Article
Meteorology & Atmospheric Sciences
Camila Gomes Martins Ramos, Haochen Tan, Pallav Ray, Jimy Dudhia
Summary: Precipitation cools the surface due to sensible heat flux, with the highest values found in the Intertropical Convergence Zone and the South Pacific Convergence Zone. The correlation between Q(P) and precipitation is not well established on land, but Q(P) can be larger than Q(SH) and Q(LH) during heavy precipitation events at shorter time scales based on in-situ buoy observations. Future research avenues related to Q(P) implications are discussed.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
Kang Jiang, Zhihua Pan, Feifei Pan, Jialin Wang, Guolin Han, Yu Song, Ziyuan Zhang, Na Huang, Shangqian Ma, Xiao Chen
Summary: This study analyzes the impacts of soil moisture on the surface-air temperature difference (Ts-Ta) using ERA5-land reanalysis data. The findings reveal the significant influence of soil moisture on Ts-Ta, providing valuable insights into regional characteristics of global climate change and land degradation assessment indicators.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Shuzhou Wang, Yaoming Ma, Yuxin Liu
Summary: The Noah-MP land surface model was used to simulate the land surface processes on the Tibetan Plateau, and the distribution and changes of sensible and latent heat fluxes were analyzed. The study found that the inter-annual variations of sensible heat fluxes were larger in the central and western regions, while latent heat fluxes were larger in the eastern region. The overall trend for latent heat fluxes on the Tibetan Plateau was increasing, but with a decreasing trend since around 2003.
ATMOSPHERIC RESEARCH
(2022)
Article
Agronomy
Yini Han, Songheng Jin, Wenjing Chen, Misha Zhan, Zheng Yuan, Xiao Wang, Shangbin Bai
Summary: In this study, the authors investigated the surface energy balance and its control factors in a poplar plantation in northern China. They found significant differences in energy partitioning between dry and wet periods, as well as between different seasons within the year. Soil water availability played a dominant role in controlling energy exchange, and the limitation of poplar water use and energy partitioning under current water conditions was highlighted. The study suggests the need for careful species selection for afforestation in this area.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Heping Liu, Zhongming Gao, Gabriel G. Katul
Summary: This study investigates the impact of asymmetric flux transport by large turbulent eddies on the non-closure of the surface energy balance. It is found that under unstable atmospheric stability conditions, sweeps and ejections of large eddies cause asymmetric heat and water vapor transport, leading to reduced fluxes. The asymmetry in flux transport contributes to the observed non-closure of the surface energy balance, particularly as surface heating increases and wind speeds decrease.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Agronomy
Francesc Castellvi, Maria P. Gonzalez Dugo
Summary: The study tested a one-source model type HSR-LST that combines surface renewal and similarity theories to estimate sensible heat flux, showing its performance under various stable and unstable conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Ren Wang, Longhui Li, Pierre Gentine, Yao Zhang, Jianyao Chen, Xingwei Chen, Lijuan Chen, Liang Ning, Linwang Yuan, Guonian Lu
Summary: This study uses machine learning models and ground observations to determine that global land evapotranspiration (ET) has significantly increased in recent decades, with increasing temperature being the main driver. These findings have important implications for estimating ET and understanding terrestrial water cycles in changing environments.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Na Li, Ping Zhao, Changyan Zhou
Summary: In this study, the daily sensible and latent heat fluxes in the Tibetan Plateau are estimated using the maximum entropy production model. The results show good performance of the model and reveal the spatial distribution and trends of surface heat fluxes in the region.
