal reversal of precipitation on the western Tibetan Plateau, which is influenced by changes in vertical moisture advection and sea surface temperature modes. The spatially inconsistent changes in sea surface temperature can result in reversed turbulent heat flux anomalies, leading to changes in atmospheric patterns and ultimately precipitation reversal.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Can Zhang, Cheng Zhao, Shi-Yong Yu, Xiangdong Yang, Jun Cheng, Xiaojian Zhang, Bin Xue, Ji Shen, Fahu Chen
Summary: The Tibetan Plateau is one of the most sensitive areas to global climate changes. Research shows that the warming during the Last Deglaciation was primarily driven by rising atmospheric greenhouse gases, while Holocene temperature changes were mainly controlled by local seasonal insolation and additional radiative forcing of greenhouse gases.
EARTH-SCIENCE REVIEWS
(2022)
Article
Multidisciplinary Sciences
Haiting Gu, Yue-Ping Xu, Li Liu, Jingkai Xie, Lu Wang, Suli Pan, Yuxue Guo
Summary: This study introduces a model for accurately estimating terrestrial water storage change and characterizing catchment memory processes and durations. The results indicate that precipitation-dominated basins are mainly controlled by precipitation, while non-precipitation-dominated basins are strongly influenced by temperature. Quantifying catchment memory can provide lead times for seasonal streamflow forecasts and water resource management.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Yinglin Tian, Sarosh Alam Ghausi, Yu Zhang, Mingxi Zhang, Di Xie, Yuan Cao, Yuantao Mei, Guangqian Wang, Deyu Zhong, Axel Kleidon
Summary: Temperature extremes on the eastern Tibetan Plateau (ETP) are attributed to anomalies in the surface energy balance, with daytime highs primarily caused by changes in solar radiation and nighttime highs controlled by changes in longwave radiation. These radiation changes are influenced by cloud variations, which are in turn associated with large-scale circulations that affect air motion and cloud convergence. The reduction in snow albedo due to increased downward solar radiation plays a significant role in promoting warm events, particularly in winter. While the results are generally similar in winter and summer, there are notable differences in the contributions of snow albedo variations, surface turbulent fluxes, and horizontal advection of cloud, which require further attention in simulating high-temperature extremes in the ETP.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Sha Lu, Weidong Guo, Jun Ge, Yu Zhang
Summary: This study investigates the effects of key land surface parameters on the simulation of the Noah LSM and proposes optimal parameterizations for the arid and semiarid areas of the Loess Plateau.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Environmental Sciences
Wenqi Liu, Yuting Zhou, Jinwei Dong, Geli Zhang, Tong Yang, Nanshan You, K. Colton Flynn, Pradeep Wagle, Haoxuan Yang
Summary: With the increasing demand for livestock consumption, the planted area of green fodder in China has been rapidly expanding and will continue to do so. However, the climate feedback of this land cover conversion remains unclear. By using remote sensing observation and meteorological data, this study compared the land surface temperature of green fodder plantations and native grassland in the northeastern Tibetan Plateau. The results showed that the green fodder areas were cooler than the native grassland throughout the growing season, with the highest cooling effect observed in August. The study highlighted the potential cooling effects of expanding green fodder areas on native grasslands, emphasizing the need to investigate climate feedback from anthropogenic land use change.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Yongjie Pan, Xia Li, Danyun Wang, Suosuo Li, Lijuan Wen
Summary: This study investigates the effect of land use and land cover uncertainty on permafrost simulation in the Tibetan Plateau. The results show that land cover has a greater impact on soil temperature simulations in regions with greater land use inconsistency. It is important to increase the model plant function types and carefully select land use and land cover products in order to improve the simulation performance of land-surface models in permafrost regions.
Article
Meteorology & Atmospheric Sciences
Ismaila Diallo, Yongkang Xue, Qiuyu Chen, Xuejuan Ren, Weidong Guo
Summary: Recent studies have shown that the spring land surface temperature in the Tibetan Plateau has a significant influence on downstream summer droughts and floods in East Asia. The study suggests that considering these temperature anomalies can improve predictions of extreme hydroclimatic events in Southern and Eastern Asia.
