Article
Multidisciplinary Sciences
D. G. MacMartin, D. Visioni, B. Kravitz, J. H. Richter, T. Felgenhauer, W. R. Lee, D. R. Morrow, E. A. Parson, M. Sugiyama
Summary: Making informed decisions about solar radiation modification requires projections of climate response and impacts. Current simulations only consider a single scenario, limiting the ability to compare risks. To address this, this study presents a range of scenarios and simulations for broad community use.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Chemistry, Multidisciplinary
Michael Stamatis, Nikolaos Hatzianastassiou, Marios Bruno Korras-Carraca, Christos Matsoukas, Martin Wild, Ilias Vardavas
Summary: This study assesses and evaluates the 40-year MERRA-2 surface solar radiation (SSR) and its interdecadal changes, comparing them with high quality reference surface measurements. The assessment is done on a large spatial and temporal scale, with in-depth analysis of SSR anomalies. The results show a good correlation between MERRA-2 and the reference measurements.
APPLIED SCIENCES-BASEL
(2022)
Article
Meteorology & Atmospheric Sciences
Xin Ma, Aihui Wang
Summary: This study simulated land surface processes in China using the CLM5 model and validated the results using multiple high-quality datasets. The simulations accurately captured most of the hydrological variables and energy fluxes, with some biases in certain aspects.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Agronomy
Alireza Araghi, Christopher J. Martinez, Jorgen E. Olesen
Summary: Solar radiation is crucial for crop growth and development, but the lack of weather data, particularly SRAD, is a challenge in many agricultural areas. Recent advancements in gridded weather data provide realistic alternatives to observed weather data. This study evaluated six GRD products and identified that AgCFSR, AgERA5, and AgMERRA have the highest accuracy for crop simulation modeling.
EUROPEAN JOURNAL OF AGRONOMY
(2022)
Article
Environmental Sciences
J-L F. Li, Kuan-Man Xu, Wei-Liang Lee, J. H. Jiang, Eric Fetzer, Jia-Yuh Yu, Yi-Hui Wang, Graeme Stephens, Li-Chaio Wang
Summary: The land skin temperature (Ts) is directly influenced by surface energy balance, particularly radiative energy, and can be linked to model representation of hydrometeors in the atmosphere. The differences between simulations with and without radiative effects of falling ice hydrometeors are more pronounced in surface energy fluxes and temperature changes across different latitudinal zones. Temporal correlation analysis shows that the relationship between Ts and falling ice hydrometeor changes is stronger at high latitudes but weakened by shortwave changes at low latitudes.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Xiangchen Meng, Jie Cheng, Hao Guo, Yahui Guo, Beibei Yao
Summary: This article evaluates the performance of the Landsat 9 land surface temperature (LST) product and compares it with the LST products from Landsat 7/8. The results show that the Landsat 9 LST product performs well and is similar to other products. The evaluation results also validate the consistency of the Landsat 9 LST product, indicating its usability in multiple applications.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
S. Kratschmer, A. Cauquoin, G. Lohmann, M. Werner
Summary: Simulating the Last Glacial Maximum provides a rigorous test of climate models' ability. Comparing simulated land surface temperatures with reconstructed data, inconsistencies between the two suggest potential biases in proxy reconstructions and/or climate models' sensitivity.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Yanyi He, Kaicun Wang, Fei Feng
Summary: This study verified the improvement of surface incident solar radiation (R-s) simulation in China by the European Centre for Medium-Range Weather Forecasts' fifth generation reanalysis (ERA5) compared to its predecessor, ERA-Interim. While ERA5 showed reduced overestimation of R-s values, it still exhibits bias in simulation trends due to ignoring aerosol changes on interannual or decadal time scales. Subsequent reanalysis products need to focus on improving simulation of clouds, water vapor, and aerosols, particularly in understanding aerosol effects on R-s.