ATMOSPHERIC RESEARCH
(2024)
Article
Environmental Sciences
Sudhakaran Syamala Prijith, Karri Srinivasarao, Chaluparambil Balan Lima, Biswadip Gharai, Pamaraju Venkata Narasimha Rao, Mullapudi Venkata Rama SeshaSai, Muvva Venkata Ramana
Summary: The study reveals that land use and land cover changes in Northwest India can affect regional meteorology, leading to a decrease in surface air temperature, an increase in relative humidity, and changes in other meteorological parameters.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Xin Zhou, Pallav Ray, Bradford S. Barrett, Pang-Chi Hsu
Summary: Recent studies have shown that most AMIP5 models overestimate surface heat fluxes over tropical oceans, with AMIP6 models showing improvement in this aspect. However, systematic spatial biases remain in both sets of models, resulting in only small improvements in simulated fluxes. The primary reasons for the improvements seen in AMIP6 are the better representation of wind speed and air-sea humidity difference for latent heat flux, and air-sea temperature difference for sensible heat flux.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Erin B. Wetherley, Dar A. Roberts, Christina L. Tague, Charles Jones, Dale A. Quattrochi, Joseph P. McFadden
Summary: This study investigates the variability of urban energy flux across different landcover and climate gradients in urbanized Los Angeles County, USA. The research shows that urban climates are significantly impacted by localized parameters, irrigation, and regional climate. Furthermore, schedule-based water conservation policies may reduce the cooling capacity of urban vegetation in the late afternoon, and there is a stronger negative effect of distance from the coast on latent heat flux in interior areas compared to coastal areas.
Article
Agronomy
Junming Yang, Yunjun Yao, Changliang Shao, Yufu Li, Joshua B. Fisher, Jie Cheng, Jiquan Chen, Kun Jia, Xiaotong Zhang, Ke Shang, Ruiyang Yu, Xiaozheng Guo, Zijing Xie, Lu Liu, Jing Ning, Lilin Zhang
Summary: A novel method for daily LE estimation using all-weather LST was proposed and validated in mainland China, demonstrating its accuracy at regional scale.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Jaemin Kim, Yun Gon Lee
Summary: This study used satellite data and observational data to analyze ocean-atmosphere energy exchange around the Korean Peninsula, revealing seasonal characteristics and the impact of summer typhoons on marine heat flux. The results showed a strong correlation between satellite-derived air-sea variables and marine buoy observational data.
Article
Geosciences, Multidisciplinary
J. Masanganise, R. Kunz, A. D. Clulow, T. Mabhaudhi, M. J. Savage
Summary: This study estimated soybean evapotranspiration using the surface renewal (SR) method, and found that the SRMOST and SRDT methods slightly overestimated evapotranspiration during flowering, pod formation, and seed filling, while underestimating it during senescence and maturity compared to the standard crop coefficient (Kc) approach. The SRDT method showed closer agreement with the Kc approach. Overall, the surface renewal method is a reliable and cost-effective method for estimating crop evapotranspiration when crop coefficients are problematic.
PHYSICS AND CHEMISTRY OF THE EARTH
(2022)
Article
Environmental Sciences
Hara Prasad Nayak, Sridhara Nayak, Suman Maity, Nibedita Patra, Kuvar Satya Singh, Soma Dutta
Summary: This study investigates the influence of near-surface atmospheric parameters on land surface processes at the land-atmosphere interface. The results show that downward longwave radiation and T2 are highly sensitive to land surface processes, while wind speed is the least sensitive. The sensitivity of land surface processes also varies with soil moisture content and contrasting seasons.
Article
Biodiversity Conservation
Vicente Burchard-Levine, Hector Nieto, David Riano, Wiliam P. Kustas, Mirco Migliavacca, Tarek S. El-Madany, Jacob A. Nelson, Ana Andreu, Arnaud Carrara, Jason Beringer, Dennis Baldocchi, M. Pilar Martin
Summary: This study proposed a new thermal-based three-source energy balance (3SEB) model, which successfully simulated the evapotranspiration from different vegetation sources. The results showed that trees and grasses had contrasting relations with respect to monthly precipitation, indicating different responses to seasonal water availability.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Agronomy
William P. Kustas, Hector Nieto, Omar Garcia-Tejera, Nicolas Bambach, Andrew J. McElrone, Feng Gao, Joseph G. Alfieri, Lawrence E. Hipps, John H. Prueger, Alfonso Torres-Rua, Martha C. Anderson, Kyle Knipper, Maria Mar Alsina, Lynn G. McKee, Einara Zahn, Elie Bou-Zeid, Nick Dokoozlian
Summary: Water conservation efforts are crucial for the sustainability of California's agricultural industry, especially for perennial crops such as vineyards and orchards. Remote sensing-based models, particularly the two-source energy balance model, can be used to map crop water use and achieve significant water savings. However, modifications are needed to accurately estimate evapotranspiration and partitioning between evaporation and transpiration, especially in irrigated croplands affected by advection of hot dry air masses.
