Article
Environmental Sciences
Zhaofei Liu
Summary: Accurate simulation of evapotranspiration is crucial for hydrology, ecology, agriculture, and water resources management. This study developed a non-linear function to simulate daily evapotranspiration constrained by soil water. Evaluation results showed that the non-linear function had higher accuracy compared to linear relations and complementary relationship methods. The accuracy of the simulation varied globally, with some regions achieving high accuracy while others performing poorly.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Civil
Long Qian, Zhitao Zhang, Lifeng Wu, Shaoshuai Fan, Xingjiao Yu, Xiaogang Liu, Yalan Ba, Haijiao Ma, Yicheng Wang
Summary: This study evaluates the performance of nine global ET products in estimating ET under extreme climatic conditions, and finds that the estimation accuracy of all products is significantly reduced in extreme conditions, with the most severe impact in the Americas region. Multi-source data fusion products show the best estimation performance, while GLEAM_v3.6b performs the best among remote sensing modeling products and MOD16A2 performs the worst. Land surface reanalysis products are most affected by extreme conditions, with ERA5 having the largest errors. ET products show significant error fluctuations and overestimation in most of North America and in arid and semi-arid regions.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Esmaiil Mokari, Zohrab Samani, Richard Heerema, Frank Ward
Summary: This study evaluated the effects of climate change on the duration of growing season and water requirement of pecan in the Lower Rio Grande Valley (LRGV) in New Mexico over the period of 1901-2019. Results showed an increasing trend in both the duration of growing season and actual evapotranspiration in the second half of the study period, suggesting potential impacts on crop water requirement and pecan production economics due to climate change.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Ying Hu, Fangli Wei, Bojie Fu, Wenmin Zhang, Chuanlian Sun
Summary: Changes in heat and moisture significantly affect ecosystem functioning. Limited knowledge exists regarding the dynamics of ecosystem responses to climate change. This study quantifies long-term ecosystem sensitivity and finds that it exhibits large spatial variability and increases with aridity. There is a positive temporal trend in ecosystem sensitivity, mostly attributed to declining vapor pressure deficit and constrained by solar radiation. Carbon dioxide plays a dual role, promoting growth in moderation but suppressing it in excess.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Environmental Sciences
Hongzhou Wang, Xiaodong Li, Cheng Tong, Yongkang Xu, Dongjun Lin, Jiazhi Wang, Fei Yao, Pengxuan Zhu, Guixia Yan
Summary: This study evaluated the performance of eight state-of-the-art evapotranspiration (ET) products at a global scale. Results showed that the spatial and temporal performances of these products were strongly influenced by aridity and vegetation greenness. Poorer performances were found in abundant humidity and vegetation, leading to underestimation of interannual variability and misjudged trend. The study highlights the significance of considering aridity and vegetation greenness in ET product generation.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Multidisciplinary Sciences
Beatrice Marti, Andrey Yakovlev, Dirk Nikolaus Karger, Silvan Ragettli, Aidar Zhumabaev, Abdul Wakil Wakil, Tobias Siegfried
Summary: This study presents a collection of norm discharge and river discharge time series data from 295 gauge locations in mountainous Central Asia. These data can be used for water balance modeling and training of forecast models for river runoff in the region.
Article
Environmental Sciences
Qiong Su, Vijay P. Singh
Summary: The Priestley-Taylor (PT) method is commonly used to calculate reference evapotranspiration (ETo) in hydrologic and crop models, but its default coefficient may not be reliable across different climatic regions. This study derived an analytical expression of PT coefficient (PTa) using the Penman-Monteith method, which improved the accuracy of ETo estimation. The global monthly PTa dataset is open-source and can be incorporated into models. The study also found that radiative component was the main driver of global ETo changes, and the impact of available energy and wind speed on ETo variations intensified in a warming climate.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Huihui Liu, Dongdong Song, Jinling Kong, Zengguang Mu, Xixuan Wang, Yizhu Jiang, Jingya Zhang
Summary: Based on energy balance theory, this research studied the applicability of the complementary theory of evapotranspiration (ET) and proposed an ET drought index (EDI) for the Ningxia region. The results showed a complementary relationship between actual evapotranspiration (AET) and potential evapotranspiration (PET), and EDI accurately reflected the degree of drought on both annual and monthly scales. Precipitation was the most influential factor on annual EDI, while the factors affecting monthly EDI varied.