JOURNAL OF CLIMATE
(2021)
Article
Meteorology & Atmospheric Sciences
Jatin Kala, Arianna Valmassoi, Annette L. Hirsch
Summary: Recent studies show that irrigation may be an option for cooling southeast Australia, and this study aims to quantify its potential benefits. Using simulations, the study found that irrigation could reduce summer temperatures by -1.44 to -2.13 degrees C, with the most cooling achieved through midday irrigation over 4 hours. The choice of land surface model and consideration of realistic irrigation volumes and equipped areas were found to strongly influence the cooling effects. Global models that do not take these factors into account may overestimate the cooling benefits of irrigation.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Environmental Sciences
Wanyi Lin, Hua Yuan, Wenzong Dong, Shupeng Zhang, Shaofeng Liu, Nan Wei, Xingjie Lu, Zhongwang Wei, Ying Hu, Yongjiu Dai
Summary: This study reprocessed the MODIS LAI data and found that the reprocessed data performed better in validation against reference maps and had smoother and more consistent time series. Compared to C5, MODIS C6.1 LAI showed improvements in ground validation but little improvement in spatial and temporal continuity. Therefore, the reprocessed C6.1 data is recommended as a substitute for the reprocessed C5 data in land surface and climate modeling.
Article
Geosciences, Multidisciplinary
E. Andres Quichimbo, Michael Bliss Singer, Katerina Michaelides, Daniel E. J. Hobley, Rafael Rosolem, Mark O. Cuthbert
Summary: Dryland regions face challenges under climate change due to water scarcity, and predicting water partitioning is crucial. The DRYP model, tested in the Walnut Gulch Experimental Watershed, effectively quantifies key components of the dryland water balance.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Lixing Shen, Chuanfeng Zhao, Xingchuan Yang
Summary: This study analyzed the long-term trend of sea-land breeze in Los Angeles using 20 years of observation data. It found that sea wind speed is positively correlated with in situ solar radiation, while the seasonal variation of land wind speed is weaker, influenced by temperature difference between land and sea and upper layer westerlies. During winter, stronger upper westerlies enhance land wind circulation offsetting the seasonal gap.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Computer Science, Interdisciplinary Applications
Wenjie Liu, Huade Guan, Hugo A. Gutierrez-Jurado, Eddie W. Banks, Xinguang He, Xinping Zhang
Summary: A double-shading transposition model (DST) is proposed to simulate the temporal and spatial distribution of solar radiation. The model performs well in simulating above- and under-canopy radiation and has potential applications in ecohydrological modelling and catchment management in mountainous areas.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Yuan Zhang, Philippe Ciais, Olivier Boucher, Fabienne Maignan, Ana Bastos, Daniel Goll, Thibaut Lurton, Nicolas Viovy, Nicolas Bellouin, Laurent Li
Summary: This study quantified the overall physical impacts of anthropogenic aerosols on land carbon fluxes and found that aerosol-induced increase in the fraction of diffuse radiation significantly enhances the land carbon sink. The dominant role of diffuse radiation changes implies that future aerosol emissions may have a much stronger impact on the carbon cycle through changing radiation quality than through changing climate alone.
Article
Green & Sustainable Science & Technology
Junxia Jiang, Xiaoqing Gao, Qingquan Lv, Zhenchao Li, Peidu Li
Summary: Experimental and analytical studies conducted in the PV plant and natural barren field in Xinjiang, China, show that the physical effects of PV panels are asymmetrical throughout the day. During the day, PV panels lead to warming of the underlying surface and cooling of the ground surface, while at night they produce a cooling effect. The results also indicate changes in heat flux and air temperature due to the presence of PV modules.