IRRIGATION SCIENCE
(2022)
Article
Environmental Sciences
Ayman Nassar, Alfonso Torres-Rua, Lawrence Hipps, William Kustas, Mac McKee, David Stevens, Hector Nieto, Daniel Keller, Ian Gowing, Calvin Coopmans
Summary: Understanding the spatial variability in highly heterogeneous natural environments is important for energy flux modeling, especially for evapotranspiration estimation. This research used small unmanned aerial systems (sUAS) data to study the influence of land surface spatial heterogeneity on the modeling of evapotranspiration. The results showed that spatial resolution had minimal impact on the model estimates.
Article
Agronomy
Rui Gao, Alfonso F. Torres-Rua, Mahyar Aboutalebi, William A. White, Martha Anderson, William P. Kustas, Nurit Agam, Maria Mar Alsina, Joseph Alfieri, Lawrence Hipps, Nick Dokoozlian, Hector Nieto, Feng Gao, Lynn G. McKee, John H. Prueger, Luis Sanchez, Andrew J. Mcelrone, Nicolas Bambach-Ortiz, Calvin Coopmans, Ian Gowing
Summary: This study explores the use of machine learning algorithms and high-resolution unmanned aerial system information for LAI estimation, finding that a hybrid ML technique using RF and RVM with a Fast Approach performs well in terms of accuracy and efficiency.
IRRIGATION SCIENCE
(2022)
Article
Environmental Sciences
Emre Tunca, Eyup Selim Koksal, Alfonso Torres-Rua, William P. Kustas, Hector Nieto
Summary: Crop evapotranspiration (ET) is crucial for energy and water budgets and vital for agricultural water management. This study evaluated the two-source energy balance (TSEB) model using high-resolution UAV imagery to estimate daily and seasonal ET for crops. The results showed a high correlation between the TSEB estimates and the values derived from a soil water budget approach. The TSEB model has the potential for accurate ET estimation in small agricultural fields using high-resolution UAV images.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Environmental Sciences
Christian Jofre-Cekalovic, Hector Nieto, Joan Girona, Magi Pamies-Sans, Joaquim Bellvert
Summary: Accounting for water use in agricultural fields is crucial for improving water use efficiency in the future. This study assessed the use of a remote sensing technique called TSEBS2+S3 to estimate almond crop water use under different irrigation regimes. The results were compared and validated with other models, and the study demonstrated the feasibility of this approach.
Article
Biodiversity Conservation
Maria Rosario Moya, Ana Lopez-Ballesteros, Enrique P. Sanchez-Canete, Penelope Serrano-Ortiz, Cecilio Oyonarte, Francisco Domingo, Andrew S. Kowalski
Summary: This study provides clear empirical evidence of globally occurring subterranean ventilation events, shedding light on the overlooked role they play in the global carbon cycle, particularly in arid and semi-arid regions. Understanding and further studying these events are crucial for validating remote sensing products, constraining models, and estimating the impact of biological CO2 exchanges on the global ecosystem carbon balance.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Agronomy
Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac McKee, William P. Kustas, Hector Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Lynn McKee, Joseph Alfieri, Lawrence Hipps, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian
Summary: Monitoring evapotranspiration through land surface temperature measured by satellites and unmanned aerial vehicles is possible. Higher resolution of land surface temperature can improve the performance of remote sensing evapotranspiration models. However, the spatial resolutions of thermal imagery are coarser than those in optical and near-infrared bands. Therefore, it is important to develop thermal sharpening techniques. In this study, a coupled wavelet, machine learning, and optimization algorithm was implemented for downscaling UAV thermal imagery, leading to improved estimations of soil heat flux and reduced differences in latent heat flux.
IRRIGATION SCIENCE
(2022)
Article
Agronomy
Yanghui Kang, Feng Gao, Martha Anderson, William Kustas, Hector Nieto, Kyle Knipper, Yun Yang, William White, Joseph Alfieri, Alfonso Torres-Rua, Maria Mar Alsina, Arnon Karnieli
Summary: This study assessed six satellite-based Leaf Area Index (LAI) estimation methods and found that radiative transfer modeling-based methods performed well for low to medium LAI but underestimated high LAI. Cubist regression models achieved high accuracy but did not generalize well between sites. Additionally, the red edge bands and vegetation index from Sentinel-2 satellite provided complementary information for LAI estimation. The thermal-based two-source energy balance model was more sensitive to positive LAI biases.