Article
Energy & Fuels
Ye Liu, Yun Qian, Sha Feng, Larry K. Berg, Timothy W. Juliano, Pedro A. Jimenez, Ying Liu
Summary: This study investigates the sensitivity of solar irradiance to parameters within the sub-grid cloud scheme and an upgraded aerosol-aware scheme in the Weather Research and Forecasting-Solar model. The results show that the parameters related to entrainment and cloud condensation threshold have the greatest contribution to irradiance variance under less-polluted conditions, while the parameters related to aerosol emission rate and black carbon modal radius become more pronounced under heavily-polluted wildfire conditions.
Article
Environmental Sciences
Khalil Ali Ganem, Yongkang Xue, Ariane de Almeida Rodrigues, Washington Franca-Rocha, Marceli Terra de Oliveira, Nathalia Silva de Carvalho, Efrain Yury Turpo Cayo, Marcos Reis Rosa, Andeise Cerqueira Dutra, Yosio Edemir Shimabukuro
Summary: The scientific understanding of land use and land cover changes in South America's drylands is limited. This paper reviewed existing mapping initiatives and identified knowledge gaps and challenges. Remote sensing data and machine learning algorithms were commonly used, but detailed mapping of dryland vegetation types was lacking. Further research is needed to enhance multi-level studies in dryland vegetation mapping.
Editorial Material
Multidisciplinary Sciences
Jing Zhou, Lei Wang, Xiaoyang Zhong, Tandong Yao, Jia Qi, Yuanwei Wang, Yongkang Xue
Article
Meteorology & Atmospheric Sciences
Zhijie Kang, Bo Qiu, Zheng Xiang, Ye Liu, Zhiqiang Lin, Weidong Guo
Summary: This study investigates the impact of meteorological forcing data with different spatial resolutions on vegetation dynamics simulations. By comparing the model results with observations, it is found that high-resolution data improves the performance of the model in simulating vegetation growth and carbon exchange over the Tibetan Plateau. This highlights the importance of realistic and high-resolution forcing data in accurately simulating vegetation processes.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Haoran Xu, Xin-Zhong Liang, Yongkang Xue
Summary: The Tibetan Plateau plays a critical role in the Asian monsoon and global climate by serving as a major heated source. Observational data has shown significant correlations between the plateau's spring surface air temperature and downstream summer precipitation interannual variations. The Tibetan Plateau's heating impacts summer East Asian monsoon climate through influencing the South Asian High and shifting the East Asian jet.
Article
Meteorology & Atmospheric Sciences
Zhanmei Yang, Jingyong Zhang, Ye Liu, Kai Li
Summary: This study identifies the significant influence of soil temperature over Central Asia on summer surface air temperature, daily maximum temperature, and hot days over Northeastern China. It reveals the physical mechanism behind this influence and highlights the importance of antecedent soil temperature over Central Asia for predicting summer climate in Northeastern China.
Article
Energy & Fuels
Ye Liu, Yun Qian, Sha Feng, Larry K. Berg, Timothy W. Juliano, Pedro A. Jimenez, Eric Grimit, Ying Liu
Summary: This study improves the prediction accuracy of solar irradiance by calibrating parameters in the WRF-Solar model using a multi-objective surrogate-based optimization framework. The results show that the surrogate models approximate the physical models well and the SBO framework efficiently searches for optimal solutions.