Article
Meteorology & Atmospheric Sciences
Fuyao Wang, Michael Notaro, Yan Yu, Jiafu Mao
Summary: This study systematically investigates and compares the simulated seasonal precipitation response in the Sahel among CMIP5 ESMs and its observational counterpart. It finds that CMIP5 models can reasonably capture the seasonal evolution of Sahel precipitation and soil moisture, although with some biases. The coupling of an ESM to a DGVM is critical in generating reasonable land-atmosphere feedback and examining future ecological and climatic changes over the Sahel.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Multidisciplinary Sciences
Yan Yu, Jiafu Mao, Stan D. Wullschleger, Anping Chen, Xiaoying Shi, Yaoping Wang, Forrest M. Hoffman, Yulong Zhang, Eric Pierce
Summary: A new study develops a machine learning framework to observationally constrain CMIP6-simulated fire carbon emissions, finding a weaker increase in global fires but higher increase in their socioeconomic risks than previously thought. The study highlights the importance of reliable projections of wildfires and associated socioeconomic risks for the development of effective adaptation and mitigation strategies. Additionally, it emphasizes the need for observational constraints in modeling outputs to enhance the credibility of wildfire projections. The study presents a machine learning framework to constrain future fire carbon emissions and indicates a weaker increase in global fire carbon emissions but higher increase in global wildfire exposure in population, gross domestic production, and agricultural area.
NATURE COMMUNICATIONS
(2022)
Article
Agronomy
Anping Chen, Fandong Meng, Jiafu Mao, Daniel Ricciuto
Summary: Vegetation phenology is highly sensitive to climate change. Using solar-induced chlorophyll fluorescence (SIF) and Normalized Difference Vegetation Index (NDVI), the study found similar spatial patterns in phenological states but different dates for key events. NDVI data overestimated the photosynthetic period in the extratropical Northern Hemisphere compared to CSIF data.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Rui Zhou, Yaoping Wang, Mingzhou Jin, Jiafu Mao, Xu Zheng
Summary: The sustainability of the coffee industry is a shared concern for all participants along the coffee supply chain due to growing demand and uncertain supply. This study proposes a decision-making model to analyze how to best mitigate arabica coffee supply shortage and achieve sustainability.
JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES
(2022)
Article
Environmental Sciences
Peiyi Yin, Xuecao Li, Jiafu Mao, Brian A. Johnson, Bingyu Wang, Jianxi Huang
Summary: Crop planting significantly affects the differences in land surface phenology between urban and rural areas, and should be explicitly considered in future studies on this topic.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Ecology
Fandong Meng, Songbai Hong, Jiawei Wang, Anping Chen, Yao Zhang, Yichen Zhang, Ivan A. Janssens, Jiafu Mao, Ranga B. Myneni, Josep Penuelas, Shilong Piao
Summary: Using satellite data, we investigated the trends in foliar carbon accumulation and allocation during leaf green-up across the Northern Hemisphere from 2000 to 2017. Our results showed that there was an accelerated accumulation of foliar carbon in the early green-up period, driven by both increased photosynthesis and higher carbon allocation to leaves due to climate change. However, in the late stage of green-up, there were decreasing trends in foliar carbon accumulation and allocation. These stage-dependent trends are currently not represented in terrestrial biosphere models, highlighting the need for better incorporation of carbon allocation in these models.