IRRIGATION SCIENCE
(2022)
Article
Environmental Sciences
Jianxiu Qiu, Wade T. Crow, Sheng Wang, Jianzhi Dong, Yan Li, Monica Garcia, Wei Shangguan
Summary: This study investigates the response of vegetation to water-stress conditions using microwave-based techniques and finds that isohydric vegetation is more sensitive to water stress but also has higher water use efficiency and tolerance of carbon starvation risk.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Steve W. Lyon, Benjamin M. C. Fischer, Laura Morillas, Johanna Rojas Conejo, Ricardo Sanchez-Murillo, Andrea Suarez Serrano, Jay Frentress, Chih-Hsin Cheng, Monica Garcia, Mark S. Johnson
Summary: This study investigates the hydrological impacts of biochar as a soil amendment on water cycling using stable water isotopes and hydrometric data. The results show that biochar increases soil moisture content and reduces variability of soil matric potential, indicating its potential to enhance water holding capacity in soils without competing with plants for water sources.
Article
Water Resources
Benjamin M. C. Fischer, Laura Morillas, Johanna Rojas Conejo, Ricardo Sanchez-Murillo, Andrea Suarez Serrano, Jay Frentress, Chih-Hsin Cheng, Monica Garcia, Stefano Manzoni, Mark S. Johnson, Steve W. Lyon
Summary: Amending soils with biochar can increase water availability and drought tolerance for plants, but it is not a substitute for other water management strategies.
HYDROLOGICAL PROCESSES
(2022)
Article
Environmental Sciences
Rui Gao, Alfonso F. Torres-Rua, Hector Nieto, Einara Zahn, Lawrence Hipps, William P. Kustas, Maria Mar Alsina, Nicolas Bambach, Sebastian J. Castro, John H. Prueger, Joseph Alfieri, Lynn G. McKee, William A. White, Feng Gao, Andrew J. McElrone, Martha Anderson, Kyle Knipper, Calvin Coopmans, Ian Gowing, Nurit Agam, Luis Sanchez, Nick Dokoozlian
Summary: Evapotranspiration (ET) is a crucial factor in commercial grapevine production, and its partitioning allows for separate assessment of soil and vine water and energy fluxes. Small unmanned aerial systems (sUAS) coupled with the two-source energy balance (TSEB) model provide a method for ET estimation and partitioning in vineyards. This study explores the assessment of ET and its partitioning using ground-based information and high-resolution sUAS imagery.
Article
Water Resources
Christian J. Koppl, Ursula S. McKnight, Gregory G. Lemaire, Agnete M. Norregaard, Thea C. Thiim, Poul L. Bjerg, Peter Bauer-Gottwein, Monica Garcia
Summary: This study evaluated the performance of a hyperspectral imaging system and a consumer grade camera in mapping the concentration of a fluorescent tracer in a contaminated stream. The results showed that the hyperspectral system performed better than the RGB camera in mapping the concentration in all sections of the stream, regardless of illumination changes.