Article
Environmental Sciences
Lijun Chao, Ke Zhang, Jingfeng Wang, Jin Feng, Mengjie Zhang
Summary: The study compared the performance of five typical remote sensing evapotranspiration datasets and found that P-LSH and GLEAM performed the best at the annual scale, P-LSH outperformed the other four datasets at the seasonal scale, while MTE and PML showed higher accuracy in arid regions. MODIS and MTE tended to underestimate and overestimate ET values during estimation.
Article
Environmental Sciences
K. V. Athira, R. Eswar, Gilles Boulet, Rahul Nigam, Bimal K. Bhattacharya
Summary: When estimating evapotranspiration (ET) using remote sensing (RS) models, the input aggregation approach provides better results for monthly and weekly ET values compared to the output aggregation approach. Additionally, at least seven to eight satellite observations per month are required for reliable ET estimates using RS-based models.
Editorial Material
Meteorology & Atmospheric Sciences
Songjun Han, Fuqiang Tian
Summary: The study proposed an approach to scale down the independent variable to accommodate a specific model, which works well under certain conditions but decreases performance under other conditions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Agronomy
Minguo Liu, Mei Yang, Huimin Yang
Summary: This article presents an open-source software package called simET, which aims to accurately estimate crop evapotranspiration (ETc) and soil water balance. The package includes various functions and models for different crops.
Article
Engineering, Electrical & Electronic
Hu Liu, Jian Wang, Hongfang Li, Jianfeng Liu, Bo Cheng, Abiyasi, Nan Ge
Summary: This study used the SCCA method to calculate the water requirement of naked oats under drip irrigation in the north foot of Yinshan Mountain. The results showed that the maximum water requirement of naked oats occurred during the heading-flowering stage, with an average water requirement of 383.8 mm over the entire growth period. The calculation error of the SCCA method was within an acceptable range.
JOURNAL OF SENSORS
(2022)
Article
Environmental Sciences
Nicole Blin, Francisco Suarez
Summary: Assessment of groundwater resources is crucial and remote sensing offers an alternative method for calibrating groundwater models, resulting in better simulation of spatiotemporal head variations in basins.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Ahmeda Assann Ouedraogo, Emmanuel Berthier, David Ramier, Yanlin Tan, Marie-Christine Gromaire
Summary: Evapotranspiration (ET) is a significant process in green stormwater infrastructure (GSI), aiming to reduce urban drainage and restore urban hydrological balance closer to the natural one. However, evaluating ET on these structures, especially on green roofs (GR), remains challenging and subject to discussion.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Yun Li, Kaicun Wang, Guocan Wu, Yuna Mao
Summary: This study successfully identified precipitation types in China through parameterizing data such as air temperature and humidity. The results showed that rainfall was the main precipitation type in China, and the snowfall in the northwestern region was significantly higher than the national average. The average annual number of rainfall and snowfall days exhibited a downward trend, while the amounts of these two precipitation types showed an upward trend without significance.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Jizeng Du, Kaiqi Fu, Kaicun Wang, Baoshan Cui
Summary: The summer of 2020 witnessed an extreme dry-wet contrast over South China, which occurred once in every 183 years. Anthropogenic influences have increased the risk of such extremes by at least 3 times.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Lu Liu, Xiaomang Liu, Peng Bai, Kang Liang, Changming Liu
Summary: This study compared the flood simulation capabilities of machine learning models and hydrologic models. It found that machine learning models performed well in the calibration period but had performance degradation in the validation period. Basin characteristics had limited impacts on the performance difference between the two models. It suggests that machine learning models are recommended for simulating floods if enough training data are available.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Multidisciplinary Sciences
Hongze Cai, Kaicun Wang
Summary: This study evaluates the performance of atmospheric reanalysis data in quantifying the global energy balance and provides optimal estimates of radiation fluxes at the top of the atmosphere and the surface. It identifies issues with some reanalysis data, such as overestimation or underestimation of solar and longwave radiation, as well as discrepancies in latent heat flux. By combining precipitation data with runoff estimates, the study improves the estimation of surface energy balance.
CHINESE SCIENCE BULLETIN-CHINESE
(2022)
Article
Geosciences, Multidisciplinary
Xiao Yu, Xie Hu, Guoquan Wang, Kaicun Wang, Xuelong Chen
Summary: This study uses differential coherence and machine-learning algorithms to quantify snow depth in Texas caused by a winter storm, providing an independent estimation for snow depth.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
Yanyi He, Kun Yang, Martin Wild, Kaicun Wang, Dan Tong, Changkun Shao, Tianjun Zhou
Summary: We reduced the uncertainties in projecting surface downward solar radiation by approximately 56% using emergent constraints. Our findings reveal significant brightening in North and Southeast China, regions with high energy demand. Surface downward solar radiation is crucial for renewable solar energy and climate change mitigation, however, future projections based on climate models are highly uncertain, hindering efficient deployment. By using emergent constraints, we obtained credible and narrowed projections for future solar radiation, emphasizing the need to consider spatial changes in order to optimize solar energy infrastructure placement.
