The Growth and Yield of Shallots and Melons Based on the Interseasonal Windbreaks Cropping System in Anticipation of Climate Change by Saparso, Sudarmaji Arief, Bachtiar Musthafa Muhammad, Tamad

“…The first factor is the type of season (dry and rain). The second factor is the type of windbreaker (without windbreaker, 1.5 m plastic windbreaker, 3 rows corn windbreaker, alley corn windbreaker). …”
Get full text

A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions by Chen Wang, Justin E. Stopa, Doug Vandemark, Ralph Foster, Alex Ayet, Alexis Mouche, Bertrand Chapron, Peter Sadowski

“…Twelve tags define roll vortices, convective cells, mixed rolls and convective cells, fronts, rain cells, cold pools and low winds. Examples are provided for each signature. …”
Get full text

Forecasting CO2 emissions in the Persian Gulf States by F.A. Olabemiwo, G.I. Danmaliki, T.A. Oyehan, B.S. Tawabini

“…CO2 accounts for 58.8 percent of all greenhouse gases released via human activities, consequently, presenting a malign impact on the environment through climate change, global warming, biodiversity, acid rain and desertification among others. Due to its importance, the data on CO2 emission obtained from US EIA from 1980 – 2010 was regressed using least square techniques and projections were made to the year 2050. …”
Get full text

Climate change and suicide epidemiology: a systematic review and meta-analysis of gender variations in global suicide rates by Dan-Dan Chen, Jin-Heng Tu, Ke-Nan Ling, Xiao-Hong Jin, Hai-Yan Huang

“…BackgroundClimate change is reshaping public health, introducing extreme weather conditions and environmental stressors—such as high temperatures, atmospheric pollution, desertification, and storms (rain, thunder, and hail)—that critically impact mental health. …”
Get full text

Analysis of Surface Level PM2.5 Measured by Low-Cost Sensor and Satellite-Based Column Aerosol Optical Depth (AOD) over Kathmandu by Jeevan Regmi, Khem N. Poudyal, Amod Pokhrel, Nabin Malakar, Madhu Gyawali, Lekhendra Tripathee, Mukesh Rai, Srikanthan Ramachandran, Katrina Wilson, Rudra Aryal

“…PurpleAir records PM2.5 with a maximum average of 101 ± 26.31 µg m−3, in winter, 55.58 ± 11.42 µg m−3, in spring, 45.46 ± 12.16 µg m−3, in autumn, and a minimum of 22.78 ± 3.23 µg m−3, in the summer. Due to rain and diffusion in the vertical atmosphere, PM2.5 levels are lowest during the summer. …”
Get full text

Pollen contamination and mating structure in maritime pine (Pinus pinaster Ait.) clonal seed orchards revealed by SNP markers by Bouffier, Laurent, Debille, Sandrine, Alazard, Pierre, Raffin, Annie, Pastuszka, Patrick, Trontin, Jean-François

“…Interpretative factors included the distance between the seed orchard and external pollen sources, rain during the pollination period, seed orchard age, soil conditions and seed parent identity. …”
Get full text

Farmers’ Perception of the Impacts of Climate Variability and Change on Food Security in Rubanda District, South Western Uganda by Willbroad, Byamukama, Bello N.J, Omoniyi T.E

“…Climate variability adversely impacts crop production and imposes a major constraint on farming planning, mostly under rain fed conditions across developing countries. …”
Get full text

Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

“…Therefore, the objective of our study was to determine the best combination of vegetation indices and abiotic factors for predicting corn yield in a rain-fed, production-scale area, identify the most suitable corn growth stage for yield estimation using machine learning, and identify the most effective machine learning model for corn yield estimation. …”
Get full text

Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management by Liwen Chen, Boting Hu, Jingxuan Sun, Y. Jun Xu, Guangxin Zhang, Hongbo Ma, Jingquan Ren

“…Multi-layer soil moisture is an important factor in predicting agricultural droughts and waterlogging, with significant implications for the growth, development, and yield prediction of rain fed crops. However, soil moisture datasets or algorithms fail to simultaneously meet the requirements of multi-layer, high spatiotemporal resolution soil moisture information for large-scale agricultural production areas. …”
Get full text

Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The problem is approached in two distinct ways: (1) optimization of 15 designated QoIs, such as the latitude and magnitude of the African rain belt or African easterly jet, using existing surrogate models and (2) optimization of twelve 2D meteorological output fields, such as precipitation, cloud cover, and pressure, using new surrogate models that employ principal component analysis. …”
Get full text

Perception and adaptation to climate change in vulnerable regions by A. Jiménez Bedoya, F. Fuentes Gandara, R. Paternina Uribe, J. Pinedo Hernández

“…This analysis highlights current research directions and academic impacts in climate change, public policies, and adaptation strategies.FINDINGS: The results showed that 100 percent of respondents perceived climate change over the last 20 years, particularly in rain-drought and sowing-harvest cycles, previously predictable. …”
Get full text