ADVANCES IN WATER RESOURCES
(2023)
Article
Geosciences, Multidisciplinary
Yubo Liu, Monica Garcia, Chi Zhang, Qiuhong Tang
Summary: This study investigates the changes in precipitation in the Iberian Peninsula and assesses the impact of local moisture recycling and external moisture on summer precipitation reduction. The findings suggest that the decrease in local moisture contribution and the feedback with drier land surface exacerbate the local moisture scarcity and summer drought.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Agronomy
Wenyi Xu, Bo Elberling, Per Lennart Ambus
Summary: The frequency and extent of wildfires in the Arctic have been increasing due to climate change. In this study, researchers conducted experiments in West Greenland to investigate the long-term impacts of climate warming on post-fire carbon dioxide exchange in arctic tundra ecosystems. They found that fire increased soil organic phosphorus concentrations and burned areas remained a net CO2 source five years after the fire. However, with four to five years of summer warming, the burned areas turned into a net CO2 sink.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yuanhang Yang, Jiabo Yin, Shengyu Kang, Louise J. Slater, Xihui Gu, Aliaksandr Volchak
Summary: This study investigates the impacts of water and heat stress on carbon uptake in China and explores the driving mechanisms of droughts using a machine learning model. The results show that droughts are mostly driven by atmospheric dryness, with precipitation, relative humidity, and temperature playing dominant roles. Water and heat stress have negative impacts on carbon assimilation, and drought occurrence is projected to increase significantly in the future. Improving ecosystem resilience to climate warming is crucial in mitigating the negative effects of droughts on carbon uptake.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Mingjun Wang, Lu Zhao, Ziling He, Yu Feng, Yaosheng Wang, Daozhi Gong, Chunwei Liu, Rangjian Qiu
Summary: This study proposes a method to partition evapotranspiration (ET) into its components in agroforestry systems. The method is based on water-carbon coupling theory and flux conservation hypothesis. The results show that the partitioned components agree well with measurements from other sensors. The study also finds that atmospheric evaporation demand and vegetation factors greatly influence the components of ET, and increased tree leaf area limits understory grass transpiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xinhao Li, Tianshan Zha, Andrew Black, Xin Jia, Rachhpal S. Jassal, Peng Liu, Yun Tian, Chuan Jin, Ruizhi Yang, Feng Zhang, Haiqun Yu, Jing Xie
Summary: With the rapid increase of urbanization, evapotranspiration (ET) in urban forests has become increasingly important in urban hydrology and climate. However, there is still a large uncertainty regarding the factors that regulate ET in urban areas. This study investigates the temporal variations of ET in an urban forest park in Beijing using the eddy-covariance technique. The results show that daily ET is close to zero during winter but reaches 3-6 mm day-1 in summer. Daily ET increases with vapor pressure deficit (VPD) and soil water content (SWC). Monthly ET increases linearly with normalized difference vegetation index and shows a strong correlation with surface conductance (gs), while exhibiting saturated responses to increasing monthly precipitation (PPT). Annual ET ranges from 326 to 566 mm, and soil water replenishment through PPT from the previous year is responsible for the generally higher monthly ET in spring relative to PPT. Biotic factors and PPT seasonality play essential roles in regulating ET at different scales.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Zhaogang Liu, Zhi Chen, Meng Yang, Tianxiang Hao, Guirui Yu, Xianjin Zhu, Weikang Zhang, Lexin Ma, Xiaojun Dou, Yong Lin, Wenxing Luo, Lang Han, Mingyu Sun, Shiping Chen, Gang Dong, Yanhong Gao, Yanbin Hao, Shicheng Jiang, Yingnian Li, Yuzhe Li, Shaomin Liu, Peili Shi, Junlei Tan, Yakun Tang, Xiaoping Xin, Fawei Zhang, Yangjian Zhang, Liang Zhao, Li Zhou, Zhilin Zhu
Summary: This study investigates the responses of temperate grassland (TG) and alpine grassland (AG) to climate change by studying carbon (C) fluxes across different regions in China. The results reveal that water factors consistently increase C fluxes, while temperature factors have opposite effects on TG and AG. The study enhances our understanding of C sinks and grassland sensitivity to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Peng Li, Huijie Li, Bingcheng Si, Tao Zhou, Chunhua Zhang, Min Li
Summary: This study mapped the distribution of forest age on the Chinese Loess Plateau using the LandTrendr algorithm. The results show that the LT algorithm is a convenient, efficient, and reliable method for identifying forest age. The findings have important implications for assessing and quantifying biomass and carbon sequestration in afforestation efforts on the Chinese Loess Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Review
Agronomy
Yean-Uk Kim, Heidi Webber, Samuel G. K. Adiku, Rogerio de S. Noia Junior, Jean-Charles Deswarte, Senthold Asseng, Frank Ewert