NATIONAL SCIENCE REVIEW
(2023)
Article
Environmental Sciences
Yan Zhang, Kaicun Wang
Summary: Meteorological observations are crucial for weather forecasting and climate change studies. The accuracy of these observations depends on the representativeness of the collected data, which is determined by the scale and density of the measurement network. In this study, a high-resolution map of precipitation representativeness in mainland China is presented, based on satellite data. The results show that daily precipitation consistency is highest in eastern China and lowest on the Tibetan Plateau, while monthly consistency is highest in Northeast China Plain, the Loess Plateau, and Middle-Lower Yangtze Plain. The density of rain gauges in the current national network is not sufficient for synoptic studies in western China, but is adequate for climate change studies based on monthly data, except in the western Tibetan Plateau and deserts with no available stations. The quality of precipitation gauge observations is more important than the spatial density for climatological studies, which can inform the placement of rain gauges.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Engineering, Civil
Yan Zhang, Kaicun Wang
Summary: This study investigates the changes in the quasi-global precipitation system scale using satellite precipitation data, and finds an overall increasing trend. The scale of precipitation systems over land regions has increased, while the change in oceanic regions varies. The increase in atmospheric stability and water vapor content play important roles in the increase of precipitation system scale.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Yan Zhang, Runze Li, Kaicun Wang
Summary: This study examines the internal intensity distributions of global precipitation systems using IMERG data from 2001 to 2020. It finds that the spatial size of precipitation systems is closely related to their intensity, with smaller and medium-sized systems showing significant changes in intensity. The study provides valuable insights into the climate and changing characteristics of precipitation from a system perspective.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Dan Zhang, Xiaomang Liu, Craig T. Simmons, Lu Zhang, Qi Zhang
Summary: The distribution of groundwater level depths in China is highly heterogeneous. From 2005 to 2016, significant changes in groundwater level depths were observed in both unconfined and confined aquifers due to precipitation and groundwater abstraction. The study highlights increased groundwater storage in the energy-limited region and decreased groundwater storage in the water-limited region, indicating enhanced regional differences in groundwater resources.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Jiaxin Bai, Guocan Wu, Yuna Mao
Summary: This study evaluates the ability of different reanalysis ET products to reproduce the spatiotemporal patterns and long-term trends of ET in China, using remote sensing and water-balance-derived ET as reference. The findings reveal that the Global Land Evaporation Amsterdam Model (GLEAM) product is capable of reproducing the mean, interannual variability, and trends of ET, making it suitable for validating reanalysis ET products. The study also finds significant differences among the reanalysis products in terms of interannual variability, long-term trends, and attribution.
Article
Meteorology & Atmospheric Sciences
Yi Wang, Xiaomang Liu, Dan Zhang, Peng Bai
Summary: The moisture of precipitation in China originates from terrestrial and oceanic evaporation. In this study, the moisture sources of precipitation in China during 1980-2018 were investigated. It was found that oceanic evaporation contributed the most to the increasing precipitation trend in China, followed by vegetation transpiration. The increasing moisture from vegetation transpiration could be attributed to nationwide afforestation projects in China.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Y. U. N. A. MAO, G. U. O. C. A. N. WU, G. U. A. N. G. Z. H. I. XU, K. A. I. C. U. N. WANG
Summary: Changes in precipitation seasonality in China show an increasing trend from southeastern to northwestern regions, with decreased precipitation, later wet season start, and shorter wet season duration. The seasonality index in China has decreased from 1960 to 2018, particularly in climate-sensitive basins in northern China. El Nino-Southern Oscillation (ENSO) dominates the interannual fluctuations and spatial patterns of precipitation seasonality in China.
JOURNAL OF CLIMATE
(2022)
Article
Geosciences, Multidisciplinary
Qian Ma, Kaicun Wang, Yanyi He, Liangyuan Su, Qizhong Wu, Han Liu, Youren Zhang
Summary: This study investigates the variability of incident solar radiation and its relationship with climate change in Japan. The observed radiation and the radiation derived from sunshine duration are analyzed for inhomogeneities and adjusted accordingly. The homogenized data reveal a significant increase in solar radiation over the past decades, with the strongest brightening observed in spring. The findings suggest the role of aerosol-related radiative effects and cloud cover in influencing solar radiation changes.
EARTH SYSTEM SCIENCE DATA
(2022)