Downscaling the probability of heavy rainfall over the Nordic countries by R. E. Benestad, K. M. Parding, A. Dobler

“…The evaluation suggested that present global climate models capture essential aspects of the covariance, and there was a good match between annual wet-day frequency and wet-day mean precipitation derived from ERA5 on the one hand and local rain gauges in the Nordic region on the other. Furthermore, the ensemble downscaled results for annual <span class="inline-formula"><i>f</i>_w</span> and <span class="inline-formula"><i>μ</i></span> were approximately normally distributed, which may justify using the ensemble mean and standard deviation to describe the ensemble spread. …”
Get full text

Formation and fate of freshwater on an ice floe in the Central Arctic by M. M. Smith, N. Fuchs, E. Salganik, D. K. Perovich, I. Raphael, M. A. Granskog, K. Schulz, M. D. Shupe, M. D. Shupe, M. Webster

“…Additionally, the contribution from stored precipitation (snowmelt) outweighs by 5 times the input from in situ summer precipitation (rain). The magnitude and rate of local meltwater production are remarkably similar to those observed on the prior Surface Heat Budget of the Arctic Ocean (SHEBA) campaign, where the cumulative summer freshwater production totaled around 1 m during both. …”
Get full text

Evaluation of Digital PCR as a Technique for Monitoring Acute Rejection in Kidney Transplantation by Hyeseon Lee, Young-Mi Park, Yu-Mee We, Duck Jong Han, Jung-Woo Seo, Haena Moon, Yu-Ho Lee, Yang-Gyun Kim, Ju-Young Moon, Sang-Ho Lee, Jong-Keuk Lee

“…We compared the detection abilities of the QX200, RainDrop, and QuantStudio 3D dPCR systems. The QX200 was the most accurate and sensitive. …”
Get full text

Preharvest Factors Affecting Quality on “Abate Fetel” Pears: Study of Superficial Scald with Multivariate Statistical Approach by Alessandro Bonora, Enrico Muzzi, Cristiano Franceschini, Alexandra Boini, Gianmarco Bortolotti, Kushtrim Bresilla, Giulio Demetrio Perulli, Melissa Venturi, Luigi Manfrini, Luca Corelli Grappadelli

“…Others can decrease SS such as climatic and management factors: late harvest dates, rain, gibberellins, calcium, manure, absence of antihail nets or use of photoselective nets, and site (probably related to better soils toward the Adriatic coast). …”
Get full text

Physiological changes induced by green fodder expansion into grasslands and croplands enhance water-use efficiency in the Northeastern Tibetan Plateau by Xu Wang, Jilin Yang, Jie Wang, Tong Yang, Chuchen Chang, Yanbo Zhao, Xiaocui Wu, Geli Zhang, Xiangming Xiao

“…The rapid green fodder expansion in native grassland and cropland in the northeastern Tibetan Plateau (a rain-fed region), driven by the increasing forage demand, has altered vegetation patterns and potentially affected carbon and water cycles. …”
Get full text

Western disturbances and climate variability: a review of recent developments by K. M. R. Hunt, K. M. R. Hunt, J.-P. Baudouin, A. G. Turner, A. G. Turner, A. P. Dimri, A. P. Dimri, G. Jeelani, Pooja, R. Chattopadhyay, R. Chattopadhyay, F. Cannon, T. Arulalan, T. Arulalan, M. S. Shekhar, T. P. Sabin, E. Palazzi

“…WDs are most common during the boreal winter (December to March), during which they bring the majority of precipitation – both rain and snow – to the western Himalaya, as well as to surrounding areas of north India, Pakistan, and the Tibetan Plateau. …”
Get full text

Isotherm and kinetic models of SO2 adsorption on palm kernel shell-activated carbon and xerogel blends: Effect of flow rate and contact time by Ali Mohamed Saleh, Azil Bahari Alias, Syed Shatir A. Syed Hasan, Ali H. Jawad, Thaer Abdulwahhab Shihab, Obed M. Ali, Wan Azlina Wan Ab Karim Ghani, Hadi Hamdi Mahdi, Noah Mohammed Saleh, Omer Khalil Ahmed

“…SO2 in flue gas causes respiratory difficulties and acid rain, and as energy consumption rises, the amount of SO2 emitted into the environment also rises. …”
Get full text

Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China by F. Chen, F. Chen, Y. Yang, L. Yu, Y. Li, W. Liu, Y. Liu, Y. Liu, S. Lolli

“…Statistical results indicate that during coarse-aerosol-polluted conditions, shallow-precipitation clouds have a lower mean height of the storm top (STH; <span class="inline-formula">∼3.2</span> km) but a higher mean near-surface rain rate (RR; <span class="inline-formula">∼1.78</span> <span class="inline-formula">mm h⁻¹</span>) and are characterized by high concentrations of large raindrops, driven mainly by significant collision–coalescence processes (accounting for 74.1 %). …”
Get full text