Summary: As climate change is expected to increase the intensity and frequency of extreme weather events, it is crucial to assess their impact on cropping systems and explore adaptation options. Process-based crop models (PBCMs) have improved in simulating the impacts of major extreme weather events, but still struggle to reproduce low crop yields under wet conditions. This article provides an overview of the yield-loss mechanisms of excessive rainfall in cereals and the associated modelling approaches, aiming to guide improvements in PBCMs.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xiaodong Liu, Yingjie Feng, Xinyu Zhao, Zijie Cui, Peiling Liu, Xiuzhi Chen, Qianmei Zhang, Juxiu Liu
Summary: Understanding the impact of climate on litterfall production is crucial for simulating nutrient cycling in forest ecosystems. This study analyzed a 14-year litterfall dataset from two subtropical forests in South China and found that litterfall was mainly influenced by wind speed during the wet season and by temperature during the dry season. These findings have potential significance in improving our understanding of carbon and nutrient cycling in subtropical forest ecosystems under climate change conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ruonan Chen, Liangyun Liu, Zhunqiao Liu, Xinjie Liu, Jongmin Kim, Hyun Seok Kim, Hojin Lee, Genghong Wu, Chenhui Guo, Lianhong Gu
Summary: Solar-induced chlorophyll fluorescence (SIF) has the potential to estimate gross primary production (GPP), but the quantitative relationship between them is not constant. In this study, a mechanistic model for SIF-based GPP estimation in evergreen needle forests (ENF) was developed, considering the seasonal variation in a key parameter of the model. The GPP estimates from this model were more accurate compared to other benchmark models, especially in extreme conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jingyi Zhu, Yanzheng Yang, Nan Meng, Ruonan Li, Jinfeng Ma, Hua Zheng
Summary: This study developed a random forest model using climate station and satellite data to generate high-precision precipitation datasets for the Qinghai-Tibet Plateau. By incorporating multisource satellite data, the model achieved a significant enhancement in precipitation accuracy and showed promising results in regions with limited meteorological stations and substantial spatial heterogeneity in precipitation patterns.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yulin Yan, Youngryel Ryu, Bolun Li, Benjamin Dechant, Sheir Afgen Zaheer, Minseok Kang
Summary: Sustainable rice farming practices are urgently needed to meet increasing food demand, cope with water scarcity, and mitigate climate change. Traditional farming methods that prioritize a single objective have proven to be insufficient, while simultaneously optimizing multiple competing objectives remains less explored. This study optimized farm management to increase rice yield, reduce irrigation water consumption, and tackle the dilemma of reducing GHG emissions. The results suggest that the optimized management can maintain or even increase crop yield, while reducing water demand and GHG emissions by more than 50%.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Sasha D. Hafner, Jesper N. Kamp, Johanna Pedersen
Summary: This study compared micrometeorological and wind tunnel measurements using a semi-empirical model to understand wind tunnel measurement error. The results showed differences in emission estimates between the two methods, but the ALFAM2 model was able to reproduce emission dynamics for both methods when considering differences in mass transfer. The study provides a template for integrating and comparing measurements from different methods, suggesting the use of wind tunnel measurements for model evaluation and parameter estimation.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Wenfang Xu, Wenping Yuan, Donghai Wu, Yao Zhang, Ruoque Shen, Xiaosheng Xia, Philippe Ciais, Juxiu Liu
Summary: In the summer of 2022, China experienced record-breaking heatwaves and droughts, which had a significant impact on plant growth. The study also found that heatwaves were more critical than droughts in limiting vegetation growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jiaqi Guo, Xiaohong Liu, Wensen Ge, Liangju Zhao, Wenjie Fan, Xinyu Zhang, Qiangqiang Lu, Xiaoyu Xing, Zihan Zhou
Summary: Vegetation photosynthetic phenology is an important indicator for understanding the impacts of climate change on terrestrial carbon cycle. This study evaluated and compared the abilities of different spectral indices to model photosynthetic phenology, and found that NIRv and PRI are effective proxies for monitoring photosynthetic phenology.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Arango Ruda Elizabeth, M. Altaf Arain
Summary: Temperate deciduous forests have significant impacts on regional and global water cycles. This study examined the effects of climate change and extreme weather events on the water use and evapotranspiration of a temperate deciduous forest in eastern North America. The results showed that photosynthetically active radiation and air temperature were the primary drivers of evapotranspiration, while vapor pressure deficit regulated water use efficiency. The study also found a changing trend in water use efficiency over the years, influenced by extreme weather conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)