Article
Environmental Sciences
Yuhao Pan, Dailiang Peng, Jing M. Chen, Ranga B. Myneni, Xiaoyang Zhang, Alfredo R. Huete, Yongshuo H. Fu, Shijun Zheng, Kai Yan, Le Yu, Peng Zhu, Miaogen Shen, Weimin Ju, Wenquan Zhu, Qiaoyun Xie, Wenjiang Huang, Zhengchao Chen, Jingfeng Huang, Chaoyang Wu
Summary: Global warming has caused earlier spring green-up dates, impacting global carbon and hydrologic cycles. Land cover change (LCC) can also affect these dates. By analyzing satellite data from 1992 to 2020, we found that climate variables had a larger impact overall, but LCC controlled the variability in green-up dates in 6% of the Northern Hemisphere. Changes in land cover types led to earlier or later green-up dates in specific regions. Ignoring the impact of LCC overestimated the climate change attribution of earlier green-up dates by three days.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Long Li, Wenfeng Zhan, Weimin Ju, Josep Penuelas, Zaichun Zhu, Shushi Peng, Xiaolin Zhu, Zihan Liu, Yuyu Zhou, Jiufeng Li, Jiameng Lai, Fan Huang, Gaofei Yin, Yongshuo Fu, Manchun Li, Chao Yu
Summary: Urban vegetation is influenced by complex urban environments. The study reveals that greenness trends decrease from urban cores to urban new towns, and brownish trends are observed in urban fringes. These results highlight the joint influence of biogeochemical drivers and land-cover changes on the urban-rural gradient in vegetation trends, providing insights into future global vegetation change.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Anping Chen, Daniel Ricciuto, Jiafu Mao, Jiawei Wang, Dan Lu, Fandong Meng
Summary: We developed ML models to predict the GPP-SIF relationship and applied them to estimate global SIF, showing good performance. Our integrated approach provides a new avenue for improving land models and using remote-sensing SIF.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Jia Mao, Jinyuan Cheng, Xiangyu Li, Honggang Zhao, Dexin Yu
Summary: This paper addresses the issue of high carbon emissions caused by the unreasonable layout of the disassembly line by designing a systematic low-carbon layout for the logistics processing center. The research object is the disassembly line in Company H's logistics center. By analyzing the process and material flow intensity level of the disassembly line layout, three different optimization schemes are derived. The optimal disassembly line layout optimization scheme is obtained through weighted gray correlation analysis.
Article
Environmental Sciences
Xiangxu Kong, Jiafu Mao, Haishan Chen, Yaoping Wang, Yulong Zhang, Xiaoying Shi, Mingzhou Jin
Summary: The vegetation seasonality in the northern extratropical latitudes has experienced significant changes, primarily influenced by climate change and elevated CO2 concentration. Climate change affects the concentration of vegetation growth, while both climate change and CO2 contribute to the increased magnitude of vegetation growth. The study highlights the importance of environmental factors in vegetation seasonality and provides valuable insights for policymakers and land managers in developing sustainable ecosystem management strategies.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Juan Chen, Zhiyong Liu, Jiafu Mao, Tongtiegang Zhao, Tongbi Tu, Linyin Cheng, Chunyu Dong
Summary: The study found that water and energy co-regulate the spatial heterogeneity in drought resistance and resilience of global vegetation. Increased water availability is positively correlated with increased drought resistance, while increased energy is positively correlated with increased drought resilience. There is a negative correlation between resistance and resilience across different biomes, but the strength of the negative correlation varies based on water and energy conditions.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Correction
Plant Sciences
Qian Zhao, Zaichun Zhu, Hui Zeng, Ranga B. Myneni, Yao Zhang, Josep Penuelas, Shilong Piao
Article
Environmental Sciences
Fei Kan, Xu Lian, Jiangpeng Cui, Anping Chen, Jiafu Mao, Mingzhu He, Hao Xu, Shilong Piao
Summary: This study systematically analyzed the trend of difference between satellite-based land surface temperature and station-based air temperature from 2003 to 2022. The results showed that during daytime of summer, the satellite-based temperature exhibited slower warming rate compared to the station-based temperature, which was attributed to recent Earth greening. However, during summer nighttime and winter daytime and nighttime, the satellite-based temperature showed faster warming rate.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Lin Meng, Yuyu Zhou, Miguel O. Roman, Eleanor C. Stokes, Zhuosen Wang, Ghassem R. Asrar, Jiafu Mao, Andrew D. Richardson, Lianhong Gu, Yiming Wang
Summary: Artificial light at night (ALAN) has significant effects on plant phenology, including advancing budburst and delaying leaf coloring. The magnitude of these effects is correlated with the intensity of ALAN, and there is an interaction between ALAN and temperature on leaf coloring. Under future climate warming scenarios, ALAN will accelerate budburst but have a more complex impact on leaf coloring.