Article
Agronomy
Lingxue Yu, Ye Liu, Jiuchun Yang, Tingxiang Liu, Kun Bu, Guangshuai Li, Yue Jiao, Shuwen Zhang
Summary: The study found that the increased crop greening in the mid-high latitude Northeast China can slow down climate warming and have a negative impact on surface temperature. The cooling effect induced by crop greening is more significant during the day than at night, leading to changes in the diurnal temperature cycle in the region.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Yongkang Xue, Ismaila Diallo, Aaron A. Boone, Tandong Yao, Yang Zhang, Xubin Zeng, J. David Neelin, William K. M. Lau, Yan Pan, Ye Liu, Xiaoduo Pan, Qi Tang, Peter J. van Oevelen, Tomonori Sato, Myung-Seo Koo, Stefano Materia, Chunxiang Shi, Jing Yang, Constantin Ardilouze, Zhaohui Lin, Xin Qi, Tetsu Nakamura, Subodh K. Saha, Retish Senan, Yuhei Takaya, Hailan Wang, Hongliang Zhang, Mei Zhao, Hara Prasad Nayak, Qiuyu Chen, Jinming Feng, Michael A. Brunke, Tianyi Fan, Songyou Hong, Paulo Nobre, Daniele Peano, Yi Qin, Frederic Vitart, Shaocheng Xie, Yanling Zhan, Daniel Klocke, Ruby Leung, Xin Li, Michael Ek, Weidong Guo, Gianpaolo Balsamo, Qing Bao, Sin Chan Chou, Patricia de Rosnay, Yanluan Lin, Yuejian Zhu, Yun Qian, Ping Zhao, Jianping Tang, Xin-Zhong Liang, Jinkyu Hong, Duoying Ji, Zhenming Ji, Yuan Qiu, Shiori Sugimoto, Weicai Wang, Kun Yang, Miao Yu
Summary: The surface temperature of the Tibetan Plateau is causally related to summer precipitation in multiple regions across the world, indicating that high-mountain land temperature could be a substantial source of subseasonal-to-seasonal precipitation predictability.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Agriculture, Multidisciplinary
Lingxue Yu, Ye Liu, Tingxiang Liu, Entao Yu, Kun Bu, Qingyu Jia, Lidu Shen, Xingming Zheng, Shuwen Zhang
Summary: This study examines the simulation of crop growth and yield in Northeast China by coupling crop models with climate models. The results show that the coupled model improves the accuracy of crop phenology simulation and enhances the performance of crop growth simulation. Adjusting crop parameters further improves the simulation results. This research is important for ensuring future crop growth and food security.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Meteorology & Atmospheric Sciences
Xin Miao, Weidong Guo, Bo Qiu, Sha Lu, Yu Zhang, Yongkang Xue, Shufen Sun
Summary: This study highlights the importance of considering topographic effects in simulating snow cover distribution and land surface energy budget for reducing the cold bias in winter climate simulations over the Tibetan Plateau.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
Xin Qi, Jing Yang, Yongkang Xue, Qing Bao, Guoxiong Wu, Duoying Ji
Summary: This study reveals the significant subseasonal variation of surface soil temperature (T-soil) over the eastern Tibetan Plateau (ETP) during the early summer. It shows that the warmth of T-soil enhances subseasonal precipitation through the influence of mid-latitude quasi-biweekly waves. The numerical experiments confirm the effect of warming T-soil on increasing local cyclonic and precipitation anomaly.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Yongkang Xue, Ismaila Diallo, Aaron A. Boone, Yang Zhang, Xubin Zeng, William K. M. Lau, J. David Neelin, Tandong Yao, Qi Tang, Tomonori Sato, Myung-Seo Koo, Frederic Vitart, Constantin Ardilouze, Subodh K. Saha, Stefano Materia, Zhaohui Lin, Yuhei Takaya, Jing Yang, Tetsu Nakamura, Xin Qi, Yi Qin, Paulo Nobre, Retish Senan, Hailan Wang, Hongliang Zhang, Mei Zhao, Hara Prasad Nayak, Yan Pan, Xiaoduo Pan, Jinming Feng, Chunxiang Shi, Shaocheng Xie, Michael A. Brunke, Qing Bao, Marcus Jorge Bottino, Tianyi Fan, Songyou Hong, Yanluan Lin, Daniele Peano, Yanling Zhan, Carlos R. Mechoso, Xuejuan Ren, Gianpaolo Balsamo, Sin Chan Chou, Patricia de Rosnay, Peter J. van Oevelen, Daniel Klocke, Michael Ek, Xin Li, Weidong Guo, Yuejian Zhu, Jianping Tang, Xin-Zhong Liang, Yun Qian, Ping Zhao
Summary: This paper presents a new method for improving the prediction of summer droughts/floods in various regions around the world by utilizing information on spring land surface temperature/subsurface temperature anomalies over the Tibetan Plateau. The study shows that considering the effects of Tibetan Plateau LST/SUBT can account for 25-50% of observed precipitation anomalies in most hotspot regions. It also discusses the mechanisms behind the 2003 drought in the southern part of the Yangtze River Basin.